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,
  return.all = FALSE,
  ...
)

Arguments

object

estimate object

idx

Index of parameters to adjust for multiple testing

null

Null hypothesis value

return.all

If TRUE details on all intersection hypotheses are returned

...

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))


lava documentation built on May 29, 2024, 3:10 a.m.