'Recom' REmoves COMments of Rscript File for you
Pradeep Suthar  <sutharp777@gmail.com> [aut, cph, cre]
Goal of 'recom' package is to remove all the comments of the Rscript file, and to reduce Rscript file size for better performance.

Turns nested lists into data.frames in an orderly manner.
c(person("Peter", "Hurford", email = "peter@peterhurford.com", role = c("aut", "cre")),
person("Robert", "Krzyzanowski",
email = "technoguyrob@gmail.com", role = c("aut")))
Peter Hurford [aut, cre],
Robert Krzyzanowski [aut]

Evaluation Metrics for Implicit-Feedback Recommender Systems
Calculates evaluation metrics for implicit-feedback recommender systems
that are based on low-rank matrix factorization models, given the fitted model
matrices and data, thus allowing to compare models from a variety of libraries.
Metrics include P@K (precision-at-k, for top-K recommendations), R@K (recall at k),
AP@K (average precision at k), NDCG@K (normalized discounted cumulative gain at k),
Hit@K (from which the 'Hit Rate' is calculated), RR@K (reciprocal rank at k, from
which the 'MRR' or 'mean reciprocal rank' is calculated), ROC-AUC (area under the
receiver-operating characteristic curve), and PR-AUC (area under the
precision-recall curve).
These are calculated on a per-user basis according to the ranking of items induced
by the model, using efficient multi-threaded routines. Also provides functions
for creating train-test splits for model fitting and evaluation.
Rcpp (>= 1.0.1), Matrix (>= 1.3-4), MatrixExtra, float,
RhpcBLASctl, methods
recommenderlab (>= 0.2-7), cmfrec, data.table, knitr,
rmarkdown, kableExtra, testthat

Rcpp (>= 1.0.1), Matrix (>= 1.3-4), MatrixExtra (>= 0.1.6),
float, RhpcBLASctl, methods
recommenderlab (>= 0.2-7), cmfrec (>= 3.2.0), data.table,
knitr, rmarkdown, kableExtra, testthat

Lab for Testing and Developing Recommender Algorithms for Binary
Data
Provides a research infrastructure to test and develop
recommender algorithms. Currently the focus is on recommender
systems for binary data.
R (>= 2.8.0), methods, Matrix, registry, arules (>= 1.0-1),
cluster, proxy
All code is joint Copyright (C) Southern Methodist
University and Michael Hahsler