Package: bsplinePsd Type: Package Title: Bayesian Nonparametric Spectral Density Estimation Using B-Spline Priors Version: 0.6.0 Date: 2018-10-10 Author: Matthew C. Edwards [aut, cre], Renate Meyer [aut], Nelson Christensen [aut] Maintainer: Matthew C. Edwards Description: Implementation of a Metropolis-within-Gibbs MCMC algorithm to flexibly estimate the spectral density of a stationary time series. The algorithm updates a nonparametric B-spline prior using the Whittle likelihood to produce pseudo-posterior samples and is based on the work presented in Edwards, M.C., Meyer, R. and Christensen, N., Statistics and Computing (2018). . License: GPL (>= 3) Imports: Rcpp (>= 0.12.5), splines (>= 3.2.3) LinkingTo: Rcpp RoxygenNote: 6.0.1 NeedsCompilation: yes Packaged: 2018-10-18 22:49:14 UTC; mattedwards Repository: CRAN Date/Publication: 2018-10-18 23:00:03 UTC