print.sparsereg: A summary of the estimated posterior mode of each parameter.

In sparsereg: Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data

Description

The funciton prints a summary of the estimated posterior mode of each parameter.

Usage

## S3 method for class 'sparsereg'
print(x,... )

Arguments

x	Object of class sparsereg.
...	Additional arguments to pass to print. None supported in this version.

Details

Uses the summary function from the package coda to return a summary of the posterior mode of a sparsereg object.

References

Ratkovic, Marc and Tingley, Dustin. 2015. "Sparse Estimation with Uncertainty: Subgroup Analysis in Large Dimensional Design." Working paper.

See Also

sparsereg, plot.sparsereg, summary.sparsereg, violinplot, difference

Examples

## Not run: 
 set.seed(1)
 n<-500
 k<-100
 Sigma<-diag(k)
 Sigma[Sigma==0]<-.5
 X<-mvrnorm(n,mu=rep(0,k),Sigma=Sigma)
 y.true<-3+X[,2]*2+X[,3]*(-3)
 y<-y.true+rnorm(n)



##Fit a linear model with five covariates.
 s1<-sparsereg(y,X[,1:5])
 print(s1)

## End(Not run)

sparsereg documentation built on May 1, 2019, 7:28 p.m.