storedValues: Return the stored values of optimization
In maxLik: Maximum Likelihood Estimation and Related Tools

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

Retrieve the objective function value for each iteration if stored during the optimization.

storedValues(x, ...)
## S3 method for class 'maxim'
storedValues(x, ...)
storedParameters(x, ...)
## S3 method for class 'maxim'
storedParameters(x, ...)

`x`	a result of maximization, created by `maxLik`, `maxSGA` or another optimizer.
`...`	further arguments for other methods

These is a generic method. If asked by control parameter storeValues=TRUE or storeParameters=TRUE, certain optimization methods store the objective function value and the parameter value at each epoch. These methods retrieves the stored values.

storedValues: a numeric vector, one value for each iteration
storedParameters: a numeric matrix with rows corresponding to the iterations and columns to the parameter components.

In both cases, the first value stored corresponds to the initial parameter.

Ott Toomet

maxSGA, maxControl

## Estimate the exponential distribution parameter
t <- rexp(100, 2)
loglik <- function(theta, index) sum(log(theta) - theta*t[index])
## Estimate with numeric gradient and numeric Hessian
a <- maxSGA(loglik, start=1,
            control=list(storeValues=TRUE, storeParameters=TRUE, iterlim=10),
            nObs=100)
storedValues(a)
storedParameters(a)