bayesQR (2.3)
Bayesian Quantile Regression.
http://cran.r-project.org/web/packages/bayesQR
Bayesian quantile regression using the asymmetric Laplace distribution, both continuous as well as binary dependent variables are supported. The package consists of implementations of the methods of Yu & Moyeed (2001) , Benoit & Van den Poel (2012) and Al-Hamzawi, Yu & Benoit (2012) . To speed up the calculations, the Markov Chain Monte Carlo core of all algorithms is programmed in Fortran and called from R.
Maintainer:
Dries F. Benoit
Author(s): Dries F. Benoit, Rahim Al-Hamzawi, Keming Yu, Dirk Van den Poel
License: GPL (>= 2)
Uses: Does not use any package
Released almost 3 years ago.
7 previous versions
- bayesQR_2.2. Released over 5 years ago.
- bayesQR_2.1. Released almost 7 years ago.
- bayesQR_2.0. Released almost 7 years ago.
- bayesQR_1.3. Released over 8 years ago.
- bayesQR_1.2. Released over 8 years ago.
- bayesQR_1.1. Released over 8 years ago.
- bayesQR_1.0. Released over 8 years ago.
Ratings
Overall: |
|
Documentation: |
|
Log in to vote.
Reviews
No one has written a review of bayesQR yet. Want to be the first? Write one now.
Related packages: BACCO, BMA, BayHaz, BayesTree, BayesValidate, Bolstad, EbayesThresh, HI, Hmisc, LearnBayes, MCMCpack, MNP, MasterBayes, R2WinBUGS, RJaCGH, Runuran, arm, bayesSurv, bayesm, bayesmix … (20 best matches, based on common tags.)
Search for bayesQR on google, google scholar, r-help, r-devel.
Visit bayesQR on R Graphical Manual.
