Mon, 05 Mar 2018

Package simsurv updated to version 0.2.0 with previous version 0.1.0 dated 2017-07-27

Title: Simulate Survival Data
Description: Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or some transformation of time. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions. If the user wishes to provide a user-defined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closed-form solution. Note that this package is modelled on the 'survsim' package available in the 'Stata' software (see Crowther and Lambert (2012) <http://www.stata-journal.com/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).
Author: Sam Brilleman [cre, aut, cph]
Maintainer: Sam Brilleman <sam.brilleman@monash.edu>

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Package PWFSLSmoke updated to version 1.0.16 with previous version 1.0.10 dated 2018-01-17

Title: Utilities for Working with Air Quality Monitoring Data
Description: Utilities for working with air quality monitoring data with a focus on small particulates (PM2.5) generated by wildfire smoke. Functions are provided for downloading available data from the United States 'EPA' <https://www.epa.gov/outdoor-air-quality-data> and it's 'AirNow' air quality site <https://www.airnow.gov>. Additional sources of PM2.5 data made accessible by the package include: 'AIRSIS' (password protected) <https://www.oceaneering.com/data-management/> and 'WRCC' <https://wrcc.dri.edu/cgi-bin/smoke.pl>. Pre-generated data compilations are provided by 'PWFSL' <https://www.fs.fed.us/pnw/pwfsl/>.
Author: Jonathan Callahan [aut, cre], Rohan Aras [aut], Zach Dingels [aut], Jon Hagg [aut], Jimin Kim [aut], Helen Miller [aut], Rex Thompson [aut], Alice Yang [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package jcolors updated to version 0.0.2 with previous version 0.0.1 dated 2017-07-08

Title: Colors Palettes for R and 'ggplot2', Additional Themes for 'ggplot2'
Description: Contains a selection of color palettes and 'ggplot2' themes designed by the package author.
Author: Jared Huling [aut, cre]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package Rdimtools updated to version 0.3.2 with previous version 0.3.1 dated 2018-02-06

Title: Dimension Reduction and Estimation Methods
Description: We provide linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on dimensionality techniques, see the paper by Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in statistical approach, or Engel, Huttenberger, and Hamann (2012) <doi:10.4230/OASIcs.VLUDS.2011.135> for a broader multi-disciplinary overview.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyou@nd.edu>

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Package metaplot updated to version 0.4.6 with previous version 0.4.4 dated 2018-02-20

Title: Data-Driven Diagnostic Plots
Description: Designs plots in terms of core structure. See 'example(metaplot)'. Primary arguments are (unquoted) column names; order and type (numeric or not) dictate the resulting plot. Specify any y variables, x variable, any groups variable, and any conditioning variables to metaplot() to generate density plots, boxplots, mosaic plots, scatterplots, scatterplot matrices, or conditioned plots. Use multiplot() to arrange plots in grids. Wherever present, scalar column attributes 'label' and 'guide' are honored, producing fully annotated plots with minimal effort. Attribute 'guide' is typically units, but may be encoded() to provide interpretations of categorical values (see '?encode'). Utility unpack() transforms scalar column attributes to row values and pack() does the reverse, supporting tool-neutral storage of metadata along with primary data. The package supports customizable aesthetics such as such as reference lines, unity lines, smooths, log transformation, and linear fits. Compact syntax and integrated metadata promote workflow scalability.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package rgr updated to version 1.1.15 with previous version 1.1.14 dated 2017-08-25

Title: Applied Geochemistry EDA
Description: Geological Survey of Canada (GSC) functions for exploratory data analysis with applied geochemical data, with special application to the estimation of background ranges and identification of outliers, 'anomalies', to support mineral exploration and environmental studies. Additional functions are provided to support analytical data QA/QC, ANOVA for investigations of field sampling and analytical variability, and utility tasks. NOTE: function caplot() for concentration-area plots employs package 'akima', however, 'akima' is only licensed for not-for-profit use. Therefore, not-for-profit users of 'rgr' will have to independently make package 'akima' available through library(....); and use of function caplot() by for-profit users will fail.
Author: Robert G. Garrett
Maintainer: Robert G. Garrett <robert.garrett@canada.ca>

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Package miceExt updated to version 1.1.0 with previous version 1.0.0 dated 2018-02-09

Title: Extension Package to 'mice'
Description: Extends and builds on the 'mice' package by adding a functionality to perform multivariate predictive mean matching on imputed data as well as new functionalities to perform predictive mean matching on factor variables.
Author: Tobias Schumacher [aut, cre], Philipp Gaffert [aut], Stef van Buuren [ctb], Karin Groothuis-Oudshoorn [ctb]
Maintainer: Tobias Schumacher <tobias.schumacher1@rwth-aachen.de>

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More information about miceExt at CRAN
Permanent link

Package sommer updated to version 3.3 with previous version 3.2 dated 2018-01-09

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for multiple random effects allowing the specification of variance-covariance structures for random effects and allowing the fit of heterogeneous variance models (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson, and Efficient Mixed Model Association algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) to include multiple relationship matrices or other covariance structures.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between sommer versions 3.2 dated 2018-01-09 and 3.3 dated 2018-03-05

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Package vowels updated to version 1.2-2 with previous version 1.2-1 dated 2014-11-15

Title: Vowel Manipulation, Normalization, and Plotting
Description: Procedures for the manipulation, normalization, and plotting of phonetic and sociophonetic vowel formant data. vowels is the backend for the NORM website.
Author: Tyler Kendall and Erik R. Thomas
Maintainer: Tyler Kendall <tsk@uoregon.edu>

Diff between vowels versions 1.2-1 dated 2014-11-15 and 1.2-2 dated 2018-03-05

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Package AMModels updated to version 0.1.3 with previous version 0.1.2 dated 2017-02-21

