Thu, 19 Apr 2018

Package readxl updated to version 1.1.0 with previous version 1.0.0 dated 2017-04-18

Title: Read Excel Files
Description: Import excel files into R. Supports '.xls' via the embedded 'libxls' C library <https://github.com/evanmiller/libxls> and '.xlsx' via the embedded 'RapidXML' C++ library <https://rapidxml.sourceforge.net>. Works on Windows, Mac and Linux without external dependencies.
Author: Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), RStudio [cph, fnd] (Copyright holder of all R code and all C/C++ code without explicit copyright attribution), Marcin Kalicinski [ctb, cph] (Author of included RapidXML code), Komarov Valery [ctb, cph] (Author of included libxls code), Christophe Leitienne [ctb, cph] (Author of included libxls code), Bob Colbert [ctb, cph] (Author of included libxls code), David Hoerl [ctb, cph] (Author of included libxls code), Evan Miller [ctb, cph] (Author of included libxls code)
Maintainer: Jennifer Bryan <jenny@rstudio.com>

Diff between readxl versions 1.0.0 dated 2017-04-18 and 1.1.0 dated 2018-04-19

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 readxl-1.1.0/readxl/src/ColSpec.h                                                    |    3 
 readxl-1.1.0/readxl/src/Makevars                                                     |    2 
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 readxl-1.1.0/readxl/src/cran.h                                                       |   10 
 readxl-1.1.0/readxl/src/endian.c                                                     |   26 
 readxl-1.1.0/readxl/src/libxls/ole.h                                                 |   26 
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 readxl-1.1.0/readxl/src/utils.h                                                      |   24 
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 readxl-1.1.0/readxl/src/zip.cpp                                                      |    1 
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More information about readxl at CRAN
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Package pbatR updated to version 2.2-13 with previous version 2.2-9 dated 2013-03-30

Title: Pedigree/Family-Based Genetic Association Tests Analysis and Power
Description: This R package provides power calculations via internal simulation methods. The package also provides a frontend to the now abandoned PBAT program (developed by Christoph Lange), and reads in the corresponding output and displays results and figures when appropriate. The license of this R package itself is GPL. However, to have the program interact with the PBAT program for some functionality of the R package, users must additionally obtain the PBAT program from Christoph Lange, and accept his license. Both the data analysis and power calculations have command line and graphical interfaces using tcltk.
Author: Thomas Hoffmann <tjhoffm@gmail.com>, with contributions from Christoph Lange <clange@hsph.harvard.edu>
Maintainer: Thomas Hoffmann <tjhoffm@gmail.com>

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Package NetOrigin updated to version 1.0-3 with previous version 1.0-2 dated 2016-07-07

Title: Origin Estimation for Propagation Processes on Complex Networks
Description: Performs network-based source estimation. Different approaches are available: effective distance median, recursive backtracking, and centrality-based source estimation. Additionally, we provide public transportation network data as well as methods for data preparation, source estimation performance analysis and visualization.
Author: Juliane Manitz [aut, cre], Jonas Harbering [ctb]
Maintainer: Juliane Manitz <r@manitz.org>

Diff between NetOrigin versions 1.0-2 dated 2016-07-07 and 1.0-3 dated 2018-04-19

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Package mbir updated to version 1.2 with previous version 1.1 dated 2017-08-29

Title: Magnitude-Based Inferences
Description: Allows practitioners and researchers a wholesale approach for deriving magnitude-based inferences from raw data. A major goal of 'mbir' is to programmatically detect appropriate statistical tests to run in lieu of relying on practitioners to determine correct stepwise procedures independently.
Author: Kyle Peterson [aut, cre], Aaron Caldwell [aut]
Maintainer: Kyle Peterson <petersonkdon@gmail.com>

Diff between mbir versions 1.1 dated 2017-08-29 and 1.2 dated 2018-04-19

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Package clustree updated to version 0.1.2 with previous version 0.1.1 dated 2018-03-27

Title: Visualise Clusterings at Different Resolutions
Description: Deciding what resolution to use can be a difficult question when approaching a clustering analysis. One way to approach this problem is to look at how samples move as the number of clusters increases. This package allows you to produce clustering trees, a visualisation for interrogating clusterings as resolution increases.
Author: Luke Zappia [aut, cre] (<https://orcid.org/0000-0001-7744-8565>), Alicia Oshlack [aut] (<https://orcid.org/0000-0001-9788-5690>), Andrea Rau [ctb]
Maintainer: Luke Zappia <luke.zappia@mcri.edu.au>

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Package CGPfunctions updated to version 0.3 with previous version 0.1 dated 2018-03-19

Title: Powell Miscellaneous Functions for Teaching and Learning Statistics
Description: Miscellaneous functions useful for teaching statistics as well as actually practicing the art. They typically are not “new” methods but rather wrappers around either base R or other packages. Currently contains: 'Plot2WayANOVA' which as the name implies conducts a 2 way ANOVA and plots the results using 'ggplot2'. 'neweta' which is a helper function that appends the results of a Type II eta squared calculation onto a classic ANOVA table. Mode which finds the modal value in a vector of data. 'SeeDist' which wraps around 'ggplot2' to provide visualizations of univariate data.
Author: Chuck Powell [aut, cre]
Maintainer: Chuck Powell <ibecav@gmail.com>

