Function reference • RcppML

All functions

align_models(): Align two matrices with bipartite matching

aml: Acute Myelogenous Leukemia cells

bipartiteMatch(): Bipartite graph matching

bipartition(): Bipartition a sample set

biplot(<nmf>): Biplot for NMF factors

cosine(): Cosine similarity

crossValidate() plot(<nmfCrossValidate>): Cross-validation for NMF

dclust(): Divisive clustering

hawaiibirds: Bird species frequency in Hawaii

lnmf(): Linked non-negative matrix factorization

movielens: Movie ratings

mse(): Mean squared error of factor model

subset(<nmf>) `[`(<nmf>,<ANY>,<ANY>,<ANY>) head(<nmf>) show(<nmf>) dimnames(<nmf>) dim(<nmf>) t(<nmf>) sort(<nmf>) prod(<nmf>) `$`(<nmf>) coerce(<nmf>,<list>) sparsity(<nmf>) align(<nmf>) evaluate(<nmf>) `[[`(<nmf>) predict(<nmf>): nmf class methods

nmf(): Non-negative matrix factorization

nnls(): Non-negative least squares

project(): Project a model onto new data

r_sample() r_unif() r_binom(): Random distributions and samples

RcppML RcppML-package: RcppML: Rcpp Machine Learning Library

r_matrix() r_sparsematrix(): Random transpose-identical dense/sparse matrix

simulateNMF(): Simulate an NMF dataset

summary(<nmf>) plot(<nmfSummary>): Summarize NMF factors