Anthro_LDSC             Anthropometric Genomic SEM LDSC dataset.
Fischbein_wt            Weight data across time.
FishersMethod           Fishers Method of combining p-values.
GFF                     Twin data: General Family Functioning, divorce,
                        and well-being.
HSwls                   Holzinger and Swineford (1939) partitioned into
                        ordered factors for WLS teaching.
Psych_LDSC              Psychiatric and educational attainment Genomic
                        SEM LDSC dataset.
RMSEA                   Generic RMSEA function
RMSEA.MxModel           RMSEA function for MxModels
RMSEA.summary.mxmodel   RMSEA function for MxModel summary
SE_from_p               Compute an SE from a beta and p value
aic_weights             Akaike weights for a set of models
bucks                   Print a money object
calculateStrictSb       calculateStrictSb
deg2rad                 Convert Degrees to Degrees
dl_from_dropbox         dl_from_dropbox
docData                 Twin data for Direction of causation modelling
extractAIC.MxModel      Extract AIC from MxModel
fin_options_Greeks      Black-Scholes Call Option Price and Greeks
                        Calculator
fin_options_LeapSimulate
                        Simulate and Compare LEAP Extrinsic Premium
                        Decay
fin_options_plotGreeks
                        Plot Option Delta and Gamma Curves
fin_options_teach       Teaching function for options
fin_resolveVolatility   Resolve Option Implied Volatility from Ticker
fin_stock_CAGR          Compute the CAGR of a stock
fin_stock_justifiedPE   Justified P/E Ratio
fin_stock_target        Compute the future value and gain of an
                        investment
fin_stock_ticker        Open a ticker in yahoo finance.
fin_stock_valuation     Work the valuation of a company
fin_tax_FIF             NZ FIF tax offset: NAV-neutral leverage (FDR on
                        the whole pile)
fin_tax_NI              Compute UK NI given annual Earnings.
fin_value_CAGR          Calculate Compound Annual Growth Rate (CAGR)
fin_value_CarryCost     Work the carry cost of a house
fin_value_NPV           Compute the net present value of a future
                        income stream.
fin_value_interest      Compute the value of a principal & annual
                        deposits at a compound interest over a number
                        of years
fin_value_percent       Compute the percent change needed to return to
                        the original value after percent off (or on).
geometric_mean          Geometric Mean
ggAddR                  Add a fit statistic to a ggplot
gh_feature_branch       Make a feature branch on a github fork.
gh_message_search       Search commit messages and link the hits on
                        GitHub.
gh_open_PR_url          Build and open the compare URL GitHub renders
                        as a PR page.
harmonic_mean           Harmonic Mean
install.OpenMx          Install OpenMx (GenomicMx binary build)
iqdat                   Twin data: IQ measured longitudinally across 4
                        ages.
libs                    load libraries
loadings                loadings Generic loadings function to extract
                        factor loadings from exploratory or
                        confirmatory factor analyses.
loadings.MxModel        Extract factor loadings from an EFA (factor
                        analysis).
mx_make                 Developer "make" helper for local OpenMx /
                        GenomicMx
noNAs                   Succinctly select complete rows from a
                        dataframe
oddsratio               Compute odds ratio (OR)
plot.MxLISRELModel      Create and display a graphical path diagram for
                        a LISREL model.
plot.MxModel            Create and display a graphical path diagram for
                        a model.
plot.MxModelTwinMaker   Create and display a graphical path diagram for
                        a path-based twin model.
plot.percent            Plot a percent change graph
plot.umx_GWAS           Plot GWAS Results
power.ACE.test          Test the power of an ACE model to detect paths
                        of interest.
print.RMSEA             Print a RMSEA object
print.oddsratio         Print a scale "oddsratio" object
print.percent           Print a percent object
print.reliability       Print a scale "reliability" object
prolific_anonymize      Clean up a prolific file for sharing by
                        removing anonymity-compromising columns.