Diff between CGPfunctions versions 0.1 dated 2018-03-19 and 0.3 dated 2018-04-19

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Package utiml updated to version 0.1.4 with previous version 0.1.3 dated 2017-07-31

Title: Utilities for Multi-Label Learning
Description: Multi-label learning strategies and others procedures to support multi- label classification in R. The package provides a set of multi-label procedures such as sampling methods, transformation strategies, threshold functions, pre-processing techniques and evaluation metrics. A complete overview of the matter can be seen in Zhang, M. and Zhou, Z. (2014) <doi:10.1109/TKDE.2013.39> and Gibaja, E. and Ventura, S. (2015) <doi:10.1145/2716262>.
Author: Adriano Rivolli [aut, cre]
Maintainer: Adriano Rivolli <rivolli@utfpr.edu.br>

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Package Luminescence updated to version 0.8.3 with previous version 0.8.2 dated 2018-03-10

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] (<https://orcid.org/0000-0002-0734-2199>), Christoph Burow [aut, trl, dtc] (<https://orcid.org/0000-0002-5023-4046>), Michael Dietze [aut] (<https://orcid.org/0000-0001-6063-1726>), Margret C. Fuchs [aut], Christoph Schmidt [aut] (<https://orcid.org/0000-0002-2309-3209>), Manfred Fischer [aut, trl], Johannes Friedrich [aut], Norbert Mercier [ctb], Rachel K. Smedley [ctb] (<https://orcid.org/0000-0001-7773-5193>), Claire Christophe [ctb], Antoine Zink [ctb], Julie Durcan [ctb] (<https://orcid.org/0000-0001-8724-8022>), Georgina E. King [ctb, dtc] (<https://orcid.org/0000-0003-1059-8192>), Anne Philippe [ctb], Guillaume Guerin [ctb] (<https://orcid.org/0000-0001-6298-5579>), Markus Fuchs [ths]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@u-bordeaux-montaigne.fr>

Diff between Luminescence versions 0.8.2 dated 2018-03-10 and 0.8.3 dated 2018-04-19

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More information about Luminescence at CRAN
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Package ijtiff updated to version 1.1.0 with previous version 1.0.0 dated 2018-03-16

Title: TIFF I/O for 'ImageJ' Users
Description: Correctly import TIFF files that were saved from 'ImageJ' and write TIFF files than can be correctly read by 'ImageJ' <https://imagej.nih.gov/ij/>. Full support for TIFF files with floating point (real-numbered) pixels. Also supports text image I/O.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>), Simon Urbanek [ctb], Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>), Jeroen Ooms [rev] (<https://orcid.org/0000-0002-4035-0289>), Jon Clayden [rev] (<https://orcid.org/0000-0002-6608-0619>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package flextable updated to version 0.4.4 with previous version 0.4.3 dated 2018-03-14

Title: Functions for Tabular Reporting
Description: Create pretty tables for 'Microsoft Word', 'Microsoft PowerPoint' and 'HTML' documents. Functions are provided to let users create tables, modify and format their content. It extends package 'officer' that does not contain any feature for customized tabular reporting and can be used with R Markdown documents. It also work within R markdown documents when rendering to HTML and to 'Microsoft Word' documents.
Author: David Gohel [aut, cre], Maxim Nazarov [ctb] (rmarkdown for docx output)
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package smerc updated to version 0.4.5 with previous version 0.4.3 dated 2018-04-08

Title: Statistical Methods for Regional Counts
Description: Implements statistical methods for analyzing the counts of areal data, with a focus on the detection of spatial clusters and clustering.
Author: Joshua French
Maintainer: Joshua French <joshua.french@ucdenver.edu>

Diff between smerc versions 0.4.3 dated 2018-04-08 and 0.4.5 dated 2018-04-19

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Package rENA updated to version 0.1.4 with previous version 0.1.3 dated 2018-01-26

Title: Epistemic Network Analysis
Description: ENA (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is a method used to identify meaningful and quantifiable patterns in discourse or reasoning. ENA moves beyond the traditional frequency-based assessments by examining the structure of the co-occurrence, or connections in coded data. Moreover, compared to other methodological approaches, ENA has the novelty of (1) modeling whole networks of connections and (2) affording both quantitative and qualitative comparisons between different network models. Shaffer, D.W., Collier, W., & Ruis, A.R. (2016) <doi:10.18608/jla.2016.33.3>.
Author: Cody L Marquart [aut, cre], Zachari Swiecki [aut], Wesley Collier [aut], Brendan Eagan [aut], Roman Woodward [aut], David Williamson Shaffer [aut]
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>

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Package mschart updated to version 0.2.3 with previous version 0.2.2 dated 2017-12-12

Title: Chart Generation for 'Microsoft Word' and 'Microsoft PowerPoint' Documents
Description: Create native charts for 'Microsoft PowerPoint' and 'Microsoft Word' documents. These can then be edited and annotated. Functions are provided to let users create charts, modify and format their content. The chart's underlying data is automatically saved within the 'Word' document or 'PowerPoint' presentation. It extends package 'officer' that does not contain any feature for 'Microsoft' native charts production.
Author: David Gohel [aut, cre], YouGov [fnd]
Maintainer: David Gohel <david.gohel@ardata.fr>

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More information about mschart at CRAN
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Package Matrix.utils updated to version 0.9.7 with previous version 0.9.6 dated 2017-08-28

Title: Data.frame-Like Operations on Sparse and Dense Matrix Objects
Description: Implements data manipulation methods such as cast, aggregate, and merge/join for Matrix and matrix-like objects.
Author: Craig Varrichio <canthony427@gmail.com>
Maintainer: Craig Varrichio <canthony427@gmail.com>

Diff between Matrix.utils versions 0.9.6 dated 2017-08-28 and 0.9.7 dated 2018-04-19

 DESCRIPTION      |    6 +++---
 MD5              |    4 ++--
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Package lidR updated to version 1.4.2 with previous version 1.4.1 dated 2018-01-31

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented lassnags)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between lidR versions 1.4.1 dated 2018-01-31 and 1.4.2 dated 2018-04-19

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Package tidytree updated to version 0.1.8 with previous version 0.1.7 dated 2018-02-27

Title: A Tidy Tool for Phylogenetic Tree Data Manipulation
Description: Phylogenetic tree generally contains multiple components including node, edge, branch and associated data. 'tidytree' provides an approach to convert tree object to tidy data frame as well as provides tidy interfaces to manipulate tree data.
Author: Guangchuang Yu [aut, cre, cph] (<https://orcid.org/0000-0002-6485-8781>), Bradley Jones [ctb], Zebulun Arendsee [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between tidytree versions 0.1.7 dated 2018-02-27 and 0.1.8 dated 2018-04-19

 DESCRIPTION            |    6 ++--
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Package spGARCH updated to version 0.1.4 with previous version 0.1.3 dated 2018-03-29

Title: Spatial ARCH and GARCH Models (spGARCH)
Description: A collection of functions to deal with spatial and spatiotemporal autoregressive conditional heteroscedasticity (spatial ARCH and GARCH models) by Otto, Schmid, Garthoff (2017) <arXiv:1609.00711>: simulation of spatial ARCH-type processes (spARCH, exponential spARCH, complex spARCH); quasi-maximum-likelihood estimation of the parameters of spARCH models and spatial autoregressive models with spARCH disturbances, diagnostic checks, visualizations.
Author: Philipp Otto [cre, aut] (<https://orcid.org/0000-0002-9796-6682>)
Maintainer: Philipp Otto <potto@europa-uni.de>

Diff between spGARCH versions 0.1.3 dated 2018-03-29 and 0.1.4 dated 2018-04-19

 DESCRIPTION    |    6 +++---
 MD5            |    4 ++--
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More information about spGARCH at CRAN
Permanent link

Package httpuv updated to version 1.4.0 with previous version 1.3.6.2 dated 2018-03-02

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng, Hector Corrada Bravo [ctb], Jeroen Ooms [ctb], Winston Chang [ctb]
Maintainer: Joe Cheng <joe@rstudio.com>

Diff between httpuv versions 1.3.6.2 dated 2018-03-02 and 1.4.0 dated 2018-04-19

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Package gss updated to version 2.1-8 with previous version 2.1-7 dated 2017-02-24

Title: General Smoothing Splines
Description: A comprehensive package for structural multivariate function estimation using smoothing splines.
Author: Chong Gu <chong@purdue.edu>
Maintainer: Chong Gu <chong@purdue.edu>

Diff between gss versions 2.1-7 dated 2017-02-24 and 2.1-8 dated 2018-04-19

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More information about gss at CRAN
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Package FHDI updated to version 1.2.3 with previous version 1.2.2 dated 2018-04-13

Title: Fractional Hot Deck and Fully Efficient Fractional Imputation
Description: Impute general multivariate missing data with the fractional hot deck imputation based on Jaekwang Kim (2011) <doi:10.1093/biomet/asq073>.
Author: Jongho Im [aut], Inho Cho [aut, cre], Jaekwang Kim [aut]
Maintainer: Inho Cho <icho@iastate.edu>

Diff between FHDI versions 1.2.2 dated 2018-04-13 and 1.2.3 dated 2018-04-19

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Package FarmSelect updated to version 1.0.2 with previous version 1.0.1 dated 2018-01-30

