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.
|Author||Christopher Gandrud [aut, cre], Laron K. Williams [aut]|
|Date of publication||2017-06-26 12:48:16 UTC|
|Maintainer||Christopher Gandrud <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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