add GLM to docs deps

TARGENE · Feb 11, 2025 · a5887be · a5887be
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diff --git a/docs/Project.toml b/docs/Project.toml
@@ -6,6 +6,7 @@ CausalTables = "6af48e0c-efc2-4bf7-a92f-a553ccf79fd6"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
+GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
 JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
 Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
 LogExpFunctions = "2ab3a3ac-af41-5b50-aa03-7779005ae688"

diff --git a/docs/src/index.md b/docs/src/index.md
@@ -11,6 +11,7 @@ TMLE.jl is a Julia implementation of the Targeted Minimum Loss-Based Estimation
 The following plot illustrates the bias reduction achieved by TMLE over a mis-specified linear model in the presence of confounding. Note that in this case, TMLE also uses mis-specified models but still achieves a lower bias due to the atrgeting step.
 
 ```@eval
+using GLM
 using Distributions
 using Random
 using DataFrames