Package: esemifar 2.0.1
esemifar: Smoothing Long-Memory Time Series
The nonparametric trend and its derivatives in equidistant time series (TS) with long-memory errors can be estimated. The estimation is conducted via local polynomial regression using an automatically selected bandwidth obtained by a built-in iterative plug-in algorithm or a bandwidth fixed by the user. The smoothing methods of the package are described in Letmathe, S., Beran, J. and Feng, Y., (2023) <doi:10.1080/03610926.2023.2276049>.
Authors:
esemifar_2.0.1.tar.gz
esemifar_2.0.1.tar.gz(r-4.5-noble)esemifar_2.0.1.tar.gz(r-4.4-noble)
esemifar_2.0.1.tgz(r-4.4-emscripten)esemifar_2.0.1.tgz(r-4.3-emscripten)
esemifar.pdf |esemifar.html✨
esemifar/json (API)
NEWS
# Install 'esemifar' in R: |
install.packages('esemifar', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:39efaf28b5. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 04 2024 |
R-4.5-linux-x86_64 | OK | Dec 04 2024 |
Exports:arma_to_ararma_to_macritMatlmd_to_coefdsmoothlmesemifarfarima_to_arfarima_to_magsmoothtsmoothlm
Dependencies:clicodetoolscolorspacecrayondigestfansifarverfracdifffurrrfuturefuture.applyggplot2globalsgluegtablehmsisobandlabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmeparallellypillarpkgconfigprettyunitsprogressprogressrpurrrR6RColorBrewerRcppRcppArmadillorlangscalessmootstibbleutf8vctrsviridisLitewithr