prolific_check_ID       Return PIDs in df
prolific_read_demog     Read and optionally merge demographics file
                        from prolific academic
prolific_scoring_stub   prolific_scoring_stub
qm                      qm
rad2deg                 Convert Radians to Degrees
reliability             Report coefficient alpha (reliability)
residuals.MxModel       Get residuals from an MxModel
tmx_genotypic_effect    Graphical display of genotypic effects.
tmx_is.identified       Test if a factor model is identified
tmx_show                Show matrices of models in a easy-to-learn-from
                        format.
tmx_show.MxMatrix       Show matrices of models in a easy-to-learn-from
                        format.
tmx_show.MxModel        Show matrices of RAM models in a
                        easy-to-learn-from format.
tmx_show.MxModelGSEM    Show genomic SEM matrices
tvars                   Concatenate base variable names with suffixes
                        to create wide-format variable names (i.e
                        twin-format)
umx                     Functions for Structural Equation Modeling in
                        OpenMx
umxACE                  Build and run a 2-group Cholesky ACE twin model
                        (univariate or multivariate)
umxACE_DE               Build a Double-Entry Censored Data ACE twin
                        model
umxACE_GLM              Cholesky ACE twin model with mxFitFunctionGLM
umxACEcov               Run a Cholesky with covariates that are random
                        (in the expected covariance matrix)
umxACEv                 Build and run 2-group uni- or multi-variate ACE
                        models based on VARIANCE (not paths).
umxAPA                  Creates nicely formatted journal-style
                        summaries of models, p-values, data-frames and
                        much more.
umxAlgebra              A simple wrapper for mxAlgebra with name as the
                        first parameter for more readable compact code.
umxBrownie              A recipe Easter-egg for umx
umxCI                   Add (and, optionally, run) confidence intervals
                        to a structural model.
umxCI_boot              umxCI_boot
umxCLPM                 Runs cross-lagged panel models
umxCP                   umxCP: Build and run a Common Pathway twin
                        model
umxCloud                Run umx / OpenMx models on ephemeral Hetzner
                        Cloud multicore nodes
umxCompare              Print a comparison table of two or more
                        'OpenMx::mxModel()'s, nicely formatted.
umxConfint              Get confidence intervals from a umx model
umxCov2cor              Convert a covariance matrix into a correlation
                        matrix
umxDiagnose             Diagnose problems in a model - not working!
umxDiffMZ               MZ differences method for testing evidence for
                        causality.
umxDiscTwin             Intra-pair association in MZ, DZ twin models.
                        (ALPHA quality!)
umxDoC                  Build and run a 2-group Direction of Causation
                        twin models.
umxDoCp                 Make a direction of causation model based on
                        umxPath statements
umxEFA                  FIML-based Exploratory Factor Analysis (EFA)
umxEquate               umxEquate: Equate two or more paths
umxExamples             Example code from Twin Research and Human
                        Genetics Paper on umx
umxExpCov               Get the expected vcov matrix
umxExpMeans             Extract the expected means matrix from an
                        'OpenMx::mxModel()'
umxFactor               umxFactor
umxFactorScores         Return factor scores from a model as an easily
                        consumable dataframe.
umxFitIndices           Get additional fit-indices for a model with
                        umxFitIndices
umxFixAll               umxFixAll: Fix all free parameters
umxGSEM                 Fit genomic Structural Equation Models
umxGSEM_GWAS            Multivariate genomic SEM GWAS (SNP on a factor
                        or user model)
umxGSEM_dl_tutorial_files
                        Download tutorial-scale Genomic SEM files
umxGSEM_label_ldsc      Label or Assemble S, V, I, N into an LDSC-style
                        covstruc list
umxGSEM_ldsc            Multivariate LD score regression (OpenMx C++
                        engine)
umxGSEM_munge           Munge Genomic SEM Summary Statistics
umxGSEM_sim_snps        Simulate GWAS Summary Statistics for Genomic
                        SEM
umxGSEM_std             Standardize GSEM S and V matrices to the
                        correlation metric via Delta Method
umxGSEM_sumstats        Prepare multivariate SNP summary statistics for
                        genomic SEM GWAS
umxGetLatents           Get the latentVars from a RAM model
umxGetManifests         Get the manifestVars from a RAM model
umxGetModel             Used to get a RAM submodel by name
umxGetParameters        Get parameters from a model, with support for
                        pattern matching!
