Thu, 23 Apr 2020

Package xml2 updated to version 1.3.2 with previous version 1.3.1 dated 2020-04-09

Title: Parse XML
Description: Work with XML files using a simple, consistent interface. Built on top of the 'libxml2' C library.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], Jeroen Ooms [aut], RStudio [cph], R Foundation [ctb] (Copy of R-project homepage cached as example)
Maintainer: Jim Hester <jim.hester@rstudio.com>

Diff between xml2 versions 1.3.1 dated 2020-04-09 and 1.3.2 dated 2020-04-23

 DESCRIPTION                    |    6 +++---
 MD5                            |   22 +++++++++++-----------
 NEWS.md                        |    8 ++++++++
 R/xml_name.R                   |    3 ---
 R/xml_parse.R                  |    7 +++++--
 README.md                      |    1 -
 build/vignette.rds             |binary
 build/xml2.pdf                 |binary
 configure                      |    7 +++++++
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 src/xml2_doc.cpp               |    4 ++--
 tests/testthat/test-read-xml.R |    9 +++++++++
 12 files changed, 51 insertions(+), 28 deletions(-)

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Package ropenblas updated to version 0.2.4 with previous version 0.2.3 dated 2020-04-13

Title: Download, Compile and Link 'OpenBLAS' Library with R
Description: The 'ropenblas' package (<https://prdm0.github.io/ropenblas/>) is useful for users of any 'GNU/Linux' distribution. It will be possible to download, compile and link the 'OpenBLAS' library (<https://www.openblas.net/>) with the R language, always by the same procedure, regardless of the 'GNU/Linux' distribution used. With the 'ropenblas' package it is possible to download, compile and link the latest version of the 'OpenBLAS' library even the repositories of the 'GNU/Linux' distribution used do not include the latest versions of 'OpenBLAS'. If of interest, older versions of the 'OpenBLAS' library may be considered. Linking R with an optimized version of 'BLAS' (<http://www.netlib.org/blas/>) may improve the computational performance of R code. The 'OpenBLAS' library is an optimized implementation of 'BLAS' that can be easily linked to R with the 'ropenblas' package.
Author: Pedro Rafael D. Marinho [aut, cre]
Maintainer: Pedro Rafael D. Marinho <pedro.rafael.marinho@gmail.com>

Diff between ropenblas versions 0.2.3 dated 2020-04-13 and 0.2.4 dated 2020-04-23

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Package cat.dt updated to version 0.2.0 with previous version 0.1.0 dated 2019-08-06

Title: Computerized Adaptive Testing and Decision Trees
Description: Implements the Merged Tree-CAT method (Javier Rodriguez-Cuadrado et al., 2020, <doi:10.1016/j.eswa.2019.113066>) to generate Computerized Adaptive Tests (CATs) based on a decision tree. The tree growth is controlled by merging branches with similar trait distributions and estimations. This package has the necessary tools for creating CATs and estimate the subject's ability level.
Author: Javier Rodriguez-Cuadrado [aut, cre], Juan C. Laria [aut], David Delgado-Gomez [aut]
Maintainer: Javier Rodriguez-Cuadrado <javierro@est-econ.uc3m.es>

Diff between cat.dt versions 0.1.0 dated 2019-08-06 and 0.2.0 dated 2020-04-23

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 23 files changed, 245 insertions(+), 78 deletions(-)

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Package interflex updated to version 1.1.3 with previous version 1.0.8 dated 2019-06-20

Title: Multiplicative Interaction Models Diagnostics and Visualization
Description: Performs diagnostic tests of multiplicative interaction models and plots non-linear marginal effects of a treatment on an outcome across different values of a moderator.
Author: Jens Hainmueller, Jonathan Mummolo, Yiqing Xu and Ziyi Liu
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

Diff between interflex versions 1.0.8 dated 2019-06-20 and 1.1.3 dated 2020-04-23

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 42 files changed, 635 insertions(+), 2437 deletions(-)

More information about interflex at CRAN
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Package openmetrics updated to version 0.1.1 with previous version 0.1.0 dated 2020-04-14

Title: A 'Prometheus' Client for R Using the 'OpenMetrics' Format
Description: Provides a client for the open-source monitoring and alerting toolkit, 'Prometheus', that emits metrics in the 'OpenMetrics' format. Allows users to automatically instrument 'Plumber' and 'Shiny' applications, collect standard process metrics, as well as define custom counter, gauge, and histogram metrics of their own.
Author: Aaron Jacobs [aut, cre], Crescendo Technology Ltd. [cph]
Maintainer: Aaron Jacobs <atheriel@gmail.com>

Diff between openmetrics versions 0.1.0 dated 2020-04-14 and 0.1.1 dated 2020-04-23

 DESCRIPTION  |    6 +++---
 MD5          |    6 +++---
 NEWS.md      |    6 ++++++
 R/defaults.R |    4 +++-
 4 files changed, 15 insertions(+), 7 deletions(-)

More information about openmetrics at CRAN
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Package gprofiler2 updated to version 0.1.9 with previous version 0.1.8 dated 2019-12-18

Title: Interface to the 'g:Profiler' Toolset
Description: A toolset for functional enrichment analysis and visualization, gene/protein/SNP identifier conversion and mapping orthologous genes across species via 'g:Profiler' (<https://biit.cs.ut.ee/gprofiler>). The main tools are: (1) 'g:GOSt' - functional enrichment analysis and visualization of gene lists; (2) 'g:Convert' - gene/protein/transcript identifier conversion across various namespaces; (3) 'g:Orth' - orthology search across species; (4) 'g:SNPense' - mapping SNP rs identifiers to chromosome positions, genes and variant effects This package is an R interface corresponding to the 2019 update of 'g:Profiler' and provides access to 'g:Profiler' for versions 'e94_eg41_p11' and higher. See the package 'gProfileR' for accessing older versions from the 'g:Profiler' toolset.
Author: Liis Kolberg <liis.kolberg@ut.ee>, Uku Raudvere <uku.raudvere@ut.ee>
Maintainer: Liis Kolberg <liis.kolberg@ut.ee>

Diff between gprofiler2 versions 0.1.8 dated 2019-12-18 and 0.1.9 dated 2020-04-23

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 20 files changed, 829 insertions(+), 447 deletions(-)

