Tue, 11 Dec 2018

Package rsMove updated to version 0.2.7 with previous version 0.2.6 dated 2018-10-24

Title: Guidelines for the use of Remote Sensing in Movement Ecology
Description: Tools for the guided selection of satellite data and environmental predictors, the combination of remote sensing and animal movement data and the mapping of resource suitabilitz. Based on the paper by Remelgado et al. (2015) <doi:10.1002/rse2.70>.
Author: Ruben Remelgado [aut, cre]
Maintainer: Ruben Remelgado <remelgado.ruben@gmail.com>

Diff between rsMove versions 0.2.6 dated 2018-10-24 and 0.2.7 dated 2018-12-11

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Package RcppParallel updated to version 4.4.2 with previous version 4.4.1 dated 2018-07-19

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: JJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/), RStudio [cph], Intel [aut, cph] (Intel TBB library, https://www.threadingbuildingblocks.org/), Microsoft [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between RcppParallel versions 4.4.1 dated 2018-07-19 and 4.4.2 dated 2018-12-11

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Package parallelDist updated to version 0.2.3 with previous version 0.2.2 dated 2018-09-24

Title: Parallel Distance Matrix Computation using Multiple Threads
Description: A fast parallelized alternative to R's native 'dist' function to calculate distance matrices for continuous, binary, and multi-dimensional input matrices, which supports a broad variety of 41 predefined distance functions from the 'stats', 'proxy' and 'dtw' R packages, as well as user- defined functions written in C++. For ease of use, the 'parDist' function extends the signature of the 'dist' function and uses the same parameter naming conventions as distance methods of existing R packages. The package is mainly implemented in C++ and leverages the 'RcppParallel' package to parallelize the distance computations with the help of the 'TinyThread' library. Furthermore, the 'Armadillo' linear algebra library is used for optimized matrix operations during distance calculations. The curiously recurring template pattern (CRTP) technique is applied to avoid virtual functions, which improves the Dynamic Time Warping calculations while the implementation stays flexible enough to support different DTW step patterns and normalization methods.
Author: Alexander Eckert [aut, cre], Lucas Godoy [ctb], Srikanth KS [ctb]
Maintainer: Alexander Eckert <info@alexandereckert.com>

Diff between parallelDist versions 0.2.2 dated 2018-09-24 and 0.2.3 dated 2018-12-11

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Package glmm updated to version 1.3.0 with previous version 1.2.3 dated 2018-02-22

Title: Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation
Description: Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.
Author: Christina Knudson [aut, cre], Charles J. Geyer [ctb], Sydney Benson [ctb]
Maintainer: Christina Knudson <knud8583@stthomas.edu>

Diff between glmm versions 1.2.3 dated 2018-02-22 and 1.3.0 dated 2018-12-11

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Package fieldRS updated to version 0.2.1 with previous version 0.1.1 dated 2018-09-16

Title: Remote Sensing Field Work Tools
Description: In remote sensing, designing a field campaign to collect ground-truth data can be a challenging task. We need to collect representative samples while accounting for issues such as budget constraints and limited accessibility created by e.g. poor infrastructure. As suggested by Olofsson et al. (2014) <doi:10.1016/j.rse.2014.02.015>, this demands the establishment of best-practices to collect ground-truth data that avoid the waste of time and funds. 'fieldRS' addresses this issue by helping scientists and practitioners design field campaigns through the identification of priority sampling sites, the extraction of potential sampling plots and the conversion of plots into consistent training and validation samples that can be used in e.g. land cover classification.
Author: Ruben Remelgado [aut, cre]
Maintainer: Ruben Remelgado <remelgado.ruben@gmail.com>

Diff between fieldRS versions 0.1.1 dated 2018-09-16 and 0.2.1 dated 2018-12-11

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Package CsChange updated to version 0.1.5 with previous version 0.1.4 dated 2018-06-13

Title: Testing for Change in C-Statistic
Description: Calculate the confidence interval and p value for change in C-statistic. The adjusted C-statistic is calculated by using formula as "Somers' Dxy rank correlation"/2+0.5. The confidence interval was calculated by using the bootstrap method. The p value was calculated by using the Z testing method. Please refer to the article of Peter Ganz et al. (2016) <doi:10.1001/jama.2016.5951>.
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>

Diff between CsChange versions 0.1.4 dated 2018-06-13 and 0.1.5 dated 2018-12-11

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Package rbi updated to version 0.10.0 with previous version 0.9.1 dated 2018-05-14

