Other packages > Find by keyword >

WeMix  

Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation
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]
All associated links for this package
First Published: 2018-04-10
Latest Update: 2023-11-03
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 04 Jun. 2026.
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA