Package: pwlmm 1.1.1

Alinne Veiga

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>.

Authors:Alinne Veiga [aut, cre], João Messa [aut, trl, com]

pwlmm_1.1.1.tar.gz
pwlmm_1.1.1.tar.gz(r-4.5-noble)pwlmm_1.1.1.tar.gz(r-4.4-noble)
pwlmm_1.1.1.tgz(r-4.4-emscripten)pwlmm_1.1.1.tgz(r-4.3-emscripten)
pwlmm.pdf |pwlmm.html✨
pwlmm/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

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

cpp

2.00 score 4 scripts 126 downloads 2 exports 10 dependencies

Last updated 3 years agofrom:bc3f759e01. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 27 2024
R-4.5-linux-x86_64NOTENov 27 2024

Exports:pwigls2wmlmm

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrRcppRcppEigen

pwlmm

Rendered frompwlmm.Rmdusingknitr::rmarkdownon Nov 27 2024.

Last update: 2022-06-13
Started: 2022-05-10