Fri, 26 Apr 2019

Package irace updated to version 3.3 with previous version 3.2 dated 2019-04-24

Title: Iterated Racing for Automatic Algorithm Configuration
Description: Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem.
Author: Manuel López-Ibáñez [aut, cre] (<https://orcid.org/0000-0001-9974-1295>), Jérémie Dubois-Lacoste [aut], Leslie Pérez Cáceres [aut], Thomas Stützle [aut], Mauro Birattari [aut], Eric Yuan [ctb], Prasanna Balaprakash [ctb]
Maintainer: Manuel López-Ibáñez <manuel.lopez-ibanez@manchester.ac.uk>

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Package g3viz updated to version 1.1.1 with previous version 1.1.0 dated 2019-04-21

Title: Interactively Visualize Genetic Mutation Data using a Lollipop-Diagram
Description: R interface for 'g3-lollipop' JavaScript library. Visualize genetic mutation data using an interactive lollipop diagram in RStudio or your browser.
Author: Xin Guo [aut, cre]
Maintainer: Xin Guo <g3viz.group@gmail.com>

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Package DDIwR updated to version 0.3 with previous version 0.2-0 dated 2014-10-02

Title: DDI with R
Description: Useful functions for various DDI (Data Documentation Initiative) related inputs and outputs.
Author: Adrian Dusa [aut, cre]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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Package glcm updated to version 1.6.4 with previous version 1.6.3 dated 2019-04-15

Title: Calculate Textures from Grey-Level Co-Occurrence Matrices (GLCMs)
Description: Enables calculation of image textures (Haralick 1973) <doi:10.1109/TSMC.1973.4309314> from grey-level co-occurrence matrices (GLCMs). Supports processing images that cannot fit in memory.
Author: Alex Zvoleff [aut, cre]
Maintainer: Alex Zvoleff <azvoleff@conservation.org>

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Package rglobi updated to version 0.2.19 with previous version 0.2.18 dated 2019-03-28

Title: R Interface to Global Biotic Interactions
Description: A programmatic interface to the web service methods provided by Global Biotic Interactions (GloBI). GloBI provides access to spatial-temporal species interaction records from sources all over the world. rglobi provides methods to search species interactions by location, interaction type, and taxonomic name. In addition, it supports Cypher, a graph query language, to allow for executing custom queries on the GloBI aggregate species interaction data set.
Author: Jorrit Poelen [aut, cre], Stephen Gosnell [aut], Sergey Slyusarev [aut]
Maintainer: Jorrit Poelen <jhpoelen@xs4all.nl>

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Package histogram updated to version 0.0-25 with previous version 0.0-24 dated 2016-10-16

Title: Construction of Regular and Irregular Histograms with Different Options for Automatic Choice of Bins
Description: Automatic construction of regular and irregular histograms as described in Rozenholc/Mildenberger/Gather (2010).
Author: Thoralf Mildenberger [aut, cre], Yves Rozenholc [aut], David Zasada [aut]
Maintainer: Thoralf Mildenberger <mild@zhaw.ch>

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Package baRcodeR updated to version 0.1.3 with previous version 0.1.2 dated 2019-01-10

Title: Labelling, Tracking, and Collecting Data from Biological Samples
Description: Tools to generate unique identifiers and printable barcoded labels for sample management. The creation of unique ID codes and printable PDF files can be initiated by standard commands, user prompts, or through a GUI addin for R Studio. Both single-level and hierarchical labels can be created in the command line interactively or non-interactively.
Author: Yihan Wu [aut], Robert Colautti [aut, cre]
Maintainer: Robert Colautti <robert.colautti@queensu.ca>

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Package ypr updated to version 0.3.1 with previous version 0.3.0 dated 2018-11-26

Title: Yield Per Recruit
Description: An implementation of equilibrium-based yield per recruit methods. Yield per recruit methods can used to estimate the optimal yield for a fish population. The yield can be based on the number of fish caught (or harvested) or biomass caught for all fish or just large (trophy) individuals.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>)
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package StratigrapheR updated to version 0.0.5 with previous version 0.0.4 dated 2019-04-18

