Tue, 19 Mar 2019

Package ssgraph updated to version 1.8 with previous version 1.7 dated 2019-02-20

Title: Bayesian Graphical Estimation using Spike-and-Slab Priors
Description: Bayesian estimation for undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data. To speed up the computations, the computationally intensive tasks of the package are implemented in C++ in parallel using OpenMP.
Author: Reza Mohammadi <https://orcid.org/0000-0001-9538-0648>
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

Diff between ssgraph versions 1.7 dated 2019-02-20 and 1.8 dated 2019-03-19

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Package paws.common updated to version 0.1.1 with previous version 0.1.0 dated 2019-03-13

Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws.common versions 0.1.0 dated 2019-03-13 and 0.1.1 dated 2019-03-19

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Package git2r updated to version 0.25.2 with previous version 0.25.1 dated 2019-03-17

Title: Provides Access to Git Repositories
Description: Interface to the 'libgit2' library, which is a pure C implementation of the 'Git' core methods. Provides access to 'Git' repositories to extract data and running some basic 'Git' commands.
Author: See AUTHORS file.
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

Diff between git2r versions 0.25.1 dated 2019-03-17 and 0.25.2 dated 2019-03-19

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Package fs updated to version 1.2.7 with previous version 1.2.6 dated 2018-08-23

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut, cre], Hadley Wickham [aut], libuv project contributors [cph] (libuv library), Joyent, Inc. and other Node contributors [cph] (libuv library), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between fs versions 1.2.6 dated 2018-08-23 and 1.2.7 dated 2019-03-19

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New package CoopGame with initial version 0.2.1
Package: CoopGame
Type: Package
Title: Important Concepts of Cooperative Game Theory
Version: 0.2.1
Authors@R: c(person("Jochen", "Staudacher", role = c("aut","cre", "cph"), email = "jochen.staudacher@hs-kempten.de"), person("Johannes", "Anwander", role = c("aut", "cph"), email = "anwander.johannes@gmail.com"), person("Alexandra", "Tiukkel", role = c("aut", "cph")), person("Michael", "Maerz", role = c("aut", "cph")), person("Franz", "Mueller", role = c("aut", "cph")), person("Daniel", "Gebele", role = c("aut", "cph")), person("Anna", "Merkle", role = c("aut", "cph")), person("Fatma", "Tokay", role = c("aut", "cph")), person("Kuebra", "Tokay", role = c("aut", "cph")), person("Nicole", "Cyl", role = c("aut", "cph")))
Maintainer: Jochen Staudacher <jochen.staudacher@hs-kempten.de>
Description: The theory of cooperative games with transferable utility offers useful insights into the way parties can share gains from cooperation and secure sustainable agreements, see e.g. one of the books by Chakravarty, Mitra and Sarkar (2015, ISBN:978-1107058798) or by Driessen (1988, ISBN:978-9027727299) for more details. A comprehensive set of tools for cooperative game theory with transferable utility is provided. Users can create special families of cooperative games, like e.g. bankruptcy games, cost sharing games and weighted voting games. There are functions to check various game properties and to compute five different set-valued solution concepts for cooperative games. A large number of point-valued solution concepts is available reflecting the diverse application areas of cooperative game theory. Some of these point-valued solution concepts can be used to analyze weighted voting games and measure the influence of individual voters within a voting body. There are routines for visualizing both set-valued and point-valued solutions in the case of three or four players.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 2.10.0), utils, rgl (>= 0.95.1201), geometry (>= 0.3-6), rcdd (>= 1.1)
Imports: gtools (>= 3.5.0), methods (>= 3.3.1)
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 6.1.1
LazyData: true
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2019-03-09 06:49:04 UTC; jhstaudacher
Author: Jochen Staudacher [aut, cre, cph], Johannes Anwander [aut, cph], Alexandra Tiukkel [aut, cph], Michael Maerz [aut, cph], Franz Mueller [aut, cph], Daniel Gebele [aut, cph], Anna Merkle [aut, cph], Fatma Tokay [aut, cph], Kuebra Tokay [aut, cph], Nicole Cyl [aut, cph]
Repository: CRAN
Date/Publication: 2019-03-19 23:23:31 UTC

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Package BDgraph updated to version 2.56 with previous version 2.55 dated 2019-02-15

Title: Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
Description: Statistical tools for Bayesian structure learning in undirected graphical models for continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889>, Letac et al. (2018) <arXiv:1706.04416>, Dobra and Mohammadi (2018) <doi:10.1214/18-AOAS1164>, Mohammadi et al. (2017) <doi:10.1111/rssc.12171>. To speed up the computations, the BDMCMC sampling algorithms are implemented in parallel using OpenMP in C++.
Author: Reza Mohammadi [aut, cre] <https://orcid.org/0000-0001-9538-0648>, Ernst Wit [aut] <https://orcid.org/0000-0002-3671-9610>, Adrian Dobra [ctb]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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Package trackdem updated to version 0.4.3 with previous version 0.4.2 dated 2018-10-24