Title: R Interface to LibBi
Description: Provides a complete R interface to LibBi, a library for Bayesian inference (see <http://libbi.org> and <doi:10.18637/jss.v067.i10> for more information). This includes functions for manipulating LibBi models, for reading and writing LibBi input/output files, for converting LibBi output to provide traces for use with the coda package, and for running LibBi from R.
Author: Pierre E. Jacob [aut], Anthony Lee [ctb], Lawrence M. Murray [ctb], Sebastian Funk [aut, cre], Sam Abbott [ctb]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

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Package MVar.pt updated to version 2.0.3 with previous version 2.0.2 dated 2018-06-13

Title: Analise multivariada (brazilian portuguese)
Description: Pacote para analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise de cluster hierarquico e nao hierarquico, regressao linear, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@des.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package diagmeta updated to version 0.3-0 with previous version 0.2-0 dated 2018-03-23

Title: Meta-Analysis of Diagnostic Accuracy Studies with Several Cutpoints
Description: Provides methods by Steinhauser et al. (2016) <DOI:10.1186/s12874-016-0196-1> for meta-analysis of diagnostic accuracy studies with several cutpoints.
Author: Gerta Rücker [aut], Susanne Steinhauser [aut], Srinath Kolampally [aut], Guido Schwarzer [aut, cre]
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

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Package MVar updated to version 2.0.3 with previous version 2.0.2 dated 2018-06-15

Title: Multivariate Analysis
Description: Package for multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), hierarchical and non-hierarchical cluster analysis, linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@des.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package osqp updated to version 0.5.0 with previous version 0.4.1 dated 2018-09-27

Title: Quadratic Programming Solver using the 'OSQP' Library
Description: Provides bindings to the 'OSQP' solver. The 'OSQP' solver is a numerical optimization package or solving convex quadratic programs written in 'C' and based on the alternating direction method of multipliers, 'ADMM'. B. Stellato, G. Banjac, P. Goulart, A. Bemporad, S. Boyd (2018) <arXiv:1711.08013>.
Author: Bartolomeo Stellato [cre, aut, ctb, cph], Goran Banjac [aut, ctb, cph], Paul Goulart [aut, ctb, cph], Stephen Boyd [aut, ctb, cph], Eric Anderson [ctb]
Maintainer: Bartolomeo Stellato <bartolomeo.stellato@gmail.com>

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Package ivtools updated to version 2.1.0 with previous version 2.0.0 dated 2018-11-05

Title: Instrumental Variables
Description: Contains tools for instrumental variables estimation. Currently, non-parametric bounds, two-stage estimation and G-estimation are implemented. Balke, A. and Pearl, J. (1997) <doi:10.2307/2965583>, Vansteelandt S., Bowden J., Babanezhad M., Goetghebeur E. (2011) <doi:10.1214/11-STS360>.
Author: Arvid Sjolander, Elisabeth Dahlqwist, Torben Martinussen
Maintainer: Arvid Sjolander <arvid.sjolander@ki.se>

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Package pdftools updated to version 2.0 with previous version 1.8 dated 2018-05-27

Title: Text Extraction, Rendering and Converting of PDF Documents
Description: Utilities based on 'libpoppler' for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents info PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package HCmodelSets updated to version 1.0.0 with previous version 0.2.1 dated 2018-11-27

Title: Regression with a Large Number of Potential Explanatory Variables
Description: Software for performing the reduction, exploratory and model selection phases of the procedure proposed by Cox, D.R. and Battey, H.S. (2017) <doi:10.1073/pnas.1703764114> for sparse regression when the number of potential explanatory variables far exceeds the sample size. The software supports linear regression, likelihood-based fitting of generalized linear regression models and the proportional hazards model fitted by partial likelihood.
Author: H. H. Hoeltgebaum
Maintainer: H. H. Hoeltgebaum <hh3015@ic.ac.uk>

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Package expss updated to version 0.8.10 with previous version 0.8.8 dated 2018-11-11

Title: Tables with Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics
Description: Package provides tabulation functions with support for 'SPSS'-style labels, multiple / nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', 'Shiny', R and 'Jupyter' notebooks, '*.xlsx' files. Proper methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package offers useful functions for data processing in marketing research / social surveys - popular data transformation functions from 'SPSS' Statistics ('RECODE', 'COUNT', 'COMPUTE', 'DO IF', etc.) and 'Excel' ('COUNTIF', 'VLOOKUP', etc.). Package is intended to help people to move data processing from 'Excel'/'SPSS' to R.
Author: Gregory Demin [aut, cre]
Maintainer: Gregory Demin <gdemin@gmail.com>

