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bsamGP  

Bayesian Spectral Analysis Models using Gaussian Process Priors
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bsamGP", "1.2.5")



Attach the package and use:
library("bsamGP")
Maintained by
Beomjo Park
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-06
Latest Update: 2022-03-17
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. 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).
How to cite:
Beomjo Park (2017). bsamGP: Bayesian Spectral Analysis Models using Gaussian Process Priors. R package version 1.2.5, https://cran.r-project.org/web/packages/bsamGP
Previous versions and publish date:
1.0.1 (2017-08-06 11:31), 1.0 (2017-08-05 12:25), 1.1.0 (2017-10-22 16:15), 1.1.1 (2017-11-27 05:21), 1.1.2 (2018-01-03 17:37), 1.2.0 (2018-06-10 08:04), 1.2.1 (2018-06-15 15:10), 1.2.2 (2019-07-29 17:00), 1.2.3 (2020-03-21 18:50), 1.2.4 (2022-03-17 21:40)
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