Package: HDANOVA 0.8.6

HDANOVA: High-Dimensional Analysis of Variance

Functions and datasets to support Smilde, Marini, Westerhuis and Liland (2025, ISBN: 978-1-394-21121-0) "Analysis of Variance for High-Dimensional Data - Applications in Life, Food and Chemical Sciences". This implements and imports a collection of methods for HD-ANOVA data analysis with common interfaces, result- and plotting functions, multiple real data sets and four vignettes covering a range different applications.

Authors:Kristian Hovde Liland [aut, cre]

HDANOVA_0.8.6.tar.gz
HDANOVA_0.8.6.zip(r-4.7)HDANOVA_0.8.6.zip(r-4.6)HDANOVA_0.8.6.zip(r-4.5)
HDANOVA_0.8.6.tgz(r-4.6-x86_64)HDANOVA_0.8.6.tgz(r-4.6-arm64)HDANOVA_0.8.6.tgz(r-4.5-x86_64)HDANOVA_0.8.6.tgz(r-4.5-arm64)
HDANOVA_0.8.6.tar.gz(r-4.7-arm64)HDANOVA_0.8.6.tar.gz(r-4.6-arm64)HDANOVA_0.8.6.tar.gz(r-4.7-x86_64)HDANOVA_0.8.6.tar.gz(r-4.6-x86_64)
HDANOVA_0.8.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
HDANOVA/json (API)
NEWS

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

Bug tracker:https://github.com/khliland/hdanova/issues

Pkgdown/docs site:https://khliland.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • caldana - Arabidopsis thaliana growth experiment
  • candies - Sensory assessment of candies.

On CRAN:

Conda:

openblascpp

4.79 score 1 stars 2 packages 17 scripts 608 downloads 38 exports 83 dependencies

Last updated from:20e3ed3e9f. Checks:9 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING193
source / vignettesERROR276
linux-release-x86_64WARNING193
macos-release-arm64WARNING201
macos-release-x86_64WARNING360
macos-oldrel-arm64WARNING125
macos-oldrel-x86_64WARNING447
windows-develWARNING153
windows-releaseWARNING163
windows-oldrelWARNING169
wasm-releaseOK132

Exports:apcaaplsascablock.data.framecoefplotcvsegmentsdummycodeextended.model.frameextract_estimateshdanovalimmpcaloading.weightsloadingplotloadingsmscaMSEPmvrValstatspcanovapcrpermanovapermutationpermutationplotplsplsrprcpredplotprojectionsR2RMSEProtationrotationplotscascoreplotscoressignfliptimeplotupdate_without_factorvalidationplot

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11crayonDerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtablehmsisobandlabelinglatticeleapslifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamixlmmodelrmultcompmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplspracmaprettyunitsprogresspurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangRSpectraS7sandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo

Readme and manuals

Help Manual

Help pageTopics
ANOVA Principal Component Analysis - APCAapca
Analysis of Variance Partial Least Squares - APLSapls
Analysis of Variance Simultaneous Component Analysis - ASCAasca
ASCA Plot Methodsasca_plots loadingplot.asca permutationplot rotationplot scoreplot.asca
ASCA Result Methodsasca_results loadings.asca print.asca print.hdanova print.summary.asca print.summary.hdanova projections projections.asca scores.asca summary.asca summary.hdanova
Biplot for ASCA modelsbiplot.asca
Block-wise indexable data.frameblock.data.frame
Arabidopsis thaliana growth experimentcaldana
Sensory assessment of candies.candies
Dummy-coding of a single vectordummycode
Extracting the Extended Model Frame from a Formula or Fitextended.model.frame
Extract estimates for a given factor combinationextract_estimates
High-Dimensional Analysis of Variancehdanova
Linear Mixed Model PCAlimmpca
Log-Likelihood for HDANOVA ObjectslogLik.hdanova
Model Frame and Model Matrix for ASCA-like Modelsmodel.frame.asca model.matrix.asca
Multilevel Simultaneous Component Analysis - MSCAmsca
Principal Components Analysis of Variance Simultaneous Component Analysis - PC-ANOVApcanova
PC-ANOVA Result Methodsloadingplot.pcanova pcanova_plots scoreplot.pcanova
PC-ANOVA Result Methodspcanova_results print.pcanova print.summary.pcanova projections.pcanova summary.pcanova
Permutation Based MANOVA - PERMANOVApermanova
Permutation for SS-Type-Aligned HDANOVApermutation
Partial Least Squares (PLS) for HDANOVApls pls.default
Principal Response Curvesprc
Predict Methods for ASCA-family Objectspredict.apca predict.apls predict.asca predict.limmpca predict.msca predict_asca_family
Predict for HDANOVA Objectspredict.hdanova
Rotation test for HDANOVArotation
Simultaneous Component Analysissca
Flip signs of a component/factor combination in a SCA/PCA objectsignflip
Timeplot for Combined Effectstimeplot
Update a Model without Factorupdate_without_factor