stpm: Stochastic Process Model for Analysis of Longitudinal and
Time-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: |
1.7.11 |
| 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: |
2022-05-31 |
| 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 |
Documentation:
Downloads:
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