grpLassoQTL: Give the result for a group lasso
In Marie-PerrotDockes/ModQTL:

Description Usage Arguments Value Examples

Give the result for a group lasso

1 2	grpLassoQTL(X, Y, marker, map, PFER = 1, B = 500, cutoff = 0.85, nb.cores, sep = "\\.", mrk2lg, type_group = "both")

`X`	a matrix with the value of different allele for different Marker
`Y`	a vector or a matrix with the values of different Trait
`type_group`	a character indicating the way of creating the group : "both" means that the variable are selected for all a Marker for all the Trait. "marker" means that the variable are selected for a Marker but for one Trait. "trait" means that a variable are selected for all the Trait but not for all the marker but just for one allele
`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)