jlssc: Joint location-and-scale test

In jrs95/jlst: Joint location-and-scale tests

Joint location-and-scale test

Description

jlssc performs the joint location-and-scale score test.

Usage

jlssc(y, x, covar = NULL, type = 1, x.sq = FALSE, x.reg = TRUE)

Arguments

y	vector of outcome values
x	vector of exposure values
covar	data.frame of covariates
type	type of test, where 1 = Breusch-Pagan variance test, 2 = Brown-Forsythe variance test, 3 = Method of moments version of test 1, and 4 = Method of moments version of test 2] (default: 1)
x.sq	include x-squared in the model
x.reg	regress out the covariates from the exposure terms

Value

jlst returns a data.frame of results:

Q	the test statistic
DF	the degrees of freedom
P	the p-value

Author(s)

James Staley [e-mail]

Examples

x <- rbinom(1000, 1, 0.5)
y <- 0.5 + 0.025 * x + rnorm(1000, 0, sqrt(0.005 * x)) + rnorm(1000, 0, 0.1)
jlssc(y, x)

jrs95/jlst documentation built on Feb. 2, 2024, 3:19 p.m.