Wed, 11 Jan 2017

Package vembedr updated to version 0.1.2 with previous version 0.1.1 dated 2016-07-15

Title: Functions to Embed Video in HTML
Description: A set of functions for generating HTML to embed hosted video in your R Markdown documents or Shiny apps.
Author: Ian Lyttle [aut, cre, cph], Schneider Electric [cph]
Maintainer: Ian Lyttle <ian.lyttle@schneider-electric.com>

Diff between vembedr versions 0.1.1 dated 2016-07-15 and 0.1.2 dated 2017-01-11

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More information about vembedr at CRAN
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Package shiny updated to version 1.0.0 with previous version 0.14.2 dated 2016-11-01

Title: Web Application Framework for R
Description: Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive pre-built widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
Author: Winston Chang [aut, cre], Joe Cheng [aut], JJ Allaire [aut], Yihui Xie [aut], Jonathan McPherson [aut], RStudio [cph], jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/www/shared/jquery-AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/www/shared/jqueryui/AUTHORS.txt), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Alexander Farkas [ctb, cph] (html5shiv library), Scott Jehl [ctb, cph] (Respond.js library), Stefan Petre [ctb, cph] (Bootstrap-datepicker library), Andrew Rowls [ctb, cph] (Bootstrap-datepicker library), Dave Gandy [ctb, cph] (Font-Awesome font), Brian Reavis [ctb, cph] (selectize.js library), Kristopher Michael Kowal [ctb, cph] (es5-shim library), es5-shim contributors [ctb, cph] (es5-shim library), Denis Ineshin [ctb, cph] (ion.rangeSlider library), Sami Samhuri [ctb, cph] (Javascript strftime library), SpryMedia Limited [ctb, cph] (DataTables library), John Fraser [ctb, cph] (showdown.js library), John Gruber [ctb, cph] (showdown.js library), Ivan Sagalaev [ctb, cph] (highlight.js library), R Core Team [ctb, cph] (tar implementation from R)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between shiny versions 0.14.2 dated 2016-11-01 and 1.0.0 dated 2017-01-11

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More information about shiny at CRAN
Permanent link

Package rredlist updated to version 0.3.0 with previous version 0.2.0 dated 2016-10-15

Title: 'IUCN' Red List Client
Description: 'IUCN' Red List (<http://apiv3.iucnredlist.org/api/v3/docs>) client. The 'IUCN' Red List is a global list of threatened and endangered species. Functions cover all of the Red List 'API' routes. An 'API' key is required.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between rredlist versions 0.2.0 dated 2016-10-15 and 0.3.0 dated 2017-01-11

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Package robCompositions updated to version 2.0.3 with previous version 2.0.2 dated 2016-08-22

Title: Robust Estimation for Compositional Data
Description: Methods for analysis of compositional data including robust methods, imputation, methods to replace rounded zeros, (robust) outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis for compositional data, (robust) discriminant analysis for compositional data (Fisher rule), robust regression with compositional predictors and (robust) Anderson-Darling normality tests for compositional data as well as popular log-ratio transformations (addLR, cenLR, isomLR, and their inverse transformations). In addition, visualisation and diagnostic tools are implemented as well as high and low-level plot functions for the ternary diagram.
Author: Matthias Templ, Karel Hron, Peter Filzmoser
Maintainer: Matthias Templ <templ@tuwien.ac.at>

Diff between robCompositions versions 2.0.2 dated 2016-08-22 and 2.0.3 dated 2017-01-11

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More information about robCompositions at CRAN
Permanent link

Package RmarineHeatWaves updated to version 0.14.1 with previous version 0.14.0 dated 2016-12-11

Title: Detect Marine Heat Waves and Marine Cold Spells
Description: Given a time series of daily temperatures, the package provides tools to detect extreme thermal events, including marine heat waves, and to calculate the exceedences above or below specified threshold values. It outputs the properties of all detected events and exceedences.
Author: Albertus J. Smit [aut, cre] (R implementation.), Eric C. J. Oliver [aut] (The brain behind the Python implementation.), Robert W. Schlegel [ctb] (Graphical and data summaries.)
Maintainer: Albertus J. Smit <albertus.smit@gmail.com>

Diff between RmarineHeatWaves versions 0.14.0 dated 2016-12-11 and 0.14.1 dated 2017-01-11

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More information about RmarineHeatWaves at CRAN
Permanent link

New package restfulr with initial version 0.0.8
Package: restfulr
Type: Package
Title: R Interface to RESTful Web Services
Version: 0.0.8
Author: Michael Lawrence
Maintainer: Michael Lawrence <michafla@gene.com>
Description: Models a RESTful service as if it were a nested R list.
License: Artistic-2.0
Imports: XML, RCurl, rjson, S4Vectors (>= 0.7.18), yaml
Depends: methods
Suggests: getPass, rsolr, RUnit
Collate: CRUDProtocol-class.R CacheInfo-class.R Credentials-class.R HTTP-class.R Media-class.R MediaCache-class.R RestUri-class.R RestContainer-class.R test_restfulr_package.R utils.R
NeedsCompilation: yes
Packaged: 2017-01-11 17:40:34 UTC; michafla
Repository: CRAN
Date/Publication: 2017-01-12 01:00:53

More information about restfulr at CRAN
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Package pinbasic updated to version 1.0.1 with previous version 1.0.0 dated 2017-01-09

Title: Fast and Stable Estimation of the Probability of Informed Trading (PIN)
Description: Utilities for fast and stable estimation of the probability of informed trading (PIN) in the model introduced by Easley et al. (2002) <DOI:10.1111/1540-6261.00493> are implemented. Since the basic model developed by Easley et al. (1996) <DOI:10.1111/j.1540-6261.1996.tb04074.x> is nested in the former due to equating the intensity of uninformed buys and sells, functions can also be applied to this simpler model structure, if needed. State-of-the-art factorization of the model likelihood function as well as most recent algorithms for generating initial values for optimization routines are implemented. In total, two likelihood factorizations and three methodologies for starting values are included. Furthermore, functions for simulating datasets of daily aggregated buys and sells, calculating confidence intervals for the probability of informed trading and posterior probabilities of trading days' conditions are available.
Author: Andreas Recktenwald [aut, cre]
Maintainer: Andreas Recktenwald <a.recktenwald@mx.uni-saarland.de>

