Package: VCMoE 0.2.0

VCMoE: Varying-Coefficient Mixture-of-Experts Models

Fits Gaussian, Binomial, and Negative-Binomial varying-coefficient mixture-of-experts models with local-linear estimation, explicit label alignment, bandwidth selection, diagnostics, bootstrap inference, analytic-style confidence bands, coefficient-specific analytic generalized likelihood-ratio test (GLRT) diagnostics with optional bootstrap calibration, and local-grid or joint-path expectation-maximization fitting engines.

Authors:Qicheng Zhao [aut, cre], Celia M.T. Greenwood [aut], Qihuang Zhang [aut]

VCMoE_0.2.0.tar.gz
VCMoE_0.2.0.zip(r-4.7-any)VCMoE_0.2.0.zip(r-4.6-any)VCMoE_0.2.0.zip(r-4.5-any)
VCMoE_0.2.0.tgz(r-4.6-any)VCMoE_0.2.0.tgz(r-4.5-any)
VCMoE_0.2.0.tar.gz(r-4.7-any)VCMoE_0.2.0.tar.gz(r-4.6-any)
VCMoE_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
VCMoE/json (API)

# Install 'VCMoE' in R:
install.packages('VCMoE', repos = c('https://qc-zhao.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/qc-zhao/vcmoe/issues

Pkgdown/docs site:https://qc-zhao.github.io

On CRAN:

Conda:

4.78 score 180 downloads 17 exports 17 dependencies

Last updated from:da75598454. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK171
source / vignettesOK175
linux-releaseOK202
macos-releaseOK188
macos-oldrelOK253
windows-develOK152
windows-releaseOK115
windows-oldrelOK142
wasm-releaseOK111

Exports:plot_coefficientsplot_diagnosticsplot_inferenceplot_posteriorsimulate_vcmoe_binomialsimulate_vcmoe_gaussiansimulate_vcmoe_negbinvcmoe_bootstrapvcmoe_confbandvcmoe_diagnosticsvcmoe_fitvcmoe_fit_reducedvcmoe_gating_contrastsvcmoe_glrtvcmoe_parameterizationvcmoe_scaled_slopesvcmoe_select_bandwidth

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr

Joint-Path EM
Fit a joint-path model | Guardrails | Inference and bandwidth selection
Rendered fromvcmoe-joint-path.Rmdusingknitr::rmarkdown

Last update: 2026-07-15
Started: 2026-07-15

Binomial VCMoE Tutorial
Simulate grouped Binomial data | Coefficients and predictions | Diagnostics and plots | Bernoulli response format
Rendered fromvcmoe-binomial.Rmdusingknitr::rmarkdown

Last update: 2026-06-15
Started: 2026-06-15

Gaussian VCMoE Tutorial
Installation from GitHub | Gaussian model | Diagnostics and basic plots | Analytic simultaneous confidence bands | Bootstrap inference | Optional bandwidth selection
Rendered fromvcmoe-gaussian-no-offset.Rmdusingknitr::rmarkdown

Last update: 2026-06-15
Started: 2026-06-12

Negative-Binomial VCMoE Tutorial
Simulate count data | Fit the model | Coefficients, dispersion, and predictions | Diagnostics and plots
Rendered fromvcmoe-negbin.Rmdusingknitr::rmarkdown

Last update: 2026-06-15
Started: 2026-06-15