Wed, 12 Oct 2016

Package tlnise updated to version 2.0-2 with previous version 2.0 dated 2013-05-24

Title: Two-Level Normal Independent Sampling Estimation
Description: Functions for two level normal models as described in Everson and Morris (2000). J. R. Statist. Soc. B, 62 prt 2, pp.399--412.
Author: S-PLUS original by Phil Everson; R port by Roger D. Peng <rpeng@jhsph.edu>
Maintainer: Roger D. Peng <rpeng@jhsph.edu>

Diff between tlnise versions 2.0 dated 2013-05-24 and 2.0-2 dated 2016-10-12

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Permanent link

New package sofa with initial version 0.2.0
Package: sofa
Title: Connector to 'CouchDB'
Description: Provides an interface to the 'NoSQL' database 'CouchDB' (<http://couchdb.apache.org>). Methods are provided for managing databases within 'CouchDB', including creating/deleting/updating/transferring, and managing documents within databases. One can connect with a local 'CouchDB' instance, or a remote 'CouchDB' databases such as 'Cloudant' (<https://cloudant.com>). Documents can be inserted directly from vectors, lists, data.frames, and 'JSON'. Targeted at 'CouchDB' v2 or greater.
Version: 0.2.0
Authors@R: person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com")
License: MIT + file LICENSE
URL: https://github.com/ropensci/sofa
BugReports: https://github.com/ropensci/sofa/issues
Imports: httr (>= 1.2.0), jsonlite (>= 1.1), R6 (>= 2.2.0), mime
Suggests: roxygen2 (>= 5.0.1), testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-10-12 18:20:34 UTC; sacmac
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Repository: CRAN
Date/Publication: 2016-10-13 02:01:35

More information about sofa at CRAN
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Package XGR updated to version 1.0.4 with previous version 1.0.3 dated 2016-08-26

Title: Exploring Genomic Relations for Precision Interpretation Through Enrichment, Similarity, Network and Annotation Analysis
Description: The central goal of XGR is to provide a data interpretation system. It is designed to make a user-defined gene or SNP list (or genomic regions) more interpretable by comprehensively utilising ontology annotations and interaction networks to reveal relationships and enhance opportunities for biological discovery. XGR is unique in supporting a broad range of ontologies (including knowledge of biological and molecular functions, pathways, diseases and phenotypes - in both human and mouse) and different types of networks (including functional, physical and pathway interactions). There are two core functionalities of XGR. The first is to provide basic infrastructures for easy access to built-in ontologies and networks. The second is to support data interpretations via 1) enrichment analysis using either built-in or custom ontologies, 2) similarity analysis for calculating semantic similarity between genes (or SNPs) based on their ontology annotation profiles, 3) network analysis for identification of gene networks given a query list of (significant) genes or SNPs, and 4) annotation analysis for interpreting genomic regions using co-localised functional genomic annotations (such as open chromatin, epigenetic marks and TF binding sites) and using nearby gene annotations (by ontologies). Together with its web app, XGR aims to provide a user-friendly tool for exploring genomic relations at the gene, SNP and genomic region level.
Author: Hai Fang, Bogdan Knezevic, Katie L Burnham, Julian C Knight
Maintainer: Hai Fang <hfang@well.ox.ac.uk>

Diff between XGR versions 1.0.3 dated 2016-08-26 and 1.0.4 dated 2016-10-12

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Package umx updated to version 1.4.0 with previous version 1.3.0 dated 2016-08-18

Title: Structural Equation Modelling in R with 'OpenMx'
Description: Create, run, and report structural equation and twin models quickly. If you're just starting out, try typing '?umx'.
Author: Timothy C Bates [aut, cre]
Maintainer: Timothy C Bates <timothy.c.bates@gmail.com>

Diff between umx versions 1.3.0 dated 2016-08-18 and 1.4.0 dated 2016-10-12

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Package synbreed updated to version 0.11-41 with previous version 0.11-29 dated 2016-01-18