Diff between pinbasic versions 1.0.0 dated 2017-01-09 and 1.0.1 dated 2017-01-11

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Package equate updated to version 2.0.6 with previous version 2.0-5 dated 2016-10-21

Title: Observed-Score Linking and Equating
Description: Contains methods for observed-score linking and equating under the single-group, equivalent-groups, and nonequivalent-groups with anchor test(s) designs. Equating types include identity, mean, linear, general linear, equipercentile, circle-arc, and composites of these. Equating methods include synthetic, nominal weights, Tucker, Levine observed score, Levine true score, Braun/Holland, frequency estimation, and chained equating. Plotting and summary methods, and methods for multivariate presmoothing and bootstrap error estimation are also provided.
Author: Anthony Albano <tony.d.albano@gmail.com>
Maintainer: Anthony Albano <tony.d.albano@gmail.com>

Diff between equate versions 2.0-5 dated 2016-10-21 and 2.0.6 dated 2017-01-11

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Package CDM updated to version 5.3-0 with previous version 5.2-1 dated 2016-10-14

Title: Cognitive Diagnosis Modeling
Description: Functions for cognitive diagnosis modeling and multidimensional item response modeling for dichotomous and polytomous data. This package enables the estimation of the DINA and DINO model, the multiple group (polytomous) GDINA model, the multiple choice DINA model, the general diagnostic model (GDM), the multidimensional linear compensatory item response model and the structured latent class model (SLCA).
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Ann Cathrice George [aut], Ali Uenlue [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between CDM versions 5.2-1 dated 2016-10-14 and 5.3-0 dated 2017-01-11

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Package VineCopula updated to version 2.1.1 with previous version 2.1.0 dated 2016-12-23

Title: Statistical Inference of Vine Copulas
Description: Provides tools for the statistical analysis of vine copula models. The package includes tools for parameter estimation, model selection, simulation, goodness-of-fit tests, and visualization. Tools for estimation, selection and exploratory data analysis of bivariate copula models are also provided.
Author: Ulf Schepsmeier [aut], Jakob Stoeber [aut], Eike Christian Brechmann [aut], Benedikt Graeler [aut], Thomas Nagler [aut, cre], Tobias Erhardt [aut], Carlos Almeida [ctb], Aleksey Min [ctb, ths], Claudia Czado [ctb, ths], Mathias Hofmann [ctb], Matthias Killiches [ctb], Harry Joe [ctb], Thibault Vatter [ctb]
Maintainer: Thomas Nagler <thomas.nagler@tum.de>

Diff between VineCopula versions 2.1.0 dated 2016-12-23 and 2.1.1 dated 2017-01-11

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Package sirt updated to version 1.14-0 with previous version 1.13-1 dated 2016-11-17

Title: Supplementary Item Response Theory Models
Description: Supplementary item response theory models to complement existing functions in R, including multidimensional compensatory and noncompensatory IRT models, MCMC for hierarchical IRT models and testlet models, NOHARM, Rasch copula model, faceted and hierarchical rater models, ordinal IRT model (ISOP), DETECT statistic, local structural equation modeling (LSEM), mean and covariance structure modelling for multivariate normally distributed data.
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between sirt versions 1.13-1 dated 2016-11-17 and 1.14-0 dated 2017-01-11

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Package scoringRules updated to version 0.9.2 with previous version 0.9.1 dated 2016-09-06

Title: Scoring Rules for Parametric and Simulated Distribution Forecasts
Description: Dictionary-like reference for computing scoring rules in a wide range of situations. Covers both parametric forecast distributions (such as mixtures of Gaussians) and distributions generated via simulation.
Author: Alexander Jordan, Fabian Krueger, Sebastian Lerch
Maintainer: Fabian Krueger <Fabian.Krueger83@gmail.com>

Diff between scoringRules versions 0.9.1 dated 2016-09-06 and 0.9.2 dated 2017-01-11

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Package RMixpanel updated to version 0.6-0 with previous version 0.5-2 dated 2016-12-15

Title: API for Mixpanel
Description: Provides an interface to many endpoints of Mixpanel's Data Export, Engage and JQL API. The R functions allow for event and profile data export as well as for segmentation, retention, funnel and addiction analysis. Results are always parsed into convenient R objects. Furthermore it is possible to load and update profiles.
Author: Meinhard Ploner [aut, cre, cph], ProSiebenSat.1 Digital GmbH [cph], BCG Digital Ventures GmbH [cph]
Maintainer: Meinhard Ploner <meinhard.ploner@gmail.com>

Diff between RMixpanel versions 0.5-2 dated 2016-12-15 and 0.6-0 dated 2017-01-11

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New package QRank with initial version 1.0
Package: QRank
Type: Package
Title: A Novel Quantile Regression Approach for eQTL discovery
Version: 1.0
Date: 2016-12-25
Author: Xiaoyu Song
Maintainer: Xiaoyu Song <xs2148@cumc.columbia.edu>
Description: A Quantile Rank-score based test for the identification of expression quantitative trait loci.
License: GPL (>= 2)
Imports: quantreg
NeedsCompilation: no
Packaged: 2017-01-11 12:44:41 UTC; Destiny
Repository: CRAN
Date/Publication: 2017-01-11 17:13:11

More information about QRank at CRAN
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Package moveHMM updated to version 1.3 with previous version 1.2 dated 2016-06-04