Title: Adaptive Management Model Manager
Description: Helps enable adaptive management by codifying knowledge in the form of models generated from numerous analyses and data sets. Facilitates this process by storing all models and data sets in a single object that can be updated and saved, thus tracking changes in knowledge through time. A shiny application called AM Model Manager (modelMgr()) enables the use of these functions via a GUI.
Author: Jon Katz <jonkatz4@gmail.com>, Therese Donovan <tdonovan@uvm.edu>
Maintainer: Jon Katz <jonkatz4@gmail.com>

Diff between AMModels versions 0.1.2 dated 2017-02-21 and 0.1.3 dated 2018-03-05

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Package adfExplorer updated to version 0.1.4 with previous version 0.1.2 dated 2017-11-03

Title: Import from and Export to Amiga Disk Files
Description: Amiga Disk Files (ADF) are virtual representations of 3.5 inch floppy disks for the Commodore Amiga. Most disk drives from other systems (including modern drives) are not able to read these disks. To be able to emulate this system, the ADF format was created. This package enables you to read ADF files and import and export files from and to such virtual DOS-formatted disks.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between adfExplorer versions 0.1.2 dated 2017-11-03 and 0.1.4 dated 2018-03-05

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Permanent link

New package matrixTests with initial version 0.1.0
Package: matrixTests
Title: Fast Statistical Hypothesis Tests on Rows and Columns of Matrices
Version: 0.1.0
Authors@R: person("Karolis", "Koncevičius", email = "karolis.koncevicius@gmail.com", role = c("aut", "cre"))
Maintainer: Karolis Koncevičius <karolis.koncevicius@gmail.com>
Description: Functions to perform fast statistical hypothesis tests on rows/columns of matrices. The main goals are: 1) speed via vectorization, 2) output that is detailed and easy to use, 3) compatibility with tests implemented in R (like those available in the 'stats' package).
Depends: R (>= 3.2.2)
Imports: matrixStats
Suggests: testthat
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/KKPMW/matrixTests
BugReports: https://github.com/KKPMW/matrixTests/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-05 19:25:36 UTC; karolis
Author: Karolis Koncevičius [aut, cre]
Repository: CRAN
Date/Publication: 2018-03-05 20:12:30 UTC

More information about matrixTests at CRAN
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Package itunesr updated to version 0.1.1 with previous version 0.1 dated 2017-08-05

Title: Access iTunes App Store Ratings and Reviews using R
Description: To enable 'iOS' App Developers to access iTunes App Store Ratings and Reviews using R to extract Basic App Information and Reviews submitted by their App users, Since Apple Store does not provide this straightforward.
Author: AbdulMajedRaja R [aut, cre]
Maintainer: AbdulMajedRaja R <amrrs.data@gmail.com>

Diff between itunesr versions 0.1 dated 2017-08-05 and 0.1.1 dated 2018-03-05

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New package forestr with initial version 1.0.1
Package: forestr
Type: Package
Version: 1.0.1
Title: Ecosystem and Canopy Structural Complexity Metrics from LiDAR
Authors@R: c(person("Jeff", "Atkins", email = "jwatkins6@vcu.edu", role = c("aut", "cre")), person("Gil", "Bohrer", role = "aut"), person("Robert", "Fahey", role = "aut"), person("Brady", "Hardiman", role = "aut"), person("Chrisopher", "Gough", role = "aut"), person("Timothy", "Morin", role = "aut"), person("Atticus", "Stovall", role = "aut"), person("Naupaka", "Zimmerman", role = "aut"))
Author: Jeff Atkins [aut, cre], Gil Bohrer [aut], Robert Fahey [aut], Brady Hardiman [aut], Chrisopher Gough [aut], Timothy Morin [aut], Atticus Stovall [aut], Naupaka Zimmerman [aut]
URL: https://github.com/atkinsjeff/forestr
Maintainer: Jeff Atkins <jwatkins6@vcu.edu>
Description: Provides a toolkit for calculating forest and canopy structural complexity metrics from terrestrial LiDAR (light detection and ranging). References: Atkins et al. In Review; Hardiman et al. 2013 <doi:10.3390/f4030537>; Parker et al. 2004 <doi:10.1111/j.0021-8901.2004.00925.x>.
Depends: R (>= 3.1.2)
Imports: ggplot2, plyr, dplyr, stats, tools
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-05 14:30:56 UTC; jeffatkins81
Repository: CRAN
Date/Publication: 2018-03-05 20:02:28 UTC

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New package DHS.rates with initial version 0.1.0
Package: DHS.rates
Type: Package
Title: Calculate Key DHS Indicators
Version: 0.1.0
Date: 2018-03-01
Author: Mahmoud Elkasabi
Maintainer: Mahmoud Elkasabi <mahmoud.elkasabi@icf.com>
Description: Calculates key indicators such as fertility rates (Total Fertility Rate (TFR), General Fertility Rate (GFR), and Age Specific Fertility Rate (ASFR)) using Demographic and Health Survey (DHS) women/individual data. In addition to the indicators, the 'DHS.rates' package estimates precision indicators such as Standard Error (SE), Design Effect (DEFT), Relative Standard Error (RSE) and Confidence Interval (CI). The package is developed according to the DHS methodology of calculating the fertility indicators outlined in the "DHS Guide to Statistics" (Rutstein and Guillermo 2006, <http://dhsprogram.com/pubs/pdf/DHSG1/Guide_to_DHS_Statistics_29Oct2012_DHSG1.pdf>) and the DHS methodology of estimating the precision indicators outlined in the "DHS Sampling and Household Listing Manual" (ICF International 2012, <https://dhsprogram.com/pubs/pdf/DHSM4/DHS6_Sampling_Manual_Sept2012_DHSM4.pdf>).
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.4.0)
Imports: reshape, survey, stats
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-05 19:47:41 UTC; 31672
Repository: CRAN
Date/Publication: 2018-03-05 20:22:21 UTC

