Package: MisRepARMA 0.0.2
David Moriña Soler
MisRepARMA: Misreported Time Series Analysis
Provides a simple and trustworthy methodology for the analysis of misreported continuous time series. See Moriña, D, Fernández-Fontelo, A, Cabaña, A, Puig P. (2021) <arxiv:2003.09202v2>.
Authors:
MisRepARMA_0.0.2.tar.gz
MisRepARMA_0.0.2.zip(r-4.5)MisRepARMA_0.0.2.zip(r-4.4)MisRepARMA_0.0.2.zip(r-4.3)
MisRepARMA_0.0.2.tgz(r-4.5-any)MisRepARMA_0.0.2.tgz(r-4.4-any)MisRepARMA_0.0.2.tgz(r-4.3-any)
MisRepARMA_0.0.2.tar.gz(r-4.5-noble)MisRepARMA_0.0.2.tar.gz(r-4.4-noble)
MisRepARMA_0.0.2.tgz(r-4.4-emscripten)MisRepARMA_0.0.2.tgz(r-4.3-emscripten)
MisRepARMA.pdf |MisRepARMA.html✨
MisRepARMA/json (API)
| # Install 'MisRepARMA' in R: |
| install.packages('MisRepARMA', repos = c('https://dmorinya.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 4 years agofrom:622421b0b4. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 12 2025 |
| R-4.5-win | OK | Feb 12 2025 |
| R-4.5-mac | OK | Feb 12 2025 |
| R-4.5-linux | OK | Feb 12 2025 |
| R-4.4-win | OK | Feb 12 2025 |
| R-4.4-mac | OK | Feb 12 2025 |
| R-4.3-win | OK | Feb 12 2025 |
| R-4.3-mac | OK | Feb 12 2025 |
Exports:estimatefitMisRepARMAprint.summary.fitMisRepARMAran.genfreconstructsummary.fitMisRepARMA
Dependencies:askpassbase64encbootbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemixtoolsmunsellnlmeopensslpillarpkgconfigplotlypromisespurrrquadprogquantmodR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalessegmentedstringistringrsurvivalsystibbletidyrtidyselecttinytextseriesTTRutf8vctrsviridisLitewithrxfunxtsyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Misreported time series analysis | MisRepARMA-package MisRepARMA |
| Fit ARMA model to misreported time series data | fitMisRepARMA |
| Reconstruct the most likely series | reconstruct |