# NOT RUN {
## A simple example with sin(x)' = cos(x)
f <- function(x)c(sin=sin(x))
Dsin <- compareDerivatives(f, cos, t0=c(angle=1))
##
## Example of normal log-likelihood. Two-parameter
## function.
##
x <- rnorm(100, 1, 2) # generate rnorm x
l <- function(b) sum(dnorm(x, mean=b[1], sd=b[2], log=TRUE))
gradl <- function(b) {
c(mu=sum(x - b[1])/b[2]^2,
sigma=sum((x - b[1])^2/b[2]^3 - 1/b[2]))
}
gradl. <- compareDerivatives(l, gradl, t0=c(mu=1,sigma=2))
##
## An example with f returning a vector, t0 = a scalar
##
trig <- function(x)c(sin=sin(x), cos=cos(x))
Dtrig <- function(x)c(sin=cos(x), cos=-sin(x))
Dtrig. <- compareDerivatives(trig, Dtrig, t0=1)
# }
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