Geometric Methods for Nonparametric Regression and Density Estimation

Documentation for package ‘geosmooth’ version 0.2.0

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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
assess.gaussian.trend.filtering	Test Constancy and Assess Gaussian Trend-Filtering Prediction
assess.logistic.trend.filtering	Test Constancy and Assess Logistic Trend-Filtering Prediction

-- B --

bootstrap.malps

Bootstrap Uncertainty For A Fixed-Selection MALPS Fit

-- C --

compare.masked.graph.fields	Compare Masked Graph Fields with Independent Graph Workers
compare.synthetic.dataset	Compare two synthetic datasets scientifically
cv.masked.graph.field	Participant-Grouped Nested Cross-Validation for a Masked Graph Field

-- F --

fit.chart.kernel	Fit a Chart-Kernel Smoother
fit.density	Fit a Density Estimator
fit.gaussian.trend.filtering	Fit Order-2 Gaussian Trend Filtering
fit.graph.trend.filtering	Fit Graph Trend Filtering
fit.local.likelihood	Fit a Local-Likelihood Density or Bernoulli Smoother
fit.logistic.trend.filtering	Fit Order-2 Logistic Trend Filtering
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.masked.graph.field	Fit a Graph Field from Partially Observed Responses
fit.metric.graph.lowpass	Fit Metric-Conductance Graph Low-Pass Regression
fit.neighbor.probability	Nearest-Person and Nearest-Case Binary Probability Estimators
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	Fit SSRHE-Style Hessian-Energy Regression
fit.ssrhe.hessian.regression.gcv	Fit SSRHE-Style Hessian-Energy Regression
fit.subject.od	Fit Subject-Occupation Density
fitted.chart_kernel	Extract Stored Fitted Values and Response Residuals
fitted.gaussian.trend.filtering.fit	Predict from Gaussian Trend Filtering
fitted.graph.trend.filtering.fit	Extract Stored Fitted Values and Response Residuals
fitted.harmonic_smoother	Extract Stored Fitted Values and Response Residuals
fitted.local_likelihood	Extract Stored Fitted Values and Response Residuals
fitted.logistic.trend.filtering.fit	Predict from Logistic Trend Filtering
fitted.lpl_tf	Extract Stored Fitted Values and Response Residuals
fitted.lps	Extract Stored Fitted Values and Response Residuals
fitted.malps	Extract Stored Fitted Values and Response Residuals
fitted.metric.graph.lowpass.fit	Extract Stored Fitted Values and Response Residuals
fitted.metric.graph.lowpass.refit	Extract Stored Fitted Values and Response Residuals
fitted.ps_lps	Extract Stored Fitted Values and Response Residuals
fitted.pttf.trend.filtering.fit	Extract Stored Fitted Values and Response Residuals
fitted.slpl_tf	Extract Stored Fitted Values and Response Residuals
fitted.ssrhe.hessian.fit	Extract Stored Fitted Values and Response Residuals
fitted.ssrhe.hessian.l1.fit	Extract Stored Fitted Values and Response Residuals
fitted.ssrhe.hessian.refit	Extract Stored Fitted Values and Response Residuals

-- 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
model-summary	Summarize a Geometric Smoother or Probability-Mass Fit
model-values	Extract Stored Fitted Values and Response Residuals

-- 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.gaussian.trend.filtering.fit	Predict from Gaussian Trend Filtering
predict.logistic.trend.filtering.fit	Predict from Logistic Trend Filtering
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.neighbor.probability.fit	Predict Nearest-Person Binary Probabilities
predict.slpl_tf	Predict From A Fixed-Operator Synchronized LPL-TF Model
print.chart_kernel	Summarize a Geometric Smoother or Probability-Mass Fit
print.density_fit	Summarize a Geometric Smoother or Probability-Mass Fit
print.gaussian.trend.filtering.assessment	Test Constancy and Assess Gaussian Trend-Filtering Prediction
print.gaussian.trend.filtering.fit	Predict from Gaussian Trend Filtering
print.graph.trend.filtering.fit	Print Geosmooth S3 Objects
print.harmonic_smoother	Print Method for Harmonic Smoother Results
print.local_likelihood	Summarize a Geometric Smoother or Probability-Mass Fit
print.logistic.trend.filtering.assessment	Test Constancy and Assess Logistic Trend-Filtering Prediction
print.logistic.trend.filtering.fit	Predict from Logistic Trend Filtering
print.lpl_tf	Summarize a Geometric Smoother or Probability-Mass Fit
print.lpl_tf_operator	Print Geosmooth S3 Objects
print.lps	Print Geosmooth S3 Objects
print.malps	Print Geosmooth S3 Objects
print.malps_bootstrap	Print Geosmooth S3 Objects
print.metric.graph.lowpass.fit	Print Geosmooth S3 Objects
print.metric.graph.lowpass.refit	Print Geosmooth S3 Objects
print.ps_lps	Summarize a Geometric Smoother or Probability-Mass Fit
print.pttf.trend.filtering.fit	Print Geosmooth S3 Objects
print.pttf_operator	Print Geosmooth S3 Objects
print.slpl_tf	Summarize a Geometric Smoother or Probability-Mass Fit
print.slpl_tf_operator	Print Geosmooth S3 Objects
print.ssrhe.hessian.cv.fit	Print Geosmooth S3 Objects
print.ssrhe.hessian.fit	Print Geosmooth S3 Objects
print.ssrhe.hessian.gcv.fit	Print Geosmooth S3 Objects
print.ssrhe.hessian.l1.fit	Print Geosmooth S3 Objects
print.ssrhe.hessian.operator	Print Geosmooth S3 Objects
print.ssrhe.hessian.refit	Print Geosmooth S3 Objects
print.summary.geosmooth_fit	Summarize a Geometric Smoother or Probability-Mass Fit
print.summary.harmonic_smoother	Print Method for Summary of Harmonic Smoother Results
print.synthetic_dataset	Print a canonical synthetic dataset
print.transported.graph.hessian.operator	Print Geosmooth S3 Objects
pttf.geometry	Construct PTTF Local Geometry
pttf.operator	Construct PTTF Transported-Difference Operators
pttf.operator.filter.rows	Filter Rows Of A PTTF Operator

