Package: growcurves
Type: Package
Title: Bayesian Semi and Nonparametric Growth Curve Models that
        Additionally Include Multiple Membership Random Effects
Version: 0.2.4.0
Date: 2015-11-13
Author: Terrance Savitsky
Maintainer: Terrance Savitsky <tds151@gmail.com>
Description: 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.
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 3.2.2), Rcpp (>= 0.11.6)
LinkingTo: Rcpp (>= 0.11.6), RcppArmadillo (>= 0.5.000)
Imports: reshape2 (>= 1.2.1), Formula (>= 1.0-0), ggplot2 (>= 1.0.1)
Suggests: testthat (>= 0.9.1)
Collate: 'getmf.R' 'XZcov.R' 'datbrghtmodterms.R' 'datbrghtterms.R'
        'dateduc.R' 'datsim.R' 'datsimcov.R' 'datsimmult.R'
        'ddpMCMCplots.R' 'ddp_quantiles.R' 'ddpeffectsplot.R'
        'summary_quantiles.R' 'mcmcPlots.R' 'relabel.R' 'growthCurve.R'
        'dpgrowmm.R' 'ddpgrow.R' 'dpgrow.R' 'dpgrowmult.R'
        'effectsplot.R' 'growplot.R' 'help.R' 'trtplot.R'
NeedsCompilation: yes
RoxygenNote: 5.0.0
Packaged: 2015-11-14 01:13:22 UTC; savitsky_t
Repository: CRAN
Date/Publication: 2015-11-15 10:09:01
Built: R 3.3.2; x86_64-w64-mingw32; 2016-12-02 04:22:28 UTC; windows
Archs: i386, x64
