FEATURES / CHANGES
coef.glmnetLRC()
receieves a tolerance argument to avoid selecting coefficients that are very close to 0. FIXES
predict.glmnetLRC()
now correctly handles matrices as predictors, as well as data frames.FEATURES / CHANGES
Smisc::sortDF()
in single_glmnetLRC()
FEATURES / CHANGES
plot.LRCpred()
to plot the predicted probabilites of the LRC, along with associated testssummary.LRCpred()
: Included summary of predicted probabilities, added print.summaryLRCpred()
predLoss_glmnetLRC()
FEATURES / CHANGES
predict.glmnetLRC()
methodFIXES
predict.glmnetLRC()
handled additional columns specified by keepCols
FEATURES / CHANGES
missingpreds
methods to easily identify needed predictors that may not be present in new dataextract
FEATURES / CHANGES
FEATURES / CHANGES
FEATURES / CHANGES
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