Sat, 13 Jan 2018

Package shinymaterial updated to version 0.5.1 with previous version 0.5.0 dated 2017-12-17

Title: Implement Material Design in Shiny Applications
Description: Allows shiny developers to incorporate UI elements based on Google's Material design. See <https://material.io/guidelines/> for more information.
Author: Eric Anderson [aut, cre], Alvin Wang [ctb, cph] (Materialize CSS library), Alan Chang [ctb, cph] (Materialize CSS library), Alex Mark [ctb, cph] (Materialize CSS library), Kevin Louie [ctb, cph] (Materialize CSS library)
Maintainer: Eric Anderson <eric.ray.anderson@gmail.com>

Diff between shinymaterial versions 0.5.0 dated 2017-12-17 and 0.5.1 dated 2018-01-13

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Package cordillera updated to version 0.8-0 with previous version 0.7-0 dated 2017-07-24

Title: Calculation of the OPTICS Cordillera
Description: Functions for calculating the OPTICS Cordillera. The OPTICS Cordillera measures the amount of 'clusteredness' in a numeric data matrix within a distance-density based framework for a given minimum number of points comprising a cluster, as described in Rusch, Hornik, Mair (2017) <doi:10.1080/10618600.2017.1349664>. There is an R native version and a version that uses 'ELKI', with methods for printing, summarizing, and plotting the result. There also is an interface to the reference implementation of OPTICS in 'ELKI'.
Author: Thomas Rusch [aut, cre], Patrick Mair [ctb], Kurt Hornik [ctb]
Maintainer: Thomas Rusch <thomas.rusch@wu.ac.at>

Diff between cordillera versions 0.7-0 dated 2017-07-24 and 0.8-0 dated 2018-01-13

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New package shiftR with initial version 1.2
Package: shiftR
Type: Package
Title: Fast Enrichment Analysis via Circular Permutations
Version: 1.2
Date: 2018-01-11
Authors@R: c(person("Andrey A", "Shabalin", role = c("aut", "cre"), email = "andrey.shabalin@gmail.com", comment = c(ORCID = "0000-0003-0309-6821")), person("Edwin J C G", "van den Oord", email = "ejvandenoord@vcu.edu", role = "aut"))
Description: Fast enrichment analysis for locally correlated statistics via circular permutations. The analysis can be performed at multiple significance thresholds for both primary and auxiliary data sets with with efficient correction for multiple testing.
BugReports: https://github.com/andreyshabalin/shiftR/issues
URL: https://github.com/andreyshabalin/shiftR
License: LGPL-3
Imports: parallel
Suggests: knitr, rmarkdown, pander, BiocStyle
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-01-13 11:10:47 UTC; Andrey
Author: Andrey A Shabalin [aut, cre] (0000-0003-0309-6821), Edwin J C G van den Oord [aut]
Maintainer: Andrey A Shabalin <andrey.shabalin@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-13 22:26:46 UTC

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Package hkclustering updated to version 1.0.1 with previous version 1.0 dated 2016-09-15

Title: Ensemble Clustering using K Means and Hierarchical Clustering
Description: Implements an ensemble algorithm for clustering combining a k-means and a hierarchical clustering approach.
Author: Kaloyan Stoyanov [aut], Henrik Nordmark [aut], Aris Perperoglou [aut], Rolando Medellin [aut], Ilan Fridman Rojas [cre], Berthold Lausen [aut]
Maintainer: Ilan Fridman Rojas <ilanf@profusion.com>

Diff between hkclustering versions 1.0 dated 2016-09-15 and 1.0.1 dated 2018-01-13

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Package EcoGenetics updated to version 1.2.1-4 with previous version 1.2.1-3 dated 2018-01-12

Title: Management and Exploratory Analysis of Spatial Data in Landscape Genetics
Description: Management and exploratory analysis of spatial data in landscape genetics. Easy integration of information from multiple sources with "ecogen" objects.
Author: Leandro Roser [aut, cre], Juan Vilardi [aut], Beatriz Saidman [aut], Laura Ferreyra [aut], Thibaut Jombart [ctb] (author of included adegenet code), Winston Chang [ctb] (author of the multiplot function included under the name grf.multiplot)
Maintainer: Leandro Roser <learoser@gmail.com>

