nIter: Return number of iterations for iterative models
In maxLik: Maximum Likelihood Estimation and Related Tools

Description Usage Arguments Details Value Author(s) See Also Examples

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

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

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

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

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

Ott Toomet

maxLik, maxNR

## 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)

Loading required package: miscTools

Please cite the 'maxLik' package as:
Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.

If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
https://r-forge.r-project.org/projects/maxlik/
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