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.

Documentation

Manual: pltesim.pdf
Vignette: None available.

Maintainer: Christopher Gandrud <christopher.gandrud at gmail.com>

Author(s): Christopher Gandrud*, Laron K. Williams*

Install package and any missing dependencies by running this line in your R console:

install.packages("pltesim")

Depends
Imports coreSim, ggplot2
Suggests testthat, covr
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Package pltesim
Materials
URL https://CRAN.R-project.org/package=pltesim
Task Views
Version 1.0
Published 2017-06-26
License GPL (>= 3)
BugReports https://github.com/christophergandrud/pltesim/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks pltesim check results
Package source pltesim_1.0.tar.gz