Some new updates

src/juobs_gammaMethod.jl

@@ -201,7 +201,7 @@ function calc_gamma(a1::ADerrors.uwreal,a2::ADerrors.uwreal,id::Int64,ws::ADerro
 
   See also [`cov_min`](@ref) [`cov_ad`](@ref)
   """
-  function cov_pe(vobs::Vector{ADerrors.uwreal}, ws::ADerrors.wspace)
+  function cov_pe(vobs::AbstractVector{ADerrors.uwreal}, ws::ADerrors.wspace)
     ids = ADerrors.unique_ids_multi(vobs, ws)
     nid = length(ids)
     nobs = length(vobs)
@@ -224,7 +224,7 @@ function calc_gamma(a1::ADerrors.uwreal,a2::ADerrors.uwreal,id::Int64,ws::ADerro
     return cov
   end
 
-  cov_pe(vobs::Vector{ADerrors.uwreal}) = cov_pe(vobs,ADerrors.wsg) 
+  cov_pe(vobs::AbstractVector{ADerrors.uwreal}) = cov_pe(vobs,ADerrors.wsg) 
 
 
   @doc raw""" 
@@ -242,7 +242,7 @@ function calc_gamma(a1::ADerrors.uwreal,a2::ADerrors.uwreal,id::Int64,ws::ADerro
 
   See also [`cov_pe`](@ref) [`cov_ad`](@ref)
   """
-  function cov_min(vobs::Vector{ADerrors.uwreal},ws::ADerrors.wspace)
+  function cov_min(vobs::AbstractVector{ADerrors.uwreal},ws::ADerrors.wspace)
     ids = ADerrors.unique_ids_multi(vobs, ws)
     nid = length(ids)
     iw  = fill(typemax(Int64),nid) 
@@ -283,7 +283,7 @@ function calc_gamma(a1::ADerrors.uwreal,a2::ADerrors.uwreal,id::Int64,ws::ADerro
     return cov
   end
 
-  cov_min(vobs::Vector{ADerrors.uwreal}) = cov_min(vobs,ADerrors.wsg) 
+  cov_min(vobs::AbstractVector{ADerrors.uwreal}) = cov_min(vobs,ADerrors.wsg) 
 
   @doc raw""" 
       cov_AD(vobs::Vector{ADerrors.uwrela} [ws::ADerrors.wspace]; biased::Bool=true, info::Bool=false)
@@ -302,7 +302,7 @@ function calc_gamma(a1::ADerrors.uwreal,a2::ADerrors.uwreal,id::Int64,ws::ADerro
   - `info::Bool`: if `true` return the integration window used to compute the covariance matrix as a Dict{Int64,Int64}(id=> iw)
   See also [`cov_min`](@ref) [`cov_pe`](@ref)
   """
-  function cov_AD(vobs::Vector{ADerrors.uwreal},ws::ADerrors.wspace; biased::Bool=true, info::Bool=false)
+  function cov_AD(vobs::AbstractVector{ADerrors.uwreal},ws::ADerrors.wspace; biased::Bool=true, info::Bool=false)
     ids = ADerrors.unique_ids_multi(vobs, ws)
     nid = length(ids)
     iw  = zeros(Int64,nid) 
@@ -348,7 +348,7 @@ function calc_gamma(a1::ADerrors.uwreal,a2::ADerrors.uwreal,id::Int64,ws::ADerro
     return info ? (cov, Dict(ids.=>iw)) : cov
   end
 
-  cov_AD(vobs::Vector{ADerrors.uwreal};biased::Bool=false) = cov_AD(vobs,ADerrors.wsg,biased=biased) 
+  cov_AD(vobs::AbstractVector{ADerrors.uwreal};biased::Bool=false) = cov_AD(vobs,ADerrors.wsg,biased=biased) 
 
   """
     chiexp(hess, C, W)

src/juobs_tools.jl

@@ -1649,7 +1649,7 @@ function pvalue(chisq::Function,
     W::AbstractArray{Float64,2};
     wpm::Union{Dict{Int64,Vector{Float64}},Dict{String,Vector{Float64}}, Nothing} =  Dict{Int64,Vector{Float64}}(),
     nmc::Int64 = 5000,
-    C::AbstractMatrix{Float64} = ADerrors.cov(data,wpm))
+    C::AbstractMatrix{Float64} = GammaMethod.cov_AD(data,wpm))
 
     n = length(xp)   # Number of fit parameters
     m = length(data) # Number of data