Title: Factor Adjusted Robust Model Selection
Description: Implements a consistent model selection strategy for high dimensional sparse regression when the covariate dependence can be reduced through factor models. By separating the latent factors from idiosyncratic components, the problem is transformed from model selection with highly correlated covariates to that with weakly correlated variables. It is appropriate for cases where we have many variables compared to the number of samples. Moreover, it implements a robust procedure to estimate distribution parameters wherever possible, hence being suitable for cases when the underlying distribution deviates from Gaussianity. See the paper on the 'FarmSelect' method, Fan et al.(2017) <arXiv:1612.08490>, for detailed description of methods and further references.
Author: Koushiki Bose [aut, cre], Yuan Ke [aut], Kaizheng Wang [aut]
Maintainer: Koushiki Bose <bose@princeton.edu>

Diff between FarmSelect versions 1.0.1 dated 2018-01-30 and 1.0.2 dated 2018-04-19

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Package profileR updated to version 0.3-5 with previous version 0.3-4 dated 2017-02-24

Title: Profile Analysis of Multivariate Data in R
Description: A suite of multivariate methods and data visualization tools to implement profile analysis and cross-validation techniques described in Davison & Davenport (2002) <DOI: 10.1037/1082-989X.7.4.468>, Bulut (2013), and other published and unpublished resources. The package includes routines to perform criterion-related profile analysis, profile analysis via multidimensional scaling, moderated profile analysis, profile analysis by group, and a within-person factor model to derive score profiles.
Author: Okan Bulut <okanbulut84@gmail.com>, Christopher David Desjardins <cddesjardins@gmail.com>
Maintainer: Christopher David Desjardins <cddesjardins@gmail.com>

Diff between profileR versions 0.3-4 dated 2017-02-24 and 0.3-5 dated 2018-04-19

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Package mvglmmRank updated to version 1.2-1 with previous version 1.1-2 dated 2015-11-13

Title: Multivariate Generalized Linear Mixed Models for Ranking Sports Teams
Description: Maximum likelihood estimates are obtained via an EM algorithm with either a first-order or a fully exponential Laplace approximation.
Author: Andrew T. Karl (Adsurgo LLC), Jennifer Broatch (Arizona State University)
Maintainer: Andrew T. Karl <akarl@asu.edu>

Diff between mvglmmRank versions 1.1-2 dated 2015-11-13 and 1.2-1 dated 2018-04-19

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More information about mvglmmRank at CRAN
Permanent link

Package multinet updated to version 1.1.4 with previous version 1.1.3 dated 2018-03-20

Title: Analysis and Mining of Multilayer Social Networks
Description: Functions for the creation/generation and analysis of multilayer social networks.
Author: Matteo Magnani, Mikael Dubik (lart and glouvain functions). The package uses functions from dlib, Eigen, Spectra and eclat libraries, whose code has been included in our source package.
Maintainer: Matteo Magnani <matteo.magnani@it.uu.se>

Diff between multinet versions 1.1.3 dated 2018-03-20 and 1.1.4 dated 2018-04-19

 DESCRIPTION                                     |    8 
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More information about multinet at CRAN
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Package lsbclust updated to version 1.0.5 with previous version 1.0.4 dated 2016-01-05

Title: Least-Squares Bilinear Clustering for Three-Way Data
Description: Functions for performing least-squares bilinear clustering of three-way data. The method uses the bilinear decomposition (or bi-additive model) to model two-way matrix slices while clustering over the third way. Up to four different types of clusters are included, one for each term of the bilinear decomposition. In this way, matrices are clustered simultaneously on (a subset of) their overall means, row margins, column margins and row-column interactions. The orthogonality of the bilinear model results in separability of the joint clustering problem into four separate ones. Three of these sub-problems are specific k-means problems, while a special algorithm is implemented for the interactions. Plotting methods are provided, including biplots for the low-rank approximations of the interactions.
Author: Pieter Schoonees [aut, cre], Patrick Groenen [ctb]
Maintainer: Pieter Schoonees <schoonees@gmail.com>

Diff between lsbclust versions 1.0.4 dated 2016-01-05 and 1.0.5 dated 2018-04-19

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Package experiment updated to version 1.1-3 with previous version 1.1-2 dated 2018-01-18

Title: R Package for Designing and Analyzing Randomized Experiments
Description: Provides various statistical methods for designing and analyzing randomized experiments. One main functionality of the package is the implementation of randomized-block and matched-pair designs based on possibly multivariate pre-treatment covariates. The package also provides the tools to analyze various randomized experiments including cluster randomized experiments, two-stage randomized experiments, randomized experiments with noncompliance, and randomized experiments with missing data.
Author: Kosuke Imai [aut, cre], Zhichao Jiang [aut]
Maintainer: Kosuke Imai <kimai@princeton.edu>

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Package ordinal updated to version 2018.4-19 with previous version 2015.6-28 dated 2015-06-28

Title: Regression Models for Ordinal Data
Description: Implementation of cumulative link (mixed) models also known as ordered regression models, proportional odds models, proportional hazards models for grouped survival times and ordered logit/probit/... models. Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation and adaptive Gauss-Hermite quadrature. Multiple random effect terms are allowed and they may be nested, crossed or partially nested/crossed. Restrictions of symmetry and equidistance can be imposed on the thresholds (cut-points/intercepts). Standard model methods are available (summary, anova, drop-methods, step, confint, predict etc.) in addition to profile methods and slice methods for visualizing the likelihood function and checking convergence.
Author: Rune Haubo Bojesen Christensen [aut, cre]
Maintainer: Rune Haubo Bojesen Christensen <rune.haubo@gmail.com>

