Changes in version 1.2.0 (2026-02-27)                  

    o   The RAVA-FIRST pipeline is now available for data in build 38. Please check the *build* argument.

    o   CADD regions and corresponding information is available at https://lysine.univ-brest.fr/RAVA-FIRST/

                        Changes in version 1.1.4                        

    o   Fix multiple mistakes in the package

    o   Addition of a running example for RAVA-FIRST

                 Changes in version 1.1.0 (2022-06-01)                  

    o   RAVA-FIRST:
	*Indels are now considered when computed the median adjusted CADD scores in each CADD region
	*Indels can be annotated and analysed using the RAVA-FIRST strategy

                 Changes in version 1.0.0 (2021-10-19)                  

    o   Analysis using the RAVA-FIRST stratgey by CADD regions:
	*Used RAVA.FIRST() to run the whole RAVA-FIRST strategy
	*Three files with adjusted CADD scores, CADD regions and Functional categories are available at https://lysine.univ-brest.fr/RAVA-FIRST/ and directly downoladed in Ravages repository if RAVA-FIRST functions are used
	*Variants can be annotated into CADD regions and genomic categories (set.CADDregions)
	*Possilibity to annotate variants with the adjusted CADD score and to filter them based on the median observed in each CADD region (filter.adjustedCADD)
	*Possibility to perform burden tests with subscores in the regression to take into account the genomic categories (burden.subscores)

    o   Parallelisation of burden on continuous phenotypes

    o   get.effect.size replaces get.OR.values in burden() and enables to get the beta estimate for continuous phenotypes

    o   Add the possibility to filter genomic regions based on the cumulative MAF (min.cumulative.maf)

    o   Simulations: 
	*random.bed.matrix() is now rbm.GRR()
	*rbm.haplos.power() and rbm.GRR.power() are available to directly compute power of CAST, WSS and SKAT on the corresponding simulations
	*CAST power can be computed using theoretical computations in rbm.GRR.power() 

                 Changes in version 0.1.5 (2021-05-12)                  

    o   Fix bugs with tinythreads and RcppParallel in SKAT

                 Changes in version 0.1.2 (2021-03-16)                  

    o   Parallelisation of SKAT on continuous phenotypes

    o   Minor bugs corrected :

    o   SKAT() with continuous phenotypes can be run only if at least 2 variants in the genomic region

    o   Cleaning temporary files in functions called by mclapply to optimise memory usage

    o   Checks added in multiple functions to verify the fit between functions and arguments