regYciCV:

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

Usage

regYciCV(n, alpha = 0.05, nboot = 1000, regfun = tsreg, SEED = TRUE, MC = FALSE, null.value = 0, xout = FALSE, ...)

Arguments

n
alpha
nboot
regfun
SEED
MC
null.value
xout
...

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 (n, alpha = 0.05, nboot = 1000, regfun = tsreg, SEED = TRUE, 
    MC = FALSE, null.value = 0, xout = FALSE, ...) 
{
    if (SEED) 
        set.seed(2)
    mv = NA
    chk = 0
    if (MC) 
        library(parallel)
    xy = list()
    for (i in 1:nboot) xy[[i]] = rmul(n)
    if (!MC) 
        est = lapply(xy, regciCV.sub, regfun = regfun, null.value = null.value, 
            ...)
    if (MC) 
        est = mclapply(xy, regciCV.sub, regfun = regfun, null.value = null.value, 
            ...)
    est = as.vector(matl(est))
    est = sort(est)
    ic = round(alpha * nboot)
    crit = est[ic]
    crit
  }

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