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Package MoEClust updated to version 1.2.1 with previous version 1.2.0 dated 2018-08-24

Title: Gaussian Parsimonious Clustering Models with Covariates
Description: Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2017) <arXiv:1711.05632>. This package fits finite Gaussian mixture models with a formula interface for supplying gating and/or expert network covariates using a range of parsimonious covariance parameterisations via the EM/CEM algorithm. Visualisation of the results of such models using generalised pairs plots is also facilitated.
Author: Keefe Murphy [aut, cre], Thomas Brendan Murphy [ctb]
Maintainer: Keefe Murphy <keefe.murphy@ucd.ie>

Diff between MoEClust versions 1.2.0 dated 2018-08-24 and 1.2.1 dated 2018-12-11

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Package miceadds updated to version 3.0-16 with previous version 2.15-22 dated 2018-10-19

Title: Some Additional Multiple Imputation Functions, Especially for 'mice'
Description: Contains functions for multiple imputation which complements existing functionality in R. In particular, several imputation methods for the mice package (van Buuren & Groothuis-Oudshoorn, 2011, <doi:10.18637/jss.v045.i03>) are included. Main features of the miceadds package include plausible value imputation (Mislevy, 1991, <doi:10.1007/BF02294457>), multilevel imputation for variables at any level or with any number of hierarchical and non-hierarchical levels (Grund, Luedtke & Robitzsch, 2018, <doi:10.1177/1094428117703686>; van Buuren, 2018, Ch.7, <doi:10.1201/9780429492259>), imputation using partial least squares (PLS) for high dimensional predictors (Robitzsch, Pham & Yanagida, 2016), and nested multiple imputation (Rubin, 2003, <doi:10.1111/1467-9574.00217>).
Author: Alexander Robitzsch [aut, cre], Simon Grund [aut], Thorsten Henke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between miceadds versions 2.15-22 dated 2018-10-19 and 3.0-16 dated 2018-12-11

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Package BIFIEsurvey updated to version 3.0-14 with previous version 2.191-12 dated 2018-10-17

Title: Tools for Survey Statistics in Educational Assessment
Description: Contains tools for survey statistics (especially in educational assessment) for datasets with replication designs (jackknife, bootstrap, replicate weights; see Kolenikov, 2010; Pfefferman & Rao, 2009a, 2009b, <doi:10.1016/S0169-7161(09)70003-3>, <doi:10.1016/S0169-7161(09)70037-9>); Shao, 1996, <doi:10.1080/02331889708802523>). Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included. Statistical inference can be conducted for multiply imputed datasets and nested multiply imputed datasets and is in particularly suited for the analysis of plausible values (for details see George, Oberwimmer & Itzlinger-Bruneforth, 2016; Bruneforth, Oberwimmer & Robitzsch, 2016; Robitzsch, Pham & Yanagida, 2016; <doi:10.17888/fdb-demo:bistE813I-16a>). This package is developed by BIFIE (Federal Institute for Educational Research, Innovation and Development of the Austrian School System; Salzburg, Austria).
Author: BIFIE [aut], Alexander Robitzsch [ctb, cre], Konrad Oberwimmer [ctb]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between BIFIEsurvey versions 2.191-12 dated 2018-10-17 and 3.0-14 dated 2018-12-11

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Package extremefit updated to version 0.2.5 with previous version 0.2.4 dated 2018-11-28

Title: Estimation of Extreme Conditional Quantiles and Probabilities
Description: Extreme value theory, nonparametric kernel estimation, tail conditional probabilities, extreme conditional quantile, adaptive estimation, quantile regression, survival probabilities.
Author: Gilles Durrieu, Ion Grama, Kevin Jaunatre, Quang-Khoai Pham, Jean-Marie Tricot
Maintainer: Kevin Jaunatre <kevin.jaunatre@univ-ubs.fr>

Diff between extremefit versions 0.2.4 dated 2018-11-28 and 0.2.5 dated 2018-12-11

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Package ANN2 updated to version 2.0 with previous version 1.5 dated 2017-11-28

