Package: regspec 2.7
regspec: Non-Parametric Bayesian Spectrum Estimation for Multirate Data
Computes linear Bayesian spectral estimates from multirate data for second-order stationary time series. Provides credible intervals and methods for plotting various spectral estimates. Please see the paper `Should we sample a time series more frequently?' (doi below) for a full description of and motivation for the methodology.
Authors:
regspec_2.7.tar.gz
regspec_2.7.tar.gz(r-4.5-noble)regspec_2.7.tar.gz(r-4.4-noble)
regspec_2.7.tgz(r-4.4-emscripten)regspec_2.7.tgz(r-4.3-emscripten)
regspec.pdf |regspec.html✨
regspec/json (API)
# Install 'regspec' in R: |
install.packages('regspec', repos = 'https://cloud.r-project.org') |
- Dfexample - Synthetic Data for Testing Functions in the regspec Package.
- Dpexample2 - Synthetic Data for Testing Functions in the regspec Package.
- Dpexample3 - Synthetic Data for Testing Functions in the regspec Package.
- retail - Retail Sales Index (RSI) data
- spec.true - Synthetic Data for Testing Functions in the regspec Package.
- trav.mly - Visits abroad by UK residents
- trav.qly - Visits abroad by UK residents
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:e470a388de. Checks:3 OK. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 16 2025 |
R-4.5-linux | OK | Mar 16 2025 |
R-4.4-linux | OK | Mar 16 2025 |
Exports:basisGaussboundhindcastlogspec2covregspec
Dependencies:
Citation
To cite the 'regspec' package in publications use:
Powell B, Nason G, Elliott D, Smith P (2023). Non-parametric Bayesian Spectrum Estimation for Multirate Data. R package version 2.7, https://CRAN.R-project.org/package=regspec.
Nason GP, Powell B, Elliott D, Smith P (2017). “Should we sample a time series more frequently? Decision support via multirate spectrum estimation.” Journal of the Royal Statistical Society, Series A, 180, 353–407. https://academic.oup.com/jrsssa/article/180/2/353/7068239.
Corresponding BibTeX entries:
@Manual{, title = {Non-parametric Bayesian Spectrum Estimation for Multirate Data}, author = {Ben Powell and Guy Nason and Duncan Elliott and Paul Smith}, year = {2023}, note = {R package version 2.7}, url = {https://CRAN.R-project.org/package=regspec}, }
@Article{, title = {Should we sample a time series more frequently? Decision support via multirate spectrum estimation}, author = {G. P. Nason and B. Powell and D. Elliott and P. Smith}, journal = {Journal of the Royal Statistical Society, Series A}, volume = {180}, year = {2017}, pages = {353--407}, url = {https://academic.oup.com/jrsssa/article/180/2/353/7068239}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Non-parametric multirate spectral density estimation via linear Bayes. | regspec-package |
Basis maker. | basis |
Compute the Gauss bounds for a random variable. | Gaussbound |
Interpolate process values from a set of data, and an expectation and variance specification for the process's log spectrum. | hindcast |
Compute autocovariance values from the basis coefficients for the log spectrum. | logspec2cov |
Non-parametric Multirate Spectral Density Estimation via Linear Bayes. | regspec |
Retail Sales Index (RSI) data | retail |
Synthetic Data for Testing Functions in the regspec Package. | Dfexample Dpexample2 Dpexample3 spec.true |
Visits abroad by UK residents | trav.mly trav.qly travel |