Title: Integrated Stratigraphy
Description: Includes bases for litholog generation: graphical functions based on R base graphics, interval management functions and svg importation functions among others. Also include stereographic projection functions, and other functions made to deal with large datasets while keeping options to get into the details of the data. When using for publication please cite Wouters, S., Da Silva, A.C. Crucifix, M., Sinnesael, M., Zivanovic, M., Boulvain, F., Devleeschouwer, X., 2019, Litholog generation with the StratigrapheR package and signal decomposition for cyclostratigraphic purposes. Geophysical Research Abstracts Vol. 21, EGU2019-5520, 2019, EGU General Assembly 2019. <http://hdl.handle.net/2268/234402> The palaeomagnetism functions are based on: Tauxe, L., 2010. Essentials of Paleomagnetism. University of California Press. <https://earthref.org/MagIC/books/Tauxe/Essentials/>; Allmendinger, R. W., Cardozo, N. C., and Fisher, D., 2013, Structural Geology Algorithms: Vectors & Tensors: Cambridge, England, Cambridge University Press, 289 pp.; Cardozo, N., and Allmendinger, R. W., 2013, Spherical projections with OSXStereonet: Computers & Geosciences, v. 51, no. 0, p. 193 - 205, <doi: 10.1016/j.cageo.2012.07.021>.
Author: Sebastien Wouters [aut, cre], Adam D. Smith [ctb]
Maintainer: Sebastien Wouters <sebastien.wouters@doct.uliege.be>

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Package rollRegres updated to version 0.1.2 with previous version 0.1.1 dated 2018-09-12

Title: Fast Rolling and Expanding Window Linear Regression
Description: Methods for fast rolling and expanding linear regression models. That is, series of linear regression models estimated on either an expanding window of data or a moving window of data. The methods use rank-one updates and downdates of the upper triangular matrix from a QR decomposition (see Dongarra, Moler, Bunch, and Stewart (1979) <doi:10.1137/1.9781611971811>).
Author: Benjamin Christoffersen [cre, aut]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>

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Package phateR updated to version 0.4.1 with previous version 0.4.0 dated 2019-04-13

Title: PHATE - Potential of Heat-Diffusion for Affinity-Based Transition Embedding
Description: PHATE is a tool for visualizing high dimensional single-cell data with natural progressions or trajectories. PHATE uses a novel conceptual framework for learning and visualizing the manifold inherent to biological systems in which smooth transitions mark the progressions of cells from one state to another. To see how PHATE can be applied to single-cell RNA-seq datasets from hematopoietic stem cells, human embryonic stem cells, and bone marrow samples, check out our preprint on bioRxiv at <http://biorxiv.org/content/early/2017/03/24/120378>.
Author: Krishnan Srinivasan [aut], Scott Gigante [cre] (<https://orcid.org/0000-0002-4544-2764>)
Maintainer: Scott Gigante <scott.gigante@yale.edu>

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Package mcmcr updated to version 0.1.0 with previous version 0.0.3 dated 2018-11-24

Title: Manipulate MCMC Samples
Description: Functions and classes to store, manipulate and summarise Monte Carlo Markov Chain (MCMC) samples.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>)
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package liquidSVM (with last version 1.2.2.1) was removed from CRAN

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

2019-03-02 1.2.2.1
2019-01-10 1.2.2
2017-07-19 1.2.1
2017-07-15 1.2.0
2017-03-02 1.0.1
2017-02-24 1.0.0

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Package nzilbb.labbcat updated to version 0.2-2 with previous version 0.2-1 dated 2019-04-24

Title: Accessing Data Stored in 'LaBB-CAT' Instances
Description: 'LaBB-CAT' is a web-based language corpus management system developed by the New Zealand Institute of Language, Brain and Behaviour (NZILBB) - see <https://labbcat.canterbury.ac.nz>. This package defines functions for accessing corpus data in a 'LaBB-CAT' instance. You must have at least version 20190425.1121 of 'LaBB-CAT' to use this package. For more information about 'LaBB-CAT', see Robert Fromont and Jennifer Hay (2008) <doi:10.3366/E1749503208000142> or Robert Fromont (2017) <doi:10.1016/j.csl.2017.01.004>.
Author: Robert Fromont [aut, cre]
Maintainer: Robert Fromont <robert.fromont@canterbury.ac.nz>

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Package aweek updated to version 0.2.2 with previous version 0.2.0 dated 2019-03-08

