closed.testing: Closed testing procedure

View source: R/multipletesting.R

closed.testingR Documentation

Closed testing procedure

Description

Closed testing procedure

Usage

closed.testing(
  object,
  idx = seq_along(coef(object)),
  null = rep(0, length(idx)),
  ...
)

Arguments

object

estimate object

idx

Index of parameters to adjust for multiple testing

null

Null hypothesis value

...

Additional arguments

Examples

m <- lvm()
regression(m, c(y1,y2,y3,y4,y5,y6,y7)~x) <- c(0,0.25,0,0.25,0.25,0,0)
regression(m, to=endogenous(m), from="u") <- 1
variance(m,endogenous(m)) <- 1
set.seed(2)
d <- sim(m,200)
l1 <- lm(y1~x,d)
l2 <- lm(y2~x,d)
l3 <- lm(y3~x,d)
l4 <- lm(y4~x,d)
l5 <- lm(y5~x,d)
l6 <- lm(y6~x,d)
l7 <- lm(y7~x,d)

(a <- merge(l1,l2,l3,l4,l5,l6,l7,subset=2))
if (requireNamespace("mets",quietly=TRUE)) {
   p.correct(a)
}
as.vector(closed.testing(a))


kkholst/lava documentation built on Nov. 4, 2022, 6:21 a.m.