Fri, 09 Dec 2022

Package warbleR updated to version 1.1.28 with previous version 1.1.27 dated 2022-02-23

Title: Streamline Bioacoustic Analysis
Description: Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the package 'seewave', and offers new tools for acoustic structure analysis. The main features of the package are the use of loops to apply tasks through acoustic signals referenced in a selection (annotation) table and the production of spectrograms in image files that allow to organize data and verify acoustic analyzes. The package offers functions to explore, organize and manipulate multiple sound files, explore and download 'Xeno-Canto' recordings, detect signals automatically, create spectrograms of complete recordings or individual signals, run different measures of acoustic signal structure, evaluate the performance of measurement methods, catalog signals, characterize different structural levels in acoustic signals, run statistical analysis of duet coordination and consolidate databases and annotation tables, among others.
Author: Marcelo Araya-Salas [aut, cre] , Grace Smith-Vidaurre [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

Diff between warbleR versions 1.1.27 dated 2022-02-23 and 1.1.28 dated 2022-12-09

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Package testthat updated to version 3.1.6 with previous version 3.1.5 dated 2022-10-08

Title: Unit Testing for R
Description: Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd], R Core team [ctb] )
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between testthat versions 3.1.5 dated 2022-10-08 and 3.1.6 dated 2022-12-09

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Package stokes updated to version 1.1-6 with previous version 1.1-3 dated 2022-06-14

Title: The Exterior Calculus
Description: Provides functionality for working with tensors, alternating forms, wedge products, Stokes's theorem, and related concepts from the exterior calculus. Uses 'disordR' discipline (Hankin, 2022, <doi:10.48550/ARXIV.2210.03856>). The canonical reference would be M. Spivak (1965, ISBN:0-8053-9021-9) "Calculus on Manifolds". To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2210.17008>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between stokes versions 1.1-3 dated 2022-06-14 and 1.1-6 dated 2022-12-09

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Package sharpshootR updated to version 1.12 with previous version 1.11 dated 2022-10-04

Title: A Soil Survey Toolkit
Description: Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.
Author: Dylan Beaudette [cre, aut], Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut], USDA-NRCS Soil Survey Staff [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

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Package sharp updated to version 1.2.1 with previous version 1.2.0 dated 2022-08-15

Title: Stability-enHanced Approaches using Resampling Procedures
Description: In stability selection (N Meinshausen, P Bühlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>), resampling techniques are used to enhance the reliability of the results. In this package, hyper-parameters are calibrated by maximising model stability, which is measured by the negative log-likelihood under the null hypothesis that all selection probabilities are identical (B Bodinier et al (2021) <arXiv:2106.02521>). Functions are readily implemented for the use of LASSO regression, sparse PCA, sparse (group) PLS or graphical LASSO.
Author: Barbara Bodinier [aut, cre]
Maintainer: Barbara Bodinier <b.bodinier@imperial.ac.uk>

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Package GOCompare updated to version 1.0.2.1 with previous version 1.0.2 dated 2022-11-08

Title: Comprehensive GO Terms Comparison Between Species
Description: Supports the assessment of functional enrichment analyses obtained for several lists of genes and provides a workflow to analyze them between two species via weighted graphs. Methods are described in Sosa et al. (2023) <doi:10.1016/j.ygeno.2022.110528>.
Author: Chrystian Camilo Sosa [aut, cre, cph] , Diana Carolina Clavijo-Buritica [aut], Mauricio Alberto Quimbaya [aut], Maria Victoria Diaz [ctb], Camila Riccio Rengifo [ctb], Nicolas Lopez-Rozo [ctb], Victor Hugo Garcia Merchan [aut, ctb], Arlen James Mosqu [...truncated...]
Maintainer: Chrystian Camilo Sosa <ccsosaa@javerianacali.edu.co>

Diff between GOCompare versions 1.0.2 dated 2022-11-08 and 1.0.2.1 dated 2022-12-09