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New package DAP with initial version 1.0
Package: DAP
Type: Package
Title: Discriminant Analysis via Projections
Version: 1.0
Date: 2018-03-05
Author: Tianying Wang and Irina Gaynanova
Maintainer: Tianying Wang <tianying@stat.tamu.edu>
Description: An implementation of Discriminant Analysis via Projections (DAP) method for high-dimensional binary classification in the case of unequal covariance matrices. See Irina Gaynanova and Tianying Wang (2018) <arXiv:1711.04817v2>.
License: GPL (>= 2)
Imports: MASS, stats
LazyData: TRUE
URL: http://github.com/irinagain/DAP
BugReports: http://github.com/irinagain/DAP/issues
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-03-05 18:56:56 UTC; tianying
Repository: CRAN
Date/Publication: 2018-03-05 20:05:33 UTC

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Package rtkore updated to version 1.5.1 with previous version 1.5.0 dated 2018-01-23

Title: 'STK++' Core Library Integration to 'R' using 'Rcpp'
Description: 'STK++' <http://www.stkpp.org> is a collection of C++ classes for statistics, clustering, linear algebra, arrays (with an 'Eigen'-like API), regression, dimension reduction, etc. The integration of the library to 'R' is using 'Rcpp'. The 'rtkore' package includes the header files from the 'STK++' core library. All files contain only template classes and/or inline functions. 'STK++' is licensed under the GNU LGPL version 2 or later. 'rtkore' (the 'stkpp' integration into 'R') is licensed under the GNU GPL version 2 or later. See file LICENSE.note for details.
Author: Serge Iovleff [aut, cre], Parmeet Bhatia [ctb]
Maintainer: Serge Iovleff <serge.iovleff@stkpp.org>

Diff between rtkore versions 1.5.0 dated 2018-01-23 and 1.5.1 dated 2018-03-05

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Package quanteda updated to version 1.1.0 with previous version 1.0.0 dated 2018-01-28

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and ngrams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.
Author: Kenneth Benoit [aut, cre, cph], Kohei Watanabe [ctb], Paul Nulty [ctb], Adam Obeng [ctb], Haiyan Wang [ctb], Stefan Müller [ctb], Benjamin Lauderdale [ctb], Will Lowe [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda versions 1.0.0 dated 2018-01-28 and 1.1.0 dated 2018-03-05

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More information about quanteda at CRAN
Permanent link

New package pbm with initial version 1.1.0
Package: pbm
Title: Protein Binding Models
Version: 1.1.0
Authors@R: person("Jonathan", "Davies", email = "jd769@bath.ac.uk", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4986-8594"))
Description: Binding models which are useful when analysing protein-ligand interactions by techniques such as Biolayer Interferometry (BLI) or Surface Plasmon Resonance (SPR). Naman B. Shah, Thomas M. Duncan (2014) <doi:10.3791/51383>. Hoang H. Nguyen et al. (2015) <doi:10.3390/s150510481>. After initial binding parameters are known, binding curves can be simulated and parameters can be varied. The models within this package may also be used to fit a curve to measured binding data using non-linear regression.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/jonathanrd/pbm
BugReports: https://github.com/jonathanrd/pbm/issues
LazyData: true
RoxygenNote: 6.0.1.9000
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-05 11:29:43 UTC; jonathan
Author: Jonathan Davies [aut, cre] (<https://orcid.org/0000-0002-4986-8594>)
Maintainer: Jonathan Davies <jd769@bath.ac.uk>
Repository: CRAN
Date/Publication: 2018-03-05 20:00:04 UTC

More information about pbm at CRAN
Permanent link

New package GRANBase with initial version 1.6.8
Package: GRANBase
Type: Package
Title: Creating Continuously Integrated Package Repositories from Manifests
Version: 1.6.8
Author: Gabriel Becker[aut,cre], Cory Barr [cre,ctb], Dinakar Kulkarni [aut,ctb]
Maintainer: Gabriel Becker <becker.gabriel@gene.com>
Copyright: Genentech Inc
Description: Repository based tools for department and analysis level reproducibility. 'GRANBase' allows creation of custom branched, continuous integration-ready R repositories, including incremental testing of only packages which have changed versions since the last repository build.
License: Artistic-2.0
Imports: tools, utils, htmlTable (>= 1.11.0), dplyr, sendmailR, covr, RCurl, jsonlite, stringi, hexSticker, stats
Depends: R (>= 3.1.0), switchr (>= 0.9.28), methods
Suggests: parallel, BiocStyle, RUnit
SystemRequirements: svn, git
URL: https://github.com/gmbecker/gRAN
BugReports: https://github.com/gmbecker/gRAN/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-05 19:21:39 UTC; beckerg4
Repository: CRAN
Date/Publication: 2018-03-05 19:36:50 UTC

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Permanent link

Package gepaf updated to version 0.1.1 with previous version 0.1.0 dated 2016-05-04

Title: Google Encoded Polyline Algorithm Format
Description: Encode and decode the Google Encoded Polyline Algorithm Format (<https://developers.google.com/maps/documentation/utilities/polylinealgorithm>).
Author: Matthieu Viry [aut], Timothée Giraud [ctb, cre]
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

Diff between gepaf versions 0.1.0 dated 2016-05-04 and 0.1.1 dated 2018-03-05

 DESCRIPTION           |   14 +++++++-------
 MD5                   |   11 ++++++-----
 NEWS                  |only
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 man/decodePolyline.Rd |    1 -
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More information about gepaf at CRAN
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New package elections with initial version 1.0
Package: elections
Version: 1.0
Date: 2018-03-02
Title: USA Presidential Elections Data
Author: Willem M. van der Wal <willem@vanderwalresearch.com>
Maintainer: Willem M. van der Wal <willem@vanderwalresearch.com>
Depends: R (>= 3.0.0)
Description: This includes a dataset on the outcomes of the USA presidential elections since 1920, and various predictors, as used in <http://vanderwalresearch.com/blog/15-elections>.
Encoding: latin1
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-03-04 20:51:31 UTC; wmvdw
Repository: CRAN
Date/Publication: 2018-03-05 19:50:52 UTC

More information about elections at CRAN
Permanent link

Package dtwclust updated to version 5.3.0 with previous version 5.2.0 dated 2018-01-29

Title: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance
Description: Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions. Implementations of DTW barycenter averaging and a distance based on global alignment kernels are also provided. All included distance functions have custom loops optimized for the calculation of cross-distance matrices, including parallelization support. Several cluster validity indices are included.
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>

Diff between dtwclust versions 5.2.0 dated 2018-01-29 and 5.3.0 dated 2018-03-05

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 dtwclust-5.3.0/dtwclust/src/centroids/dba.cpp                                  |   18 
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 110 files changed, 4689 insertions(+), 4697 deletions(-)

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New package belg with initial version 0.1.0
Package: belg
Title: Boltzmann Entropy of a Landscape Gradient
Version: 0.1.0
Description: Calculates the Boltzmann entropy of a landscape gradient. It uses the analytical method created by Gao, P., Zhang, H. and Li, Z., 2018 (<doi:10.1111/tgis.12315>).
Authors@R: c(person("Jakub", "Nowosad", email = "nowosad.jakub@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1057-3721")), person("Space Informatics Lab", role = c("cph")) )
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 6.0.1.9000
Depends: R (>= 3.3.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
Suggests: testthat, sp, raster, covr
URL: https://github.com/Nowosad/belg
BugReports: https://github.com/Nowosad/belg/issues
NeedsCompilation: yes
Packaged: 2018-03-03 16:20:34 UTC; jn
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Space Informatics Lab [cph]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-05 19:07:27 UTC

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Package Barycenter updated to version 1.3 with previous version 1.2 dated 2017-09-04

Title: Regularized Wasserstein Distances and Barycenters
Description: Computations of Sinkhorn Distances (upper bounds to the Wasserstein Distance a.k.a. Earth Mover's Distance) and regularized Wasserstein Barycenters. Relevant papers are Marco Cuturi (2013) <arXiv:1306.0895>, Marco Cuturi (2014) <arXiv:1310.4375> and Jason Altschuler et al. <arXiv:1705.09634>. To speed up the computation time the main iteration steps are based on 'RcppArmadillo'.
Author: Marcel Klatt
Maintainer: Marcel Klatt <marcel.klatt@stud.uni-goettingen.de>

Diff between Barycenter versions 1.2 dated 2017-09-04 and 1.3 dated 2018-03-05

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 17 files changed, 96 insertions(+), 84 deletions(-)

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Package arc updated to version 1.1.4 with previous version 1.1.3 dated 2017-11-15

Title: Association Rule Classification
Description: Implements the Classification-based on Association Rules (CBA) (Bing Liu, Wynne Hsu, Yiming Ma (1999) <http://dl.acm.org/citation.cfm?id=3000292.3000305>) algorithm for association rule classification (ARC). The package also contains several convenience methods that allow to automatically set CBA parameters (minimum confidence, minimum support) and it also natively handles numeric attributes by integrating a pre-discretization step. The rule generation phase is handled by the 'arules' package. To further decrease the size of the CBA models produced by the 'arc' package, postprocessing by the 'qCBA' package is suggested.
Author: Tomas Kliegr [aut, cre]
Maintainer: Tomas Kliegr <kliegr@gmail.com>

Diff between arc versions 1.1.3 dated 2017-11-15 and 1.1.4 dated 2018-03-05

 DESCRIPTION         |   19 +++++++++++++------
 MD5                 |   17 +++++++++--------
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 10 files changed, 29 insertions(+), 19 deletions(-)

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New package OptimClassifier with initial version 0.1.0
Package: OptimClassifier
Title: Create the Best Train for Classification Models
Version: 0.1.0
Authors@R: c( person("Agustín", "Pérez-Martín", email = "agustin.perez@umh.es", role = "aut", comment = c(ORCID = "0000-0003-4994-3176")), person("Agustín", "Pérez-Torregrosa", email = "agustin.perez01@goumh.umh.es", role = "cre", comment = c(ORCID = "0000-0001-5658-4795")), person("Marta","Vaca-Lamata", email="mvaca@umh.es",role="aut", comment = c(ORCID = "0000-0001-8496-5579")), person("Antonio José","Verdú-Jover", email="ajverdu@umh.es",role="aut", comment = c(ORCID = "0000-0002-6201-7196")) )
Description: Patterns searching and binary classification in economic and financial data is a large field of research. There are a large part of the data that the target variable is binary. Nowadays, many methodologies are used, this package collects most popular and compare different configuration options for Linear Models (LM), Generalized Linear Models (GLM), Linear Mixed Models (LMM), Discriminant Analysis (DA), Classification And Regression Trees (CART), Neural Networks (NN) and Support Vector Machines (SVM).
Depends: R (>= 3.2.3)
License: GPL (>= 2)
Imports: crayon, dplyr, MASS, lme4, rpart, nnet, e1071, car, nortest, clisymbols
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2018-03-03 09:25:08 UTC; agustin
Author: Agustín Pérez-Martín [aut] (<https://orcid.org/0000-0003-4994-3176>), Agustín Pérez-Torregrosa [cre] (<https://orcid.org/0000-0001-5658-4795>), Marta Vaca-Lamata [aut] (<https://orcid.org/0000-0001-8496-5579>), Antonio José Verdú-Jover [aut] (<https://orcid.org/0000-0002-6201-7196>)
Maintainer: Agustín Pérez-Torregrosa <agustin.perez01@goumh.umh.es>
Repository: CRAN
Date/Publication: 2018-03-05 18:46:53 UTC

