update compat, excise appveyor, bump version

.github/workflows/ci.yml

@@ -20,6 +20,7 @@ jobs:
         os:
           - ubuntu-latest
           - macOS-latest
+          - windows-latest
         arch:
           - x64
     steps:

Project.toml

@@ -1,7 +1,7 @@
 name = "QuadraticFormsMGHyp"
 uuid = "6511778d-1a85-47c0-a398-81d74574b378"
 authors = ["Simon Broda"]
-version = "1.1.2"
+version = "1.2.0"
 
 [deps]
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"

README.md

@@ -2,8 +2,7 @@
 
 [![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://s-broda.github.io/QuadraticFormsMGHyp.jl/stable)
 [![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://s-broda.github.io/QuadraticFormsMGHyp.jl/dev)
-[![Build status (Linux, MacOS)](https://github.com/s-broda/QuadraticFormsMGHyp.jl/workflows/CI/badge.svg)](https://github.com/s-broda/QuadraticFormsMGHyp.jl/actions?query=workflow%3ACI)
-[![Build Status (Windows)](https://ci.appveyor.com/api/projects/status/github/s-broda/QuadraticFormsMGHyp.jl?svg=true)](https://ci.appveyor.com/project/s-broda/QuadraticFormsMGHyp-jl)
+[![Build status (Linux, MacOS, Windows)](https://github.com/s-broda/QuadraticFormsMGHyp.jl/workflows/CI/badge.svg)](https://github.com/s-broda/QuadraticFormsMGHyp.jl/actions?query=workflow%3ACI)
 [![Codecov](https://codecov.io/gh/s-broda/QuadraticFormsMGHyp.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/s-broda/QuadraticFormsMGHyp.jl)
 [![pkgeval](https://juliaci.github.io/NanosoldierReports/pkgeval_badges/Q/QuadraticFormsMGHyp.svg)](https://juliaci.github.io/NanosoldierReports/pkgeval_badges/Q/QuadraticFormsMGHyp.html)
 [![DOI](https://zenodo.org/badge/244015145.svg)](https://zenodo.org/badge/latestdoi/244015145)

test/2sls.jl

@@ -19,7 +19,7 @@ else
      bb = 1 / sqrt(1-alpha^2)
 end
 R = Toeplitz(alpha .^(0:n-1), vcat(1., zeros(n-1))) * I
-R[:, 1] = bb * R[:, 1]
+R = R * diagm(vcat(bb, ones(n-1)))
 R = R ./ sqrt(tr(R * R') / n)
 mu = .5
 Pi = sqrt(mu / k) * (Z' * Z)^(-.5) * ones(k, 1)
@@ -42,7 +42,7 @@ spapm =  similar(cdf)
 
 for nuloop=1:length(nuvec)
     nu = nuvec[nuloop]
-    for loop = 1 : nx        
+    for loop = 1 : nx
         global cdf, spacdf, pm, spapm
         Si = ((nu-2) / nu * [s2u suv; suv s2v])^.5 # rescale to make Si^2 the covariance matrix
         S = kron(Si, R*R')

test/Project.toml

@@ -15,7 +15,7 @@ Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 ToeplitzMatrices = "c751599d-da0a-543b-9d20-d0a503d91d24"
 
 [compat]
-FinancialToolbox = "0.4"
+FinancialToolbox = "0.4, 0.5, 0.6"
 ForwardDiff = "0.10"
 LaTeXStrings = "1.3"
 Plots = "1.38"
@@ -25,5 +25,5 @@ QuadGK = "2.3"
 Roots = "0.8, 1.0, 2.0"
 SpecialFunctions = "0.8, 0.9, 0.10, 1.0, 2.0"
 StatsFuns = "0.9.4, 1.0"
-ToeplitzMatrices = "0.7"
+ToeplitzMatrices = "0.7, 0.8"
 julia = "1"