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]

drsurv_0.1.0.tar.gz
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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:

2.70 score 1 stars 5 exports 48 dependencies

Last updated 1 years agofrom:9496887f5b. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKDec 19 2024
R-4.5-winNOTEDec 19 2024
R-4.5-linuxNOTEDec 19 2024
R-4.4-winNOTEDec 19 2024
R-4.4-macNOTEDec 19 2024
R-4.3-winNOTEDec 19 2024
R-4.3-macNOTEDec 19 2024

Exports:blanche_survdiffEventpseudo_survdiffsjovan_survdiffSurv

Dependencies:backportsbootbroomclicodetoolscpp11digestdplyreventglmfansifuturefuture.applygeepackgenericsglobalsgluelatticelavalifecyclelistenvmagrittrMASSMatrixmetsmvtnormnumDerivparallellypillarpkgconfigprogressrpurrrR6RcppRcppArmadillorlangsandwichSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimeregutf8vctrswithrzoo

Comparison of Methods in the Rotterdam Data

Rendered fromcomparison.Rmdusingknitr::rmarkdownon Dec 19 2024.

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