Package: bsamGP
Type: Package
Title: Bayesian Spectral Analysis Models using Gaussian Process Priors
Version: 1.0
Date: 2017-08-05
Author: Seongil Jo [aut, cre], 
    Taeryon Choi [aut], 
    Beomjo Park [aut, cre],
    Peter J. Lenk [ctb]
Maintainer: Beomjo Park <beomjo@korea.ac.kr>
Imports: MASS, ggplot2, gridExtra
Description: 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.
License: GPL (>= 2)
URL: http://statlab2.korea.ac.kr/software/bsam
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-08-05 05:38:16 UTC; Beomjo
Repository: CRAN
Date/Publication: 2017-08-05 10:25:00 UTC