More information about OptimClassifier at CRAN
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New package NormExpression with initial version 0.1.0
Package: NormExpression
Type: Package
Title: Normalize Gene Expression Data using Evaluated Methods
Version: 0.1.0
Author: Zhenfeng Wu , Shan Gao
Maintainer: Shan Gao <gao_shan@mail.nankai.edu.cn>
Description: It provides a framework and a fast and simple way for researchers to evaluate methods (particularly some data-driven methods or their own methods) and then select a best one for data normalization in the gene expression analysis, based on the consistency of metrics and the consistency of datasets. Zhenfeng Wu, Weixiang Liu, Xiufeng Jin, Deshui Yu, Hua Wang, Gustavo Glusman, Max Robinson, Lin Liu, Jishou Ruan and Shan Gao (2018) <doi:10.1101/251140>.
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-03-03 02:43:36 UTC; gaoshan
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2018-03-05 18:38:58 UTC

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Package ecospace updated to version 1.3.1 with previous version 1.2.3 dated 2018-02-18

Title: Simulating Community Assembly and Ecological Diversification Using Ecospace Frameworks
Description: Implements stochastic simulations of community assembly (ecological diversification) using customizable ecospace frameworks (functional trait spaces). Provides a wrapper to calculate common ecological disparity and functional ecology statistical dynamics as a function of species richness. Functions are written so they will work in a parallel-computing environment.
Author: Phil Novack-Gottshall [aut, cre]
Maintainer: Phil Novack-Gottshall <pnovack-gottshall@ben.edu>

Diff between ecospace versions 1.2.3 dated 2018-02-18 and 1.3.1 dated 2018-03-05

 DESCRIPTION            |    8 +-
 MD5                    |   36 +++++------
 R/calc_metrics.R       |  114 ++++++++++++++++++++++++----------
 R/create_ecospace.R    |  160 +++++++++++++++++++++++++++++++------------------
 R/expansion.R          |   65 ++++++++++++-------
 R/neutral.R            |   20 +++---
 R/partitioning.R       |   73 ++++++++++++++--------
 R/prep_data.R          |   41 +++++++++---
 R/rbind_listdf.R       |   30 ++++-----
 R/redundancy.R         |   28 +++++---
 R/sample2.R            |    3 
 R/unique2.R            |    5 -
 inst/NEWS.Rd           |   15 ++++
 inst/doc/ecospace.Rmd  |    8 --
 inst/doc/ecospace.html |   25 +------
 man/calc_metrics.Rd    |    4 -
 man/create_ecospace.Rd |   18 +++--
 man/rbind_listdf.Rd    |    5 -
 vignettes/ecospace.Rmd |    8 --
 19 files changed, 410 insertions(+), 256 deletions(-)

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New package smovie with initial version 1.0.0
Package: smovie
Type: Package
Title: Some Movies to Illustrate Concepts in Statistics
Version: 1.0.0
Date: 2018-03-02
Authors@R: person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk", role = c("aut", "cre", "cph"))
Description: Provides movies to help students to understand statistical concepts. The 'rpanel' package <https://cran.r-project.org/package=rpanel> is used to create interactive plots that move to illustrate key statistical ideas and methods. There are movies to: visualise probability distributions (including user-supplied ones); illustrate sampling distributions of the sample mean (central limit theorem), the sample maximum (extremal types theorem) and (the Fisher transformation of the) Pearson product moment correlation coefficient; examine the influence of an individual observation in simple linear regression; illustrate key concepts in statistical hypothesis testing. Also provided are dpqr functions for the distribution of the Fisher transformation of the correlation coefficient under sampling from a bivariate normal distribution.
Depends: R (>= 3.3.0), rpanel (>= 1.1-3)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.0.1
Imports: graphics, methods, revdbayes (>= 1.3.2), stats, SuppDists
Suggests: knitr, numDeriv, tkrplot, testthat, rmarkdown
VignetteBuilder: knitr
URL: http://github.com/paulnorthrop/smovie
BugReports: http://github.com/paulnorthrop/smovie/issues
NeedsCompilation: no
Packaged: 2018-03-02 20:41:24 UTC; paul
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2018-03-05 17:31:24 UTC

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Permanent link

New package ppitables with initial version 0.1.2
Package: ppitables
Type: Package
Title: Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)
Version: 0.1.2
Authors@R: person("Ernest", "Guevarra", comment = c(ORCID = "0000-0002-4887-4415"), email = "ernestgmd@gmail.com", role = c("aut", "cre"))
Description: The Poverty Probability Index (PPI) is a poverty measurement tool for organizations and businesses with a mission to serve the poor. The PPI is statistically-sound, yet simple to use: the answers to 10 questions about a household’s characteristics and asset ownership are scored to compute the likelihood that the household is living below the poverty line – or above by only a narrow margin. This package contains country-specific lookup data tables used as reference to determine the poverty likelihood of a household based on their score from the country-specific PPI questionnaire. These lookup tables have been extracted from documentation of the PPI found at <https://www.povertyindex.org> and managed by Innovations for Poverty Action <https://www.poverty-action.org>.
Depends: R (>= 2.10)
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/validmeasures/ppitables
BugReports: https://github.com/validmeasures/ppitables/issues
NeedsCompilation: no
Packaged: 2018-03-03 04:45:12 UTC; ernest
Author: Ernest Guevarra [aut, cre] (<https://orcid.org/0000-0002-4887-4415>)
Maintainer: Ernest Guevarra <ernestgmd@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-05 17:37:07 UTC

