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-4.7-any)XLS_0.1.0.zip(r-4.6-any)XLS_0.1.0.zip(r-4.5-any)
XLS_0.1.0.tgz(r-4.6-any)XLS_0.1.0.tgz(r-4.5-any)
XLS_0.1.0.tar.gz(r-4.7-any)XLS_0.1.0.tar.gz(r-4.6-any)
XLS_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

2.74 score 11 scripts 393 downloads 3 exports 39 dependencies

Last updated from:43d10dc78a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK119
source / vignettesOK179
linux-releaseOK106
macos-releaseOK150
macos-oldrelOK155
windows-develOK73
windows-releaseOK70
windows-oldrelOK73
wasm-releaseOK99

Exports:xls.fitxls.objfunxls.prep

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegmpgtableisobandlabelinglifecyclemagrittrmpolyorthopolynompartitionspillarpkgconfigplyrpolynompurrrR6rbibutilsRColorBrewerRcppRdpackrlangS7scalessetsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr