AD.regression: Anderson-Darling statistic for regression

In LiYao-sfu/EDFtest: Goodness of Fit Based on Empirical Distribution Function

Usage

AD.normal.regression(y, x, fit.intercept = TRUE)

AD.gamma.regression(y, x, fit, fit.intercept = TRUE, link = "log")

AD.logistic.regression(y, x, fit.intercept = TRUE)

AD.laplace.regression(y, x, fit.intercept = TRUE)

AD.weibull.regression(y, x, fit.intercept = TRUE)

AD.extremevalue.regression(
  y,
  x,
  parameter = estimate.extremevalue.regression(y, x)
)

AD.exp.regression(y, x, fit, fit.intercept = TRUE, link = "log")

AD.extremevalue.regression(
  y,
  x,
  parameter = estimate.extremevalue.regression(y, x)
)

Arguments

y	response variable
x	explanatory variables
parameter	estimates of regression parameters

LiYao-sfu/EDFtest documentation built on Dec. 18, 2021, 4:35 a.m.