psme: Penalized Splines Mixed-Effects Models

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.

Version:	1.0.0
Depends:	R (≥ 4.0.0)
Imports:	stats, Matrix, methods, mgcv, lme4
Published:	2025-10-09
DOI:	10.32614/CRAN.package.psme
Author:	Zheyuan Li [aut, cre]
Maintainer:	Zheyuan Li <zheyuan.li at bath.edu>
License:	GPL-3
URL:	https://github.com/ZheyuanLi/psme
NeedsCompilation:	no
CRAN checks:	psme results

Documentation:

Reference manual:

psme.html , psme.pdf

Downloads:

Package source:	psme_1.0.0.tar.gz
Windows binaries:	r-devel: psme_1.0.0.zip, r-release: psme_1.0.0.zip, r-oldrel: psme_1.0.0.zip
macOS binaries:	r-release (arm64): psme_1.0.0.tgz, r-oldrel (arm64): psme_1.0.0.tgz, r-release (x86_64): psme_1.0.0.tgz, r-oldrel (x86_64): psme_1.0.0.tgz

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