Title: Convert Dates to Arbitrary Week Definitions
Description: Which day a week starts depends heavily on the either the local or professional context. This package is designed to be a lightweight solution to easily switching between week-based date definitions.
Author: Zhian N. Kamvar [aut, cre]
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>

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Package microPop updated to version 1.4.1 with previous version 1.4 dated 2018-05-22

Title: Modelling Microbial Populations
Description: Modelling interacting microbial populations - example applications include human gut microbiota, rumen microbiota and phytoplankton. Solves a system of ordinary differential equations to simulate microbial growth and resource uptake over time.
Author: Helen Kettle [aut, cre]
Maintainer: Helen Kettle <Helen.Kettle@bioss.ac.uk>

Diff between microPop versions 1.4 dated 2018-05-22 and 1.4.1 dated 2019-04-26

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Package kvh updated to version 1.4 with previous version 1.3 dated 2018-06-15

Title: Read/Write Files in Key-Value-Hierarchy Format
Description: The format KVH is a lightweight format that can be read/written both by humans and machines. It can be useful in situations where XML or alike formats seem to be an overkill. We provide an ability to parse KVH files in R pretty fast due to 'Rcpp' use.
Author: Serguei Sokol
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between kvh versions 1.3 dated 2018-06-15 and 1.4 dated 2019-04-26

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Package rdatamarket (with last version 0.6.5) was removed from CRAN

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

2014-11-24 0.6.5
2012-02-06 0.6.4
2011-10-26 0.6.3
2011-08-30 0.6.2
2011-08-26 0.6.1
2011-08-23 0.6

Permanent link
Package LSTS (with last version 1.0) was removed from CRAN

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

2015-10-01 1.0

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Package simode updated to version 1.1.4 with previous version 1.1.2 dated 2019-01-21

Title: Statistical Inference for Systems of Ordinary Differential Equations using Separable Integral-Matching
Description: Implements statistical inference for systems of ordinary differential equations, that uses the integral-matching criterion and takes advantage of the separability of parameters, in order to obtain initial parameter estimates for nonlinear least squares optimization. Dattner & Yaari (2018) <arXiv:1807.04202>. Dattner et al. (2017) <doi:10.1098/rsif.2016.0525>. Dattner & Klaassen (2015) <doi:10.1214/15-EJS1053>.
Author: Itai Dattner [aut], Rami Yaari [aut, cre]
Maintainer: Rami Yaari <ramiyaari@gmail.com>

Diff between simode versions 1.1.2 dated 2019-01-21 and 1.1.4 dated 2019-04-26

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Package sazedR updated to version 2.0.0 with previous version 1.0.0 dated 2018-09-30

Title: Parameter-Free Domain-Agnostic Season Length Detection in Time Series
Description: Spectral and Average Autocorrelation Zero Distance Density ('sazed') is a method for estimating the season length of a seasonal time series. 'sazed' is aimed at practitioners, as it employs only domain-agnostic preprocessing and does not depend on parameter tuning or empirical constants. The computation of 'sazed' relies on the efficient autocorrelation computation methods suggested by Thibauld Nion (2012, URL: <http://www.tibonihoo.net/literate_musing/autocorrelations.html>) and by Bob Carpenter (2012, URL: <https://lingpipe-blog.com/2012/06/08/autocorrelation-fft-kiss-eigen/>).
Author: Maximilian Toller [aut], Tiago Santos [aut, cre], Roman Kern [aut]
Maintainer: Tiago Santos <teixeiradossantos@tugraz.at>

Diff between sazedR versions 1.0.0 dated 2018-09-30 and 2.0.0 dated 2019-04-26

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Package VLMC updated to version 1.4-3 with previous version 1.4-2 dated 2018-10-03

Title: Variable Length Markov Chains ('VLMC') Models
Description: Functions, Classes & Methods for estimation, prediction, and simulation (bootstrap) of Variable Length Markov Chain ('VLMC') Models.
Author: Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between VLMC versions 1.4-2 dated 2018-10-03 and 1.4-3 dated 2019-04-26

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Package daff updated to version 0.3.4 with previous version 0.3.0 dated 2017-05-10

Title: Diff, Patch and Merge for Data.frames
Description: Diff, patch and merge for data frames. Document changes in data sets and use them to apply patches. Changes to data can be made visible by using render_diff. The V8 package is used to wrap the 'daff.js' JavaScript library which is included in the package.
Author: Paul Fitzpatrick [aut] (JavaScript original, http://paulfitz.github.io/daff/), Edwin de Jonge [aut, cre] (R wrapper, <https://orcid.org/0000-0002-6580-4718>), Gregory R. Warnes [aut]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

