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, and coefficient-specific analytic GLRT diagnostics with optional bootstrap calibration.

Version: 0.1.0
Imports: ggplot2, stats, utils
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-06-19
DOI: 10.32614/CRAN.package.VCMoE (may not be active yet)
Author: Qicheng Zhao [aut, cre]
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
CRAN checks: VCMoE results

Documentation:

Reference manual: VCMoE.html , VCMoE.pdf
Vignettes: Gaussian VCMoE Simulation Tutorial (source, R code)

Downloads:

Package source: VCMoE_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): VCMoE_0.1.0.tgz, r-oldrel (arm64): VCMoE_0.1.0.tgz, r-release (x86_64): VCMoE_0.1.0.tgz, r-oldrel (x86_64): VCMoE_0.1.0.tgz

Linking:

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