R/glmnetLRC_fit.R

In pnnl/glmnetLRC: Lasso and Elastic-Net Logistic Regression Classification with an Arbitrary Loss Function

##' A glmnetLRC model fit object
##'
##' @description
##' This object is returned by the call
##' \code{glmnetLRC_fit <- glmnetLRC(response, predictors, lossMat = lM, estimateLoss = TRUE,
##' nJobs = parallel::detectCores())} in the example of \code{\link{glmnetLRC}}. It is preserved
##' here in the package because it is time consuming to generate.
##'
##' @docType data
##' @format A glmnetLRC object returned by \code{\link{glmnetLRC}}
##' @name glmnetLRC_fit
##' @examples
##' # Load fitted glmnetLRC model
##' data(glmnetLRC_fit)
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