summary.simul.lmp {normalp}

Summarize simulation results on linear regression model

Description

This function is the summary method for class "simul.lmp". This function produces a set of results for a simulation plan for a linear regression model with errors distributed as an exponential power distribution.

Usage

## S3 method for class 'simul.lmp'
summary(object, ...)
## S3 method for class 'summary.simul.lmp'
print(x, ...)

Arguments

object

An object of class "simul.lmp", a result of a call to simul.lmp.

x

An object of class "summary.simul.lmp", usually a result of a call to summary.simul.lmp.

...

Further arguments passed to or from other methods.

Value

This function returns this information:

Results

Table containing the simulation results.

Coefficients

The true values of coefficients used on the simulation model.

Formula

The used linear regression model.

Number of samples

Number of samples generated.

Value of p

Value of the shape parameter p used to draw the samples.

Number of samples with problems on convergence

If p is estimated, we have information on the number of samples with problems on convergence.

Author(s)

Angelo M. Mineo

Examples

ris<-simul.lmp(100,20,2,data=c(3,2),int=0,sigmap=1,p=3)
summary(ris)