Diff between EcoGenetics versions 1.2.1-3 dated 2018-01-12 and 1.2.1-4 dated 2018-01-13

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Package document updated to version 2.2.1 with previous version 2.2.0 dated 2017-12-09

Title: Run 'roxygen2' on (Chunks of) Single Code Files
Description: Have you ever been tempted to create 'roxygen2'-style documentation comments for one of your functions that was not part of one of your packages (yet)? This is exactly what this package is about: running 'roxygen2' on (chunks of) a single code file.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <adc-r@arcor.de>

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Package Wmisc updated to version 0.3.4 with previous version 0.3.3 dated 2017-10-03

Title: Wamser Misc: Reading Files by Tokens, Stateful Computations, Utility Functions
Description: A tokenizer to read a text file token by token with a very lightweight API, a framework for stateful computations with finite state machines and a few string utility functions.
Author: Markus S. Wamser [aut, cre]
Maintainer: Markus S. Wamser <r-wmisc@devel.wamser.eu>

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New package wunderscraper with initial version 0.1.0
Package: wunderscraper
Title: Scrape the 'Wunderground' API
Version: 0.1.0
Authors@R: person("Chandler", "Armstrong", email = "omni.armstrong@gmail.com", role = c("aut", "cre"))
Description: A function for randomly sampling from the 'Wunderground' API <http://api.wunderground.com>. Provides multistage sampling strategies, respects API usage limits, and collects and saves 'Wunderground' data.
Depends: R (>= 3.4.0)
Imports: httr, jsonlite, sf, tigris
Suggests: testthat
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-13 12:23:27 UTC; omnia
Author: Chandler Armstrong [aut, cre]
Maintainer: Chandler Armstrong <omni.armstrong@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-13 17:31:21 UTC

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Package TukeyC updated to version 1.3-0 with previous version 1.1-5 dated 2014-08-18

Title: Conventional Tukey Test
Description: Perform the conventional Tukey test from formula, lm, aov, aovlist and lmer objects.
Author: José Cláudio Faria <joseclaudio.faria@gmail.com>, Enio G. Jelihovschi <eniojelihovs@gmail.com>, Ivan Bezerra Allaman <ivanalaman@gmail.com>
Maintainer: José Cláudio Faria <joseclaudio.faria@gmail.com>

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Package smooth updated to version 2.3.1 with previous version 2.3.0 dated 2017-12-23

Title: Forecasting Using Smoothing Functions
Description: The set of smoothing functions used for time series analysis and in forecasting. Currently the package includes exponential smoothing models and SARIMA in state-space form + several simulation functions.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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New package simpleroptions with initial version 0.2.0
Package: simpleroptions
Title: Easily Manage Options Files for your Packages and Scripts
Description: A framework to easily setup and maintain options files in your R packages and scripts.
Version: 0.2.0
Authors@R: c( person("Luca","Cerone", , email="luca.cerone@gmail.com", role = c("aut","cre","cph")) )
License: MIT + file LICENSE
URL: https://github.com/lucacerone/simpleroptions/
BugReports: https://github.com/lucacerone/simpleroptions/issues
Depends: R (>= 3.4.0)
Imports: R6 (>= 2.2.2), jsonlite (>= 1.5), knitr (>= 1.17), readr (>= 1.1.1)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Suggests: rmarkdown
NeedsCompilation: no
Packaged: 2018-01-13 08:35:51 UTC; luca
Author: Luca Cerone [aut, cre, cph]
Maintainer: Luca Cerone <luca.cerone@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-13 17:23:21 UTC

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Package RndTexExams updated to version 1.4.1 with previous version 1.4 dated 2016-06-05

Title: Build and Grade Multiple Choice Exams with Randomized Content
Description: Using as input a 'LaTeX' file with a multiple choice exam, this package will produce several versions with randomized contents of the same exam. Functions for grading and testing for cheating are also available.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

Diff between RndTexExams versions 1.4 dated 2016-06-05 and 1.4.1 dated 2018-01-13

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Package pointdensityP updated to version 0.3.2 with previous version 0.2.1 dated 2015-06-03

