Package: Rsurrogate 3.3

Rsurrogate: Robust Estimation of the Proportion of Treatment Effect Explained by Surrogate Marker Information

Provides functions to estimate the proportion of treatment effect on the primary outcome that is explained by the treatment effect on the surrogate marker. A tutorial for this package can be found at <https://github.com/laylaparast/Rsurrogate> and a Shiny App implementing the package can be found at <https://parastlab.shinyapps.io/RSurrogateApp/>.

Authors:Layla Parast [aut, cre]

Rsurrogate_3.3.tar.gz
Rsurrogate_3.3.zip(r-4.7-any)Rsurrogate_3.3.zip(r-4.6-any)Rsurrogate_3.3.zip(r-4.5-any)
Rsurrogate_3.3.tgz(r-4.6-any)Rsurrogate_3.3.tgz(r-4.5-any)
Rsurrogate_3.3.tar.gz(r-4.7-any)Rsurrogate_3.3.tar.gz(r-4.6-any)
Rsurrogate_3.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Rsurrogate/json (API)

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

Bug tracker:https://github.com/laylaparast/rsurrogate/issues

Datasets:

On CRAN:

Conda:

4.56 score 1 stars 5 packages 24 scripts 239 downloads 26 exports 10 dependencies

Last updated from:98ed6f9869. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK145
source / vignettesOK196
linux-releaseOK136
macos-releaseOK129
macos-oldrelOK98
windows-develOK106
windows-releaseOK99
windows-oldrelOK95
wasm-releaseOK112

Exports:Aug.R.s.surv.estimateaugment.est.vectorcalculate.var.npcensor.weightcumsum2delta.estimatedelta.multiple.survdelta.s.estimatedelta.s.surv.estimatedelta.surv.estimatedelta.t.surv.estimatefieller.calculate.mefieller.cihelper.siKern.FUNme.variance.estimateperturb.nu.vectorpred.smoothpred.smooth.survR.multiple.survR.s.estimateR.s.estimate.meR.s.surv.estimateR.t.surv.estimateselect.surrogateVTM

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival

Readme and manuals

Help Manual

Help pageTopics
Calculates the augmented estimator of the proportion of treatment effect explained by the surrogate marker information measured at a specified time and primary outcome information up to that specified timeAug.R.s.surv.estimate
Hypothetical datad_example
Hypothetical data with replicate measurementsd_example_me
Hypothetical survival data with multiple surrogate markersd_example_multiple
Hypothetical survival datad_example_surv
Example data for treatment-aware regularizationd_tar_example
Calculates treatment effectdelta.estimate
Calculates robust residual treatment effect accounting for multiple surrogate markers at a specified time and primary outcome information up to that specified timedelta.multiple.surv
Calculates model-based or robust residual treatment effectdelta.s.estimate
Calculates robust residual treatment effect accounting for surrogate marker information measured at a specified time and primary outcome information up to that specified timedelta.s.surv.estimate
Calculates treatment effect in a survival settingdelta.surv.estimate
Calculates robust residual treatment effect accounting only for primary outcome information up to a specified timedelta.t.surv.estimate
Constructs Fieller's confidence interval.fieller.ci
Estimates measurement error variance given replicate data.me.variance.estimate
Calculates the proportion of treatment effect explained by multiple surrogate markers measured at a specified time and primary outcome information up to that specified timeR.multiple.surv
Calculates the proportion of treatment effect explainedR.s.estimate
Calculates the proportion of treatment effect explained correcting for measurement error in the surrogate markerR.s.estimate.me
Calculates the proportion of treatment effect explained by the surrogate marker information measured at a specified time and primary outcome information up to that specified timeR.s.surv.estimate
Calculates the proportion of treatment effect explained by the primary outcome information up to a specified timeR.t.surv.estimate
Selects an optimal subset of surrogate markers and estimates the proportion of treatment effect explainedselect.surrogate