Package: mzimp 0.1.0

Quang Huy Nguyen

mzimp: Zero-Inflated Mixed Poisson Regression for Multivariate Count Data

Fits and selects zero-inflated mixed Poisson models for multivariate count regression. Supports multiple mixing distributions and variance specifications for flexible marginal modeling, while allowing dependence in the structural-zero components and latent mixing intensities to be modeled separately through copulas. The methodology is described in Nguyen (2026) <doi:10.48550/arXiv.2608.12732>.

Authors:Quang Huy Nguyen [aut, cre, cph]

mzimp_0.1.0.tar.gz
mzimp_0.1.0.zip(r-4.7-x86_64)mzimp_0.1.0.zip(r-4.7-arm64)mzimp_0.1.0.zip(r-4.6-x86_64)mzimp_0.1.0.zip(r-4.6-arm64)
mzimp_0.1.0.tar.gz(r-4.7-arm64)mzimp_0.1.0.tar.gz(r-4.7-x86_64)mzimp_0.1.0.tar.gz(r-4.6-arm64)mzimp_0.1.0.tar.gz(r-4.6-x86_64)
mzimp_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mzimp/json (API)

# Install 'mzimp' in R:
install.packages('mzimp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

1.00 score 6 exports 27 dependencies

Last updated from:759569c5cf. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK153
linux-devel-x86_64OK217
source / vignettesOK291
linux-release-arm64OK156
linux-release-x86_64OK152
windows-devel-arm64OK276
windows-devel-x86_64OK269
windows-release-arm64OK272
windows-release-x86_64OK190
wasm-releaseOK142

Exports:fit_bizimpfit_multizimpfit_zimpselect_bizimpselect_multi_marginselect_zimp

Dependencies:ADGofTestcallrclicodetoolsdescfsgluelatticelifecycleMASSmvtnormnumDerivotelpbivnormpkgbuildpkgloadprocessxpsR6randtoolboxRcppRcppArmadillorlangrngWELLrprojrootstatmodVineCopula