Tue, 06 Aug 2019

Package RobStatTM updated to version 1.0.1 with previous version 1.0.0 dated 2019-04-23

Title: Robust Statistics: Theory and Methods
Description: Companion package for the book: "Robust Statistics: Theory and Methods, second edition", <http://www.wiley.com/go/maronna/robust>. This package contains code that implements the robust estimators discussed in the recent second edition of the book above, as well as the scripts reproducing all the examples in the book.
Author: Matias Salibian-Barrera [cre], Victor Yohai [aut], Ricardo Maronna [aut], Doug Martin [aut], Gregory Brownson [aut] (ShinyUI), Kjell Konis [aut], Kjell Konis [cph] (erfi), Christophe Croux [ctb] (WBYlogreg, BYlogreg), Gentiane Haesbroeck [ctb] (WBYlogreg, BYlogreg), Martin Maechler [cph] (lmrob.fit, lmrob..M..fit, lmrob.S), Manuel Koller [cph] (lmrob.fit, .vcov.avar1, lmrob.S, lmrob.lar), Matias Salibian-Barrera [aut]
Maintainer: Matias Salibian-Barrera <matias@stat.ubc.ca>

Diff between RobStatTM versions 1.0.0 dated 2019-04-23 and 1.0.1 dated 2019-08-06

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More information about RobStatTM at CRAN
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Package IRISSeismic updated to version 1.5.1 with previous version 1.5.0 dated 2019-06-05

Title: Classes and Methods for Seismic Data Analysis
Description: Provides classes and methods for seismic data analysis. The base classes and methods are inspired by the python code found in the 'ObsPy' python toolbox <https://github.com/obsypy/obspy>. Additional classes and methods support data returned by web services provided by the 'IRIS DMC' <http://service.iris.edu/>.
Author: Jonathan Callahan [aut], Rob Casey [aut], Gillian Sharer [aut, cre], Mary Templeton [aut], Chad Trabant [ctb]
Maintainer: Gillian Sharer <gillian@iris.washington.edu>

Diff between IRISSeismic versions 1.5.0 dated 2019-06-05 and 1.5.1 dated 2019-08-06

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More information about IRISSeismic at CRAN
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Package inlmisc updated to version 0.4.7 with previous version 0.4.5 dated 2019-02-09

Title: Miscellaneous Functions for the USGS INL Project Office
Description: A collection of functions for creating high-level graphics, performing raster-based analysis, processing MODFLOW-based models, selecting subsets using a genetic algorithm, creating interactive web maps, accessing color palettes, etc. Used to support packages and scripts written by researchers at the United States Geological Survey (USGS) Idaho National Laboratory (INL) Project Office.
Author: Jason C. Fisher [aut, cre] (<https://orcid.org/0000-0001-9032-8912>)
Maintainer: Jason C. Fisher <jfisher@usgs.gov>

Diff between inlmisc versions 0.4.5 dated 2019-02-09 and 0.4.7 dated 2019-08-06

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 inlmisc-0.4.7/inlmisc/DESCRIPTION                                                       |   15 
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 inlmisc-0.4.7/inlmisc/NAMESPACE                                                         |    5 
 inlmisc-0.4.7/inlmisc/NEWS.md                                                           |   47 
 inlmisc-0.4.7/inlmisc/R/AddColorKey.R                                                   |    9 
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 inlmisc-0.4.7/inlmisc/R/AddPoints.R                                                     |    8 
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 inlmisc-0.4.7/inlmisc/R/ExtractAlongTransect.R                                          |    9 
 inlmisc-0.4.7/inlmisc/R/FindOptimalSubset.R                                             |   25 
 inlmisc-0.4.7/inlmisc/R/GetColors.R                                                     |   69 
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 inlmisc-0.4.7/inlmisc/R/Grid2Polygons.R                                                 |   20 
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 inlmisc-0.4.7/inlmisc/R/PlotMap.R                                                       |   29 
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 inlmisc-0.4.7/inlmisc/R/RmSmallCellChunks.R                                             |    9 
 inlmisc-0.4.7/inlmisc/R/SetPolygons.R                                                   |   43 
 inlmisc-0.4.7/inlmisc/R/SummariseBudget.R                                               |   20 
 inlmisc-0.4.7/inlmisc/R/ToScientific.R                                                  |    6 
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 inlmisc-0.4.7/inlmisc/man/FindPolyNodes.Rd                                              |    3 
 inlmisc-0.4.7/inlmisc/man/GetColors.Rd                                                  |    3 
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Permanent link

Package covr updated to version 3.3.0 with previous version 3.2.1 dated 2018-10-18

Title: Test Coverage for Packages
Description: Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <http://codecov.io> or 'Coveralls' <http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.
Author: Jim Hester [aut, cre], Willem Ligtenberg [ctb], Kirill Müller [ctb], Henrik Bengtsson [ctb], Steve Peak [ctb], Kirill Sevastyanenko [ctb], Jon Clayden [ctb], Robert Flight [ctb], Eric Brown [ctb], Brodie Gaslam [ctb], Will Beasley [ctb], Robert Krzyzanowski [ctb], Markus Wamser [ctb], Karl Forner [ctb], Gergely Daróczi [ctb], Jouni Helske [ctb], Kun Ren [ctb], Jeroen Ooms [ctb], Ken Williams [ctb], Chris Campbell [ctb], David Hugh-Jones [ctb], Qin Wang [ctb], Ivan Sagalaev [ctb, cph] (highlight.js library), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library)
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between covr versions 3.2.1 dated 2018-10-18 and 3.3.0 dated 2019-08-06

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 covr-3.3.0/covr/DESCRIPTION                                                    |   12 -
 covr-3.3.0/covr/MD5                                                            |   83 +++++-----
 covr-3.3.0/covr/NAMESPACE                                                      |    1 
 covr-3.3.0/covr/NEWS.md                                                        |   32 +++
 covr-3.3.0/covr/R/R6.R                                                         |    2 
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 covr-3.3.0/covr/R/exclusions.R                                                 |    2 
 covr-3.3.0/covr/R/parse_data.R                                                 |    4 
 covr-3.3.0/covr/R/summary_functions.R                                          |    5 
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Package rlfsm updated to version 0.3.1 with previous version 0.3.0 dated 2019-07-02

Title: Simulations and Statistical Inference for Linear Fractional Stable Motions
Description: Contains functions for simulating linear fractional stable motions, according to techniques developed by Stoev and Taqqu (2004) <doi:10.1142/S0218348X04002379>, as well as functions for computing important statistics used with these processes introduced by Mazur, Otryakhin and Podolskij (2018) <arXiv:1802.06373>, and also different quantities related to those statistics.
Author: Dmitry Otryakhin [aut, cre], Stepan Mazur [aut], Mathias Ljungdahl [ctb]
Maintainer: Dmitry Otryakhin <d.otryakhin.acad@protonmail.ch>

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Package lidR updated to version 2.1.1 with previous version 2.1.0 dated 2019-07-12

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>

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Package squid updated to version 0.1.2 with previous version 0.1.1 dated 2016-06-20

Title: Statistical Quantification of Individual Differences
Description: A simulation-based tool made to help researchers to become familiar with multilevel variations, and to build up sampling designs for their study. This tool has two main objectives: First, it provides an educational tool useful for students, teachers and researchers who want to learn to use mixed-effects models. Users can experience how the mixed-effects model framework can be used to understand distinct biological phenomena by interactively exploring simulated multilevel data. Second, it offers research opportunities to those who are already familiar with mixed-effects models, as it enables the generation of data sets that users may download and use for a range of simulation-based statistical analyses such as power and sensitivity analysis of multilevel and multivariate data [Allegue, H., Araya-Ajoy, Y.G., Dingemanse, N.J., Dochtermann N.A., Garamszegi, L.Z., Nakagawa, S., Reale, D., Schielzeth, H. and Westneat, D.F. (2016) <doi: 10.1111/2041-210X.12659>].
Author: Hassen Allegue [aut, cre], Yimen G. Araya-Ajoy [aut], Niels J. Dingemanse [aut], Ned A. Dochtermann [aut], Laszlo Z. Garamszegi [aut], Shinichi Nakagawa [aut], Denis Reale [aut], Holger Schielzeth [aut], David F. Westneat [aut]
Maintainer: Hassen Allegue <h.all@disroot.org>

Diff between squid versions 0.1.1 dated 2016-06-20 and 0.1.2 dated 2019-08-06

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Package HextractoR updated to version 1.4 with previous version 1.3 dated 2018-10-19

Title: Integrated Tool for Hairping Extraction of RNA Sequences
Description: Simple and integrated tool that automatically extracts and folds all hairpin sequences from raw genome-wide data. It predicts the secondary structure of several overlapped segments, with longer length than the mean length of sequences of interest for the species under processing, ensuring that no one is lost nor inappropriately cut.
Author: Cristian Yones
Maintainer: Cristian Yones <cyones@sinc.unl.edu.ar>

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Package ggplotify updated to version 0.0.4 with previous version 0.0.3 dated 2018-08-03

