lira: LInear Regression in Astronomy
Version 2.0.0

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
Date of publication2017-10-27 11:41:41 UTC
MaintainerMauro Sereno <[email protected]>
LicenseGPL-2
Version2.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("lira")

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lira documentation built on Nov. 17, 2017, 4:36 a.m.