-- R --

refit	Refit A Model Using Its Stored Geometry
refit.default	Refit A Model Using Its Stored Geometry
refit.lpl.tf	Refit A Local Polynomial Lifting Trend Filter
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.metric.graph.lowpass.fit	Refit Metric-Conductance Graph Low-Pass Regression
refit.slpl.tf	Refit A Fixed-Operator Synchronized LPL-TF Model
refit.slpl_tf	Refit A Fixed-Operator Synchronized LPL-TF Model
refit.ssrhe.hessian.fit	Refit SSRHE-Style Hessian-Energy Regression
refit.ssrhe.hessian.l1.fit	Refit SSRHE-Style Hessian L1 Regression
refit.ssrhe.hessian.l1.regression	Refit SSRHE-Style Hessian L1 Regression
refit.ssrhe.hessian.regression	Refit SSRHE-Style Hessian-Energy Regression
residuals.chart_kernel	Extract Stored Fitted Values and Response Residuals
residuals.gaussian.trend.filtering.fit	Predict from Gaussian Trend Filtering
residuals.graph.trend.filtering.fit	Extract Stored Fitted Values and Response Residuals
residuals.local_likelihood	Extract Stored Fitted Values and Response Residuals
residuals.logistic.trend.filtering.fit	Predict from Logistic Trend Filtering
residuals.lpl_tf	Extract Stored Fitted Values and Response Residuals
residuals.lps	Extract Stored Fitted Values and Response Residuals
residuals.malps	Extract Stored Fitted Values and Response Residuals
residuals.metric.graph.lowpass.fit	Extract Stored Fitted Values and Response Residuals
residuals.metric.graph.lowpass.refit	Extract Stored Fitted Values and Response Residuals
residuals.ps_lps	Extract Stored Fitted Values and Response Residuals
residuals.pttf.trend.filtering.fit	Extract Stored Fitted Values and Response Residuals
residuals.slpl_tf	Extract Stored Fitted Values and Response Residuals
residuals.ssrhe.hessian.fit	Extract Stored Fitted Values and Response Residuals
residuals.ssrhe.hessian.l1.fit	Extract Stored Fitted Values and Response Residuals
residuals.ssrhe.hessian.refit	Extract Stored Fitted Values and Response Residuals

-- S --

select.masked.graph.field	Evaluate Nested Selection Among Candidate Graphs
slpl.tf.operator	Construct A Synchronized LPL-TF Fixed Operator
smoother.matrix	Extract A Conditional Smoother Matrix
smoother.matrix.default	Extract A Conditional Smoother Matrix
smoother.matrix.lps	Extract the Linear-Smoother Matrix of a Fixed-Configuration LPS Fit
smoother.matrix.malps	Construct The Conditional MALPS Smoother Matrix
ssrhe.hessian.operator	Construct an SSRHE-Style Local Hessian Energy Operator
ssrhe.support.grid	Build Candidate Support Profiles for SSRHE Adaptive-Radius Tuning
summary.chart_kernel	Summarize a Geometric Smoother or Probability-Mass Fit
summary.density_fit	Summarize a Geometric Smoother or Probability-Mass Fit
summary.graph.trend.filtering.fit	Summarize a Geometric Smoother or Probability-Mass Fit
summary.harmonic_smoother	Summary Method for Harmonic Smoother Results
summary.local_likelihood	Summarize a Geometric Smoother or Probability-Mass Fit
summary.lpl_tf	Summarize a Geometric Smoother or Probability-Mass Fit
summary.lps	Summarize a Geometric Smoother or Probability-Mass Fit
summary.malps	Summarize a Geometric Smoother or Probability-Mass Fit
summary.metric.graph.lowpass.fit	Summarize a Geometric Smoother or Probability-Mass Fit
summary.metric.graph.lowpass.refit	Summarize a Geometric Smoother or Probability-Mass Fit
summary.ps_lps	Summarize a Geometric Smoother or Probability-Mass Fit
summary.pttf.trend.filtering.fit	Summarize a Geometric Smoother or Probability-Mass Fit
summary.slpl_tf	Summarize a Geometric Smoother or Probability-Mass Fit
summary.ssrhe.hessian.fit	Summarize a Geometric Smoother or Probability-Mass Fit
summary.ssrhe.hessian.l1.fit	Summarize a Geometric Smoother or Probability-Mass Fit
summary.ssrhe.hessian.refit	Summarize a Geometric Smoother or Probability-Mass Fit
support.masked.graph.field	Summarize Measurement Support for a Graph Field
synthetic.dataset.checksum	Compute the canonical content checksum of a synthetic dataset
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.stratified	Legacy G4 stratified sampling specification
synthetic.spec	Assemble a synthetic-data specification
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

-- U --

unfold.simplex.chart

Unfold a Local Neighborhood of the L-infinity Simplex

-- V --

validate.synthetic.dataset

Validate a canonical synthetic dataset