Title: Animal Movement Modelling using Hidden Markov Models
Description: Provides tools for animal movement modelling using hidden Markov models. These include processing of tracking data, fitting hidden Markov models to movement data, visualization of data and fitted model, decoding of the state process...
Author: Theo Michelot, Roland Langrock, Toby Patterson, Eric Rexstad (ctb)
Maintainer: Theo Michelot <tmichelot1@sheffield.ac.uk>

Diff between moveHMM versions 1.2 dated 2016-06-04 and 1.3 dated 2017-01-11

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Package miceadds updated to version 2.2-0 with previous version 2.1-0 dated 2016-11-25

Title: Some Additional Multiple Imputation Functions, Especially for 'mice'
Description: Contains some auxiliary functions for multiple imputation which complements existing functionality in R. In addition to some utility functions, main features include plausible value imputation, multilevel imputation functions, imputation using partial least squares (PLS) for high dimensional predictors, nested multiple imputation.
Author: Alexander Robitzsch [aut, cre], Simon Grund [aut], Thorsten Henke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between miceadds versions 2.1-0 dated 2016-11-25 and 2.2-0 dated 2017-01-11

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Package meteoland updated to version 0.5.2 with previous version 0.4.9 dated 2016-11-21

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape.
Author: Miquel De Caceres, Nicolas Martin, Antoine Cabon
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

Diff between meteoland versions 0.4.9 dated 2016-11-21 and 0.5.2 dated 2017-01-11

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New package esmisc with initial version 0.0.3
Package: esmisc
Type: Package
Title: Misc Functions of Eduard Szöcs
Version: 0.0.3
Date: 2017-01-10
Authors@R: c(person("Eduard", "Szöcs", role = c("aut", "cre"), email = "eduardszoecs@gmail.com"))
Maintainer: Eduard Szöcs <eduardszoecs@gmail.com>
Description: Misc functions programmed by Eduard Szöcs. Provides read_regnie() to read gridded precipitation data from German Weather Service (DWD, see <http://www.dwd.de/> for more information).
License: MIT + file LICENSE
URL: https://github.com/EDiLD/esmisc
BugReports: https://github.com/EDiLD/esmisc/issues
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
Depends: R (>= 3.1.0)
Imports: raster, ggplot2, readr
Suggests: testthat
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-01-11 07:50:09 UTC; edisz
Author: Eduard Szöcs [aut, cre]
Repository: CRAN
Date/Publication: 2017-01-11 10:34:49

More information about esmisc at CRAN
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Package distdrawr updated to version 0.1.2 with previous version 0.1.1 dated 2016-09-17

Title: Download Occurrence Data of Vascular Plants in Germany from the FLORKART Database
Description: Download data from the FlorKart database of the floristic field mapping in Germany in a convenient way. The database incorporates distribution data for plants in Germany on the basis of quadrants on a topographical map with a resolution of 1 : 25000 (TK 25). The data is owned and provided by the German Federal Agency for Nature Conservation (BfN) and the Network Phytodiversity in Germany (NetPhyD). For further information please visit <http://www.floraweb.de/pflanzenarten/hintergrundtexte_florkart_organisation.html>. The author of this package is in no way associated with the BfN or NetPhyD.
Author: Nicolas Friess [aut, cre]
Maintainer: Nicolas Friess <nico.friess@posteo.de>

Diff between distdrawr versions 0.1.1 dated 2016-09-17 and 0.1.2 dated 2017-01-11

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Package VGAM updated to version 1.0-3 with previous version 1.0-2 dated 2016-05-27

Title: Vector Generalized Linear and Additive Models
Description: An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.
Author: Thomas W. Yee <t.yee@auckland.ac.nz>
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>

