Other packages > Find by keyword >

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", "1.2.7")



Attach the package and use:
library("bsamGP")
Maintained by
Beomjo Park
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-05
Latest Update: 2025-07-18
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 1.2.7, https://cran.r-project.org/web/packages/bsamGP. Accessed 07 Mar. 2026.
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), 1.2.5 (2024-03-18 09:10), 1.2.6 (2025-04-03 06:00)
Other packages that cited bsamGP R package
View bsamGP citation profile
Other R packages that bsamGP depends, imports, suggests or enhances
Complete documentation for bsamGP
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  
ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
Download / Learn more Package Citations See dependency  
SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
Download / Learn more Package Citations See dependency  
testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA