Package: regspec 2.7

Ben Powell

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:Ben Powell [aut, cre], Guy Nason [aut]

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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • 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.

1.00 score 6 scripts 248 downloads 1 mentions 5 exports 0 dependencies

Last updated 1 years agofrom:e470a388de. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 16 2024
R-4.5-linuxOKDec 16 2024

Exports:basisGaussboundhindcastlogspec2covregspec

Dependencies: