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
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

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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