Package: AID 3.1
AID: Box-Cox Power Transformation
Performs Box-Cox power transformation for different purposes, graphical approaches, assesses the success of the transformation via tests and plots, computes mean and confidence interval for back transformed data.
Authors:
AID_3.1.tar.gz
AID_3.1.zip(r-4.7-any)AID_3.1.zip(r-4.6-any)AID_3.1.zip(r-4.5-any)
AID_3.1.tgz(r-4.6-any)AID_3.1.tgz(r-4.5-any)
AID_3.1.tar.gz(r-4.7-any)AID_3.1.tar.gz(r-4.6-any)
AID_3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
AID/json (API)
| # Install 'AID' in R: |
| install.packages('AID', repos = c('https://osmandag.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f1ad631f93. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 171 | ||
| source / vignettes | OK | 192 | ||
| linux-release | OK | 174 | ||
| macos-release | OK | 134 | ||
| macos-oldrel | OK | 114 | ||
| windows-devel | OK | 123 | ||
| windows-release | OK | 124 | ||
| windows-oldrel | OK | 115 | ||
| wasm-release | OK | 127 |
Exports:boxcoxfrboxcoxlmboxcoxmetaboxcoxncconfInt
Dependencies:bitbit64bootclicliprCompQuadFormcpp11crayoncurldigestdplyrfarvergenericsggplot2glueGPArotationgtablehmsisobandjsonlitelabelinglatticelifecyclelme4magrittrMASSmathjaxrMatrixmetametabookmetadatmetaforminqamnormtnlmenloptrnortestnumDerivpbapplypillarpkgconfigprettyunitsprogresspsychpurrrquadprogquantmodR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasrlangS7scalesstringistringrtibbletidyselecttseriesTTRtzdbutf8vctrsviridisLitevroomwithrxml2xtszoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Box-Cox Power Transformation | AID-package |
| Average Annual Daily Traffic Data | AADT |
| Box-Cox Transformation for One-Way ANOVA | boxcoxfr |
| Box-Cox Transformation for Linear Models | boxcoxlm |
| Ensemble Based Box-Cox Transformation via Meta Analysis for Normality of a Variable | boxcoxmeta |
| Box-Cox Transformation for Normality of a Variable | boxcoxnc |
| Mean and Asymmetric Confidence Interval for Back Transformed Data | confInt.boxcoxfr |
| Mean and Asymmetric Confidence Interval for Back Transformed Data | confInt.boxcoxmeta |
| Mean and Asymmetric Confidence Interval for Back Transformed Data | confInt confInt.boxcoxnc |
| Student Grades Data | grades |
| Textile Data | textile |