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 VGAM-1.0-3/VGAM/man/cens.normal.Rd               |    4 
 VGAM-1.0-3/VGAM/man/cfibrosis.Rd                 |    2 
 VGAM-1.0-3/VGAM/man/cgo.Rd                       |   10 
 VGAM-1.0-3/VGAM/man/chest.nz.Rd                  |    4 
 VGAM-1.0-3/VGAM/man/chisq.Rd                     |    2 
 VGAM-1.0-3/VGAM/man/clo.Rd                       |    4 
 VGAM-1.0-3/VGAM/man/cloglog.Rd                   |   12 
 VGAM-1.0-3/VGAM/man/coefvgam.Rd                  |    2 
 VGAM-1.0-3/VGAM/man/coefvlm.Rd                   |    2 
 VGAM-1.0-3/VGAM/man/confintvglm.Rd               |  118 
 VGAM-1.0-3/VGAM/man/constraints.Rd               |    2 
 VGAM-1.0-3/VGAM/man/corbet.Rd                    |    2 
 VGAM-1.0-3/VGAM/man/cqo.Rd                       |   38 
 VGAM-1.0-3/VGAM/man/crashes.Rd                   |   12 
 VGAM-1.0-3/VGAM/man/cratio.Rd                    |    2 
 VGAM-1.0-3/VGAM/man/cumulative.Rd                |   18 
 VGAM-1.0-3/VGAM/man/dagum.Rd                     |   12 
 VGAM-1.0-3/VGAM/man/deplot.lmscreg.Rd            |    4 
 VGAM-1.0-3/VGAM/man/depvar.Rd                    |    2 
 VGAM-1.0-3/VGAM/man/df.residual.Rd               |    4 
 VGAM-1.0-3/VGAM/man/diffzeta.Rd                  |only
 VGAM-1.0-3/VGAM/man/diffzetaUC.Rd                |only
 VGAM-1.0-3/VGAM/man/dirichlet.Rd                 |    4 
 VGAM-1.0-3/VGAM/man/dirmul.old.Rd                |    8 
 VGAM-1.0-3/VGAM/man/dirmultinomial.Rd            |   31 
 VGAM-1.0-3/VGAM/man/double.cens.normal.Rd        |    2 
 VGAM-1.0-3/VGAM/man/double.expbinomial.Rd        |    8 
 VGAM-1.0-3/VGAM/man/eexpUC.Rd                    |    4 
 VGAM-1.0-3/VGAM/man/enormUC.Rd                   |    4 
 VGAM-1.0-3/VGAM/man/enzyme.Rd                    |    2 
 VGAM-1.0-3/VGAM/man/erlang.Rd                    |    8 
 VGAM-1.0-3/VGAM/man/eunifUC.Rd                   |    4 
 VGAM-1.0-3/VGAM/man/expexpff.Rd                  |    2 
 VGAM-1.0-3/VGAM/man/expexpff1.Rd                 |    2 
 VGAM-1.0-3/VGAM/man/expint3.Rd                   |   12 
 VGAM-1.0-3/VGAM/man/explink.Rd                   |    2 
 VGAM-1.0-3/VGAM/man/exponential.Rd               |    4 
 VGAM-1.0-3/VGAM/man/felix.Rd                     |   11 
 VGAM-1.0-3/VGAM/man/felixUC.Rd                   |   18 
 VGAM-1.0-3/VGAM/man/fff.Rd                       |    8 
 VGAM-1.0-3/VGAM/man/fill.Rd                      |   16 
 VGAM-1.0-3/VGAM/man/fisherz.Rd                   |    6 
 VGAM-1.0-3/VGAM/man/fisk.Rd                      |   14 
 VGAM-1.0-3/VGAM/man/fittedvlm.Rd                 |   16 
 VGAM-1.0-3/VGAM/man/flourbeetle.Rd               |    6 
 VGAM-1.0-3/VGAM/man/foldnormUC.Rd                |    2 
 VGAM-1.0-3/VGAM/man/foldnormal.Rd                |    4 
 VGAM-1.0-3/VGAM/man/foldsqrt.Rd                  |    2 
 VGAM-1.0-3/VGAM/man/frechet.Rd                   |    6 
 VGAM-1.0-3/VGAM/man/freund61.Rd                  |   20 
 VGAM-1.0-3/VGAM/man/gamma1.Rd                    |    6 
 VGAM-1.0-3/VGAM/man/gamma2.Rd                    |    4 
 VGAM-1.0-3/VGAM/man/gammaR.Rd                    |    6 
 VGAM-1.0-3/VGAM/man/gammahyperbola.Rd            |    2 
 VGAM-1.0-3/VGAM/man/garma.Rd                     |    4 
 VGAM-1.0-3/VGAM/man/gaussianff.Rd                |    2 
 VGAM-1.0-3/VGAM/man/genbetaII.Rd                 |    6 
 VGAM-1.0-3/VGAM/man/gengamma.Rd                  |    6 
 VGAM-1.0-3/VGAM/man/genpoisUC.Rd                 |    2 
 VGAM-1.0-3/VGAM/man/genpoisson.Rd                |    6 
 VGAM-1.0-3/VGAM/man/geometric.Rd                 |   10 
 VGAM-1.0-3/VGAM/man/gev.Rd                       |   20 
 VGAM-1.0-3/VGAM/man/gevUC.Rd                     |    2 
 VGAM-1.0-3/VGAM/man/gew.Rd                       |    2 
 VGAM-1.0-3/VGAM/man/golf.Rd                      |    8 
 VGAM-1.0-3/VGAM/man/gompertz.Rd                  |    4 
 VGAM-1.0-3/VGAM/man/gpd.Rd                       |    4 
 VGAM-1.0-3/VGAM/man/gpdUC.Rd                     |    2 
 VGAM-1.0-3/VGAM/man/grain.us.Rd                  |    2 
 VGAM-1.0-3/VGAM/man/grc.Rd                       |   26 
 VGAM-1.0-3/VGAM/man/gumbel.Rd                    |   44 
 VGAM-1.0-3/VGAM/man/gumbelII.Rd                  |   12 