umxGxE                  umxGxE: Implements ACE models with moderation
                        of paths, e.g. by SES.
umxGxE_window           Implement the moving-window form of GxE
                        analysis.
umxGxEbiv               Purcell (2002) Bivariate GxE model: Suitable
                        when twins differ on the moderator.
umxHetCor               Create a matrix of correlations for variables
                        of diverse types (binary, ordinal, continuous)
umxIP                   umxIP: Build and run an Independent Pathway
                        twin model
umxJiggle               umxJiggle
umxLISREL               Make a LISREL model analogous to umxRAM
umxLav2RAM              Convert lavaan string to a umxRAM model
umxMI                   Report modifications which would improve fit.
umxMRDoC                Extends Mendelian randomization with the twin
                        design to test evidence of causality
umxMatrix               Make a mxMatrix with automatic labels. Also
                        takes name as the first parameter for more
                        readable code.
umxMatrixFree           Sets labeled matrix cells to free
umxMeasurementInvariance
                        Test measurement invariance of a confirmatory
                        factor analysis model
umxModel                Catches users typing umxModel instead of
                        umxRAM.
umxModelNames           Return names of models found within a model
umxModify               umxModify: Add, set, or drop model paths by
                        label.
umxParameters           Display path estimates from a model, filtering
                        by name and value.
umxParan                A wrapper to make paran easier to use. Just
                        automates applying 'complete.cases()'
umxPath                 Easier (and powerful) specification of paths in
                        SEM.
umxPlot                 Quickly plot y ~ x with a regression line and
                        R^2, and nice labels.
umxPlotACE              Make a graphical display of an ACE model
umxPlotACE_DE           Plot a double-entry censored twin model
                        (umxACE_DE)
umxPlotACE_GLM          Plot a GLM ACE twin model
umxPlotACEcov           Make a graphical display of an ACE model with
                        covariates.
umxPlotACEv             Produce a graphical display of an ACE
                        variance-components twin model
umxPlotCP               Draw and display a graphical figure of Common
                        Pathway model
umxPlotDoC              Plot a Direction of Causation Model.
umxPlotFun              Easily plot functions in R
umxPlotGxE              Plot the results of a GxE univariate test for
                        moderation of ACE components.
umxPlotGxEbiv           Plot the results of a GxE univariate test for
                        moderation of ACE components.
umxPlotIP               Draw a graphical figure for a Independent
                        Pathway model
umxPlotPredict          'umxPlotPredict' Take a model and plot the y
                        against predicted(y)
umxPlotSexLim           Draw and display a graphical figure of a Sex
                        limitation model
umxPlotSimplex          Draw and display a graphical figure of a
                        simplex model
umxPower                Test power to detect specified path values in a
                        model.
umxPrint_double_entry_data
                        Pretty-print method for double-entry censored
                        datasets
umxRAM                  Build and run path-based SEM models
umxRAM2Lav              Convert a RAM model to a lavaan string
umxRAM_DE               Build and run path-based Double-entry SEM
                        models including censored data
umxRAM_GLM              Path-based RAM model with mxFitFunctionGLM
umxReduce               Reduce models, and report the results.
umxReduceACE            Reduce an ACE model.
umxReduceGxE            Reduce a GxE model.
umxRenameMatrix         Rename a umxMatrix (even in a model)
umxRotate               Generic SEM factor model loading rotation
                        function
umxRotate.MxModelCP     Rotate a CP solution
umxRun                  umxRun: Run an mxModel
umxSetParameters        Change or fix parameters (e.g. their values,
                        labels, bounds, ..) in a model.
