| acf | 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 |
| onesided | Conversion between one- and two-sided spectra |
| ppsample | Posterior predictive sampling |
| quantile | Quantiles of the posterior spectrum |
| sample | Posterior sampling |
| snr | Compute the signal-to-noise ratio (SNR) of a signal |
| temper | Tempering of (posterior) distributions |
| temperature | Querying the tempering parameter |
| welchPSD | Power spectral density estimation using Welch's method. |
| windowing | Compute windowing functions for spectral time series... |
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