Aliases: glance.ridgelm
Keywords:
### ** Examples # feel free to ignore the following lineāit allows {broom} to supply # examples without requiring the model-supplying package to be installed. if (requireNamespace("MASS", quietly = TRUE)) { # load libraries for models and data library(MASS) names(longley)[1] <- "y" # fit model and summarizd results fit1 <- lm.ridge(y ~ ., longley) tidy(fit1) fit2 <- lm.ridge(y ~ ., longley, lambda = seq(0.001, .05, .001)) td2 <- tidy(fit2) g2 <- glance(fit2) # coefficient plot library(ggplot2) ggplot(td2, aes(lambda, estimate, color = term)) + geom_line() # GCV plot ggplot(td2, aes(lambda, GCV)) + geom_line() # add line for the GCV minimizing estimate ggplot(td2, aes(lambda, GCV)) + geom_line() + geom_vline(xintercept = g2$lambdaGCV, col = "red", lty = 2) }