regse:

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

Usage

regse(x, y, xout = FALSE, regfun = tsreg, outfun = outpro, nboot = 200, SEED = TRUE, ...)

Arguments

x
y
xout
regfun
outfun
nboot
SEED
...

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, y, xout = FALSE, regfun = tsreg, outfun = outpro, 
    nboot = 200, SEED = TRUE, ...) 
{
    if (SEED) 
        set.seed(2)
    x <- as.matrix(x)
    p1 <- ncol(x) + 1
    p <- ncol(x)
    xy <- cbind(x, y)
    xy <- elimna(xy)
    x <- xy[, 1:p]
    y <- xy[, p1]
    nrem = length(y)
    estit = regfun(x, y, xout = xout, ...)$coef
    if (xout) {
        m <- cbind(x, y)
        flag <- outfun(x, plotit = FALSE, ...)$keep
        m <- m[flag, ]
        x <- m[, 1:p]
        y <- m[, p1]
    }
    x <- as.matrix(x)
    if (SEED) 
        set.seed(2)
    data <- matrix(sample(length(y), size = length(y) * nboot, 
        replace = TRUE), nrow = nboot)
    bvec <- apply(data, 1, regboot, x, y, regfun, xout = FALSE, 
        ...)
    sqe = var(t(bvec))
    list(param.estimates = estit, covar = sqe, s.e. = sqrt(diag(sqe)))
  }

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