Nothing

```
WPts <-
function(x, levs, indices, filter.number=1, family="DaubExPhase")
{
#
# Computes wavelet packet test statistic on time series x
#
# On wavelet packets indexed by levels in levs and indices in indices.
#
#
# Compute nondecimated wavelet packet transform on series
#
xwpst <- wpst(x, filter.number=filter.number, family=family)
#
# See how many levels and indices we have to compute the statistic on
# and do some other argument checking (ie levels are positive and < J)
#
nlev <- length(levs)
nind <- length(indices)
if (nlev != nind)
stop("Number of levels and number of indices has to be the same")
J <- nlevelsWT(xwpst)
if (any(levs < 0))
stop("All levels have to be >= 0")
if (any(levs >= J))
stop("All levels have to be < log_2(n)")
#
# Now check that indices for each level are correct
#
for(i in 1:nlev) {
newlev <- J - levs[i]
maxix <- 2^newlev
if (indices[i] < 0)
stop("All indices have to be >= 0")
if (indices[i] >= maxix)
stop(paste("Index ", indices[i], " is invalid for level ", levs[i], ". Max index is: ", maxix-1))
}
#
# Now compute and return test statistic
#
the.ts <- 0
for(i in 1:nlev) {
xwp <- accessD(xwpst, level=levs[i], index=indices[i])^2
the.ts <- the.ts + var(xwp)
}
the.ts <- the.ts/nlev
return(the.ts)
}
```

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