Package: vsp 0.1.2

Alex Hayes

vsp: Vintage Sparse PCA for Semi-Parametric Factor Analysis

Provides fast spectral estimation of latent factors in random dot product graphs using the vsp estimator. Under mild assumptions, the vsp estimator is consistent for (degree-corrected) stochastic blockmodels, (degree-corrected) mixed-membership stochastic blockmodels, and degree-corrected overlapping stochastic blockmodels.

Authors:Karl Rohe [aut], Muzhe Zeng [aut], Alex Hayes [aut, cre, cph], Fan Chen [aut]

vsp_0.1.2.tar.gz
vsp_0.1.2.tar.gz(r-4.5-noble)vsp_0.1.2.tar.gz(r-4.4-noble)
vsp_0.1.2.tgz(r-4.4-emscripten)vsp_0.1.2.tgz(r-4.3-emscripten)
vsp.pdf |vsp.html✨
vsp/json (API)
NEWS

# Install 'vsp' in R:

install.packages('vsp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rohelab/vsp/issues

2.98 score 19 scripts 136 downloads 21 exports 36 dependencies

Last updated 16 days agofrom:ce3ab7564b. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Nov 06 2024
R-4.5-linux	OK	Nov 06 2024

Exports:%>%bff bind_svd_u bind_svd_v bind_varimax_y bind_varimax_z get_svd_u get_svd_v get_varimax_y get_varimax_z get_y_hubs get_z_hubs plot_ipr_pairs plot_mixing_matrix plot_svd_u plot_svd_v plot_varimax_y_pairs plot_varimax_z_pairs set_y_factor_names set_z_factor_names vsp

Dependencies:cli clue cluster colorspace fansi farver ggplot2 glue gtable invertiforms isoband labeling lattice lifecycle LRMF3 magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig R6 RColorBrewer Rcpp RcppEigen rlang RSpectra scales sparseLRMatrix tibble utf8 vctrs viridisLite withr

Interpreting factors with bff(), the Best Feature Function

Fan Chen

Rendered frombff.Rmdusingknitr::rmarkdownon Nov 06 2024.

Last update: 2024-11-05
Started: 2022-02-10

Citation

Readme and manuals

Help Manual

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