Package: pltesim
Type: Package
Title: Simulate Probabilistic Long-Term Effects in Models with Temporal
        Dependence
Description: 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
Date: 2017-06-26
Authors@R: c(
    person("Christopher", "Gandrud", email = "christopher.gandrud@gmail.com",
    role = c("aut", "cre")),
    person("Laron K.", "Williams", role = "aut")
    )
BugReports: https://github.com/christophergandrud/pltesim/issues
URL: https://CRAN.R-project.org/package=pltesim
License: GPL (>= 3)
LazyData: TRUE
RoxygenNote: 6.0.1
Imports: coreSim, ggplot2
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2017-06-26 10:10:44 UTC; christophergandrud
Author: Christopher Gandrud [aut, cre],
  Laron K. Williams [aut]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>
Repository: CRAN
Date/Publication: 2017-06-26 12:48:16 UTC
