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.

Version:	0.2.0
Imports:	ggplot2, stats, utils
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-07-15
DOI:	10.32614/CRAN.package.VCMoE
Author:	Qicheng Zhao [aut, cre], Celia M.T. Greenwood [aut], Qihuang Zhang [aut]
Maintainer:	Qicheng Zhao <790471666 at qq.com>
BugReports:	https://github.com/qc-zhao/VCMoE/issues
License:	MIT + file LICENSE
URL:	https://qc-zhao.github.io/VCMoE/, https://github.com/qc-zhao/VCMoE
NeedsCompilation:	no
Citation:	VCMoE citation info
Materials:	README, NEWS
CRAN checks:	VCMoE results

Documentation:

Reference manual:	VCMoE.html , VCMoE.pdf
Vignettes:	Binomial VCMoE Tutorial (source, R code) Gaussian VCMoE Tutorial (source, R code) Joint-Path EM (source, R code) Negative-Binomial VCMoE Tutorial (source, R code)

Downloads:

Package source:	VCMoE_0.2.0.tar.gz
Windows binaries:	r-devel: VCMoE_0.2.0.zip, r-release: VCMoE_0.2.0.zip, r-oldrel: VCMoE_0.2.0.zip
macOS binaries:	r-release (arm64): VCMoE_0.2.0.tgz, r-oldrel (arm64): VCMoE_0.2.0.tgz, r-release (x86_64): VCMoE_0.2.0.tgz, r-oldrel (x86_64): VCMoE_0.2.0.tgz
Old sources:	VCMoE archive

Linking:

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