msereno/lira: LInear Regression in Astronomy

Performs Bayesian linear regression in astronomy. The method accounts for heteroscedastic errors in both the independent and the dependent variables, intrinsic scatters (in both variables), time evolution of slopes, normalization and scatters, Malmquist and Eddington bias, and break of linearity. The posterior distribution of the regression parameters is sampled with a Gibbs method exploiting the JAGS library.

Getting started

Package details

AuthorMauro Sereno
MaintainerMauro Sereno <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
msereno/lira documentation built on May 22, 2017, 2:20 p.m.