isrm.plot: ISRM and m-scale Plot

In lmridge: Linear Ridge Regression with Ridge Penalty and Ridge Statistics

ISRM and m-scale Plot

Description

Plot of m-scale and ISRM against scalar or vector values of biasing parameter K (Vinod, 1976 <doi: 10.1080/01621459.1976.10480955>).

Usage

isrm.plot(x, ...)

Arguments

x	An object of class "lmridge".
...	Not presently used in this implementation.

Details

The isrm.plot function can be used to plot the values of m-scale and ISRM against given list (scalar or vector values) of biasing parameter K as argument to lmridge. It can be helpful for the optimal selection of the biasing parameter K.

Value

Nothing returned

Author(s)

Muhammad Imdad Ullah, Muhammad Aslam

References

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

Vinod, H. (1976). Application of New Ridge Regression Methods to a Study of Bell System Scale Economics. Journal of the American Statistical Association, 71, 835–841. doi: 10.2307/2286847.

See Also

The ridge model fitting lmridge, ridge CV and GCV plots cv.plot, ridge AIC and BIC plots info.plot, variance bias trade-off plot bias.plot, ridge and VIF trace plot.lmridge, miscellaneous ridge plotsrplots.plot

Examples

mod <- lmridge(y~., as.data.frame(Hald), K = seq(0, 0.2, 0.002))

isrm.plot(mod)
isrm.plot(mod, abline=FALSE)

lmridge documentation built on Jan. 15, 2023, 5:06 p.m.