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Package eulerr updated to version 7.0.0 with previous version 6.1.1 dated 2021-09-06

Title: Area-Proportional Euler and Venn Diagrams with Ellipses
Description: Generate area-proportional Euler diagrams using numerical optimization. An Euler diagram is a generalization of a Venn diagram, relaxing the criterion that all interactions need to be represented. Diagrams may be fit with ellipses and circles via a wide range of inputs and can be visualized in numerous ways.
Author: Johan Larsson [aut, cre] , A. Jonathan R. Godfrey [ctb], Peter Gustafsson [ctb], David H. Eberly [ctb] , Emanuel Huber [ctb] , Florian Prive [ctb]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

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Package dcortools updated to version 0.1.6 with previous version 0.1.5 dated 2022-12-07

Title: Providing Fast and Flexible Functions for Distance Correlation Analysis
Description: Provides methods for distance covariance and distance correlation (Szekely, et al. (2007) <doi:10.1214/009053607000000505>), generalized version thereof (Sejdinovic, et al. (2013) <doi:10.1214/13-AOS1140>) and corresponding tests (Berschneider, Bottcher (2018) <arXiv:1808.07280>. Distance standard deviation methods (Edelmann, et al. (2020) <doi:10.1214/19-AOS1935>) and distance correlation methods for survival endpoints (Edelmann, et al. (2021) <doi:10.1111/biom.13470>) are also included.
Author: Dominic Edelmann [aut, cre], Jochen Fiedler [aut]
Maintainer: Dominic Edelmann <dominic.edelmann@dkfz-heidelberg.de>

Diff between dcortools versions 0.1.5 dated 2022-12-07 and 0.1.6 dated 2022-12-09

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Package ipumsr updated to version 0.5.2 with previous version 0.5.1 dated 2022-09-30

Title: Read 'IPUMS' Extract Files
Description: An easy way to import census, survey and geographic data provided by 'IPUMS' into R plus tools to help use the associated metadata to make analysis easier. 'IPUMS' data describing 1.4 billion individuals drawn from over 750 censuses and surveys is available free of charge from our website <https://www.ipums.org>.
Author: Greg Freedman Ellis [aut], Derek Burk [aut, cre], Joe Grover [ctb], Finn Roberts [ctb], Dan Ehrlich [ctb], Renae Rodgers [ctb], Minnesota Population Center [cph]
Maintainer: Derek Burk <ipums+cran@umn.edu>

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New package SimSST with initial version 0.0.4.7
Package: SimSST
Title: Simulated Stop Signal Task Data
Version: 0.0.4.7
Description: Stop signal task data of go and stop trials is generated per participant. The simulation process is based on the independent horse race model and fixed stop signal delay or tracking method. Each of go and stop process is assumed having exponentially modified Gaussian(ExG) or Shifted Wald (SW) distributions. The output data can be converted to 'BEESTS' software input data enabling researchers to test and evaluate various brain stopping processes manifested by ExG or SW distributional parameters of interest. Methods are described in: Soltanifar M (2020) <https://hdl.handle.net/1807/101208>, Matzke D, Love J, Wiecki TV, Brown SD, Logan GD and Wagenmakers E-J (2013) <doi:10.3389/fpsyg.2013.00918>, Logan GD, Van Zandt T, Verbruggen F, Wagenmakers EJ. (2014) <doi:10.1037/a0035230>.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, gamlss.dist
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-12-09 18:09:02 UTC; chelhee.lee
Author: Mohsen Soltanifar [aut] , Chel Hee Lee [cre, aut]
Maintainer: Chel Hee Lee <chelhee.lee@ucalgary.ca>
Repository: CRAN
Date/Publication: 2022-12-09 20:10:02 UTC

