Package index
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geigen_cov() - Generalized eigenproblem on a covariance matrix
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genpca() - Generalised Principal Components Analysis (GPCA)
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genpca_cov() - Generalized PCA on a covariance matrix (GMD form)
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genpls() - Generalized PLS via Implicit Operator (PLS-SVD / GPLSSVD)
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genplsc() - Canonical Generalized PLS (alias)
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gmd_clear_cache() - Clear internal cache for matrix decompositions
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gpca_mle() - Experimental penalized-ML estimation of GPCA metrics
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gplssvd_op() - Generalized PLS-SVD via Implicit Operator (memory-safe)
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mnpca_mrl() - Matrix-Normal PCA via Maximum Regularized Likelihood
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print(<sfpca>) - Print an sfpca fit
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reconstruct(<genpca>) - Reconstruct data from a genpca fit
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reconstruct(<sfpca>) - Reconstruct data from an sfpca fit
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repair_metric() - Repair a metric matrix explicitly
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rpls() - Regularised / Generalised Partial Least Squares (RPLS / GPLS)
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sfpca() - Sparse and Functional Principal Components Analysis (SFPCA) with Spatial Coordinates
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transfer(<cross_projector>) - Compatibility wrapper for multivarious::transfer
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truncate() - Truncate a projection to fewer components
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truncate(<genpca>) - Truncate a genpca fit to fewer components