update docu of AbstractMoments

docs/Project.toml

@@ -1,4 +1,5 @@
 [deps]
+DistributionFits = "45214091-1ed4-4409-9bcf-fdb48a05e921"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 Optim = "429524aa-4258-5aef-a3af-852621145aeb"

docs/make.jl

@@ -11,7 +11,8 @@ DocMeta.setdocmeta!(DistributionFits, :DocTestSetup, :(using DistributionFits);
 makedocs(;
     modules=[DistributionFits],
     authors="Thomas Wutzler <twutz@bgc-jena.mpg.de> and contributors",
-    repo="https://github.com/bgctw/DistributionFits.jl/blob/{commit}{path}#{line}",
+    #repo="https://github.com/bgctw/DistributionFits.jl/blob/{commit}{path}#{line}",
+    repo = Remotes.GitHub("bgctw", "DistributionFits.jl"),    
     sitename="DistributionFits.jl",
     format=Documenter.HTML(;
         prettyurls=get(ENV, "CI", "false") == "true",

src/fitstats.jl

@@ -7,11 +7,11 @@ The following functions are supported
 - `n_moments(m)`: get the number of recorded moments
 
 The following getters return a single moment or 
-throw an error if the moment has not been recorded
-- `mean(m)`: get the mean
-- `var(m)`: get the variance
-- `skewness(m)`: get the variance
-- `kurtosis(m)`: get the variance
+throw an error if the moment has not been recorded (`>N`)
+- `mean(m)`: get the first momemnt, i.e. the mean
+- `var(m)`: get the second moment, i.e. the variance
+- `skewness(m)`: get the third moment, i.e. the skewness
+- `kurtosis(m)`: get the fourth moment, i.e.  the kurtosis
 - `getindex(m,i)`: get the ith moment, i.e. indexing m[i]
 
 The basic implementation `Moments` is immutable and