R: Linear Optimal Low-Rank Projection

# Linear Optimal Low-Rank Projection

## Documentation for package ‘lolR’ version 2.1

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

## Help Pages

lol.classify.nearestCentroid | Nearest Centroid Classifier Training
lol.classify.rand | Random Classifier Utility
lol.classify.randomChance | Randomly Chance Classifier Training
lol.classify.randomGuess | Randomly Guessing Classifier Training
lol.embed | Embedding
lol.project.bayes_optimal | Bayes Optimal
lol.project.dp | Data Piling
lol.project.lol | Linear Optimal Low-Rank Projection (LOL)
lol.project.lrcca | Low-rank Canonical Correlation Analysis (LR-CCA)
lol.project.lrlda | Low-Rank Linear Discriminant Analysis (LRLDA)
lol.project.pca | Principal Component Analysis (PCA)
lol.project.pls | Partial Least-Squares (PLS)
lol.project.rp | Random Projections (RP)
lol.sims.cigar | Stacked Cigar
lol.sims.cross | Cross
lol.sims.fat_tails | Fat Tails Simulation
lol.sims.mean_diff | Mean Difference Simulation
lol.sims.qdtoep | Quadratic Discriminant Toeplitz Simulation
lol.sims.random_rotate | Random Rotation
lol.sims.rev_rtrunk | Reverse Random Trunk
lol.sims.rotation | Sample Random Rotation
lol.sims.rtrunk | Random Trunk
lol.sims.sim_gmm | GMM Simulate
lol.sims.toep | Toeplitz Simulation
lol.sims.xor2 | Xor Problem
lol.utils.decomp | A utility to use irlba when necessary
lol.utils.deltas | A function that performs a utility computation of information about the differences of the classes.
lol.utils.info | A function that performs basic utilities about the data.
lol.utils.ohe | A function for one-hot encoding categorical respose vectors.
lol.xval.eval | Embedding Cross Validation
lol.xval.optimal_dimselect | Optimal Cross-Validated Number of Embedding Dimensions
lol.xval.split | Cross-Validation Data Splitter
predict.nearestCentroid | Nearest Centroid Classifier Prediction
predict.randomChance | Randomly Chance Classifier Prediction
predict.randomGuess | Randomly Guessing Classifier Prediction