Man pages for genpca
Generalized Principal Component Analysis
| as_dgc | Coerce to general CSC sparse matrix (dgCMatrix) |
| as_dge | Coerce dense symmetric Matrix classes to general dense... |
| as_weight_operator | Create Weight Operator Function |
| clip_psd | Clip a symmetric matrix to the PSD cone |
| constraints_utils | Utilities for constraints |
| dot-clamp_weights | Validate diagonal weights |
| dot-evict_lru | Evict least-recently-used cache entry |
| dot-gmd_cache | Internal cache for GMD factorizations |
| dot-gmd_cache_max_size | Maximum number of cached entries (LRU eviction when exceeded) |
| dot-gmd_cache_times | Cache access times for LRU eviction |
| dot-metric_rtol_default | Default relative tolerance for metric validation |
| ensure_spd | Ensure SPD (sparse-friendly) |
| geigen_cov | Generalized eigenproblem on a covariance matrix |
| genpca | Generalised Principal Components Analysis (GPCA) |
| genpca_cov | Generalized PCA on a covariance matrix (GMD form) |
| genpca_cov_geigen | Generalized eigenvalue-based covariance GPCA (internal) |
| genpca_cov_gmd | GMD-based covariance GPCA (internal) |
| genpca-package | genpca: Generalized Principal Component Analysis |
| genpls | Generalized PLS via Implicit Operator (PLS-SVD / GPLSSVD) |
| genplsc | Canonical Generalized PLS (alias) |
| get_chol_lower_dense | Get (and cache) a _lower_ Cholesky factor for a dense SPD... |
| gmd_clear_cache | Clear internal cache for matrix decompositions |
| gmd_spectra | Generalized matrix decomposition via partial SVD of the... |
| gpca_mle | Experimental penalized-ML estimation of GPCA metrics |
| gplssvd_op | Generalized PLS-SVD via Implicit Operator (memory-safe) |
| is_diagonal_metric | Check whether a metric matrix is diagonal |
| is_identity_or_diag | Check if constraint matrix is identity or purely diagonal... |
| is_psd | Test positive semi-definiteness (relative tolerance) |
| mnpca_mrl | Matrix-Normal PCA via Maximum Regularized Likelihood |
| plsutils | Internal Utilities for Partial Eigen, Adaptive Rank, and Sqrt... |
| prep_constraints | Prepare and validate constraint matrices |
| print.sfpca | Print an sfpca fit |
| reconstruct.genpca | Reconstruct data from a genpca fit |
| reconstruct.sfpca | Reconstruct data from an sfpca fit |
| reexports | Objects exported from other packages |
| repair_metric | Repair a metric matrix explicitly |
| rpls | Regularised / Generalised Partial Least Squares (RPLS / GPLS) |
| sfpca | Sparse and Functional Principal Components Analysis (SFPCA)... |
| sfpca_cd_solve_cpp | Coordinate descent for the SFPCA penalized quadratic... |
| solve_gep_subspace | Fast sub-space solver for a small block of generalized... |
| symmetrize_or_stop | Symmetrize a nearly symmetric matrix or stop |
| transfer.cross_projector | Compatibility wrapper for multivarious::transfer |
| truncate | Truncate a projection to fewer components |
| truncate.genpca | Truncate a genpca fit to fewer components |
