From c1894ab3fa429c11c9eea61f770e56fc43184734 Mon Sep 17 00:00:00 2001
From: Logan Mondal Bhamidipaty
 <76822456+FlyingWorkshop@users.noreply.github.com>
Date: Thu, 9 Jan 2025 14:00:31 -0800
Subject: [PATCH] Update README.md

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

diff --git a/README.md b/README.md
index 96a111f..162a20c 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@
 [![Dev-Docs](https://img.shields.io/badge/docs-latest-blue.svg)](https://sisl.github.io/ExpFamilyPCA.jl/latest)
 [![status](https://joss.theoj.org/papers/8c617a932d19b28d5ac0299b23d2c8dc/status.svg)](https://joss.theoj.org/papers/8c617a932d19b28d5ac0299b23d2c8dc)
 [![Build Status](https://github.com/sisl/ExpFamilyPCA.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/sisl/ExpFamilyPCA.jl/actions/workflows/CI.yml?query=branch%3Amain)
-[![codecov](https://codecov.io/github/sisl/ExpFamilyPCA.jl/graph/badge.svg?token=kJESb0GybB)](https://codecov.io/github/sisl/ExpFamilyPCA.jl)
+[![codecov](https://codecov.io/github/sisl/ExpFamilyPCA.jl/branch/main/graph/badge.svg?token=kJESb0GybB)](https://codecov.io/github/sisl/ExpFamilyPCA.jl)
 
 **ExpFamilyPCA.jl** is a Julia package for [exponential family principal component analysis (EPCA)](https://papers.nips.cc/paper_files/paper/2001/hash/f410588e48dc83f2822a880a68f78923-Abstract.html), a versatile generalization of PCA designed to handle non-Gaussian data, enabling dimensionality reduction and data analysis across a wide variety of distributions (e.g., binary, count, and compositional data). It is designed for applications in machine learning (belief compression, text analysis), signal processing (denoising), and data science (sample debiasing, clustering, dimensionality reduction), but can be applied to other fields with diverse data types.