summary.simul.lmp: Summarize simulation results on linear regression model

In normalp: Routines for Exponential Power Distribution

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)

normalp documentation built on Feb. 14, 2020, 5:08 p.m.