From b1b810cceaf5ba3ce76aebade3e57d7e8247f199 Mon Sep 17 00:00:00 2001 From: Blake Date: Sun, 19 May 2019 11:30:04 -0500 Subject: [PATCH] Fixed the HypBuilder link above install. Added version badge. --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 59fbaae..61cad07 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,7 @@ ![Python version badge](https://img.shields.io/badge/python-3.6-blue.svg) [![license](https://img.shields.io/github/license/mashape/apistatus.svg)](LICENSE) +![version](https://img.shields.io/badge/version-0.16.0-orange.svg) Gleipnir is a python toolkit that provides an easy to use interface for Nested Sampling that is similar to the calibration tools [PyDREAM](https://github.com/LoLab-VU/PyDREAM) and [SimplePSO](https://github.com/LoLab-VU/ParticleSwarmOptimization). Gleipnir has a built-in implementation of the classic Nested Sampling algorithm, and the toolkit provides a common interface to the Nested Sampling implementations MultiNest, PolyChord, and DNest4. Gleipnir also has some PySB model-specific utilities, including nestedsample_it/NestedSampleIt and HypSelector (read more under the PySB Utilities section). @@ -130,7 +131,7 @@ Notes: ### HypBuilder If you want use the HypSelector tool from gleipnir.pysb_utilities then you -need to have [HypBuilder](git clone https://github.com/LoLab-VU/HypBuilder): +need to have [HypBuilder](https://github.com/LoLab-VU/HypBuilder): ``` conda install -c blakeaw hypbuilder ```