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Package edpclient updated to version 0.3.1 with previous version 0.2.0 dated 2017-08-24

Title: Empirical Data Platform Client
Description: R client for Empirical Data Platform. More information is at <https://empirical.com>. For support, contact support@empirical.com.
Author: Empirical Engineering
Maintainer: Madeleine Thompson <madeleine@empirical.com>

Diff between edpclient versions 0.2.0 dated 2017-08-24 and 0.3.1 dated 2018-03-05

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Package ndjson updated to version 0.6.0 with previous version 0.5.0 dated 2017-06-28

Title: Wicked-Fast Streaming 'JSON' ('ndjson') Reader
Description: Streaming 'JSON' ('ndjson') has one 'JSON' record per-line and many modern 'ndjson' files contain large numbers of records. These constructs may not be columnar in nature, but it is often useful to read in these files and "flatten" the structure out to enable working with the data in an R 'data.frame'-like context. Functions are provided that make it possible to read in plain 'ndjson' files or compressed ('gz') 'ndjson' files and either validate the format of the records or create "flat" 'data.table' structures from them.
Author: Bob Rudis (bob@rud.is), Niels Lohmann (C++ json parser), Deepak Bandyopadhyay (C++ gzstream), Lutz Kettner (C++ gzstream)
Maintainer: Bob Rudis <bob@rud.is>

Diff between ndjson versions 0.5.0 dated 2017-06-28 and 0.6.0 dated 2018-03-05

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Package funrar updated to version 1.2.2 with previous version 1.2.1 dated 2018-02-19

Title: Functional Rarity Indices Computation
Description: Computes functional rarity indices as proposed by Violle et al. (2017) <doi:10.1016/j.tree.2017.02.002>. Various indices can be computed using both regional and local information. Functional Rarity combines both the functional aspect of rarity as well as the extent aspect of rarity. 'funrar' is presented in Grenié et al. (2017) <doi:10.1111/ddi.12629>.
Author: Matthias Grenié [aut, cre] (<https://orcid.org/0000-0002-4659-7522>), Pierre Denelle [aut] (<https://orcid.org/0000-0001-5037-2281>), Caroline Tucker [aut] (<https://orcid.org/0000-0002-4871-2010>), François Munoz [ths] (<https://orcid.org/0000-0001-8776-4705>), Cyrille Violle [ths] (<https://orcid.org/0000-0002-2471-9226>)
Maintainer: Matthias Grenié <matthias.grenie@gmail.com>

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New package tidyimpute with initial version 0.1.0
Package: tidyimpute
Title: Imputation the Tidyverse Way
Version: 0.1.0
Date: 2018-02-01
Authors@R: c( person("Christopher", "Brown", , "chris.brown@decisionpatterns.com", c("aut", "cre") ), person("Decision Patterns", role = "cph") )
URL: https://github.com/decisionpatterns/tidyimpute
Description: Functions and methods for imputing missing values (NA) in tables and list patterned after the tidyverse approach of 'dplyr' and 'rlang'; works with data.tables as well.
BugReports: https://github.com/decisionpatterns/tidyimpute/issues
Depends: R (>= 3.1.0)
Imports: methods, dplyr (>= 0.7.2), rlang (>= 0.1.2), na.tools (>= 0.1.0)
Suggests: testthat (>= 1.0.2), data.table (>= 1.10), magrittr
License: GPL-3 | file LICENSE
LazyData: true
RoxygenNote: 6.0.1.9000
Repository: CRAN
Encoding: UTF-8
Collate: 'data.R' 'drop_cols.R' 'drop_rows.R' 'impute.R' 'make_impute.R' 'utils.R' 'impute_funs.R' 'na_predict.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2018-03-04 22:46:09 UTC; cbrown
Author: Christopher Brown [aut, cre], Decision Patterns [cph]
Maintainer: Christopher Brown <chris.brown@decisionpatterns.com>
Date/Publication: 2018-03-05 11:46:49 UTC

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Package Rsomoclu updated to version 1.7.5.1 with previous version 1.7.5 dated 2018-03-03

Title: Somoclu
Description: Somoclu is a massively parallel implementation of self-organizing maps. It exploits multicore CPUs and it can be accelerated by CUDA. The topology of the map can be planar or toroid and the grid of neurons can be rectangular or hexagonal .
Author: Peter Wittek [aut], Shichao Gao [cre]
Maintainer: Shichao Gao <xgdgsc@gmail.com>

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Package hutils updated to version 1.0.0 with previous version 0.10.0 dated 2018-01-24

Title: Miscellaneous R Functions and Aliases
Description: Provides utility functions for, and drawing on, the 'data.table' package. The package also collates useful miscellaneous functions extending base R not available elsewhere. The name is a portmanteau of 'utils' and the author.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

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Package dbarts updated to version 0.9-1 with previous version 0.9-0 dated 2018-03-03

Title: Discrete Bayesian Additive Regression Trees Sampler
Description: Fits Bayesian additive regression trees (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) while allowing the updating of predictors or response so that BART can be incorporated as a conditional model in a Gibbs/MH sampler. Also serves as a drop-in replacement for package 'BayesTree'.
Author: Vincent Dorie [aut, cre], Hugh Chipman [aut], Robert McCulloch [aut]
Maintainer: Vincent Dorie <vdorie@gmail.com>

