stpm: Stochastic Process Model for Analysis of Longitudinal andTime-to-Event Outcomes
Utilities to estimate parameters of the models with survival functions induced by stochastic covariates. Miscellaneous functions for data preparation and simulation are also provided. For more information, see: (i)"Stochastic model for analysis of longitudinal data on aging and mortality" by Yashin A. et al. (2007), Mathematical Biosciences, 208(2), 538-551, <doi:10.1016/j.mbs.2006.11.006>; (ii) "Health decline, aging and mortality: how are they related?" by Yashin A. et al. (2007), Biogerontology 8(3), 291(302), <doi:10.1007/s10522-006-9073-3>.
| Version: | 1.7.12 |
| Depends: | R (≥ 2.10),Rcpp (≥ 0.11.1) |
| Imports: | sas7bdat, stats,nloptr,survival, tools,MASS |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | knitr (≥ 1.11),rmarkdown (≥ 1.9) |
| Published: | 2022-09-05 |
| DOI: | 10.32614/CRAN.package.stpm |
| Author: | I. Zhbannikov, Liang He, K. Arbeev, I. Akushevich, A. Yashin. |
| Maintainer: | Ilya Y. Zhbannikov <ilya.zhbannikov at duke.edu> |
| License: | GPL-2 |GPL-3 [expanded from: GPL] |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | stpm results[issues need fixing before 2026-01-15] |
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