Rank-Based Test to Evaluate a Surrogate Marker

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Documentation for package ‘SurrogateRank’ version 3.0

• DESCRIPTION file

Help Pages

delta.calculate	Calculates the rank-based test statistic for Y and S and the difference, delta
delta.calculate.extension	Calculate Delta: Difference in Rank-based Statistics for Two Outcomes
delta.reml.meta	Function to perform meta-analysis of summary statistics and hypothesis testing for a single marker
est.power	Estimated power to detect a valid surrogate
example.data	Example data
example.data.highdim	High‑dimensional surrogate candidate example dataset
example.data.highdim.multistudy	High-dimensional, multi-study surrogate candidate example dataset
example.data.highdim.multistudy.ipd	High‑dimensional multi-study individual participant surrogate candidate example dataset
generate.example.data.highdim	Generate individual participant data for high-dimensional surrogate candidates and response
generate.example.data.highdim.multistudy	Generate high-dimensional multi-study surrogate marker trial-level effects
generate.example.data.highdim.multistudy.ipd	Generate multi-study individual participant data for high-dimensional surrogate candidates and response
rise.evaluate	Function to perform the evaluation stage of RISE : Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers
rise.evaluate.meta	Function to perform the evaluation stage of RISE-meta : Meta-Analysis of High-Dimensional Surrogate Markers
rise.screen	Function to perform the screening stage of RISE : Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers
rise.screen.meta	Function to perform the screening stage of RISE-meta : Meta-Analysis of High-Dimensional Surrogate Markers
test.surrogate	Tests whether the surrogate is valid
test.surrogate.extension	Function to test for trial-level surrogacy of a single marker extended to the paired, two sided test setting
test.surrogate.rise	Function to perform RISE : Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers