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LIRA: LInear Regression in Astronomy

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Ada Coda
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LIRA: LInear Regression in Astronomy

Postby Ada Coda » Mon Feb 15, 2016 10:38 pm

LIRA: LInear Regression in Astronomy

Abstract: LIRA (LInear Regression in Astronomy) performs Bayesian linear regression that 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 (ascl:1209.002) library.

Credit: Sereno, Mauro


Bibcode: 2016ascl.soft02006S

ID: ascl:1602.006
Last edited by Ada Coda on Mon Feb 15, 2016 10:39 pm, edited 1 time in total.
Reason: Updated code entry.

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