Diff between ordinal versions 2015.6-28 dated 2015-06-28 and 2018.4-19 dated 2018-04-19

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Package ncf updated to version 1.2-3 with previous version 1.2-2 dated 2018-04-10

Title: Spatial Nonparametric Covariance Functions
Description: R functions for analyzing spatial (cross-)covariance: the nonparametric (cross-)covariance, the spline correlogram, the nonparametric phase coherence function, and related.
Author: Ottar N. Bjornstad [aut, cre], Jun Cai [ctb]
Maintainer: Ottar N. Bjornstad <onb1@psu.edu>

Diff between ncf versions 1.2-2 dated 2018-04-10 and 1.2-3 dated 2018-04-19

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Package ClusVis updated to version 1.1.0 with previous version 1.0.0 dated 2017-07-13

Title: Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering
Description: Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering done on any type of data. Visualization is based on the probabilities of classification.
Author: Christophe Biernacki [aut], Matthieu Marbac [aut, cre], Vincent Vandewalle [aut]
Maintainer: Matthieu Marbac <matthieu.marbac@gmail.com>

Diff between ClusVis versions 1.0.0 dated 2017-07-13 and 1.1.0 dated 2018-04-19

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Package BEST updated to version 0.5.1 with previous version 0.5.0 dated 2017-05-27

Title: Bayesian Estimation Supersedes the t-Test
Description: An alternative to t-tests, producing posterior estimates for group means and standard deviations and their differences and effect sizes.
Author: John K. Kruschke and Mike Meredith
Maintainer: Mike Meredith <mmeredith@wcs.org>

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Package AMIAS updated to version 1.0.2 with previous version 1.0.1 dated 2017-11-20

Title: Alternating Minimization Induced Active Set Algorithms
Description: An implementation of alternating minimization induced active set (AMIAS) method for solving the L0 regularized learning problems. It includes a piecewise smooth estimator by minimizing the least squares function with constraints on the number of kink points in the discrete derivatives. It also includes generalized structural sparsity via composite L0 penalty. Both time series and image segmentation can be handled by this package.
Author: Canhong Wen, Zelin Hong, Xueqin Wang, Aijun Zhang
Maintainer: Canhong Wen <wencanhong@gmail.com>

Diff between AMIAS versions 1.0.1 dated 2017-11-20 and 1.0.2 dated 2018-04-19

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Package aire.zmvm updated to version 0.6.1 with previous version 0.6.0 dated 2018-03-25

Title: Download Mexico City Pollution, Wind, and Temperature Data
Description: Tools for downloading hourly averages, daily maximums and minimums from each of the pollution, wind, and temperature measuring stations or geographic zones in the Mexico City metro area. The package also includes the locations of each of the stations and zones. See <http://aire.cdmx.gob.mx/> for more information.
Author: Diego Valle-Jones [aut, cre]
Maintainer: Diego Valle-Jones <diego@diegovalle.net>

Diff between aire.zmvm versions 0.6.0 dated 2018-03-25 and 0.6.1 dated 2018-04-19

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Package htmlwidgets updated to version 1.2 with previous version 1.0 dated 2018-01-20

Title: HTML Widgets for R
Description: A framework for creating HTML widgets that render in various contexts including the R console, 'R Markdown' documents, and 'Shiny' web applications.
Author: Ramnath Vaidyanathan [aut, cph], Yihui Xie [aut], JJ Allaire [aut, cre], Joe Cheng [aut], Kenton Russell [aut, cph], RStudio [cph]
Maintainer: JJ Allaire <jj@rstudio.com>

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Package riskRegression updated to version 2018.04.21 with previous version 1.4.3 dated 2017-06-30

Title: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks
Description: Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.
Author: Thomas Alexander Gerds [aut, cre], Paul Blanche [ctb], Ulla Brasch Mogensen [ctb], Brice Ozenne [aut]
Maintainer: Thomas Alexander Gerds <tag@biostat.ku.dk>

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More information about riskRegression at CRAN
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Package geostatsp updated to version 1.7.1 with previous version 1.6.0 dated 2018-01-03

Title: Geostatistical Modelling with Likelihood and Bayes
Description: Geostatistical modelling facilities using Raster and SpatialPoints objects are provided. Non-Gaussian models are fit using INLA, and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) <doi:10.18637/jss.v063.i12>.
Author: Patrick Brown <patrick.brown@utoronto.ca>[aut, cre], Robert Hijmans [ctb]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

Diff between geostatsp versions 1.6.0 dated 2018-01-03 and 1.7.1 dated 2018-04-19

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Package detrendr updated to version 0.5.0 with previous version 0.4.0 dated 2018-02-17

