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galamm
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", "0.2.1")
Attach the package and use:
library("galamm")
Maintained by
Øystein Sørensen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.galamm . https://github.com/LCBC-UiO/galamm/issues . https://github.com/LCBC-UiO/galamm . https://lcbc-uio.github.io/galamm/ . galamm citation info . galamm results . galamm.pdf . galamm_0.2.1.tar.gz . galamm_0.2.1.zip . galamm_0.2.1.zip . galamm_0.2.1.zip . galamm_0.2.1.tgz . galamm_0.2.1.tgz . galamm_0.2.1.tgz . galamm_0.2.1.tgz . galamm archive . https://CRAN.R-project.org/package=galamm .
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 0.2.1, https://cran.r-project.org/web/packages/galamm. Accessed 09 May. 2025.
Previous versions and publish date:
Other packages that cited galamm R package
View galamm citation profile
Other R packages that galamm depends,
imports, suggests or enhances
Complete documentation for galamm
Functions, R codes and Examples using
the galamm R package
Some associated functions: VarCorr . anova.galamm . coef.galamm . cognition . confint.galamm . deviance.galamm . diet . epilep . extract_optim_parameters.galamm . factor_loadings.galamm . family.galamm . fitted.galamm . fixef . galamm-package . galamm . galamm_control . hsced . latent_covariates . latent_covariates_long . llikAIC . logLik.galamm . mresp . mresp_hsced . nobs.galamm . plot.galamm . plot_smooth.galamm . predict.galamm . print.VarCorr.galamm . print.summary.galamm . ranef.galamm . residuals.galamm . sigma.galamm . sl . summary.galamm . t2l . vcov.galamm .
Some associated R codes: RcppExports.R . VarCorr.R . anova.galamm.R . coef.R . confint.R . data.R . define_factor_mappings.R . extract_optim_parameters.R . factor_loadings.R . family.R . fitted.galamm.R . fixef.R . galamm-package.R . galamm.R . galamm_control.R . gamm4-functions.R . logLik.galamm.R . mgcv-functions.R . misc.R . plot.galamm.R . plot_smooth.R . predict.galamm.R . ranef.R . residuals.galamm.R . sigma.R . smooths.R . summary.galamm.R . vcov.R . Full galamm package functions and examples
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