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# Computation of EWMA ARLs (variance monitoring) with pre-run uncertainty
sewma.arl.prerun <- function(l, cl, cu, sigma, df1, df2, hs=1, sided="upper", r=40, qm=30, qm.sigma=30, truncate=1e-10) {
if ( l<=0 || l>1 )
stop("l has to be between 0 and 1")
if ( cl<0 )
stop("cl has to be non-negative")
if ( cu<=0 )
stop("cu has to be positive")
if ( sigma<=0 )
stop("sigma must be positive")
if ( df1<1 )
stop("df1 must be larger than or equal to 1")
if ( df2<1 )
stop("df2 must be larger than or equal to 1")
if ( hs<cl | hs>cu )
stop("wrong headstart")
ctyp <- pmatch(sided, c("upper", "Rupper", "two", "Rlower")) - 1
if (is.na(ctyp))
stop("invalid ewma type")
if ( r<10 )
stop("r is too small")
if ( qm<10 )
stop("qm is too small")
if ( qm.sigma<4 )
stop("qm.sigma is too small")
if ( truncate < 0 | truncate >= 0.5 )
stop("wrong value for truncate (should follow 0 < truncate < 0.5)")
arl <- .C("sewma_arl_prerun", as.integer(ctyp), as.double(l),
as.double(cl), as.double(cu), as.double(hs),
as.double(sigma), as.integer(df1), as.integer(r), as.integer(qm),
as.integer(df2), as.integer(qm.sigma), as.double(truncate),
ans=double(length=1),PACKAGE="spc")$ans
names(arl) <- "arl"
return (arl)
}
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