Package index
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asca() - Analysis of Variance Simultaneous Component Analysis - ASCA
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print(<hdanova>)summary(<hdanova>)print(<summary.hdanova>)loadings(<asca>)scores(<asca>)projections() - ASCA Result Methods
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loadingplot(<asca>)scoreplot(<asca>)permutationplot() - ASCA Plot Methods
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biplot(<asca>) - Biplot for ASCA models
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apca() - ANOVA Principal Component Analysis - APCA
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apls() - Analysis of Variance Partial Least Squares - APLS
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hdanova() - High-Dimensional Analysis of Variance
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msca() - Multilevel Simultaneous Component Analysis - MSCA
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limmpca() - Linear Mixed Model PCA
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permutation() - Permutation for HDANOVA
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pls() - Partial Least Squares (PLS) for HDANOVA
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sca() - Simultaneous Component Analysis
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pcanova() - Principal Components Analysis of Variance Simultaneous Component Analysis - PC-ANOVA
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summary(<pcanova>)print(<summary.pcanova>)print(<pcanova>) - PC-ANOVA Result Methods
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scoreplot(<pcanova>) - PC-ANOVA Result Methods
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prc() - Principal Response Curves
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permanova() - Permutation Based MANOVA - PERMANOVA
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block.data.frame() - Block-wise indexable data.frame
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dummycode() - Dummy-coding of a single vector
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extended.model.frame() - Extracting the Extended Model Frame from a Formula or Fit
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extract_estimates() - Extract estimates for a given factor combination
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model.frame(<asca>)model.matrix(<asca>) - Model Frame and Model Matrix for ASCA-like Models
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signflip() - Flip signs of a component/factor combination in a SCA/PCA object
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timeplot() - Timeplot for Combined Effects
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update_without_factor() - Update a Model without Factor