lira (2.0.1)

0 users

LInear Regression in Astronomy.

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.

Maintainer: Mauro Sereno
Author(s): Mauro Sereno

License: GPL-2

Uses: coda, rjags

Released almost 2 years ago.

3 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of lira yet. Want to be the first? Write one now.

Related packages: AnalyzeFMRI, PET, PTAk, TIMP, WilcoxCV, bvls, chemCal, clustvarsel, compositions, drc, elasticnet, fastICA, fingerprint, homals, kohonen, leaps, lspls, minpack.lm, nlme, nnls(20 best matches, based on common tags.)

Search for lira on google, google scholar, r-help, r-devel.

Visit lira on R Graphical Manual.