Package: marginaleffects
Title: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis
        Tests
Version: 1.0.0
Authors@R: 
    c(person(given = "Vincent",
             family = "Arel-Bundock",
             role = c("aut", "cre", "cph"),
             email = "vincent.arel-bundock@umontreal.ca",
             comment = c(ORCID = "0000-0003-2042-7063")),
      person(given = "Noah",
             family = "Greifer",
             role = "ctb",
             email = "noah.greifer@gmail.com",
             comment = c(ORCID = "0000-0003-3067-7154")),
      person("Etienne", "Bacher",
             email = "etienne.bacher@protonmail.com",
             role = "ctb",
             comment = c(ORCID = "0000-0002-9271-5075")),
      person(given = "Grant",
             family = "McDermott",
             role = c("ctb"),
             comment = c(ORCID = "0000-0001-7883-8573")),
      person(given = "Andrew",
             family = "Heiss",
             role = c("ctb"),
             comment = c(ORCID = "0000-0002-3948-3914"))
             )
Description: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference. Details can be found in Arel-Bundock, Greifer, and Heiss (2024) <doi:10.18637/jss.v111.i09>.
License: GPL (>= 3)
Copyright: inst/COPYRIGHTS
Encoding: UTF-8
URL: https://marginaleffects.com/
BugReports: https://github.com/vincentarelbundock/marginaleffects/issues
Depends: R (>= 3.6.0)
Imports: backports, checkmate, data.table (>= 1.16.4), generics,
        Formula, insight (>= 1.3.0), Matrix, methods, rlang
Suggests: AER, Amelia, afex, aod, adrftools, arrow, bayestestR, bench,
        betareg, BH, bife, biglm, blme, boot, brglm2, brms,
        brmsmargins, broom, car, carData, causaldata, clarify, cjoint,
        cobalt, collapse, conflicted, countrycode, covr, crch,
        DALEXtra, DCchoice, DeclareDesign, dbarts, DirichletReg,
        distributional, dfidx, dplyr, emmeans, equivalence, estimatr,
        fixest, flexsurv, fmeffects, fontquiver, future, future.apply,
        fwb, gam, gamlss, gamlss.dist, geepack, ggdist, ggokabeito,
        ggplot2, ggrepel, glmmTMB, glmtoolbox, glmx, haven, here,
        itsadug, ivreg, kableExtra, lme4, lmerTest, logistf, magrittr,
        margins, MatchIt, MASS, mclogit, MCMCglmm, mhurdle, missRanger,
        mgcv, mice, miceadds, mlogit, mlr3verse, mmrm (>= 0.3.14),
        modelbased, modelsummary, multcomp, mvgam, mvtnorm,
        nanoparquet, nlme, nestedLogit, nnet, numDeriv, nycflights13,
        optmatch, ordbetareg, ordinal, parameters, parsnip, partykit,
        patchwork, pkgdown, phylolm, pbapply, plm, polspline,
        posterior, probably, pscl, purrr, quantreg, quantregForest,
        Rchoice, REndo, rcmdcheck, Rdatasets, remotes, rmarkdown, rms,
        robust, robustbase, robustlmm, rsample, rstanarm, rstantools,
        rstpm2, rstudioapi, rsvg, sampleSelection, sandwich, scam,
        spelling, speedglm, splines, survey, svyVGAM, survival,
        svglite, systemfit, systemfonts, tibble, tictoc, tidymodels,
        tidyr, tidyverse, tinyplot, tinysnapshot (>= 0.0.7), tinytable
        (>= 0.6.1), tinytest, titanic, truncreg, tsModel, VGAM, withr,
        workflows, yaml, xgboost, altdoc, knitr, quarto
Collate: 'add_hypothesis.R' 'add_rowid.R' 'attributes.R'
        'backtransform.R' 'broom.R' 'by.R' 'class.R' 'comparisons.R'
        'comparisons_plan.R' 'comparisons_plan_bayesian.R'
        'comparisons_plan_frequentist.R' 'components.R'
        'construct_call.R' 'datagrid.R' 'equivalence.R' 'get_ci.R'
        'get_coef.R' 'get_comparisons_data.R'
        'get_comparisons_data_character.R'
        'get_comparisons_data_factor.R'
        'get_comparisons_data_logical.R'