Title: Artificial Neural Networks for Anomaly Detection
Description: Training of neural networks for classification and regression tasks using mini-batch gradient descent. Special features include a function for training autoencoders, which can be used to detect anomalies, and some related plotting functions. Multiple activation functions are supported, including tanh, relu, step and ramp. For the use of the step and ramp activation functions in detecting anomalies using autoencoders, see Hawkins et al. (2002) <doi:10.1007/3-540-46145-0_17>. Furthermore, several loss functions are supported, including robust ones such as Huber and pseudo-Huber loss, as well as L1 and L2 regularization. The possible options for optimization algorithms are RMSprop, Adam and SGD with momentum. The package contains a vectorized C++ implementation that facilitates fast training through mini-batch learning.
Author: Bart Lammers
Maintainer: Bart Lammers <bart.f.lammers@gmail.com>

Diff between ANN2 versions 1.5 dated 2017-11-28 and 2.0 dated 2018-12-11

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New package RTest with initial version 1.2.1
Package: RTest
Version: 1.2.1
Date: 2018-12-09
Title: A XML-Based Testing Framework for Automated Component Tests of R Packages
Authors@R: c( person("Sebastian", "Wolf", , "sebastian@mail-wolf.de", role = c("aut","cre")), person("Matthias", "Pfeifer", , "matthiaspfeifer@gmx.net", role = c("aut", "ctb")), person("Sergej", "Potapov", , "sergej.potapov@roche.com", role = c("ctb")), person("Roche", role = c("cph", "fnd")) )
Depends: R (>= 3.1.3), testthat (>= 1.0.0), magick(>= 1.3), methods, XML, stringr
Imports: base64, jsonlite
Suggests: knitr, rmarkdown
Description: This provides a framework for R packages developed for a regulatory environment. It is based on the 'testthat' unit testing system and provides the adapter functionalities for XML-based test case definition as well as for standardized reporting of the test results.
Collate: RTest-package.R utils.R utils.test.R utils.xmlRead.R utils.xmlWrite.R RTestCollection.R RTestCase.R RTestCase.test-adapter.R
SystemRequirements: ImageMagick++: ImageMagick-c++-devel (rpm) or libmagick++-dev (deb)
VignetteBuilder: knitr
License: GPL (>= 2)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2018-12-10 09:54:38 UTC; news
Author: Sebastian Wolf [aut, cre], Matthias Pfeifer [aut, ctb], Sergej Potapov [ctb], Roche [cph, fnd]
Maintainer: Sebastian Wolf <sebastian@mail-wolf.de>
Repository: CRAN
Date/Publication: 2018-12-11 09:30:08 UTC

More information about RTest at CRAN
Permanent link

Package readr updated to version 1.3.0 with previous version 1.2.0 dated 2018-11-22

Title: Read Rectangular Text Data
Description: The goal of 'readr' is to provide a fast and friendly way to read rectangular data (like 'csv', 'tsv', and 'fwf'). It is designed to flexibly parse many types of data found in the wild, while still cleanly failing when data unexpectedly changes.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], Romain Francois [aut], R Core Team [ctb] (Date time code adapted from R), RStudio [cph, fnd], Jukka Jylänki [ctb, cph] (grisu3 implementation), Mikkel Jørgensen [ctb, cph] (grisu3 implementation)
Maintainer: Jim Hester <james.hester@rstudio.com>

Diff between readr versions 1.2.0 dated 2018-11-22 and 1.3.0 dated 2018-12-11

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Package pbdDMAT updated to version 0.5-0 with previous version 0.4-2 dated 2016-10-21

Title: 'pbdR' Distributed Matrix Methods
Description: A set of classes for managing distributed matrices, and a collection of methods for computing linear algebra and statistics. Computation is handled mostly by routines from the 'pbdBASE' package, which itself relies on the 'ScaLAPACK' and 'PBLAS' numerical libraries for distributed computing.
Author: Drew Schmidt [aut, cre], Wei-Chen Chen [aut], Sebastien Lamy de la Chapelle [aut], George Ostrouchov [aut], Pragneshkumar Patel [aut], ZhaoKang Wang [ctb], Michael Lawrence [ctb], R Core team [ctb] (some wrappers taken from the base and stats packages)
Maintainer: Drew Schmidt <wrathematics@gmail.com>

Diff between pbdDMAT versions 0.4-2 dated 2016-10-21 and 0.5-0 dated 2018-12-11

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More information about pbdDMAT at CRAN
Permanent link

Package lpirfs updated to version 0.1.4 with previous version 0.1.3 dated 2018-09-29

