From 015828cd92d9ad1fa71e59643f523b6dd59679b7 Mon Sep 17 00:00:00 2001 From: wlandau Date: Wed, 17 Nov 2021 20:56:53 -0500 Subject: [PATCH] Fix URL --- README.Rmd | 2 +- README.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.Rmd b/README.Rmd index 30dfe22..7bf7d52 100644 --- a/README.Rmd +++ b/README.Rmd @@ -19,7 +19,7 @@ knitr::opts_chunk$set( [![status](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) [![check](https://github.com/ropensci/jagstargets/workflows/check/badge.svg)](https://github.com/ropensci/jagstargets/actions?query=workflow%3Acheck) -[![codecov](https://codecov.io/gh/ropensci/jagstargets/branch/main/graph/badge.svg?token=3T5DlLwUVl)](https://codecov.io/gh/ropensci/jagstargets) +[![codecov](https://codecov.io/gh/ropensci/jagstargets/branch/main/graph/badge.svg?token=3T5DlLwUVl)](https://app.codecov.io/gh/ropensci/gittargets) [![lint](https://github.com/ropensci/jagstargets/workflows/lint/badge.svg)](https://github.com/ropensci/jagstargets/actions?query=workflow%3Alint) Bayesian data analysis usually incurs long runtimes and cumbersome custom code, and the process of prototyping and deploying custom [JAGS](https://mcmc-jags.sourceforge.io) models can become a daunting software engineering challenge. To ease this burden, the `jagstargets` R package creates [JAGS](https://mcmc-jags.sourceforge.io) pipelines that are concise, efficient, scalable, and tailored to the needs of Bayesian statisticians. Leveraging [`targets`](https://docs.ropensci.org/targets/), `jagstargets` pipelines automatically parallelize the computation and skip expensive steps when the results are already up to date. Minimal custom user-side code is required, and there is no need to manually configure branching, so `jagstargets` is easier to use than [`targets`](https://docs.ropensci.org/targets/) and [`R2jags`](https://CRAN.R-project.org/package=R2jags) directly. diff --git a/README.md b/README.md index b87075d..6a22267 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ Targetopia](https://img.shields.io/badge/R_Targetopia-member-blue?style=flat&lab [![status](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) [![check](https://github.com/ropensci/jagstargets/workflows/check/badge.svg)](https://github.com/ropensci/jagstargets/actions?query=workflow%3Acheck) -[![codecov](https://codecov.io/gh/ropensci/jagstargets/branch/main/graph/badge.svg?token=3T5DlLwUVl)](https://codecov.io/gh/ropensci/jagstargets) +[![codecov](https://codecov.io/gh/ropensci/jagstargets/branch/main/graph/badge.svg?token=3T5DlLwUVl)](https://app.codecov.io/gh/ropensci/jagstargets) [![lint](https://github.com/ropensci/jagstargets/workflows/lint/badge.svg)](https://github.com/ropensci/jagstargets/actions?query=workflow%3Alint) Bayesian data analysis usually incurs long runtimes and cumbersome