 VGAM-1.0-3/VGAM/man/gumbelUC.Rd                  |    2 
 VGAM-1.0-3/VGAM/man/guplot.Rd                    |   10 
 VGAM-1.0-3/VGAM/man/has.intercept.Rd             |    2 
 VGAM-1.0-3/VGAM/man/hormone.Rd                   |    4 
 VGAM-1.0-3/VGAM/man/hspider.Rd                   |    4 
 VGAM-1.0-3/VGAM/man/huber.Rd                     |    8 
 VGAM-1.0-3/VGAM/man/huberUC.Rd                   |    4 
 VGAM-1.0-3/VGAM/man/hunua.Rd                     |   10 
 VGAM-1.0-3/VGAM/man/hyperg.Rd                    |   10 
 VGAM-1.0-3/VGAM/man/hypersecant.Rd               |    8 
 VGAM-1.0-3/VGAM/man/hzeta.Rd                     |   44 
 VGAM-1.0-3/VGAM/man/hzetaUC.Rd                   |   49 
 VGAM-1.0-3/VGAM/man/iam.Rd                       |   28 
 VGAM-1.0-3/VGAM/man/identitylink.Rd              |    8 
 VGAM-1.0-3/VGAM/man/inv.binomial.Rd              |    4 
 VGAM-1.0-3/VGAM/man/inv.gaussianff.Rd            |    8 
 VGAM-1.0-3/VGAM/man/inv.lomax.Rd                 |    4 
 VGAM-1.0-3/VGAM/man/inv.paralogistic.Rd          |   12 
 VGAM-1.0-3/VGAM/man/is.buggy.Rd                  |   17 
 VGAM-1.0-3/VGAM/man/kendall.tau.Rd               |    8 
 VGAM-1.0-3/VGAM/man/kumar.Rd                     |   16 
 VGAM-1.0-3/VGAM/man/kumarUC.Rd                   |    2 
 VGAM-1.0-3/VGAM/man/lakeO.Rd                     |    2 
 VGAM-1.0-3/VGAM/man/laplace.Rd                   |    2 
 VGAM-1.0-3/VGAM/man/laplaceUC.Rd                 |    4 
 VGAM-1.0-3/VGAM/man/latvar.Rd                    |    2 
 VGAM-1.0-3/VGAM/man/leipnik.Rd                   |   33 
 VGAM-1.0-3/VGAM/man/lerch.Rd                     |    6 
 VGAM-1.0-3/VGAM/man/levy.Rd                      |   10 
 VGAM-1.0-3/VGAM/man/lgammaff.Rd                  |   10 
 VGAM-1.0-3/VGAM/man/lindUC.Rd                    |    7 
 VGAM-1.0-3/VGAM/man/lindley.Rd                   |    6 
 VGAM-1.0-3/VGAM/man/linkfun.Rd                   |    2 
 VGAM-1.0-3/VGAM/man/linkfun.vglm.Rd              |    6 
 VGAM-1.0-3/VGAM/man/lino.Rd                      |    4 
 VGAM-1.0-3/VGAM/man/linoUC.Rd                    |    2 
 VGAM-1.0-3/VGAM/man/lirat.Rd                     |    4 
 VGAM-1.0-3/VGAM/man/lms.bcg.Rd                   |    4 
 VGAM-1.0-3/VGAM/man/lms.bcn.Rd                   |    6 
 VGAM-1.0-3/VGAM/man/lms.yjn.Rd                   |   26 
 VGAM-1.0-3/VGAM/man/logF.Rd                      |    2 
 VGAM-1.0-3/VGAM/man/logF.UC.Rd                   |    4 
 VGAM-1.0-3/VGAM/man/logUC.Rd                     |   62 
 VGAM-1.0-3/VGAM/man/logc.Rd                      |    2 
 VGAM-1.0-3/VGAM/man/loge.Rd                      |    2 
 VGAM-1.0-3/VGAM/man/logff.Rd                     |   30 
 VGAM-1.0-3/VGAM/man/logistic.Rd                  |    2 
 VGAM-1.0-3/VGAM/man/logit.Rd                     |   10 
 VGAM-1.0-3/VGAM/man/logitoffsetlink.Rd           |    2 
 VGAM-1.0-3/VGAM/man/loglaplace.Rd                |   12 
 VGAM-1.0-3/VGAM/man/loglinb2.Rd                  |   12 
 VGAM-1.0-3/VGAM/man/loglog.Rd                    |    2 
 VGAM-1.0-3/VGAM/man/lognormal.Rd                 |    4 
 VGAM-1.0-3/VGAM/man/logoff.Rd                    |    4 
 VGAM-1.0-3/VGAM/man/lomax.Rd                     |    4 
 VGAM-1.0-3/VGAM/man/lqnorm.Rd                    |    4 
 VGAM-1.0-3/VGAM/man/lrtest.Rd                    |   12 
 VGAM-1.0-3/VGAM/man/lvplot.qrrvglm.Rd            |   74 
 VGAM-1.0-3/VGAM/man/lvplot.rrvglm.Rd             |   34 
 VGAM-1.0-3/VGAM/man/machinists.Rd                |    4 
 VGAM-1.0-3/VGAM/man/makeham.Rd                   |   18 
 VGAM-1.0-3/VGAM/man/makehamUC.Rd                 |    2 
 VGAM-1.0-3/VGAM/man/margeff.Rd                   |    2 
 VGAM-1.0-3/VGAM/man/maxwell.Rd                   |    6 
 VGAM-1.0-3/VGAM/man/maxwellUC.Rd                 |    6 
 VGAM-1.0-3/VGAM/man/mccullagh89.Rd               |    4 
 VGAM-1.0-3/VGAM/man/micmen.Rd                    |    2 
 VGAM-1.0-3/VGAM/man/mix2exp.Rd                   |    2 
 VGAM-1.0-3/VGAM/man/mix2normal.Rd                |   12 
 VGAM-1.0-3/VGAM/man/mix2poisson.Rd               |    2 
 VGAM-1.0-3/VGAM/man/model.matrixvlm.Rd           |   10 
 VGAM-1.0-3/VGAM/man/moffset.Rd                   |   10 