Title: Detrend Images
Description: Image series affected by bleaching must be corrected by 'detrending' prior to the performance of quantitative analysis. 'detrendr' is for correctly detrending images. It uses Nolan's algorithm (Nolan et al., 2017 <doi:10.1093/bioinformatics/btx434>).
Author: Rory Nolan [aut, cre, cph], Sergi Padilla-Parra [ths, cph]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between detrendr versions 0.4.0 dated 2018-02-17 and 0.5.0 dated 2018-04-19

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Package clordr updated to version 1.3.0 with previous version 1.2.0 dated 2018-03-02

Title: Composite Likelihood Inference for Spatial Ordinal Data with Replications
Description: Composite likelihood parameter estimate and asymptotic covariance matrix are calculated for the spatial ordinal data with replications, where spatial ordinal response with covariate and both spatial exponential covariance within subject and independent and identically distributed measurement error. Parameter estimation can be performed by either solving the gradient function or maximizing composite log-likelihood. Parametric bootstrapping is used to estimate the Godambe information matrix and hence the asymptotic standard error and covariance matrix with parallel processing option.
Author: Ting Fung (Ralph) Ma [cre, aut], Pingping Wang [aut], Jun Zhu [aut], Dipankar Bandyopadhyay [ctb], Yincai Tang [ctb]
Maintainer: Ting Fung (Ralph) Ma <tingfung.ma@wisc.edu>

Diff between clordr versions 1.2.0 dated 2018-03-02 and 1.3.0 dated 2018-04-19

 DESCRIPTION    |    6 +++---
 MD5            |   16 ++++++++--------
 R/cl.R         |    2 +-
 R/cl.rord.R    |    2 +-
 R/cl_l.R       |    2 +-
 R/cle.rord.R   |    2 +-
 man/cl.Rd      |    2 +-
 man/cl.rord.Rd |    2 +-
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 9 files changed, 18 insertions(+), 18 deletions(-)

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New package phenocamr with initial version 1.1.0
Package: phenocamr
Title: Facilitates 'PhenoCam' Data Access and Time Series Post-Processing
Version: 1.1.0
Authors@R: person("Hufkens","Koen", email="koen.hufkens@gmail.com", role=c("aut", "cre"))
Description: Programmatic interface to the 'PhenoCam' web services (<http://phenocam.sr.unh.edu>). Allows for easy downloading of 'PhenoCam' data directly to your R workspace or your computer and provides post-processing routines for consistent and easy timeseries outlier detection, smoothing and estimation of phenological transition dates. Methods for this package are described in detail in Hufkens et. al (2018) <doi:10.1111/2041-210X.12970>.
Depends: R (>= 3.4.0),
Imports: shiny, shinydashboard, leaflet, plotly, jsonlite, changepoint, curl, zoo, utils, graphics, DT, stats, daymetr
Suggests: covr, testthat, knitr, rmarkdown
License: AGPL-3
LazyData: true
ByteCompile: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-18 15:46:31 UTC; khufkens
Author: Hufkens Koen [aut, cre]
Maintainer: Hufkens Koen <koen.hufkens@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-19 08:19:22 UTC

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New package nomisr with initial version 0.2.0
Package: nomisr
Type: Package
Title: Access 'Nomis' UK Labour Market Data
Version: 0.2.0
Authors@R: c( person( "Evan", "Odell", email = "evanodell91@gmail.com", role = c("aut", "cre"), comment = c(ORCID='0000-0003-1845-808X')), person( "Paul", "Egeler", email = "paulegeler@gmail.com", role = c("rev", "ctb")), person( "Christophe", "Dervieux", role = c("rev"), comment = c(ORCID='0000-0003-4474-2498')) )
Description: Access UK official statistics from the 'Nomis' database. 'Nomis' includes data from the Census, the Labour Force Survey, DWP benefit statistics and other economic and demographic data from the Office for National Statistics, based around statistical geographies. See <https://www.nomisweb.co.uk/api/v01/help> for full API documentation.
URL: https://github.com/ropensci/nomisr
BugReports: https://github.com/ropensci/nomisr/issues
License: MIT + file LICENSE
Depends: R (>= 3.4.0)
Imports: jsonlite, tibble, readr, dplyr, httr, utils
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat, purrr, tidyr, magrittr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-18 14:39:58 UTC; evanodell
Author: Evan Odell [aut, cre] (<https://orcid.org/0000-0003-1845-808X>), Paul Egeler [rev, ctb], Christophe Dervieux [rev] (<https://orcid.org/0000-0003-4474-2498>)
Maintainer: Evan Odell <evanodell91@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-19 08:15:25 UTC

