p0 | R Documentation |
This function determines the centering density of the normalized random measure.
p0(x, distr = NULL, mu = NULL, sigma = NULL)
For internal use.
## The function is currently defined as
function(x, distr = NULL, mu = NULL, sigma = NULL) {
if (is.null(distr)) {
stop("Argument \"distr\" should be defined numeric with possible values 1,2, or 3")
}
else if (distr == 1) {
a <- ifelse(is.null(mu), 0, mu)
b <- ifelse(is.null(sigma), 1, sigma)
p0 <- dnorm(x, mean = a, sd = b)
}
else if (distr == 2) {
a <- ifelse(is.null(mu), 1, mu^2 / sigma^2)
b <- ifelse(is.null(sigma), 1, mu / sigma^2)
p0 <- dgamma(x, shape = a, rate = b)
}
else if (distr == 3) {
a <- ifelse(is.null(mu), 0.5, (1 - mu) * (mu / sigma)^2 -
mu)
b <- ifelse(is.null(sigma), 1 / sqrt(12), (mu * (1 - mu) / sigma^2 -
1) * (1 - mu))
if (any(c(a, b) <= 0)) {
stop(paste(
"\nNegative Beta parameters:\n a =", a,
";\t b =", b
))
}
p0 <- dbeta(x, shape1 = a, shape2 = b)
}
else {
stop("Argument \"distr\" should be defined numeric with possible values 1,2, or 3")
}
return(p0)
}
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