Package: SurrogateTest 1.3

SurrogateTest: Early Testing for a Treatment Effect using Surrogate Marker Information

Provides functions to test for a treatment effect in terms of the difference in survival between a treatment group and a control group using surrogate marker information obtained at some early time point in a time-to-event outcome setting. Nonparametric kernel estimation is used to estimate the test statistic and perturbation resampling is used for variance estimation. More details will be available in the future in: Parast L, Cai T, Tian L (2019) ``Using a Surrogate Marker for Early Testing of a Treatment Effect" Biometrics, 75(4):1253-1263. <doi:10.1111/biom.13067>.

Authors:Layla Parast

SurrogateTest_1.3.tar.gz
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SurrogateTest_1.3.tgz(r-4.6-any)SurrogateTest_1.3.tgz(r-4.5-any)
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SurrogateTest_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SurrogateTest/json (API)

# Install 'SurrogateTest' in R:
install.packages('SurrogateTest', repos = c('https://laylaparast.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • dataA - Hypothetical Study A data
  • dataB - Hypothetical Study B data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.08 score 12 scripts 242 downloads 15 exports 3 dependencies

Last updated from:666a44f15b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK157
linux-release-x86_64OK118
macos-release-arm64OK78
macos-oldrel-arm64OK91
windows-develOK77
windows-releaseOK79
windows-oldrelOK74
wasm-releaseOK91

Exports:censor.weightcumsum2delta.ea.singledelta.eb.singledelta.estimatedesign.studyearly.delta.testhelper.siint.hazcint.hazc.planKern.FUNpred.smooth.surv.newrecover.Bvar.delta.ebVTM

Dependencies:latticeMatrixsurvival