Package: growcurves
Type: Package
Title: Bayesian semi and nonparametric growth curve models that
        additionally include multiple membership random effects.
Version: 0.2.3.7
Date: 2014-01-07
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 (>= 3.0.2), Rcpp (>= 0.10.6),
LinkingTo: Rcpp (>= 0.10.6), RcppArmadillo (>= 0.4.000)
Imports: RcppArmadillo (>= 0.4.000), reshape2 (>= 1.2.1), scales (>=
        0.2.0), ggplot2 (>= 0.9.2), Formula (>= 1.0-0), testthat (>=
        0.5)
Collate: 'getmf.R' 'XZcov.R' 'datbrghtmodterms.R' 'datbrghtterms.R'
        'dateduc.R' 'datsim.R' 'datsimcov.R' 'datsimmult.R'
        'ddpMCMCplots.R' 'ddp_quantiles.R' 'ddpeffectsplot.R'
        'relabel.R' 'growthCurve.R' 'summary_quantiles.R' 'mcmcPlots.R'
        'dpgrowmm.R' 'ddpgrow.R' 'dpgrow.R' 'dpgrowmult.R'
        'effectsplot.R' 'growplot.R' 'help.R' 'trtplot.R'
NeedsCompilation: yes
Packaged: 2014-01-11 20:54:21 UTC; User
Repository: CRAN
Date/Publication: 2014-01-12 01:16:04
