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.
| Version: | 1.2.0 |
| Depends: | R (≥ 2.14.0), coda, rjags |
| Published: | 2016-03-21 |
| 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) |
| CRAN checks: | lira results |
| Reference manual: | lira.pdf |
| Package source: | lira_1.2.0.tar.gz |
| Windows binaries: | r-devel: lira_1.2.0.zip, r-release: lira_1.2.0.zip, r-oldrel: lira_1.2.0.zip |
| OS X El Capitan binaries: | r-release: lira_1.2.0.tgz |
| OS X Mavericks binaries: | r-oldrel: lira_1.2.0.tgz |
| Old sources: | lira archive |
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