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: 1.6.4
Depends: R (≥ 2.10), Rcpp (≥ 0.11.1), mice
Imports: sas7bdat, stats, nloptr, survival, tools
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr (≥ 1.11)
Published: 2017-03-05
Author: I. Y. Zhbannikov, Liang He, K. G. Arbeev, A. I. 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

Downloads:

Reference manual: stpm.pdf
Vignettes: stpm
Package source: stpm_1.6.4.tar.gz
Windows binaries: r-devel: stpm_1.6.4.zip, r-release: stpm_1.6.4.zip, r-oldrel: stpm_1.6.4.zip
OS X Mavericks binaries: r-release: stpm_1.6.4.tgz, r-oldrel: stpm_1.6.4.tgz
Old sources: stpm archive

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