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lira  

LInear Regression in Astronomy
View on CRAN: Click here


Download and install lira package within the R console
Install from CRAN:
install.packages("lira")

Install from Github:
library("remotes")
install_github("cran/lira")

Install by package version:
library("remotes")
install_version("lira", "2.0.1")



Attach the package and use:
library("lira")
Maintained by
Mauro Sereno
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-17
Latest Update: 2018-02-06
Description:
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.
How to cite:
Mauro Sereno (2015). lira: LInear Regression in Astronomy. R package version 2.0.1, https://cran.r-project.org/web/packages/lira. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2015-09-17 14:49), 1.2.0 (2016-03-21 00:20), 2.0.0 (2017-10-27 13:41)
Other packages that cited lira R package
View lira citation profile
Other R packages that lira depends, imports, suggests or enhances
Complete documentation for lira
Functions, R codes and Examples using the lira R package
Some associated functions: Hubble.LCDM . distance.LCDM . lira . 
Some associated R codes: Hubble.LCDM.R . distance.LCDM.R . lira.R .  Full lira package functions and examples
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