Package: survidm 1.3.2

survidm: Inference and Prediction in an Illness-Death Model

Newly developed methods for the estimation of several probabilities in an illness-death model. The package can be used to obtain nonparametric and semiparametric estimates for: transition probabilities, occupation probabilities, cumulative incidence function and the sojourn time distributions. Additionally, it is possible to fit proportional hazards regression models in each transition of the Illness-Death Model. Several auxiliary functions are also provided which can be used for marginal estimation of the survival functions.

Authors:Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho

survidm_1.3.2.tar.gz
survidm_1.3.2.zip(r-4.5)survidm_1.3.2.zip(r-4.4)survidm_1.3.2.zip(r-4.3)
survidm_1.3.2.tgz(r-4.4-x86_64)survidm_1.3.2.tgz(r-4.4-arm64)survidm_1.3.2.tgz(r-4.3-x86_64)survidm_1.3.2.tgz(r-4.3-arm64)
survidm_1.3.2.tar.gz(r-4.5-noble)survidm_1.3.2.tar.gz(r-4.4-noble)
survidm_1.3.2.tgz(r-4.4-emscripten)survidm_1.3.2.tgz(r-4.3-emscripten)
survidm.pdf |survidm.html
survidm/json (API)

# Install 'survidm' in R:
install.packages('survidm', repos = c('https://sestelo.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/sestelo/survidm/issues

Datasets:
  • bladderIDM - Bladder Cancer Recurrences.
  • colonIDM - Chemotherapy for Stage B/C colon cancer.

On CRAN:

2.95 score 1 stars 18 scripts 181 downloads 19 exports 87 dependencies

Last updated 3 years agofrom:1638cf1008. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64NOTENov 07 2024
R-4.5-linux-x86_64NOTENov 07 2024
R-4.4-win-x86_64NOTENov 07 2024
R-4.4-mac-x86_64NOTENov 07 2024
R-4.4-mac-aarch64NOTENov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:autoplotBeranCIFcoxidmKMKMWLLWmarkov.testneventsNWWPKMPKMWplot.survIDMprint.survIDMsojournsummary.cmmsummary.survIDMsurvIDMtprob

Dependencies:askpassbase64encbootbslibcachemclicodetoolscolorspacecpp11crosstalkcubaturecurldata.tabledigestdoParalleldoRNGdplyrevaluatefansifarverfastmapfontawesomeforeachfsgenericsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixMatrixModelsmemoisemgcvmimemunsellnlmenpopensslpillarpkgconfigplotlypromisespurrrquadprogquantregR6rappdirsRColorBrewerRcpprlangrmarkdownrngtoolssassscalesSparseMstringistringrsurvivalsystibbletidyrtidyselecttinytexTPmsmutf8vctrsviridisLitewithrxfunyaml