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Permanent link

New package flair with initial version 0.0.2
Package: flair
Title: Highlight, Annotate, and Format your R Source Code
Version: 0.0.2
Authors@R: c(person(given = "Kelly", family = "Bodwin", role = c("aut", "cre"), email = "kelly@bodwin.us"), person(given = "Hunter", family = "Glanz", role = "aut"))
Description: Facilitates easier formatting and highlighting of R source code in a R Markdown-based presentation. The main goal of the package is to allow users to preserve their code creation process within code chunks, then to specify formatting details for the source code, such as highlighting of particular syntactical elements.
License: MIT + file LICENSE
URL: https://github.com/kbodwin/flair, https://kbodwin.github.io/flair/index.html
BugReports: https://github.com/kbodwin/flair/issues
Imports: dplyr, evaluate, ggplot2, glue, knitr, magrittr, purrr, rmarkdown, stringr
Suggests: learnr, rstudioapi, shiny, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-15 22:07:38 UTC; kbodwin
Author: Kelly Bodwin [aut, cre], Hunter Glanz [aut]
Maintainer: Kelly Bodwin <kelly@bodwin.us>
Repository: CRAN
Date/Publication: 2020-04-23 18:00:05 UTC

More information about flair at CRAN
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New package einet with initial version 0.1.0
Package: einet
Type: Package
Title: Effective Information and Causal Emergence
Version: 0.1.0
Authors@R: c( person("Travis", "Byrum", email = "tbyrum@terpmail.umd.edu", role = c("aut", "cre")), person("Anshuman", "Swain", email = "answain@terpmail.umd.edu", role = c("aut")), person("Brennan", "Klein", email = "klein.br@northeastern.edu", role = c("aut")), person("William", "Fagan", email = "bfagan@umd.edu", role = c("aut")) )
Description: Methods and utilities for causal emergence. Used to explore and compute various information theory metrics for networks, such as effective information, effectiveness and causal emergence.
License: MIT + file LICENSE
URL: https://github.com/travisbyrum/einet
BugReports: https://github.com/travisbyrum/einet/issues
Depends: R (>= 3.2.0)
Encoding: UTF-8
LazyData: true
Imports: assertthat, igraph, magrittr, shiny, entropy
Suggests: testthat, RColorBrewer, knitr, rmarkdown, bench
VignetteBuilder: knitr
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-04-20 08:27:09 UTC; travisbyrum
Author: Travis Byrum [aut, cre], Anshuman Swain [aut], Brennan Klein [aut], William Fagan [aut]
Maintainer: Travis Byrum <tbyrum@terpmail.umd.edu>
Repository: CRAN
Date/Publication: 2020-04-23 17:20:03 UTC

More information about einet at CRAN
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New package dosedesignR with initial version 0.2.4
Package: dosedesignR
Type: Package
Title: Interactive Designing of Dose Finding Studies
Version: 0.2.4
Author: F. Mendolia, K. Walkamp, K. Roth, T. Schmelter, C. Neumann, Z. Gao, A. Kaiser, S. Jeske, H. Kulmann
Maintainer: T. Schmelter <thomas.schmelter@bayer.com>
Description: Provides the user with an interactive application which can be used to facilitate the planning of dose finding studies by applying the theory of optimal experimental design (e.g., Ling (2006) <doi:10.1007/0-387-33706-7>).
License: GPL
Encoding: UTF-8
LazyData: true
Imports: shiny, shinyjs, ggplot2, DoseFinding, DT, lattice, latticeExtra
Suggests: knitr, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-04-20 07:35:45 UTC; sgrpp
Repository: CRAN
Date/Publication: 2020-04-23 17:10:02 UTC

More information about dosedesignR at CRAN
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Package wrMisc updated to version 1.2.0 with previous version 1.1.0 dated 2019-12-09

Title: Analyze Experimental High-Throughput (Omics) Data
Description: The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions. Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc. Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM) for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates). Other functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc. Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of large data-sets by combining very close values. Many times large experimental datasets need some additional filtering, adequate functions are provided. Batch reading (or writing) of sets of files and combining data to arrays is supported, too. Convenient data normalization is supported in various different modes, parameter estimation via permutations or boot-strap as well as flexible testing of multiple pair-wise combinations using the framework of 'limma' is provided, too.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>

Diff between wrMisc versions 1.1.0 dated 2019-12-09 and 1.2.0 dated 2020-04-23

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 165 files changed, 5305 insertions(+), 4863 deletions(-)

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Package staRdom updated to version 1.1.11 with previous version 1.1.10 dated 2020-04-02

Title: PARAFAC Analysis of EEMs from DOM
Description: This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.
Author: Matthias Pucher [aut, cre], Daniel Graeber [aut, ctb], Stefan Preiner [ctb], Renata Pinto [ctb]
Maintainer: Matthias Pucher <matthias.pucher@wcl.ac.at>

Diff between staRdom versions 1.1.10 dated 2020-04-02 and 1.1.11 dated 2020-04-23

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 README                                      |    3 +
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Package spatialrisk updated to version 0.6.7 with previous version 0.6.6 dated 2020-03-21

Title: Calculating Spatial Risk
Description: Methods for spatial risk calculations. It offers an efficient approach to determine the sum of all observations within a circle of a certain radius. This might be beneficial for insurers who are required (by a recent European Commission regulation) to determine the maximum value of insured fire risk policies of all buildings that are partly or fully located within a circle of a radius of 200m.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

Diff between spatialrisk versions 0.6.6 dated 2020-03-21 and 0.6.7 dated 2020-04-23

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New package retry with initial version 0.1.0
Package: retry
Type: Package
Title: Repeated Evaluation
Version: 0.1.0
Authors@R: c(person(given = "Randy", family = "Lai", role = c("aut", "cre"), email = "randy.cs.lai@gmail.com"))
Description: Provide simple mechanism to repeatedly evaluate an expression until either it succeeds or timeout exceeded. It is useful in situations that random failures could happen.
License: MIT + file LICENSE
URL: https://github.com/randy3k/retry
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Suggests: testthat (>= 2.1.0), covr
Imports: rlang, later
NeedsCompilation: no
Packaged: 2020-04-23 15:05:53 UTC; randy
Author: Randy Lai [aut, cre]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-23 16:40:03 UTC

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Package rdbnomics updated to version 0.6.1 with previous version 0.6.0 dated 2020-04-18

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

Diff between rdbnomics versions 0.6.0 dated 2020-04-18 and 0.6.1 dated 2020-04-23

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Package poweRlaw updated to version 0.70.5 with previous version 0.70.4 dated 2020-04-07