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New package gensvm with initial version 0.1.0
Package: gensvm
Version: 0.1.0
Date: 2018-04-04
Title: A Generalized Multiclass Support Vector Machine
Authors@R: c(person("Gertjan", "van den Burg", role=c("aut", "cre"), email="gertjanvandenburg@gmail.com"), person("Patrick", "Groenen", email="groenen@ese.eur.nl", role="ctb"))
Description: The GenSVM classifier is a generalized multiclass support vector machine (SVM). This classifier aims to find decision boundaries that separate the classes with as wide a margin as possible. In GenSVM, the loss function is very flexible in the way that misclassifications are penalized. This allows the user to tune the classifier to the dataset at hand and potentially obtain higher classification accuracy than alternative multiclass SVMs. Moreover, this flexibility means that GenSVM has a number of other multiclass SVMs as special cases. One of the other advantages of GenSVM is that it is trained in the primal space, allowing the use of warm starts during optimization. This means that for common tasks such as cross validation or repeated model fitting, GenSVM can be trained very quickly. Based on: G.J.J. van den Burg and P.J.F. Groenen (2018) <http://www.jmlr.org/papers/v17/14-526.html>.
License: GPL (>= 2)
Depends: R (>= 3.0.0)
Classification/MSC: 62H30, 68T10
URL: https://github.com/GjjvdBurg/RGenSVM http://jmlr.org/papers/v17/14-526.html
BugReports: https://github.com/GjjvdBurg/RGenSVM
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-04-18 13:45:54 UTC; gertjan
Author: Gertjan van den Burg [aut, cre], Patrick Groenen [ctb]
Maintainer: Gertjan van den Burg <gertjanvandenburg@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-19 08:23:06 UTC

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New package chorrrds with initial version 0.1.3
Package: chorrrds
Title: Music Chords Extraction
Type: Package
Version: 0.1.3
Author: Bruna Wundervald
Maintainer: Bruna Wundervald <brunadaviesw@gmail.com>
Description: Extracts music chords from the 'CifraClub' website <https://www.cifraclub.com.br/>. The package also has functions for cleaning the extracted data and feature extraction.
Depends: R (>= 3.2.3)
Suggests: ggplot2, knitr, network, stm
URL: https://github.com/brunaw/chorrrds
BugReports: https://github.com/brunaw/chorrrds/issues
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: jsonlite, httr, stringr, dplyr, plyr, XML, magrittr
NeedsCompilation: no
Packaged: 2018-04-18 12:49:49 UTC; bruna
Repository: CRAN
Date/Publication: 2018-04-19 08:01:01 UTC

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New package lspartition with initial version 0.1
Package: lspartition
Type: Package
Title: Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression
Version: 0.1
Date: 2018-04-18
Author: Matias D. Cattaneo, Max H. Farrell, Yingjie Feng
Maintainer: Yingjie Feng <yjfeng@umich.edu>
Description: Tools for statistical analysis using partitioning-based least squares regression as described in Cattaneo, Farrell and Feng (2018) <arXiv:1804.04916>. lsprobust() for nonparametric point estimation of regression functions and derivatives thereof, and for robust bias-corrected (pointwise and uniform) inference procedures. lspkselect() for data-driven procedure for selecting the IMSE-optimal number of knots. lsprobust.plot() for regression plots with robust confidence intervals and confidence bands. lsplincom() for estimation and inference for linear combinations of regression functions from different groups.
Depends: R (>= 3.1)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: ggplot2, pracma, mgcv, combinat, matrixStats, MASS
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-18 12:29:54 UTC; Administrator
Repository: CRAN
Date/Publication: 2018-04-19 07:55:16 UTC

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New package AGread with initial version 0.1.2
Package: AGread
Title: Read Data Files from ActiGraph Monitors
Version: 0.1.2
Authors@R: c( person(c("Paul", "R."), "Hibbing", email = "paulhibbing@gmail.com", role = c("aut","cre")), person(c("Vincent", "T."), "van Hees", role = "ctb"))
Description: Standardize the process of bringing various modes of output files into R. For more information, see: <https://actigraph.desk.com/customer/en/portal/articles/2515800-what-do-the-different-mode-numbers-mean-in-a-csv-or-dat-file->. Additionally, processes are provided to read and minimally pre-process raw data from primary accelerometer and inertial measurement unit files. ActiGraph monitors are used to estimate physical activity outcomes via body-worn sensors that measure (e.g.) acceleration or rotational velocity.
Depends: R (>= 2.10)
License: GPL-3 | file LICENSE
Imports: data.table (>= 1.10.4), utils (>= 3.4.3), stats (>= 3.4.3), dplyr (>= 0.5.0), seewave (>= 2.0.5), magrittr (>= 1.5),
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/paulhibbing/AGread
BugReports: https://github.com/paulhibbing/AGread/issues
NeedsCompilation: no
Packaged: 2018-04-19 02:15:32 UTC; Paul
Author: Paul R. Hibbing [aut, cre], Vincent T. van Hees [ctb]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-19 07:46:47 UTC

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Package textclean updated to version 0.7.2 with previous version 0.6.3 dated 2018-01-14

