Package: survML 1.1.0.9000

survML: Tools for Flexible Survival Analysis Using Machine Learning

Statistical tools for analyzing time-to-event data using machine learning. Implements survival stacking for conditional survival estimation, isotonic regression for current status data, and methods for algorithm-agnostic variable importance. See Wolock CJ, Gilbert PB, Simon N, and Carone M (2024) <doi:10.1080/10618600.2024.2304070>.

Authors:Charles Wolock [aut, cre, cph], Avi Kenny [ctb]

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survML/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/cwolock/survml/issues

On CRAN:

12 exports 14 stars 2.50 score 77 dependencies 1 dependents 70 scripts 201 downloads

Last updated 12 days agofrom:1bf52172b8. Checks:OK: 1 WARNING: 6. Indexed: yes.

Exports:crossfit_oracle_predscrossfit_surv_predscurrstatCIRDR_pseudo_outcome_regressionstackGstackLvim_accuracyvim_AUCvim_briervim_cindexvim_rmst_msevim_rsquared

Dependencies:abindassertthatbitopscaToolsChernoffDistclicodetoolscolorspacecpp11cvAUCdata.tabledigestdplyrfansifarverfdrtoolforeachfurrrfuturefuture.applygamgenericsggplot2glmnetglobalsgluegplotsgslgtablegtoolshal9001haldensifyIsoisobanditeratorsKernSmoothlabelinglatticelifecyclelistenvmagrittrMASSMatrixmatrixStatsmgcvmunsellnlmennlsorigamiparallellypillarpkgconfigpurrrR6rbibutilsRColorBrewerRcppRcppEigenRdpackrlangROCRrsamplescalesshapesliderstringistringrSuperLearnersurvivaltibbletidyrtidyselectutf8vctrsviridisLitewarpwithr