umxSexLim               Multivariate sex limitation twin model
umxSimplex              Build and run a simplex twin model (not ready
                        for use!)
umxSummarizeTwinData    Summarize twin data
umxSummary              Shows a compact, publication-style, summary of
                        umx models
umxSummary.MxDataStatic
                        Summarize WLS / summary-statistic
                        OpenMx::mxData objects
umxSummary.MxLISRELModel
                        umxSummary.MxLISRELModel
umxSummary.MxModel      Shows a compact, publication-style, summary of
                        a RAM model
umxSummary.MxModelGLM   Summary for a RAM model with mxFitFunctionGLM
umxSummary.list         Summarize a Genomic SEM / LDSC covariance
                        structure (covstruc)
umxSummaryACE           Shows a compact, publication-style, summary of
                        a umx Cholesky ACE model
umxSummaryACE_DE        Present results of a double-entry twin ACE
                        model (umxACE_DE)
umxSummaryACE_GLM       Summary for a GLM ACE twin model (Cholesky)
umxSummaryACEcov        Present results of a twin ACE-model with
                        covariates in table and graphical forms.
umxSummaryACEv          Shows a compact, publication-style, summary of
                        a variance-based Cholesky ACE model.
umxSummaryCP            Present the results of a Common-pathway twin
                        model in table and graphical form
umxSummaryDoC           Shows a compact, publication-style, summary of
                        a umx Direction of Causation model
umxSummaryGxE           Summarize a GxE model
umxSummaryGxEbiv        Summarize a bivariate GxE twin model
umxSummaryIP            Present the results of an independent-pathway
                        twin model in table and graphical form
umxSummaryMRDoC         Present the results of a Mendelian
                        Randomization Direction of Causation Model in a
                        table
umxSummarySexLim        Shows a compact, publication-style, summary of
                        a umx Sex Limitation model
umxSummarySimplex       Shows a compact, publication-style, summary of
                        a Simplex model.
umxSuperModel           Make a multi-group (super) model
umxThresholdMatrix      Create the threshold matrix needed for modeling
                        ordinal data.
umxTwinMaker            Make a twin model from a model describing just
                        one person
umxTwoStage             Build a SEM implementing the instrumental
                        variable design
umxUnexplainedCausalNexus
                        umxUnexplainedCausalNexus
umxVersion              Get or print the version of umx, along with
                        detail from OpenMx and general system info.
umxWeightedAIC          AIC weight-based conditional probabilities.
umx_APA_pval            Round p-values according to APA guidelines
umx_ICA_report          Journal processing report for an ICA
                        Scholastica export
umx_aggregate           Convenient formula-based cross-tabs & built-in
                        summary functions
umx_apply               umx_apply
umx_array_shift         Like the php array_shift function: shifts an
                        item off the beginning of a list
umx_as_numeric          umx_as_numeric
umx_check               umx_check
umx_check_OS            umx_check_OS
umx_check_model         Check for required features in an OpenMx.
umx_check_names         Check if a request name exists in a dataframe
                        or related object
umx_check_parallel      Check that OpenMx is using OpenMP, test cores,
                        and get timings
umx_complete_dollar     umx_complete_dollar
umx_cont_2_quantiles    umx_cont_2_quantiles
umx_cor                 Report correlations and their p-values
umx_data                Show the datasets and vignettes in umx
umx_detect_cores        Detect number of CPU cores (including
                        Performance cores)
umx_explode             Explode a string (Like the php function
                        'explode')
umx_explode_twin_names
                        Break twin variable names (BMI_T1, BMI_T2) into
                        base variable names (BMI, "_T", 1:2)
umx_file_load_pseudo    Read in files from pseudocons.
