Package: XLS 0.1.0

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.

Authors:Samet Sokel [aut, cre], Yavuz Acar [aut, rev]

XLS_0.1.0.tar.gz
XLS_0.1.0.zip(r-4.5)XLS_0.1.0.zip(r-4.4)XLS_0.1.0.zip(r-4.3)
XLS_0.1.0.tgz(r-4.5-any)XLS_0.1.0.tgz(r-4.4-any)XLS_0.1.0.tgz(r-4.3-any)
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XLS.pdf |XLS.html✨
XLS/json (API)

# Install 'XLS' in R:
install.packages('XLS', repos = c('https://sametsoekel.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sametsoekel/extreme-least-squares/issues

On CRAN:

Conda:

2.70 score 10 scripts 532 downloads 3 exports 47 dependencies

Last updated 3 years agofrom:43d10dc78a. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-winOKMar 09 2025
R-4.5-macOKMar 09 2025
R-4.5-linuxOKMar 09 2025
R-4.4-winOKMar 09 2025
R-4.4-macOKMar 09 2025
R-4.4-linuxOKMar 09 2025
R-4.3-winOKMar 09 2025
R-4.3-macOKMar 09 2025

Exports:xls.fitxls.objfunxls.prep

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegmpgtableisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmgcvmpolymunsellnlmeorthopolynompartitionspillarpkgconfigplyrpolynompurrrR6rbibutilsRColorBrewerRcppRdpackrlangscalessetsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr