Sat, 09 Jul 2016

Package memisc updated to version 0.99.7-1 with previous version 0.99.6 dated 2016-02-21

Title: Tools for Management of Survey Data and the Presentation of Analysis Results
Description: One of the aims of this package is to make life easier for R users who deal with survey data sets. It provides an infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files. Further, it provides functionality to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Author: Martin Elff (with contributions from Christopher N. Lawrence, Dave Atkins, Jason W. Morgan, Achim Zeileis)
Maintainer: Martin Elff <memisc@elff.eu>

Diff between memisc versions 0.99.6 dated 2016-02-21 and 0.99.7-1 dated 2016-07-09

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New package KernelKnn with initial version 1.0
Package: KernelKnn
Type: Package
Title: Kernel k Nearest Neighbors
Version: 1.0
Date: 2016-07-09
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
Description: Extends the simple k-nearest neighbors algorithm by incorporating numerous kernel functions and a variety of distance metrics. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R(>= 2.10.0)
Imports: Rcpp (>= 0.12.5), OpenImageR
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, covr, knitr, rmarkdown, irlba
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-07-09 11:32:55 UTC; lampros
Repository: CRAN
Date/Publication: 2016-07-09 14:48:36

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Package RcmdrPlugin.temis updated to version 0.7.7 with previous version 0.7.6 dated 2016-07-05

Title: Graphical Integrated Text Mining Solution
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.
Author: Milan Bouchet-Valat [aut, cre], Gilles Bastin [aut]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>

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Package preproviz updated to version 0.2.0 with previous version 0.1.1 dated 2016-02-14

Title: Tools for Visualization of Interdependent Data Quality Issues
Description: Data quality issues such as missing values and outliers are often interdependent, which makes preprocessing both time-consuming and leads to suboptimal performance in knowledge discovery tasks. This package supports preprocessing decision making by visualizing interdependent data quality issues through means of feature construction. The user can define his own application domain specific constructed features that express the quality of a data point such as number of missing values in the point or use nine default features. The outcome can be explored with plot methods and the feature constructed data acquired with get methods.
Author: Markus Vattulainen [aut, cre]
Maintainer: Markus Vattulainen <markus.vattulainen@gmail.com>

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Package OpenImageR updated to version 1.0.1 with previous version 1.0 dated 2016-07-07

Title: An Image Processing Toolkit
Description: Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform and the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library.
Author: Lampros Mouselimis [aut, cre], Sight Machine [cph] (findHOGFeatures function of the SimpleCV computer vision platform), Johannes Buchner [cph] (average_hash, dhash and phash functions of the ImageHash python library)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package mvdalab updated to version 1.1 with previous version 1.0 dated 2016-04-08

Title: Multivariate Data Analysis Laboratory
Description: An open-source project implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools , and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users). Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.
Author: Nelson Lee Afanador, Thanh Tran, and Lionel Blanchet
Maintainer: Nelson Lee Afanador <nelson.afanador@mvdalab.com>

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Package mousetrap updated to version 1.2.0 with previous version 1.1.0 dated 2016-06-13

Title: Process and Analyze Mouse-Tracking Data
Description: Mouse-tracking, the analysis of mouse movements in computerized experiments, is a method that is becoming increasingly popular in the cognitive sciences. The mousetrap package offers functions for importing, preprocessing, analyzing, aggregating, and visualizing mouse-tracking data.
Author: Pascal J. Kieslich [aut, cre], Felix Henninger [aut]
Maintainer: Pascal J. Kieslich <kieslich@psychologie.uni-mannheim.de>

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Package hydrogeo updated to version 0.4-1 with previous version 0.2-3 dated 2014-05-04

Title: Groundwater Data Presentation and Interpretation
Description: Contains one function for drawing Piper diagrams (also called Piper-Hill diagrams) of water analyses for major ions.
Author: Myles English <myles@rockhead.biz>
Maintainer: Myles English <myles@rockhead.biz>

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Package gwdegree updated to version 0.1.1 with previous version 0.1.0 dated 2016-07-06

Title: A Shiny App to Aid Interpretation of Geometrically-Weighted Degree Estimates in Exponential Random Graph Models
Description: This is a Shiny application intended to provide better understanding of how geometrically-weighted degree terms function in exponential random graph models of networks. It contains just one user function, gwdegree(), which launches the Shiny application.
Author: Michael Levy [aut, cre]
Maintainer: Michael Levy <malevy@ucdavis.edu>

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Package Fgmutils updated to version 0.6 with previous version 0.5 dated 2016-06-17

Title: Forest Growth Model Utilities
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.
Author: Clayton Vieira Fraga Filho, Ana Paula Simiqueli, Gilson Fernandes da Silva, Miqueias Fernandes, Wagner Amorim da Silva Altoe
Maintainer: Clayton Vieira Fraga Filho <altoe.wagner@gmail.com>

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Package codingMatrices updated to version 0.2.1 with previous version 0.2.0 dated 2016-02-15

Title: Alternative Factor Coding Matrices for Linear Model Formulae
Description: A collection of coding functions as alternatives to the standard functions in the stats package, which have names starting with 'contr.'. Their main advantage is that they provide a consistent method for defining marginal effects in multi-way factorial models. In a simple one-way ANOVA model the intercept term is always the simple average of the class means.
Author: Bill Venables
Maintainer: Bill Venables <Bill.Venables@gmail.com>

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