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.
Package details |
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Author | Christopher Gandrud [aut, cre], Laron K. Williams [aut] |
Maintainer | Christopher Gandrud <christopher.gandrud@gmail.com> |
License | GPL (>= 3) |
Version | 1.0 |
URL | https://CRAN.R-project.org/package=pltesim |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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