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psme
View on CRAN: Click
here
Download and install psme package within the R console
Install from CRAN:
install.packages("psme")
Install from Github:
library("remotes")
install_github("cran/psme") Install by package version:
library("remotes")
install_version("psme", "1.0.0") Attach the package and use:
library("psme")
Maintained by
Zheyuan Li
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[Scholar Profile | Author Map]
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First Published: 2025-10-09
Latest Update: 2025-10-09
Description:
Fit penalized splines mixed-effects models (a special case of additive models) for large longitudinal datasets. The package includes a psme() function that (1) relies on package 'mgcv' for constructing population and subject smooth functions as penalized splines, (2) transforms the constructed additive model to a linear mixed-effects model, (3) exploits package 'lme4' for model estimation and (4) backtransforms the estimated linear mixed-effects model to the additive model for interpretation and visualization. See Pedersen et al. (2019) <doi:10.7717/peerj.6876> and Bates et al. (2015) <doi:10.18637/jss.v067.i01> for an introduction. Unlike the gamm() function in 'mgcv', the psme() function is fast and memory-efficient, able to handle datasets with millions of observations.
How to cite:
Zheyuan Li (2025). psme: Penalized Splines Mixed-Effects Models. R package version 1.0.0, https://cran.r-project.org/web/packages/psme. Accessed 29 Jul. 2026.
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