Title: Text Cleaning Tools
Description: Tools to clean and process text. Tools are geared at checking for substrings that are not optimal for analysis and replacing or removing them (normalizing) with more analysis friendly substrings (see Sproat, Black, Chen, Kumar, Ostendorf, & Richards (2001) <doi:10.1006/csla.2001.0169>) or extracting them into new variables. For example, emoticons are often used in text but not always easily handled by analysis algorithms. The 'replace_emoticon()' function replaces emoticons with word equivalents.
Author: Tyler Rinker [aut, cre], ctwheels StackOverflow [ctb]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between textclean versions 0.6.3 dated 2018-01-14 and 0.7.2 dated 2018-04-19

 DESCRIPTION           |   29 ++--
 MD5                   |   52 ++++----
 NAMESPACE             |   13 ++
 NEWS                  |   38 ++++++
 R/drop_element.R      |   54 ++++++++
 R/glue-reexports.R    |only
 R/match_tokens.R      |only
 R/mgsub.R             |   56 ++++++++
 R/replace_date.R      |only
 R/replace_html.R      |   63 +++++++---
 R/replace_kerning.R   |    2 
 R/replace_money.R     |only
 R/replace_names.R     |    6 
 R/replace_number.R    |   18 ++
 R/replace_time.R      |only
 R/replace_tokens.R    |    2 
 R/sysdata.rda         |binary
 R/utils.R             |    2 
 README.md             |  315 ++++++++++++++++++++++++++++++++++----------------
 data/DATA.rda         |binary
 inst/CITATION         |    4 
 man/drop_element.Rd   |   27 +++-
 man/match_tokens.Rd   |only
 man/mgsub.Rd          |   44 ++++++
 man/reexports.Rd      |only
 man/replace_date.Rd   |only
 man/replace_html.Rd   |   41 ++++--
 man/replace_money.Rd  |only
 man/replace_names.Rd  |    5 
 man/replace_number.Rd |   18 ++
 man/replace_time.Rd   |only
 man/replace_tokens.Rd |    2 
 32 files changed, 602 insertions(+), 189 deletions(-)

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Package odfWeave.survey (with last version 1.0) was removed from CRAN

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

2009-05-18 1.0

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Package odfWeave (with last version 0.8.4) was removed from CRAN

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

2014-01-17 0.8.4
2012-11-19 0.8.2
2012-06-23 0.8.1
2010-12-22 0.7.17
2010-06-25 0.7.14
2010-04-16 0.7.11
2009-01-26 0.7.10
2008-08-31 0.7.9
2008-08-27 0.7.8
2008-08-24 0.7.7
2008-08-07 0.7.6
2008-05-09 0.7.5
2008-05-05 0.7.4
2008-02-13 0.7.3
2007-08-09 0.6.0
2007-06-21 0.5.9

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Package propr updated to version 3.1.9 with previous version 3.1.8 dated 2018-03-21

Title: Calculating Proportionality Between Vectors of Compositional Data
Description: The bioinformatic evaluation of gene co-expression often begins with correlation-based analyses. However, this approach lacks statistical validity when applied to relative data. This includes, for example, biological count data generated by high-throughput RNA-sequencing, chromatin immunoprecipitation (ChIP), ChIP-sequencing, Methyl-Capture sequencing, and other techniques. This package implements several metrics for proportionality, including phi [Lovell et al (2015) <DOI:10.1371/journal.pcbi.1004075>] and rho [Erb and Notredame (2016) <DOI:10.1007/s12064-015-0220-8>]. This package also implements several metrics for differential proportionality. Unlike correlation, these measures give the same result for both relative and absolute data.
Author: Thomas Quinn [aut, cre], David Lovell [aut], Ionas Erb [aut], Anders Bilgrau [ctb], Greg Gloor [ctb]
Maintainer: Thomas Quinn <contacttomquinn@gmail.com>

Diff between propr versions 3.1.8 dated 2018-03-21 and 3.1.9 dated 2018-04-19

 DESCRIPTION                   |    6 +++---
 MD5                           |   20 ++++++++++----------
 NEWS.md                       |    4 ++++
 inst/doc/a_introduction.html  |    4 ++--
 inst/doc/b_visualization.html |    4 ++--
 inst/doc/c_indexing.html      |    4 ++--
 inst/doc/d_advanced.html      |    4 ++--
 inst/doc/e_differential.html  |    4 ++--
 inst/doc/f_moderation.html    |    4 ++--
 inst/doc/g_questions.html     |    4 ++--
 src/backend.cpp               |    6 +++---
 11 files changed, 34 insertions(+), 30 deletions(-)

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Package coneproj updated to version 1.14 with previous version 1.13 dated 2018-03-26

Title: Primal or Dual Cone Projections with Routines for Constrained Regression
Description: Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems. See Mary C. Meyer (2013)<doi:10.1080/03610918.2012.659820> for more details.
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <liaoxiyue2011@gmail.com>

Diff between coneproj versions 1.13 dated 2018-03-26 and 1.14 dated 2018-04-19

 DESCRIPTION      |   10 +++++-----
 MD5              |    6 +++---
 R/coneproj.R     |   36 ++++++++++++++++++------------------
 src/coneproj.cpp |    6 +++---
 4 files changed, 29 insertions(+), 29 deletions(-)

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