pltesim: Simulate Probabilistic Long-Term Effects in Models with Temporal Dependence

Calculates and depicts probabilistic long-term effects in binary models with temporal dependence variables. The package performs two tasks. First, it calculates the change in the probability of the event occurring given a change in a theoretical variable. Second, it calculates the rolling difference in the future probability of the event for two scenarios: one where the event occurred at a given time and one where the event does not occur. The package is consistent with the recent movement to depict meaningful and easy-to-interpret quantities of interest with the requisite measures of uncertainty. It is the first to make it easy for researchers to interpret short- and long-term effects of explanatory variables in binary autoregressive models, which can have important implications for the correct interpretation of these models.

Version: 1.0
Imports: coreSim, ggplot2
Suggests: testthat, covr
Published: 2017-06-26
Author: Christopher Gandrud [aut, cre], Laron K. Williams [aut]
Maintainer: Christopher Gandrud <christopher.gandrud at gmail.com>
BugReports: https://github.com/christophergandrud/pltesim/issues
License: GPL (≥ 3)
URL: https://CRAN.R-project.org/package=pltesim
NeedsCompilation: no
Materials: README NEWS
CRAN checks: pltesim results

Downloads:

Reference manual: pltesim.pdf
Package source: pltesim_1.0.tar.gz
Windows binaries: r-devel: pltesim_1.0.zip, r-release: pltesim_1.0.zip, r-oldrel: pltesim_1.0.zip
OS X El Capitan binaries: r-release: pltesim_1.0.tgz
OS X Mavericks binaries: r-oldrel: pltesim_1.0.tgz
Old sources: pltesim archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pltesim to link to this page.