Diff between dbarts versions 0.9-0 dated 2018-03-03 and 0.9-1 dated 2018-03-05

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Package cdfquantreg updated to version 1.2.0 with previous version 1.1.3 dated 2017-08-28

Title: Quantile Regression for Random Variables on the Unit Interval
Description: Employs a two-parameter family of distributions for modelling random variables on the (0, 1) interval by applying the cumulative distribution function (cdf) of one parent distribution to the quantile function of another.
Author: Yiyun Shou [aut, cre], Michael Smithson [aut]
Maintainer: Yiyun Shou <yiyun.shou@anu.edu.au>

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Package sfsmisc updated to version 1.1-2 with previous version 1.1-1 dated 2017-06-08

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990's. For graphics, have pretty (Log-scale) axes, an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre], Werner Stahel [ctb] (Functions: compresid2way(), f.robftest(), last(), p.scales(), p.dnorm()), Andreas Ruckstuhl [ctb] (Functions: p.arrows(), p.profileTraces(), p.res.2x()), Christian Keller [ctb] (Functions: histBxp(), p.tachoPlot()), Kjetil Halvorsen [ctb] (Functions: KSd(), ecdf.ksCI()), Alain Hauser [ctb] (Functions: cairoSwd(), is.whole(), toLatex.numeric()*), Christoph Buser [ctb] (to function Duplicated()), Lorenz Gygax [ctb] (to function p.res.2fact()), Bill Venables [ctb] (Functions: empty.dimnames(), primes()), Tony Plate [ctb] (to inv.seq()), Isabelle Flckiger [ctb], Marcel Wolbers [ctb], Markus Keller [ctb], Sandrine Dudoit [ctb], Jane Fridlyand [ctb], Greg Snow [ctb] (to loessDemo()), Henrik Aa. Nielsen [ctb] (to loessDemo()), Vincent Carey [ctb], Ben Bolker [ctb], Philippe Grosjean [ctb], Frdric Ibanez [ctb], Caterina Savi [ctb], Charles Geyer [ctb], Jens Oehlschlgel [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package selectr updated to version 0.3-2 with previous version 0.3-1 dated 2016-12-19

Title: Translate CSS Selectors to XPath Expressions
Description: Translates a CSS3 selector into an equivalent XPath expression. This allows us to use CSS selectors when working with the XML package as it can only evaluate XPath expressions. Also provided are convenience functions useful for using CSS selectors on XML nodes. This package is a port of the Python package 'cssselect' (<https://pythonhosted.org/cssselect/>).
Author: Simon Potter [aut, trl, cre], Simon Sapin [aut], Ian Bicking [aut]
Maintainer: Simon Potter <simon@sjp.co.nz>

Diff between selectr versions 0.3-1 dated 2016-12-19 and 0.3-2 dated 2018-03-05

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Package rentrez updated to version 1.2.1 with previous version 1.2.0 dated 2018-02-11

Title: 'Entrez' in R
Description: Provides an R interface to the NCBI's 'EUtils' API, allowing users to search databases like 'GenBank' <https://www.ncbi.nlm.nih.gov/genbank/> and 'PubMed' <https://www.ncbi.nlm.nih.gov/pubmed/>, process the results of those searches and pull data into their R sessions.
Author: David Winter [aut, cre] (<https://orcid.org/0000-0002-6165-0029>), Scott Chamberlain [ctb] (<https://orcid.org/0000-0003-1444-9135>), Han Guangchun [ctb] (<https://orcid.org/0000-0001-9277-2507>)
Maintainer: David Winter <david.winter@gmail.com>

Diff between rentrez versions 1.2.0 dated 2018-02-11 and 1.2.1 dated 2018-03-05

 DESCRIPTION                    |   26 
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 NEWS                           |   10 
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 inst/doc/rentrez_tutorial.html | 1395 ++++++++++++++++++++++++++++-------------
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 tests/testthat/test_fetch.r    |    4 
 tests/testthat/test_summary.r  |    8 
 9 files changed, 1017 insertions(+), 477 deletions(-)

More information about rentrez at CRAN
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Package qdapDictionaries updated to version 1.0.7 with previous version 1.0.6 dated 2015-05-20

Title: Dictionaries and Word Lists for the 'qdap' Package
Description: A collection of text analysis dictionaries and word lists for use with the 'qdap' package.
Author: Tyler Rinker
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between qdapDictionaries versions 1.0.6 dated 2015-05-20 and 1.0.7 dated 2018-03-05

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More information about qdapDictionaries at CRAN
Permanent link

Package photobiology updated to version 0.9.19 with previous version 0.9.18-1 dated 2017-12-18

Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima. Conversion between energy- and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between photobiology versions 0.9.18-1 dated 2017-12-18 and 0.9.19 dated 2018-03-05

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More information about photobiology at CRAN
Permanent link

New package RCzechia with initial version 1.1.1
Package: RCzechia
Type: Package
Title: Spatial Objects of the Czech Republic
Version: 1.1.1
Date: 2018-03-02
Author: Jindra Lacko
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>
Description: Administrative regions, rivers and water bodies of the Czech Republic. Based on <https://www.arcdata.cz/produkty/geograficka-data/arccr-500>, originally created in 2016.
URL: https://github.com/jlacko/RCzechia
BugReports: https://github.com/jlacko/RCzechia/issues
License: MIT + file LICENSE
Copyright: ArcCR, ARCDATA PRAHA, ZU, CSU, 2016
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: httr
Suggests: tidyverse, sf, units, tmap, lwgeom, ggmap, knitr, testthat, roxygen2, devtools
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-02 14:47:38 UTC; jindra
Repository: CRAN
Date/Publication: 2018-03-05 10:37:12 UTC

More information about RCzechia at CRAN
Permanent link

Package difNLR updated to version 1.2.1 with previous version 1.1.1 dated 2017-08-29