Title: Particle Tracking and Demography
Description: Obtain population density and body size structure, using video material or image sequences as input. Functions assist in the creation of image sequences from videos, background detection and subtraction, particle identification and tracking. An artificial neural network can be trained for noise filtering. The goal is to supply accurate estimates of population size, structure and/or individual behavior, for use in evolutionary and ecological studies.
Author: Marjolein Bruijning, Marco D. Visser, Caspar A. Hallmann, Eelke Jongejans
Maintainer: Marjolein Bruijning <mbruijning@princeton.edu>

Diff between trackdem versions 0.4.2 dated 2018-10-24 and 0.4.3 dated 2019-03-19

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Package KONPsurv updated to version 1.0.1 with previous version 1.0 dated 2019-03-15

Title: KONP Tests: Powerful K-Sample Tests for Right-Censored Data
Description: The K-sample omnibus non-proportional hazards (KONP) tests are powerful non-parametric tests for comparing K (>=2) hazard functions based on right-censored data (Gorfine, Schlesinger and Hsu, 2019, <arXiv:1901.05739v1>). These tests are consistent against any differences between the hazard functions of the groups. The KONP tests are often more powerful than other existing tests, especially under non-proportional hazard functions.
Author: Matan Schlesinger [cre, aut], Malka Gorfine [aut]
Maintainer: Matan Schlesinger <matan.schles@gmail.com>

Diff between KONPsurv versions 1.0 dated 2019-03-15 and 1.0.1 dated 2019-03-19

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Package DoE.MIParray updated to version 0.12 with previous version 0.11 dated 2018-03-01

Title: Creation of Arrays by Mixed Integer Programming
Description: 'CRAN' package 'DoE.base' and non-'CRAN' packages 'gurobi' and 'Rmosek' are enhanced with functionality for the creation of optimized arrays for experimentation, where optimization is in terms of generalized minimum aberration. It is also possible to optimally extend existing arrays to larger run size. Optimization requires the availability of at least one of the commercial products 'Gurobi' or 'Mosek' (free academic licenses available for both). For installing 'Gurobi' and its R package 'gurobi', follow instructions at <http://www.gurobi.com/downloads/gurobi-optimizer> and <http://www.gurobi.com/documentation/7.5/refman/r_api_overview.html> (or higher version). For installing 'Mosek' and its R package 'Rmosek', follow instructions at <https://www.mosek.com/downloads/> and <http://docs.mosek.com/8.1/rmosek/install-interface.html>, or use the functionality in the stump CRAN R package 'Rmosek'.
Author: Ulrike Groemping
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>

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Package adaptivetau updated to version 2.2-3 with previous version 2.2-2 dated 2019-03-12

Title: Tau-Leaping Stochastic Simulation
Description: Implements adaptive tau leaping to approximate the trajectory of a continuous-time stochastic process as described by Cao et al. (2007) The Journal of Chemical Physics <doi:10.1063/1.2745299> (aka. the Gillespie stochastic simulation algorithm). This package is based upon work supported by NSF DBI-0906041 and NIH K99-GM104158 to Philip Johnson and NIH R01-AI049334 to Rustom Antia.
Author: Philip Johnson
Maintainer: Philip Johnson <plfj@umd.edu>

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Package MortCast updated to version 2.0-1 with previous version 1.2-1 dated 2018-09-22

Title: Estimation and Projection of Age-Specific Mortality Rates
Description: Age-specific mortality rates are estimated and projected using the Kannisto, Lee-Carter and related methods as described in Sevcikova et al. (2016) <doi:10.1007/978-3-319-26603-9_15>.
Author: Hana Sevcikova, Nan Li and Patrick Gerland
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package fdapace updated to version 0.4.1 with previous version 0.4.0 dated 2018-02-25

Title: Functional Data Analysis and Empirical Dynamics
Description: Provides implementation of various methods of Functional Data Analysis (FDA) and Empirical Dynamics. The core of this package is Functional Principal Component Analysis (FPCA), a key technique for functional data analysis, for sparsely or densely sampled random trajectories and time courses, via the Principal Analysis by Conditional Estimation (PACE) algorithm or numerical integration. PACE is useful for the analysis of data that have been generated by a sample of underlying (but usually not fully observed) random trajectories. It does not rely on pre-smoothing of trajectories, which is problematic if functional data are sparsely sampled. PACE provides options for functional regression and correlation, for Longitudinal Data Analysis, the analysis of stochastic processes from samples of realized trajectories, and for the analysis of underlying dynamics. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Xiongtao Dai [aut], Pantelis Z. Hadjipantelis [aut, cre], Kynghee Han [aut], Hao Ji [aut], Shu-Chin Lin [ctb], Hans-Georg Mueller [cph, ths], Jane-Ling Wang [cph, ths]
Maintainer: Pantelis Z. Hadjipantelis <pantelis@ucdavis.edu>

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Package rstudioapi updated to version 0.10 with previous version 0.9.0 dated 2019-01-09

Title: Safely Access the RStudio API
Description: Access the RStudio API (if available) and provide informative error messages when it's not.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], Hadley Wickham [aut], Gary Ritchie [aut], RStudio [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package emulator updated to version 1.2-20 with previous version 1.2-19 dated 2019-01-15

Title: Bayesian Emulation of Computer Programs
Description: Allows one to estimate the output of a computer program, as a function of the input parameters, without actually running it. The computer program is assumed to be a Gaussian process, whose parameters are estimated using Bayesian techniques that give a PDF of expected program output. This PDF is conditional on a training set of runs, each consisting of a point in parameter space and the model output at that point. The emphasis is on complex codes that take weeks or months to run, and that have a large number of undetermined input parameters; many climate prediction models fall into this class. The emulator essentially determines Bayesian posterior estimates of the PDF of the output of a model, conditioned on results from previous runs and a user-specified prior linear model. A vignette is provided and the help pages include examples.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between emulator versions 1.2-19 dated 2019-01-15 and 1.2-20 dated 2019-03-19

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Package cctools updated to version 0.1.2 with previous version 0.1.1 dated 2017-11-24

Title: Tools for the Continuous Convolution Trick in Nonparametric Estimation
Description: Implements the uniform scaled beta distribution and the continuous convolution kernel density estimator.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <thomas.nagler@tum.de>

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Package Rborist updated to version 0.1-17 with previous version 0.1-16 dated 2019-03-15

Title: Extensible, Parallelizable Implementation of the Random Forest Algorithm
Description: Scalable implementation of classification and regression forests, as described by Breiman (2001), <DOI:10.1023/A:1010933404324>.
Author: Mark Seligman
Maintainer: Mark Seligman <mseligman@suiji.org>

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New package rfordummies with initial version 0.1.4
Package: rfordummies
Title: Code Examples to Accompany the Book "R for Dummies"
Version: 0.1.4
Authors@R: c(person("Andrie", "de Vries", role=c("aut", "cre"), email="apdevries@gmail.com"), person("Joris", "Meys", role = c("aut")))
Description: Contains all the code examples in the book "R for Dummies" (2nd edition) by Andrie de Vries and Joris Meys. You can view the table of contents as well as the sample code for each chapter.
Date: 2019-03-19
Language: en-GB
URL: https://rfordummies.com, http://andrie.github.io/rfordummies/
BugReports: https://github.com/andrie/rfordummies/issues
Imports: openxlsx
Suggests: fortunes, stringr, sos, XLConnect, reshape2, ggplot2, foreign, lattice, covr, testthat
License: GPL-2 | GPL-3
LazyData: true
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-03-19 16:33:28 UTC; apdev
Author: Andrie de Vries [aut, cre], Joris Meys [aut]
Maintainer: Andrie de Vries <apdevries@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-19 18:20:03 UTC

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Package Perc updated to version 0.1.3 with previous version 0.1.2 dated 2016-05-10

Title: Using Percolation and Conductance to Find Information Flow Certainty in a Direct Network
Description: To find the certainty of dominance interactions with indirect interactions being considered.
Author: Kevin Fujii [aut], Jian Jin [aut], Jessica Vandeleest [aut, cre], Aaron Shev [aut], Brianne Beisner [aut], Brenda McCowan [aut, cph], Hsieh Fushing [aut, cph]
Maintainer: Jessica Vandeleest <vandelee@ucdavis.edu>

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Package PBSadmb updated to version 1.1.4 with previous version 0.68.104 dated 2014-04-09

Title: ADMB for R Using Scripts or GUI
Description: A collection of software provides R support for 'ADMB' (Automatic Differentiation Model Builder) and a 'GUI' interface facilitates the conversion of 'ADMB' template code to 'C code' followed by compilation to a binary executable. Stand-alone functions can also be run by users not interested in clicking a 'GUI'.
Author: Jon T. Schnute [aut], Rowan Haigh [aut, cre], Alex Couture-Beil [aut]
Maintainer: Rowan Haigh <rowan.haigh@dfo-mpo.gc.ca>

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Package s2dverification updated to version 2.8.5 with previous version 2.8.0 dated 2017-02-13

