growcurves (0.1.1)

Bayesian semiparametric growth curve models that additionally include multiple membership random effects..

Employs a Dirichlet Process (DP) prior on the set of by-subject random effect parameters under repeated waves of measurements to allow the number of random effect parameters specified per subject, \code{q}, to be equal to the number of measurement waves, \code{T}. Random effects are grouped by subject and all \code{q} parameters receive the DP prior. An additional set of random effects are included that utilize a different grouping factor; e.g. treatment(s) exposure or dosage. These additional random effects are mapped back to subjects through a multiple membership weight matrix.

Maintainer: Unknown
Author(s): Terrance Savitsky

License: GPL (>= 2)

Uses: Formula, ggplot2, Rcpp, RcppArmadillo, reshape2, scales, testthat

Released about 7 years ago.