Sat, 07 Oct 2017

Package sparseHessianFD updated to version 0.3.3.1 with previous version 0.3.3 dated 2017-04-19

Title: Numerical Estimation of Sparse Hessians
Description: Estimates Hessian of a scalar-valued function, and returns it in a sparse Matrix format. The sparsity pattern must be known in advance. The algorithm is especially efficient for hierarchical models with a large number of heterogeneous units.
Author: Michael Braun [aut, cre, cph]
Maintainer: Michael Braun <braunm@smu.edu>

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Package Rlinsolve updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-28

Title: Iterative Solvers for (Sparse) Linear System of Equations
Description: Solving a system of linear equations is one of the most fundamental computational problems for many fields of mathematical studies, such as regression problems from statistics or numerical partial differential equations. We provide basic stationary iterative solvers such as Jacobi, Gauss-Seidel, Successive Over-Relaxation and SSOR methods. Nonstationary, also known as Krylov subspace methods are also provided. Sparse matrix computation is also supported in that solving large and sparse linear systems can be manageable using 'Matrix' package along with 'RcppArmadillo'. For a more detailed description, see a book by Saad (2003) <doi:10.1137/1.9780898718003>.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kyou@nd.edu>

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Package BMhyb updated to version 1.5.2 with previous version 1.5.1 dated 2017-09-11

Title: Hybrid Trait Evolution under Brownian Motion
Description: Analyzes the phenotypic evolution of species of hybrid origin on a phylogenetic network. This package can detect the hybrid vigor effect, a burst of variation at formation, and the relative portion of heritability from its parents. Parameters are estimated by maximum likelihood. Users need to enter a comparative data set, a phylogeny, and information on gene flow leading to hybrids. See Jhwueng and O'Meara (2017) <DOI:10.1101/023986>.
Author: Dwueng-Chwuan Jhwueng <djhwueng@umail.iu.edu> and Brian O'Meara <omeara.brian@gmail.com>
Maintainer: Dwueng-Chwuan Jhwueng <djhwueng@umail.iu.edu>

Diff between BMhyb versions 1.5.1 dated 2017-09-11 and 1.5.2 dated 2017-10-07

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Package SQUAREM updated to version 2017.10-1 with previous version 2016.8-2 dated 2016-08-18

Title: Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
Description: Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("SQUAREM").
Author: Ravi Varadhan
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>

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Package sigr updated to version 0.2.0 with previous version 0.1.7 dated 2017-07-08

Title: Format Significance Summaries for Reports
Description: Succinctly format significance summaries of various models and tests (F-test, Chi-Sq-test, Fisher-test, T-test, and rank-significance). The main purpose is unified reporting and planning of experimental results, working around issue such as the difficulty of extracting model summary facts (such as with 'lm'/'glm'). This package also includes empirical tests, such as bootstrap estimates.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package enrichwith updated to version 0.0.5 with previous version 0.0.4 dated 2017-05-12

Title: Methods to Enrich R Objects with Extra Components
Description: Provides the "enrich" method to enrich list-like R objects with new, relevant components. The current version has methods for enriching objects of class 'family', 'link-glm', 'lm', 'glm' and 'betareg'. The resulting objects preserve their class, so all methods associated with them still apply. The package also provides the 'enriched_glm' function that has the same interface as 'glm' but results in objects of class 'enriched_glm'. In addition to the usual components in a `glm` object, 'enriched_glm' objects carry an object-specific simulate method and functions to compute the scores, the observed and expected information matrix, the first-order bias, as well as model densities, probabilities, and quantiles at arbitrary parameter values. The package can also be used to produce customizable source code templates for the structured implementation of methods to compute new components and enrich arbitrary objects.
Author: Ioannis Kosmidis [aut, cre]
Maintainer: Ioannis Kosmidis <i.kosmidis@ucl.ac.uk>

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Package tfruns updated to version 1.0 with previous version 0.9.1 dated 2017-08-24

Title: Training Run Tools for 'TensorFlow'
Description: Create and manage unique directories for each 'TensorFlow' training run. Provides a unique, time stamped directory for each run along with functions to retrieve the directory of the latest run or latest several runs.
Author: JJ Allaire [aut, cre], RStudio [cph, fnd], Mike Bostock [cph] (D3 library - https://d3js.org/), Masayuki Tanaka [cph] (C3 library - http://c3js.org/), jQuery Foundation [cph] (jQuery library), jQuery contributors [cph] (jQuery library; authors: inst/views/components/jquery-AUTHORS.txt), Shaun Bowe [cph] (jQuery visibilityChanged plugin), Materialize [cph] (Materizlize library - https://materializecss.com/), Yuxi You [cph] (Vue.js library - https://vuejs.org/), Kevin Decker [cph] (jsdiff library - https://github.com/kpdecker/jsdiff/), Rodrigo Fernandes [cph] (diff2html library - https://diff2html.xyz/), Ivan Sagalaev [cph] (highlight.js library - https://highlightjs.org/), Yauheni Pakala [cph] (highlightjs-line-numbers library)
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between tfruns versions 0.9.1 dated 2017-08-24 and 1.0 dated 2017-10-07

