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sparsereg (version 1.2)

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

Description

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

Usage

"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

Run this code

## 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)

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