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首页> 外文期刊>The R Journal >Splitting It Up: The spduration Split-Population Duration Regression Package for Time-Varying Covariates
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Splitting It Up: The spduration Split-Population Duration Regression Package for Time-Varying Covariates

机译:拆分:时变协变量的spduration拆分人口持续时间回归软件包

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摘要

We present an implementation of split-population duration regression in the spduration(Beger et al., 2017) package for R that allows for time-varying covariates. The statistical model accountsfor units that are immune to a certain outcome and are not part of the duration process the researcheris primarily interested in. We provide insights for when immune units exist, that can significantlyincrease the predictive performance compared to standard duration models. The package includesestimation and several post-estimation methods for split-population Weibull and log-logistic models.We provide an empirical application to data on military coups.
机译:我们在R的spduration(Beger等人,2017)软件包中提出了种群分裂持续时间回归的实现方法,该方法允许时变协变量。统计模型解释了对特定结果具有免疫力的单位,而不是研究人员主要感兴趣的持续时间过程的一部分。我们提供有关何时存在免疫单位的见解,与标准持续时间模型相比,可以显着提高预测性能。该软件包包括估计和拆分后的威布尔和对数后勤模型的几种估计方法。我们为军事政变数据提供了经验应用。

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