Package: drsurv 0.1.0

drsurv: Doubly Robust Estimation of Survival Differences with Censored Data

An implementation of several doubly robust estimators for the survival difference at a given time point and one more complex doubly robust estimator for the survival curve process. The estimators are doubly robust in the sense that they are consistent if the censoring model is correctly specified for censoring and either the outcome model is correctly specified for confounding or the exposure model is correctly specified for confounding. See <doi:10.48550/arXiv.2310.16207> for more details and examples.

Authors:Michael C Sachs [aut, cre], Arvid Sjölander [aut], Erin E Gabriel [aut]

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drsurv.pdf |drsurv.html
drsurv/json (API)

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

Peer review:

Bug tracker:https://github.com/sachsmc/drsurv/issues

Datasets:

On CRAN:

5 exports 2.70 score 48 dependencies

Last updated 9 months agofrom:9496887f5b. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 16 2024
R-4.5-winNOTESep 16 2024
R-4.5-linuxNOTESep 16 2024
R-4.4-winNOTESep 16 2024
R-4.4-macNOTESep 16 2024
R-4.3-winNOTESep 16 2024
R-4.3-macNOTESep 16 2024

Exports:blanche_survdiffEventpseudo_survdiffsjovan_survdiffSurv

Dependencies:backportsbootbroomclicodetoolscpp11digestdplyreventglmfansifuturefuture.applygeepackgenericsglobalsgluelatticelavalifecyclelistenvmagrittrMASSMatrixmetsmvtnormnumDerivparallellypillarpkgconfigprogressrpurrrR6RcppRcppArmadillorlangsandwichSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimeregutf8vctrswithrzoo

Comparison of Methods in the Rotterdam Data

Rendered fromcomparison.Rmdusingknitr::rmarkdownon Sep 16 2024.

Last update: 2024-01-29
Started: 2024-01-29