Title: Convert Plot to 'grob' or 'ggplot' Object
Description: Convert plot function call (using expression or formula) to 'grob' or 'ggplot' object that compatible to the 'grid' and 'ggplot2' ecosystem. With this package, we are able to e.g. using 'cowplot' to align plots produced by 'base' graphics, 'grid', 'lattice', 'vcd' etc. by converting them to 'ggplot' objects.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package RxODE updated to version 0.9.1-3 with previous version 0.9.1-2 dated 2019-08-01

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation (ODE) models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The VODE and LSODA are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Melissa Hallow [aut], Wenping Wang [aut, cre], Zufar Mulyukov [ctb], Justin Wilkins [ctb] (<https://orcid.org/0000-0002-7099-9396>), Simon Frost [ctb], Heng Li [ctb], Yu Feng [ctb], Alan Hindmarsh [ctb], Linda Petzold [ctb], Ernst Hairer [ctb], Gerhard Wanner [ctb], J Colinge [ctb], Hadley Wickham [ctb], G Grothendieck [ctb], Robert Gentleman [ctb], Ross Ihaka [ctb], R core team [cph], odepack authors [cph]
Maintainer: Wenping Wang <wwang8198@gmail.com>

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Package mlr updated to version 2.15.0 with previous version 2.14.0 dated 2019-04-25

Title: Machine Learning in R
Description: Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with additional operations common in machine learning, also allowing for easy nested resampling. Most operations can be parallelized.
Author: Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Lars Kotthoff [aut], Julia Schiffner [aut], Jakob Richter [aut], Zachary Jones [aut], Giuseppe Casalicchio [aut] (<https://orcid.org/0000-0001-5324-5966>), Mason Gallo [aut], Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>), Jakob Bossek [ctb] (<https://orcid.org/0000-0002-4121-4668>), Erich Studerus [ctb] (<https://orcid.org/0000-0003-4233-0182>), Leonard Judt [ctb], Tobias Kuehn [ctb], Pascal Kerschke [ctb] (<https://orcid.org/0000-0003-2862-1418>), Florian Fendt [ctb], Philipp Probst [ctb] (<https://orcid.org/0000-0001-8402-6790>), Xudong Sun [ctb] (<https://orcid.org/0000-0003-3269-2307>), Janek Thomas [ctb] (<https://orcid.org/0000-0003-4511-6245>), Bruno Vieira [ctb], Laura Beggel [ctb] (<https://orcid.org/0000-0002-8872-8535>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [ctb], Florian Pfisterer [ctb], Stefan Coors [ctb], Steve Bronder [ctb], Alexander Engelhardt [ctb], Christoph Molnar [ctb]
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

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Package metasens updated to version 0.4-0 with previous version 0.3-2 dated 2017-12-05

Title: Advanced Statistical Methods to Model and Adjust for Bias in Meta-Analysis
Description: The following methods are implemented to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis and to support Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 5 'Small-Study Effects in Meta-Analysis': - Copas selection model described in Copas & Shi (2001) <DOI:10.1177/096228020101000402>; - limit meta-analysis by Rücker et al. (2011) <DOI:10.1093/biostatistics/kxq046>; - upper bound for outcome reporting bias by Copas & Jackson (2004) <DOI:10.1111/j.0006-341X.2004.00161.x>; - imputation methods for missing binary data by Gamble & Hollis (2005) <DOI:10.1016/j.jclinepi.2004.09.013> and Higgins et al. (2008) <DOI:10.1177/1740774508091600>.
Author: Guido Schwarzer [cre, aut] (<https://orcid.org/0000-0001-6214-9087>), James R. Carpenter [aut] (<https://orcid.org/0000-0003-3890-6206>), Gerta Rücker [aut] (<https://orcid.org/0000-0002-2192-2560>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

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Package hdfqlr updated to version 0.6-1 with previous version 0.6-0 dated 2019-08-03

Title: Interface to 'HDFql' API
Description: Provides an interface to 'HDFql' <http://www.hdfql.com/> and helper functions for reading data from and writing data to 'HDF5' files. 'HDFql' provides a high-level language for managing 'HDF5' data that is platform independent. For more information, see the reference manual <http://www.hdfql.com/resources/HDFqlReferenceManual.pdf>.
Author: Michael Koohafkan [aut, cre]
Maintainer: Michael Koohafkan <michael.koohafkan@gmail.com>

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Package rerddapXtracto updated to version 0.4.1 with previous version 0.4.0 dated 2019-07-24

Title: Extracts Environmental Data from 'ERDDAP' Web Services
Description: Contains three functions that access environmental data from any 'ERDDAP' data web service. The rxtracto() function extracts data along a trajectory for a given "radius" around the point. The rxtracto_3D() function extracts data in a box. The rxtractogon() function extracts data in a polygon. All of those three function use the 'rerddap' package to extract the data, and should work with any 'ERDDAP' server. There are also two functions, plotBBox() and plotTrack() that use the 'plotdap' package to simplify the creation of maps of the data.
Author: Roy Mendelssohn [aut, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package meta updated to version 4.9-6 with previous version 4.9-5 dated 2019-04-11

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - fixed effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - statistical tests and trim-and-fill method to evaluate bias in meta-analysis; - import data from 'RevMan 5'; - prediction interval, Hartung-Knapp and Paule-Mandel method for random effects model; - cumulative meta-analysis and leave-one-out meta-analysis; - meta-regression; - generalised linear mixed models; - produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

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Package exdex updated to version 1.0.1 with previous version 1.0.0 dated 2019-08-03

Title: Estimation of the Extremal Index
Description: Performs frequentist inference for the extremal index of a stationary time series. Two types of methodology are used. One type is based on a model that relates the distribution of block maxima to the marginal distribution of series and leads to the semiparametric maxima estimators described in Northrop (2015) <doi:10.1007/s10687-015-0221-5> and Berghaus and Bucher (2018) <doi:10.1214/17-AOS1621>. Sliding block maxima are used to increase precision of estimation. The other type of methodology uses a model for the distribution of threshold inter-exceedance times (Ferro and Segers (2003) <doi:10.1111/1467-9868.00401>). Two versions of this type of approach are provided, following Suveges (2007) <doi:10.1007/s10687-007-0034-2> and Suveges and Davison (2010) <doi:10.1214/09-AOAS292>.
Author: Paul J. Northrop [aut, cre, cph], Constantinos Christodoulides [aut, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package visvow updated to version 0.7.0 with previous version 0.6.0 dated 2019-07-01

Title: Visible Vowels: Visualization of Vowel Variation
Description: Visualizes vowel variation in f0, F1, F2, F3 and duration.
Author: Wilbert Heeringa, Hans Van de Velde
Maintainer: Wilbert Heeringa <wjheeringa@gmail.com>

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Package shinyTime updated to version 1.0.1 with previous version 1.0.0 dated 2019-05-28

Title: A Time Input Widget for Shiny
Description: Provides a time input widget for Shiny. This widget allows intuitive time input in the '[hh]:[mm]:[ss]' or '[hh]:[mm]' (24H) format by using a separate numeric input for each time component. The interface with R uses date-time objects. See the project page for more information and examples.
Author: Gerhard Burger [aut, cre] (<https://orcid.org/0000-0003-1062-5576>)
Maintainer: Gerhard Burger <burger.ga@gmail.com>

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Package nnTensor updated to version 1.0.1 with previous version 1.0.0 dated 2019-07-30

Title: Non-Negative Tensor Decomposition
Description: Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) <doi:10.1002/9780470747278> and the reference section of GitHub README.md <https://github.com/rikenbit/nnTensor>, for details of the methods.
Author: Koki Tsuyuzaki, Manabu Ishii, Itoshi Nikaido
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

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Package multicastR updated to version 1.2.0 with previous version 1.1.0 dated 2019-05-12

Title: A Companion to the Multi-CAST Collection
Description: Provides a basic interface for accessing annotation data from the Multi-CAST collection, a database of spoken natural language texts edited by Geoffrey Haig and Stefan Schnell. The collection draws from a diverse set of languages and has been annotated across multiple levels. Annotation data is downloaded on request from the servers of the University of Bamberg. See the Multi-CAST website <https://multicast.aspra.uni-bamberg.de/> for more information and a list of related publications.
Author: Nils Norman Schiborr [aut, cre]
Maintainer: Nils Norman Schiborr <nils-norman.schiborr@uni-bamberg.de>

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Package distantia updated to version 1.0.1 with previous version 1.0.0 dated 2019-07-04

Title: Assessing Dissimilarity Between Multivariate Time Series
Description: Provides tools to assess the dissimilarity between multivariate time-series. It is based on the psi measure described by Birks and Gordon (1985 <doi:10.1002/jqs.3390020110>), which computes dissimilarity between irregular time-series constrained by sample order. However, in this package the original idea has been extended to work with any kind of multivariate time-series, no matter whether they are regular, irregular, aligned or unaligned. Furthermore, the package allows to assess the significance of dissimilarity values by applying a restricted permutation test, allows to measure the contribution of individual variables to dissimilarity, and offers tools to transfer attributes (generally time or age, but other are possible) between sequences based on the similarity of their samples.
Author: Blas M. Benito
Maintainer: Blas M. Benito <blasbenito@gmail.com>

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Package bayestestR updated to version 0.2.5 with previous version 0.2.2 dated 2019-06-20