Title: Analysis of Heavy Tailed Distributions
Description: An implementation of maximum likelihood estimators for a variety of heavy tailed distributions, including both the discrete and continuous power law distributions. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.
Author: Colin Gillespie [aut, cre] (<https://orcid.org/0000-0003-1787-0275>)
Maintainer: Colin Gillespie <csgillespie@gmail.com>

Diff between poweRlaw versions 0.70.4 dated 2020-04-07 and 0.70.5 dated 2020-04-23

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Package multivariance updated to version 2.3.0 with previous version 2.2.0 dated 2019-06-18

Title: Measuring Multivariate Dependence Using Distance Multivariance
Description: Distance multivariance is a measure of dependence which can be used to detect and quantify dependence of arbitrarily many random vectors. The necessary functions are implemented in this packages and examples are given. It includes: distance multivariance, distance multicorrelation, dependence structure detection, tests of independence and copula versions of distance multivariance based on the Monte Carlo empirical transform. Detailed references are given in the package description, as starting point for the theoretic background we refer to: B. Böttcher, Dependence and Dependence Structures: Estimation and Visualization Using the Unifying Concept of Distance Multivariance. Open Statistics, Vol. 1, No. 1 (2020), <doi:10.1515/stat-2020-0001>.
Author: Björn Böttcher [aut, cre], Martin Keller-Ressel [ctb]
Maintainer: Björn Böttcher <bjoern.boettcher@tu-dresden.de>

Diff between multivariance versions 2.2.0 dated 2019-06-18 and 2.3.0 dated 2020-04-23

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Package mpMap2 updated to version 1.0.3 with previous version 1.0.2 dated 2020-04-07

Title: Genetic Analysis of Multi-Parent Recombinant Inbred Lines
Description: Constructing linkage maps, reconstructing haplotypes, estimating linkage disequilibrium and quantitative trait loci (QTL) mapping in multi-parent Recombinant Inbred Lines designs.
Author: Rohan Shah [aut, cre], Emma Huang [aut], Matthew Morell [ctb], Alex Whan [ctb], Colin Cavanagh [ctb]
Maintainer: Rohan Shah <cran@bookshah.com>

Diff between mpMap2 versions 1.0.2 dated 2020-04-07 and 1.0.3 dated 2020-04-23

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Package minMSE updated to version 0.3.1 with previous version 0.1.1 dated 2019-12-02

Title: Implementation of the minMSE Treatment Assignment Method for One or Multiple Treatment Groups
Description: Performs treatment assignment for (field) experiments considering available, possibly multivariate and continuous, information (covariates, observable characteristics), that is: forms balanced treatment groups, according to the minMSE-method as proposed by Schneider and Schlather (2017) <DOI:10419/161931>.
Author: Sebastian O. Schneider, Giulia Baldini
Maintainer: Sebastian O. Schneider <sschneider@coll.mpg.de>

Diff between minMSE versions 0.1.1 dated 2019-12-02 and 0.3.1 dated 2020-04-23

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Package lidR updated to version 2.2.4 with previous version 2.2.3 dated 2020-03-02

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015 for lassnags), Bourdon Jean-François [ctb] (Implemented sensor_tracking)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between lidR versions 2.2.3 dated 2020-03-02 and 2.2.4 dated 2020-04-23

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 39 files changed, 898 insertions(+), 804 deletions(-)

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New package JuliaConnectoR with initial version 0.6.0
Package: JuliaConnectoR
Type: Package
Title: A Functionally Oriented Interface for Integrating 'Julia' with R
Version: 0.6.0
Author: Stefan Lenz [aut, cre] (<https://orcid.org/0000-0001-9135-1743>), Harald Binder [aut] (<https://orcid.org/0000-0002-5666-8662>)
Maintainer: Stefan Lenz <stefan-m-lenz@web.de>
Authors@R: c(person("Stefan", "Lenz", role = c("aut", "cre"), email = "stefan-m-lenz@web.de", comment = c(ORCID = "0000-0001-9135-1743")), person("Harald", "Binder", role = c("aut"), comment = c(ORCID = "0000-0002-5666-8662")))
Description: Allows to import functions and whole packages from 'Julia' in R. Imported 'Julia' functions can directly be called as R functions. Data structures can be translated between 'Julia' and R.
License: MIT + file LICENCE
SystemRequirements: Julia >= 1.0
Encoding: UTF-8
RoxygenNote: 7.1.0
Suggests: testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2020-04-18 13:48:51 UTC; selectstern
Repository: CRAN
Date/Publication: 2020-04-23 16:30:14 UTC

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New package gvc with initial version 5.2.0
Package: gvc
Version: 5.2.0
Title: Global Value Chains Tools
Description: Several tools for Global Value Chain ('GVC') analysis are implemented.
Authors@R: c( person("Bastiaan", "Quast", email = "bquast@gmail.com", role = c("aut", "cre") ), person("Victor", "Kummritz", role = "aut") )
Maintainer: Bastiaan Quast <bquast@gmail.com>
Depends: R (>= 2.10)
License: GPL-3
URL: https://qua.st/gvc, https://github.com/bquast/gvc
BugReports: https://github.com/bquast/gvc/issues
Imports: decompr, diagonals
Suggests: testthat, knitr
VignetteBuilder: knitr
RoxygenNote: 7.1.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-04-23 08:54:51 UTC; bquast
Author: Bastiaan Quast [aut, cre], Victor Kummritz [aut]
Repository: CRAN
Date/Publication: 2020-04-23 16:20:05 UTC

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Package GE updated to version 0.0.7 with previous version 0.0.5 dated 2020-04-18

Title: General Equilibrium Modeling
Description: Some tools for developing general equilibrium models and some general equilibrium models. These models can be used for teaching economic theory and are built by the methods of new structural economics (see <https://www.nse.pku.edu.cn/> and LI Wu, 2019, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press).
Author: LI Wu <liwu@staff.shu.edu.cn>
Maintainer: LI Wu <liwu@staff.shu.edu.cn>

Diff between GE versions 0.0.5 dated 2020-04-18 and 0.0.7 dated 2020-04-23

 DESCRIPTION                         |    6 +--
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 NAMESPACE                           |    1 
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 22 files changed, 189 insertions(+), 149 deletions(-)

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Package FrF2 updated to version 2.2 with previous version 2.1-1 dated 2020-03-09

