The spduration package provides functions to estimate split-population duration regression models in which only a subset of the population is at risk for failure, while the remainder is immune, or cured, from the possibility of experiencing a failure event. In practice, this class of models also may produce better performance in sparse data with few actual failure events.
The main function spdur is used to estimate the model
objects with class spdur.
Postestimation tools include predict.spdur, for calculating
fitted values with arbitrary data and for several probabilities that
might be of interest, as well as plot.spdur for visual
display of model fit.
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