Description Value Methods Examples
Description of the function
Description of the function
The coefficients of the fused lasso ANCOVA for the different value of lambda
new()
VariSel$new( x, y, univ = TRUE, Sigma_12inv = diag(1, ncol(as.data.frame(y))), sepy = "__", sepx = NULL )
estime()
VariSel$estime()
predict()
VariSel$predict(new_x, lambda = NULL, ...)
lambda
if the user wants to use it owns values of lambdas
get_coef()
VariSel$get_coef()
plot_path()
VariSel$plot_path(type = "first", nb = 6)
plot_error()
VariSel$plot_error(print = TRUE)
plot_BIC()
VariSel$plot_BIC(print = TRUE)
plot_coef()
VariSel$plot_coef(tresh, sel = colnames(private$y))
ROC()
VariSel$ROC(b)
plot_anime()
VariSel$plot_anime(name_pos = NULL, num_max = 30)
plot_cv()
VariSel$plot_cv(sel = colnames(private$y), s = "lambda.min")
clone()
The objects of this class are cloneable with this method.
VariSel$clone(deep = FALSE)
deep
Whether to make a deep clone.
1 2 3 4 5 6 7 8 9 | B <- c(1, -1, 1.5, 1.5, rep(0, 6), 2, 0, 2, 0)
group <- c(rep('M1', 10), rep('M2', 10))
regressors <- matrix(rnorm(6*20), ncol = 6)
X <- model.matrix(~group + group:regressors - 1)
y <- X%*%B + rnorm(20)
y <- scale(y)
mod <- fl2(y, regressors, group)
colors <- c(rep("grey",2), rep('green',2),rep('black', 6), rep(c("orange","blue"), 2), 'darkgreen', rep('yellow',3), rep('purple',2))
matplot(mod$lambda ,t(mod$beta),type='l',col=colors)
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