@@ -10,29 +10,29 @@ toc: false
1010<center >
1111
1212[ ![ PyPi version] ( https://badge.fury.io/py/bambi.svg )] ( https://badge.fury.io/py/bambi )
13- [ ![ Build Status] ( https://github.com/bambinos/bambi/actions/workflows/test .yml/badge.svg )] ( https://github.com/bambinos/bambi/actions/workflows/test .yml )
13+ [ ![ Build Status] ( https://github.com/bambinos/bambi/actions/workflows/ci .yml/badge.svg )] ( https://github.com/bambinos/bambi/actions/workflows/ci .yml )
1414[ ![ codecov] ( https://codecov.io/gh/bambinos/bambi/branch/master/graph/badge.svg?token=ZqH0KCLKAE )] ( https://codecov.io/gh/bambinos/bambi )
1515[ ![ Code style: black] ( https://img.shields.io/badge/code%20style-black-000000.svg )] ( https://github.com/ambv/black )
1616
1717</center >
1818
1919
20- Bambi is a high-level Bayesian model-building interface written in Python.
20+ Bambi is a high-level Bayesian model-building interface written in Python.
2121It works with the [ PyMC] ( https://www.pymc.io/ ) probabilistic programming framework and is
2222designed to make it extremely easy to fit Bayesian mixed-effects models common in biology,
2323social sciences and other disciplines.
2424
2525
2626## Dependencies
2727
28- Bambi is tested on Python 3.11+ and depends on ArviZ, formulae, NumPy, pandas and PyMC
29- (see [ pyproject.toml] ( https://github.com/bambinos/bambi/blob/main/pyproject.toml )
28+ Bambi is tested on Python 3.11+ and depends on ArviZ, formulae, NumPy, pandas and PyMC
29+ (see [ pyproject.toml] ( https://github.com/bambinos/bambi/blob/main/pyproject.toml )
3030for version information).
3131
3232## Installation
3333
34- Bambi is available from the Python Package Index at
35- [ https://pypi.org/project/bambi ] ( https://pypi.org/project/bambi ) , alternatively it can be
34+ Bambi is available from the Python Package Index at
35+ [ https://pypi.org/project/bambi ] ( https://pypi.org/project/bambi ) , alternatively it can be
3636installed using Conda.
3737
3838### PyPI
@@ -44,7 +44,7 @@ pip install bambi
4444```
4545
4646Alternatively, if you want the bleeding edge version of the package, you can install from GitHub:
47-
47+
4848``` bash
4949pip install git+https://github.com/bambinos/bambi.git
5050```
@@ -78,7 +78,7 @@ data = bmb.load_data("sleepstudy")
7878
7979# See first rows
8080data.head()
81-
81+
8282# Initialize the fixed effects only model
8383model = bmb.Model(' Reaction ~ Days' , data)
8484
@@ -94,7 +94,7 @@ az.summary(results)
9494# Use ArviZ to plot the results
9595az.plot_trace(results)
9696```
97- ```
97+ ```
9898 Reaction Days Subject
99990 249.5600 0 308
1001001 258.7047 1 308
@@ -151,7 +151,7 @@ model = bmb.Model("g['Yes'] ~ x1 + x2", data, family="bernoulli")
151151fitted = model.fit()
152152```
153153
154- After this, we can evaluate the model as before.
154+ After this, we can evaluate the model as before.
155155
156156### More
157157
@@ -178,8 +178,8 @@ If you use Bambi and want to cite it please use
178178
179179## Contributing
180180
181- We welcome contributions from interested individuals or groups!
182- For information about contributing to Bambi, check out our instructions, policies,
181+ We welcome contributions from interested individuals or groups!
182+ For information about contributing to Bambi, check out our instructions, policies,
183183and guidelines [ here] ( https://github.com/bambinos/bambi/blob/main/CONTRIBUTING.md ) .
184184
185185## Contributors
0 commit comments