Rmpfr (version 0.5-7)

mpfr-distr-etc: Distribution Functions etc (MPFR)

Description

For some Rstandard (probability) density, distribution or quantile functions, we provide MPFR versions.

Usage

dpois (x, lambda, log = FALSE)
dbinom(x, size, prob, log = FALSE)
dnorm (x, mean = 0, sd = 1, log = FALSE)
pnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)

Arguments

x,q, lambda, size,prob, mean,sd

numeric or mpfr vectors. All of these are recycled to the length of the longest one.

log, log.p, lower.tail

logical, see pnorm, dpois, etc.

Value

• A vector of the same length as the longest of x,q, ..., of class mpfr with the high accuracy results of the corresponding standard Rfunction.

Details

pnorm() is based on erf() and erfc() which have direct MPFR counter parts and are both reparametrizations of pnorm, erf(x) = 2*pnorm(sqrt(2)*x) and erfc(x) = 2* pnorm(sqrt(2)*x, lower=FALSE).

See Also

pnorm, dbinom, dpois in standard package stats.

pbetaI(x, a,b) is a mpfr version of pbeta only for integer a and b.

Examples

x <- 1400+ 0:10
print(dpois(x, 1000), digits =18) ## standard R's double precision
dpois(mpfr(x, 120), 1000)## more accuracy for the same