plot.infoliu: Model Selection Criteria Plots
In liureg: Liu Regression with Liu Biasing Parameters and Statistics

Description Usage Arguments Details Value Author(s) References See Also Examples

Plot of the Liu AIC and BIC model selection criteria against Liu degrees of freedom.

1 2	## S3 method for class 'infoliu' plot(x, abline = TRUE, ...)

`x`	An object of class "liu".
`abline`	Vertical line to show minimum value of Liu MSE at certain of Liu degrees of freedom.
`...`	Not presently used in this implementation.

Plot of the Liu AIC and BIC against the Liu degree of freedom (sum of diagonal elements of the Liu Hat matrix). A vertical line represents the minimum Liu MSE at certain value of the Liu degree of freedom.

Nothing returned

Muhammad Imdad Ullah, Muhammad Aslam

Akaike, H. (1974). A new look at the Statistical Model Identification. IEEE Transaction on Automatic Control, 9(6), 716–723. https://doi.org/10.1109/TAC.1974.1100705.

Imdad, M. U. (2017). Addressing Linear Regression Models with Correlated Regressors: Some Package Development in R (Doctoral Thesis, Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan).

Imdadullah, M., Aslam, M., and Altaf, S. (2017). liureg: A comprehensive R Package for the Liu Estimation of Linear Regression Model with Collinear Regressors. The R Journal, 9 (2), 232–247.

Schwarz, G. (1978). Estimating the Dimension of a Model. Annals of Statistics, 6(2), 461–464. https://projecteuclid.org/euclid.aos/1176344136.

Liu model fitting liu, Liu residuals residuals.liu, Liu PRESS press.liu, Testing of Liu Coefficients summary.liu, bias variance trade-off plot.biasliu

mod<- liu(y~., as.data.frame(Hald), d = seq(-5, 5, 0.1))
## for indication of minimum MSE at Liu df (as vertical line)
plot.infoliu(mod)

## without vertical line
plot.infoliu(mod, abline = FALSE)