pylira

Python wrapper for the LIRA library. LIRA (LInear Regression in Astronomy, Sereno 2016) is an R library that performs linear regression using Bayesian inference and Gibbs sampling. From the official documentation:

[LIRA] 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.

See official documentation (https://cran.r-project.org/web/packages/lira/lira.pdf) and accompanying paper (Sereno 2016, https://ui.adsabs.harvard.edu/abs/2016MNRAS.455.2149S/abstract)

Installation

• For the Python library, just clone this repository and install it via pip:

git clone [email protected]:fkeruzore/pylira.git
cd pylira ; pip install .

• Other requirements: R and jags must be installed independently. Once that's done, the first call to pylira will take care of installing necessary R libraries if needed.

Example

Several running examples can be found in test.ipynb