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; (ii) Health decline, aging and mortality: how are they related? by Yashin A. et al. (2007), Biogerontology 8(3), 291(302).
- Version1.7.12
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/05/2022
Documentation
Team
Liang He
Show author detailsRolesAuthorI. Zhbannikov
Show author detailsRolesAuthorK. Arbeev
Show author detailsRolesAuthorI. Akushevich
Show author detailsRolesAuthorA. Yashin
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports4 packages
- Suggests2 packages
- Linking To2 packages