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

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

## Documentation for package ‘Rsurrogate’ version 3.2

- DESCRIPTION file

## Help Pages

Aug.R.s.surv.estimate | 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 time
delta.estimate | Calculates treatment effect
delta.multiple.surv | Calculates robust residual treatment effect accounting for multiple surrogate markers at a specified time and primary outcome information up to that specified time
delta.s.estimate | Calculates model-based or robust residual treatment effect
delta.s.surv.estimate | Calculates robust residual treatment effect accounting for surrogate marker information measured at a specified time and primary outcome information up to that specified time
delta.surv.estimate | Calculates treatment effect in a survival setting
delta.t.surv.estimate | Calculates robust residual treatment effect accounting only for primary outcome information up to a specified time
d_example | Hypothetical data
d_example_me | Hypothetical data with replicate measurements
d_example_multiple | Hypothetical survival data with multiple surrogate markers
d_example_surv | Hypothetical survival data
fieller.ci | Constructs Fieller's confidence interval.
me.variance.estimate | Estimates measurement error variance given replicate data.
R.multiple.surv | Calculates the proportion of treatment effect explained by multiple surrogate markers measured at a specified time and primary outcome information up to that specified time
R.s.estimate | Calculates the proportion of treatment effect explained
R.s.estimate.me | Calculates the proportion of treatment effect explained correcting for measurement error in the surrogate marker
R.s.surv.estimate | 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 time
R.t.surv.estimate | Calculates the proportion of treatment effect explained by the primary outcome information up to a specified time