Title: Framework for the Analysis of Genomic Prediction Data using R
Description: A collection of functions required for genomic prediction which were developed within the Synbreed project for synergistic plant and animal breeding (<http://www.synbreed.tum.de>). This covers data processing, data visualization, and analysis. All functions are embedded within the framework of a single, unified data object. The implementation is flexible with respect to a wide range of data formats in plant and animal breeding. This research was funded by the German Federal Ministry of Education and Research (BMBF) within the AgroClustEr Synbreed - Synergistic plant and animal breeding (FKZ 0315528A).
Author: Valentin Wimmer, Hans-Juergen Auinger, Theresa Albrecht, Chris-Carolin Schoen with contributions by Larry Schaeffer, Malena Erbe, Ulrike Ober, Christian Reimer, Yvonne Badke and Peter VandeHaar
Maintainer: Hans-Juergen Auinger <auinger@tum.de>

Diff between synbreed versions 0.11-29 dated 2016-01-18 and 0.11-41 dated 2016-10-12

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Package spatstat updated to version 1.47-0 with previous version 1.46-1 dated 2016-07-08

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Diggle-Cressie-Loosmore-Ford, Dao-Genton) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Author: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>, Rolf Turner <r.turner@auckland.ac.nz> and Ege Rubak <rubak@math.aau.dk>, with substantial contributions of code by Kasper Klitgaard Berthelsen; Ottmar Cronie; Ute Hahn; Abdollah Jalilian; Marie-Colette van Lieshout; Tuomas Rajala; Dominic Schuhmacher; and Rasmus Waagepetersen. Additional contributions by M. Adepeju; C. Anderson; Q.W. Ang; M. Austenfeld; S. Azaele; M. Baddeley; C. Beale; M. Bell; R. Bernhardt; T. Bendtsen; A. Bevan; B. Biggerstaff; A. Bilgrau; L. Bischof; C. Biscio; R. Bivand; J.M. Blanco Moreno; F. Bonneu; J. Burgos; S. Byers; Y.M. Chang; J.B. Chen; I. Chernayavsky; Y.C. Chin; B. Christensen; J.-F. Coeurjolly; R. Corria Ainslie; M. de la Cruz; P. Dalgaard; M. D'Antuono; S. Das; T. Davies; P.J. Diggle; P. Donnelly; I. Dryden; S. Eglen; A. El-Gabbas; B. Fandohan; O. Flores; E.D. Ford; P. Forbes; S. Frank; J. Franklin; N. Funwi-Gabga; O. Garcia; A. Gault; J. Geldmann; M. Genton; S. Ghalandarayeshi; J. Gilbey; J. Goldstick; P. Grabarnik; C. Graf; U. Hahn; A. Hardegen; M.B. Hansen; M. Hazelton; J. Heikkinen; M. Hering; M. Herrmann; P. Hewson; K. Hingee; K. Hornik; P. Hunziker; J. Hywood; R. Ihaka; C. Icos; A. Jammalamadaka; R. John-Chandran; D. Johnson; M. Khanmohammadi; R. Klaver; P. Kovesi; M. Kuhn; J. Laake; F. Lavancier; T. Lawrence; R.A. Lamb; J. Lee; G.P. Leser; H.T. Li; G. Limitsios; A. Lister; B. Madin; M. Maechler; J. Marcus; K. Marchikanti; R. Mark; J. Mateu; P. McCullagh; U. Mehlig; F. Mestre; S. Meyer; X.C. Mi; L. De Middeleer; R.K. Milne; E. Miranda; J. Moller; M. Moradi; V. Morera Pujol; E. Mudrak; G.M. Nair; N. Nava; L.S. Nielsen; F. Nunes; J.R. Nyengaard; J. Oehlschlaegel; T. Onkelinx; S. O'Riordan; E. Parilov; J. Picka; N. Picard; M. Porter; S. Protsiv; A. Raftery; S. Rakshit; B. Ramage; P. Ramon; X. Raynaud, M. Reiter; I. Renner; T.O. Richardson; B.D. Ripley; E. Rosenbaum; B. Rowlingson; J. Rudokas; J. Rudge; C. Ryan; F. Safavimanesh; A. Sarkka; C. Schank; K. Schladitz; S. Schutte; B.T. Scott; O. Semboli; F. Semecurbe; V. Shcherbakov; G.C. Shen; P. Shi; H.-J. Ship; I.-M. Sintorn; Y. Song; M. Spiess; M. Stevenson; K. Stucki; M. Sumner; P. Surovy; B. Taylor; T. Thorarinsdottir; B. Turlach; T. Tvedebrink; K. Ummer; M. Uppala; A. van Burgel; T. Verbeke; M. Vihtakari; A. Villers; F. Vinatier; S. Voss; S. Wagner; H. Wang; H. Wendrock; J. Wild; C. Witthoft; S. Wong; M. Woringer; M.E. Zamboni and A. Zeileis.
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat versions 1.46-1 dated 2016-07-08 and 1.47-0 dated 2016-10-12

