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  • 标题:Simulating Probabilistic Long-Term Effects in Models with Temporal Dependence
  • 本地全文:下载
  • 作者:Christopher Gandrud ; Laron K. Williams
  • 期刊名称:R News
  • 印刷版ISSN:1609-3631
  • 出版年度:2017
  • 卷号:9
  • 期号:2
  • 页码:401-408
  • 语种:English
  • 出版社:The R Foundation for Statistical Computing
  • 摘要:The R package pltesim 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 shortand long-term effects of explanatory variables in binary autoregressive models, which can have important implications for the correct interpretation of these models.
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