growcurves (0.2)

Bayesian semi and nonparametric growth curve models that additionally include multiple membership random effects..

Employs a non-parametric formulation for by-subject random effect parameters to borrow strength over a constrained number of repeated measurement waves in a fashion that permits multiple effects per subject. One class of models employs a Dirichlet process (DP) prior for the subject random effects and includes an additional set of random effects that utilize a different grouping factor and are mapped back to clients through a multiple membership weight matrix; e.g. treatment(s) exposure or dosage. A second class of models employs a dependent DP (DDP) prior for the subject random effects that directly incorporates the multiple membership pattern.

Maintainer: Unknown
Author(s): Terrance Savitsky

License: GPL (>= 2)

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

Released almost 7 years ago.