Semiparametric modeling of lifetime data with crossing survival curves via Yang and Prentice model with baseline hazard/odds modeled with Bernstein polynomials. Details about the model can be found in Demarqui and Mayrink (2019) <arXiv:1910.04475>. Model fitting can be carried out via maximum likelihood or Bayesian approaches. The package also provides point and interval estimation for the crossing survival times.
Demarqui, F. N. and Mayrink, V. D. (2019). An Unified Semiparametric Approach to Model Lifetime Data with Crossing Survival Curves. <arXiv:1910.04475>
Yang, S. and Prentice, R. L. (2005). Semiparametric analysis of short-term and long-term hazard ratios with two-sample survival data. Biometrika 92, 1-17.
Stan Development Team (2019). RStan: the R interface to Stan. R package version 2.19.2. https://mc-stan.org
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