Man pages for vsp
Vintage Sparse PCA for Semi-Parametric Factor Analysis
| bff | Find features most associated with cluster membership |
| bind_varimax_z | Add Z factor loadings to node table of tidygraph |
| cumulative_participation | Calculate cumulative participation of a set of singular... |
| get_svd_u | Get left singular vectors in a tibble |
| get_z_hubs | Get most important hubs for each Z factor |
| ipr | Calculate the inverse participation ratio (IPR) for a vector. |
| iprs | Calculate IPR for all singular vectors in a list. |
| localization_statistics | Compute localization statistics across various regularization... |
| pipe | Pipe operator |
| plot_cumulative_curves | Plot cumulative participation curves. |
| plot_ipr_curves | Plot IPR curves. |
| plot_ipr_pairs | Plot pairs of inverse participation ratios for singular... |
| plot_mixing_matrix | Plot the mixing matrix B |
| plot_varimax_z_pairs | Create a pairs plot of select Y factors |
| safe_row_l2_normalize | Safe L2 row normalization |
| screeplot.vsp_fa | Create a screeplot from a factor analysis object |
| set_z_factor_names | Give the dimensions of Z factors informative names |
| vsp | Semi-Parametric Factor Analysis via Vintage Sparse PCA |
| vsp_fa | Create a vintage sparse factor analysis object |
| vsp-package | vsp: Vintage Sparse PCA for Semi-Parametric Factor Analysis |
| vsp.svd_like | Perform varimax rotation on a low rank matrix factorization |
