Bayesian Spectral Inference

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Documentation for package ‘bspec’ version 1.6

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bspec-package Bayesian Spectral Inference
acf Posterior autocovariances
acf.bspec Posterior autocovariances
acf.default Posterior autocovariances
bspec Computing the spectrum's posterior distribution
bspec.default Computing the spectrum's posterior distribution
cosinewindow Compute windowing functions for spectral time series analysis.
dposterior Prior, likelihood and posterior
dposterior.bspec Prior, likelihood and posterior
dprior Prior, likelihood and posterior
dprior.bspec Prior, likelihood and posterior
empiricalSpectrum Compute the "empirical" spectrum of a time series.
expectation Expectations and variances of distributions
expectation.bspec Expectations and variances of distributions
expectation.bspecACF Expectations and variances of distributions
hammingwindow Compute windowing functions for spectral time series analysis.
hannwindow Compute windowing functions for spectral time series analysis.
is.bspec Computing the spectrum's posterior distribution
is.bspecACF Posterior autocovariances
kaiserwindow Compute windowing functions for spectral time series analysis.
likelihood Prior, likelihood and posterior
likelihood.bspec Prior, likelihood and posterior
marglikelihood Prior, likelihood and posterior
marglikelihood.bspec Prior, likelihood and posterior
matchedfilter Filter a noisy time series for a signal of given shape
one.sided Conversion between one- and two-sided spectra
one.sided.bspec Conversion between one- and two-sided spectra
plot.bspec Computing the spectrum's posterior distribution
plot.bspecACF Posterior autocovariances
ppsample Posterior predictive sampling
ppsample.bspec Posterior predictive sampling
print.bspec Computing the spectrum's posterior distribution
print.bspecACF Posterior autocovariances
quantile.bspec Quantiles of the posterior spectrum
sample Posterior sampling
sample.bspec Posterior sampling
sample.default Posterior sampling
snr Compute the signal-to-noise ratio (SNR) of a signal
squarewindow Compute windowing functions for spectral time series analysis.
studenttfilter Filter a noisy time series for a signal of given shape
temper Tempering of (posterior) distributions
temper.bspec Tempering of (posterior) distributions
temperature Querying the tempering parameter
temperature.bspec Querying the tempering parameter
trianglewindow Compute windowing functions for spectral time series analysis.
tukeywindow Compute windowing functions for spectral time series analysis.
two.sided Conversion between one- and two-sided spectra
two.sided.bspec Conversion between one- and two-sided spectra
variance Expectations and variances of distributions
variance.bspec Expectations and variances of distributions
variance.bspecACF Expectations and variances of distributions
welchPSD Power spectral density estimation using Welch's method.
welchwindow Compute windowing functions for spectral time series analysis.