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'))

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

Datasets:

On CRAN:

Conda:

2.70 score 1 stars 5 exports 48 dependencies

Last updated 1 years agofrom:9496887f5b. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 19 2025
R-4.5-winNOTEMar 19 2025
R-4.5-macNOTEMar 19 2025
R-4.5-linuxNOTEMar 19 2025
R-4.4-winNOTEMar 19 2025
R-4.4-macNOTEMar 19 2025
R-4.4-linuxNOTEMar 19 2025
R-4.3-winNOTEMar 19 2025
R-4.3-macNOTEMar 19 2025

Exports:blanche_survdiffEventpseudo_survdiffsjovan_survdiffSurv

Dependencies:backportsbootbroomclicodetoolscpp11digestdplyreventglmfansifuturefuture.applygeepackgenericsglobalsgluelatticelavalifecyclelistenvmagrittrMASSMatrixmetsmvtnormnumDerivparallellypillarpkgconfigprogressrpurrrR6RcppRcppArmadillorlangsandwichSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimeregutf8vctrswithrzoo

Comparison of Methods in the Rotterdam Data

Rendered fromcomparison.Rmdusingknitr::rmarkdownon Mar 19 2025.

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