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors).
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Michael D. Wilson [aut] (<https://orcid.org/0000-0003-4143-7308>), Paul-Christian Bürkner [rev], Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

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Package bayesmeta updated to version 2.4 with previous version 2.3 dated 2018-10-11

Title: Bayesian Random-Effects Meta-Analysis
Description: A collection of functions allowing to derive the posterior distribution of the two parameters in a random-effects meta-analysis, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, posterior predictive p-values, etc.
Author: Christian Roever [aut, cre] (<https://orcid.org/0000-0002-6911-698X>), Tim Friede [ctb] (<https://orcid.org/0000-0001-5347-7441>)
Maintainer: Christian Roever <christian.roever@med.uni-goettingen.de>

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Package huxtable updated to version 4.6.1 with previous version 4.6.0 dated 2019-06-24

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Like 'xtable', creates styled tables. Export to HTML, LaTeX, 'Word', 'Excel', 'PowerPoint' and RTF. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function for creation of regression tables, and 'quick_*' one-liners to print data to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package rgrass7 updated to version 0.2-1 with previous version 0.1-12 dated 2018-09-28

Title: Interface Between GRASS 7 Geographical Information System and R
Description: Interpreted interface between 'GRASS' 7 geographical information system and R, based on starting R from within the 'GRASS' 'GIS' environment, or running free-standing R in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the R command line. This package may not be used for 'GRASS' 6, for which 'spgrass6' should be used.
Author: Roger Bivand [cre, aut], Rainer Krug [ctb], Markus Neteler [ctb], Sebastian Jeworutzki [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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New package PupilPre with initial version 0.6.0
Package: PupilPre
Type: Package
Title: Preprocessing Pupil Size Data
Version: 0.6.0
Date: 2019-08-04
Authors@R: c(person("Aki-Juhani", "Kyröläinen", role = c("aut", "cre"), email = "akkyro@gmail.com"), person("Vincent", "Porretta", role = "aut"), person("Jacolien", "van Rij", role = "ctb"), person("Juhani", "Järvikivi", role = "ctb"))
Author: Aki-Juhani Kyröläinen [aut, cre], Vincent Porretta [aut], Jacolien van Rij [ctb], Juhani Järvikivi [ctb]
Maintainer: Aki-Juhani Kyröläinen <akkyro@gmail.com>
Description: Pupillometric data collected using SR Research Eyelink eye trackers requires significant preprocessing. This package contains functions for preparing pupil dilation data for visualization and statistical analysis. Specifically, it provides a pipeline of functions which aid in data validation, the removal of blinks/artifacts, downsampling, and baselining, among others. Additionally, plotting functions for creating grand average and conditional average plots are provided. See the vignette for samples of the functionality. The package is designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer.
Depends: R (>= 3.5.0), dplyr (>= 0.8.0), rlang (>= 0.1.1), VWPre (>= 1.2.0)
Imports: ggplot2 (>= 2.2.0), mgcv (>= 1.8-16), shiny (>= 0.14.2), tidyr (>= 0.6.0), stats (>= 3.3.2), robustbase (>= 0.93-3), zoo (>= 1.8-4), signal (>= 0.7-6)
License: GPL-3
LazyData: true
Suggests: knitr, rmarkdown, gridExtra
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-08-04 19:21:51 UTC; vjp
Repository: CRAN
Date/Publication: 2019-08-06 09:10:05 UTC

More information about PupilPre at CRAN
Permanent link

New package flightplanning with initial version 0.7.2
Package: flightplanning
Type: Package
Title: UAV Flight Planning
Version: 0.7.2
Authors@R: c( person("Caio", "Hamamura", email = "caiohamamura@gmail.com", role = c("aut", "cre")), person("Danilo Roberti Alves de", "Almeida", email = "daniloflorestas@gmail.com", role = c("aut")), person("Daniel de Almeida", "Papa", email = "daniel.papa@embrapa.br", role = c("aut")), person("Hudson Franklin Pessoa", "Veras", email = "hudson@engeverde.com", role = c("aut")), person("Evandro Orfanó", "Figueiredo", email = "evandro.figueiredo@embrapa.br", role = c("aut")))
Description: Utility functions for creating flight plans for unmanned aerial vehicles (UAV), specially for the Litchi Hub platform. It calculates the flight and camera settings based on the camera specifications, exporting the flight plan CSV format ready to import into Litchi Hub.
Imports: graphics, grDevices, methods, rgdal, rgeos, sp
Depends: R (>= 3.0)
Suggests: testthat
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/caiohamamura/flightplanning-R.git
BugReports: https://github.com/caiohamamura/flightplanning-R/issues
Author: Caio Hamamura [aut, cre], Danilo Roberti Alves de Almeida [aut], Daniel de Almeida Papa [aut], Hudson Franklin Pessoa Veras [aut], Evandro Orfanó Figueiredo [aut]
Maintainer: Caio Hamamura <caiohamamura@gmail.com>
Repository: CRAN
Repository/R-Forge/Project: flightplanning
Repository/R-Forge/Revision: 8
Repository/R-Forge/DateTimeStamp: 2019-08-01 22:51:09
Date/Publication: 2019-08-06 09:20:02 UTC
NeedsCompilation: no
Packaged: 2019-08-01 23:10:13 UTC; rforge

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New package flamingos with initial version 0.1.0
Type: Package
Package: flamingos
Title: Functional Latent Data Models for Clustering Heterogeneous Curves ('FLaMingos')
Version: 0.1.0
Authors@R: c(person("Faicel", "Chamroukhi", role = c("aut"), email = "faicel.chamroukhi@unicaen.fr", comment = c(ORCID = "0000-0002-5894-3103")), person("Florian", "Lecocq", role = c("aut", "trl", "cre"), comment = ("R port"), email = "florian.lecocq@outlook.com"), person("Marius", "Bartcus", role = c("aut","trl"), comment = ("R port"), email = "marius.bartcus@gmail.com"))
Description: Provides a variety of original and flexible user-friendly statistical latent variable models for the simultaneous clustering and segmentation of heterogeneous functional data (i.e time series, or more generally longitudinal data, fitted by unsupervised algorithms, including EM algorithms. Functional Latent Data Models for Clustering heterogeneous curves ('FLaMingos') are originally introduced and written in 'Matlab' by Faicel Chamroukhi <https://github.com/fchamroukhi?utf8=?&tab=repositories&q=mix&type=public&language=matlab>. The references are mainly the following ones. Chamroukhi F. (2010) <https://chamroukhi.com/FChamroukhi-PhD.pdf>. Chamroukhi F., Same A., Govaert, G. and Aknin P. (2010) <doi:10.1016/j.neucom.2009.12.023>. Chamroukhi F., Same A., Aknin P. and Govaert G. (2011). <doi:10.1109/IJCNN.2011.6033590>. Same A., Chamroukhi F., Govaert G. and Aknin, P. (2011) <doi:10.1007/s11634-011-0096-5>. Chamroukhi F., and Glotin H. (2012) <doi:10.1109/IJCNN.2012.6252818>. Chamroukhi F., Glotin H. and Same A. (2013) <doi:10.1016/j.neucom.2012.10.030>. Chamroukhi F. (2015) <https://chamroukhi.com/FChamroukhi-HDR.pdf>. Chamroukhi F. and Nguyen H-D. (2019) <doi:10.1002/widm.1298>.
URL: https://github.com/fchamroukhi/FLaMingos
BugReports: https://github.com/fchamroukhi/FLaMingos/issues
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports: methods, stats, Rcpp
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
Collate: flamingos-package.R RcppExports.R utils.R kmeans.R mkStochastic.R FData.R ParamMixHMM.R ParamMixHMMR.R ParamMixRHLP.R StatMixHMM.R StatMixHMMR.R StatMixRHLP.R ModelMixHMMR.R ModelMixHMM.R ModelMixRHLP.R emMixHMM.R emMixHMMR.R emMixRHLP.R cemMixRHLP.R data-toydataset.R
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-08-05 19:08:18 UTC; lecocq191
Author: Faicel Chamroukhi [aut] (<https://orcid.org/0000-0002-5894-3103>), Florian Lecocq [aut, trl, cre] (R port), Marius Bartcus [aut, trl] (R port)
Maintainer: Florian Lecocq <florian.lecocq@outlook.com>
Repository: CRAN
Date/Publication: 2019-08-06 09:30:02 UTC

More information about flamingos at CRAN
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New package cvcqv with initial version 1.0.0
Package: cvcqv
Type: Package
Title: Coefficient of Variation (CV) with Confidence Intervals (CI)
Version: 1.0.0
Date: 2019-08-01
Authors@R: person("Maani", "Beigy", email = "manibeygi@gmail.com", role = c("aut", "cre"))
Maintainer: Maani Beigy <manibeygi@gmail.com>
Description: Provides some easy-to-use functions and classes to calculate variability measures such as coefficient of variation with confidence intervals provided with all available methods. References are Panichkitkosolkul (2013) <doi:10.1155/2013/324940> , Altunkaynak & Gamgam (2018) <doi:10.1080/03610918.2018.1435800> , Albatineh, Kibria, Wilcox & Zogheib (2014) <doi:10.1080/02664763.2013.847405> .
Depends: R (>= 3.1.2), dplyr (>= 0.8.0.1)
Imports: R6, SciViews, boot, MBESS
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: https://github.com/MaaniBeigy/cvcqv
BugReports: https://github.com/MaaniBeigy/cvcqv/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-08-05 20:22:41 UTC; maanib
Author: Maani Beigy [aut, cre]
Repository: CRAN
Date/Publication: 2019-08-06 09:30:06 UTC

More information about cvcqv at CRAN
Permanent link

New package correlationfunnel with initial version 0.1.0
Package: correlationfunnel
Type: Package
Title: Speed Up Exploratory Data Analysis (EDA) with the Correlation Funnel
Version: 0.1.0
Authors@R: person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut", "cre"))
Description: Speeds up exploratory data analysis (EDA) by providing a succinct workflow and interactive visualization tools for understanding which features have relationships to target (response). Uses binary correlation analysis to determine relationship. Default correlation method is the Pearson method. Lian Duan, W Nick Street, Yanchi Liu, Songhua Xu, and Brook Wu (2014) <doi:10.1145/2637484>.
URL: https://github.com/business-science/correlationfunnel
BugReports: https://github.com/business-science/correlationfunnel/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1)
Imports: ggplot2, rlang, recipes, magrittr, plotly, tibble, dplyr, tidyr, stats, utils, ggrepel, stringr, forcats, purrr, cli, crayon, rstudioapi
Suggests: scales, knitr, rmarkdown, covr, lubridate, testthat (>= 2.1.0)
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-08-05 19:40:15 UTC; mdancho
Author: Matt Dancho [aut, cre]
Maintainer: Matt Dancho <mdancho@business-science.io>
Repository: CRAN
Date/Publication: 2019-08-06 09:30:09 UTC

More information about correlationfunnel at CRAN
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Package RaProR updated to version 1.1-5 with previous version 1.1-4 dated 2019-07-23

Title: Calculate Sketches using Random Projections to Reduce Large Data Sets
Description: Calculate sketches of a data set reducing the number of observations using random projections. These can be used for Bayesian or frequentist linear regression on large data sets as described in Geppert et. al (2017) <doi:10.1007/s11222-015-9608-z>.
Author: Leo N. Geppert [aut, cre, cph], Katja Ickstadt [aut], Alexander Munteanu [aut], Jens Quedenfeld [aut, cph], Ludger Sandig [aut, cph], Christian Sohler [aut]
Maintainer: Leo N. Geppert <geppert@statistik.uni-dortmund.de>

Diff between RaProR versions 1.1-4 dated 2019-07-23 and 1.1-5 dated 2019-08-06

 DESCRIPTION  |   14 +++++------
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Package parsnip updated to version 0.0.3.1 with previous version 0.0.3 dated 2019-07-31

Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', etc).
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between parsnip versions 0.0.3 dated 2019-07-31 and 0.0.3.1 dated 2019-08-06

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More information about parsnip at CRAN
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Package classInt updated to version 0.4-1 with previous version 0.3-3 dated 2019-04-26

Title: Choose Univariate Class Intervals
Description: Selected commonly used methods for choosing univariate class intervals for mapping or other graphics purposes.
Author: Roger Bivand [aut, cre] (<https://orcid.org/0000-0003-2392-6140>), Hisaji Ono [ctb], Richard Dunlap [ctb], Matthieu Stigler [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between classInt versions 0.3-3 dated 2019-04-26 and 0.4-1 dated 2019-08-06

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New package cat.dt with initial version 0.1.0
Package: cat.dt
Type: Package
Title: Computerized Adaptive Testing and Decision Trees
Version: 0.1.0
Imports: Rglpk, Matrix
Authors@R: c(person("Javier", "Rodriguez-Cuadrado",, role = c("aut", "cre"), email = "javierro@est-econ.uc3m.es"), person("Juan C.", "Laria",, role = c("aut"), email = "juancarlos.laria@uc3m.es"), person("David", "Delgado-Gomez",, role = "aut", "ths"))
Description: Implements the Merged Tree-CAT method to generate Computerized Adaptive Tests (CATs) based on a decision tree. The tree growth is controlled by merging branches with similar trait distributions and estimations. This package has the necessary tools for creating CATs and estimate the subject's ability level. The Merged Tree-CAT method is an extension of the Tree-CAT method (see Delgado-Gómez et al., 2019 <doi:10.1016/j.eswa.2018.09.052>).
URL: https://github.com/jlaria/cat.dt
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-08-05 15:57:46 UTC; user
Author: Javier Rodriguez-Cuadrado [aut, cre], Juan C. Laria [aut], David Delgado-Gomez [aut]
Maintainer: Javier Rodriguez-Cuadrado <javierro@est-econ.uc3m.es>
Repository: CRAN
Date/Publication: 2019-08-06 09:00:08 UTC

More information about cat.dt at CRAN
Permanent link

Package UniprotR updated to version 1.0.2 with previous version 1.0.1 dated 2019-07-25

Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information.
Author: Ali Mostafa [aut], Mohamed Soudy [aut, cre]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

Diff between UniprotR versions 1.0.1 dated 2019-07-25 and 1.0.2 dated 2019-08-06

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More information about UniprotR at CRAN
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Package tsbox updated to version 0.2.0 with previous version 0.1.0 dated 2019-04-03

Title: Class-Agnostic Time Series
Description: Time series toolkit with identical behavior for all time series classes: 'ts','xts', 'data.frame', 'data.table', 'tibble', 'zoo', 'timeSeries', 'tsibble', 'tis' or 'irts'. Also converts reliably between these classes.
Author: Christoph Sax [aut, cre] (<https://orcid.org/0000-0002-7192-7044>)
Maintainer: Christoph Sax <christoph.sax@gmail.com>

Diff between tsbox versions 0.1.0 dated 2019-04-03 and 0.2.0 dated 2019-08-06

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More information about tsbox at CRAN
Permanent link

Package ethnobotanyR updated to version 0.1.5 with previous version 0.1.4 dated 2019-02-13

Title: Calculate Quantitative Ethnobotany Indices
Description: Calculate common quantitative ethnobotany indices to assess the cultural significance of plant species based on informant consensus. The package closely follows the paper by Tardio and Pardo-de-Santayana (2008). Tardio, J., and M. Pardo-de-Santayana, 2008. Cultural Importance Indices: A Comparative Analysis Based on the Useful Wild Plants of Southern Cantabria (Northern Spain) 1. Economic Botany, 62(1), 24-39. <doi:10.1007/s12231-007-9004-5>.
Author: Cory Whitney
Maintainer: Cory Whitney <whitney.cory@gmail.com>

Diff between ethnobotanyR versions 0.1.4 dated 2019-02-13 and 0.1.5 dated 2019-08-06

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Package citr updated to version 0.3.1 with previous version 0.3.0 dated 2018-12-18

Title: 'RStudio' Add-in to Insert Markdown Citations
Description: Functions and an 'RStudio' add-in that search 'Bib(La)TeX'-files or 'Zotero' libraries (via the 'Better BibTeX' plugin) to insert formatted Markdown citations into the current document.
Author: Frederik Aust [aut, cre] (<https://orcid.org/0000-0003-4900-788X>), Yihui Xie [ctb], Robin Lovelace [ctb], Garrick Aden-Buie [ctb]
Maintainer: Frederik Aust <frederik.aust@uni-koeln.de>

Diff between citr versions 0.3.0 dated 2018-12-18 and 0.3.1 dated 2019-08-06

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Package DPWeibull (with last version 1.3) was removed from CRAN

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

2019-02-01 1.3
2018-03-22 1.2

Permanent link
Package transport updated to version 0.12-0 with previous version 0.11-2 dated 2019-07-06

Title: Computation of Optimal Transport Plans and Wasserstein Distances
Description: Solve optimal transport problems. Compute Wasserstein distances (a.k.a. Kantorovitch, Fortet--Mourier, Mallows, Earth Mover's, or minimal L_p distances), return the corresponding transference plans, and display them graphically. Objects that can be compared include grey-scale images, (weighted) point patterns, and mass vectors.
Author: Dominic Schuhmacher [aut, cre], Björn Bähre [aut] (aha and power diagrams), Nicolas Bonneel [aut] (networkflow), Carsten Gottschlich [aut] (simplex and shortlist), Valentin Hartmann [aut] (semidiscrete1), Florian Heinemann [aut] (transport_track and networkflow integration), Bernhard Schmitzer [aut] (shielding), Jörn Schrieber [aut] (subsampling), Timo Wilm [ctb] (wpp)
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>

Diff between transport versions 0.11-2 dated 2019-07-06 and 0.12-0 dated 2019-08-06

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Package SemNetCleaner updated to version 1.1.0 with previous version 1.0.0 dated 2019-07-01

Title: An Automated Cleaning Tool for Semantic and Linguistic Data
Description: Implements several functions that automates the cleaning and spell-checking of text data. Also converges, finalizes, removes plurals and continuous strings, and puts text data in binary format for semantic network analysis. Uses the 'SemNetDictionaries' package to make the cleaning process more accurate, efficient, and reproducible.
Author: Alexander P. Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>)
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

Diff between SemNetCleaner versions 1.0.0 dated 2019-07-01 and 1.1.0 dated 2019-08-06

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