Depends: R (>= 3.3), MCMCpack, combinat, igraph, mclust

Title: Mango Solutions Training Datasets
Description: Datasets designed to be used in conjunction with Mango Solutions
training materials and the book SAMS Teach Yourself R in 24 Hours (ISBN: 978-0-672-33848-9).

Description: Datasets to be used primarily in conjunction with Mango Solutions
Andrew Little [aut, cre, ctb, dtc, rev],

Description: This plot integrates annotation into a manhattan plot. The plot is implemented as a heatmap, which is binned using -log10(p-value) and chromosome position. Annotation currently supported is minor allele frequency and gene function high impact variants.
Imports: reshape2, ggplot2, ggrepel, gridExtra

Title: Access and Process Data and Documents of the Manifesto Project
Description: Provides access to coded election programmes from
the Manifesto Corpus and to the Manifesto Project's Main Dataset. 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.
Imports: utils, httr (>= 0.3), jsonlite (>= 0.9.12), functional (>=
Collate: manifestoR-package.r globals.R cache.R db_api.R corpus.R
Packaged: 2015-05-04 14:58:04 UTC; manifesto

Packaged: 2015-05-22 19:17:25 UTC; manifesto

Imports: utils, stats, httr (>= 1.0.0), jsonlite (>= 0.9.12),
Packaged: 2015-07-08 15:28:31 UTC; manifesto

Suggests: knitr, rmarkdown, testthat, R.rsp, devtools (>= 1.7.0)
Packaged: 2015-07-16 09:52:37 UTC; manifesto

Packaged: 2015-09-14 19:11:41 UTC; manifesto

the Manifesto Corpus and to the Manifesto Project's Main Dataset and routines
Suggests: knitr, rmarkdown, magrittr, testthat, R.rsp, devtools (>=
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
Packaged: 2015-11-12 10:02:09 UTC; manifesto