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Package gets updated to version 0.13 with previous version 0.12 dated 2017-02-18

Title: General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean.
Author: Genaro Sucarrat [aut, cre], Felix Pretis [aut], James Reade [aut]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>

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Package spData updated to version 0.2.6.0 with previous version 0.2.5.0 dated 2017-08-27

Title: Datasets for Spatial Analysis
Description: Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial (sp), and nb (spdep). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire and cycle_hire_osm, for example, is designed to illustrate point pattern analysis techniques. This package interacts with data available through the 'spDataLarge' package, which is available in a 'drat' repository. To access this data package, run 'install.packages("spDataLarge", repos = "https://nowosad.github.io/drat/", type = "source")'. The size of the 'spDataLarge' package is approximately 20 MB.
Author: Roger Bivand [aut], Jakub Nowosad [aut, cre], Robin Lovelace [aut]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

Diff between spData versions 0.2.5.0 dated 2017-08-27 and 0.2.6.0 dated 2017-10-07

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Package rgdal updated to version 1.2-13 with previous version 1.2-12 dated 2017-09-28

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.6.3) and access to projection/transformation operations from the 'PROJ.4' library. The 'GDAL' and 'PROJ.4' libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both 'GDAL' raster and 'OGR' vector map data can be imported into R, and 'GDAL' raster data and 'OGR' vector data exported. Use is made of classes defined in the 'sp' package. Windows and Mac Intel OS X binaries (including 'GDAL', 'PROJ.4' and 'Expat') are provided on 'CRAN'.
Author: Roger Bivand [cre, aut], Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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New package mra with initial version 2.16.10
Package: mra
Type: Package
Title: Mark-Recapture Analysis
Version: 2.16.10
Date: 2017-10-02
Authors@R: c( person("Trent", "McDonald", email="tmcdonald@west-inc.com", role=c("cre","aut")), person("Eric", "Regehr", email="eric_regehr@fws.gov", role=c("ctb")), person("Bryan", "Manly", email="BryanManly@xtra.co.nz", role=c("ctb")), person("Jeff", "Bromaghin", email="jbromaghin@usgs.gov", role=c("ctb")) )
Author: Trent McDonald [cre, aut], Eric Regehr [ctb], Bryan Manly [ctb], Jeff Bromaghin [ctb]
Maintainer: Trent McDonald <tmcdonald@west-inc.com>
Description: Accomplishes mark-recapture analysis with covariates. Models available include the Cormack-Jolly-Seber open population (Cormack (1972) <doi:10.2307/2556151>; Jolly (1965) <doi:10.2307/2333826>; Seber (1965) <doi:10.2307/2333827>) and Huggin's (1989) <doi:10.2307/2336377> closed population. Link functions include logit, sine, and hazard. Model selection, model averaging, plot, and simulation routines included. Open population size by the Horvitz-Thompson (1959) <doi:10.2307/2280784> estimator.
License: GNU General Public License
BugReports: https://github.com/tmcd82070/MRA/issues
Suggests: knitr
VignetteBuilder: knitr
Imports: stats, graphics
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-10-05 18:48:45 UTC; tmcdonald
Repository: CRAN
Date/Publication: 2017-10-05 20:51:16

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Package FactoMineR updated to version 1.38 with previous version 1.36 dated 2017-06-14

Title: Multivariate Exploratory Data Analysis and Data Mining
Description: Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis.
Author: Francois Husson, Julie Josse, Sebastien Le, Jeremy Mazet
Maintainer: Francois Husson <francois.husson@agrocampus-ouest.fr>

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Package editData updated to version 0.1.2 with previous version 0.1.1 dated 2017-10-03

Title: 'RStudio' Addin for Editing a 'data.frame'
Description: An 'RStudio' addin for editing a 'data.frame' or a 'tibble'. You can delete, add or update a 'data.frame' without coding. You can get resultant data as a 'data.frame'. In the package, modularized 'shiny' app codes are provided. These modules are intended for reuse across applications.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package chron updated to version 2.3-51 with previous version 2.3-50 dated 2017-02-20

Title: Chronological Objects which can Handle Dates and Times
Description: Provides chronological objects which can handle dates and times.
Author: David James [aut] (S original), Kurt Hornik [aut, trl, cre], Gabor Grothendieck [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package SHLR (with last version 1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-04-04 1.0

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Package RPEnsemble updated to version 0.4 with previous version 0.3 dated 2016-09-01

Title: Random Projection Ensemble Classification
Description: Implements the methodology of "Cannings, T. I. and Samworth, R. J. (2017) Random-projection ensemble classification, J. Roy. Stat. Soc., Ser. B. (with discussion), 79, 959--1035". The random projection ensemble classifier is a general method for classification of high-dimensional data, based on careful combination of the results of applying an arbitrary base classifier to random projections of the feature vectors into a lower-dimensional space. The random projections are divided into non-overlapping blocks, and within each block the projection yielding the smallest estimate of the test error is selected. The random projection ensemble classifier then aggregates the results of applying the base classifier on the selected projections, with a data-driven voting threshold to determine the final assignment.
Author: Timothy I. Cannings and Richard J. Samworth
Maintainer: Timothy I. Cannings <cannings@marshall.usc.edu>

