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BayesSpec  

Bayesian Spectral Analysis Techniques
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesSpec", "0.5.3")



Attach the package and use:
library("BayesSpec")
Maintained by
Andrew Ferris
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-22
Latest Update:
Description:
An implementation of methods for spectral analysis using the Bayesian framework. It includes functions for modelling spectrum as well as appropriate plotting and output estimates. There is segmentation capability with RJ MCMC (Reversible Jump Markov Chain Monte Carlo). The package takes these methods predominantly from the 2012 paper "AdaptSPEC: Adaptive Spectral Estimation for Nonstationary Time Series" .
How to cite:
Andrew Ferris (2017). BayesSpec: Bayesian Spectral Analysis Techniques. R package version 0.5.3, https://cran.r-project.org/web/packages/BayesSpec. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.5.3 (2017-02-22 08:42)
Other packages that cited BayesSpec R package
View BayesSpec citation profile
Other R packages that BayesSpec depends, imports, suggests or enhances
Functions, R codes and Examples using the BayesSpec R package
Some associated functions: adaptspec . intracranial_eeg . simulated_piecewise . 
Some associated R codes: adaptspec.R . beta_derivs.R . birth_fun.R . death_fun.R . intracranial_eeg_data.R . lin_basis_func.R . post_beta.R . simulated_piecewise_data.R . whittle_like.R . within_fun.R . zzz.R .  Full BayesSpec package functions and examples
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