Man pages for Rsurrogate
Robust Estimation of the Proportion of Treatment Effect Explained by Surrogate Marker Information

augment.est.vectorAugmentation function
Aug.R.s.surv.estimateCalculates the augmented estimator of the proportion of...
calculate.var.npcalculates closed form variance estimate for R
censor.weightCalculates censoring probability for weighting
cumsum2Helper function
delta.estimateCalculates treatment effect
delta.multiple.survCalculates robust residual treatment effect accounting for...
delta.s.estimateCalculates model-based or robust residual treatment effect
delta.s.surv.estimateCalculates robust residual treatment effect accounting for...
delta.surv.estimateCalculates treatment effect in a survival setting
delta.t.surv.estimateCalculates robust residual treatment effect accounting only...
d_exampleHypothetical data
d_example_meHypothetical data with replicate measurements
d_example_multipleHypothetical survival data with multiple surrogate markers
d_example_survHypothetical survival data
fieller.calculate.meConstructs Fieller's confidence interval.
fieller.ciConstructs Fieller's confidence interval.
helper.siHelper function
Kern.FUNCalculates kernel matrix
me.variance.estimateEstimates measurement error variance given replicate data.
perturb.nu.vectorHelper for augmentation function
pred.smoothCalculates expected outcome for control group surrogate...
pred.smooth.survCalculates the conditional probability of survival for...
R.multiple.survCalculates the proportion of treatment effect explained by...
R.s.estimateCalculates the proportion of treatment effect explained
R.s.estimate.meCalculates the proportion of treatment effect explained...
R.s.surv.estimateCalculates the proportion of treatment effect explained by...
R.t.surv.estimateCalculates the proportion of treatment effect explained by...
VTMRepeats a row.
Rsurrogate documentation built on Nov. 14, 2021, 9:07 a.m.