From 58db7caab1c1c8b6a5025cc0be8a5d799aa65515 Mon Sep 17 00:00:00 2001
From: speco29 <sdiya5556@gmail.com>
Date: Thu, 23 Jan 2025 00:42:44 +0530
Subject: [PATCH 1/3] fixes #802

Added an entry in FAQ
---
 docs/faq.qmd | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/docs/faq.qmd b/docs/faq.qmd
index 9f427a95..c4d4acac 100644
--- a/docs/faq.qmd
+++ b/docs/faq.qmd
@@ -16,6 +16,11 @@ It is a very powerful library, but can be challenging to use for beginners.
 Bambi provides a simple interface for specifying models, and allows for easy inference via
 MCMC or variational inference using PyMC.
 
+## Why do the functions in the `interpret` submodule expect names of variables and not names of terms?
+
+* In the interpret submodule, functions are designed to work with the names of variables directly rather than the names of terms. This approach simplifies the usage and avoids potential confusion.
+  For example, instead of passing bs(var_name, degree=3, knots=knots), you should pass var_name. The term bs(var_name, degree=3, knots=knots) represents a transformed version of the variable which includes additional details like degree and knots. However, the interpret functions are built to handle the raw variable names to maintain clarity and simplicity.
+
 ## Inference Questions
 
 ### What sampling methods are available?

From d4e5d572d9448293f4ad00c5c7f7df5b1101b73a Mon Sep 17 00:00:00 2001
From: speco29 <sdiya5556@gmail.com>
Date: Thu, 23 Jan 2025 20:17:32 +0530
Subject: [PATCH 2/3] fixes #437

Added piecewise regression example to example docs.
---
 examples    |  1 -
 examples.py | 21 +++++++++++++++++++++
 2 files changed, 21 insertions(+), 1 deletion(-)
 delete mode 120000 examples
 create mode 100644 examples.py

diff --git a/examples b/examples
deleted file mode 120000
index 88458cdf..00000000
--- a/examples
+++ /dev/null
@@ -1 +0,0 @@
-docs/notebooks
\ No newline at end of file
diff --git a/examples.py b/examples.py
new file mode 100644
index 00000000..ee2b7b27
--- /dev/null
+++ b/examples.py
@@ -0,0 +1,21 @@
+# piecewise_regression_example
+import pandas as pd
+import statsmodels.formula.api as smf
+
+# Example data
+data = pd.DataFrame({
+    'x': range(30),
+    'response': [i + (i >= 10) * 5 + (i >= 20) * 10 for i in range(30)]
+})
+
+# Piecewise function
+def truncate(x, l):
+    x = (x - l) * (x >= l)
+    return x
+
+# Piecewise regression formula
+formula = "response ~ x + truncate(x, 10) + truncate(x, 20)"
+
+# Fit the model
+model = smf.ols(formula=formula, data=data).fit()
+print(model.summary())

From 3fbc8d98d0af38ae425426dbdf35dcefc9944bf6 Mon Sep 17 00:00:00 2001
From: specsy <sdiya5556@gmail.com>
Date: Thu, 23 Jan 2025 20:22:07 +0530
Subject: [PATCH 3/3] Delete examples.py

---
 examples.py | 21 ---------------------
 1 file changed, 21 deletions(-)
 delete mode 100644 examples.py

diff --git a/examples.py b/examples.py
deleted file mode 100644
index ee2b7b27..00000000
--- a/examples.py
+++ /dev/null
@@ -1,21 +0,0 @@
-# piecewise_regression_example
-import pandas as pd
-import statsmodels.formula.api as smf
-
-# Example data
-data = pd.DataFrame({
-    'x': range(30),
-    'response': [i + (i >= 10) * 5 + (i >= 20) * 10 for i in range(30)]
-})
-
-# Piecewise function
-def truncate(x, l):
-    x = (x - l) * (x >= l)
-    return x
-
-# Piecewise regression formula
-formula = "response ~ x + truncate(x, 10) + truncate(x, 20)"
-
-# Fit the model
-model = smf.ols(formula=formula, data=data).fit()
-print(model.summary())