Package: igate 0.3.3.902

Stefan Stein

igate: Guided Analytics for Testing Manufacturing Parameters

An implementation of the initial guided analytics for parameter testing and controlband extraction framework. Functions are available for continuous and categorical target variables as well as for generating standardized reports of the conducted analysis. See <https://doi.org/10.1016/j.commatsci.2020.110053> for the paper.

Authors:Stefan Stein [aut, cre]

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NEWS

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

Bug tracker:https://github.com/stefan-stein/igate/issues

Datasets:

On CRAN:

igate

3.70 score 1 stars 3 scripts 159 downloads 7 exports 61 dependencies

Last updated 4 years agofrom:56d9d1627f. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 07 2025
R-4.5-winNOTEFeb 07 2025
R-4.5-macNOTEFeb 07 2025
R-4.5-linuxNOTEFeb 07 2025
R-4.4-winNOTEFeb 07 2025
R-4.4-macNOTEFeb 07 2025
R-4.3-winNOTEFeb 07 2025
R-4.3-macNOTEFeb 07 2025

Exports:categorical.freqplotcategorical.igateigateigate.regressionsreportrobust.categorical.igatevalidate

Dependencies:base64encbslibcachemclicolorspacecpp11digestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolsisobandjquerylibjsonlitekableExtraknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrstudioapisassscalesstringistringrsvglitesystemfontstibbletidyselecttinytexutf8vctrsviridisLitewithrxfunxml2xtableyaml

A short introduction to the iGATE framework with R

Rendered fromigate-vignette.Rmdusingknitr::rmarkdownon Feb 07 2025.

Last update: 2020-10-30
Started: 2019-08-10