rstap: Spatial Temporal Aggregated Predictor Models via 'stan'

Estimates previously compiled stap regression models using the 'rstan' package. Users specify models via a custom R syntax with a formula and data.frame plus additional arguments for priors.

Version: 1.0.3
Depends: R (≥ 3.4.0), Rcpp (≥ 0.12.16), methods
Imports: abind (≥ 1.4-5), bayesplot (≥ 1.5.0), ggplot2 (≥ 2.2.1), lme4 (≥ 1.1-8), loo (≥ 2.0.0), Matrix (≥ 1.2-13), nlme (≥ 3.1-124), rstan (≥ 2.18.1), rstantools (≥ 1.4.0), stats, utils, pracma (≥ 2.1.4), dplyr (≥ 0.7.6)
LinkingTo: StanHeaders (≥ 2.18.0), rstan (≥ 2.18.1), BH (≥ 1.66.0-1), Rcpp (≥ 0.12.16), RcppEigen (≥ 0.3.3.3.0)
Suggests: testthat, digest, knitr, rmarkdown, pkgdown, fields
Published: 2019-02-06
Author: Adam Peterson [aut, cre]
Maintainer: Adam Peterson <atpvyc at umich.edu>
BugReports: https://github.com/biostatistics4socialimpact/rstap/issues
License: GPL (≥ 3)
URL: https://biostatistics4socialimpact.github.io/rstap
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README
CRAN checks: rstap results

Downloads:

Reference manual: rstap.pdf
Vignettes: STAP_I
Package source: rstap_1.0.3.tar.gz
Windows binaries: r-devel: rstap_1.0.3.zip, r-devel-gcc8: not available, r-release: rstap_1.0.3.zip, r-oldrel: rstap_1.0.3.zip
OS X binaries: r-release: rstap_1.0.3.tgz, r-oldrel: rstap_1.0.3.tgz
Old sources: rstap archive

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