Title: Local Projections Impulse Response Functions
Description: Provides functions to estimate and plot linear as well as nonlinear impulse responses based on local projections by Jordà (2005) <doi:10.1257/0002828053828518>.
Author: Philipp Adämmer [aut, cre] (<https://orcid.org/0000-0003-3770-0097>), James P. LeSage [ctb], Mehmet Balcilar [ctb]
Maintainer: Philipp Adämmer <adaemmer@hsu-hh.de>

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Package geogrid updated to version 0.1.1 with previous version 0.1.0.1 dated 2018-08-19

Title: Turn Geospatial Polygons into Regular or Hexagonal Grids
Description: Turn irregular polygons (such as geographical regions) into regular or hexagonal grids. This package enables the generation of regular (square) and hexagonal grids through the package 'sp' and then assigns the content of the existing polygons to the new grid using the Hungarian algorithm, Kuhn (1955) (<doi:10.1007/978-3-540-68279-0_2>). This prevents the need for manual generation of hexagonal grids or regular grids that are supposed to reflect existing geography.
Author: Joseph Bailey [aut, cre], Ryan Hafen [ctb], Jakub Nowosad [ctb] (<https://orcid.org/0000-0002-1057-3721>), Lars Simon Zehnder [ctb] (RcppArmadillo implmentation of Munkres' Assignment Algorithm)
Maintainer: Joseph Bailey <jbailey@futurecities.catapult.org.uk>

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More information about geogrid at CRAN
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Package animation updated to version 2.6 with previous version 2.5 dated 2017-03-30

Title: A Gallery of Animations in Statistics and Utilities to Create Animations
Description: Provides functions for animations in statistics, covering topics in probability theory, mathematical statistics, multivariate statistics, non-parametric statistics, sampling survey, linear models, time series, computational statistics, data mining and machine learning. These functions may be helpful in teaching statistics and data analysis. Also provided in this package are a series of functions to save animations to various formats, e.g. Flash, 'GIF', HTML pages, 'PDF' and videos. 'PDF' animations can be inserted into 'Sweave' / 'knitr' easily.
Author: Yihui Xie [aut, cre], Christian Mueller [ctb], Lijia Yu [ctb], Weicheng Zhu [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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More information about animation at CRAN
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Package smoothr updated to version 0.1.1 with previous version 0.1.0 dated 2018-04-04

Title: Smooth and Tidy Spatial Features
Description: Tools for smoothing and tidying spatial features (i.e. lines and polygons) to make them more aesthetically pleasing. Smooth curves, fill holes, and remove small fragments from lines and polygons.
Author: Matthew Strimas-Mackey [aut, cre] (<https://orcid.org/0000-0001-8929-7776>)
Maintainer: Matthew Strimas-Mackey <mstrimas@gmail.com>

Diff between smoothr versions 0.1.0 dated 2018-04-04 and 0.1.1 dated 2018-12-11

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More information about smoothr at CRAN
Permanent link

Package rSPARCS updated to version 0.0.2 with previous version 0.0.1 dated 2018-12-09

Title: Statistical Package for Analysis Related Cleaning Support
Description: To clean and analyze hospital data, and generate sets for statistical modeling.
Author: Wangjian Zhang, Zhicheng Du, Ziqiang Lin, Jijin Yao, Yanan Jin, Wayne R. Lawrence, Yuantao Hao
Maintainer: Wangjian Zhang <wzhang27@albany.edu>

Diff between rSPARCS versions 0.0.1 dated 2018-12-09 and 0.0.2 dated 2018-12-11

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Permanent link

Package httr updated to version 1.4.0 with previous version 1.3.1 dated 2017-08-20

Title: Tools for Working with URLs and HTTP
Description: Useful tools for working with HTTP organised by HTTP verbs (GET(), POST(), etc). Configuration functions make it easy to control additional request components (authenticate(), add_headers() and so on).
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package cubature updated to version 2.0.2 with previous version 2.0.1 dated 2018-11-29

Title: Adaptive Multivariate Integration over Hypercubes
Description: R wrappers around the cubature C library of Steven G. Johnson for adaptive multivariate integration over hypercubes and the Cuba C library of Thomas Hahn for deterministic and Monte Carlo integration. Scalar and vector interfaces for cubature and Cuba routines are provided; the vector interfaces are highly recommended as demonstrated in the package vignette.
Author: Balasubramanian Narasimhan [aut, cre], Manuel Koller [ctb], Steven G. Johnson [aut], Thomas Hahn [aut], Annie Bouvier [aut], Kiên Kiêu [aut], Simen Gaure [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.stanford.edu>

