Package: rpql 0.8.1

Francis 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 <[email protected]>, with contributions from Samuel Mueller <[email protected]> and A.H. Welsh <[email protected]>

rpql_0.8.1.tar.gz
rpql_0.8.1.tar.gz(r-4.5-noble)rpql_0.8.1.tar.gz(r-4.4-noble)
rpql_0.8.1.tgz(r-4.4-emscripten)rpql_0.8.1.tgz(r-4.3-emscripten)
rpql.pdf |rpql.html
rpql/json (API)
NEWS

# 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

1.00 score 212 downloads 9 exports 16 dependencies

Last updated 2 years agofrom:9f80f65385. Checks:1 OK, 2 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 12 2025
R-4.5-linux-x86_64NOTEMar 12 2025
R-4.4-linux-x86_64NOTEMar 12 2025

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

Dependencies:bootgamlss.distlatticelme4MASSMatrixminqamvtnormnlmenloptrrbibutilsRcppRcppArmadilloRcppEigenRdpackreformulas