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New package gadget3 with initial version 0.8-4
Package: gadget3
Title: Globally-Applicable Area Disaggregated General Ecosystem Toolbox V3
Version: 0.8-4
Date: 2022-11-29
Maintainer: Jamie Lentin <lentinj@shuttlethread.com>
Description: A framework to assist creation of marine ecosystem models, generating either 'R' or 'C++' code which can then be optimised using the 'TMB' package and standard 'R' tools. Principally designed to reproduce gadget2 models in 'TMB', but can be extended beyond gadget2's capabilities. Kasper Kristensen, Anders Nielsen, Casper W. Berg, Hans Skaug, Bradley M. Bell (2016) <doi:10.18637/jss.v070.i05> "TMB: Automatic Differentiation and Laplace Approximation.". Begley, J., & Howell, D. (2004) <https://core.ac.uk/download/pdf/225936648.pdf> "An overview of Gadget, the globally applicable area-disaggregated general ecosystem toolbox. ICES.".
URL: https://gadget-framework.github.io/gadget3/, https://github.com/gadget-framework/gadget3/
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: digest, Matrix (>= 1.2-0), rlang (>= 0.4.5), stats, TMB (>= 1.7.0), utils,
Suggests: knitr, magrittr (>= 1.5), rmarkdown, unittest (>= 1.4)
VignetteBuilder: knitr
License: GPL-2
NeedsCompilation: no
Packaged: 2022-11-29 09:59:46 UTC; lentinj
Author: Jamie Lentin [aut, cre] , Bjarki Thor Elvarsson [aut] , William Butler [aut] , Marine and Freshwater Research Institute [cph]
Repository: CRAN
Date/Publication: 2022-12-09 20:20:02 UTC

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Package wk updated to version 0.7.1 with previous version 0.7.0 dated 2022-10-12

Title: Lightweight Well-Known Geometry Parsing
Description: Provides a minimal R and C++ API for parsing well-known binary and well-known text representation of geometries to and from R-native formats. Well-known binary is compact and fast to parse; well-known text is human-readable and is useful for writing tests. These formats are useful in R only if the information they contain can be accessed in R, for which high-performance functions are provided here.
Author: Dewey Dunnington [aut, cre] , Edzer Pebesma [aut]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

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Package tidycensus updated to version 1.3 with previous version 1.2.3 dated 2022-09-16

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package segmented updated to version 1.6-2 with previous version 1.6-1 dated 2022-11-08

Title: Regression Models with Break-Points / Change-Points (with Possibly Random Effects) Estimation
Description: Given a regression model, segmented `updates' it by adding one or more segmented (i.e., piece-wise linear) relationships. Several variables with multiple breakpoints are allowed. The estimation method is discussed in Muggeo (2003, <doi:10.1002/sim.1545>) and illustrated in Muggeo (2008, <https://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf>). An approach for hypothesis testing is presented in Muggeo (2016, <doi:10.1080/00949655.2016.1149855>), and interval estimation for the breakpoint is discussed in Muggeo (2017, <doi:10.1111/anzs.12200>). Segmented mixed models, i.e. random effects in the change point, are discussed in in Muggeo (2014, <doi:10.1177/1471082X13504721>).
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

Diff between segmented versions 1.6-1 dated 2022-11-08 and 1.6-2 dated 2022-12-09

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Package RSAGA updated to version 1.4.0 with previous version 1.3.0 dated 2018-11-12

Title: SAGA Geoprocessing and Terrain Analysis
Description: Provides access to geocomputing and terrain analysis functions of the geographical information system (GIS) 'SAGA' (System for Automated Geoscientific Analyses) from within R by running the command line version of SAGA. This package furthermore provides several R functions for handling ASCII grids, including a flexible framework for applying local functions (including predict methods of fitted models) and focal functions to multiple grids. SAGA GIS is available under GPL-2 / LGPL-2 licences from <https://sourceforge.net/projects/saga-gis/>.
Author: Alexander Brenning [aut, cre] , Donovan Bangs [aut], Marc Becker [aut], Patrick Schratz [ctb] , Fabian Polakowski [ctb]
Maintainer: Alexander Brenning <alexander.brenning@uni-jena.de>

