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.

Version: 2.0.1
Depends: R (≥ 2.14.0), coda, rjags
Published: 2018-02-06
DOI: 10.32614/CRAN.package.lira
Author: Mauro Sereno
Maintainer: Mauro Sereno <mauro.sereno at>
License: GPL-2
NeedsCompilation: no
SystemRequirements: JAGS (>= 3.0.0) (see
In views: ChemPhys
CRAN checks: lira results


Reference manual: lira.pdf


Package source: lira_2.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): lira_2.0.1.tgz, r-oldrel (arm64): lira_2.0.1.tgz, r-release (x86_64): lira_2.0.1.tgz, r-oldrel (x86_64): lira_2.0.1.tgz
Old sources: lira archive


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