Title: Fractional Factorial Designs with 2-Level Factors
Description: Regular and non-regular Fractional Factorial 2-level designs can be created. Furthermore, analysis tools for Fractional Factorial designs with 2-level factors are offered (main effects and interaction plots for all factors simultaneously, cube plot for looking at the simultaneous effects of three factors, full or half normal plot, alias structure in a more readable format than with the built-in function alias).
Author: Ulrike Groemping
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>

Diff between FrF2 versions 2.1-1 dated 2020-03-09 and 2.2 dated 2020-04-23

 DESCRIPTION                         |    8 -
 MD5                                 |   48 +++++-----
 NAMESPACE                           |    2 
 R/CatalogueAccessors.R              |    3 
 R/FF_from_X.R                       |   29 +++++-
 R/FrF2.R                            |  165 ++++++++++++++++++++++--------------
 R/add.center.r                      |   21 +++-
 R/blockpick.R                       |   39 +++++---
 R/blocksplitplot.aliases.shortrep.R |   13 +-
 R/colpick.R                         |   36 ++++++-
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 tests/godolphintest.R               |    4 
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 26 files changed, 691 insertions(+), 202 deletions(-)

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Package finity updated to version 0.1.4.1 with previous version 0.1.4 dated 2020-04-17

Title: Test for Finiteness of Moments in a Distribution
Description: The purpose of this package is to tests whether a given moment of the distribution of a given sample is finite or not. For heavy-tailed distributions with tail exponent b, only moments of order smaller than b are finite. Tail exponent and heavy- tailedness are notoriously difficult to ascertain. But the finiteness of moments (including fractional moments) can be tested directly. This package does that following the test suggested by Trapani (2016) <doi:10.1016/j.jeconom.2015.08.006>.
Author: Torsten Heinrich [aut, cre], Julian Winkler [aut]
Maintainer: Torsten Heinrich <torsten.heinrich@posteo.net>

Diff between finity versions 0.1.4 dated 2020-04-17 and 0.1.4.1 dated 2020-04-23

 DESCRIPTION                |    8 ++++----
 MD5                        |    6 +++---
 build/partial.rdb          |binary
 src/finite_moment_test.cpp |    8 ++++++--
 4 files changed, 13 insertions(+), 9 deletions(-)

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Package FHDI updated to version 1.4.0 with previous version 1.3.2 dated 2019-06-11

Title: Fractional Hot Deck and Fully Efficient Fractional Imputation
Description: Impute general multivariate missing data with the fractional hot deck imputation based on Jaekwang Kim (2011) <doi:10.1093/biomet/asq073>.
Author: Inho Cho [aut, cre], Jaekwang Kim [aut], Jongho Im [aut], Yicheng Yang [aut]
Maintainer: Inho Cho <icho@iastate.edu>

Diff between FHDI versions 1.3.2 dated 2019-06-11 and 1.4.0 dated 2020-04-23

 DESCRIPTION          |   23 
 MD5                  |   18 
 R/FHDI_CellMake.R    |   31 
 R/FHDI_CellProb.R    |    5 
 R/FHDI_Driver.R      |   42 
 man/FHDI-package.Rd  |   11 
 man/FHDI_CellMake.Rd |   21 
 man/FHDI_CellProb.Rd |   11 
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 src/FHDI.cc          | 9573 ++++++++++++++++++++++++++++++++++++++++++++++++++-
 10 files changed, 9592 insertions(+), 166 deletions(-)

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Package FCPS updated to version 1.2.0 with previous version 1.1.0 dated 2020-03-13

Title: Fundamental Clustering Problems Suite
Description: Many conventional clustering algorithms are provided in this package with consistent input and output, which enables the user to try out algorithms swiftly. Additionally, 26 statistical approaches for the estimation of the number of clusters as well as the the mirrored density plot (MD-plot) of clusterability are implemented. Moreover, the fundamental clustering problems suite (FCPS) offers a variety of clustering challenges any algorithm should handle when facing real world data, see Thrun, M.C., Ultsch A.: "Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems" (2020), Data in Brief, <DOI:10.1016/j.dib.2020.105501>.
Author: Michael Thrun [aut, cre, cph] (<https://orcid.org/0000-0001-9542-5543>), Peter Nahrgang [ctr, ctb], Felix Pape [ctr, ctb], Vasyl Pihur [ctb], Guy Brock [ctb], Susmita Datta [ctb], Somnath Datta [ctb], Luis Winckelmann [com], Alfred Ultsch [dtc, ctb]
Maintainer: Michael Thrun <m.thrun@gmx.net>

Diff between FCPS versions 1.1.0 dated 2020-03-13 and 1.2.0 dated 2020-04-23

 FCPS-1.1.0/FCPS/R/ClusteringAccuracy.R                      |only
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 FCPS-1.2.0/FCPS/R/ADPclustering.R                           |    5 
 FCPS-1.2.0/FCPS/R/APclustering.R                            |    6 
 FCPS-1.2.0/FCPS/R/AgglomerativeNestingClustering.R          |    7 
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 FCPS-1.2.0/FCPS/R/DBscan.R                                  |    9 
 FCPS-1.2.0/FCPS/R/DatabionicSwarmClustering.R               |    6 
 FCPS-1.2.0/FCPS/R/DensityPeakClustering.R                   |   11 
 FCPS-1.2.0/FCPS/R/DivisiveAnalysisClustering.R              |    8 
 FCPS-1.2.0/FCPS/R/FannyClustering.R                         |    7 
 FCPS-1.2.0/FCPS/R/GenieClustering.R                         |    4 
 FCPS-1.2.0/FCPS/R/HCLclustering.R                           |    7 
 FCPS-1.2.0/FCPS/R/HierarchicalClusterData.R                 |    1 
 FCPS-1.2.0/FCPS/R/HierarchicalClusterDists.R                |    3 
 FCPS-1.2.0/FCPS/R/Hierarchical_DBSCAN.R                     |    5 
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 FCPS-1.2.0/FCPS/R/MarkovClustering.R                        |    4 
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 FCPS-1.2.0/FCPS/R/MinimaxLinkageClustering.R                |    4 
 FCPS-1.2.0/FCPS/R/MoGclustering.R                           |    4 
 FCPS-1.2.0/FCPS/R/ModelBasedClustering.R                    |   10 
 FCPS-1.2.0/FCPS/R/NeuralGasClustering.R                     |    7 
 FCPS-1.2.0/FCPS/R/OPTICSclustering.R                        |   10 
 FCPS-1.2.0/FCPS/R/PAMclustering.R                           |    7 
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 FCPS-1.2.0/FCPS/R/QTclustering.R                            |    6 
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 FCPS-1.2.0/FCPS/R/SharedNearestNeighborClustering.R         |    9 
 FCPS-1.2.0/FCPS/R/SpectralClustering.R                      |    4 
 FCPS-1.2.0/FCPS/R/Spectrum.R                                |    5 
 FCPS-1.2.0/FCPS/R/SubspaceClustering.R                      |    5 
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 FCPS-1.2.0/FCPS/man/EngyTime.Rd                             |    5 
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 FCPS-1.2.0/FCPS/man/GolfBall.Rd                             |    5 
 FCPS-1.2.0/FCPS/man/HCLclustering.Rd                        |    2 
 FCPS-1.2.0/FCPS/man/Hepta.Rd                                |    4 
 FCPS-1.2.0/FCPS/man/Leukemia.Rd                             |    3 
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 104 files changed, 691 insertions(+), 487 deletions(-)

