diff --git a/issues/792/Manifest.toml b/issues/792/Manifest.toml
index 8ee646354..0940ee1b1 100644
--- a/issues/792/Manifest.toml
+++ b/issues/792/Manifest.toml
@@ -1,6 +1,6 @@
 # This file is machine-generated - editing it directly is not advised
 
-julia_version = "1.11.1"
+julia_version = "1.11.2"
 manifest_format = "2.0"
 project_hash = "c4309ccc6a27d70f68104254c44bddd49b144b44"
 
@@ -416,9 +416,9 @@ version = "1.2.0"
 
 [[deps.MixedModels]]
 deps = ["Arrow", "BSplineKit", "Compat", "DataAPI", "Distributions", "GLM", "JSON3", "LinearAlgebra", "Markdown", "MixedModelsDatasets", "NLopt", "PooledArrays", "PrecompileTools", "ProgressMeter", "Random", "SparseArrays", "StaticArrays", "Statistics", "StatsAPI", "StatsBase", "StatsFuns", "StatsModels", "StructTypes", "Tables", "TypedTables"]
-git-tree-sha1 = "0465c5abfba171982193407d1d0c051d6d0fb48c"
+path = "../.."
 uuid = "ff71e718-51f3-5ec2-a782-8ffcbfa3c316"
-version = "4.27.0"
+version = "4.27.1"
 
 [[deps.MixedModelsDatasets]]
 deps = ["Arrow", "Artifacts", "LazyArtifacts"]
diff --git a/issues/792/main.jl b/issues/792/main.jl
index 9f2aa81f0..bc93daf75 100644
--- a/issues/792/main.jl
+++ b/issues/792/main.jl
@@ -1,17 +1,16 @@
 using MixedModels, DataFrames, Random
 Random.seed!(0)
 df = allcombinations(DataFrame,
-                     "subject" => 1:100,
+                     "subject" => 1:10,
                      "session" => 1:6,
                      "list" => 1:25,
                      "serialpos" => 1:12)
-df[!, :recalled] = rand(nrow(df))
-df[!, :recalled] = df[!, :recalled] .> .5
-
+df[!, :recalled] = rand(nrow(df)) .> .5
 serialpos_contrasts = Dict(:serialpos => DummyCoding())
 
-form = @formula(recalled ~ serialpos + zerocorr(fulldummy(serialpos) | subject) + (1 | subject & session))
-m = MixedModel(
-        form,
-        df, Bernoulli();
-        contrasts=serialpos_contrasts)
+form = @formula(recalled ~ serialpos + zerocorr(serialpos | subject) + (1 | subject & session))
+m = GeneralizedLinearMixedModel(form, df, Bernoulli(); contrasts=serialpos_contrasts)
+# m = GeneralizedLinearMixedModel(form, df, Bernoulli();
+#                                 contrasts=serialpos_contrasts)
+
+fit!(m; init_from_lmm=[:β, :θ])