 VGAM-1.0-3/VGAM/man/multilogit.Rd                |    2 
 VGAM-1.0-3/VGAM/man/multinomial.Rd               |   20 
 VGAM-1.0-3/VGAM/man/nakagami.Rd                  |   18 
 VGAM-1.0-3/VGAM/man/nakagamiUC.Rd                |    2 
 VGAM-1.0-3/VGAM/man/nbcanlink.Rd                 |    2 
 VGAM-1.0-3/VGAM/man/nbolf.Rd                     |    6 
 VGAM-1.0-3/VGAM/man/negbinomial.Rd               |   68 
 VGAM-1.0-3/VGAM/man/negbinomial.size.Rd          |    2 
 VGAM-1.0-3/VGAM/man/normal.vcm.Rd                |    2 
 VGAM-1.0-3/VGAM/man/notdocumentedyet.Rd          |   42 
 VGAM-1.0-3/VGAM/man/oalog.Rd                     |only
 VGAM-1.0-3/VGAM/man/oalogUC.Rd                   |only
 VGAM-1.0-3/VGAM/man/oapospoisUC.Rd               |only
 VGAM-1.0-3/VGAM/man/oapospoisson.Rd              |only
 VGAM-1.0-3/VGAM/man/oazeta.Rd                    |only
 VGAM-1.0-3/VGAM/man/oazetaUC.Rd                  |only
 VGAM-1.0-3/VGAM/man/oilog.Rd                     |only
 VGAM-1.0-3/VGAM/man/oilogUC.Rd                   |only
 VGAM-1.0-3/VGAM/man/oiposbinomUC.Rd              |   16 
 VGAM-1.0-3/VGAM/man/oiposbinomial.Rd             |only
 VGAM-1.0-3/VGAM/man/oipospoisUC.Rd               |   10 
 VGAM-1.0-3/VGAM/man/oipospoisson.Rd              |    8 
 VGAM-1.0-3/VGAM/man/oizeta.Rd                    |only
 VGAM-1.0-3/VGAM/man/oizetaUC.Rd                  |only
 VGAM-1.0-3/VGAM/man/oizipf.Rd                    |only
 VGAM-1.0-3/VGAM/man/oizipfUC.Rd                  |only
 VGAM-1.0-3/VGAM/man/ordpoisson.Rd                |    6 
 VGAM-1.0-3/VGAM/man/otlog.Rd                     |only
 VGAM-1.0-3/VGAM/man/otlogUC.Rd                   |only
 VGAM-1.0-3/VGAM/man/otpospoisUC.Rd               |only
 VGAM-1.0-3/VGAM/man/otpospoisson.Rd              |only
 VGAM-1.0-3/VGAM/man/otzeta.Rd                    |only
 VGAM-1.0-3/VGAM/man/otzetaUC.Rd                  |only
 VGAM-1.0-3/VGAM/man/paralogistic.Rd              |   10 
 VGAM-1.0-3/VGAM/man/paretoIV.Rd                  |   16 
 VGAM-1.0-3/VGAM/man/paretoIVUC.Rd                |    2 
 VGAM-1.0-3/VGAM/man/paretoff.Rd                  |    8 
 VGAM-1.0-3/VGAM/man/perks.Rd                     |   17 
 VGAM-1.0-3/VGAM/man/perksUC.Rd                   |    4 
 VGAM-1.0-3/VGAM/man/persp.qrrvglm.Rd             |   16 
 VGAM-1.0-3/VGAM/man/pgamma.deriv.Rd              |   10 
 VGAM-1.0-3/VGAM/man/pgamma.deriv.unscaled.Rd     |    2 
 VGAM-1.0-3/VGAM/man/plotdeplot.lmscreg.Rd        |   12 
 VGAM-1.0-3/VGAM/man/plotqrrvglm.Rd               |   14 
 VGAM-1.0-3/VGAM/man/plotqtplot.lmscreg.Rd        |   16 
 VGAM-1.0-3/VGAM/man/plotrcim0.Rd                 |   28 
 VGAM-1.0-3/VGAM/man/plotvgam.Rd                  |   20 
 VGAM-1.0-3/VGAM/man/plotvgam.control.Rd          |   18 
 VGAM-1.0-3/VGAM/man/plotvglm.Rd                  |   14 
 VGAM-1.0-3/VGAM/man/pneumo.Rd                    |    4 
 VGAM-1.0-3/VGAM/man/poisson.points.Rd            |    2 
 VGAM-1.0-3/VGAM/man/poissonff.Rd                 |   10 
 VGAM-1.0-3/VGAM/man/polf.Rd                      |    8 
 VGAM-1.0-3/VGAM/man/polonoUC.Rd                  |    8 
 VGAM-1.0-3/VGAM/man/posbernUC.Rd                 |   16 
 VGAM-1.0-3/VGAM/man/posbernoulli.b.Rd            |    2 
 VGAM-1.0-3/VGAM/man/posbernoulli.t.Rd            |    6 
 VGAM-1.0-3/VGAM/man/posbernoulli.tb.Rd           |    2 
 VGAM-1.0-3/VGAM/man/posbinomUC.Rd                |    6 
 VGAM-1.0-3/VGAM/man/posbinomial.Rd               |    2 
 VGAM-1.0-3/VGAM/man/posgeomUC.Rd                 |    6 
 VGAM-1.0-3/VGAM/man/posnegbinUC.Rd               |   13 
 VGAM-1.0-3/VGAM/man/posnegbinomial.Rd            |   54 
 VGAM-1.0-3/VGAM/man/posnormUC.Rd                 |    2 
 VGAM-1.0-3/VGAM/man/posnormal.Rd                 |    8 
 VGAM-1.0-3/VGAM/man/pospoisUC.Rd                 |    4 
 VGAM-1.0-3/VGAM/man/pospoisson.Rd                |    4 
 VGAM-1.0-3/VGAM/man/powerlink.Rd                 |    2 
 VGAM-1.0-3/VGAM/man/prats.Rd                     |    6 
 VGAM-1.0-3/VGAM/man/predictqrrvglm.Rd            |    4 
 VGAM-1.0-3/VGAM/man/predictvglm.Rd               |   43 
 VGAM-1.0-3/VGAM/man/prentice74.Rd                |    6 
 VGAM-1.0-3/VGAM/man/probit.Rd                    |    6 
