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]

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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'))

Peer review:

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

On CRAN:

2.70 score 10 scripts 546 downloads 3 exports 47 dependencies

Last updated 3 years agofrom:43d10dc78a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 10 2024
R-4.5-winOKOct 10 2024
R-4.5-linuxOKOct 10 2024
R-4.4-winOKOct 10 2024
R-4.4-macOKOct 10 2024
R-4.3-winOKOct 10 2024
R-4.3-macOKOct 10 2024

Exports:xls.fitxls.objfunxls.prep

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegmpgtableisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmgcvmpolymunsellnlmeorthopolynompartitionspillarpkgconfigplyrpolynompurrrR6rbibutilsRColorBrewerRcppRdpackrlangscalessetsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr