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WeMix
View on CRAN: Click
here
Download and install WeMix package within the R console
Install from CRAN:
install.packages("WeMix")
Install from Github:
library("remotes")
install_github("cran/WeMix")
Install by package version:
library("remotes")
install_version("WeMix", "4.0.3")
Attach the package and use:
library("WeMix")
Maintained by
Paul Bailey
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.WeMix . https://github.com/American-Institutes-for-Research/WeMix/issues . https://american-institutes-for-research.github.io/WeMix/ . WeMix results . WeMix.pdf . Introduction to Weighted Mixed-Effects Models With WeMix . WeMix_4.0.3.tar.gz . WeMix_4.0.3.zip . WeMix_4.0.3.zip . WeMix_4.0.3.zip . WeMix_4.0.3.tgz . WeMix_4.0.3.tgz . WeMix_4.0.3.tgz . WeMix_4.0.3.tgz . WeMix_4.0.3.tgz . WeMix_4.0.3.tgz . WeMix archive . https://CRAN.R-project.org/package=WeMix .
First Published: 2018-04-10
Latest Update: 2023-03-21
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. Both linear and logit models are supported. Models may have up to three levels. Random effects are estimated using the PIRLS algorithm from 'lme4pureR' (Walker and Bates (2013) <https://github.com/lme4/lme4pureR>).
How to cite:
Paul Bailey (2018). WeMix: Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation. R package version 4.0.3, https://cran.r-project.org/web/packages/WeMix. Accessed 20 Feb. 2025.
Previous versions and publish date:
1.0.2 (2018-04-10 11:56), 2.0.0 (2018-08-14 19:20), 2.1.0 (2018-09-24 17:00), 2.2.0 (2019-03-13 09:18), 2.2.1 (2019-03-14 22:44), 3.0.0 (2019-03-30 19:30), 3.1.1 (2019-06-27 10:10), 3.1.3 (2020-01-09 00:02), 3.1.4 (2020-05-21 07:10), 3.1.5 (2020-09-09 07:40), 3.1.6 (2020-12-08 08:20), 3.1.7 (2021-05-11 19:02), 3.1.8 (2021-06-06 06:40), 3.1.9 (2021-10-20 07:20), 3.2.0 (2021-11-16 18:20), 3.2.1 (2021-12-07 06:50), 3.2.2 (2022-09-23 18:40), 3.2.4 (2022-10-05 15:00), 3.3.0 (2022-12-21 18:50), 4.0.0 (2023-03-21 10:00)
Other packages that cited WeMix R package
View WeMix citation profile
Other R packages that WeMix depends,
imports, suggests or enhances
Complete documentation for WeMix
Functions, R codes and Examples using
the WeMix R package
Some associated functions: WeMix-package . mix . waldTest .
Some associated R codes: adaptiveQuad.R . analyticSolve.R . covarianceConstructors.R . drv.R . helpers.R . lnl.R . weMix-package.R . zzz.R . Full WeMix package functions and examples
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