Classify theta values in CMC-theta distribution as having "High" or "Low" CMC candidate counts

decision_highCMC_identifyHighCMCThetas(cmcThetaDistrib, tau = 1)

## Arguments

cmcThetaDistrib output of the decision_highCMC_cmcThetaDistrib function constant used to define a "high" CMC count. This number is subtracted from the maximum CMC count achieved in the CMC-theta distribution. Theta values with CMC counts above this value are considered to have "high" CMC counts.

## Value

A vector of the same length as the input containing "High" or "Low" classification based on whether the associated theta value has a High CMC Candidate count.

## Note

This function is a helper internally called in the decision_CMC function. It is exported to be used as a diagnostic tool for the High CMC method

## Examples

if (FALSE) {

comparisonDF <- purrr::map_dfr(seq(-30,30,by = 3),
theta = .))

highCMCthetas <- comparisonDF %>%