Package: manifestoR
Title: Access and Process Data and Documents of the Manifesto Project
Date: 2016-06-20
Version: 1.2.1
Authors@R: c(person("Jirka", "Lewandowski",
role = c("aut", "cre"),
email = "jirka.lewandowski@wzb.eu"),
person("Nicolas", "Merz",
role = c("aut"),
email = "nicolas.merz@wzb.eu"),
person("Sven", "Regel",
role = c("ctb"),
email = "sven.regel@wzb.eu"),
person("Pola", "Lehmann",
role = c("ctb"),
email = "pola.lehmann@wzb.eu"))
Description: Provides access to coded election programmes from the Manifesto
Corpus and to the Manifesto Project's Main Dataset and routines to analyse this
data. The Manifesto Project (https://manifesto-project.wzb.eu) collects and
analyses election programmes across time and space to measure the political
preferences of parties. The Manifesto Corpus contains the collected and
annotated election programmes in the Corpus format of the package 'tm' to enable
easy use of text processing and text mining functionality. Specific functions
for scaling of coded political texts are included.
Depends: R (>= 3.1.0), NLP (>= 0.1-3), tm (>= 0.6), dplyr (>= 0.4.3)
Imports: utils, stats, magrittr, httr (>= 1.0.0), jsonlite (>= 0.9.12), functional (>= 0.6), zoo (>= 1.7-11), psych, base64enc
Suggests: knitr, rmarkdown, testthat, R.rsp, haven, readxl, devtools
(>= 1.7.0)
VignetteBuilder: R.rsp
Collate: manifestoR-package.r globals.R pipe_helpers.R cache.R db_api.R
corpus.R manifesto.R codes.R scaling_general.R scaling_rile.R
scaling_functions.R issue_attention.R nicheness.R clarity.R
scaling_bootstrap.R dataset.R
License: GPL (>= 3)
URL: https://github.com/ManifestoProject/manifestoR,
https://manifesto-project.wzb.eu/
BugReports: https://github.com/ManifestoProject/manifestoR/issues
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-22 16:11:00 UTC; manifesto
Author: Jirka Lewandowski [aut, cre],
Nicolas Merz [aut],
Sven Regel [ctb],
Pola Lehmann [ctb]
Maintainer: Jirka Lewandowski <jirka.lewandowski@wzb.eu>
Repository: CRAN
Date/Publication: 2016-06-23 01:04:20
Package: maxent
Type: Package
Title: Low-memory Multinomial Logistic Regression with Support for Text
Classification
Version: 1.3.3.1
Date: 2013-04-06
Author: Timothy P. Jurka, Yoshimasa Tsuruoka
Maintainer: Timothy P. Jurka <tpjurka@ucdavis.edu>
Depends: R (>= 2.13.0), methods, SparseM, tm
Imports: Rcpp
LinkingTo: Rcpp
Description: maxent is an R package with tools for low-memory
multinomial logistic regression, also known as maximum entropy.
The focus of this maximum entropy classifier is to minimize
memory consumption on very large datasets, particularly sparse
document-term matrices represented by the tm package. The
classifier is based on an efficient C++ implementation written
by Dr. Yoshimasa Tsuruoka.
License: GPL-3
LazyLoad: yes
Packaged: 2013-11-14 17:02:54 UTC; ripley
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-11-14 18:03:19
Package: RcmdrPlugin.temis
Type: Package
Title: Graphical Integrated Text Mining Solution
Version: 0.7.5
Date: 2016-03-02
Authors@R: c(person("Milan", "Bouchet-Valat", email="nalimilan@club.fr", role=c("aut", "cre")),
person("Gilles", "Bastin", email="gilles.bastin@sciencespo-grenoble.fr", role=c("aut")))
Imports: Rcmdr (>= 2.1-1), tcltk, tcltk2, utils, ca, R2HTML (>= 2.3.0), RColorBrewer, latticeExtra, stringi
Depends: methods, tm (>= 0.6), NLP, slam, zoo, lattice
Suggests: SnowballC, ROpenOffice, RODBC, tm.plugin.factiva (>= 1.4), tm.plugin.lexisnexis (>= 1.1), tm.plugin.europresse (>= 1.1), tm.plugin.alceste (>= 1.1), twitteR
Additional_repositories: http://www.omegahat.net/R
Description: An 'R Commander' plug-in providing an integrated solution to perform
a series of text mining tasks such as importing and cleaning a corpus, and
analyses like terms and documents counts, vocabulary tables, terms
co-occurrences and documents similarity measures, time series analysis,
correspondence analysis and hierarchical clustering. Corpora can be imported
from spreadsheet-like files, directories of raw text files, 'Twitter' queries,
as well as from 'Dow Jones Factiva', 'LexisNexis', 'Europresse' and 'Alceste' files.
License: GPL (>= 2)
URL: https://r-forge.r-project.org/projects/r-temis/
BugReports: https://r-forge.r-project.org/tracker/?group_id=1437
NeedsCompilation: no
Packaged: 2016-03-02 19:03:07 UTC; milan
Author: Milan Bouchet-Valat [aut, cre],
Gilles Bastin [aut]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>
Repository: CRAN
Date/Publication: 2016-03-03 05:50:00
Package: RNewsflow
Type: Package
Title: Tools for Analyzing Content Homogeneity and News Diffusion using
Computational Text Analysis
Version: 1.0.1
Date: 2016-03-29
Author: Kasper Welbers & Wouter van Atteveldt
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>
Description: A collection of tools for measuring the similarity of news content and tracing the flow of (news) messages over
time and across media.
License: MIT + file LICENSE
Depends: R (>= 3.2.0), tm, igraph, Matrix
Imports: plyr, slam, scales, wordcloud, data.table, methods
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, RTextTools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-29 08:12:20 UTC; kasper
Repository: CRAN
Date/Publication: 2016-03-29 10:48:22
Package: tm.plugin.dc
Version: 0.2-8
Date: 2015-08-28
Title: Text Mining Distributed Corpus Plug-In
Description: A plug-in for the text mining framework tm to support text mining
in a distributed way. The package provides a convenient interface for
handling distributed corpus objects based on distributed list objects.
Authors@R: c(person("Ingo", "Feinerer", role = "aut"), person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-project.org"))
License: GPL (>= 2)
Depends: DSL (>= 0.1-3), tm (>= 0.6)
Suggests: XML
Imports: NLP, slam (>= 0.1-22), utils
NeedsCompilation: no
Packaged: 2015-09-10 06:58:08 UTC; hornik
Author: Ingo Feinerer [aut],
Stefan Theussl [aut, cre]
Maintainer: Stefan Theussl <Stefan.Theussl@R-project.org>
Repository: CRAN
Date/Publication: 2015-09-10 10:19:56
providing 
.