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Package Clustering updated to version 1.6 with previous version 1.5 dated 2020-04-21

Title: Execution of Multiple Clustering Algorithm
Description: The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided.
Author: Luis Alfonso Perez Martos [aut, cre]
Maintainer: Luis Alfonso Perez Martos <lapm0001@gmail.com>

Diff between Clustering versions 1.5 dated 2020-04-21 and 1.6 dated 2020-04-23

 DESCRIPTION              |    6 
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 5 files changed, 818 insertions(+), 816 deletions(-)

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Package benchmarkmeData updated to version 1.0.4 with previous version 1.0.3 dated 2019-11-02

Title: Data Set for the 'benchmarkme' Package
Description: Crowd sourced benchmarks from running the 'benchmarkme' package.
Author: Colin Gillespie [aut, cre] (<https://orcid.org/0000-0003-1787-0275>)
Maintainer: Colin Gillespie <csgillespie@gmail.com>

Diff between benchmarkmeData versions 1.0.3 dated 2019-11-02 and 1.0.4 dated 2020-04-23

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 28 files changed, 176 insertions(+), 163 deletions(-)

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Package text.alignment updated to version 0.1.1 with previous version 0.1.0 dated 2020-03-30

Title: Text Alignment with Smith-Waterman
Description: Find similarities between texts using the Smith-Waterman algorithm. The algorithm performs local sequence alignment and determines similar regions between two strings. The Smith-Waterman algorithm is explained in the paper: "Identification of common molecular subsequences" by T.F.Smith and M.S.Waterman (1981), available at <doi:10.1016/0022-2836(81)90087-5>. This package implements the same logic for sequences of words and letters instead of molecular sequences.
Author: Jan Wijffels [aut, cre, cph] (Rewrite of functionalities from the textreuse R package), Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities [cph], Lincoln Mullen [ctb, cph]
Maintainer: Jan Wijffels <jan.wijffels@vub.be>

Diff between text.alignment versions 0.1.0 dated 2020-03-30 and 0.1.1 dated 2020-04-23

 DESCRIPTION                    |    8 +--
 MD5                            |   19 ++++----
 NAMESPACE                      |    1 
 NEWS.md                        |    6 ++
 R/smith_waterman.R             |   87 +++++++++++++++++++++++++++++++++++++++++
 inst/doc/textalignment.R       |   14 +++---
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 11 files changed, 157 insertions(+), 49 deletions(-)

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Package DAMisc updated to version 1.5.4 with previous version 1.5.3 dated 2020-03-27

Title: Dave Armstrong's Miscellaneous Functions
Description: Miscellaneous set of functions I use in my teaching either at the University of Western Ontario or the Inter-university Consortium for Political and Social Research (ICPSR) Summer Program in Quantitative Methods. Broadly, the functions help with presentation and interpretation of LMs and GLMs, but also implement some new tools like Alternating Least Squares Optimal Scaling for dependent variables, a Bayesian analog to the ALSOS algorithm. There are also tools to help understand interactions in both LMs and binary GLMs.
Author: Dave Armstrong [aut, cre]
Maintainer: Dave Armstrong <dave@quantoid.net>

Diff between DAMisc versions 1.5.3 dated 2020-03-27 and 1.5.4 dated 2020-04-23

 DESCRIPTION          |   10 +--
 MD5                  |   10 +--
 NAMESPACE            |    4 -
 R/DAMisc_functions.R |  159 +++++++++++++++++++++++++++++++++++++++++++++++++++
 R/damisc-package.R   |    2 
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New package transmem with initial version 0.1.0
Package: transmem
Version: 0.1.0
Type: Package
Date: 2020-4-17
Title: Treatment of Membrane-Transport Data
Authors@R: c( person("Cristhian", "Paredes", email = "craparedesca@unal.edu.co", role = c("aut", "cre")), person("Eduardo", "Rodriguez-de-San-Miguel", email = "erdsm@unam.mx", role = "aut"))
Maintainer: Cristhian Paredes <craparedesca@unal.edu.co>
Description: Treatment and visualization of membrane (selective) transport data. Transport profiles involving up to three species are produced as publication-ready plots and several membrane performance parameters (e.g. separation factors as defined in Koros et al. (1996) <doi:10.1351/pac199668071479> and non-linear regression parameters for the equations described in Rodriguez de San Miguel et al. (2014) <doi:10.1016/j.jhazmat.2014.03.052>) can be obtained. Many widely used experimental setups (e.g. membrane physical aging) can be easily studied through the package's graphical representations.
License: GPL (>= 2)
URL: https://github.com/Crparedes/transmem
BugReports: https://github.com/Crparedes/transmem/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2.9000
Depends: R (>= 3.5.0)
Imports: cmna, ggformula, ggplot2, plot3D
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-04-17 18:19:05 UTC; cris
Author: Cristhian Paredes [aut, cre], Eduardo Rodriguez-de-San-Miguel [aut]
Repository: CRAN
Date/Publication: 2020-04-23 13:40:02 UTC

