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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: 1.1.1
Depends: R (≥ 3.5.0)
Imports: lme4, Matrix, Rcpp, RcppEigen
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown
Published: 2022-06-13
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.pdf
Vignettes: pwlmm

Downloads:

Package source: pwlmm_1.1.1.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_1.1.1.tgz, r-oldrel (arm64): pwlmm_1.1.1.tgz, r-release (x86_64): pwlmm_1.1.1.tgz, r-oldrel (x86_64): pwlmm_1.1.1.tgz
Old sources: pwlmm archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pwlmm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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