Use inverse

JuliaStats · Dec 13, 2024 · cbdadbc · cbdadbc
1 parent f124589
commit cbdadbc
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diff --git a/docs/Project.toml b/docs/Project.toml
@@ -1,13 +1,17 @@
 [deps]
+CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
 Optim = "429524aa-4258-5aef-a3af-852621145aeb"
+RCall = "6f49c342-dc21-5d91-9882-a32aef131414"
 RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
+Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
 StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
 StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
+StatsFuns = "4c63d2b9-4356-54db-8cca-17b64c39e42c"
 StatsModels = "3eaba693-59b7-5ba5-a881-562e759f1c8d"
 
 [compat]

diff --git a/src/lm.jl b/src/lm.jl
@@ -388,7 +388,7 @@ function momentmatrix(m::LinearModel)
     end
 end
 
-invloglikhessian(m::LinearModel) = invchol(m.pp)
+invloglikhessian(m::LinearModel) = inverse(m.pp)
 
 function varstruct(x::LinearModel)
     wrkwt = working_weights(x)