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New package shorts with initial version 0.0.1
Package: shorts
Type: Package
Title: Short Sprints
Authors@R: person(given = "Mladen", family = "Jovanovic", role = c("aut", "cre"), email = "coach.mladen.jovanovic@gmail.com")
Version: 0.0.1
Description: Create short sprint (<6sec) profiles using the split times or the radar gun data. Mono-exponential equation is used to estimate maximal sprinting speed (MSS), relative acceleration (TAU), and other parameters such us maximal acceleration (MAC) and maximal relative power (PMAX). These parameters can be used to predict kinematic and kinetics variables and to compare individuals. The modeling method utilized in this package is based on the works of Chelly SM, Denis C. (2001) <doi: 10.1097/00005768-200102000-00024>, Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi: 10.1519/JSC.0000000000002081>, Furusawa K, Hill AV, and Parkinson JL (1927) <doi: 10.1098/rspb.1927.0035>, Greene PR. (1986) <doi: 10.1016/0025-5564(86)90063-5>, and Samozino P. (2018) <doi: 10.1007/978-3-319-05633-3_11>.
URL: https://github.com/mladenjovanovic/shorts
BugReports: https://github.com/mladenjovanovic/shorts/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Depends: R (>= 2.10)
Imports: stats, LambertW, nlme
NeedsCompilation: no
Packaged: 2020-04-17 15:28:46 UTC; mladenjovanovic
Author: Mladen Jovanovic [aut, cre]
Maintainer: Mladen Jovanovic <coach.mladen.jovanovic@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-23 13:30:02 UTC

More information about shorts at CRAN
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New package RcppBigIntAlgos with initial version 0.2.2
Package: RcppBigIntAlgos
Type: Package
Title: Factor Big Integers with the Quadratic Sieve
Version: 0.2.2
Authors@R: c(person("Joseph","Wood", role=c("aut","cre"), email="jwood000@gmail.com"), person("Free Software Foundation, Inc.", role ="cph"), person("Mike","Tryczak", role="ctb"))
Maintainer: Joseph Wood <jwood000@gmail.com>
Description: Features the multiple polynomial quadratic sieve (MPQS) algorithm for factoring large integers and a vectorized factoring function that returns the complete factorization of an integer. The MPQS is based off of the seminal work of Carl Pomerance (1984) <doi:10.1007/3-540-39757-4_17> along with the modification of multiple polynomials introduced by Peter Montgomery and J. Davis as outlined by Robert D. Silverman (1987) <doi:10.1090/S0025-5718-1987-0866119-8>. Utilizes the C library GMP (GNU Multiple Precision Arithmetic). The Pollard's rho algorithm for factoring smaller numbers is the same algorithm used by the factorize function in the 'gmp' package.
License: GPL (>= 2)
Encoding: UTF-8
SystemRequirements: C++11, gmp (>= 4.2.3)
Depends: gmp
Imports: Rcpp
LinkingTo: Rcpp, RcppThread
Suggests: testthat, numbers, RcppAlgos
NeedsCompilation: yes
URL: https://github.com/jwood000/RcppBigIntAlgos, https://gmplib.org/, http://mathworld.wolfram.com/QuadraticSieve.html, http://micsymposium.org/mics_2011_proceedings/mics2011_submission_28.pdf, https://www.math.colostate.edu/~hulpke/lectures/m400c/quadsievex.pdf, https://blogs.msdn.microsoft.com/devdev/2006/06/19/factoring-large-numbers-with-quadratic-sieve/
BugReports: https://github.com/jwood000/RcppBigIntAlgos/issues
RoxygenNote: 6.1.1
Packaged: 2020-04-16 23:12:37 UTC; josephwood
Author: Joseph Wood [aut, cre], Free Software Foundation, Inc. [cph], Mike Tryczak [ctb]
Repository: CRAN
Date/Publication: 2020-04-23 13:10:06 UTC

More information about RcppBigIntAlgos at CRAN
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New package mnt with initial version 1.0
Package: mnt
Type: Package
Title: Affine Invariant Tests of Multivariate Normality
Version: 1.0
Authors@R: c(person("Lucas", "Butsch", email="lucas.butsch@gmail.com", role=c("aut")), person("Bruno", "Ebner", email="bruno.ebner@kit.edu", role = c("aut", "cre")), person("Jaco", "Visagie", email="jaco.visagie@nwu.ac.za", role=c("ctb")), person("Johann", "Siemens", email="johann-siemens@web.de", role=c("ctb")))
Description: Various affine invariant multivariate normality tests are provided. It is designed to accompany the survey article Ebner, B. and Henze, N. (2020) <arXiv:2004.07332> titled "Tests for multivariate normality -- a critical review with emphasis on weighted L^2-statistics". We implement new and time honoured L^2-type tests of multivariate normality, such as the Baringhaus-Henze-Epps-Pulley (BHEP) test, the Henze-Zirkler test, the test of Henze-Jiménes-Gamero, the test of Henze-Jiménes-Gamero-Meintanis, the test of Henze-Visage, the Dörr-Ebner-Henze test based on harmonic oscillator and the Dörr-Ebner-Henze test based on a double estimation in a PDE. Secondly, we include the measures of multivariate skewness and kurtosis by Mardia, Koziol, Malkovich and Afifi and Móri, Rohatgi and Székely, as well as the associated tests. Thirdly, we include the tests of multivariate normality by Cox and Small, the 'energy' test of Székely and Rizzo, the tests based on spherical harmonics by Manzotti and Quiroz and the test of Pudelko. All the functions and tests need the data to be a n x d matrix where n is the samplesize (number of rows) and d is the dimension (number of columns).
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: MASS, pracma, utils
NeedsCompilation: yes
Packaged: 2020-04-17 06:06:19 UTC; ebner
Author: Lucas Butsch [aut], Bruno Ebner [aut, cre], Jaco Visagie [ctb], Johann Siemens [ctb]
Maintainer: Bruno Ebner <bruno.ebner@kit.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-04-23 13:10:02 UTC

More information about mnt at CRAN
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Package ClustBlock updated to version 2.2.0 with previous version 2.1.1 dated 2019-11-29

Title: Clustering of Datasets
Description: Hierarchical and partitioning algorithms of blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2020) <doi:10.1016/j.foodqual.2018.05.013>, Llobell, Vigneau & Qannari (2019) <doi:10.1016/j.foodqual.2019.02.017>) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2018.09.006>, Llobell, Giacalone, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2019.05.017>) are the core of this package.
Author: Fabien Llobell [aut, cre] (Oniris/XLSTAT), Evelyne Vigneau [ctb] (Oniris), Veronique Cariou [ctb] (Oniris), El Mostafa Qannari [ctb] (Oniris)
Maintainer: Fabien Llobell <fabien.llobell@oniris-nantes.fr>

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Package augSIMEX updated to version 3.7.4 with previous version 3.7.3 dated 2019-06-12

