lira: LInear Regression in Astronomy

Performs Bayesian linear regression in astronomy. The method accounts for heteroscedastic errors in both the independent and the dependent variables, intrinsic scatters (in both variables), time evolution of slopes, normalization and scatters, Malmquist and Eddington bias, and break of linearity. The posterior distribution of the regression parameters is sampled with a Gibbs method exploiting the JAGS library.

Author
Mauro Sereno
Date of publication
2016-03-21 00:20:08
Maintainer
Mauro Sereno <mauro.sereno@unibo.it>
License
GPL-2
Version
1.2.0

View on CRAN

Man pages

distance.LCDM
Angular diameter distance in a LCDM universe
Hubble.LCDM
Hubble parameter
lira
LInear Regression in Astronomy

Files in this package

lira
lira/NAMESPACE
lira/R
lira/R/Hubble.LCDM.R
lira/R/lira.R
lira/R/distance.LCDM.R
lira/MD5
lira/DESCRIPTION
lira/man
lira/man/distance.LCDM.Rd
lira/man/Hubble.LCDM.Rd
lira/man/lira.Rd