nIter: Return number of iterations for iterative models

In maxLik: Maximum Likelihood Estimation and Related Tools

Return number of iterations for iterative models

Description

Returns the number of iterations for iterative models. The default method assumes presence of a component iterations in x.

Usage

nIter(x, ...)
## Default S3 method:
nIter(x, ...)

Arguments

x	a statistical model, or a result of maximisation, created by maxLik, maxNR or another optimizer.
...	further arguments for methods

Details

This is a generic function. The default method returns the component x$iterations.

Value

numeric, number of iterations. Note that ‘iteration’ may mean different things for different optimizers.

Author(s)

Ott Toomet

See Also

maxLik, maxNR

Examples

## Estimate the exponential distribution parameter:
t <- rexp(100, 2)
loglik <- function(theta) sum(log(theta) - theta*t)
## Estimate with numeric gradient and numeric Hessian
a <- maxNR(loglik, start=1)
nIter(a)

maxLik documentation built on May 29, 2024, 2:32 a.m.