Diff between daff versions 0.3.0 dated 2017-05-10 and 0.3.4 dated 2019-04-26

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Package pre updated to version 0.7.1 with previous version 0.7.0 dated 2019-04-01

Title: Prediction Rule Ensembles
Description: Derives prediction rule ensembles (PREs). Largely follows the procedure for deriving PREs as described in Friedman & Popescu (2008; <DOI:10.1214/07-AOAS148>), with adjustments and improvements. The main function pre() derives prediction rule ensembles consisting of rules and/or linear terms for continuous, binary, count, multinomial, and multivariate continuous responses. Function gpe() derives generalized prediction ensembles, consisting of rules, hinge and linear functions of the predictor variables.
Author: Marjolein Fokkema [aut, cre], Benjamin Christoffersen [aut]
Maintainer: Marjolein Fokkema <m.fokkema@fsw.leidenuniv.nl>

Diff between pre versions 0.7.0 dated 2019-04-01 and 0.7.1 dated 2019-04-26

 DESCRIPTION                                                     |    6 
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New package SplitReg with initial version 1.0.0
Package: SplitReg
Type: Package
Title: Split Regularized Regression
Version: 1.0.0
Date: 2019-04-14
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Ezequiel Smucler <ezequiels.90@gmail.com>, Ruben Zamar <ruben@stat.ubc.ca>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions for computing split regularized estimators defined in Christidis, Lakshmanan, Smucler and Zamar (2019) <arXiv:1712.03561>. The approach fits linear regression models that split the set of covariates into groups. The optimal split of the variables into groups and the regularized estimation of the regression coefficients are performed by minimizing an objective function that encourages sparsity within each group and diversity among them. The estimated coefficients are then pooled together to form the final fit.
License: GPL (>= 2)
Biarch: true
Imports: Rcpp (>= 0.12.12)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, glmnet, MASS
NeedsCompilation: yes
RoxygenNote: 6.1.0
Packaged: 2019-04-25 22:55:01 UTC; antho
Repository: CRAN
Date/Publication: 2019-04-26 09:20:02 UTC

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New package restatapi with initial version 0.1.4
Package: restatapi
Type: Package
Title: Search and Retrieve Data from Eurostat Database
Date: 2019-04-26
Version: 0.1.4
Encoding: UTF-8
Authors@R: person("Mátyás", "Mészáros", email = "matyas.meszaros@ec.europa.eu", role = c("aut", "cre"))
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX <https://sdmx.org>) Web Services (<https://ec.europa.eu/eurostat/web/sdmx-web-services/about-this-service>) to search and download data from the Eurostat database using the SDMX standard.
License: EUPL-1.1
Imports: data.table, parallel, rjson, rsdmx, xml2
Suggests: knitr, rmarkdown, testthat
LazyData: true
NeedsCompilation: no
RoxygenNote: 6.1.1
URL: https://github.com/eurostat/restatapi
BugReports: https://github.com/eurostat/restatapi/issues
Packaged: 2019-04-26 06:16:02 UTC; meszama
Author: Mátyás Mészáros [aut, cre]
Maintainer: Mátyás Mészáros <matyas.meszaros@ec.europa.eu>
Repository: CRAN
Date/Publication: 2019-04-26 09:50:03 UTC

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Package onewaytests updated to version 2.2 with previous version 2.1 dated 2019-04-05

Title: One-Way Tests in Independent Groups Designs
Description: Performs one-way tests in independent groups designs; one-way analysis of variance (ANOVA), Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed means and Winsorized variances, Brown-Forsythe test, Alexander-Govern test, James second order test, Kruskal-Wallis test, Scott-Smith test, Box F test and Johansen F test. The package performs pairwise comparisons and graphical approaches. Also, the package includes Student's t test, Welch's t test and Mann-Whitney U test for two samples. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots (Dag et al., 2018, <https://journal.r-project.org/archive/2018/RJ-2018-022/RJ-2018-022.pdf>).
Author: Osman Dag [aut, cre], Anil Dolgun [aut], N. Meric Konar [aut]
Maintainer: Osman Dag <osman.dag@outlook.com>

