---
name: Support question
about: Ask questions about how to use the balance package
title: '[Question] '
labels: question
assignees: ''
---

## :sparkles: Before submitting...
Before posting, please first verify that you can NOT find an answer to your question in any of the following resources:
- [ ] The [homepage/overview](https://import-balance.org/docs/docs/overview/) documentation.
- [ ] The [tutorials](https://import-balance.org/docs/tutorials/) (with examples).
    - **[quickstart](https://import-balance.org/docs/tutorials/quickstart/):** Walkthrough of the end-to-end workflow with default arguments; uses simulated data.
    - **[quickstart_cbps](https://import-balance.org/docs/tutorials/quickstart_cbps/):** Shows how to use the CBPS algorithm as an alternative to IPW.
    - **[quickstart_rake](https://import-balance.org/docs/tutorials/quickstart_rake/):** Using the rake algorithm as an alternative to IPW.
    - **[quickstart_poststratify](https://import-balance.org/docs/tutorials/quickstart_poststratify/):** Focuses on post-stratification, highlighting how to match either a single marginal distribution or the full joint distribution of two covariates.
    - **[balance_transformations_and_formulas](https://import-balance.org/docs/tutorials/balance_transformations_and_formulas/):** Explains preprocessing using transformations, formulas, and penalties.
    - **[comparing_cbps_in_r_vs_python_using_sim_data](https://import-balance.org/docs/tutorials/comparing_cbps_in_r_vs_python_using_sim_data/):** Direct comparison of CBPS results in R and Python.
- [ ] The latest [presentation](https://github.com/facebookresearch/balance/blob/main/website/static/docs/Balancing_biased_data_samples_with_the_balance_Python_package_-_ISA_conference_2023-06-01.pdf) and [paper](https://arxiv.org/abs/2307.06024).
    - [**Presentation (ISA 2023): Balancing biased data samples with the 'balance' Python package**](https://github.com/facebookresearch/balance/blob/main/website/static/docs/Balancing_biased_data_samples_with_the_balance_Python_package_-_ISA_conference_2023-06-01.pdf)
    - [**Paper: Sarig, T., Galili, T., & Eilat, R. (2023). balance – a Python package for balancing biased data samples.**](https://arxiv.org/abs/2307.06024)

## :speech_balloon: Problem description
_Describe your question about using the 'balance' package. What are you trying to achieve?_

## :mag: Steps to reproduce / What you've tried
_Please describe what you have already tried. Mention any documentation or tutorials you referenced from the list above._

## :page_facing_up: Relevant code, error messages, or data samples
_Include code snippets, error messages, or sanitized data samples that will help us understand your question and provide support._

## :notebook: Additional context
_Add any extra information that might help us better understand your situation or intended usage._
