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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:e2449a333a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 25 2024 |
| R-4.5-linux | OK | Nov 25 2024 |
Exports:distance.LCDMHubble.LCDMlira
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Angular diameter distance in a LCDM universe | distance.LCDM |
| Hubble parameter | Hubble.LCDM |
| LInear Regression in Astronomy | lira |