mclcar (version 0.2-0)

summary.OptimMCL: Summary the output from the iterative procedure of maximising the Monte Carlo likelihood.

Description

This function summarizes the output of the output from the function OptimMCL.

Usage

# S3 method for OptimMCL
summary(object, family, trace.all = TRUE, mc.covar =
  TRUE, …)

Arguments

object

an OptimMCL object returned by OptimMCL.

family

a character takes value in "guass", "binom" and "poisson".

trace.all

an logic value tells whether the input object given by OptimMCL contains results from all iterations of not

mc.covar

if TRUE, the estimated covariance matrix of the MC-MLE is returned

…

arguments passed to or from other methods.

Value

A list containing the following objects:

MC.mle,

the final MC-MLE

N.iter,

the total number of iterations

total.time,

the total time elapsed

convergence,

if TRUE the procedure converges

hessian,

the Hessian at the MC-MLE if given; the default is NULL

mc.covar

the estimated covariance matrix of the MC-MLE if given; the default is NULL

mc.samples

the Monte Carlo samples size used in the initial stage and after the first convergence.

See Also

OptimMCL

Examples

# NOT RUN {
## See examples for OptimMCL
# }