Diff between onewaytests versions 2.1 dated 2019-04-05 and 2.2 dated 2019-04-26

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New package nutriNetwork with initial version 0.1.1
Package: nutriNetwork
Type: Package
Title: Structure Learning with Copula Graphical Model
Version: 0.1.1
Author: Pariya Behrouzi <https://orcid.org/0000-0001-6762-5433>
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>
Depends: R (>= 3.1.0)
Imports: Matrix, igraph, parallel, methods, glasso, huge, tmvtnorm
Description: Statistical tool for learning the structure of direct associations among variables for continuous data, discrete data and mixed discrete-continuous data. The package is based on the copula graphical model in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287>.
License: GPL-3
Date: 2019-04-23
NeedsCompilation: no
Packaged: 2019-04-26 08:35:09 UTC; behro001
Repository: CRAN
Date/Publication: 2019-04-26 10:00:02 UTC

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New package circumplex with initial version 0.3.0
Type: Package
Package: circumplex
Title: Analysis and Visualization of Circular Data
Version: 0.3.0
Authors@R: c(person(given = "Jeffrey", family = "Girard", role = c("aut", "cre"), email = "me@jmgirard.com", comment = c(ORCID = "0000-0002-7359-3746")), person(given = "Johannes", family = "Zimmermann", role = "aut", comment = c(ORCID = "0000-0001-6975-2356")), person(given = "Aidan", family = "Wright", role = "aut", comment = c(ORCID = "0000-0002-2369-0601")))
Description: Tools for analyzing and visualizing circular data, including scoring functions for relevant instruments and a generalization of the bootstrapped structural summary method from Zimmermann & Wright (2017) <doi:10.1177/1073191115621795> and functions for creating publication-ready tables and figures from the results. Future versions will include tools for circular fit and reliability analyses, as well as visualization enhancements.
License: GPL-3
URL: https://github.com/jmgirard/circumplex
BugReports: https://github.com/jmgirard/circumplex/issues
Depends: R (>= 3.3.0)
Imports: assertthat (>= 0.2.1), boot (>= 1.3-18), dplyr (>= 0.8.0.1), ggforce (>= 0.2.2), ggplot2 (>= 3.1.1), glue (>= 1.3.1), htmlTable (>= 1.13.1), magrittr (>= 1.5), purrr (>= 0.3.2), Rcpp (>= 1.0.1), rlang (>= 0.3.4), stats, tibble (>= 2.1.1), tidyr (>= 0.8.3)
Suggests: covr (>= 3.2.1), kableExtra (>= 1.1.0), knitr (>= 1.22), rmarkdown (>= 1.12), roxygen2 (>= 6.1.1), testthat (>= 2.1.1)
LinkingTo: Rcpp (>= 1.0.1), RcppArmadillo (>= 0.9.300.2.0)
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-04-26 06:05:32 UTC; jmgirard
Author: Jeffrey Girard [aut, cre] (<https://orcid.org/0000-0002-7359-3746>), Johannes Zimmermann [aut] (<https://orcid.org/0000-0001-6975-2356>), Aidan Wright [aut] (<https://orcid.org/0000-0002-2369-0601>)
Maintainer: Jeffrey Girard <me@jmgirard.com>
Repository: CRAN
Date/Publication: 2019-04-26 09:30:06 UTC

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New package CausalKinetiX with initial version 0.1
Package: CausalKinetiX
Title: Learning Stable Structures in Kinetic Systems
Version: 0.1
Authors@R: c( person(given = "Niklas", family = "Pfister", role = c("aut", "cre"), email = "niklas.pfister@stat.math.ethz.ch"), person(given = "Stefan", family = "Bauer", role = c("aut"), email = "stefan.bauer@inf.ethz.ch"), person(given = "Jonas", family = "Peters", role = c("aut"), email = "jonas.peters@math.ku.dk"))
Description: Implementation of 'CausalKinetiX', a framework for learning stable structures in kinetic systems. Apart from the main functions CausalKinetiX() and CausalKinetiX.modelranking() it includes functions to generate data from three simulations models, which can be used to benchmark structure learning methods for linear ordinary differential equation models. A detailed description of the underlying methods as well as details on the examples are given in Pfister, Bauer and Peters (2018) <arXiv:1810.11776>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: fda, cvTools, quadprog, randomForest, deSolve, stats, graphics, pspline, utils, glmnet, nnlasso, sundialr
NeedsCompilation: no
Packaged: 2019-04-26 08:45:12 UTC; pfisteni
Author: Niklas Pfister [aut, cre], Stefan Bauer [aut], Jonas Peters [aut]
Maintainer: Niklas Pfister <niklas.pfister@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2019-04-26 10:00:06 UTC

