Package: pkgmaker
Type: Package
Title: Package development utilities
Version: 0.22
Date: 2013-09-17
Author: Renaud Gaujoux
Maintainer: Renaud Gaujoux <renaud@tx.technion.ac.il>
Description: This package provides some low-level utilities to use for package
development. It currently provides managers for multiple package specific
options and registries, vignette, unit test and bibtex related utilities.
It serves as a base package for packages like NMF, RcppOctave, doRNG, and
as an incubator package for other general purposes utilities, that will
eventually be packaged separately.
It is still under heavy development and changes in the interface(s) are
more than likely to happen.
License: GPL (>= 2)
URL: https://renozao.github.io/pkgmaker
BugReports: http://github.com/renozao/pkgmaker/issues
SCM: github:renozao, r-forge
LazyLoad: yes
Depends: R (>= 3.0.0), stats, registry
Imports: methods, tools, codetools, digest, stringr, xtable, grDevices
Suggests: devtools (>= 0.8), bibtex, RUnit, testthat, knitr, ReportingTools, hwriter, argparse
Collate: 'utils.R' 'logging.R' 'unitTests.R' 'data.R' 'namespace.R'
'devutils.R' 'package.R' 'options.R' 'is.R' 'registry.R'
'bibtex.R' 'packages.R' 'vignette.R' 'files.R'
'package-extra.R' 'colors.R' 'graphics.R' 'rd.R' 'project.R'
'CLI.R' 'knitr.R' 'repositories.R'
VignetteBuilder: knitr
Packaged: 2014-05-14 11:49:09 UTC; renaud
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-14 16:18:51
Package: rrecsys
Type: Package
Title: Environment for Assessing Recommender Systems
Version: 0.9.5.4
Date: 2016-06-26
Authors@R: c(person("Ludovik","Ãoba", role=c("aut","cre","cph"), email="lcoba@unishk.edu.al"),
person("Markus","Zanker", role="ctb",email="Markuz.Zanker@aau.at"))
URL: https://github.com/ludovikcoba/rrecsys
BugReports: https://github.com/ludovikcoba/rrecsys/issues
Description: Provides implementations of several popular recommendation systems. They can process standard recommendation datasets (user/item matrix) as input and generate rating predictions and recommendation lists. Standard algorithm implementations included in this package are: Global/Item/User-Average baselines, Item-Based KNN, FunkSVD, BPR and weighted ALS. They can be assessed according to the standard offline evaluation methodology for recommender systems using measures such as MAE, RMSE, Precision, Recall, AUC, NDCG, RankScore and coverage measures. The package is intended for rapid prototyping of recommendation algorithms and education purposes.
Imports: methods
Depends: R (>= 3.1.2), registry, proxy, MASS, stats, knitr
License: GPL-3
VignetteBuilder: knitr
Encoding: UTF-8
Repository: CRAN
Suggests: covr
NeedsCompilation: no
Packaged: 2016-06-27 14:53:29 UTC; ludov
Author: Ludovik Ãoba [aut, cre, cph],
Markus Zanker [ctb]
Maintainer: Ludovik Ãoba <lcoba@unishk.edu.al>
Date/Publication: 2016-06-27 17:31:21
providing 
.