lira: LInear Regression in Astronomy

Performs Bayesian linear regression and forecasting in astronomy. The method accounts for heteroscedastic errors in both the independent and the dependent variables, intrinsic scatters (in both variables) and scatter correlation, time evolution of slopes, normalization, scatters, Malmquist and Eddington bias, upper limits 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 CRAN
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lira documentation built on Feb. 6, 2018, 5:04 p.m.