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More information about spatstat at CRAN
Permanent link

Package SpatialVx updated to version 0.5 with previous version 0.4 dated 2016-02-22

Title: Spatial Forecast Verification
Description: Spatial forecast verification arose from verifying high-resolution forecasts, where coarser-resolution models generally are favored even when a human forecaster finds the higher-resolution model to be considerably better. Most newly proposed methods, which largely come from image analysis, computer vision, and similar, are available, with more on the way.
Author: Eric Gilleland <EricG@ucar.edu>
Maintainer: Eric Gilleland <EricG@ucar.edu>

Diff between SpatialVx versions 0.4 dated 2016-02-22 and 0.5 dated 2016-10-12

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More information about SpatialVx at CRAN
Permanent link

Package spaero updated to version 0.2.0 with previous version 0.1.1 dated 2016-05-22

Title: Software for Project AERO
Description: Implements methods for anticipating the emergence and eradication of infectious diseases from surveillance time series. Also provides support for computational experiments testing the performance of such methods.
Author: Eamon O'Dea [aut, cre]
Maintainer: Eamon O'Dea <odea35@gmail.com>

Diff between spaero versions 0.1.1 dated 2016-05-22 and 0.2.0 dated 2016-10-12

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More information about spaero at CRAN
Permanent link

Package seewave updated to version 2.0.5 with previous version 2.0.4 dated 2016-07-11

Title: Sound Analysis and Synthesis
Description: Functions for analysing, manipulating, displaying, editing and synthesizing time waves (particularly sound). This package processes time analysis (oscillograms and envelopes), spectral content, resonance quality factor, entropy, cross correlation and autocorrelation, zero-crossing, dominant frequency, analytic signal, frequency coherence, 2D and 3D spectrograms and many other analyses.
Author: Jerome Sueur <sueur@mnhn.fr> [cre, au], Thierry Aubin [au], Caroline Simonis [au], Laurent Lellouch [main ctrb], Ethan C. Brown [ctrb], Marion Depraetere [ctrb], Camille Desjonqueres [ctrb], Francois Fabianek [ctrb], Amandine Gasc [ctrb], Stefanie LaZerte [ctrb], Jonathan Lees [ctrb], Jean Marchal [ctrb], Sandrine Pavoine [ctrb], Alicia Stotz [ctrb], Luis J. Villanueva-Rivera [ctrb], Zev Ross [ctrb], Carl G. Witthoft [ctrb], Hristo Zhivomirov [ctrb].
Maintainer: Jerome Sueur <sueur@mnhn.fr>

Diff between seewave versions 2.0.4 dated 2016-07-11 and 2.0.5 dated 2016-10-12

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More information about seewave at CRAN
Permanent link

Package ritis updated to version 0.5.4 with previous version 0.5.0 dated 2016-06-22

Title: Integrated Taxonomic Information System Client
Description: An interface to the Integrated Taxonomic Information System ('ITIS') (<https://www.itis.gov>). Includes functions to work with the 'ITIS' REST 'API' methods (<https://www.itis.gov/ws_description.html>), as well as the 'Solr' web service (<https://www.itis.gov/solr_documentation.html>).
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package RcmdrPlugin.NMBU updated to version 1.8.7 with previous version 1.8.6 dated 2016-08-27

Title: R Commander Plug-in for University Level Applied Statistics
Description: An R Commander "plug-in" extending functionality of linear models and providing an interface to Partial Least Squares Regression and Linear and Quadratic Discriminant analysis. Several statistical summaries are extended, predictions are offered for additional types of analyses, and extra plots, tests and mixed models are available.
Author: Kristian Hovde Liland [aut, cre], Solve Sæbø [aut]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package ragt2ridges updated to version 0.2.3 with previous version 0.2.2 dated 2016-09-24

Title: Ridge Estimation of Vector Auto-Regressive (VAR) Processes
Description: Ridge maximum likelihood estimation of vector auto-regressive processes and supporting functions for their exploitation.
Author: Wessel N. van Wieringen <w.vanwieringen@vumc.nl>
Maintainer: Wessel N. van Wieringen <w.vanwieringen@vumc.nl>

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Package plsVarSel updated to version 0.9.1 with previous version 0.9 dated 2016-07-27

Title: Variable Selection in Partial Least Squares
Description: Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
Author: Kristian Hovde Liland, Tahir Mehmood, Solve Sæbø
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package pbdBASE updated to version 0.4-5 with previous version 0.4-3 dated 2016-01-24

Title: Programming with Big Data -- Base Wrappers for Distributed Matrices
Description: An interface to and extensions for the 'PBLAS' and 'ScaLAPACK' numerical libraries. This enables R to utilize distributed linear algebra for codes written in the 'SPMD' fashion. This interface is deliberately low-level and mimics the style of the native libraries it wraps. For a much higher level way of managing distributed matrices, see the 'pbdDMAT' package.
Author: Drew Schmidt [aut, cre], Wei-Chen Chen [aut], George Ostrouchov [aut], Pragneshkumar Patel [aut], Ewan Higgs [ctb]
Maintainer: Drew Schmidt <schmidt@math.utk.edu>

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Package multiplex updated to version 2.2 with previous version 2.1 dated 2016-09-14

Title: Algebraic Tools for the Analysis of Multiple Social Networks
Description: Algebraic procedures for the analysis of multiple social networks are delivered with this package. Among other things, it makes possible to create and manipulate multivariate network data with different formats, and there are effective ways available to treat multiple networks with routines that combine algebraic systems like the partially ordered semigroup or the semiring structure together with the relational bundles occurring in different types of multivariate network data sets. It also provides an algebraic approach for two-mode networks through Galois derivations between families of the pairs of subsets in the two domains.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

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Package MetaAnalyser updated to version 0.2.1 with previous version 0.2 dated 2016-08-10

Title: An Interactive Visualisation of Meta-Analysis as a Physical Weighing Machine
Description: An interactive application to visualise meta-analysis data as a physical weighing machine. The interface is based on the Shiny web application framework, though can be run locally and with the user's own data.
Author: Jack Bowden <j.bowden@bristol.ac.uk> (conception), Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk> (programming)
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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Package mc2d updated to version 0.1-17 with previous version 0.1-16 dated 2016-02-15

Title: Tools for Two-Dimensional Monte-Carlo Simulations
Description: A complete framework to build and study Two-Dimensional Monte-Carlo simulations, aka Second-Order Monte-Carlo simulations. Also includes various distributions (pert, triangular, Bernoulli, empirical discrete and continuous).
Author: Regis Pouillot [aut, cre], Marie-Laure Delignette-Muller [ctb], Jean-Baptiste Denis [ctb]
Maintainer: Regis Pouillot <rpouillot@yahoo.fr>

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Package MatrixCorrelation updated to version 0.9 with previous version 0.8.1 dated 2016-04-25

Title: Matrix Correlation Coefficients
Description: Computation and visualization of matrix correlation coefficients. The main method is the Similarity of Matrices Index, while various related measures like r1, r2, r3, r4, Yanai's GCD, RV, RV2 and adjusted RV are included for comparison.
Author: Kristian Hovde Liland [aut, cre], Tormod Næs [ctb], Ulf Geir Indahl [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nofima.no>

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Package KODAMA updated to version 1.0 with previous version 0.0.1 dated 2014-11-25

Title: Knowledge Discovery by Accuracy Maximization
Description: An unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data.
Author: Stefano Cacciatore, Leonardo Tenori, Claudio Luchinat, Phillip R. Bennett, and David A. MacIntyre
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>

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Package infuser updated to version 0.2.5 with previous version 0.2.4 dated 2016-08-30

Title: A Very Basic Templating Engine
Description: Replace parameters in strings and/or text files with specified values.
Author: Bart Smeets
Maintainer: Bart Smeets <bartsmeets86@gmail.com>

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Package GenomicTools updated to version 0.2.2 with previous version 0.2.1 dated 2016-10-07

Title: Collection of Tools for Genomic Data Analysis
Description: A loose collection of tools for the analysis of expression and genotype data, currently with the main focus on (e)QTL and MDR analysis.
Author: Daniel Fischer
Maintainer: Daniel Fischer <daniel.fischer@luke.fi>

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Package forecast updated to version 7.3 with previous version 7.2 dated 2016-09-09

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package ENiRG updated to version 1.0.1 with previous version 1.0 dated 2016-05-05

Title: Ecological Niche in R and GRASS
Description: A set of tools for the analysis of ecological niche of species and calculation of habitat suitability maps.
Author: Fernando Canovas, Chiara Magliozzi, Jose Antonio Palazon-Ferrando, Frederico Mestre, Mercedes Gonzalez-Wanguemert
Maintainer: Fernando Garcia Canovas <fcgarcia@ualg.pt>

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Package DMwR2 updated to version 0.0.2 with previous version 0.0.1 dated 2016-09-09

Title: Functions and Data for the Second Edition of "Data Mining with R"
Description: Functions and data accompanying the second edition of the book "Data Mining with R, learning with case studies" by Luis Torgo, published by CRC Press.
Author: Luis Torgo [aut, cre]
Maintainer: Luis Torgo <ltorgo@dcc.fc.up.pt>

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Package daewr updated to version 1.1-7 with previous version 1.1-6 dated 2015-07-22

Title: Design and Analysis of Experiments with R
Description: Contains Data frames and functions used in the book "Design and Analysis of Experiments with R".
Author: John Lawson
Maintainer: John Lawson <lawson@byu.edu>

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Package cmsaf updated to version 1.7.0 with previous version 1.6.1 dated 2016-01-28

Title: Tools for CM SAF Netcdf Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable observing of the climate system by providing Essential Climate Variables related to the energy and water cycle of the atmosphere (www.cmsaf.eu). It is a joint cooperation of seven National Meteorological and Hydrological Services, including the Deutscher Wetterdienst (DWD). The cmsaf R-package provides a small collection of R-functions, which are inspired by the Climate Data Operators (cdo). This gives the opportunity to analyse and manipulate CM SAF data without the need of installing cdo. The cmsaf R-package is tested for CM SAF netcdf data, which are structured in three-dimensional arrays (longitude, latitude, time) on a rectangular grid. Layered CM SAF data have to be converted with the provided `levbox_mergetime` function. The cmsaf R-package functions have only minor checks for deviations from the recommended data structure, and give only few specific error messages. Thus, there is no warranty of accurate results. Scripts for an easy application of the functions are provided at the CM SAF homepage (http://www.cmsaf.eu/EN/Products/Tools/Tools_node.html).
Author: Steffen Kothe <Steffen.Kothe@dwd.de>
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package binseqtest updated to version 1.0.2 with previous version 1.0.1 dated 2015-07-02

Title: Exact Binary Sequential Designs and Analysis
Description: For a series of binary responses, create stopping boundary with exact results after stopping, allowing updating for missing assessments.
Author: Jenn Kirk, Michael P. Fay
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

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Package mpr updated to version 1.0.4 with previous version 1.0.3 dated 2016-09-21

Title: Multi-Parameter Regression (MPR)
Description: Package for fitting Multi-Parameter Regression (MPR) models to right-censored survival data. These are flexible parametric regression models which extend standard models, for example, proportional hazards.
Author: Kevin Burke
Maintainer: Kevin Burke <kevin.burke@ul.ie>