 VGAM-1.0-3/VGAM/man/propodds.Rd                  |    2 
 VGAM-1.0-3/VGAM/man/qrrvglm.control.Rd           |   54 
 VGAM-1.0-3/VGAM/man/qtplot.lmscreg.Rd            |   14 
 VGAM-1.0-3/VGAM/man/quasibinomialff.Rd           |   12 
 VGAM-1.0-3/VGAM/man/quasipoissonff.Rd            |    2 
 VGAM-1.0-3/VGAM/man/rayleigh.Rd                  |    2 
 VGAM-1.0-3/VGAM/man/rcqo.Rd                      |   54 
 VGAM-1.0-3/VGAM/man/rdiric.Rd                    |   14 
 VGAM-1.0-3/VGAM/man/rec.exp1.Rd                  |    2 
 VGAM-1.0-3/VGAM/man/rec.normal.Rd                |    4 
 VGAM-1.0-3/VGAM/man/reciprocal.Rd                |    2 
 VGAM-1.0-3/VGAM/man/rhobit.Rd                    |    2 
 VGAM-1.0-3/VGAM/man/riceff.Rd                    |    4 
 VGAM-1.0-3/VGAM/man/rigff.Rd                     |    4 
 VGAM-1.0-3/VGAM/man/rlplot.gevff.Rd              |    6 
 VGAM-1.0-3/VGAM/man/rrar.Rd                      |   14 
 VGAM-1.0-3/VGAM/man/rrvglm-class.Rd              |   14 
 VGAM-1.0-3/VGAM/man/rrvglm.Rd                    |    6 
 VGAM-1.0-3/VGAM/man/rrvglm.control.Rd            |   20 
 VGAM-1.0-3/VGAM/man/rrvglm.optim.control.Rd      |   10 
 VGAM-1.0-3/VGAM/man/s.Rd                         |   54 
 VGAM-1.0-3/VGAM/man/sc.studentt2.Rd              |    8 
 VGAM-1.0-3/VGAM/man/sc.t2UC.Rd                   |    2 
 VGAM-1.0-3/VGAM/man/seq2binomial.Rd              |   10 
 VGAM-1.0-3/VGAM/man/simplex.Rd                   |    6 
 VGAM-1.0-3/VGAM/man/simplexUC.Rd                 |    2 
 VGAM-1.0-3/VGAM/man/simulate.vlm.Rd              |   10 
 VGAM-1.0-3/VGAM/man/sinmad.Rd                    |    6 
 VGAM-1.0-3/VGAM/man/skellam.Rd                   |    6 
 VGAM-1.0-3/VGAM/man/skewnormUC.Rd                |    8 
 VGAM-1.0-3/VGAM/man/skewnormal.Rd                |    2 
 VGAM-1.0-3/VGAM/man/slash.Rd                     |   37 
 VGAM-1.0-3/VGAM/man/slashUC.Rd                   |    6 
 VGAM-1.0-3/VGAM/man/sm.os.Rd                     |only
 VGAM-1.0-3/VGAM/man/sm.ps.Rd                     |only
 VGAM-1.0-3/VGAM/man/smartpred.Rd                 |    2 
 VGAM-1.0-3/VGAM/man/sratio.Rd                    |    4 
 VGAM-1.0-3/VGAM/man/studentt.Rd                  |    6 
 VGAM-1.0-3/VGAM/man/summarypvgam.Rd              |only
 VGAM-1.0-3/VGAM/man/summaryvgam.Rd               |only
 VGAM-1.0-3/VGAM/man/summaryvglm.Rd               |   24 
 VGAM-1.0-3/VGAM/man/tikuv.Rd                     |    2 
 VGAM-1.0-3/VGAM/man/tikuvUC.Rd                   |    2 
 VGAM-1.0-3/VGAM/man/tobit.Rd                     |   16 
 VGAM-1.0-3/VGAM/man/tobitUC.Rd                   |    8 
 VGAM-1.0-3/VGAM/man/topple.Rd                    |only
 VGAM-1.0-3/VGAM/man/toppleUC.Rd                  |only
 VGAM-1.0-3/VGAM/man/triangle.Rd                  |   10 
 VGAM-1.0-3/VGAM/man/triangleUC.Rd                |    3 
 VGAM-1.0-3/VGAM/man/trplot.Rd                    |    2 
 VGAM-1.0-3/VGAM/man/trplot.qrrvglm.Rd            |   34 
 VGAM-1.0-3/VGAM/man/truncparetoUC.Rd             |    2 
 VGAM-1.0-3/VGAM/man/truncweibull.Rd              |   10 
 VGAM-1.0-3/VGAM/man/ucberk.Rd                    |    4 
 VGAM-1.0-3/VGAM/man/undocumented-methods.Rd      |   14 
 VGAM-1.0-3/VGAM/man/vcovvlm.Rd                   |    2 
 VGAM-1.0-3/VGAM/man/venice.Rd                    |   14 
 VGAM-1.0-3/VGAM/man/vgam-class.Rd                |   18 
 VGAM-1.0-3/VGAM/man/vgam.Rd                      |  242 
 VGAM-1.0-3/VGAM/man/vgam.control.Rd              |   90 
 VGAM-1.0-3/VGAM/man/vglm-class.Rd                |   40 
 VGAM-1.0-3/VGAM/man/vglm.Rd                      |   32 
 VGAM-1.0-3/VGAM/man/vglm.control.Rd              |   52 
 VGAM-1.0-3/VGAM/man/vglmff-class.Rd              |   24 
 VGAM-1.0-3/VGAM/man/vonmises.Rd                  |   10 
 VGAM-1.0-3/VGAM/man/vsmooth.spline.Rd            |   43 
 VGAM-1.0-3/VGAM/man/waitakere.Rd                 |    8 
 VGAM-1.0-3/VGAM/man/waldff.Rd                    |   25 
 VGAM-1.0-3/VGAM/man/weibull.mean.Rd              |    4 
 VGAM-1.0-3/VGAM/man/weibullR.Rd                  |   10 
 VGAM-1.0-3/VGAM/man/weightsvglm.Rd               |    4 
 VGAM-1.0-3/VGAM/man/wine.Rd                      |    8 
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Permanent link

