Nothing
"lmomst3" <-
function(para, bypoly=TRUE) {
if(! are.parst3.valid(para)) return()
U <- para$para[1]
A <- para$para[2]
N <- para$para[3]
SMALL.NU <- 1.000001 # arrived from manual experiments
LARGE.NU <- 1000 # limits of experiments yielding the polynomial
if(N < SMALL.NU) N <- SMALL.NU
if(N > LARGE.NU) N <- LARGE.NU
L1 <- U
L2 <- 2^(6-4*N)*pi*A*sqrt(N)*exp(lgamma(2*N - 2) - 4*lgamma(N/2))
TAU3 <- 0
TAU4 <- NA
TAU5 <- 0
"poly6" <- function(t4) {
b <- 0.001599337
ce <- c( 0.085903249, 2.749217116, -6.723564788, 13.445446378,
-17.717402013, 14.586006328, -6.788165377, 1.360977224)
t6 <- b + ce[1]*t4^1 + ce[2]*t4^2 + ce[3]*t4^3 + ce[4]*t4^4 +
ce[5]*t4^5 + ce[6]*t4^6 + ce[7]*t4^7 + ce[8]*t4^8
return(t6)
}
if(bypoly) {
"polyt4" <- function(nu) {
lnu <- log(nu)
b <- -6.962256e-04
ce <- c(-1.812284e+00, 6.299075e-01, -6.859132e-02, -2.266309e-02,
9.921283e-03, -1.651713e-03, 1.342971e-04, -4.399008e-06)
lgt4 <- b + ce[1]*lnu^1 + ce[2]*lnu^2 + ce[3]*lnu^3 + ce[4]*lnu^4 +
ce[5]*lnu^5 + ce[6]*lnu^6 + ce[7]*lnu^7 + ce[8]*lnu^8
tau4 <- exp(lgt4)
return(tau4)
}
TAU4 <- polyt4(N)
} else if(N >= LARGE.NU) { # treat as a normal distribution
TAU4 <- 30/pi * atan(sqrt(2)) - 9
} else {
TAU4 <- (15/2)*exp(lgamma(N) - lgamma(1/2) - lgamma(N - 1/2))
afunc <- function(x) {
AA <- 1/sqrt(x) * (1 - x)^(N - (3/2)) * pbeta(x, 0.5, N/2)^2
return(AA)
}
int <- NULL
try(int <- integrate(afunc, 0, 1), silent=TRUE)
if(is.null(int)) {
warning("Bad integration")
} else {
TAU4 <- TAU4 * int$value - (3/2)
if(TAU4 >= 1) TAU4 <- NA
}
}
TAU6 <- poly6(TAU4)
lam <- c(L1, L2, TAU3*L2, TAU4*L2, TAU5*L2, TAU6*L2)
rat <- c(NA, L2/L1, TAU3, TAU4, TAU5, TAU6)
names(rat) <- NULL
names(lam) <- NULL
zz <- list(lambdas=lam, ratios=rat,
trim=0, leftrim=NULL, rightrim=NULL,
source="lmomst3")
return(zz)
}
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