diff --git a/docs/vignettes/more_advanced_models.md b/docs/vignettes/more_advanced_models.md
index f636a7b..f526304 100644
--- a/docs/vignettes/more_advanced_models.md
+++ b/docs/vignettes/more_advanced_models.md
@@ -63,12 +63,21 @@ my_analysis.bootstrap()
 
 Now that the underlying bootstrap structure has been in place, we can simply continue as we would in simpler models- fit, survival, plot, collect, and dump.
 
+You can recover all results through the collection, and interact with them as you would normally in Python; however, to dump to md or pdf you may require the optional depedencies which interact with these file formats.
+
+These can be easily installed through the `output` optional dependencies with pySEQTarget.
+
+```shell
+pip install pySEQTarget[output]
+```
+
 ```python
 my_analysis.fit()
 my_analysis.survival()
 my_analysis.plot()
 
 my_output = my_analysis.collect()
+# Requires tabulate installation
 my_output.to_md()
 ```
 
diff --git a/pyproject.toml b/pyproject.toml
index 0efb45c..fa22221 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "pySEQTarget"
-version = "0.10.1"
+version = "0.10.2"
 description = "Sequentially Nested Target Trial Emulation"
 readme = "README.md"
 license = {text = "MIT"}
@@ -42,6 +42,13 @@ dependencies = [
     "lifelines"
 ]
 
+[project.optional-dependencies]
+output = [
+    "markdown",
+    "weasyprint",
+    "tabulate"
+]
+
 [project.urls]
 Homepage = "https://github.com/CausalInference/pySEQTarget"
 Repository = "https://github.com/CausalInference/pySEQTarget"
@@ -65,12 +72,6 @@ dev = [
     "sphinx-autodoc-typehints",
 ]
 
-output = [
-    "markdown",
-    "weasyprint",
-    "tabulate"
-]
-
 [tool.setuptools.packages.find]
 where = ["."]
 include = ["pySEQTarget*"]