R: Principal Component Pursuit for Environmental Epidemiology

# Principal Component Pursuit for Environmental Epidemiology

## Documentation for package ‘pcpr’ version 1.0.0

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

## Help Pages

get_pcp_defaults | Retrieve default PCP parameter settings for given matrix
grid_search_cv | Cross-validated grid search for PCP models
hard_threshold | Hard-thresholding operator
impute_matrix | Impute missing values in given matrix
matrix_rank | Estimate rank of a given matrix
proj_rank_r | Project matrix to rank r
queens | Daily chemical concentrations of 26 PM2.5 species from Queens, NYC (2001-2021)
root_pcp | Square root principal component pursuit (convex PCP)
rrmc | Rank-based robust matrix completion (non-convex PCP)
sim_data | Simulate simple mixtures data
sim_lod | Simulate limit of detection data
sim_na | Simulate random missingness in a given matrix
sing | Compute singular values of given matrix
sparsity | Estimate sparsity of given matrix