R: Return number of iterations for iterative models

nIter {maxLik} | R Documentation

## 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)

[Package maxLik version 1.3-4 Index]