Title: DIF and DDF Detection by Non-Linear Regression Models
Description: Detection of differential item functioning (DIF) among dichotomously scored items and differential distractor functioning (DDF) among unscored items with non-linear regression procedures based on generalized logistic regression models (Drabinova and Martinkova, 2017, <doi:10.1111/jedm.12158>).
Author: Adela Drabinova [aut, cre], Patricia Martinkova [aut], Karel Zvara [aut]
Maintainer: Adela Drabinova <drabinova@cs.cas.cz>

Diff between difNLR versions 1.1.1 dated 2017-08-29 and 1.2.1 dated 2018-03-05

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 NAMESPACE             |   14 
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 46 files changed, 2095 insertions(+), 929 deletions(-)

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Permanent link

New package caRamel with initial version 1.0
Package: caRamel
Type: Package
Title: Automatic Calibration by Evolutionary Multi Objective Algorithm
Version: 1.0
Date: 2018-03-02
Authors@R: c( person("Nicolas", "Le Moine", role = c("aut")), person("Celine", "Monteil", role = c("aut")), person("Frederic", "Hendrickx", role = c("ctb")), person("Fabrice", "Zaoui", role = c("aut", "cre"), email = "fabrice.zaoui@edf.fr") )
Author: Nicolas Le Moine [aut], Celine Monteil [aut], Frederic Hendrickx [ctb], Fabrice Zaoui [aut, cre]
Maintainer: Fabrice Zaoui <fabrice.zaoui@edf.fr>
Depends: geometry, parallel
Suggests: knitr, testthat
Description: Multi-objective optimizer initially developed for the calibration of hydrological models. The algorithm is a hybrid of the MEAS algorithm (Efstratiadis and Koutsoyiannis (2005) <doi:10.13140/RG.2.2.32963.81446>) by using the directional search method based on the simplexes of the objective space and the epsilon-NGSA-II algorithm with the method of classification of the parameter vectors archiving management by epsilon-dominance (Reed and Devireddy <doi:10.1142/9789812567796_0004>).
License: GPL-3
URL: https://github.com/fzao/caRamel
BugReports: https://github.com/fzao/caRamel/issues
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2018-03-02 17:50:25 UTC; I21149
Repository: CRAN
Date/Publication: 2018-03-05 10:45:37 UTC

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Permanent link

Package sybilSBML (with last version 3.0.1) was removed from CRAN

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

2017-01-12 3.0.1
2016-06-06 2.0.11
2015-07-20 2.0.10
2014-05-21 2.0.8
2013-11-28 2.0.7
2013-10-26 2.0.6
2013-09-08 2.0.5
2013-08-02 2.0.4
2013-05-30 2.0.3
2013-05-28 2.0.2
2013-01-16 1.1.16
2012-10-15 1.1.15
2012-07-06 1.1.14

Permanent link
Package m4fe (with last version 0.1) was removed from CRAN

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

2014-09-16 0.1

Permanent link
Package GSED updated to version 1.6 with previous version 1.5 dated 2017-05-18

Title: Group Sequential Enrichment Design
Description: Provides function to apply "Group sequential enrichment design incorporating subgroup selection" (GSED) method proposed by Magnusson and Turnbull (2013) <doi:10.1002/sim.5738>.
Author: Marie-Karelle Riviere
Maintainer: Marie-Karelle Riviere <eldamjh@gmail.com>

Diff between GSED versions 1.5 dated 2017-05-18 and 1.6 dated 2018-03-05

 DESCRIPTION         |   10 +++++-----
 MD5                 |    8 ++++----
 NAMESPACE           |    1 +
 R/GSED.R            |   45 +++++++++++++++++----------------------------
 man/GSED-package.Rd |    4 ++--
 5 files changed, 29 insertions(+), 39 deletions(-)

More information about GSED at CRAN
Permanent link

Package issueReporter (with last version 0.1.0) was removed from CRAN

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

2017-05-15 0.1.0

Permanent link
Package conformal (with last version 0.2) was removed from CRAN

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

2016-03-07 0.2
2015-01-21 0.1

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Package VBmix (with last version 0.3.2) was removed from CRAN

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2017-04-01 0.3.2
2015-08-24 0.3.1
2014-05-06 0.2.17
2014-02-04 0.2.16
2013-06-25 0.2.12
2013-06-25 0.2.13
2013-03-11 0.2.11
2012-12-17 0.2.10
2012-10-22 0.2.9
2012-09-08 0.2.8
2012-04-09 0.2.7
2011-10-11 0.2.6
2011-02-28 0.2.4
2011-02-28 0.2.5

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2016-07-12 0.9-2.1
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2016-05-06 1.0.0

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2016-06-14 0.75
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2010-07-25 0.4
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Package localdepth (with last version 0.5-7) was removed from CRAN

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2013-11-07 0.5-7
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2010-07-29 0.10
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Package lslx updated to version 0.6.2 with previous version 0.6.1 dated 2018-01-17

Title: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood
Description: Fits semi-confirmatory structural equation modeling (SEM) via penalized likelihood (PL) with lasso or minimax concave penalty (MCP).
Author: Po-Hsien Huang [cre, aut], Wen-Hsin Hu [aut]
Maintainer: Po-Hsien Huang <psyphh@gmail.com>

Diff between lslx versions 0.6.1 dated 2018-01-17 and 0.6.2 dated 2018-03-05

 DESCRIPTION           |   16 ++++++++--------
 MD5                   |    7 ++++---
 R/lslx-print-method.R |only
 R/lslxData.R          |    2 ++
 R/lslxModel.R         |    4 +++-
 5 files changed, 17 insertions(+), 12 deletions(-)

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