grp_lasso_st: Description of the function
In Marie-PerrotDockes/ModQTL:

Description Usage Arguments Value Examples

Description of the function

1	grp_lasso_st(X, Y, group, nb.cores = 7, B = 500, PFER = 1)

`group`	a vector with two levels. (The group of the ANCOVA)
`response`	a vector response variable
`regressors`	a quantitative matrix of regressor
`a`	the parameters that indicate how much the coefficients will be fused
`lambda`	if the user wants to use it owns values of lambdas

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

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)