Title: R Interface to Access the 'Majestic' API
Description: Implements methods for querying backlink data from 'Majestic' using its API (<https://developer-support.majestic.com/api/>).
'Majestic' API uses a basic authentication with an API key.

'Majestic' API uses a basic authentication with an API key. This package is used in the "Do You Need Backlinks for SEO" tutorial <https://remibacha.com/en/backlinks-r/>.

Package: makeFlow
Type: Package
Title: Visualizing Sequential Classifications
Version: 1.0.2
Date: 2016-08-22
Author: Alex J. Krebs
Maintainer: Alex J. Krebs <Krebs.AlexJ@gmail.com>
Description: A user-friendly tool for visualizing categorical or group movement.
License: GPL (>= 2)
Imports: dplyr, RColorBrewer
Copyright: Copyright Notice GENERAL DISCLAIMER This program is free
software; you can redistribute it and/or modify it under the
terms of the GNU General Public License as published by the
Free Software Foundation; either version 2, or (at your option)
any later version. This program is distributed in the hope that
it will be useful, but WITHOUT ANY WARRANTY; without even the
implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the GNU General Public License for more details.
In short: You may use it any way you like, as long as you do
not charge money for it, remove this notice, or hold anyone
liable for its results. Also, please acknowledge the source and
communicate changes to the author. If this software is used in
work presented for publication, kindly reference it using for
example: Krebs AJ (2016): makeFlow: Visualizing Sequential
Classifications. Be sure to reference R itself and other
libraries used.
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-24 06:27:15 UTC; DELL PC
Repository: CRAN
Date/Publication: 2016-08-24 18:02:38

Description: Functions that allow you to create your own color palette from an image, using mathematical algorithms.
Imports: raster, cluster, grDevices, rgdal, prismatic

Title: Transform Serial R Code into Parallel R Code
Imports: methods, utils, graphics, parallel, codetools, CodeDepends,
Suggests: igraph, roxygen2, knitr, rmarkdown, testthat
Writing parallel R code can be difficult, particularly for code
This experimental package automates the transformation of serial R code
into more efficient parallel versions. It identifies task parallelism by
statically analyzing entire scripts to detect dependencies between
statements. It implements an extensible system for scheduling
and generating new code. It includes a reference implementation of the
'List Scheduling' approach to the general task scheduling problem of scheduling