model_metrics: Calculate predictive metrics for glm models
In jbkunst/risk3r: Tools for credit risk modelling

model_metrics

R Documentation

Calculate predictive metrics for glm models

Description

Calculate predictive metrics for glm models

Usage

model_metrics(model, newdata = NULL)

Arguments

`model`	model
`newdata`	Optional data frame

Examples


N <- 10000
predicted <- runif(N)
actual <- rbinom(N, size = 1, prob = predicted)

daux <- data.frame(actual = actual, predicted = predicted)
m <- glm(actual ~ predicted, family = binomial, data = daux)

model_metrics(m)
model_metrics(m, newdata = head(daux, 100))

jbkunst/risk3r documentation built on March 19, 2024, 10:49 p.m.