Package: rpql 0.8.3

Francis K.C. Hui

rpql: Regularized PQL for Joint Selection in GLMMs

Performs joint selection in Generalized Linear Mixed Models (GLMMs) using penalized likelihood methods. Specifically, the Penalized Quasi-Likelihood (PQL) is used as a loss function, and penalties are then augmented to perform simultaneous fixed and random effects selection. Regularized PQL avoids the need for integration (or approximations such as the Laplace's method) during the estimation process, and so the full solution path for model selection can be constructed relatively quickly.

Authors:Francis K.C. Hui [aut, cre]

rpql_0.8.3.tar.gz
rpql_0.8.3.tar.gz(r-4.7-arm64)rpql_0.8.3.tar.gz(r-4.7-x86_64)rpql_0.8.3.tar.gz(r-4.6-arm64)rpql_0.8.3.tar.gz(r-4.6-x86_64)
rpql_0.8.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rpql/json (API)

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

On CRAN:

Conda:

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

openblascpp

1.56 score 18 scripts 228 downloads 9 exports 17 dependencies

Last updated from:c3ee81f749. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK150
linux-devel-x86_64OK137
source / vignettesOK193
linux-release-arm64OK130
linux-release-x86_64OK134
wasm-releaseOK121

Exports:build.start.fitcalc.marglogLgendat.glmmlseqnb2rpqlrpql.defaultrpqlseqsummary.rpql

Dependencies:bootgamlss.distlatticelme4MASSMatrixminqamvtnormnlmenloptrrbibutilsRcppRcppArmadilloRcppEigenRdpackreformulasrlang