## Why should I use bsplinePsd?

This package allows the user to flexibly estimate the spectral
density of a stationary time series using a Bayesian nonparametric
B-spline prior (of any degree). It works particularly well for
complicated spectral structures (compared to the Bernstein polynomial
prior).

## How do I use bsplinePsd?

The primary function gibbs_bspline is straightforward to use. Most of
the arguments are defaults (i.e., a noninformative prior). All you need
to do is input a numeric vector (your time series), the number of
iterations to run the MCMC algorithm for, and the amount of burn-in.

## How do I get bsplinePsd?

Download from CRAN. Use install.packages(“bsplinePsd”) in R.