From a7777738cbc60672b2d493ca9181f879b6d66a23 Mon Sep 17 00:00:00 2001
From: Tom Palmer <remlapmot@hotmail.com>
Date: Tue, 9 Dec 2025 16:35:18 +0000
Subject: [PATCH 1/4] Import and use load_data() function from data/__init__.py

---
 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index be3a4fc..716ee96 100644
--- a/README.md
+++ b/README.md
@@ -31,8 +31,9 @@ From the user side, this amounts to creating a dataclass, `SEQopts`, and then fe
 ```python
 import polars as pl
 from pySEQTarget import SEQuential, SEQopts
+from pySEQTarget.data import load_data
 
-data = pl.from_pandas(SEQdata)
+data = load_data("SEQdata")
 options = SEQopts(km_curves = True)
 
 # Initiate the class

From 7a312a87dc5271d1c2da2ec78d37967de8213dec Mon Sep 17 00:00:00 2001
From: Tom Palmer <remlapmot@hotmail.com>
Date: Tue, 9 Dec 2025 16:35:40 +0000
Subject: [PATCH 2/4] Add treatment_col and outcome_col arguments

---
 README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/README.md b/README.md
index 716ee96..a7c39b5 100644
--- a/README.md
+++ b/README.md
@@ -41,6 +41,8 @@ model = SEQuential(data,
                    id_col = "ID",
                    time_col = "time",
                    eligible_col = "eligible",
+                   treatment_col = "tx_init",
+                   outcome_col = "outcome",
                    time_varying_cols = ["N", "L", "P"],
                    fixed_cols = ["sex"],
                    method = "ITT",

From c022ddc74992eab0908c4f5d79727076f6d46b7a Mon Sep 17 00:00:00 2001
From: Tom Palmer <remlapmot@hotmail.com>
Date: Tue, 9 Dec 2025 16:35:51 +0000
Subject: [PATCH 3/4] Amend options to parameters

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index a7c39b5..a07d390 100644
--- a/README.md
+++ b/README.md
@@ -46,7 +46,7 @@ model = SEQuential(data,
                    time_varying_cols = ["N", "L", "P"],
                    fixed_cols = ["sex"],
                    method = "ITT",
-                   options = options)
+                   parameters = options)
 model.expand()  # Construct the nested structure
 model.bootstrap(bootstrap_nboot = 20) # Run 20 bootstrap samples
 model.fit() # Fit the model

From 8e847787195e1cb196e52593ac341593951f144d Mon Sep 17 00:00:00 2001
From: Tom Palmer <remlapmot@hotmail.com>
Date: Tue, 9 Dec 2025 16:36:46 +0000
Subject: [PATCH 4/4] Delete blank lines

---
 README.md | 2 --
 1 file changed, 2 deletions(-)

diff --git a/README.md b/README.md
index a07d390..09181dd 100644
--- a/README.md
+++ b/README.md
@@ -53,7 +53,6 @@ model.fit() # Fit the model
 model.survival() # Create survival curves
 model.plot() # Create and show a plot of the survival curves
 model.collect() # Collection of important information
-
 ```
 
 ## Assumptions
@@ -61,4 +60,3 @@ There are several key assumptions in this package -
 1. User provided `time_col` begins at 0 per unique `id_col`, we also assume this column contains only integers and continues by 1 for every time step, e.g. (0, 1, 2, 3, 4, ...) is allowed and (0, 1, 2, 2.5, ...) or (0, 1, 4, 5) are not
     1. Provided `time_col` entries may be out of order at intake as a sort is enforced at expansion.
 2. `eligible_col` and elements of `excused_colnames` are once 1, only 1 (with respect to `time_col`) flag variables.
-