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Package pmhtutorial updated to version 1.2 with previous version 1.0.0 dated 2016-01-19

Title: Minimal Working Examples for Particle Metropolis-Hastings
Description: Routines for state estimate in a linear Gaussian state space model and a simple stochastic volatility model using particle filtering. Parameter inference is also carried out in these models using the particle Metropolis-Hastings algorithm that includes the particle filter to provided an unbiased estimator of the likelihood. This package is a collection of minimal working examples of these algorithms and is only meant for educational use and as a start for learning to them on your own.
Author: Johan Dahlin
Maintainer: Johan Dahlin <uni@johandahlin.com>

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Package MXM updated to version 1.1.1 with previous version 1.1 dated 2017-10-06

Title: Discovering Multiple, Statistically-Equivalent Signatures
Description: Feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin.
Author: Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut], Vincenzo Lagani [aut], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]
Maintainer: Michail Tsagris <mtsagris@csd.uoc.gr>

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Package lingtypology updated to version 1.0.8 with previous version 1.0.7 dated 2017-09-15

Title: Linguistic Typology and Mapping
Description: Provides R with the Glottolog database <http://glottolog.org> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <http://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://ropensci.github.io/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and others.
Author: George Moroz
Maintainer: George Moroz <agricolamz@gmail.com>

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Package huxtable updated to version 1.0.0 with previous version 0.3.1 dated 2017-09-12

Title: Simply Create LaTeX and HTML Tables
Description: Creates HTML and LaTeX tables. Provides similar functionality to 'xtable', but does more, with a simpler interface.
Author: David Hugh-Jones
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package GROAN updated to version 1.1.0 with previous version 1.0.0 dated 2017-07-12

Title: Genomic Regression Workbench
Description: Workbench for testing genomic regression accuracy on (optionally noisy) phenotypes.
Author: Nelson Nazzicari & Filippo Biscarini
Maintainer: Nelson Nazzicari <nelson.nazzicari@crea.gov.it>

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Package D3partitionR updated to version 0.5.0 with previous version 0.3.1 dated 2016-12-16

Title: Interactive Charts of Nested and Hierarchical Data with 'D3.js'
Description: Builds interactive 'd3.js' hierarchical visualisation easily. D3partitionR makes it easy to build and customize sunburst, circle treemap, treemap, partition chart, ...
Author: Antoine Guillot [aut, cre], Mike Bostock [aut, cph] (d3.js library, http://d3js.org, nested treemap, icicle, zoomable circle treemap and sunb), Susie Lu [aut, cph] (d3-legend, http://d3-legend.susielu.com/), Kerry Rodden [aut, cph] (Breadcrumb Code for fixed sized breadcrumb.), Nadieh Bremer [aut, cph] (Placement of labels on arcs, https://www.visualcinnamon.com/2015/09/placing-text-on-arcs.html), Hub Spot [aut, cph] (tether.js)
Maintainer: Antoine Guillot <antoine.guil@outlook.fr>

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More information about D3partitionR at CRAN
Permanent link

Package Compositional updated to version 2.6 with previous version 2.5 dated 2017-07-26

Title: Compositional Data Analysis
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included.
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut]
Maintainer: Michail Tsagris <mtsagris@yahoo.gr>

Diff between Compositional versions 2.5 dated 2017-07-26 and 2.6 dated 2017-10-07

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More information about Compositional at CRAN
Permanent link

Package ctv updated to version 0.8-3 with previous version 0.8-2 dated 2016-09-15

Title: CRAN Task Views
Description: Infrastructure for task views to CRAN-style repositories: Querying task views and installing the associated packages (client-side tools), generating HTML pages and storing task view information in the repository (server-side tools).
Author: Achim Zeileis [aut, cre] (0000-0003-0918-3766), Kurt Hornik [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between ctv versions 0.8-2 dated 2016-09-15 and 0.8-3 dated 2017-10-07

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More information about ctv at CRAN
Permanent link

Package SnakeCharmR updated to version 1.0.7 with previous version 1.0.6 dated 2017-03-31

Title: R and Python Integration
Description: Run 'Python' code, make function calls, assign and retrieve variables, etc. from R. A fork from 'rPython' which uses 'jsonlite', 'Rcpp' and has several fixes and improvements.
Author: Alexandre Sieira, forked off of rPython by Carlos J. Gil Bellosta
Maintainer: Alexandre Sieira <alexandre.sieira@gmail.com>

Diff between SnakeCharmR versions 1.0.6 dated 2017-03-31 and 1.0.7 dated 2017-10-07

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 MD5                 |   30 ++++++++++++------------
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More information about SnakeCharmR at CRAN
Permanent link


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