momci:

In musto101/wilcox_R: What the package does (short line)

Usage

momci(x, alpha = 0.05, nboot = 2000, bend = 2.24, SEED = TRUE, null.value = 0)

Arguments

x
alpha
nboot
bend
SEED
null.value

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (x, alpha = 0.05, nboot = 2000, bend = 2.24, SEED = TRUE, 
    null.value = 0) 
{
    if (SEED) 
        set.seed(2)
    data <- matrix(sample(x, size = length(x) * nboot, replace = TRUE), 
        nrow = nboot)
    est = mom(x, bend = bend)
    bvec <- apply(data, 1, mom, bend)
    bvec <- sort(bvec)
    low <- round((alpha/2) * nboot)
    up <- nboot - low
    low <- low + 1
    pv = mean(bvec > null.value) + 0.5 * mean(bvec == null.value)
    pv = 2 * min(c(pv, 1 - pv))
    list(ci = c(bvec[low], bvec[up]), p.value = pv, est.mom = est)
  }

musto101/wilcox_R documentation built on May 23, 2019, 10:52 a.m.