acf.bspec               Posterior autocovariances
bspec                   Computing the spectrum's posterior distribution
bspec-package           Bayesian Spectral Inference
empiricalSpectrum       Compute the "empirical" spectrum of a time
                        series.
expectation             Expectations and variances of distributions
likelihood              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
ppsample                Posterior predictive sampling
quantile.bspec          Quantiles of the posterior spectrum
sample.bspec            Posterior sampling
snr                     Compute the signal-to-noise ratio (SNR) of a
                        signal
temper                  Tempering of (posterior) distributions
temperature             Querying the tempering parameter
tukeywindow             Compute windowing functions for spectral time
                        series analysis.
welchPSD                Power spectral density estimation using Welch's
                        method.
