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 |
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 |
macOS binaries: | r-release: pltesim_1.0.tgz, r-oldrel: pltesim_1.0.tgz |
Old sources: | pltesim archive |
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