explore {rope}

Run first step of model fitting to find good penalization interval

Description

Run first step of model fitting to find good penalization interval

Usage

explore(data, B, mc.cores = getOption("mc.cores", 2L))

Arguments

data

Matrix of variable presence counts. One column for each variable, one row for each parameter value (e.g. levels of regularization).

B

Number of bootstraps used to construct data. At least 21 are needed for u-shape test heuristic to work, but in general it is recommended to use many more.

mc.cores

Number of threads to run in parallel (1 turns of parallelization)

Value

A list with components

pop.sep

vector of values saying how separated true and false variables are for each level of penalization