pith. sign in

arxiv: 1608.00990 · v1 · pith:UN7NDGPJnew · submitted 2016-08-02 · 📊 stat.CO · physics.data-an

Barrett: out-of-core processing of MultiNest output

classification 📊 stat.CO physics.data-an
keywords barrettprocessingmultinestout-of-coreachievedalgorithmallowingarbitrarily
0
0 comments X
read the original abstract

Barrett is a Python package for processing and visualising statistical inferences made using the nested sampling algorithm MultiNest. The main differential feature from competitors are full out-of-core processing allowing barrett to handle arbitrarily large datasets. This is achieved by using the HDF5 data format.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.