Package: Fgmutils
Type: Package
Title: Forest Growth Model Utilities
Version: 0.5
Date: 2016-06-16
Author: Clayton Vieira Fraga Filho,
Ana Paula Simiqueli,
Gilson Fernandes da Silva,
Wagner Amorim da Silva Altoe
Maintainer: Clayton Vieira Fraga Filho <altoe.wagner@gmail.com>
Description: Growth models and forest production require existing data
manipulation and the creation of new data, structured from basic forest
inventory data. The purpose of this package is provide functions to support
these activities.
License: GPL-2
Depends: sqldf, stringr, plyr, R (>= 3.0)
Imports: data.table, tcltk, utils, stats, graphics, devEMF, png, grDevices, ReporteRs
LazyData: TRUE
Suggests: testthat
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-17 13:53:19 UTC; DC
Repository: CRAN
Date/Publication: 2016-06-17 21:12:22
Package: RSDA
Type: Package
Title: R to Symbolic Data Analysis
Version: 1.3
Date: 2015-11-01
Author: Oldemar Rodriguez R. with contributions from Olger Calderon, Roberto Zuniga and Jorge Arce
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
Description: Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.
License: GPL (>= 2)
Depends: R (>= 2.10), XML, scales, ggplot2, princurve, sqldf
Imports: RJSONIO, glmnet, abind, scatterplot3d, graphics, stats, utils, FactoMineR
URL: http://www.oldemarrodriguez.com
NeedsCompilation: no
Packaged: 2015-11-03 21:27:05 UTC; oldemarrodriguez
Repository: CRAN
Date/Publication: 2015-11-04 01:10:28
Package: GPCSIV
Type: Package
Title: GPCSIV, Generalized Principal Component of Symbolic Interval
variables
Version: 0.1.0
Date: 2013-06-06
Author: Brahim Brahim and Sun Makosso-Kallyth <sun.makosso-kallyth@crchuq.ulaval.ca>
Maintainer: Brahim Brahim <brahim.brahim@bigdatavisualizations.com>
Description: This package implements an extension of principal component analysis (PCA) tailored to handle multiple data tables. It can handle Big Data in the sense that the variation in massive data can be described by intervals [a, b] and multiple tables.
License: GPL (>= 2)
Depends: scatterplot3d, sqldf
Packaged: 2013-09-14 19:01:48 UTC; PSA
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-09-15 09:53:08
Package: vmsbase
Version: 2.1
License: GPL (>= 2)
Description: The tools you need to process, analyze, combine, integrate and
plot your fishery data: the georeferenced dataset from the Vessel Monitoring
System (VMS), from the Automatic Information System (AIS) or other tracking
devices, as well as the catches or landings dataset from the Logbook or Vessel
Register. Package 'vmsbase' is equipped by Viewer Tools to visually inspect data
at different steps of the analyses and to produce effective outputs for reports
and scientific publications. Viewers are conceived to show the VMS pings, to
visualize single or multiple tracks for fishing vessels, or to represent the VMS
data on Google Viewer, so that the user can produce easy to interpret and more
realistic visualization of both fishing effort and effort behaviour. Package
'vmsbase' represents the implementation of several R routines which have been
developed by the "Tor Vergata" University of Rome Team involved in the Italian
National Program for the Data Collection Framework for Fisheries Data between
2009-2012.
Title: GUI Tools to Process, Analyze and Plot Fisheries Data
Author: Lorenzo D'Andrea, Tommaso Russo, Antonio Parisi, Stefano Cataudella
Maintainer: Lorenzo D'Andrea <support@vmsbase.org>
Date: 2015-10-30
Depends: sqldf, ggmap, mapdata, maps
Imports: marmap, intervals, methods, plotrix, sp, foreign, cluster, cairoDevice, ggplot2, DBI, RSQLite, fields, gsubfn, AMORE, ecodist, gWidgets, gWidgetsRGtk2, chron, maptools, outliers, PBSmapping, R6, grid, VennDiagram, gmt
URL: http://www.vmsbase.org/
RoxygenNote: 5.0.0
NeedsCompilation: no
Packaged: 2015-10-30 09:00:35 UTC; Lomo
Repository: CRAN
Date/Publication: 2015-10-31 00:34:00
Package: smbinning
Title: Optimal Binning for Scoring Modeling
Version: 0.3
Author: Herman Jopia
Maintainer: Herman Jopia <hjopia@gmail.com>
URL: http://www.scoringmodeling.com
Description: The main purpose of the package is to categorize a numeric variable into bins
mapped to a binary target variable for its ulterior usage in scoring modeling.
This functionality reduces dramatically the time consuming process of finding the optimal
cut points for a given numeric variable, quickly calculates the Information Value, either for
one variable at the time or all at once in one line of code; and also outputs 'SQL' codes,
tables, and plots used throughout the development stage.
The package also allows the user to understand the data via exploratory data analysis
in one step, establish customized cut points for numeric characteristics, and run the analysis
for categorical variables.
Depends: R (>= 3.1.2), sqldf, partykit, Formula
Imports: gsubfn
License: GPL (>= 2)
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-20 07:33:54 UTC; Owner
Repository: CRAN
Date/Publication: 2016-06-20 10:20:35
providing 
.