PO.EN.predict: PO-EN predicting function

In Iuliana-Ionita-Laza/PO.EN: An Elastic-Net Regularized Presence-Only Model

PO-EN predicting function

Description

A prediction function using the linear predictor of PO-EN fitting results.

Usage

PO.EN.predict(X, beta)

Arguments

X	Input design matrix. Should not include the intercept vector.
beta	A coefficients vector from the PO-EN fitting function.

Examples

PO.EN.cv<-cv.PO.EN(x_train,y_train,input.pi=seq(0.01,0.4,length.out=10))
PO.EN.beta<-PO.EN(x_train,y_train,lambda=PO.EN.cv$lambda.min,
           true.prob=PO.EN.cv$pi,beta_start=rep(0,ncol(x_train)+1))
predictions<-PO.EN.predict(x_test,PO.EN.beta)
roc(y_test~predictions)

Iuliana-Ionita-Laza/PO.EN documentation built on April 19, 2022, 7:10 a.m.