New package textreadr with initial version 0.3.0
Package: textreadr
Title: Read Text Documents into R
Version: 0.3.0
Authors@R: c(person("Tyler", "Rinker", email = "tyler.rinker@gmail.com", role = c("aut", "cre")))
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>
Description: A small collection of convenience tools for reading text documents into R.
Depends: R (>= 3.2.2)
Suggests: testthat
Imports: curl, pdftools, readxl, textshape, tools, utils, XML
Date: 2017-01-10
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
BugReports: https://github.com/trinker/textreadr/issues?state=open
URL: https://github.com/trinker/textreadr
NeedsCompilation: no
Packaged: 2017-01-11 03:36:44 UTC; Tyler
Author: Tyler Rinker [aut, cre]
Repository: CRAN
Date/Publication: 2017-01-11 09:00:19

More information about textreadr at CRAN
Permanent link

Package RKEEL updated to version 1.1.15 with previous version 1.1.6 dated 2016-02-02

Title: Using Keel in R Code
Description: KEEL is a popular Java software for a large number of different knowledge data discovery tasks. This package takes the advantages of KEEL and R, allowing to use KEEL algorithms in simple R code. The implemented R code layer between R and KEEL makes easy both using KEEL algorithms in R as implementing new algorithms for 'RKEEL' in a very simple way. It includes more than 100 algorithms for classification, regression and preprocess, which allows a more complete experimentation process. For more information about KEEL, see <http://www.keel.es/>.
Author: Jose M. Moyano [aut, cre], Luciano Sanchez Ramos [aut], Oliver Sanchez Marin [ctb]
Maintainer: Jose M. Moyano <i02momuj@uco.es>

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New package RandPro with initial version 0.1.0
Package: RandPro
Type: Package
Title: Random Projection
Version: 0.1.0
Author: Aghila G, Siddharth R
Maintainer: Siddharth R <r.siddharthcse@gmail.com>
Description: Performs random projection using Johnson-Lindenstrauss (JL) Lemma (see William B.Johnson and Joram Lindenstrauss (1984) <doi:10.1090/conm/026/737400>). Random Projection is a technique, where the data in the high dimensional space is projected into the low dimensional space using JL transform. The original high dimensional data matrix is multiplied with the low dimensional random matrix which results in reduced matrix. The random matrix can be generated by Gaussian matrix or sparse matrix.
Imports: stats
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
Repository: CRAN
NeedsCompilation: no
Packaged: 2017-01-11 05:15:12 UTC; NIT
Date/Publication: 2017-01-11 08:59:29

More information about RandPro at CRAN
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Package QNB updated to version 1.1.7 with previous version 1.1.2 dated 2016-12-28

Title: Differential RNA Methylation Analysis for Count-Based Small-Sample Sequencing Data with a Quad-Negative Binomial Model
Description: As a newly emerged research area, RNA epigenetics has drawn increasing attention recently for the participation of RNA methylation and other modifications in a number of crucial biological processes. Thanks to high throughput sequencing techniques, such as m6A-Seq, transcriptome-wide RNA methylation profile is now available in the form of count-based data, with which it is often of interests to study the dynamics in epitranscriptomic layer. However, the sample size of RNA methylation experiment is usually very small due to its costs; and additionally, there usually exist a large number of genes whose methylation level cannot be accurately estimated due to their low expression level, making differential RNA methylation analysis a difficult task. We present QNB, a statistical approach for differential RNA methylation analysis with count-based small-sample sequencing data. The method is based on 4 independent negative binomial dis-tributions with their variances and means linked by local regressions. QNB showed improved performance on simulated and real m6A-Seq datasets when compared with competing algorithms. And the QNB model is also applicable to other datasets related RNA modifications, including but not limited to RNA bisulfite sequencing, m1A-Seq, Par-CLIP, RIP-Seq, etc.Please don't hesitate to contact <liulian19860905@163.com> if you have any questions.
Author: Lian Liu <liulian19860905@163.com>
Maintainer: Lian Liu <liulian19860905@163.com>

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Package ptstem updated to version 0.0.3 with previous version 0.0.2 dated 2016-09-17

Title: Stemming Algorithms for the Portuguese Language
Description: Wraps a collection of stemming algorithms for the Portuguese Language.
Author: Daniel Falbel [aut, cre]
Maintainer: Daniel Falbel <dfalbel@gmail.com>

Diff between ptstem versions 0.0.2 dated 2016-09-17 and 0.0.3 dated 2017-01-11

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Package maGUI updated to version 2.0 with previous version 1.0 dated 2015-10-12

Title: A Graphical User Interface for Microarray Data Analysis and Annotation
Description: Provides a Graphical User Interface for Analysing DNA Microarray Data. It performs functional enrichment on genes of interest, identifies gene symbols and also builds co-expression network.
Author: Dhammapal Bharne, Vaibhav Vindal
Maintainer: Dhammapal Bharne <dhammapalb@uohyd.ac.in>

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Package gstat updated to version 1.1-4 with previous version 1.1-3 dated 2016-03-31

Title: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Description: Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions.
Author: Edzer Pebesma [aut, cre], Benedikt Graeler [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package exCon updated to version 0.2.1 with previous version 0.1.14 dated 2016-01-26

Title: Interactive Exploration of Contour Data
Description: Interactive tools to explore topographic-like data sets. Such data sets take the form of a matrix in which the rows and columns provide location/frequency information, and the matrix elements contain altitude/response information. Such data is found in cartography, 2D spectroscopy and chemometrics. The functions in this package create interactive web pages showing the contoured data, possibly with slices from the original matrix parallel to each dimension. The interactive behavior is created using the D3.js 'JavaScript' library by Mike Bostock.
Author: Bryan A. Hanson [aut, cre], Kristina R. Mulry [ctb], Mike Bostock [cph, ctb] (author of the d3.js library, http://d3js.org)
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package cooccurNet updated to version 0.1.5 with previous version 0.1.4 dated 2016-12-15

Title: Co-Occurrence Network
Description: Read and preprocess fasta format data, and construct the co-occurrence network for downstream analyses. This R package is to construct the co-occurrence network with the algorithm developed by Du (2008) <DOI:10.1101/gr.6969007>. It could be used to transform the data with high-dimension, such as DNA or protein sequence, into co-occurrence networks. Co-occurrence network could not only capture the co-variation pattern between variables, such as the positions in DNA or protein sequences, but also reflect the relationship between samples. Although it is originally used in DNA and protein sequences, it could be also used to other kinds of data, such as RNA, SNP, etc.
Author: Yuanqiang Zou <jerrytsou2001@gmail.com>, Yousong Peng <pys2013@hnu.edu.cn> and Taijiao Jiang <taijiao@moon.ibp.ac.cn>
Maintainer: Yuanqiang Zou <jerrytsou2001@gmail.com>

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