Title: Set of Common Tools for Forecast Verification
Description: Set of tools to verify forecasts through the computation of typical prediction scores against one or more observational datasets or reanalyses (a reanalysis being a physical extrapolation of observations that relies on the equations from a model, not a pure observational dataset). Intended for seasonal to decadal climate forecasts although can be useful to verify other kinds of forecasts. The package can be helpful in climate sciences for other purposes than forecasting.
Author: BSC-CNS [aut, cph], Virginie Guemas [aut], Nicolau Manubens [aut, cre], Javier Garcia-Serrano [aut], Neven Fuckar [aut], Louis-Philippe Caron [aut], Omar Bellprat [aut], Luis Rodrigues [aut], Veronica Torralba [aut], Alasdair Hunter [aut], Chloe Prodhomme [aut], Martin Menegoz [aut], Domingo Manubens [ctb], Constantin Ardilouze [ctb], Lauriane Batte [ctb], Fabian Lienert [ctb], Julia Giner [ctb], Jean-Philippe Baudouin [ctb], Nube Gonzalez [ctb], Ludovic Auger [ctb], Nicola Cortesi [ctb], Eleftheria Exarchou [ctb], Ruben Cruz [ctb], Isabel Andreu-Burillo [ctb], Ramiro Saurral [ctb]
Maintainer: Nicolau Manubens <nicolau.manubens@bsc.es>

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Package SpaDES.tools updated to version 0.3.2 with previous version 0.3.1 dated 2019-02-01

Title: Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models
Description: Provides GIS and map utilities, plus additional modeling tools for developing cellular automata, dynamic raster models, and agent based models in 'SpaDES'. Included are various methods for spatial spreading, spatial agents, GIS operations, random map generation, and others. See '?SpaDES.tools' for an categorized overview of these additional tools.
Author: Alex M Chubaty [aut, cre] (<https://orcid.org/0000-0001-7146-8135>), Eliot J B McIntire [aut] (<https://orcid.org/0000-0002-6914-8316>), Yong Luo [ctb], Steve Cumming [ctb], Jean Marchal [ctb], Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <alex.chubaty@gmail.com>

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Package RHRV updated to version 4.2.4 with previous version 4.2.3 dated 2017-02-09

Title: Heart Rate Variability Analysis of ECG Data
Description: Allows users to import data files containing heartbeat positions in the most broadly used formats, to remove outliers or points with unacceptable physiological values present in the time series, to plot HRV data, and to perform time domain, frequency domain and nonlinear HRV analysis.
Author: Leandro Rodriguez-Linares [aut, cre], Xose Vila [aut], Maria Jose Lado [aut], Arturo Mendez [aut], Abraham Otero [aut], Constantino Antonio Garcia [aut], Matti Lassila [ctb]
Maintainer: Leandro Rodriguez-Linares <leandro@uvigo.es>

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Package dockerfiler updated to version 0.1.3 with previous version 0.1.1 dated 2018-04-18

Title: Easy Dockerfile Creation from R
Description: Build a Dockerfile straight from your R session. 'dockerfiler' allows you to create step by step a Dockerfile, and provide convenient tools to wrap R code inside this Dockerfile.
Author: Colin Fay [cre, aut]
Maintainer: Colin Fay <contact@colinfay.me>

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Permanent link

Package BioCircos updated to version 0.3.4 with previous version 0.3.3 dated 2018-02-15

Title: Interactive Circular Visualization of Genomic Data using 'htmlwidgets' and 'BioCircos.js'
Description: Implement in 'R' interactive Circos-like visualizations of genomic data, to map information such as genetic variants, genomic fusions and aberrations to a circular genome, as proposed by the 'JavaScript' library 'BioCircos.js', based on the 'JQuery' and 'D3' technologies. The output is by default displayed in stand-alone HTML documents or in the 'RStudio' viewer pane. Moreover it can be integrated in 'R Markdown' documents and 'Shiny' applications.
Author: Loan Vulliard [trl, cre], Xiaowei Chen [aut], Ya Cui [aut]
Maintainer: Loan Vulliard <lvulliard@cemm.at>

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Package audio updated to version 0.1-6 with previous version 0.1-5.1 dated 2018-06-29

Title: Audio Interface for R
Description: Interfaces to audio devices (mainly sample-based) from R to allow recording and playback of audio. Built-in devices include Windows MM, Mac OS X AudioUnits and PortAudio (the last one is very experimental).
Author: Simon Urbanek <simon.urbanek@r-project.org>
Maintainer: Simon Urbanek <simon.urbanek@r-project.org>

Diff between audio versions 0.1-5.1 dated 2018-06-29 and 0.1-6 dated 2019-03-19

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New package TempCont with initial version 0.1.0
Package: TempCont
Type: Package
Title: Temporal Contributions on Trends using Mixed Models
Version: 0.1.0
Author: Marcos Fernández-Martínez, Joan Maspons
Maintainer: Marcos Fernández-Martínez <marcos.fernandez-martinez@uantwerpen.be>
Description: Method to estimate the effect of the trend in predictor variables on the observed trend of the response variable using mixed models with temporal autocorrelation. See Fernández-Martínez et al. (2017 and 2019) <doi:10.1038/s41598-017-08755-8> <doi:10.1038/s41558-018-0367-7>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: nlme
LazyData: false
URL: https://github.com/burriach/tempcont
BugReports: https://github.com/burriach/tempcont/issues
NeedsCompilation: no
Packaged: 2019-03-18 09:35:34 UTC; m.fernandez
Repository: CRAN
Date/Publication: 2019-03-19 15:13:21 UTC

More information about TempCont at CRAN
Permanent link

Package multivariance updated to version 2.1.0 with previous version 2.0.0 dated 2019-02-06

Title: Measuring Multivariate Dependence Using Distance Multivariance
Description: Distance multivariance is a measure of dependence which can be used to detect and quantify dependence. The necessary functions are implemented in this packages, and examples are given. For the theoretic background we refer to the papers: B. Böttcher, M. Keller-Ressel, R.L. Schilling, Detecting independence of random vectors: generalized distance covariance and Gaussian covariance. VMSTA, 2018, Vol. 5, No. 3, 353-383. <arXiv:1711.07778>. B. Böttcher, M. Keller-Ressel, R.L. Schilling, Distance multivariance: New dependence measures for random vectors. <arXiv:1711.07775>. B. Böttcher, Dependence and Dependence Structures: Estimation and Visualization Using Distance Multivariance. <arXiv:1712.06532>. G. Berschneider, B. Böttcher, On complex Gaussian random fields, Gaussian quadratic forms and sample distance multivariance. <arXiv:1808.07280>.
Author: Björn Böttcher [aut, cre], Martin Keller-Ressel [ctb]
Maintainer: Björn Böttcher <bjoern.boettcher@tu-dresden.de>

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Package medfate updated to version 0.7.3 with previous version 0.2.2 dated 2016-11-10

Title: Mediterranean Forest Simulation
Description: Functions to simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>].
Author: Miquel De Cáceres [aut, cre], Víctor Granda [aut], Antoine Cabon [aut]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

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Package e1071 updated to version 1.7-1 with previous version 1.7-0.1 dated 2019-01-21

Title: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Description: Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, ...
Author: David Meyer [aut, cre], Evgenia Dimitriadou [aut, cph], Kurt Hornik [aut], Andreas Weingessel [aut], Friedrich Leisch [aut], Chih-Chung Chang [ctb, cph] (libsvm C++-code), Chih-Chen Lin [ctb, cph] (libsvm C++-code)
Maintainer: David Meyer <David.Meyer@R-project.org>

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New package binsreg with initial version 0.2.0
Package: binsreg
Type: Package
Title: Binscatter Estimation and Inference
Date: 2019-03-17
Version: 0.2.0
Author: Matias D. Cattaneo, Richard K. Crump, Max H. Farrell, Yingjie Feng
Maintainer: Yingjie Feng <yjfeng@umich.edu>
Description: Provides tools for statistical analysis using the binscatter methods developed by Cattaneo, Crump, Farrell and Feng (2019a) <arXiv:1902.09608> and Cattaneo, Crump, Farrell and Feng (2019b) <arXiv:1902.09615>. Binscatter provides a flexible way of describing the mean relationship between two variables based on partitioning/binning of the independent variable of interest. binsreg() implements binscatter estimation and robust (pointwise and uniform) inference of regression functions and derivatives thereof, with particular focus on constructing binned scatter plots. binsregtest() implements hypothesis testing procedures for parametric functional forms of and nonparametric shape restrictions on the regression function. binsregselect() implements data-driven procedures for selecting the number of bins for binscatter estimation. All the commands allow for covariate adjustment, smoothness restrictions and clustering.
Depends: R (>= 3.1)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: ggplot2, sandwich
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-18 02:36:38 UTC; Yingjie
Repository: CRAN
Date/Publication: 2019-03-19 15:03:25 UTC

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Package binneR updated to version 2.0.11 with previous version 2.0.10 dated 2019-02-08

Title: Spectral Processing for High Resolution Flow Infusion Mass Spectrometry
Description: A spectral binning approach for high resolution flow infusion mass spectrometry data.
Author: Jasen Finch [aut, cre]
Maintainer: Jasen Finch <jsf9@aber.ac.uk>

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Package rdhs updated to version 0.6.3 with previous version 0.6.2 dated 2019-02-28

Title: API Client and Dataset Management for the Demographic and Health Survey (DHS) Data
Description: Provides a client for (1) querying the DHS API for survey indicators and metadata (<https://api.dhsprogram.com/#/index.html>), (2) identifying surveys and datasets for analysis, (3) downloading survey datasets from the DHS website, (4) loading datasets and associate metadata into R, and (5) extracting variables and combining datasets for pooled analysis.
Author: OJ Watson [aut, cre] (<https://orcid.org/0000-0003-2374-0741>), Jeff Eaton [aut] (<https://orcid.org/0000-0001-7728-728X>), Lucy D'Agostino McGowan [rev] (<https://orcid.org/0000-0001-7297-9359>), Duncan Gillespie [rev]
Maintainer: OJ Watson <oj.watson@hotmail.co.uk>

