stpm: Stochastic Process Model for Analysis of Longitudinal and Time-to-Event Outcomes (original) (raw)
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, |
| CRAN checks: | stpm results |
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