Geometric Smoothing and Conditional Expectation Methods
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘geosmooth’ version 0.1.0
Help Pages
A B C E F G H L M N P Q R S T V
| geosmooth-package | geosmooth package |
-- A --
| apply.metric.graph.lowpass.path | Apply a Metric Graph Low-Pass Filter Path |
| as.data.frame.synthetic_dataset | Summarize a synthetic dataset as one metadata row |
-- B --
| bootstrap.malps | Bootstrap Uncertainty For A Fixed-Selection MALPS Fit |
-- C --
| compare.synthetic.dataset | Compare two synthetic datasets scientifically |
-- E --
| edge.lengths.synthetic.geometry | Exact latent-segment lengths under a synthetic geometry |
| embed.synthetic.geometry | Embed latent coordinates through a synthetic geometry |
-- F --
| fit.chart.kernel | Fit a Chart-Kernel Smoother |
| fit.density | Fit a Density Estimator |
| fit.graph.trend.filtering | Fit Graph Trend Filtering |
| fit.local.likelihood | Fit a Local-Likelihood Density or Bernoulli Smoother |
| fit.lpl.tf | Fit A Local Polynomial Lifting Trend Filter |
| fit.lps | Fit a Local Polynomial Smoother |
| fit.malps | Fit Model-Averaged Local Polynomial Smoothing |
| fit.metric.graph.lowpass | Fit Metric-Conductance Graph Low-Pass Regression |
| fit.ps.lps | Fit Prediction-Synchronized Local Polynomial Smoothing |
| fit.pttf.trend.filtering | Fit A Parallel-Transport Trend Filter From A PTTF Operator |
| fit.slpl.tf | Fit A Fixed-Operator Synchronized LPL-TF Model |
| fit.ssrhe.hessian.l1.regression | Fit SSRHE-Style Hessian L1 Regression |
| fit.ssrhe.hessian.regression | Fit SSRHE-Style Hessian-Energy Regression |
| fit.ssrhe.hessian.regression.cv | Select SSRHE Hessian Regression Penalties by Label Cross-Validation |
| fit.ssrhe.hessian.regression.gcv | Select SSRHE Hessian Regression Penalties by GCV |
| fit.subject.od | Fit Subject-Occupation Density |
-- G --
| geosmooth | geosmooth package |
| get.region.boundary | Get Boundary Vertices of a Region in a Graph |
| graph.trend.filtering.operator | Construct a Graph Trend-Filtering Operator |
-- H --
| harmonic.smoother | Perform Harmonic Smoothing with Topology Tracking |
-- L --
| lpl.tf.operator | Construct a Local Polynomial Lifting Trend-Filtering Operator |
| lps.backend.diagnostics | Report LPS Backend and Chart-Dimension Diagnostics |
| lps.grouped.foldid | Build a Cluster-Respecting Fold Assignment |
| lps.nested.cv | Nested Cross-Validation for LPS with Explicit, Recorded Folds |
| lps.pointwise.band | Pointwise Variance and Confidence Band for a Fixed-Configuration LPS Fit |
| lps.smoother.matrix | Extract the Linear-Smoother Matrix of a Fixed-Configuration LPS Fit |
-- M --
| malps.gcv | Compute MALPS Linear-Smoother Diagnostics |
| malps.smoother.matrix | Construct The Conditional MALPS Smoother Matrix |
| materialize.synthetic | Materialize a synthetic-data specification |
| materialize.synthetic.instance | Materialize a frozen synthetic instance |
| metric.graph.heat.eta.grid | Construct a Graph Heat-Time Grid |
| metric.graph.heat.extend.lower | Propose a Guarded Lower Graph Heat Time |
| metric.graph.lowpass.basis | Construct a Reusable Metric Graph Low-Pass Spectral Basis |
| metric.graph.lowpass.operator | Construct a Metric-Conductance Graph Low-Pass Operator |
-- N --
| normalize.density | Normalize Fitted Values Into a Density |
| normalize.density.default | Normalize Fitted Values Into a Density |
| normalize.density.lps | Normalize Fitted Values Into a Density |
| normalize.density.metric.graph.lowpass.fit | Normalize Fitted Values Into a Density |
| normalize.density.metric.graph.lowpass.refit | Normalize Fitted Values Into a Density |
| normalize.density.numeric | Normalize Fitted Values Into a Density |
| normalize.density.ps_lps | Normalize Fitted Values Into a Density |
-- P --
| perform.harmonic.smoothing | Perform Harmonic Smoothing on Graph Function Values |
| plot.harmonic_smoother | Plot Method for Harmonic Smoother Results |
| plot.synthetic_dataset | Plot a canonical synthetic dataset |
| predict.lpl_tf | Predict From A Local Polynomial Lifting Trend Filter |
| predict.lps | Predict from an LPS Fit |
| predict.malps | Predict From A MALPS Fit |
