pltesim: Simulate Probabilistic Long-Term Effects in Models with Temporal Dependence (original) (raw)
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 |
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Imports: | coreSim, ggplot2 |
Suggests: | testthat, covr |
Published: | 2017-06-26 |
DOI: | 10.32614/CRAN.package.pltesim |
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 |
CRAN checks: | pltesim results |
Documentation:
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