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PLmixed  

Estimate (Generalized) Linear Mixed Models with Factor Structures
View on CRAN: Click here


Download and install PLmixed package within the R console
Install from CRAN:
install.packages("PLmixed")

Install from Github:
library("remotes")
install_github("cran/PLmixed")

Install by package version:
library("remotes")
install_version("PLmixed", "0.1.7")



Attach the package and use:
library("PLmixed")
Maintained by
Nicholas Rockwood
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-18
Latest Update: 2023-08-23
Description:
Utilizes the 'lme4' and 'optimx' packages (previously the optim() function from 'stats') to estimate (generalized) linear mixed models (GLMM) with factor structures using a profile likelihood approach, as outlined in Jeon and Rabe-Hesketh (2012) and Rockwood and Jeon (2019) . Factor analysis and item response models can be extended to allow for an arbitrary number of nested and crossed random effects, making it useful for multilevel and cross-classified models.
How to cite:
Nicholas Rockwood (2017). PLmixed: Estimate (Generalized) Linear Mixed Models with Factor Structures. R package version 0.1.7, https://cran.r-project.org/web/packages/PLmixed
Previous versions and publish date:
0.1.0 (2017-07-18 23:49), 0.1.1 (2017-08-31 21:30), 0.1.2 (2017-10-14 00:40), 0.1.3 (2018-05-02 22:55), 0.1.4 (2019-08-19 20:00), 0.1.5 (2020-12-14 06:20), 0.1.6 (2022-06-22 09:40)
Other packages that cited PLmixed R package
View PLmixed citation profile
Other R packages that PLmixed depends, imports, suggests or enhances
Functions, R codes and Examples using the PLmixed R package
Some associated functions: IRTsim . JUDGEsim . KYPSitemsim . KYPSsim . PLmixed-package . PLmixed . coef.PLmod . fitted.PLmod . fixef.PLmod . iterPlot . plot.PLmod . predict.PLmod . print.PLmod . print.summary.PLmod . ranef.PLmod . residuals.PLmod . simulate.PLmod . summary.PLmod . 
Some associated R codes: PLmixed_add_functions.R . PLmixed_main_function.R .  Full PLmixed package functions and examples
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