umx_find_object         umx_find_object
umx_fun_mean_sd         Summarizing functions used in umx_aggregate and
                        for umxAPA
umx_get_bracket_addresses
                        Get bracket-style addresses from an mxMatrix
umx_get_checkpoint      Get or set checkpointing for a model
umx_get_options         Display umx options
umx_grep                Search for text
umx_has_CIs             umx_has_CIs
umx_has_been_run        umx_has_been_run
umx_has_means           umx_has_means
umx_has_square_brackets
                        Check if a label contains square brackets
umx_is_GSEM             umx_is_GSEM
umx_is_LISREL           umx_is_LISREL
umx_is_MxData           Check if an object is an mxData object
umx_is_MxMatrix         umx_is_MxMatrix
umx_is_MxModel          umx_is_MxModel
umx_is_RAM              umx_is_RAM
umx_is_class            Check if variables in a dataframe are in a list
                        of classes.
umx_is_cov              umx_is_cov
umx_is_endogenous       List endogenous variables in a model
umx_is_exogenous        umx_is_exogenous
umx_is_numeric          Check if variables in a dataframe are numeric
umx_is_ordered          Test if one or more variables in a dataframe
                        are ordered
umx_log_wide_twin_data
                        Log-transform wide twin data with a positive
                        shift
umx_long2wide           Take a long twin-data file and make it wide
                        (one family per row)
umx_lower.tri           Get values from lower triangle of a matrix
umx_lower2full          Convert lower-only matrix data to full (or
                        enforce symmetry on a full matrix)
umx_make                "make" the umx package using devtools: release
                        to CRAN etc.
umx_make_GxE_data       Simulate ground-truth Purcell GxE twin data for
                        benchmarking umxGxE
umx_make_MR_data        Simulate Mendelian Randomization data
umx_make_TwinData       Simulate twin data with control over A, C, and
                        E (and D) parameters
umx_make_double_entry_data
                        Prepare data for Double-Entry Censored Twin
                        Models
umx_make_fake_data      umx_make_fake_data
umx_make_raw_from_cov   Turn a cov matrix into raw data
umx_make_sql_from_excel
                        Convert an excel spreadsheet in a text file on
                        sql statements.
umx_make_twin_data_nice
                        Convert a twin dataset into umx standard
                        format.
umx_means               umx_means
umx_merge_randomized_columns
                        umx_merge_randomized_columns
umx_move_file           Move files
umx_msg                 Print the Name and Compact Contents of a
                        Variable
umx_names               umx_names
umx_open                Open a file or folder
umx_open_CRAN_page      Open the CRAN page for a package
umx_pad                 Pad an Object with NAs
umx_polychoric          FIML-based polychoric, polyserial, and Pearson
                        correlations
umx_polypairwise        FIML-based Pairwise polychoric, polyserial, and
                        Pearson correlations
umx_polytriowise        FIML-based trio-based polychoric, polyserial,
                        and Pearson correlations
umx_print               Print tables in a range of formats (markdown
                        default, see 'umx_set_table_format()' for other
                        formats) or as a web browser table.
umx_r_test              Test the difference between correlations for
                        significance.
umx_read_lower          Read lower-triangle of data matrix from console
                        or file
umx_rename              umx_rename
umx_rename_file         Rename files
umx_reorder             Reorder or drop variables from a
                        correlation/covariance matrix.
umx_residualize         Easily residualize variables in long or wide
                        dataframes, returning them changed in-place.
umx_rot                 Rotate a vector
umx_round               umx_round
umx_scale               Scale data columns, skipping non-scalable
                        columns
umx_scale_reliabilities
                        Accumulate scale reliabilities and report them
                        as a table
umx_scale_wide_twin_data
                        Scale wide twin data
umx_score_scale         Score a psychometric scale by summing normal
                        and reversed items.
umx_select_valid        Update NA values in one column with valid
                        entries from another
umx_set_auto_plot       umx_set_auto_plot
umx_set_auto_run        Automatically run models?
umx_set_checkpoint      Set the checkpoint status for a model or global
                        options
umx_set_condensed_slots
                        umx_set_condensed_slots
umx_set_cores           Set the number of cores your models will use.
umx_set_data_variance_check
                        umx_set_data_variance_check
umx_set_dollar_symbol   Set the symbol for money
umx_set_optimization_options
                        Set options that affect optimization in OpenMx
umx_set_optimizer       Set the optimizer in OpenMx
umx_set_plot_file_suffix
                        Set output suffix used in umx SEM diagram files
                        saved to disk.
umx_set_plot_format     Set output format of plots (structural
                        diagrams) in umx
umx_set_separator       Set the separator
umx_set_silent          Turn off most console and summary output from
                        umx
umx_set_table_format    umx_set_table_format
umx_stack               Stack data like stack() does, with more
                        control.
umx_standardize         Return a standardized version of a Structural
                        Model
umx_str_chars           Select desired characters from a string
umx_str_from_object     Return variable name as a string
umx_string_to_algebra   Convert a string to an OpenMx algebra
umx_strings2numeric     A wrapper to map columns of strings to numeric.
umx_tail                Show the n most extreme rows of a data.frame
umx_time                umx_time
umx_trim                Trim whitespace surrounding a string.
umx_tutorials           Easily open vignettes (tutorials) for a package
umx_var                 Get variances from a df that might contain some
                        non-numeric columns
umx_wide2long           umx_wide2long
umx_wide2longTwinData   Change twin data from wide (2 twins per row) to
                        long format.
umx_wide4lmer           Take a long dataframe and make it wide for
                        repeated measures and multi-level analysis
umx_write_to_clipboard
                        umx_write_to_clipboard
umx_yj_wide_twin_data   Yeo-Johnson transform wide twin data
                        (Non-destructive)
us_skinfold_data        Anthropometric data on twins
xgh_check_base_name     Check branch address is valid.
xgh_get_current_branch
                        Get the current git branch
xmuCalculateSRMR        xmuCalculateSRMR
xmuHasSquareBrackets    xmuHasSquareBrackets
xmuLabel                xmuLabel: Add labels to a RAM model, matrix, or
                        path
xmuLabel_MATRIX_Model   xmuLabel_MATRIX_Model (not a user function)
xmuLabel_Matrix         xmuLabel_Matrix (not a user function)
xmuLabel_RAM_Model      xmuLabel_RAM_Model (not a user function)
xmuMI                   xmuMI (not for end users)
xmuMakeOneHeadedPathsFromPathList
                        xmuMakeOneHeadedPathsFromPathList
xmuMakeTwoHeadedPathsFromPathList
                        xmuMakeTwoHeadedPathsFromPathList
xmuMaxLevels            xmuMaxLevels
xmuMinLevels            xmuMinLevels
xmuPropagateLabels      xmuPropagateLabels (not a user function)
xmuRAM2Ordinal          xmuRAM2Ordinal
xmuTwinSuper_Continuous
                        Create core of twin model for all-continuous
                        data.
xmuTwinSuper_NoBinary   xmuTwinSuper_NoBinary
xmuTwinUpgradeMeansToCovariateModel
                        Not for end-users: Add a means model with
                        covariates to a twin model
xmuValues               xmuValues: Set values in RAM model, matrix, or
                        path
xmu_CI_merge            xmu_CI_merge
xmu_CI_stash            Stash the CI values of a model as strings in
                        the values of the model
xmu_DF_to_mxData_TypeCov
                        Convert a dataframe into a cov mxData object
xmu_PadAndPruneForDefVars
                        Where all data are missing for a twin, add
                        default values for definition variables,
                        allowing the row to be kept
xmu_WLS_align_jacobian
                        Align WLS implied Jacobian to
                        asymptotic-covariance moment order
xmu_WLS_align_weight    Subset and align WLS weight matrix to common
                        moment set
xmu_WLS_polycor_names   Polycorrelation moment names from WLS
                        asymptotic-covariance labels
xmu_ace_de_apply_censor_thresholds
                        Apply double-entry mean/variance/threshold
                        identification (post-supermodel)
xmu_ace_de_parse_censor_meta
                        Resolve which double-entry pairs get fixed
                        censor thresholds
xmu_ace_de_parse_censor_rule
                        Parse a double-entry censoring rule into cut,
                        side, and fixable flag
xmu_ace_de_release_binary_v1
                        Drop selected traits from binary Vtot==1
                        constraint (DE known-cut ID)
xmu_bracket_address2rclabel
                        Convert a bracket address into an A_rXcX-style
                        label.
