| isrm.plot {lmridge} | R Documentation |
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)