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Package bisque updated to version 1.0.1 with previous version 1.0.0 dated 2019-04-24

Title: Approximate Bayesian Inference via Sparse Grid Quadrature Evaluation (BISQuE) for Hierarchical Models
Description: Implementation of the 'bisque' strategy for approximate Bayesian posterior inference. See Hewitt and Hoeting (2019) <arXiv:1904.07270> for complete details. 'bisque' combines conditioning with sparse grid quadrature rules to approximate marginal posterior quantities of hierarchical Bayesian models. The resulting approximations are computationally efficient for many hierarchical Bayesian models. The 'bisque' package allows approximate posterior inference for custom models; users only need to specify the conditional densities required for the approximation.
Author: Joshua Hewitt
Maintainer: Joshua Hewitt <joshua.hewitt@colostate.edu>

Diff between bisque versions 1.0.0 dated 2019-04-24 and 1.0.1 dated 2019-04-26

 DESCRIPTION   |    8 ++++----
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Package BHSBVAR updated to version 1.0.3 with previous version 1.0.2 dated 2019-03-20

Title: Structural Bayesian Vector Autoregression Models
Description: Provides a function for estimating the parameters of Structural Bayesian Vector Autoregression models with the method developed by Baumeister and Hamilton (2015) <doi:10.3982/ECTA12356>, Baumeister and Hamilton (2017) <doi:10.3386/w24167>, and Baumeister and Hamilton (2018) <doi:10.1016/j.jmoneco.2018.06.005>. Functions for plotting impulse responses, historical decompositions, and posterior distributions of model parameters are also provided.
Author: Paul Richardson
Maintainer: Paul Richardson <p.richardson.54391@gmail.com>

Diff between BHSBVAR versions 1.0.2 dated 2019-03-20 and 1.0.3 dated 2019-04-26

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New package gestate with initial version 1.3.2
Package: gestate
Title: Generalised Survival Trial Assessment Tool Environment
Version: 1.3.2
Authors@R: c( person("James", "Bell", email = "james.bell.ext@boehringer-ingelheim.com", role = c("aut", "cre")), person("Jasmin", "Ruehl", email = "",role = "ctb"))
Description: Provides tools to assist planning and monitoring of time-to-event trials under complicated censoring assumptions and/or non-proportional hazards. There are three main components: The first is analytic calculation of predicted time-to-event trial properties, providing estimates of expected hazard ratio, event numbers and power under different analysis methods. The second is simulation, allowing calculation of these same properties. Finally, it also provides parametric event prediction using blinded trial data, including creation of confidence intervals. Methods are based upon numerical integration and a flexible object-orientated structure for defining event, censoring and recruitment curves.
Depends: R (>= 3.5.0)
Imports: foreach, doParallel, shiny, shinythemes, survRM2, survival, methods
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-04-25 11:14:57 UTC; James
Author: James Bell [aut, cre], Jasmin Ruehl [ctb]
Maintainer: James Bell <james.bell.ext@boehringer-ingelheim.com>
Repository: CRAN
Date/Publication: 2019-04-26 08:20:04 UTC

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Package classInt updated to version 0.3-3 with previous version 0.3-1 dated 2018-12-18

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

Diff between classInt versions 0.3-1 dated 2018-12-18 and 0.3-3 dated 2019-04-26

 DESCRIPTION                 |   12 ++++-----
 MD5                         |   12 ++++-----
 NAMESPACE                   |    1 
 R/classInt.R                |   39 +++++++++++++++++++++++++++++--
 man/classIntervals.Rd       |   49 ++++++++++++++++++++++++++-------------
 tests/test_Unique.R         |   13 ++++++----
 tests/test_Unique.Rout.save |   54 ++++++++++++++++++++------------------------
 7 files changed, 115 insertions(+), 65 deletions(-)

