print.modelSampler: Print summary output from modelSampler

In tanujitdey/modelSampler: A unique tool for variable selection and model exploration in linear regression model

Description

modelSampler returns an object to get several outputs.

Usage

    print.modelSampler(x,...)

Arguments

x	An object of class modelSampler, created by the function modelSampler. See below.
...	Further arguments passed to or from other methods.

Details

Prints model size specific FPE values, namely; minimum residual sum of squares, minimum AIC and minimum BIC. Prints variables selected by FPE criteria AIC and BIC. Also prints posterior inclusion probabilities of each variable and top models (based on R^2 value) stratified by size.

Author(s)

Tanujit Dey [e-mail]

References

Dey, T. (2013). modelSampler: An R Tool for Variable Selection and Model Exploration in Linear Regression. Journal of Data Science, 11(2), 371-387.

See Also

boot.modelSampler, modelSampler, plot.modelSampler, print.boot.modelSampler, plot.icicle, plot.FPE, plot.var.stability, plot.ooberror.

Examples

  data(Pollute, package = "modelSampler") 
  ms.out <- modelSampler(MortRate~., Pollute, n.iter1=2500, 
  n.iter2=2500, verbose=TRUE)
  print.modelSampler(ms.out)

tanujitdey/modelSampler documentation built on May 5, 2019, 11:01 p.m.