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'))

Peer review:

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

Datasets:

On CRAN:

igate

7 exports 1 stars 0.63 score 61 dependencies 3 scripts 180 downloads

Last updated 4 years agofrom:56d9d1627f. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winNOTESep 10 2024
R-4.5-linuxNOTESep 10 2024
R-4.4-winNOTESep 10 2024
R-4.4-macNOTESep 10 2024
R-4.3-winNOTESep 10 2024
R-4.3-macNOTESep 10 2024

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

Dependencies:base64encbslibcachemclicolorspacecpp11digestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolsisobandjquerylibjsonlitekableExtraknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrstudioapisassscalesstringistringrsvglitesystemfontstibbletidyselecttinytexutf8vctrsviridisLitewithrxfunxml2xtableyaml

A short introduction to the iGATE framework with R

Rendered fromigate-vignette.Rmdusingknitr::rmarkdownon Sep 10 2024.

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