xmu_catml_df3_diagnostic
                        Polycorrelation-block Jacobian rank degrees of
                        freedom (diagnostic)
xmu_catml_discrepancy_at_WLS
                        Evaluate catML discrepancy (XX_3) at fixed WLS
                        estimates
xmu_catml_eval_model    Build correlation-matrix ML evaluation model at
                        fixed WLS estimates
xmu_catml_implied_correlation
                        Model-implied correlation matrix at fixed WLS
                        estimates
xmu_catml_wls_v         catML expected information matrix (V) for
                        correlation moments
xmu_cell_is_on          Return whether a cell is in a set location of a
                        matrix
xmu_check_levels_identical
                        xmu_check_levels_identical
xmu_check_needs_means   Check data to see if model needs means.
xmu_check_variance      Check the minimum variance in data frame
xmu_clean_label         Remove illegal characters from labels
xmu_compare_WLS         xmu_compare_WLS
xmu_compare_constraint_note
                        Lines reconciling raw free parameters with
                        equality constraints.
xmu_compare_robust_ML   xmu_compare_robust_ML
xmu_custom_completer    xmu_custom_completer
xmu_data_missing        Drop rows with missing definition variables
xmu_data_swap_a_block   Data helper function to swap blocks of data
                        from one set of columns to another.
xmu_describe_data_WLS   Determine if a dataset will need statistics for
                        the means if used in a WLS model.
xmu_dot_define_shapes   Helper to make the list of vars and their
                        shapes for a graphviz string
xmu_dot_make_paths      xmu_dot_make_paths (not for end users)
xmu_dot_make_residuals
                        xmu_dot_make_residuals (not for end users)
xmu_dot_maker           Internal umx function to help plotting graphviz
xmu_dot_mat2dot         Return dot code for paths in a matrix
xmu_dot_move_ranks      xmu_dot_move_ranks (not for end users)
xmu_dot_rank            Helper to make a graphviz rank string
xmu_dot_rank_str        xmu_dot_rank_str (not for end users)
xmu_equate_threshold_values
                        Equate Threshold Values Across Columns in a
                        Model
xmu_extract_column      Get one or more columns from mzData or regular
                        data.frame
xmu_get_CI              Look up and report CIs for free parameters
xmu_gsem_expand_snp     Expand SNP Summary Statistics into a Full
                        Covariance Matrix
xmu_gsem_extract_snp_path
                        Extract SNP Effect from a Fitted Model
xmu_gsem_subset_covstruc
                        Subset a GenomicSEM Covariance Structure to
                        Selected Traits
xmu_has_summary_mxData
                        Check if this version of OpenMx supports modern
                        WLS (mxData of type = "summary")
xmu_invert_matrix       Invert a matrix with chol, then ginv, then
                        solve fallbacks
xmu_is_ordinal_WLS      Detect ordinal or categorical WLS models
xmu_is_wls              Check if a model is a WLS model
xmu_lavaan_process_group
                        Process table of paths to model
xmu_make_TwinSuperModel
                        Helper to make a basic top, MZ, and DZ model.
xmu_make_bin_cont_pair_data
                        Make pairs of bin & continuous columns to
                        represent censored data
xmu_make_mxData         Upgrade a dataframe to an mxData type.
xmu_match.arg           Select first item in list of options, while
                        being flexible about choices.
