Rendered from
MB.Rmdusingknitr::rmarkdownPackage: MB 0.1.1
Bushra Alsaeed
MB: The Use of Marginal Distributions in Conditional Forecasting
A new way to predict time series using the marginal distribution table in the absence of the significance of traditional models.
Authors:
MB_0.1.1.tar.gz
MB_0.1.1.zip(r-4.7-any)MB_0.1.1.zip(r-4.6-any)
MB_0.1.1.tar.gz(r-4.7-any)MB_0.1.1.tar.gz(r-4.6-any)
MB_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MB/json (API)
| # Install 'MB' in R: |
| install.packages('MB', 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 from:242cfd6a43. Checks:4 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 127 | ||
| source / vignettes | OK | 180 | ||
| linux-release | NOTE | 112 | ||
| windows-devel | NOTE | 62 | ||
| windows-release | NOTE | 62 | ||
| wasm-release | OK | 106 |
Exports:ff
Dependencies:cligluelifecyclemagrittrpillarpkgconfigrlangtibbleutf8vctrs
