R: Varying-Coefficient Mixture-of-Experts Models

# Varying-Coefficient Mixture-of-Experts Models

## Documentation for package ‘VCMoE’ version 0.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

coef.vcmoe | Extract VCMoE coefficients
confint.vcmoe_bootstrap | Bootstrap confidence intervals for VCMoE coefficients
plot_coefficients | Plot fitted coefficient functions
plot_diagnostics | Plot VCMoE fit diagnostics
plot_inference | Plot bootstrap inference intervals
plot_posterior | Plot fitted posterior summaries
predict.vcmoe | Predict from a VCMoE fit
simulate_vcmoe_binomial | Simulate Binomial VCMoE data
simulate_vcmoe_gaussian | Simulate Gaussian VCMoE data
simulate_vcmoe_negbin | Simulate Negative-Binomial VCMoE count data
vcmoe_bootstrap | Parametric bootstrap inference for a VCMoE fit
vcmoe_confband | Analytic-style confidence bands for a VCMoE fit
vcmoe_diagnostics | Summarize VCMoE fit diagnostics
vcmoe_fit | Fit a varying-coefficient mixture-of-experts model
vcmoe_fit_reduced | Fit a block-constant reduced VCMoE model
vcmoe_gating_contrasts | Report Identifiable VCMoE Gating Contrasts
vcmoe_glrt | Generalized likelihood-ratio test for VCMoE coefficient variation
vcmoe_parameterization | Inspect VCMoE Parameterization Metadata
vcmoe_scaled_slopes | Inspect VCMoE Local-Linear Slopes On The Scaled Basis
vcmoe_select_bandwidth | Select a VCMoE bandwidth by K-fold cross-validation