dpnorm: Stable evaluation of difference between normal c.d.f.s
In mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

dpnorm

R Documentation

Stable evaluation of difference between normal c.d.f.s

Description

Evaluates the difference between two N(0,1) cumulative distribution functions avoiding cancellation error.

Usage

dpnorm(x0,x1)

Arguments

`x0`	vector of lower values at which to evaluate standard normal distribution function.
`x1`	vector of upper values at which to evaluate standard normal distribution function.

Details

Equivalent to pnorm(x1)-pnorm(x0), but stable when x0 and x1 values are very close, or in the upper tail of the standard normal.

Author(s)

Simon N. Wood simon.wood@r-project.org

Examples

require(mgcv)
x <- seq(-10,10,length=10000)
eps <- 1e-10
y0 <- pnorm(x+eps)-pnorm(x) ## cancellation prone
y1 <- dpnorm(x,x+eps)       ## stable
## illustrate stable computation in black, and
## cancellation prone in red...
par(mfrow=c(1,2),mar=c(4,4,1,1))
plot(log(y1),log(y0),type="l")
lines(log(y1[x>0]),log(y0[x>0]),col=2)
plot(x,log(y1),type="l")
lines(x,log(y0),col=2)

mgcv documentation built on July 26, 2023, 5:38 p.m.