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DESCRIPTION
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DESCRIPTION
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Package: rstapDP
Type: Package
Title: Functional Dirichlet Process Spatial Temporal Aggregated Predictors in R
Version: 0.1.5.9000
Date: 2020-08-27
Authors@R: person("Adam", "Peterson", , "atpvyc@umich.edu", c("aut", "cre"))
BugReports: https://github.com/apeterson91/rstapDP/issues
Encoding: UTF-8
Description: rstapDP is a package that implements cluster-level spatial-temporal aggregated predictor functions using splines in R. This allows for the modeling of features' heterogeneous impacts on measured subjects that can be related through space or time.
License: GPL-3
LazyData: true
Depends: R (>= 3.4.0), Rcpp (>= 0.12.16)
Imports:
magrittr,
dplyr,
tidyr,
purrr,
RcppEigen,
stringr,
mgcv,
Matrix,
bendr (>= 1.0.3),
rbenvo (>= 1.0.0),
nlme,
lme4,
RcppProgress,
abind,
rstantools,
bayesplot,
rstan,
parallel,
BH,
RcppParallel,
LaplacesDemon
LinkingTo: Rcpp, RcppEigen,BH, RcppProgress
Suggests:
knitr,
rmarkdown,
testthat (>= 2.1.0),
ggplot2,
covr
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Remotes:
apeterson91/rbenvo