Man pages for DataSlingers/MoMA
MoMA - Modern Multivariate Analysis in R
| CCA_deflation | The Deflation Scheme for CCA |
| cluster | Cluster penalty |
| fused_lasso | Fused LASSO |
| group_lasso | Group LASSO |
| l1_trend_filtering | L1 trend filtering |
| lasso | LASSO (least absolute shrinkage and selection operator) |
| LDA_deflation | The Deflation Scheme for LDA |
| mcp | MCP (minimax concave penalty) |
| MoMA | MoMA: Modern Multivariate Analysis in R |
| moma_logging | MoMA Package Logging Functionality |
| moma_pg_settings | Algorithm settings for solving the penalized SVD problem |
| moma_R6 | R6 objects for storing and accessing the results of SFPCA /... |
| moma_session_info | Session Info used for Bug Reporting |
| moma_sfcca | Sparse and functional CCA |
| moma_sflda | Sparse and functional LDA |
| moma_sfpca | Sparse and functional PCA |
| moma_smoothness | Smoothness-inducing Term |
| moma_sparsity_options | Sparsity-inducing penalty in 'MoMA' |
| PCA_deflation | Deflation Schemes for PCA |
| scad | SCAD (smoothly clipped absolute deviation) |
| second_diff_mat | Second difference matrix |
| select_scheme | Introduction to selection schemes in MoMA |
| slope | SLOPE (sorted \ell-one penalized estimation) |
| sparse_fused_lasso | Sparse fused LASSO |
