evaluate: Evaluate prediction

In glmaag: Adaptive LASSO and Network Regularized Generalized Linear Models

Description

Evaluate goodness of prediction.

Usage

evaluate(y_pre, y, cutpoint = 0.5, fam = "Gaussian")

Arguments

y_pre	predicted value
y	actual values (class for binary phenotype and Surv object for right censored phenotype)
cutpoint	cutpoints for binary phenotype, default to be 0.5
fam	family of the phenotype, can be "continous", "binary", or "Cox"

Value

goodness of prediction

Examples

x <- rnorm(100)
y <- rnorm(100)
evaluate(x, y)

glmaag documentation built on May 10, 2019, 9:04 a.m.