error_funcs: Error functions
In henckr/distRforest: Distribution-based Random Forest

The group of loss functions used to calculate OOB errors.

error_funcs(ytrue, ypred, wcase = rep(1, length(ytrue)), method)

dev_poiss(ytrue, ypred, wcase)

dev_gamma(ytrue, ypred, wcase)

wgt_mse(ytrue, ypred, wcase)

mcc(ytrue, ypred, wcase)

`ytrue`	numeric vector of the true target values.
`ypred`	numeric vector of the predicted target values.
`wcase`	numeric vector of case weights.
`method`	string specifying the type of random forest. One of the following: 'anova', 'class', 'poisson', 'gamma' or 'lognormal'.

dev_poiss: Poisson deviance loss function for Poisson regression
dev_gamma: Gamma deviance loss function for gamma regression
wgt_mse: Weighted mean squared error loss function for anova and lognormal regression
mcc: Matthews correlation coefficient for binary classification