WeMix

Weighted Mixed-Effects Models, using Multilevel Pseudo Maximum Likelihood Estimation

Run mixed-effects models that include weights at every level. The WeMix package fits a Weighted Mixed model, also known as a multilevel, mixed, or hierarchical linear model (HLM). The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in R, WeMix is unique in implementing methods for mixed models using weights at multiple levels. The model is fit using adaptive quadrature.

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Description file content

Package
WeMix
Version
2.2.1
Date
2019-03-14
Title
Weighted Mixed-Effects Models, using Multilevel Pseudo Maximum Likelihood Estimation
Author
Paul Bailey, Claire Kelley, Trang Nguyen, Huade Huo.
Maintainer
Claire Kelley
Depends
lme4, R (>= 3.3.0)
Imports
numDeriv, statmod, Rmpfr, NPflow, Rcpp
Suggests
testthat, knitr, rmarkdown, EdSurvey
Description
Run mixed-effects models that include weights at every level. The WeMix package fits a Weighted Mixed model, also known as a multilevel, mixed, or hierarchical linear model (HLM). The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in R, WeMix is unique in implementing methods for mixed models using weights at multiple levels. The model is fit using adaptive quadrature.
LinkingTo
Rcpp, RcppArmadillo
License
GPL-2
VignetteBuilder
knitr
LazyData
true
ByteCompile
true
Note
This publication was prepared for NCES under Contract No. ED-IES-12-D-0002 with American Institutes for Research. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. government.
RoxygenNote
6.1.1
Encoding
UTF-8
NeedsCompilation
yes
Packaged
2019-03-14 14:57:20 UTC; ckelley
Repository
CRAN
Date/Publication
2019-03-14 21:44:19 UTC

install.packages('WeMix')

2.2.1

8 days ago

Claire Kelley

GPL-2

Depends on

lme4, R (>= 3.3.0)

Imports

numDeriv, statmod, Rmpfr, NPflow, Rcpp

Suggests

testthat, knitr, rmarkdown, EdSurvey

Discussions