Package: multiwave 1.4

multiwave: Estimation of Multivariate Long-Memory Models Parameters

Computation of an estimation of the long-memory parameters and the long-run covariance matrix using a multivariate model (Lobato (1999) <doi:10.1016/S0304-4076(98)00038-4>; Shimotsu (2007) <doi:10.1016/j.jeconom.2006.01.003>). Two semi-parametric methods are implemented: a Fourier based approach (Shimotsu (2007) <doi:10.1016/j.jeconom.2006.01.003>) and a wavelet based approach (Achard and Gannaz (2016) <doi:10.1111/jtsa.12170>).

Authors:Sophie Achard [aut, cre], Irene Gannaz [aut]

multiwave_1.4.tar.gz
multiwave_1.4.zip(r-4.5)multiwave_1.4.zip(r-4.4)multiwave_1.4.zip(r-4.3)
multiwave_1.4.tgz(r-4.4-any)multiwave_1.4.tgz(r-4.3-any)
multiwave_1.4.tar.gz(r-4.5-noble)multiwave_1.4.tar.gz(r-4.4-noble)
multiwave_1.4.tgz(r-4.4-emscripten)multiwave_1.4.tgz(r-4.3-emscripten)
multiwave.pdf |multiwave.html
multiwave/json (API)

# Install 'multiwave' in R:
install.packages('multiwave', repos = c('https://achardso.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • brainHCP - Time series obtained by an fMRI experiment on the brain

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.86 score 1 packages 24 scripts 154 downloads 19 exports 0 dependencies

Last updated 6 years agofrom:b2aa656055. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:compute_njDWTexactfivarmaK_evalmfwmfw_cov_evalmfw_evalmwwmww_cov_evalmww_evalmww_wavmww_wav_cov_evalmww_wav_evalpsi_hat_exactscaling_filterscaling_functiontoeplitz_nonsymvarmavfracdiff

Dependencies: