R: Vintage Sparse PCA for Semi-Parametric Factor Analysis

# Vintage Sparse PCA for Semi-Parametric Factor Analysis

## Documentation for package ‘vsp’ version 0.1.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

bff | Find features most associated with cluster membership
bind_svd_u | Add Z factor loadings to node table of tidygraph
bind_svd_v | Add Z factor loadings to node table of tidygraph
bind_varimax_y | Add Z factor loadings to node table of tidygraph
bind_varimax_z | Add Z factor loadings to node table of tidygraph
cumulative_participation | Calculate cumulative participation of a set of singular vectors.
get_svd_u | Get left singular vectors in a tibble
get_svd_v | Get left singular vectors in a tibble
get_varimax_y | Get left singular vectors in a tibble
get_varimax_z | Get left singular vectors in a tibble
get_y_hubs | Get most important hubs for each Z factor
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 parameters.
plot_cumulative_curves | Plot cumulative participation curves.
plot_ipr_curves | Plot IPR curves.
plot_ipr_pairs | Plot pairs of inverse participation ratios for singular vectors
plot_mixing_matrix | Plot the mixing matrix B
plot_svd_u | Create a pairs plot of select Y factors
plot_svd_v | Create a pairs plot of select Y factors
plot_varimax_y_pairs | Create a pairs plot of select Y factors
plot_varimax_z_pairs | Create a pairs plot of select Y factors
screeplot.vsp_fa | Create a screeplot from a factor analysis object
set_y_factor_names | Give the dimensions of Z factors informative names
set_z_factor_names | Give the dimensions of Z factors informative names
vsp | Semi-Parametric Factor Analysis via Vintage Sparse PCA
vsp.default | Semi-Parametric Factor Analysis via Vintage Sparse PCA
vsp.dgCMatrix | Semi-Parametric Factor Analysis via Vintage Sparse PCA
vsp.igraph | Semi-Parametric Factor Analysis via Vintage Sparse PCA
vsp.Matrix | Semi-Parametric Factor Analysis via Vintage Sparse PCA
vsp.matrix | Semi-Parametric Factor Analysis via Vintage Sparse PCA
vsp.svd_like | Perform varimax rotation on a low rank matrix factorization
vsp_fa | Create a vintage sparse factor analysis object