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Package BoSSA updated to version 2.0 with previous version 1.2 dated 2010-01-26

Title: a Bunch of Structure and Sequence Analysis
Description: Reads and plots placements obtained using pplacer/guppy (see http://matsen.fhcrc.org/pplacer/ for details). Read PDB file (protein 3D structure file).
Author: pierre lefeuvre
Maintainer: pierre lefeuvre <pierre.lefeuvre@cirad.fr>

Diff between BoSSA versions 1.2 dated 2010-01-26 and 2.0 dated 2016-10-12

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Package SIS updated to version 0.8-3 with previous version 0.8-1 dated 2016-08-13

Title: Sure Independence Screening
Description: Variable selection techniques are essential tools for model selection and estimation in high-dimensional statistical models. Through this publicly available package, we provide a unified environment to carry out variable selection using iterative sure independence screening (SIS) and all of its variants in generalized linear models and the Cox proportional hazards model.
Author: Jianqing Fan, Yang Feng, Diego Franco Saldana, Richard Samworth, Yichao Wu
Maintainer: Yang Feng <yang.feng@columbia.edu>

Diff between SIS versions 0.8-1 dated 2016-08-13 and 0.8-3 dated 2016-10-12

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Package shinythemes updated to version 1.1.1 with previous version 1.1 dated 2016-09-19

Title: Themes for Shiny
Description: Themes for use with Shiny. Includes several Bootstrap themes from <http://bootswatch.com/>, which are packaged for use with Shiny applications.
Author: Winston Chang [aut, cre], RStudio [cph], Thomas Park [ctb, cph] (Bootswatch themes), Lukasz Dziedzic [ctb, cph] (Lato font), Nathan Willis [ctb, cph] (News Cycle font), Google Corporation [ctb, cph] (Open Sans and Roboto fonts), Matt McInerney [ctb, cph] (Raleway font), Adobe Systems Incorporated [ctb, cph] (Source Sans Pro font), Canonical Ltd [ctb, cph] (Ubuntu font)
Maintainer: Winston Chang <winston@rstudio.com>

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Package red updated to version 0.1.2 with previous version 0.1.1 dated 2016-09-28

Title: IUCN Redlisting Tools
Description: Includes algorithms to facilitate the assessment of extinction risk of species according to the IUCN (International Union for Conservation of Nature, see <http://www.iucn.org> for more information) red list criteria.
Author: Pedro Cardoso
Maintainer: Pedro Cardoso <pedro.cardoso@helsinki.fi>

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Package FedData updated to version 2.3.1 with previous version 2.3.0 dated 2016-10-03

Title: Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources
Description: Functions to automate downloading geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package allows for retrieval of five datasets: The National Elevation Dataset digital elevation models (1 and 1/3 arc-second; USGS); The National Hydrography Dataset (USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (GHCN), coordinated by National Climatic Data Center at NOAA; the Daymet gridded estimates of daily weather parameters for North America, version 3, available from the Oak Ridge National Laboratory's Distributed Active Archive Center (DAAC); and the International Tree Ring Data Bank. Additional data sources are in the works, global soils (HWSD), MODIS satellite data products, the National Atlas (US), Natural Earth, and WorldClim.
Author: R. Kyle Bocinsky [aut, cre], Dylan Beaudette [ctb], Scott Chamberlain [ctb]
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>

Diff between FedData versions 2.3.0 dated 2016-10-03 and 2.3.1 dated 2016-10-12

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Package seqmon updated to version 2.1 with previous version 0.2 dated 2007-10-22

Title: Group Sequential Design Class for Clinical Trials
Description: S4 class object for creating and managing group sequential designs. It calculates the efficacy and futility boundaries at each look. It allows modifying the design and tracking the design update history.
Author: David A Schoenfeld, PhD and Hui Zheng, PhD
Maintainer: "Hui Zheng, PhD" <hzheng1@mgh.harvard.edu>

Diff between seqmon versions 0.2 dated 2007-10-22 and 2.1 dated 2016-10-12

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