README.md

In ViniciusBRodrigues/GLMdiagnostic: GLM diagnostic

GLMdiagnostic (biodata package)

This package generates plots for Generalized Linear Model diagnostics, such as Q-Q plot, Residuals vs Fitted, Histogram of Residuals and Cook's distance plot.

Usage

The two main functions are modeldiagnostic1(fit) (Q-Q plot, Residuals vs Fitted) and modeldiagnostic2(fit) (Histogram of Residuals and Cook's distance plot).

Examples

varY<-c(0,10,20,30,40,50,20,30,43,28) varX1<-c(0,11,22,31,44,50,24,34,12,45) varX2<-c("A","B","A","B","C","C","A","B","C","A") data<-data.frame(varY,varX1,varX2) fit <- glm( varY ~ varX1 * varX2, data = data ) modeldiagnostic1(fit) modeldiagnostic2(fit)

This package is a fork from RT4BIO package (Ronaldo Reis Junior, Gladson Ramon Alves Borges and Magnel Lima de Oliveira and sjPlot package (Daniel Lüdecke and Carsten Schwemmer).

ViniciusBRodrigues/GLMdiagnostic documentation built on Jan. 9, 2023, 8:58 p.m.