Title: Analysis of Data with Mixed Measurement Error and Misclassification in Covariates
Description: Implementation of the augmented Simulation-Extrapolation (SIMEX) algorithm proposed by Yi et al. (2015) <doi:10.1080/01621459.2014.922777> for analyzing the data with mixed measurement error and misclassification. The main function provides a similar summary output as that of glm() function. Both parametric and empirical SIMEX are considered in the package.
Author: Qihuang Zhang <qihuang.zhang@uwaterloo.ca>, Grace Y. Yi <yyi@uwaterloo.ca>
Maintainer: Qihuang Zhang <qihuang.zhang@uwaterloo.ca>

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Package abtest updated to version 0.2.1 with previous version 0.2.0 dated 2019-09-10

Title: Bayesian A/B Testing
Description: Provides functions for Bayesian A/B testing including prior elicitation options based on Kass and Vaidyanathan (1992) <doi:10.1111/j.2517-6161.1992.tb01868.x>.
Author: Quentin F. Gronau [aut, cre], Akash Raj [ctb], Eric-Jan Wagenmakers [ths]
Maintainer: Quentin F. Gronau <Quentin.F.Gronau@gmail.com>

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Package TestDimorph updated to version 0.3.1 with previous version 0.3.0 dated 2020-01-30

Title: Analysis Of The Interpopulation Difference In Degree of Sexual Dimorphism Using Summary Statistics
Description: Provides two approaches of comparison; the univariate and the multivariate analysis in two or more populations. Since the main obstacle of performing systematic comparisons in anthropological studies is the absence of raw data, the current package offer a solution for this problem by allowing the use of published summary statistics of metric data (mean, standard deviation and sex specific sample size) as illustrated by the works of Greene, D. L. (1989) <doi:10.1002/ajpa.1330790113> and Konigsberg, L. W. (1991) <doi:10.1002/ajpa.1330840110>.
Author: Bassam A. Abulnoor [aut, cre] (<https://orcid.org/0000-0003-4351-2754>), MennattAllah H. Attia [aut] (<https://orcid.org/0000-0002-2304-532X>), Lyle W. Konigsberg [ctb, dtc] (<https://orcid.org/0000-0003-4052-1575>)
Maintainer: Bassam A. Abulnoor <bas12@fayoum.edu.eg>

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Package rfm updated to version 0.2.1 with previous version 0.2.0 dated 2019-01-14

Title: Recency, Frequency and Monetary Value Analysis
Description: Tools for RFM (recency, frequency and monetary value) analysis. Generate RFM score from both transaction and customer level data. Visualize the relationship between recency, frequency and monetary value using heatmap, histograms, bar charts and scatter plots. Includes a 'shiny' app for interactive segmentation. References: i. Blattberg R.C., Kim BD., Neslin S.A (2008) <doi:10.1007/978-0-387-72579-6_12>.
Author: Aravind Hebbali [aut, cre] (<https://orcid.org/0000-0001-9220-9669>)
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

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Package finbif updated to version 0.3.0 with previous version 0.2.0 dated 2020-01-16

Title: Interface for the 'Finnish Biodiversity Information Facility' API
Description: A programmatic interface to the 'Finnish Biodiversity Information Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish biodiversity data from multiple sources in a single open access portal for researchers, citizen scientists, industry and government. 'FinBIF' allows users of biodiversity information to find, access, combine and visualise data on Finnish plants, animals and microorganisms. The 'finbif' package makes the publicly available data in 'FinBIF' easily accessible to programmers. Biodiversity information is available on taxonomy and taxon occurrence. Occurrence data can be filtered by taxon, time, location and other variables. The data accessed are conveniently preformatted for subsequent analyses.
Author: LUOMUS - Finnish Museum of Natural History [cph], William Morris [aut, cre] (<https://orcid.org/0000-0002-8686-4154>)
Maintainer: William Morris <willi@mmorris.email>

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 finbif-0.3.0/finbif/DESCRIPTION                                                                              |   14 
 finbif-0.3.0/finbif/MD5                                                                                      |  422 +
 finbif-0.3.0/finbif/NAMESPACE                                                                                |    5 
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 finbif-0.3.0/finbif/R/api_get.R                                                                              |only
 finbif-0.3.0/finbif/R/caching.R                                                                              |   27 
 finbif-0.3.0/finbif/R/coords.R                                                                               |only
 finbif-0.3.0/finbif/R/dates.R                                                                                |only
 finbif-0.3.0/finbif/R/filters.R                                                                              |   44 
 finbif-0.3.0/finbif/R/finbif-package.R                                                                       |   20 
 finbif-0.3.0/finbif/R/finbif_check_taxa.R                                                                    |    2 
 finbif-0.3.0/finbif/R/finbif_clear_cache.R                                                                   |   15 
 finbif-0.3.0/finbif/R/finbif_collections.R                                                                   |    5 
 finbif-0.3.0/finbif/R/finbif_informal_groups.R                                                               |    3 
 finbif-0.3.0/finbif/R/finbif_metadata.R                                                                      |    3 
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 finbif-0.3.0/finbif/R/finbif_request_token.R                                                                 |    5 
 finbif-0.3.0/finbif/R/finbif_taxa.R                                                                          |    4 
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 finbif-0.3.0/finbif/R/zzz.R                                                                                  |    8 
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Package clustMixType updated to version 0.2-5 with previous version 0.2-2 dated 2020-03-07

Title: k-Prototypes Clustering for Mixed Variable-Type Data
Description: Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to Z.Huang (1998): Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Variables, Data Mining and Knowledge Discovery 2, 283-304, <DOI:10.1023/A:1009769707641>.
Author: Gero Szepannek [aut, cre], Rabea Aschenbruck [aut]
Maintainer: Gero Szepannek <gero.szepannek@web.de>

Diff between clustMixType versions 0.2-2 dated 2020-03-07 and 0.2-5 dated 2020-04-23

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Package sbrl (with last version 1.2) was removed from CRAN

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

2016-07-29 1.2
2016-07-24 1.1
2016-06-15 1.0

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Package IPDFileCheck (with last version 0.6.2) was removed from CRAN

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

2020-01-23 0.6.2
2019-12-04 0.6.1
2019-11-26 0.6.0
2019-11-11 0.5.0
2019-10-15 0.4.0
2019-10-07 0.3.0

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Package eeptools (with last version 1.2.2) was removed from CRAN

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

2019-03-18 1.2.2
2018-10-21 1.2.1
2018-05-30 1.2.0
2018-01-26 1.1.1
2017-06-28 1.1.0
2016-11-01 1.0.0
2015-11-18 0.9.1
2015-09-23 0.9.0
2014-02-23 0.3.1
2013-12-09 0.3
2013-03-28 0.2
2012-09-25 0.1

