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 visualizaiton. 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.
