Package index • muscal

All functions

aligned_interbattery(): Aligned Interbattery Analysis
aligned_mcca(): Aligned Multiblock Canonical Correlation Analysis (Aligned MCCA)
aligned_mfa(): Aligned Multiple Factor Analysis (Aligned MFA)
aligned_rrr(): Aligned Reduced-Rank Regression
anchored_mcca(): Anchored Multiblock Canonical Correlation Analysis (Anchored MCCA)
autoplot(<bada>): Autoplot for BaDA
autoplot(<bamfa>): Autoplot for BaMFA
autoplot(<covstatis>): Autoplot for COVSTATIS
autoplot(<linked_mfa>): Autoplot for Linked MFA
autoplot(<mfa>): Autoplot for MFA
autoplot(<penalized_mfa>): Autoplot for Penalized MFA
bada() bootstrap(<bada>) reprocess(<bada>) project(<bada>): Barycentric Discriminant Analysis (generic)
bamfa(): Barycentric Multiple Factor Analysis (BaMFA)
bilinear_mixed(): Bilinear Repeated-Measures Mixed Model
bilinear_mixed_easy(): Easy Front-End for Bilinear Mixed
bilinear_mixed_recommend(): Recommend Practical Defaults for Bilinear Mixed
bilinear_mixed_tune(): Tune Bilinear Mixed Hyperparameters via Subject-Block CV
check_duality(): Verify duality between ROI- and RV-space coordinates
coupled_graph_anchored_mfa(): Coupled Graph-Anchored Multiple Factor Analysis
covstatis(): STATIS for Covariance Matrices (generic)
cv_muscal(): Cross-Validate Muscal Models with Multidesign Folds
default_metrics(): Default Metrics for a Muscal Task
estimate_components() loading_reliability(): Estimate the number of components and loading reliability (shared helpers)
graph_anchored_mfa(): Graph-Anchored Multiple Factor Analysis
infer_aligned_rrr(): Multifer Inference for Aligned RRR
infer_bada(): Multifer Inference for BaDA
infer_covstatis(): Multifer Component Tests for COVSTATIS
infer_muscal(): Standard Resampling and Inference for Muscal Fits
ipca(): Integrated Principal Components Analysis (generic)
ipca_tune_alpha(): Tune Tied Penalties for iPCA via 1D Alpha Search
anchored_mfa() linked_mfa(): Anchored Multiple Factor Analysis (Anchored MFA)
mcca(): Multiblock Canonical Correlation Analysis (generic)
metric_registry(): Metric Registry for Muscal Tasks
mfa-plots: Plotting Functions for MFA and Linked MFA
mfa(): Multiple Factor Analysis (generic)
orient_components(): Orient Component Signs for Fitted muscal Models
penalized_mfa(): Penalized Multiple Factor Analysis (MFA)
penalized_mfa_clusterwise() pmfa_cluster(): Penalized MFA with Clusterwise Spatial Smoothness Constraints
performance_metrics(): Compute Task-Aware Performance Metrics
plot(<bada>): Plot BaDA Results
plot(<bamfa>): Plot BaMFA Results
plot(<covstatis>): Plot COVSTATIS Results
plot(<linked_mfa>): Plot Linked MFA Scores
plot(<mfa>): Plot MFA Scores
plot(<penalized_mfa>): Plot Penalized MFA Results
plot_barycenters(): Plot Class Barycenters for BaDA
plot_block_fit(): Plot Block Reconstruction Error
plot_block_similarity(): Plot Block Similarity Matrix
plot_block_weights(): Plot Block Weights
plot_convergence(): Plot Convergence Trace
plot_coverage(): Plot Block Coverage Map
plot_feature_groups(): Plot Feature Group Loadings
plot_global_local(): Plot Global vs Local Decomposition for BaMFA
plot_loading_alignment(): Plot Loading Alignment for Penalized MFA
plot_loadings(): Plot Variable Loadings
plot_partial_scores(): Plot Partial Factor Scores
plot_subjects(): Plot subject scores in RV space
plot_variance() plot_variance.covstatis() plot_variance.bada() plot_variance.penalized_mfa(): Plot Variance Explained (Scree Plot)
predict(<aligned_interbattery>): Predict from an Aligned Interbattery Fit
predict(<aligned_mfa>): Predict from an Aligned MFA Fit
predict(<aligned_rrr>): Predict from an Aligned RRR Fit
predict(<anchored_mfa>): Predict from an Anchored MFA Fit
predict(<bamfa>): Predict method for BaMFA objects
predict(<coupled_graph_anchored_mfa>): Predict from a Coupled Graph-Anchored MFA Fit
predict(<graph_anchored_mfa>): Predict from a Graph-Anchored MFA Fit
predict(<ipca>): Predict from an iPCA Fit
predict(<mcca>): Predict from an MCCA Fit
predict(<mfa>): Predict from a Multiple Factor Analysis Fit
predict(<response_aligned_mfa>): Predict from a Response-Aligned MFA Fit
print(<bamfa>): Print Method for BaMFA Objects
print(<penalized_mfa>): Print Method for Penalized MFA Objects
print(<penalized_mfa_clusterwise>): Print Method for Penalized MFA Clusterwise Objects
project() reprocess(): Re‑export selected generics from **multivarious**
project(<aligned_interbattery>): Project New Rows into an Aligned Interbattery Space
project(<aligned_mfa>): Project New Rows into an Aligned MFA Space
project(<aligned_rrr>): Project New Rows into an Aligned RRR Space
project(<anchored_mfa>): Project New Rows into an Anchored MFA Space
project(<coupled_graph_anchored_mfa>): Project New Rows into a Coupled Graph-Anchored MFA Space
project(<graph_anchored_mfa>): Project New Rows into a Graph-Anchored MFA Space
project(<response_aligned_mfa>): Project New Rows into a Response-Aligned MFA Space
project_cov(): Project a Covariance Matrix (generic)
project_covariate() project_table_covariate() project_feature_covariate(): Project a Table- or Feature-Level Covariate (generic)
project_subjects(): Project and Summarize New Subject Data (generic)
reconstruct(<covstatis>): Low-rank reconstruction of the compromise matrix
response_aligned_mfa(): Response-Aligned Multiple Factor Analysis
roi_map(): Extract ROI map for a compromise dimension
significant_components(): Identify Significant Components via RMT and Inter-block Coherence Tests
synthetic_multiblock(): Generate synthetic multiblock data