Package: HDANOVA 0.8.1

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_0.8.1.tar.gz
HDANOVA_0.8.1.zip(r-4.5)HDANOVA_0.8.1.zip(r-4.4)HDANOVA_0.8.1.zip(r-4.3)
HDANOVA_0.8.1.tgz(r-4.4-any)HDANOVA_0.8.1.tgz(r-4.3-any)
HDANOVA_0.8.1.tar.gz(r-4.5-noble)HDANOVA_0.8.1.tar.gz(r-4.4-noble)
HDANOVA_0.8.1.tgz(r-4.4-emscripten)HDANOVA_0.8.1.tgz(r-4.3-emscripten)
HDANOVA.pdf |HDANOVA.html
HDANOVA/json (API)
NEWS

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

Peer review:

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

Datasets:
  • caldana - Arabidopsis thaliana growth experiment
  • candies - Sensory assessment of candies.

On CRAN:

3.74 score 7 scripts 208 downloads 30 exports 75 dependencies

Last updated 3 days agofrom:f32a86d198. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesFAILNov 18 2024
R-4.5-winWARNINGNov 18 2024
R-4.5-linuxWARNINGNov 18 2024
R-4.4-winWARNINGNov 18 2024
R-4.4-macWARNINGNov 18 2024
R-4.3-winWARNINGNov 18 2024
R-4.3-macWARNINGNov 18 2024

Exports:apcaascaasca_fitblock.data.framecoefplotcvsegmentsdummycodeextended.model.framelimmpcaloading.weightsloadingplotloadingsmscaMSEPmvrValstatspcanovapcrpermanovapermutationplotplsrprcpredplotprojectionsR2RMSEPscoreplotscorestimeplotupdate_without_factorvalidationplot

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11crayonDerivdoBydplyrfansifarverFormulagenericsggplot2gluegtablehmsisobandlabelinglatticeleapslifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamixlmmodelrmultcompmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplspracmaprettyunitsprogresspurrrquantregR6RColorBrewerRcppRcppEigenrlangRSpectrasandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselectutf8vctrsviridisLitewithrzoo