R: Differentially Private Principal Component Analysis Visualization

# Differentially Private Principal Component Analysis Visualization

## Documentation for package ‘dppca’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

adult | Adult numeric data
clipped_control | Control options for clipped scree estimation
dppca_app | Launch the dppca Shiny app
dp_pc_dir | Estimate principal component directions
dp_score | Differentially private score histograms
dp_score_group | Group-wise differentially private score histograms
dp_score_plot | Plot differentially private score histograms
dp_score_plot_group | Plot group-wise differentially private score histograms
dp_scree | Differentially private scree values
dp_scree_plot | Plot differentially private scree estimates
gau | Five Gaussian clusters
gau_g | Five Gaussian clusters with group labels
huber_control | Control options for Huber scree estimation
pmwm_control | Control options for private modified winsorized scree estimation