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.
| Version: | 0.2.4.1 |
| Depends: | R (≥ 3.2.2), Rcpp (≥ 0.11.6) |
| Imports: | reshape2 (≥ 1.2.1), Formula (≥ 1.0-0), ggplot2 (≥ 1.0.1) |
| LinkingTo: | Rcpp (≥ 0.11.6), RcppArmadillo (≥ 0.5.000) |
| Suggests: | testthat (≥ 0.9.1) |
| Published: | 2016-12-21 |
| Author: | Terrance Savitsky |
| Maintainer: | Terrance Savitsky <tds151 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | growcurves citation info |
| Materials: | NEWS |
| In views: | Bayesian |
| CRAN checks: | growcurves results |
| Reference manual: | growcurves.pdf |
| Package source: | growcurves_0.2.4.1.tar.gz |
| Windows binaries: | r-devel: growcurves_0.2.4.1.zip, r-release: growcurves_0.2.4.1.zip, r-oldrel: growcurves_0.2.4.1.zip |
| OS X binaries: | r-release: growcurves_0.2.4.1.tgz, r-oldrel: growcurves_0.2.4.1.tgz |
| Old sources: | growcurves archive |
Please use the canonical form https://CRAN.R-project.org/package=growcurves to link to this page.