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Package qgraph updated to version 1.9.3 with previous version 1.9.2 dated 2022-03-04

Title: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation
Description: Fork of qgraph - Weighted network visualization and analysis, as well as Gaussian graphical model computation. See Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>.
Author: Sacha Epskamp [aut, cre], Giulio Costantini [aut], Jonas Haslbeck [aut], Adela Isvoranu [aut], Angelique O. J. Cramer [ctb], Lourens J. Waldorp [ctb], Verena D. Schmittmann [ctb], Denny Borsboom [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package gaston updated to version 1.5.8 with previous version 1.5.7 dated 2020-09-24

Title: Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Models
Description: Manipulation of genetic data (SNPs). Computation of GRM and dominance matrix, LD, heritability with efficient algorithms for linear mixed model (AIREML). Dandine et al <doi:10.1159/000488519>.
Author: Herve Perdry [cre, aut, cph], Claire Dandine-Roulland [aut, cph], Deepak Bandyopadhyay [cph] , Lutz Kettner [cph]
Maintainer: Herve Perdry <herve.perdry@universite-paris-saclay.fr>

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Package elasdics updated to version 1.1.1 with previous version 0.2.0 dated 2022-04-08

Title: Elastic Analysis of Sparse, Dense and Irregular Curves
Description: Provides functions to align curves and to compute mean curves based on the elastic distance defined in the square-root-velocity framework. For more details on this framework see Srivastava and Klassen (2016, <doi:10.1007/978-1-4939-4020-2>). For more theoretical details on our methods and algorithms see Steyer et al. (2021, <arXiv:2104.11039>).
Author: Lisa Steyer <lisa.steyer@hu-berlin.de>
Maintainer: Lisa Steyer <lisa.steyer@hu-berlin.de>

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Package vioplot updated to version 0.4.0 with previous version 0.3.7 dated 2021-07-27

Title: Violin Plot
Description: A violin plot is a combination of a box plot and a kernel density plot. This package allows extensive customisation of violin plots.
Author: Daniel Adler [aut, cph], S. Thomas Kelly [aut, cre], Tom M. Elliott [aut, ctb], Jordan Adamson [aut, ctb]
Maintainer: S. Thomas Kelly <tomkellygenetics@gmail.com>

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Package vimp updated to version 2.3.1 with previous version 2.3.0 dated 2022-11-14

Title: Perform Inference on Algorithm-Agnostic Variable Importance
Description: Calculate point estimates of and valid confidence intervals for nonparametric, algorithm-agnostic variable importance measures in high and low dimensions, using flexible estimators of the underlying regression functions. For more information about the methods, please see Williamson et al. (Biometrics, 2020), Williamson et al. (JASA, 2021), and Williamson and Feng (ICML, 2020).
Author: Brian D. Williamson [aut, cre] , Jean Feng [ctb], Noah Simon [ths] , Marco Carone [ths]
Maintainer: Brian D. Williamson <brian.d.williamson@kp.org>

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Package EmiR updated to version 1.0.4 with previous version 1.0.3 dated 2022-04-21

Title: Evolutionary Minimizer for R
Description: A C++ implementation of the following evolutionary algorithms: Bat Algorithm (Yang, 2010 <doi:10.1007/978-3-642-12538-6_6>), Cuckoo Search (Yang, 2009 <doi:10.1109/nabic.2009.5393690>), Genetic Algorithms (Holland, 1992, ISBN:978-0262581110), Gravitational Search Algorithm (Rashedi et al., 2009 <doi:10.1016/j.ins.2009.03.004>), Grey Wolf Optimization (Mirjalili et al., 2014 <doi:10.1016/j.advengsoft.2013.12.007>), Harmony Search (Geem et al., 2001 <doi:10.1177/003754970107600201>), Improved Harmony Search (Mahdavi et al., 2007 <doi:10.1016/j.amc.2006.11.033>), Moth-flame Optimization (Mirjalili, 2015 <doi:10.1016/j.knosys.2015.07.006>), Particle Swarm Optimization (Kennedy et al., 2001 ISBN:1558605959), Simulated Annealing (Kirkpatrick et al., 1983 <doi:10.1126/science.220.4598.671>), Whale Optimization Algorithm (Mirjalili and Lewis, 2016 <doi:10.1016/j.advengsoft.2016.01.008>). 'EmiR' can be used not only for unconstrained optimiz [...truncated...]
Author: Davide Pagano [aut], Lorenzo Sostero [aut, cre]
Maintainer: Lorenzo Sostero <l.sostero@studenti.unibs.it>

