Package: growcurves
Type: Package
Title: Bayesian semiparametric growth curve models that additionally
        include multiple membership random effects.
Version: 0.1.1
Date: 2012-03-24
Author: Terrance Savitsky
Maintainer: <tds151@gmail.com>
Description: 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.
License: GPL (>= 2)
LazyLoad: yes
Depends: Rcpp (>= 0.9.4), RcppArmadillo (>= 0.2.29), reshape2 (>=
        1.2.1), scales (>= 0.2.0), ggplot2 (>= 0.9.0), Formula (>=
        1.0-0), testthat (>= 0.5)
LinkingTo: Rcpp, RcppArmadillo, reshape2, scales, ggplot2, Formula,
        testthat
Collate: 'summary_quantiles.R' 'mcmcPlots.R' 'relabel.R' 'getmf.R'
        'XZcov.R' 'growthCurve.R' 'dpgrowmm.R' 'dpgrow.R' 'help.R'
        'growplot.R' 'trtplot.R' 'datsim.R' 'datsimcov.R'
        'datsimmult.R' 'dpgrowmult.R' 'effectsplot.R' 'datbrghtterms.R'
Packaged: 2012-04-11 18:53:51 UTC; savitsky
Repository: CRAN
Date/Publication: 2012-04-12 11:14:50
Built: R 2.14.2; i386-pc-mingw32; 2012-08-09 23:33:01 UTC; windows
Archs: i386, x64