Title: Point Density for Geospatial Data
Description: The function pointdensity returns a density count and the temporal average for every point in the original list. The dataframe returned includes four columns: lat, lon, count, and date_avg. The "lat" column is the original latitude data; the "lon" column is the original longitude data; the "count" is the density count of the number of points within a radius of radius*grid_size (the neighborhood); and the date_avg column includes the average date of each point in the neighborhood.
Author: "Paul Evangelista <paul.evangelista@usma.edu> and Dave Beskow <david.beskow@usma.edu>"
Maintainer: Paul Evangelista <paul.evangelista@usma.edu>

Diff between pointdensityP versions 0.2.1 dated 2015-06-03 and 0.3.2 dated 2018-01-13

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Package MatrixEQTL updated to version 2.2 with previous version 2.1.1 dated 2015-02-03

Title: Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix Operations
Description: Matrix eQTL is designed for fast eQTL analysis on large datasets. Matrix eQTL can test for association between genotype and gene expression using linear regression with either additive or ANOVA genotype effects. The models can include covariates to account for factors as population stratification, gender, and clinical variables. It also supports models with heteroscedastic and/or correlated errors, false discovery rate estimation and separate treatment of local (cis) and distant (trans) eQTLs.
Author: Andrey A Shabalin [aut, cre] (0000-0003-0309-6821)
Maintainer: Andrey A Shabalin <andrey.shabalin@gmail.com>

Diff between MatrixEQTL versions 2.1.1 dated 2015-02-03 and 2.2 dated 2018-01-13

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Package lexicon updated to version 0.7.4 with previous version 0.6.3 dated 2017-12-11

Title: Lexicons for Text Analysis
Description: A collection of lexical hash tables, dictionaries, and word lists.
Author: Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

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Package filematrix updated to version 1.2 with previous version 1.1.0 dated 2016-05-23

Title: File-Backed Matrix Class with Convenient Read and Write Access
Description: Interface for working with large matrices stored in files, not in computer memory. Supports multiple non-character data types (double, integer, logical and raw) of various sizes (e.g. 8 and 4 byte real values). Access to parts of the matrix is done by indexing, exactly as with usual R matrices. Supports very large matrices. Tested on multi-terabyte matrices. Allows for more than 2^32 rows or columns. Allows for quick addition of extra columns to a filematrix. Cross-platform as the package has R code only.
Author: Andrey A Shabalin [aut, cre] (0000-0003-0309-6821)
Maintainer: Andrey A Shabalin <andrey.shabalin@gmail.com>

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Package ACMEeqtl updated to version 1.5 with previous version 1.4 dated 2017-03-12

Title: Estimation of Interpretable eQTL Effect Sizes Using a Log of Linear Model
Description: We use a non-linear model, termed ACME, that reflects a parsimonious biological model for allelic contributions of cis-acting eQTLs. With non-linear least-squares algorithm we estimate maximum likelihood parameters. The ACME model provides interpretable effect size estimates and p-values with well controlled Type-I error. Includes both R and (much faster) C implementations. For more details see Palowitch et al. (2017) <doi:10.1111/biom.12810>.
Author: Andrey A Shabalin [aut, cre] (0000-0003-0309-6821), John Palowitch [aut] (0000-0002-1419-3056)
Maintainer: Andrey A Shabalin <andrey.shabalin@gmail.com>

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Package SuperRanker updated to version 1.1.0 with previous version 1.0.1 dated 2016-07-18

Title: Sequential Rank Agreement
Description: Tools for analysing the agreement of two or more rankings of the same items. Examples are importance rankings of predictor variables and risk predictions of subjects. Benchmarks for agreement are computed based on random permutation and bootstrap.
Author: Claus Thorn Ekstrøm and Thomas Alexander Gerds
Maintainer: Claus Thorn Ekstrøm <ekstrom@sund.ku.dk>

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Package metaSEM updated to version 1.0.0 with previous version 0.9.16 dated 2017-09-29

Title: Meta-Analysis using Structural Equation Modeling
Description: A collection of functions for conducting meta-analysis using a structural equation modeling (SEM) approach via the 'OpenMx' and 'lavaan' packages. It also implements the two-stage SEM approach to conduct meta-analytic structural equation modeling on correlation and covariance matrices.
Author: Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>
Maintainer: Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>