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Package psda updated to version 1.3.0 with previous version 1.2.0 dated 2018-12-15

Title: Polygonal Symbolic Data Analysis
Description: An implementation of symbolic polygonal data analysis. The package presents the estimation of main descriptive statistical measures, e.g, mean, covariance, variance, correlation and coefficient of variation. In addition, a method to obtain polygonal data from classical data is presented. Empirical probability distribution function based on polygonal histogram and a regression model with its main measures are presented.
Author: Wagner Silva [aut, cre, ths], Renata Souza [aut], Francisco Cysneiros [aut]
Maintainer: Wagner Silva <wjfs@cin.ufpe.br>

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Package phenocamapi updated to version 0.1.4 with previous version 0.1.3 dated 2019-01-07

Title: Interacting with the PhenoCam Data and API
Description: A bundle to facilitate working with PhenoCam timeseries and data. The user would be able to obtain phenological time-series and site metadata from the PhenoCam network <https://phenocam.sr.unh.edu/webcam/>.
Author: Bijan Seyednasrollah
Maintainer: Bijan Seyednasrollah <bijan.s.nasr@gmail.com>

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Package GGMM updated to version 1.0.1 with previous version 1.0.0 dated 2018-05-09

Title: Mixture Gaussian Graphical Models
Description: The Gaussian graphical model is a widely used tool for learning gene regulatory networks with high-dimensional gene expression data. For many real problems, the data are heterogeneous, which may contain some subgroups or come from different resources. This package provide a Gaussian Graphical Mixture Model (GGMM) for the heterogeneous data. You can refer to Jia, B. and Liang, F. (2018) at <arXiv:1805.02547> for detail.
Author: Bochao Jia [aut, ctb, cre, cph], Faming Liang [ctb]
Maintainer: Bochao Jia <jbc409@gmail.com>

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Package ANN2 updated to version 2.2 with previous version 2.1 dated 2019-02-28

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>

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Package rags2ridges updated to version 2.2.1 with previous version 2.2 dated 2017-04-13

Title: Ridge Estimation of Precision Matrices from High-Dimensional Data
Description: Proper L2-penalized ML estimators for the precision matrix as well as supporting functions to employ these estimators in a graphical modeling setting.
Author: Carel F.W. Peeters [cre, aut], Anders Ellern Bilgrau [aut], Wessel N. van Wieringen [aut]
Maintainer: Carel F.W. Peeters <cf.peeters@vumc.nl>

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Package DDD updated to version 3.9 with previous version 3.8.1 dated 2019-03-12

Title: Diversity-Dependent Diversification
Description: Implements maximum likelihood and bootstrap methods based on the diversity-dependent birth-death process to test whether speciation or extinction are diversity-dependent, under various models including various types of key innovations. See Etienne et al. 2012, Proc. Roy. Soc. B 279: 1300-1309, <DOI:10.1098/rspb.2011.1439>, Etienne & Haegeman 2012, Am. Nat. 180: E75-E89, <DOI:10.1086/667574> and Etienne et al. 2016. Meth. Ecol. Evol. 7: 1092-1099, <DOI:10.1111/2041-210X.12565>. Also contains functions to simulate the diversity-dependent process.
Author: Rampal S. Etienne & Bart Haegeman
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>

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Package xesreadR updated to version 0.2.3 with previous version 0.2.2 dated 2017-12-04

Title: Read and Write XES Files
Description: Read and write XES Files to create event log objects used by the 'bupaR' framework. XES (Extensible Event Stream) is the `IEEE` standard for storing and sharing event data (see <http://standards.ieee.org/findstds/standard/1849-2016.html> for more info).
Author: Gert Janssenswillen [aut, cre], Benoît Depaire [ctb]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package whoami updated to version 1.3.0 with previous version 1.2.0 dated 2018-09-11

Title: Username, Full Name, Email Address, 'GitHub' Username of the Current User
Description: Look up the username and full name of the current user, the current user's email address and 'GitHub' username, using various sources of system and configuration information.
Author: Gábor Csárdi [aut, cre], Maëlle Salmon [ctb]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package huxtable updated to version 4.5.0 with previous version 4.4.0 dated 2019-03-03

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 robustbase updated to version 0.93-4 with previous version 0.93-3 dated 2018-09-21

