From 4b1778ed59b3ab0a9656e91d82ce021afff062c2 Mon Sep 17 00:00:00 2001 From: Joe Vincent Date: Mon, 10 Jun 2024 08:55:29 -0700 Subject: [PATCH] Update paper.md --- joss/paper.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/joss/paper.md b/joss/paper.md index 3372457..3ae3750 100644 --- a/joss/paper.md +++ b/joss/paper.md @@ -1,5 +1,5 @@ --- -title: 'binomial_CIs: A Python Package for Optimal Binomial Confidence Intervals' +title: 'binomial_cis: A Python Package for Optimal Binomial Confidence Intervals' tags: - Python - statistics @@ -12,14 +12,14 @@ authors: affiliations: - name: Department of Aeronautics and Astronautics, Stanford University index: 1 -date: 10 June 2020 +date: 10 June 2024 bibliography: paper.bib --- # Summary -[binomial_CIs](https://github.com/TRI-ML/binomial_CIs) is a Python package for computing confidence intervals for the probability of success parameter, $p$, of a binomial distribution. +[binomial_cis](https://github.com/TRI-ML/binomial_cis) is a Python package for computing confidence intervals for the probability of success parameter, $p$, of a binomial distribution. @@ -35,7 +35,7 @@ The need for binomial_CIs arose out of these methods not having an open-source i # Research Usage -binomial_CIs has been used to compute confidence intervals for the probability of task success robot manipulators in simulation and the real world [@vincent2024generalizable]. +binomial_cis has been used to compute confidence intervals for the probability of task success robot manipulators in simulation and the real world [@vincent2024generalizable].