Package: IDPSurvival 1.2.2
IDPSurvival: Imprecise Dirichlet Process for Survival Analysis
Functions to perform robust nonparametric survival analysis with right censored data using a prior near-ignorant Dirichlet Process. Mangili, F., Benavoli, A., de Campos, C.P., Zaffalon, M. (2015) <doi:10.1002/bimj.201500062>.
Authors:
IDPSurvival_1.2.2.tar.gz
IDPSurvival_1.2.2.zip(r-4.7-any)IDPSurvival_1.2.2.zip(r-4.6-any)IDPSurvival_1.2.2.zip(r-4.5-any)
IDPSurvival_1.2.2.tgz(r-4.6-any)IDPSurvival_1.2.2.tgz(r-4.5-any)
IDPSurvival_1.2.2.tar.gz(r-4.7-any)IDPSurvival_1.2.2.tar.gz(r-4.6-any)
IDPSurvival_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
IDPSurvival/json (API)
| # Install 'IDPSurvival' in R: |
| install.packages('IDPSurvival', repos = c('https://mangilif.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f65fe7d000. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 155 | ||
| source / vignettes | OK | 188 | ||
| linux-release | OK | 137 | ||
| macos-release | OK | 206 | ||
| macos-oldrel | OK | 156 | ||
| windows-devel | OK | 85 | ||
| windows-release | OK | 86 | ||
| windows-oldrel | OK | 84 | ||
| wasm-release | OK | 99 |
Exports:isurvdiffisurvdiff.smaxisurvfit
Dependencies:codetoolsdigestfuturefuture.applyglobalsgtoolslatticelistenvMatrixnumDerivparallellyRcppRcppArmadilloRsolnpsurvivaltruncnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Australian AIDS Survival Data | Aids2 |
| Remission Times for Acute Myelogenous Leukaemia | aml |
| Test Survival Curves Differences for two right censored data | isurvdiff print.isurvdiff |
| Maximum values of s for which the IDP test returns a determinate decision | isurvdiff.smax |
| Create survival curves based on the IDP model | isurvfit print.isurvfit |
| IDP Survival Curve Object | isurvfit.object |
| Plot method for 'isurvfit' objects | plot.isurvfit |