The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
We consider studies in which information from error-prone diagnostic tests or self-reports are gathered sequentially to determine the occurrence of a silent event. Using a likelihood-based approach incorporating the proportional hazards assumption, we provide functions to estimate the survival distribution and covariate effects. We also provide functions for power and sample size calculations for this setting. Please refer to Xiangdong Gu, Yunsheng Ma, and Raji Balasubramanian (2015) <doi:10.1214/15-AOAS810>, Xiangdong Gu and Raji Balasubramanian (2016) <doi:10.1002/sim.6962>, Xiangdong Gu, Mahlet G Tadesse, Andrea S Foulkes, Yunsheng Ma, and Raji Balasubramanian (2020) <doi:10.1186/s12911-020-01223-w>.
Version: | 1.5.0 |
Imports: | Rcpp (≥ 0.11.3) |
LinkingTo: | Rcpp |
Suggests: | testthat |
Published: | 2021-09-02 |
DOI: | 10.32614/CRAN.package.icensmis |
Author: | Xiangdong Gu and Raji Balasubramanian |
Maintainer: | Xiangdong Gu <ustcgxd at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | icensmis results |
Reference manual: | icensmis.pdf |
Package source: | icensmis_1.5.0.tar.gz |
Windows binaries: | r-devel: icensmis_1.5.0.zip, r-release: icensmis_1.5.0.zip, r-oldrel: icensmis_1.5.0.zip |
macOS binaries: | r-release (arm64): icensmis_1.5.0.tgz, r-oldrel (arm64): icensmis_1.5.0.tgz, r-release (x86_64): icensmis_1.5.0.tgz, r-oldrel (x86_64): icensmis_1.5.0.tgz |
Old sources: | icensmis archive |
Reverse imports: | icRSF |
Please use the canonical form https://CRAN.R-project.org/package=icensmis to link to this page.
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.