smRstr:

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

Usage

smRstr(x, y, fr = 1, est = tmean, nmin = 1, varfun = winvar, xout = FALSE, outfun = outpro, ...)

Arguments

x
y
fr
est
nmin
varfun
xout
outfun
...

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, fr = 1, est = tmean, nmin = 1, varfun = winvar, 
    xout = FALSE, outfun = outpro, ...) 
{
    xy = elimna(cbind(x, y))
    if (xout) {
        flag = outfun(x, plotit = FALSE)$keep
        xy = xy[flag, ]
    }
    p = ncol(xy)
    pm1 = p - 1
    x = xy[, 1:pm1]
    y = xy[, p]
    x = as.matrix(x)
    px = ncol(x)
    px1 = px + 1
    n = nrow(xy)
    val = NA
    for (i in 1:n) {
        if (px == 1) 
            val[i] = runhat(xy[-i, 1:px], xy[-i, px1], x[i, 1:px], 
                fr = fr, nmin = nmin, est = est)
        if (px > 1) 
            val[i] = rung3hat(xy[-i, 1:px], xy[-i, px1], pts = t(as.matrix(x[i, 
                1:px])), fr = fr, est = est, ...)$rmd
    }
    dif = y - val
    dif = elimna(dif)
    pe = varfun(dif)
    nopre = locCV(y, varfun = varfun, locfun = est, ...)
    rat = (nopre - pe)/nopre
    str = 0
    if (rat > 0) 
        str = sqrt(rat)
    list(str = str, pred.error = pe)
  }

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