eesim: Simulate and Evaluate Time Series for Environmental Epidemiology

Provides functions to create simulated time series of environmental exposures (e.g., temperature, air pollution) and health outcomes for use in power analysis and simulation studies in environmental epidemiology. This package also provides functions to evaluate the results of simulation studies based on these simulated time series. This work was supported by a grant from the National Institute of Environmental Health Sciences (R00ES022631) and a fellowship from the Colorado State University Programs for Research and Scholarly Excellence.

Version: 0.1.0
Imports: dplyr (≥ 0.5.0), lubridate (≥ 1.5.6), purrr (≥ 0.2.2), splines, viridis (≥ 0.4.0)
Suggests: dlnm (≥ 2.3.2), ggplot2 (≥ 2.2.1), gridExtra (≥ 2.2.1), knitr (≥ 1.15.1), rmarkdown (≥ 1.5.0), tidyr (≥ 0.6.2)
Published: 2017-06-03
Author: Sarah Koehler [aut], Brooke Anderson [aut, cre]
Maintainer: Brooke Anderson <brooke.anderson at colostate.edu>
BugReports: http://github.com/sakoehler7/eesim/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://github.com/sakoehler7/eesim
NeedsCompilation: no
CRAN checks: eesim results

Downloads:

Reference manual: eesim.pdf
Vignettes: Using the eesim package
Package source: eesim_0.1.0.tar.gz
Windows binaries: r-devel: eesim_0.1.0.zip, r-release: eesim_0.1.0.zip, r-oldrel: eesim_0.1.0.zip
OS X binaries: r-release: eesim_0.1.0.tgz, r-oldrel: eesim_0.1.0.tgz

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