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  20160321 00:20:08 
Maintainer  Mauro Sereno <mauro.sereno@unibo.it> 
License  GPL2 
Version  1.2.0 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:



All man pages Function index File listing
Man pages  

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

Hubble.LCDM  Man page Source code 
distance.LCDM  Man page Source code 
lira  Man page Source code 
Files  

NAMESPACE
 
R
 
R/Hubble.LCDM.R  
R/lira.R  
R/distance.LCDM.R  
MD5
 
DESCRIPTION
 
man
 
man/distance.LCDM.Rd  
man/Hubble.LCDM.Rd  
man/lira.Rd 
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs in the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.