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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: 1.7.12
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
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:

Reference manual: stpm.pdf
Vignettes: stpm

Downloads:

Package source: stpm_1.7.12.tar.gz
Windows binaries: r-devel: stpm_1.7.12.zip, r-release: stpm_1.7.12.zip, r-oldrel: stpm_1.7.12.zip
macOS binaries: r-release (arm64): stpm_1.7.12.tgz, r-oldrel (arm64): stpm_1.7.12.tgz, r-release (x86_64): stpm_1.7.12.tgz, r-oldrel (x86_64): stpm_1.7.12.tgz
Old sources: stpm archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.