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Package MKmisc updated to version 1.2 with previous version 1.1 dated 2018-08-05

Title: Miscellaneous Functions from M. Kohl
Description: Contains several functions for statistical data analysis; e.g. for sample size and power calculations, computation of confidence intervals, and generation of similarity matrices.
Author: Matthias Kohl [aut, cre] (<https://orcid.org/0000-0001-9514-8910>)
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package wrapr updated to version 1.8.0 with previous version 1.7.0 dated 2018-11-15

Title: Wrap R Tools for Debugging and Parametric Programming
Description: Tools for writing and debugging R code. Provides: 'let()' (converts non-standard evaluation interfaces to parametric standard evaluation interfaces, inspired by 'gtools:strmacro()' and 'base::bquote()'), '%.>%' dot-pipe (an 'S3' configurable pipe), 'build_frame()'/'draw_frame()' ('data.frame' example tools), 'qc()' (quoting concatenate), ':=' (named map builder), and more.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package photobiology updated to version 0.9.25 with previous version 0.9.24 dated 2018-09-23

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] (<https://orcid.org/0000-0002-2822-9734>), Glenn Davis [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package IRTpp (with last version 0.2.6.1) was removed from CRAN

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

2016-07-05 0.2.6.1
2016-06-29 0.2.6
2016-06-21 0.2.5

Permanent link
Package RNAsmc updated to version 0.4.0 with previous version 0.3.0 dated 2018-03-19

Title: RNA Secondary Structure Module Mining, Comparison and Plotting
Description: Provides function for RNA secondary structure plotting, comparison and module mining. Given a RNA secondary structure, you can obtain stem regions, hairpin loops, internal loops, bulge loops and multibranch loops of this RNA structure using this program. They are the basic modules of RNA secondary structure. For each module you get, you can use this program to label the RNA structure with a specific color. You can also use this program to compare two RNA secondary structures to get a score that represents similarity. Reference: Reuter JS, Mathews DH (2010) <doi:10.1186/1471-2105-11-129>.
Author: Zheng HeWei
Maintainer: Zheng HeWei<zhenghw@hrbmu.edu.cn>

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Package mdsstat updated to version 0.2.1 with previous version 0.2.0 dated 2018-09-26

Title: Statistical Trending for Medical Devices Surveillance
Description: A collection of common statistical algorithms used in active surveillance of medical device events. Context includes post-market surveillance, pharmacovigilance, signal detection and trending, and regulatory reporting. Primary inputs are device-event time series. Outputs include trending results with the ability to run multiple algorithms at once. This package works well with the 'mds' package, but does not require it.
Author: Gary Chung [aut, cre]
Maintainer: Gary Chung <gchung05@gmail.com>

Diff between mdsstat versions 0.2.0 dated 2018-09-26 and 0.2.1 dated 2018-12-11

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More information about mdsstat at CRAN
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Package jmv updated to version 0.9.6 with previous version 0.9.5 dated 2018-11-16

Title: The 'jamovi' Analyses
Description: A suite of common statistical methods such as descriptives, t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, and factor analysis. This package is also useable from the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more information).
Author: Ravi Selker, Jonathon Love, Damian Dropmann
Maintainer: Jonathon Love <jon@thon.cc>

Diff between jmv versions 0.9.5 dated 2018-11-16 and 0.9.6 dated 2018-12-11

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More information about jmv at CRAN
Permanent link

Package CrossVA updated to version 0.9.4 with previous version 0.9.3 dated 2018-10-24

Title: Verbal Autopsy Data Transform for Use with Various Coding Algorithms
Description: Enables transformation of Verbal Autopsy data collected with the WHO 2016 questionnaire (versions 1.4.1 & 1.5.1) for automated coding of Cause of Death using different computer algorithms. Currently supports user-supplied mappings, and provides unvalidated, experimental-stage mapping definitions to transform to InterVA4, InterVA5, Tariff 2, and InSilicoVA. This package is made available by WHO, in collaboration with the Swiss Tropical and Public Health Institute and the Bloomberg Data for Health Initiative.
Author: Eungang Choi [aut], Sam Clark [aut], Zehang Li [aut], Nicolas Maire [aut], Jason Thomas [aut, cre]
Maintainer: Jason Thomas <jarathomas@gmail.com>

Diff between CrossVA versions 0.9.3 dated 2018-10-24 and 0.9.4 dated 2018-12-11

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More information about CrossVA at CRAN
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