pwlmm: PWIGLS for Two-Level Multivariate and Multilevel Linear Models

Estimates two-level multilevel linear model and two-level multivariate linear multilevel model with weights following Probability Weighted Iterative Generalised Least Squares approach. For details see Veiga et al.(2014) <doi:10.1111/rssc.12020>.

Version: 1.1.2
Depends: R (≥ 3.5.0)
Imports: lme4, Matrix, Rcpp
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, car, Hmisc, ggplot2, dplyr, testthat (≥ 3.0.0)
Published: 2026-01-21
DOI: 10.32614/CRAN.package.pwlmm
Author: Alinne Veiga ORCID iD [aut, cre], João Messa [aut, trl, com]
Maintainer: Alinne Veiga <alinne.veiga at ibge.gov.br>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: pwlmm results

Documentation:

Reference manual: pwlmm.html , pwlmm.pdf
Vignettes: pwlmm (source, R code)

Downloads:

Package source: pwlmm_1.1.2.tar.gz
Windows binaries: r-devel: pwlmm_1.1.1.zip, r-release: pwlmm_1.1.1.zip, r-oldrel: pwlmm_1.1.1.zip
macOS binaries: r-release (arm64): pwlmm_1.1.2.tgz, r-oldrel (arm64): pwlmm_1.1.2.tgz, r-release (x86_64): pwlmm_1.1.2.tgz, r-oldrel (x86_64): pwlmm_1.1.2.tgz
Old sources: pwlmm archive

Linking:

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