calf_randomize: calf_randomize
In stlane/calf: Coarse Approximation Linear Function

Coarse approximation linear function, randomized

1 2	calf_randomize(data, nMarkers, randomize = TRUE, targetVector, times = 1, margin = NULL, optimize = "pval", verbose = FALSE)

`data`	Matrix or data frame. First column must contain case/control dummy coded variable (if targetVector = "binary"). Otherwise, first column must contain real number vector corresponding to selection variable (if targetVector = "real"). All other columns contain relevant markers.
`nMarkers`	Maximum number of markers to include in creation of sum.
`randomize`	Logical. Indicate TRUE to randomize the case/control status (or real number vector) for each individual. Used to compare results from true data with results from randomized data.
`targetVector`	Indicate "binary" for target vector with two options (e.g., case/control). Indicate "real" for target vector with real numbers.
`times`	Numeric. Indicates the number of replications to run with randomization.
`margin`	Real number from 0 to 1. Indicates the amount a potential marker must improve the target criterion (Pearson correlation or p-value) in order to add the marker.
`optimize`	Criteria to optimize if targetVector = "binary." Indicate "pval" to optimize the p-value corresponding to the t-test distinguishing case and control. Indicate "auc" to optimize the AUC.
`verbose`	Logical. Indicate TRUE to print activity at each iteration to console. Defaults to FALSE.