# Bayesian Spectral Inference

## Help Pages

 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.