Package index • VCMoE

Fit and inspect models

vcmoe_fit(): Fit a varying-coefficient mixture-of-experts model
coef(<vcmoe>): Extract VCMoE coefficients
predict(<vcmoe>): Predict from a VCMoE fit
vcmoe_diagnostics(): Summarize VCMoE fit diagnostics
vcmoe_parameterization(): Inspect VCMoE Parameterization Metadata
vcmoe_gating_contrasts(): Report Identifiable VCMoE Gating Contrasts
vcmoe_scaled_slopes(): Inspect VCMoE Local-Linear Slopes On The Scaled Basis

Simulation

simulate_vcmoe_gaussian(): Simulate Gaussian VCMoE data
simulate_vcmoe_binomial(): Simulate Binomial VCMoE data
simulate_vcmoe_negbin(): Simulate Negative-Binomial VCMoE count data

Tuning and inference

vcmoe_select_bandwidth(): Select a VCMoE bandwidth by K-fold cross-validation
vcmoe_bootstrap(): Parametric bootstrap inference for a VCMoE fit
confint(<vcmoe_bootstrap>): Bootstrap confidence intervals for VCMoE coefficients
plot_inference(): Plot bootstrap inference intervals
vcmoe_confband(): Analytic-style confidence bands for a VCMoE fit
vcmoe_glrt(): Coefficient-specific GLRT for VCMoE coefficient variation

Plots

plot_coefficients(): Plot fitted coefficient functions
plot_posterior(): Plot fitted posterior summaries
plot_diagnostics(): Plot VCMoE fit diagnostics