Package: lira 2.0.1

Mauro Sereno

lira: 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.

Authors:Mauro Sereno

lira_2.0.1.tar.gz
lira_2.0.1.tar.gz(r-4.5-noble)lira_2.0.1.tar.gz(r-4.4-noble)
lira_2.0.1.tgz(r-4.4-emscripten)lira_2.0.1.tgz(r-4.3-emscripten)
lira.pdf |lira.html
lira/json (API)

# Install 'lira' in R:
install.packages('lira', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

1.59 score 39 scripts 208 downloads 3 exports 3 dependencies

Last updated 7 years agofrom:e2449a333a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linuxOKNov 25 2024

Exports:distance.LCDMHubble.LCDMlira

Dependencies:codalatticerjags