.. intro .. | Better approximations using the Euler–Maclaurin formula | Session Information | Conclusion
Package: longmemo 1.1-4
longmemo: Statistics for Long-Memory Processes (Book Jan Beran), and Related Functionality
Datasets and Functionality from 'Jan Beran' (1994). Statistics for Long-Memory Processes; Chapman & Hall. Estimation of Hurst (and more) parameters for fractional Gaussian noise, 'fARIMA' and 'FEXP' models.
Authors:
longmemo_1.1-4.tar.gz
longmemo_1.1-4.zip(r-4.7)longmemo_1.1-4.zip(r-4.6)longmemo_1.1-4.zip(r-4.5)
longmemo_1.1-4.tgz(r-4.6-any)longmemo_1.1-4.tgz(r-4.5-any)
longmemo_1.1-4.tar.gz(r-4.7-any)longmemo_1.1-4.tar.gz(r-4.6-any)
longmemo_1.1-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
longmemo/json (API)
| # Install 'longmemo' in R: |
| install.packages('longmemo', repos = c('https://mmaechler.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- ethernetTraffic - Ethernet Traffic Data Set
- NBSdiff1kg - NBS measurement deviations from 1 kg
- NhemiTemp - Northern Hemisphere Temperature
- NileMin - Nile River Minima, yearly 622-1284
- videoVBR - Video VBR data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:9591602368. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 127 | ||
| linux-release-x86_64 | OK | 99 | ||
| macos-release-arm64 | OK | 112 | ||
| macos-oldrel-arm64 | OK | 98 | ||
| windows-devel | OK | 90 | ||
| windows-release | OK | 80 | ||
| windows-oldrel | OK | 137 | ||
| wasm-release | OK | 85 |
Exports:.ffreqB.specFGNCetaARIMACetaFGNckARMA0ckFGN0FEXPestllplotlxplotperQetasimARMA0simFGN.fftsimFGN0simGaussspecARIMAspecFGNWhittleEst
Dependencies:
