mod_group: Description of the function

In Marie-PerrotDockes/VariSel: Perform variable selection for different model types

Description

Description of the function

Description of the function

Value

The coefficients of the fused lasso ANCOVA for the different value of lambda

Super class

VariSel::VariSel -> mod_group

Methods

Public methods

• mod_group$estime()

• mod_group$sel_cv()

• mod_group$sel_stab()

• mod_group$get_coef()

• mod_group$clone()

Inherited methods

• VariSel::VariSel$initialize()

• VariSel::VariSel$plot_anime()

• VariSel::VariSel$plot_BIC()

• VariSel::VariSel$plot_coef()

• VariSel::VariSel$plot_cv()

• VariSel::VariSel$plot_error()

• VariSel::VariSel$plot_path()

• VariSel::VariSel$predict()

• VariSel::VariSel$ROC()

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Method estime()

Usage

mod_group$estime(lambda = NULL)

Arguments

lambda

if the user wants to use it owns values of lambdas

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Method sel_cv()

Usage

mod_group$sel_cv(s = "lambda.min")

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Method sel_stab()

Usage

mod_group$sel_stab(nb.cores = 7, B = 500, PFER = 1)

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Method get_coef()

Usage

mod_group$get_coef()

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Method clone()

The objects of this class are cloneable with this method.

Usage

mod_group$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

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)
#' @import R6 Matrix gglasso tidyverse glmnet stabs magrittr viridis stringr

Marie-PerrotDockes/VariSel documentation built on May 7, 2020, 1:09 a.m.