Version 1.0.1 (23/07/2025):
- doc: missing pkg in \link
- linting

Version 1.0.0 (15/03/2023):
- JSS article

Version 0.6.7 (17/05/2022):
- update print methods
- debug formula version
- inherits instead of class

Version 0.6.6 (24/08/2021):
- bug: manage when all p-values are NaN
- add checks and example for predict function

Version 0.6.5 (11/11/2020):
- add addRoot argument in HMT, hierarchicalFWER, hierarchicalFDR functions
- add Shaffer argument in HMT function
- change maintainer's email

Version 0.6.1 (30/12/2019):
- remove a print
- add missing argument when calling .checkParameters function

Version 0.6 (01/12/2019):
- perform bootstrap for hierarchical clustering
- add sizeMaxGroup argument to MLGL, cv.MLGL functions
- threshold is correctly plotted in plot.stability

Version 0.5 (24/09/2018):
- documentation correction
- update DESCRIPTION file with authors
- add print and summary functions for MLGL
- add plot, print and summary functions for fullProcess
- add a formula version of MLGL and fullProcess functions
- add HMT function with plot, pritn and summary
- remove logistic loss from fullProcess and remove test for logistic problem

Version 0.4 (14/01/2017):
- add logistic loss in MLGL, cv.MLGL, stability and overlap
- add test for logistic loss
- add logistic loss in fullProcess
- add sample size parameter in fullProcess

Version 0.3.2 (30/09/2016):
- optimization of hierarchicalFWER

Version 0.3.1 (22/09/2016):
- bug correction in hierarchicalFWER
- optimization of fullProcess

Version 0.3 (09/09/2016):
- rename the package into MLGL
- change name of functions including "HCgglasso"

Version 0.2.5 (25/08/2016):
- change parameters of selFDR and selFWER functions

Version 0.2.4 (01/08/2016):
- add hierarchical testing procedure
- add fullProcess function performing HC + Glasso + Hierarchical Testing
- correction in stability.HCgglasso for the generation of lambda values

Version 0.2.3 (20/01/2016):
- change the level information in HCgglasso structure output

Version 0.2.2 (06/10/2015):
- correction for infinite weight in weightLevelGroup
- use hclust from fastcluster package
- update documentation

Version 0.2.1:
- in levelMinWeight function, change minLevelWeight in sqrt(minLevelWeight)

Version 0.2:
- first version of HCgglasso
