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galamm  

Generalized Additive Latent and Mixed Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("galamm", "0.2.0")



Attach the package and use:
library("galamm")
Maintained by
Øystein Sørensen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-09
Latest Update: 2023-10-13
Description:
Estimates generalized additive latent and mixed models using maximum marginal likelihood, as defined in Sorensen et al. (2023) , which is an extension of Rabe-Hesketh and Skrondal (2004)'s unifying framework for multilevel latent variable modeling . Efficient computation is done using sparse matrix methods, Laplace approximation, and automatic differentiation. The framework includes generalized multilevel models with heteroscedastic residuals, mixed response types, factor loadings, smoothing splines, crossed random effects, and combinations thereof. Syntax for model formulation is close to 'lme4' (Bates et al. (2015) ) and 'PLmixed' (Rockwood and Jeon (2019) ).
How to cite:
Øystein Sørensen (2023). galamm: Generalized Additive Latent and Mixed Models. R package version 0.2.0, https://cran.r-project.org/web/packages/galamm
Previous versions and publish date:
0.1.0 (2023-10-09 15:40), 0.1.1 (2023-10-13 23:10)
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