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 unibo.it>
License:	GPL-2
NeedsCompilation:	no
SystemRequirements:	JAGS (>= 3.0.0) (see http://mcmc-jags.sourceforge.net)
In views:	ChemPhys
CRAN checks:	lira results

Documentation:

Reference manual:

lira.pdf

Downloads:

Package source:	lira_2.0.1.tar.gz
Windows binaries:	r-devel: lira_2.0.1.zip, r-release: lira_2.0.1.zip, r-oldrel: lira_2.0.1.zip
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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