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New package admisc with initial version 0.1
Package: admisc
Version: 0.1
Date: 2019-04-25
Title: Adrian Dusa's Miscellaneous
Authors@R: c(person("Adrian", "Dusa", role = c("aut", "cre", "cph"), email = "dusa.adrian@unibuc.ro"))
Depends: R (>= 3.5.0)
Imports: methods
Suggests: QCA
Description: Contains functions used across packages 'QCA', 'DDIwR', and 'venn'. Interprets and translates DNF - Disjunctive Normal Form expressions, for both binary and multi-value crisp sets, and extracts information (set names, set values) from those expressions. Other functions perform various other checks if possibly numeric (even if all numbers reside in a character vector) and coerce to numeric, or check if the numbers are whole. It also offers, among many others, a highly flexible recoding function.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-04-25 13:59:16 UTC; dusadrian
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>
Repository: CRAN
Date/Publication: 2019-04-26 08:30:03 UTC

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New package whereami with initial version 0.1.8
Package: whereami
Type: Package
Title: Reliably Return the Source and Call Location of a Command
Description: Robust and reliable functions to return informative outputs to console with the run or source location of a command. This can be from the 'RScript'/R terminal commands or 'RStudio' console, source editor, 'Rmarkdown' document and a Shiny application.
Version: 0.1.8
Authors@R: c( person(given = "Jonathan", family = "Sidi", email = "yonicd@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4222-1819")), person("Colin", "Fay", email = "contact@colinfay.me", role = c("ctb"), comment=c(ORCID="0000-0001-7343-1846")), person("Kirill", "M\u00fcller", role = c("aut"), email = "krlmlr+r@mailbox.org", comment = c(ORCID = "0000-0002-1416-3412")) )
License: MIT + file LICENSE
Depends: R (>= 3.2.0)
Imports: rstudioapi, utils, rprojroot, cli
URL: https://github.com/yonicd/whereami
BugReports: https://github.com/yonicd/whereami/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: magrittr, ggplot2, kableExtra, testthat, covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-04-25 13:04:28 UTC; yonis
Author: Jonathan Sidi [aut, cre] (<https://orcid.org/0000-0002-4222-1819>), Colin Fay [ctb] (<https://orcid.org/0000-0001-7343-1846>), Kirill Müller [aut] (<https://orcid.org/0000-0002-1416-3412>)
Maintainer: Jonathan Sidi <yonicd@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-26 07:40:04 UTC

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Package powdR updated to version 1.0.0 with previous version 0.2.0 dated 2018-11-15

Title: Full Pattern Summation of X-Ray Powder Diffraction Data
Description: Full pattern summation of X-ray powder diffraction data as described in Chipera and Bish (2002) <doi:10.1107/S0021889802017405>. Derives quantitative estimates of crystalline and amorphous phase concentrations in complex mixtures.
Author: Benjamin Butler [aut, cre], Stephen Hillier [aut], Dylan Beaudette [ctb], Dennis Eberl [ctb]
Maintainer: Benjamin Butler <benjamin.butler@hutton.ac.uk>

Diff between powdR versions 0.2.0 dated 2018-11-15 and 1.0.0 dated 2019-04-26

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More information about powdR at CRAN
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Package cmfilter (with last version 0.9.0) was removed from CRAN

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

2019-04-11 0.9.0

Permanent link
Package CDECRetrieve (with last version 0.1.4) was removed from CRAN

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

2019-04-10 0.1.4

Permanent link
Package glmaag (with last version 0.0.4) was removed from CRAN

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

2019-04-13 0.0.4
2019-04-11 0.0.3

Permanent link
Package mitools updated to version 2.4 with previous version 2.3 dated 2014-09-20

Title: Tools for Multiple Imputation of Missing Data
Description: Tools to perform analyses and combine results from multiple-imputation datasets.
Author: Thomas Lumley
Maintainer: Thomas Lumley <t.lumley@auckland.ac.nz>

Diff between mitools versions 2.3 dated 2014-09-20 and 2.4 dated 2019-04-26

 DESCRIPTION        |   14 +++++++-------
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More information about mitools at CRAN
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Package lessR updated to version 3.8.4 with previous version 3.8.2 dated 2019-03-28

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation and rendering of R markdown instructions for interpretative output.
Author: David W. Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 3.8.2 dated 2019-03-28 and 3.8.4 dated 2019-04-26

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 lessR-3.8.4/lessR/R/CountAll.R             |    4 
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More information about lessR at CRAN
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