CompatHelper: bump compat for Documenter to 1 for package docs, (keep existing compat)

docs/Project.toml

@@ -2,4 +2,4 @@
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 
 [compat]
-Documenter = "0.27"
+Documenter = "0.27, 1"

docs/src/methods.md

@@ -1,6 +1,6 @@
 # Methods
 
-This page documents the generic `confint` and `pvalue` methods which are supported
+This page documents the generic `confint`, `pvalue` and `testname` methods which are supported
 by most tests. Some particular tests support additional arguments: see the
 documentation for the relevant methods provided in sections covering these tests.
 
@@ -13,3 +13,8 @@ confint
 ```@docs
 pvalue
 ```
+
+## Test name
+```@docs
+testname
+```

src/anderson_darling.jl

@@ -131,7 +131,7 @@ function show_params(io::IO, x::KSampleADTest, ident = "")
     x.nsim != 0 && println(io, ident, "number of simulations:    $(x.nsim)")
 end
 
-"""Monte-Carlo simulation of the p-value for AD test"""
+# Monte-Carlo simulation of the p-value for AD test
 function pvaluesim(x::KSampleADTest)
     Z = sort(x.samples)
     Z⁺ = unique(Z)
@@ -172,7 +172,7 @@ const TK  = [-1.1926243990804033 -1.1743913869790086 -1.165614653421677 -1.13925
              -2.569928572144317 -2.4656196647138655 -2.4014758345752387 -2.236262068336355 -2.158516518380391 -1.923673308482446 -1.7979065748604046 -1.5997846679626186 -1.4103321257056918 -1.2784135432631765 -1.1717696031635132 -0.8499132658320339 -0.5943484194811337 -0.35694312707262416 -0.1214887880639173 0.13112100670750404 0.4191870332071281 0.7814077014565005 1.3316584559236748 1.5432210796311716 1.8266084594238228 2.2920622811804403 2.856304977260614 3.0300396084181944 3.2684205939333277 3.664624203263345 4.176983049634148 4.326393560377753 4.552857168246306 4.92111391208768 5.502216961106142 5.636662090993625 5.850215772428456 6.1557325597112955 6.609738032513054;
              -2.972701482938346 -2.812945948534419 -2.7269368807141112 -2.505073465280368 -2.3962139122991437 -2.099707039134466 -1.9451305240930674 -1.7042574729580975 -1.4825402524085212 -1.330796855221357 -1.2110926561356254 -0.8546019664189122 -0.5788952082877374 -0.33039963362646674 -0.08728908009829067 0.16763773343275448 0.4519318546878791 0.8027235952910927 1.3216636485933564 1.5182514190293643 1.7792399561819003 2.196289357383261 2.704436161637905 2.8602211164423332 3.071314876385227 3.4161591494006935 3.856086976310044 3.999063549670627 4.180960369206441 4.484057207941962 4.871734136391144 5.018239006694096 5.187665970098557 5.479057559707716 5.841992903950639]
 
-"""Asymptotic evaluation of the p-value for Anderson-Darling test"""
+# Asymptotic evaluation of the p-value for Anderson-Darling test
 function pvalueasym(x::KSampleADTest)
     # Computational Details:
     #

src/durbin_watson.jl

@@ -91,27 +91,24 @@ function show_params(io::IO, x::DurbinWatsonTest, ident)
     println(io, ident, "DW statistic:               ", x.DW)
 end
 
-"""
-    pan_algorithm(a::AbstractArray, x::Float64, m::Int, n::Int)
-
-Compute exact p-values for the Durbin-Watson statistic using Pan's algorithm (Farebrother,
-1980).
-
-`a` is the vector of non-zero Eigenvalues of ``(I-(X(X'X)^{-1}X'))A`` (see Durbin and
-Watson, 1971, p. 2), `x` is the value of the Durbin-Watson statistic, `m` the number of
-elements in `a`, and `n` the number of approximation terms (see Farebrother, 1980, eq. 5).
-
-# References
-
-  * J. Durbin and G. S. Watson, 1971, "Testing for Serial Correlation in Least Squares
-  Regression: III", Biometrika, Vol. 58, No. 1, pp. 1-19,
-  [http://www.jstor.org/stable/2334313](http://www.jstor.org/stable/2334313).
-  * R. W. Farebrother, 1980, "Algorithm AS 153: Pan's Procedure for the Tail Probabilities
-  of the Durbin-Watson Statistic", Journal of the Royal Statistical Society, Series C
-  (Applied Statistics), Vol. 29, No. 2, pp. 224-227,
-  [http://www.jstor.org/stable/2986316](http://www.jstor.org/stable/2986316).
-
-"""
+#     pan_algorithm(a::AbstractArray, x::Float64, m::Int, n::Int)
+#
+# Compute exact p-values for the Durbin-Watson statistic using Pan's algorithm (Farebrother,
+# 1980).
+# 
+# `a` is the vector of non-zero Eigenvalues of ``(I-(X(X'X)^{-1}X'))A`` (see Durbin and
+# Watson, 1971, p. 2), `x` is the value of the Durbin-Watson statistic, `m` the number of
+# elements in `a`, and `n` the number of approximation terms (see Farebrother, 1980, eq. 5).
+# 
+# # References
+# 
+#   * J. Durbin and G. S. Watson, 1971, "Testing for Serial Correlation in Least Squares
+#   Regression: III", Biometrika, Vol. 58, No. 1, pp. 1-19,
+#   [http://www.jstor.org/stable/2334313](http://www.jstor.org/stable/2334313).
+#   * R. W. Farebrother, 1980, "Algorithm AS 153: Pan's Procedure for the Tail Probabilities
+#   of the Durbin-Watson Statistic", Journal of the Royal Statistical Society, Series C
+#   (Applied Statistics), Vol. 29, No. 2, pp. 224-227,
+#   [http://www.jstor.org/stable/2986316](http://www.jstor.org/stable/2986316).
 function pan_algorithm(a::AbstractArray, x::Float64, m::Int, n::Int)
 
     ν = findfirst(ai -> ai >= x, a)