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New package BNN with initial version 1.0.0
Package: BNN
Type: Package
Title: Bayesian Neural Network for High-Dimensional Nonlinear Variable Selection
Version: 1.0.0
Date: 2018-01-08
Authors@R: c(person("Bochao", "Jia", role = c("aut", "cre", "cph"), email = "jbc409@ufl.edu"), person("Faming", "Liang", role = c("ctb"), email = "fmliang@purdue.edu"), person("Robert", "Gentleman", role = c("cph")), person("Ross", "Ihaka", role = c("cph")), person("The R Core Team", role = c("cph")))
Depends: R (>= 3.0.2)
Description: Perform Bayesian variable selection for high-dimensional nonlinear systems and also can be used to test nonlinearity for a general regression problem. The computation can be accelerated using multiple CPUs. You can refer to Liang, F., Li, Q. and Zhou, L. (2017) at <https://www.samsi.info/wp-content/uploads/2016/09/SAMSI_DPDA-Liang.pdf> for detail. The publication "Bayesian Neural Networks for Selection of drug sensitive Genes" will be appear on Journals of American Statistical Association soon.
License: GPL-2
LazyLoad: true
Packaged: 2018-01-11 19:19:23 UTC; jia97
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2018-01-13 16:18:47 UTC
RoxygenNote: 6.0.1
Author: Bochao Jia [aut, cre, cph], Faming Liang [ctb], Robert Gentleman [cph], Ross Ihaka [cph], The R Core Team [cph]
Maintainer: Bochao Jia <jbc409@ufl.edu>

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Package IncDTW updated to version 1.0.1 with previous version 1.0.0 dated 2017-10-10

Title: Incremental Calculation of Dynamic Time Warping
Description: Implements incremental calculation of the DTW (Dynamic Time Warping) distance of two vectors, which is specifically useful for life data streams. Further the calculation of the global cost matrix is implemented in C++ to be faster. The Sakoe Chiba band is also implemented. The calculation of DTW is less functional then the one of dtw(), however much faster. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) <DOI:10.1109/TASSP.1978.1163055>. Any feedback is highly appreciated!
Author: Maximilian Leodolter
Maintainer: Maximilian Leodolter <maximilian.leodolter@gmail.com>

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Package stubthat updated to version 1.2.1 with previous version 1.2.0 dated 2017-05-03

Title: Stubbing Framework for R
Description: Create stubs of functions for use while testing.
Author: Sainath Adapa [aut, cre], Nitin Madasu [aut]
Maintainer: Sainath Adapa <adapasainath@gmail.com>

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Package PGRdup updated to version 0.2.3.3 with previous version 0.2.3.2 dated 2017-08-04

Title: Discover Probable Duplicates in Plant Genetic Resources Collections
Description: Provides functions to aid the identification of probable/possible duplicates in Plant Genetic Resources (PGR) collections using 'passport databases' comprising of information records of each constituent sample. These include methods for cleaning the data, creation of a searchable Key Word in Context (KWIC) index of keywords associated with sample records and the identification of nearly identical records with similar information by fuzzy, phonetic and semantic matching of keywords.
Author: J. Aravind [aut, cre] (0000-0002-4791-442X), J. Radhamani [aut], Kalyani Srinivasan [aut], B. Ananda Subhash [aut], R. K. Tyagi [aut], ICAR-NBGPR [cph], Maurice Aubrey [ctb] (Double Metaphone), Kevin Atkinson [ctb] (Double Metaphone), Lawrence Philips [ctb] (Double Metaphone)
Maintainer: J. Aravind <j.aravind@icar.gov.in>

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Package Emcdf updated to version 0.1.2 with previous version 0.1.0 dated 2017-06-02

Title: Computation and Visualization of Empirical Joint Distribution (Empirical Joint CDF)
Description: Computes and visualizes empirical joint distribution of multivariate data with optimized algorithms and multi-thread computation. There is a faster algorithm using dynamic programming to compute the whole empirical joint distribution of a bivariate data. There are optimized algorithms for computing empirical joint CDF function values for other multivariate data. Visualization is focused on bivariate data. Levelplots and wireframes are included.
Author: En-shuo Hsu, Jeffrey C. Miecznikowski
Maintainer: En-shuo Hsu <daviden1013@gmail.com>

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