        'get_comparisons_data_numeric.R' 'get_dataset.R'
        'get_degrees_of_freedom.R' 'get_draws.R' 'get_group_names.R'
        'get_hypotheses.R' 'get_jacobian.R' 'get_jacobian_analytic.R'
        'get_labels.R' 'get_model_matrix.R' 'get_modeldata.R'
        'get_predict.R' 'get_se_delta.R' 'get_vcov.R' 'hush.R'
        'hypotheses.R' 'hypotheses_joint.R' 'hypothesis.R'
        'hypothesis_compile.R' 'hypothesis_formula.R'
        'hypothesis_function.R' 'hypothesis_matrix.R'
        'hypothesis_string.R' 'imputation.R' 'inferences.R'
        'inferences_boot.R' 'inferences_conformal.R'
        'inferences_conformal_cv.R' 'inferences_conformal_full.R'
        'inferences_conformal_quantile.R'
        'inferences_conformal_split.R' 'inferences_fwb.R'
        'inferences_rsample.R' 'inferences_simulation.R'
        'jacobian_stage.R' 'matrix_apply.R' 'mean_or_mode.R'
        'methods.R' 'set_coef.R' 'methods_AER.R' 'sanity_model.R'
        'methods_DirichletReg.R' 'methods_MASS.R' 'methods_MCMCglmm.R'
        'methods_Rchoice.R' 'methods_WeightIt.R' 'methods_aaa.R'
        'methods_afex.R' 'methods_aod.R' 'methods_betareg.R'
        'methods_bife.R' 'methods_biglm.R' 'methods_nnet.R'
        'methods_brglm2.R' 'methods_brms.R' 'methods_crch.R'
        'methods_dataframe.R' 'methods_dbarts.R' 'methods_fixest.R'
        'methods_flexsurv.R' 'methods_gamlss.R' 'methods_geepack.R'
        'methods_glmmTMB.R' 'methods_glmtoolbox.R' 'methods_glmx.R'
        'methods_ivreg.R' 'methods_lme4.R' 'methods_mclogit.R'
        'methods_mgcv.R' 'methods_mhurdle.R' 'methods_mice.R'
        'methods_mlm.R' 'methods_mlogit.R' 'methods_mlr3.R'
        'methods_mmrm.R' 'methods_nestedLogit.R' 'methods_nlme.R'
        'methods_ordinal.R' 'methods_plm.R' 'methods_pscl.R'
        'methods_quantreg.R' 'methods_rms.R' 'methods_robustlmm.R'
        'methods_rstanarm.R' 'methods_rstpm2.R'
        'methods_sampleSelection.R' 'methods_scam.R' 'methods_stats.R'
        'methods_survey.R' 'methods_survival.R' 'methods_svyVGAM.R'
        'methods_systemfit.R' 'methods_tidymodels.R' 'methods_tobit1.R'
        'modelarchive.R' 'multcomp.R' 'myTryCatch.R' 'package.R'
        'pad.R' 'plan_replay.R' 'plot.R' 'plot_build.R'
        'plot_comparisons.R' 'plot_predictions.R' 'plot_slopes.R'
        'predictions.R' 'predictions_plan.R'
        'predictions_plan_bayesian.R' 'predictions_plan_frequentist.R'
        'print.R' 'prune.R' 'refit.R' 'sanitize_by.R'
        'sanitize_comparison.R' 'sanitize_condition.R'
        'sanitize_conf_level.R' 'sanitize_hypothesis_formula.R'
        'sanitize_interaction.R' 'sanitize_newdata.R'
        'sanitize_numderiv.R' 'sanitize_reserved.R' 'sanitize_type.R'
        'sanitize_variables.R' 'sanitize_vcov.R' 'sanity.R'
        'sanity_dots.R' 'sanity_inferences.R' 'sanity_multcomp.R'
        'settings.R' 'slopes.R' 'sort.R' 'tinytest.R'
        'type_dictionary.R' 'unpack_matrix_cols.R' 'utils.R'
        'vcov_unconditional.R' 'vcov_unconditional_sanitization.R'
        'zzz.R'
Language: en-US
VignetteBuilder: knitr, quarto
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-09-02 17:11:04 UTC; vincent
Author: Vincent Arel-Bundock [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-2042-7063>),
  Noah Greifer [ctb] (ORCID: <https://orcid.org/0000-0003-3067-7154>),
  Etienne Bacher [ctb] (ORCID: <https://orcid.org/0000-0002-9271-5075>),
  Grant McDermott [ctb] (ORCID: <https://orcid.org/0000-0001-7883-8573>),
  Andrew Heiss [ctb] (ORCID: <https://orcid.org/0000-0002-3948-3914>)
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Repository: CRAN
Date/Publication: 2026-09-03 08:10:02 UTC
Built: R 4.5.3; ; 2026-09-06 23:53:11 UTC; windows
