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

Package: pwlmm 1.1.2

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_1.1.2.tar.gz
pwlmm_1.1.2.tar.gz(r-4.7-arm64)pwlmm_1.1.2.tar.gz(r-4.7-x86_64)pwlmm_1.1.2.tar.gz(r-4.6-arm64)pwlmm_1.1.2.tar.gz(r-4.6-x86_64)
pwlmm_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pwlmm/json (API)

# Install 'pwlmm' in R:

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

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

datamultv - Datamultv data
dataw1 - Dataw1 data

On CRAN:

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

cpp

2.00 score 6 scripts 238 downloads 2 exports 14 dependencies

Last updated from:49083ed08f. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	156
linux-devel-x86_64	OK	155
source / vignettes	OK	239
linux-release-arm64	OK	149
linux-release-x86_64	OK	156
wasm-release	OK	135

Exports:pwigls2 wmlmm

Dependencies:boot lattice lme4 MASS Matrix minqa nlme nloptr rbibutils Rcpp RcppEigen Rdpack reformulas rlang

pwlmm

Rendered frompwlmm.Rmdusingknitr::rmarkdown

Help page	Topics
datamultv data	datamultv
dataw1 data	dataw1
Fit Weighted Linear Multilevel Model	pwigls2
Fit Weighted Multivariate Linear Multilevel Model to Longitudinal Data.	wmlmm

Help page

Topics

datamultv data

datamultv

dataw1 data

dataw1

Fit Weighted Linear Multilevel Model

pwigls2

Fit Weighted Multivariate Linear Multilevel Model to Longitudinal Data.

wmlmm