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.


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install.packages("lira")

2.0.1 by Mauro Sereno, 3 years ago


Browse source code at https://github.com/cran/lira


Authors: Mauro Sereno


Documentation:   PDF Manual  


Task views: Chemometrics and Computational Physics


GPL-2 license


Depends on coda, rjags

System requirements: JAGS (>= 3.0.0) (see http://mcmc-jags.sourceforge.net)


See at CRAN