rapids: rapids: A package for cross-validated adaptive signature...
In svetlanache/rapids: What the Package Does (One Line, Title Case)
rapids R Documentation
rapids: A package for cross-validated adaptive signature design (CVASD),
cross-validation risk scores design (CVRS), and two outcome
cross-validation risk scores design (CVRS2)
Description
The "rapids" package provides three main funcitons: simulate.data analyse.simdata and analyse.realdata.
Additional functions are permutation.test for permutation tests for the real data, cvrs.plot for plotting the risk scores, and also print and plot generic methods.
simulate.data
The function simulates covariates data and binary responses to be used in the analysis of the cross-validated adaptive signature design or cross-validation risk scores design.
analyse.simdata
The function computes the power of the design for the simulated data according to the input method ("cvasd" or "cvrs").
analyse.realdata
The function computes the p-value for the interaction effect between the treatment and the sensitivity status.
The sensitivity status is predicted according to the input method ("cvasd" and "cvrs").
permutation.test
The function performs permutation test for the real data.
cvrs.plot
The function plots the risk scores for the "cvrs" method.
simulate.data2
The function simulates covariates data and two binary responses to be used in the analysis of the cross-validation risk scores design for two outcomes (CVRS2)/
analyse.simdata2
The function computes the power of the design for the simulated data for the CVRS2.
analyse.realdata2
The function computes the p-value for the interaction effect between the treatment and the sensitivity status for the CVRS2 design.
svetlanache/rapids documentation built on Sept. 15, 2023, 7 a.m.
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| rapids | R Documentation |
rapids: A package for cross-validated adaptive signature design (CVASD), cross-validation risk scores design (CVRS), and two outcome cross-validation risk scores design (CVRS2)
Description
The "rapids" package provides three main funcitons: simulate.data analyse.simdata and analyse.realdata.
Additional functions are permutation.test for permutation tests for the real data, cvrs.plot for plotting the risk scores, and also print and plot generic methods.
simulate.data
The function simulates covariates data and binary responses to be used in the analysis of the cross-validated adaptive signature design or cross-validation risk scores design.
analyse.simdata
The function computes the power of the design for the simulated data according to the input method ("cvasd" or "cvrs").
analyse.realdata
The function computes the p-value for the interaction effect between the treatment and the sensitivity status. The sensitivity status is predicted according to the input method ("cvasd" and "cvrs").
permutation.test
The function performs permutation test for the real data.
cvrs.plot
The function plots the risk scores for the "cvrs" method.
simulate.data2
The function simulates covariates data and two binary responses to be used in the analysis of the cross-validation risk scores design for two outcomes (CVRS2)/
analyse.simdata2
The function computes the power of the design for the simulated data for the CVRS2.
analyse.realdata2
The function computes the p-value for the interaction effect between the treatment and the sensitivity status for the CVRS2 design.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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