Package : python-getdist > RPM : python-getdist-0.2.7-1.mga6.src.rpm
Basic items
Name | python-getdist |
Version | 0.2.7 |
Release | 1.mga6 |
URL | https://pypi.python.org/pypi/GetDist |
Group | Development/Python |
Summary | A samples analyzer for Markov Chain Monte Carlo (MCMC) |
Size | 155KB |
Arch | noarch |
License | MIT |
Description
Getdist is a python package for analyzing Monte Carlo samples,
including correlated samples from Markov Chain Monte Carlo (MCMC). It
provides a point and click GUI allowing to select chain files, view
plots, extract marginalized constraints, generate LaTeX tables and
more. GetDist is also a plotting library which can be imported in any
python code to make custom publication-ready multi-dimensional and
triangle plots. The underlying code incorporates an automated optimal
bandwidth choice to extract smooth 1D and 2D densities based on the
Botev-Sheather-Jones method. Convergence diagnostics are also reported
by computing correlation length and diagonalized Gelman-Rubin
statistics.
including correlated samples from Markov Chain Monte Carlo (MCMC). It
provides a point and click GUI allowing to select chain files, view
plots, extract marginalized constraints, generate LaTeX tables and
more. GetDist is also a plotting library which can be imported in any
python code to make custom publication-ready multi-dimensional and
triangle plots. The underlying code incorporates an automated optimal
bandwidth choice to extract smooth 1D and 2D densities based on the
Botev-Sheather-Jones method. Convergence diagnostics are also reported
by computing correlation length and diagonalized Gelman-Rubin
statistics.
Media information
Distribution release | Mageia 6 |
Media name | core-release |
Media arch | x86_64 |
Advanced items
Source RPM | NOT IN DATABASE ?! |
Build time | 2017-04-03 18:31:16 |
Changelog | View in Sophie |
Files | View in Sophie |
Dependencies | View in Sophie |