Merge pull request #64 from junder873/master

Update for FixedEffectModels 1.12

Author: jmboehm

.github/workflows/ci.yml

@@ -7,6 +7,7 @@ on:
     branches:
       - master
     tags: '*'
+  workflow_dispatch:
 jobs:
   test:
     name: Julia ${{ matrix.version }} - ${{ matrix.os }} - ${{ matrix.arch }} - ${{ github.event_name }}
@@ -17,18 +18,17 @@ jobs:
         version:
           - '1.9' # Replace this with the minimum Julia version that your package supports. E.g. if your package requires Julia 1.5 or higher, change this to '1.5'.
           - '1' # Leave this line unchanged. '1' will automatically expand to the latest stable 1.x release of Julia.
-          - 'nightly'
         os:
           - ubuntu-latest
         arch:
           - x64
     steps:
-      - uses: actions/checkout@v2
-      - uses: julia-actions/setup-julia@v1
+      - uses: actions/checkout@v4
+      - uses: julia-actions/setup-julia@v2
         with:
           version: ${{ matrix.version }}
           arch: ${{ matrix.arch }}
-      - uses: actions/cache@v1
+      - uses: actions/cache@v4
         env:
           cache-name: cache-artifacts
         with:
@@ -41,6 +41,6 @@ jobs:
       - uses: julia-actions/julia-buildpkg@v1
       - uses: julia-actions/julia-runtest@v1
       - uses: julia-actions/julia-processcoverage@v1
-      - uses: codecov/codecov-action@v1
+      - uses: codecov/codecov-action@v5
         with:
-          file: lcov.info
+          files: lcov.info

Project.toml

@@ -1,7 +1,7 @@
 name = "GLFixedEffectModels"
 uuid = "bafb0ae5-e5f5-5100-81b6-6a55d777c812"
 authors = ["Johannes Boehm <johannes.boehm@gmail.com>"]
-version = "0.5.4"
+version = "0.5.5"
 
 [deps]
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
@@ -24,7 +24,7 @@ Vcov = "ec2bfdc2-55df-4fc9-b9ae-4958c2cf2486"
 DataFrames = "1"
 Distributions = "0.25"
 FillArrays = "1"
-FixedEffectModels = "1.7,1.8,1.9,1.10,1.11"
+FixedEffectModels = "1.12"
 FixedEffects = "2.1,2.2,2.3"
 GLM = "^1.3.6"
 LoopVectorization = "0.12"

src/fit.jl

@@ -154,9 +154,7 @@ function nlreg(@nospecialize(df),
     if has_fes
         if drop_singletons
             before_n = sum(esample)
-            for fe in fes
-                FixedEffectModels.drop_singletons!(esample, fe)
-            end
+            FixedEffectModels.drop_singletons!(esample, fes, nthreads)
             after_n = sum(esample)
             dropped_n = before_n - after_n
             if dropped_n > 0