print.glmMIC: The Generic 'print' Function for Object of 'glmMIC' Class

In xgsu/glmMIC: Sparse Estimation of Generalized Linear Models (GLM) via Minimum approximated Inforamtion Criterion (MIC)

Description

The Generic print Function for Object of glmMIC Class

Usage

## S3 method for class 'glmMIC'
print(fit, digits = max(3L, getOption("digits") - 3L), ...)

Arguments

fit	an object of glmMIC class.
digits	the minimal number of significant digits. See print.default.
...	further arguments passed to or from other methods.

Details

The (generic) print method for an glmMIC object. The results include info on the estimated gamma and beta. Depending on the options, significance testing and confidence intervals are also provided.

Value

The table of estimated regression coefficients beta and the reparameterized gamma.

References

• Su, X. (2015). Variable selection via subtle uprooting. Journal of Computational and Graphical Statistics, 24(4): 1092–1113. URL http://www.tandfonline.com/doi/pdf/10.1080/10618600.2014.955176

• Su, X., Fan, J., Levine, R. A., Nunn, M. E., and Tsai, C.-L. (2016+). Sparse estimation of generalized linear models via approximated information criteria. Submitted, Statistica Sinica.

#' @seealso glmMIC

xgsu/glmMIC documentation built on May 4, 2019, 1:06 p.m.