| predict.slpl_tf | Predict From A Fixed-Operator Synchronized LPL-TF Model |
| print.harmonic_smoother | Print Method for Harmonic Smoother Results |
| print.summary.harmonic_smoother | Print Method for Summary of Harmonic Smoother Results |
| print.synthetic_dataset | Print a canonical synthetic dataset |
| pttf.geometry | Construct PTTF Local Geometry |
| pttf.operator | Construct PTTF Transported-Difference Operators |
| pttf.operator.filter.rows | Filter Rows Of A PTTF Operator |
-- Q --
| quadform.gradient | Evaluate gradients of all quadforms |
| quadform.metric | Evaluate the induced metric of a quadform geometry |
-- R --
| refit.lpl.tf | Refit A Local Polynomial Lifting Trend Filter |
| refit.malps | Refit A MALPS Smoother With A New Response |
| refit.metric.graph.lowpass | Refit Metric-Conductance Graph Low-Pass Regression |
| refit.slpl.tf | Refit A Fixed-Operator Synchronized LPL-TF Model |
| refit.ssrhe.hessian.l1.regression | Refit SSRHE-Style Hessian L1 Regression |
| refit.ssrhe.hessian.regression | Refit SSRHE-Style Hessian-Energy Regression |
-- S --
| slpl.tf.operator | Construct A Synchronized LPL-TF Fixed Operator |
| ssrhe.hessian.operator | Construct an SSRHE-Style Local Hessian Energy Operator |
| ssrhe.support.grid | Build Candidate Support Profiles for SSRHE Adaptive-Radius Tuning |
| summary.harmonic_smoother | Summary Method for Harmonic Smoother Results |
| synthetic.circle | Specify a circle geometry |
| synthetic.dataset.checksum | Compute the canonical content checksum of a synthetic dataset |
| synthetic.helix | Specify a helix geometry |
| synthetic.point.line.junction | Specify a point-line junction |
| synthetic.quadform | Specify a quadform geometry |
| synthetic.registry.ids | List maintained synthetic recipe IDs |
| synthetic.registry.seed | Resolve the legacy seed for an SSRHE registry recipe |
| synthetic.registry.spec | Resolve a maintained synthetic recipe |
| synthetic.response.bernoulli | Bernoulli response specification |
| synthetic.response.clustered.gaussian | Clustered Gaussian response specification |
| synthetic.response.gaussian | Gaussian response specification |
| synthetic.response.heteroskedastic.gaussian | Heteroskedastic Gaussian response specification |
| synthetic.response.laplace.outlier | Laplace response with Gaussian contamination |
| synthetic.sampling.clustered | Clustered sampling specification |
| synthetic.sampling.dirichlet.zeros | Dirichlet sampling with structural zeros |
| synthetic.sampling.gapped.uniform | Gapped-uniform sampling specification |
| synthetic.sampling.grid.interval | Deterministic interval-grid sampling specification |
| synthetic.sampling.stratified | Legacy G4 stratified sampling specification |
| synthetic.sampling.truncated.normal | Truncated-normal sampling specification |
| synthetic.sampling.uniform.box | Uniform-box sampling specification |
| synthetic.sampling.uniform.disk | Uniform-disk sampling specification |
| synthetic.sampling.uniform.interval | Uniform-interval sampling specification |
| synthetic.sampling.uniform.rectangle | Uniform-rectangle sampling specification |
| synthetic.simplex | Specify a simplex geometry |
| synthetic.spec | Assemble a synthetic-data specification |
| synthetic.sphere.cap | Specify a sphere-cap geometry |
| synthetic.stratified | Assemble a stratified geometry |
| synthetic.stratum.point | Specify a point stratum |
| synthetic.stratum.rectangle | Specify a rectangle stratum |
| synthetic.stratum.segment | Specify a line-segment stratum |
| synthetic.torus.patch | Specify a torus-patch geometry |
| synthetic.trefoil | Specify a trefoil-knot geometry |
| synthetic.truth.gaussian.mixture | Specify a Gaussian-mixture truth |
| synthetic.truth.logit | Specify a sinusoidal finite-design logit truth |
| synthetic.truth.named | Specify a versioned named truth evaluator |
| synthetic.truth.occupation.mixture | Specify a finite-design occupation-mixture truth |
| synthetic.truth.polynomial | Specify a polynomial truth |
-- T --
| transported.graph.hessian.operator | Construct a Transported Graph Hessian Operator |
-- V --
| validate.synthetic.dataset | Validate a canonical synthetic dataset |