A symbolic wrapper to indicate a nonparametric term in a formula argument to bsaq, bsaqdpm, bsar, bsardpm, and gbsar.

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).

Beomjo Park

bsamGP

Bayesian Spectral Analysis Models using Gaussian Process Priors

Seongil Jo

Taeryon Choi

fs function

<dl> <dt>x</dt>
<dd>a vector of the univariate covariate for nonparametric component</dd></dl>

Arguments

Specify a Fourier Basis Fit in a BSAM Formula — fs

<dl>

 <dt>x</dt>
<dd>a vector of the univariate covariate for nonparametric component</dd>

</dl>

fs: Specify a Fourier Basis Fit in a BSAM Formula

Description

Usage

Arguments

Examples