bsamGP (1.2.1)

0 users

Bayesian Spectral Analysis Models using Gaussian Process Priors.

http://statlab2.korea.ac.kr/software/bsamgp
http://cran.r-project.org/web/packages/bsamGP

Contains functions to perform Bayesian inference using a spectral analysis of Gaussian process priors. Gaussian processes are represented with a Fourier series based on cosine basis functions. Currently the package includes parametric linear models, partial linear additive models with/without shape restrictions, generalized linear additive models with/without shape restrictions, and density estimation model. To maximize computational efficiency, the actual Markov chain Monte Carlo sampling for each model is done using codes written in FORTRAN 90. This software has been developed using funding supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (no. NRF-2016R1D1A1B03932178 and no. NRF-2017R1D1A3B03035235).

Maintainer: Beomjo Park
Author(s): Seongil Jo [aut, cre], Taeryon Choi [aut], Beomjo Park [aut, cre], Peter J. Lenk [ctb]

License: GPL (>= 2)

Uses: ggplot2, gridExtra, MASS

Released 10 months ago.


6 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

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


Related packages: BACCO, BMA, BayHaz, BayesTree, BayesValidate, Bolstad, DPpackage, EbayesThresh, HI, Hmisc, LearnBayes, MCMCpack, MNP, MasterBayes, R2WinBUGS, RJaCGH, Runuran, arm, bayesSurv, bayesm(20 best matches, based on common tags.)


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

Visit bsamGP on R Graphical Manual.