Title: Basic Robust Statistics
Description: "Essential" Robust Statistics. Tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where we strive to cover the book "Robust Statistics, Theory and Methods" by 'Maronna, Martin and Yohai'; Wiley 2006.
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Peter Rousseeuw [ctb] (Qn and Sn), Christophe Croux [ctb] (Qn and Sn), Valentin Todorov [aut] (most robust Cov), Andreas Ruckstuhl [aut] (nlrob, anova, glmrob), Matias Salibian-Barrera [aut] (lmrob orig.), Tobias Verbeke [ctb, fnd] (mc, adjbox), Manuel Koller [aut] (mc, lmrob, psi-func.), Eduardo L. T. Conceicao [aut] (MM-, tau-, CM-, and MTL- nlrob), Maria Anna di Palma [ctb] (initial version of Comedian)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package rdbnomics updated to version 0.4.7 with previous version 0.4.6 dated 2019-02-11

Title: Download DBnomics Data
Description: R access to hundreds of millions data series from DBnomics API (<https://db.nomics.world/>).
Author: Thomas Brand [aut], Sebastien Galais [cre, ctb]
Maintainer: Sebastien Galais <s915.stem@gmail.com>

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Package opalr updated to version 1.0.2 with previous version 1.0.1 dated 2019-02-26

Title: 'Opal' Data Repository Client and 'DataSHIELD' Utils
Description: Data integration Web application for biobanks by 'OBiBa'. 'Opal' is the core database application for biobanks. Participant data, once collected from any data source, must be integrated and stored in a central data repository under a uniform model. 'Opal' is such a central repository. It can import, process, validate, query, analyze, report, and export data. 'Opal' is typically used in a research center to analyze the data acquired at assessment centres. Its ultimate purpose is to achieve seamless data-sharing among biobanks. This 'Opal' client allows to interact with 'Opal' web services and to perform operations on the R server side. 'DataSHIELD' administration tools are also provided.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>), Amadou Gaye [ctb] (<https://orcid.org/0000-0002-1180-2792>), OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

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Package MetaboList updated to version 1.3 with previous version 1.2 dated 2017-04-30

Title: Annotation of Metabolites from Liquid Chromatography-Mass Spectrometry Data
Description: Automatic metabolite annotation from Liquid Chromatography-Mass Spectrometry (LC-MS and LC-MS/MS DIA) analysis.
Author: Manuel David Peris Diaz
Maintainer: Manuel David Peris Diaz <manuel.perisdiaz@uwr.edu.pl>

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Package dfcomb updated to version 3.0-0 with previous version 2.6-0 dated 2019-02-22

Title: Phase I/II Adaptive Dose-Finding Design for Combination Studies
Description: Phase I/II adaptive dose-finding design for combination studies where toxicity rates are supposed to increase with both agents.
Author: Marie-Karelle Riviere and Jacques-Henri Jourdan
Maintainer: Jacques-Henri Jourdan <jacques-henri.jourdan@normalesup.org>

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Package cusum updated to version 0.2.1 with previous version 0.2.0 dated 2019-03-15

Title: CUSUM Charts for Monitoring of Hospital Performance
Description: Provides functions for constructing and evaluating CUSUM charts and RA-CUSUM charts with focus on false signal probability.
Author: Lena Hubig [aut, cre] (<https://orcid.org/0000-0002-9454-1232>)
Maintainer: Lena Hubig <cs@lenahubig.de>

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Package cli updated to version 1.1.0 with previous version 1.0.1 dated 2018-09-25

Title: Helpers for Developing Command Line Interfaces
Description: A suite of tools designed to build attractive command line interfaces ('CLIs'). Includes tools for drawing rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives.
Author: Gábor Csárdi [aut, cre], Hadley Wickham [ctb], Kirill Müller [ctb]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package amt updated to version 0.0.6 with previous version 0.0.5.0 dated 2018-09-12

Title: Animal Movement Tools
Description: Manage and analyze animal movement data. The functionality of 'amt' includes methods to calculate track statistics (e.g. step lengths, speed, or turning angles), prepare data for fitting habitat selection analyses (resource and step-selection functions), and simulation of space-use from fitted step-selection functions.
Author: Johannes Signer [aut, cre], Bjoern Reineking [ctb], Ulrike Schlaegel [ctb], Scott LaPoint [dtc]
Maintainer: Johannes Signer <jsigner@gwdg.de>

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Package EmiStatR (with last version 1.2.1.2) was removed from CRAN

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

2019-03-01 1.2.1.2
2018-07-04 1.2.1.1
2018-06-01 1.2.1.0
2018-02-08 1.2.0.6
2018-01-30 1.2.0.4

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Package AnaCoDa (with last version 0.1.2.3) was removed from CRAN

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2019-03-15 0.1.2.3
2019-03-04 0.1.2.2
2018-11-27 0.1.2.1
2018-09-14 0.1.2
2018-02-12 0.1.1
2018-01-11 0.1.0

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Package stUPscales (with last version 1.0.3.3) was removed from CRAN

