Package: fastglmm 0.1.0

Paweł Lenartowicz

fastglmm: Fast (Generalized) Linear Mixed Models via the 'glmm' Rust Kernel

Fits linear models, generalized linear models, and (generalized) linear mixed models with a compiled Rust backend (the 'glmm' crate): REML linear mixed models, and Laplace or adaptive Gauss-Hermite quadrature for binomial and Poisson mixed models, using 'lme4'-style formulas. Estimates are validated against 'lme4' and 'MixedModels.jl'. Deliberately scoped to fast fitting - fixed effects, Wald standard errors, and variance components; anything the backend cannot compute honestly (random-effect predictions, likelihood-based criteria, profiling) is a documented error, never a silently different answer.

Authors:Paweł Lenartowicz [aut, cre]

fastglmm_0.1.0.tar.gz
fastglmm_0.1.0.zip(r-4.7)fastglmm_0.1.0.zip(r-4.6)fastglmm_0.1.0.zip(r-4.5)
fastglmm_0.1.0.tgz(r-4.6-x86_64)fastglmm_0.1.0.tgz(r-4.6-arm64)fastglmm_0.1.0.tgz(r-4.5-x86_64)fastglmm_0.1.0.tgz(r-4.5-arm64)
fastglmm_0.1.0.tar.gz(r-4.7-arm64)fastglmm_0.1.0.tar.gz(r-4.7-x86_64)fastglmm_0.1.0.tar.gz(r-4.6-arm64)fastglmm_0.1.0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
fastglmm/json (API)

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

Bug tracker:https://github.com/pawlenartowicz/glmm/issues

On CRAN:

Conda:

rustcargo

1.70 score 2 scripts 5 exports 0 dependencies

Last updated from:885cc19766 (on r-universe). Checks:12 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK337
linux-devel-x86_64OK365
source / vignettesOK291
linux-release-arm64OK311
linux-release-x86_64OK361
macos-release-arm64OK285
macos-release-x86_64OK513
macos-oldrel-arm64OK316
macos-oldrel-x86_64OK640
windows-develOK475
windows-releaseOK485
windows-oldrelOK487
wasm-releaseFAIL239

Exports:fastglmmfixefisSingularranefVarCorr

Dependencies: