maxLik (version 0.5-6)

summary.maxLik: summary the Maximum-Likelihood estimation

Description

Summary the Maximum-Likelihood estimation including standard errors and t-values.

Usage

## S3 method for class 'maxLik':
summary(object, eigentol=1e-12, ... )

Arguments

object

object of class 'maxLik', most probably a result from Maximum-Likelihood estimation.

eigentol

nonzero print limit on the range of the absolute values of the hessian. Specifically, define:

absEig <- eigen(hessian(object), symmetric=TRUE)[['values']]

Then compute and print t values, p values, etc. only if min(absEig) > (eigentol *

...

currently not used.

Value

• object of class 'summary.maxLik' with following components:
• type
  type of maximisation.
• iterations
  number of iterations.
• code
  code of success.
• message
  a short message describing the code.
• loglik
  the loglik value in the maximum.
• estimate
  numeric matrix, the first column contains the parameter estimates, the second the standard errors, third t-values and fourth corresponding probabilities.
• activePar
  logical vector, which parameters are treated as free.
• NActivePar
  number of free parameters.

See Also

maxLik

Examples

## ML estimation of exponential duration model:
t <- rexp(100, 2)
loglik <- function(theta) log(theta) - theta*t
gradlik <- function(theta) 1/theta - t
hesslik <- function(theta) -100/theta^2
## Estimate with numeric gradient and hessian
a <- maxLik(loglik, start=1, print.level=2)
summary(a)
## Estimate with analytic gradient and hessian
a <- maxLik(loglik, gradlik, hesslik, start=1)
summary(a)