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
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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)
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survidm.pdf |survidm.html✨
survidm/json (API)

Peer review:

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

On CRAN:

19 exports 1 stars 0.73 score 87 dependencies 18 scripts 172 downloads

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

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

Dependencies:askpassbase64encbootbslibcachemclicodetoolscolorspacecpp11crosstalkcubaturecurldata.tabledigestdoParalleldoRNGdplyrevaluatefansifarverfastmapfontawesomeforeachfsgenericsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixMatrixModelsmemoisemgcvmimemunsellnlmenpopensslpillarpkgconfigplotlypromisespurrrquadprogquantregR6rappdirsRColorBrewerRcpprlangrmarkdownrngtoolssassscalesSparseMstringistringrsurvivalsystibbletidyrtidyselecttinytexTPmsmutf8vctrsviridisLitewithrxfunyaml