XLS: A Modeling Approach that Optimizes Future Errors in Least Squares
Given the date column as an ascending entry, future errors are included in the sum of squares of error that should be minimized based on the number of steps and weights you determine. Thus, it is prevented that the variables affect each other's coefficients unrealistically.
| Version: | 0.1.0 |
| Imports: | mpoly |
| Suggests: | rmarkdown, knitr |
| Published: | 2022-03-10 |
| Author: | Samet Sokel  [aut,
cre],
Yavuz Acar [aut, rev] |
| Maintainer: | Samet Sokel <a_s at eskisehir.edu.tr> |
| BugReports: | https://github.com/sametsoekel/eXtreme-Least-Squares/issues |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | XLS results |
Documentation:
| Reference manual: | XLS.pdf |
Downloads:
| Package source: | XLS_0.1.0.tar.gz |
| Windows binaries: | r-devel: XLS_0.1.0.zip, r-release: XLS_0.1.0.zip, r-oldrel: XLS_0.1.0.zip |
| macOS binaries: | r-release (arm64): XLS_0.1.0.tgz, r-oldrel (arm64): XLS_0.1.0.tgz, r-release (x86_64): XLS_0.1.0.tgz, r-oldrel (x86_64): XLS_0.1.0.tgz |
| Old sources: | XLS archive |
Linking:
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