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

2018-08-09 1.0.3.3
2018-07-10 1.0.3.2
2018-07-01 1.0.3.1

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

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

2013-07-09 1.3
2013-03-20 1.02
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2012-11-27 1.0

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Package TauStar updated to version 1.1.4 with previous version 1.1.3 dated 2017-03-21

Title: Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance
Description: Computes the t* statistic corresponding to the tau* population coefficient introduced by Bergsma and Dassios (2014) <DOI:10.3150/13-BEJ514> and does so in O(n^2) time following the algorithm of Heller and Heller (2016) <arXiv:1605.08732> building off of the work of Weihs, Drton, and Leung (2016) <DOI:10.1007/s00180-015-0639-x>. Also allows for independence testing using the asymptotic distribution of t* as described by Nandy, Weihs, and Drton (2016) <arXiv:1602.04387>.
Author: Luca Weihs [aut, cre], Emin Martinian [ctb] (Created the red-black tree library included in package.)
Maintainer: Luca Weihs <lucaw@uw.edu>

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Package subcopem2D updated to version 1.3 with previous version 1.2 dated 2017-01-31

Title: Bivariate Empirical Subcopula
Description: Calculate empirical subcopula and dependence measures from a given bivariate sample, and Bernstein copula approximations.
Author: Arturo Erdely
Maintainer: Arturo Erdely <arturo.erdely@comunidad.unam.mx>

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Package sparseBC updated to version 1.2 with previous version 1.1 dated 2015-02-15

Title: Sparse Biclustering of Transposable Data
Description: Implements the sparse biclustering proposal of Tan and Witten (2014), Sparse biclustering of transposable data. Journal of Computational and Graphical Statistics 23(4):985-1008.
Author: Kean Ming Tan
Maintainer: Kean Ming Tan <keanming@u.washington.edu>

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Package SpaDES.core updated to version 0.2.5 with previous version 0.2.4 dated 2019-02-03

Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Simulation Models
Description: Provide the core discrete event simulation (DES) framework for implementing spatially explicit simulation models. The core DES components facilitate modularity, and easily enable the user to include additional functionality by running user-built simulation modules. Now includes (experimental) conditional scheduling.
Author: Alex M Chubaty [aut, cre] (<https://orcid.org/0000-0001-7146-8135>), Eliot J B McIntire [aut] (<https://orcid.org/0000-0002-6914-8316>), Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] (<https://orcid.org/0000-0003-4036-977X>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <alex.chubaty@gmail.com>

Diff between SpaDES.core versions 0.2.4 dated 2019-02-03 and 0.2.5 dated 2019-03-19

 DESCRIPTION                                            |   12 
 MD5                                                    |   78 +-
 NAMESPACE                                              |    4 
 NEWS.md                                                |    6 
 R/cache.R                                              |   50 -
 R/copy.R                                               |    7 
 R/experiment.R                                         |  486 ++++++++++-------
 R/plotting-diagrams.R                                  |   69 +-
 R/simulation-simInit.R                                 |    4 
 R/simulation-spades.R                                  |   17 
 build/vignette.rds                                     |binary
 inst/doc/i-introduction.html                           |    9 
 inst/doc/ii-modules.R                                  |    6 
 inst/doc/ii-modules.Rmd                                |    8 
 inst/doc/ii-modules.html                               |   27 
 inst/doc/iii-cache.R                                   |    2 
 inst/doc/iii-cache.Rmd                                 |    6 
 inst/doc/iii-cache.html                                |  158 ++++-
 inst/sampleModules/randomLandscapes/randomLandscapes.R |   14 
 man/addChangedAttr.Rd                                  |    4 
 man/addTagsToOutput.Rd                                 |    2 
 man/cacheMessage.Rd                                    |    2 
 man/checkCacheRepo.Rd                                  |    2 
 man/dot-setupCl.Rd                                     |only
 man/findSimList.Rd                                     |    4 
 man/objSize.simList.Rd                                 |    4 
 man/objSizeInclEnviros.Rd                              |    2 
 man/preDigestByClass.Rd                                |    2 
 man/prepareOutput.Rd                                   |    2 
 man/robustDigest.Rd                                    |    4 
 man/scheduleConditionalEvent.Rd                        |    5 
 man/scheduleEvent.Rd                                   |    5 
 man/simInit.Rd                                         |    1 
 man/spades.Rd                                          |    2 
 man/tagsByClass.Rd                                     |    2 
 tests/testthat/test-Copy.R                             |only
 tests/testthat/test-cache.R                            |   35 -
 tests/testthat/test-simulation.R                       |  186 ++++--
 tests/testthat/test-timeunits.R                        |    8 
 vignettes/ii-modules.Rmd                               |    8 
 vignettes/iii-cache.Rmd                                |    6 
 41 files changed, 796 insertions(+), 453 deletions(-)

More information about SpaDES.core at CRAN
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