xmu_mxData_summary      Create mxData(type = "summary") with an OpenMx
                        capability guard
xmu_mxRefModels         Generate reference models safely across OpenMx
                        versions
xmu_name_from_lavaan_str
                        Find name for model
xmu_openmx_engine_status
                        Detect whether loaded OpenMx is a
                        GenomicMx-capable build
xmu_openmx_install_message
                        Canonical install recipe when GenomicMx OpenMx
                        is required
xmu_parse_completion_context
                        xmu_parse_completion_context
xmu_path2twin           Re-name variables in umxPaths to twin versions
xmu_path_regex          Re-name variables umxPaths to twin versions
xmu_print_algebras      Print algebras from a umx model
xmu_ram_de_apply_censor_thresholds
                        Apply RAM DE latent-trait identification
xmu_ram_de_parse_censor_meta
                        Parse censor cuts for single-group RAM DE
xmu_rclabel_2_bracket_address
                        Convert an "A_r1c1"-style label to a bracket
                        address.
xmu_relevel_factors     Relabel Factor Columns in a Data Frame
xmu_require_summary_mxData
                        Require OpenMx support for type = "summary"
                        mxData
xmu_robust_ML_fit       xmu_robust_ML_fit
xmu_robust_WLS_fit      Robust WLS fit statistics: Satorra-Bentler
                        (2010) and Savalei (2021)
xmu_safe_run_summary    Safely run and summarize a model
xmu_savalei_fit_cfi     Robust CFI from mean-and-variance corrected
                        noncentrality (Savalei 2021 form)
xmu_savalei_fit_rmsea   Robust RMSEA from mean-and-variance corrected
                        noncentrality (Savalei 2021 form)
xmu_savalei_fit_tli     Robust TLI from mean-and-variance corrected
                        noncentrality (Savalei 2021 form)
xmu_savalei_null_scaling_factor
                        Savalei (2021) independence/null scaling factor
                        \hat{c}_{3,null}
xmu_savalei_polycor_blocks
                        Build OpenMx-native polycorrelation blocks for
                        the Savalei sandwich
xmu_savalei_scaling_factor
                        Savalei (2021) target scaling factor \hat{c}_3
                        for ordinal WLS
xmu_set_sep_from_suffix
                        Just a helper to cope with deprecated suffix
                        lying around.
xmu_show_fit_or_comparison
                        Show model logLik of model or print comparison
                        table
xmu_simplex_corner      Internal function to help building simplex
                        models
xmu_standardize_ACE     xmu_standardize_ACE
xmu_standardize_ACEcov
                        xmu_standardize_ACEcov
xmu_standardize_ACEv    Standardize an ACE variance components model
                        (ACEv)
xmu_standardize_CP      Function to standardize a common pathway model
xmu_standardize_IP      non-user: Standardize an IP model
xmu_standardize_LISREL
                        xmu_standardize_LISREL
xmu_standardize_RAM     Standardize a Structural Model (not for end
                        users)
xmu_standardize_SexLim
                        Standardize a SexLim model
xmu_standardize_Simplex
                        Standardize a Simplex twin model
xmu_start_value_list    Make start values
xmu_starts              Helper providing boilerplate start values for
                        means and variance in twin models
xmu_summary_RAM_group_parameters
                        Order and group the parameters in a RAM summary
xmu_threshold_id_RAM    Enforce or check Mehta/binary identification
                        for threshold RAM models
xmu_threshold_id_twin_check
                        Verify twin-model threshold identification
                        (means / binary Vtot constraint)
xmu_topo_sort           Topologically sort a graph based on from and to
                        paths
xmu_twin_add_WeightMatrices
                        Add weight matrices to twin models.
xmu_twin_check          Check basic aspects of input for twin models.
xmu_twin_get_var_names
                        Not for user: pull variable names from a twin
                        model
xmu_twin_make_def_means_mats_and_alg
                        Make the matrices and algebras for
                        definition-based means models
xmu_twin_upgrade_selDvs2SelVars
                        Upgrade selDVs to selVars
xmu_update_covar        Update covariates in twin data sets to 99999 if
                        missing and corresponding twin phenotype to NA
xmu_wls_display_chi     Display chi-square and AFIs for a WLS model
                        (shared by summary and compare)
xmu_wls_extract_WV      Extract WLS useWeight (W) and asymCov (Gamma)
                        from an MxModel