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Package promotionImpact (with last version 0.1.3) was removed from CRAN

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

2020-03-31 0.1.3
2019-06-05 0.1.2

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Package prophet (with last version 0.6) was removed from CRAN

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2020-03-03 0.6
2019-05-14 0.5
2018-12-21 0.4
2018-06-15 0.3.0.1
2018-06-02 0.3
2017-11-08 0.2.1
2017-09-12 0.2
2017-04-19 0.1.1
2017-02-01 0.1

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Package cuRe updated to version 1.0.1 with previous version 1.0.0 dated 2020-01-13

Title: Parametric Cure Model Estimation
Description: Contains functions for estimating generalized parametric mixture and non-mixture cure models, loss of lifetime, mean residual lifetime, and crude event probabilities.
Author: Lasse Hjort Jakobsen [aut, cre], Mark Clements [cph]
Maintainer: Lasse Hjort Jakobsen <lahja@dcm.aau.dk>

Diff between cuRe versions 1.0.0 dated 2020-01-13 and 1.0.1 dated 2020-04-23

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Package amt updated to version 0.1.0 with previous version 0.0.9 dated 2020-03-30

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 selection functions and step-selection functions <doi:10.1890/04-0953> and integrated step-selection functions <doi:10.1111/2041-210X.12528>), and simulation of space-use from fitted step-selection functions <doi:10.1002/ecs2.1771>.
Author: Johannes Signer [aut, cre], Bjoern Reineking [ctb], Brian Smith [ctb], Ulrike Schlaegel [ctb], Scott LaPoint [dtc]
Maintainer: Johannes Signer <jsigner@gwdg.de>

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Package HyRiM updated to version 2.0.0 with previous version 1.0.3 dated 2019-11-18

Title: Multicriteria Risk Management using Zero-Sum Games with Vector-Valued Payoffs that are Probability Distributions
Description: Construction and analysis of multivalued zero-sum matrix games over the abstract space of probability distributions, which describe the losses in each scenario of defense vs. attack action. The distributions can be compiled directly from expert opinions or other empirical data (insofar available). The package implements the methods put forth in the EU project HyRiM (Hybrid Risk Management for Utility Networks), FP7 EU Project Number 608090. The method has been published in Rass, S., König, S., Schauer, S., 2016. Decisions with Uncertain Consequences-A Total Ordering on Loss-Distributions. PLoS ONE 11, e0168583. <doi:10.1371/journal.pone.0168583>, and applied for advanced persistent thread modeling in Rass, S., König, S., Schauer, S., 2017. Defending Against Advanced Persistent Threats Using Game-Theory. PLoS ONE 12, e0168675. <doi:10.1371/journal.pone.0168675>. A volume covering the wider range of aspects of risk management, partially based on the theory implemented in the package is the book edited by S. Rass and S. Schauer, 2018. Game Theory for Security and Risk Management: From Theory to Practice. Springer, <doi:10.1007/978-3-319-75268-6>, ISBN 978-3-319-75267-9.
Author: Stefan Rass, Sandra Koenig, Ali Alshawish
Maintainer: Austrian Institute of Technology <hyrim@ait.ac.at>

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Package RPEIF updated to version 1.0.8 with previous version 1.0.7 dated 2020-03-16

Title: Computation and Plots of Influence Functions for Risk and Performance Measures
Description: Computes the influence functions time series of the returns for the risk and performance measures as mentioned in Zhang and Martin (2017) <https://ssrn.com/abstract=2747179> as well as Chen and Martin (2018) <https://ssrn.com/abstract=3085672>. Also evaluates estimators influence functions at a set of parameter values and plots them to display the shapes of the influence functions.
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Shengyu Zhang <syzhang@uw.edu>, Douglas Martin <doug@amath.washington.edu>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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Package rneos updated to version 0.4-0 with previous version 0.3-2 dated 2017-01-03

Title: XML-RPC Interface to NEOS
Description: Within this package the XML-RPC API to NEOS <https://neos-server.org/neos/> is implemented. This enables the user to pass optimization problems to NEOS and retrieve results within R.
Author: Bernhard Pfaff [aut, cre], Duncan Temple Lang [ctb] (included XMLRPC package, hosted at http://www.omegahat.net/XMLRPC/; BSD license.)
Maintainer: Bernhard Pfaff <bernhard@pfaffikus.de>

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Package HRQoL (with last version 1.0) was removed from CRAN

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2017-02-12 1.0

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2017-05-06 1.0

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2015-09-23 0.1.2

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Package ftsa updated to version 5.6 with previous version 5.5 dated 2019-04-21

Title: Functional Time Series Analysis
Description: Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
Author: Rob Hyndman [aut] (<https://orcid.org/0000-0002-2140-5352>), Han Lin Shang [aut, cre, cph] (<https://orcid.org/0000-0003-1769-6430>)
Maintainer: Han Lin Shang <hanlin.shang@anu.edu.au>

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Package AzureRMR updated to version 2.3.2 with previous version 2.3.1 dated 2020-01-27

Title: Interface to 'Azure Resource Manager'
Description: A lightweight but powerful R interface to the 'Azure Resource Manager' REST API. The package exposes a comprehensive class framework and related tools for creating, updating and deleting 'Azure' resource groups, resources and templates. While 'AzureRMR' can be used to manage any 'Azure' service, it can also be extended by other packages to provide extra functionality for specific services. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

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Package DRAFT (with last version 0.3.0) was removed from CRAN

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2019-08-05 0.3.0

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Package flan (with last version 0.7) was removed from CRAN

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2019-05-08 0.7

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Package npsp (with last version 0.7-5) was removed from CRAN

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2019-07-02 0.7-5
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2014-10-20 0.3-6
2013-11-04 0.2-4

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Package EDR (with last version 0.6-7) was removed from CRAN

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2020-02-03 0.6-7
2016-09-14 0.6-6
2013-07-05 0.6-5.1
2013-03-12 0.6-5
2010-04-07 0.6-4
2009-10-12 0.6-3
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Package RGISTools (with last version 1.0.0) was removed from CRAN

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2020-01-09 1.0.0
2019-08-27 0.9.7

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Package biglars (with last version 1.0.2) was removed from CRAN

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2011-12-28 1.0.2
2010-01-07 1.0.1
2010-01-05 1.0

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