Package: tsqn 1.0.0
tsqn: Applications of the Qn Estimator to Time Series (Univariate and Multivariate)
Time Series Qn is a package with applications of the Qn estimator of Rousseeuw and Croux (1993) <doi:10.1080/01621459.1993.10476408> to univariate and multivariate Time Series in time and frequency domains. More specifically, the robust estimation of autocorrelation or autocovariance matrix functions from Ma and Genton (2000, 2001) <doi:10.1111/1467-9892.00203>, <doi:10.1006/jmva.2000.1942> and Cotta (2017) <doi:10.13140/RG.2.2.14092.10883> are provided. The robust pseudo-periodogram of Molinares et. al. (2009) <doi:10.1016/j.jspi.2008.12.014> is also given. This packages also provides the M-estimator of the long-memory parameter d based on the robustification of the GPH estimator proposed by Reisen et al. (2017) <doi:10.1016/j.jspi.2017.02.008>.
Authors:
tsqn_1.0.0.tar.gz
tsqn_1.0.0.zip(r-4.5)tsqn_1.0.0.zip(r-4.4)tsqn_1.0.0.zip(r-4.3)
tsqn_1.0.0.tgz(r-4.4-any)tsqn_1.0.0.tgz(r-4.3-any)
tsqn_1.0.0.tar.gz(r-4.5-noble)tsqn_1.0.0.tar.gz(r-4.4-noble)
tsqn_1.0.0.tgz(r-4.4-emscripten)tsqn_1.0.0.tgz(r-4.3-emscripten)
tsqn.pdf |tsqn.html✨
tsqn/json (API)
# Install 'tsqn' in R: |
install.packages('tsqn', repos = c('https://rogih.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rogih/tsqn/issues
Last updated 6 years agofrom:4974aef3b6. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:corMatQncorQncovMatQncovQnGPH_estimatePerioMrobPerQnrobacf
Dependencies:DEoptimRfracdiffMASSrobustbase