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 EmiR-1.0.4/EmiR/inst/REFERENCES.bib                  |  580 +++++++++----------
 EmiR-1.0.4/EmiR/src/Makevars                         |    4 
 EmiR-1.0.4/EmiR/src/RcppExports.cpp                  |    3 
 68 files changed, 3857 insertions(+), 3871 deletions(-)

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Package dlstats updated to version 0.1.6 with previous version 0.1.5 dated 2022-04-13

Title: Download Stats of R Packages
Description: Monthly download stats of 'CRAN' and 'Bioconductor' packages. Download stats of 'CRAN' packages is from the 'RStudio' 'CRAN mirror', see <https://cranlogs.r-pkg.org:443>. 'Bioconductor' package download stats is at <https://bioconductor.org/packages/stats/>.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between dlstats versions 0.1.5 dated 2022-04-13 and 0.1.6 dated 2022-12-09

 DESCRIPTION                |    8 +-
 MD5                        |   11 ++-
 NAMESPACE                  |    1 
 R/cran_stats.R             |   19 ++++++
 build/vignette.rds         |binary
 inst/doc/dlstats.html      |  128 +++++++++++++++++++++++----------------------
 man/set_cran_start_year.Rd |only
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New package SpatialKWD with initial version 0.4.1
Package: SpatialKWD
Title: Spatial KWD for Large Spatial Maps
Version: 0.4.1
Date: 2022-12-09
Author: Stefano Gualandi [aut, cre]
Maintainer: Stefano Gualandi <stefano.gualandi@gmail.com>
Description: Contains efficient implementations of Discrete Optimal Transport algorithms for the computation of Kantorovich-Wasserstein distances between pairs of large spatial maps (Bassetti, Gualandi, Veneroni (2020), <doi:10.1137/19M1261195>). All the algorithms are based on an ad-hoc implementation of the Network Simplex algorithm. The package has four main helper functions: compareOneToOne() (to compare two spatial maps), compareOneToMany() (to compare a reference map with a list of other maps), compareAll() (to compute a matrix of distances between a list of maps), and focusArea() (to compute the KWD distance within a focus area). In non-convex maps, the helper functions first build the convex-hull of the input bins and pad the weights with zeros.
License: EUPL (>= 1.2)
Imports: methods, Rcpp
SystemRequirements: C++11
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-12-09 16:21:03 UTC; stegua
Repository: CRAN
Date/Publication: 2022-12-09 17:00:02 UTC

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Package ChaosGame updated to version 1.4 with previous version 1.3 dated 2022-07-05

Title: Chaos Game
Description: The main objective of the package is to enter a word of at least two letters based on which an Iterated Function System with Probabilities is constructed, and a two-dimensional fractal containing the chosen word infinitely often is generated via the Chaos Game. Additionally, the package allows to project the two-dimensional fractal on several three-dimensional surfaces and to transform the fractal into another fractal with uniform marginals.
Author: Thimo Kasper <thimo.kasper@plus.ac.at>, Florian Griessenberger <florian.griessenberger@plus.ac.at>, Manuela Schreyer <manuelalarissa.schreyer@sbg.ac.at>, Johannes Bartel <>, Wolfgang Trutschnig <Wolfgang.Trutschnig@sbg.ac.at>
Maintainer: Marco Tschimpke <marco.tschimpke@plus.ac.at>

Diff between ChaosGame versions 1.3 dated 2022-07-05 and 1.4 dated 2022-12-09

 DESCRIPTION |   23 +++++++++--------------
 MD5         |    2 +-
 2 files changed, 10 insertions(+), 15 deletions(-)

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New package rSRD with initial version 0.1.4
Package: rSRD
Title: Sum of Ranking Differences Statistical Test
Version: 0.1.4
Maintainer: Jochen Staudacher <jochen.staudacher@hs-kempten.de>
Description: We provide an implementation for Sum of Ranking Differences (SRD), a novel statistical test introduced by Héberger (2010) <doi:10.1016/j.trac.2009.09.009>. The test allows the comparison of different solutions through a reference by first performing a rank transformation on the input, then calculating and comparing the distances between the solutions and the reference - the latter is measured in the L1 norm. The reference can be an external benchmark (e.g. an established gold standard) or can be aggregated from the data. The calculated distances, called SRD scores, are validated in two ways, see Héberger and Kollár-Hunek (2011) <doi:10.1002/cem.1320>. A randomization test (also called permutation test) compares the SRD scores of the solutions to the SRD scores of randomly generated rankings. The second validation option is cross-validation that checks whether the rankings generated from the solutions come from the same distribution or not. For a detailed analysis about the [...truncated...]
License: GPL-3
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, dplyr, janitor, tibble, ggplot2, stringr, methods, rlang, ggrepel
SystemRequirements: C++20, Rtools (>= 4.2) for Windows
NeedsCompilation: yes
Packaged: 2022-12-08 20:03:44 UTC; Jochen
Author: Jochen Staudacher [aut, cph, cre], Balazs R. Sziklai [aut, cph], Linus Olsson [aut, cph], Dennis Horn [ctb], Alexander Pothmann [ctb], Ali, Tugay Sen [ctb]
Repository: CRAN
Date/Publication: 2022-12-09 14:40:07 UTC

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New package reservr with initial version 0.0.1
Package: reservr
Title: Fit Distributions and Neural Networks to Censored and Truncated Data
Version: 0.0.1
Description: Define distribution families and fit them to interval-censored and interval-truncated data, where the truncation bounds may depend on the individual observation. The defined distributions feature density, probability, sampling and fitting methods as well as efficient implementations of the log-density log f(x) and log-probability log P(x0 <= X <= x1) for use in 'TensorFlow' neural networks via the 'tensorflow' package. Allows training parametric neural networks on interval-censored and interval-truncated data with flexible parameterization. Applications include Claims Development in Non-Life Insurance, e.g. modelling reporting delay distributions from incomplete data, see Bücher, Rosenstock (2022) <doi:10.1007/s13385-022-00314-4>.
License: GPL
BugReports: https://github.com/AshesITR/reservr/issues
Depends: R (>= 3.5)
Imports: assertthat (>= 0.2.1), generics, glue (>= 1.3.1), keras (>= 2.2.5.0), matrixStats, nloptr, numDeriv, purrr (>= 0.3.3), R6 (>= 2.4.1), Rcpp, RcppParallel, rlang (>= 0.4.5), stats, utils
Suggests: covr, callr, colorspace, data.table, dplyr (>= 0.8.4), evmix, fitdistrplus (>= 1.0.14), flextable (>= 0.5.8), formattable (>= 0.2.0.1), furrr (>= 0.1.0), ggplot2 (>= 3.2.1), ggridges (>= 0.5.2), knitr (>= 1.28), logKDE (>= 0.3.2), officer (>= 0.3.7), patchwork (>= 1.0.0), reticulate, rmarkdown (>= 2.1), rstudioapi, tensorflow (>= 2.0.0), testthat (>= 2.1.0), tidyr (>= 1.0.2), tibble
LinkingTo: BH, Rcpp, RcppArmadillo, RcppParallel
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: GNU make
URL: https://ashesitr.github.io/reservr/
NeedsCompilation: yes
Packaged: 2022-12-08 22:00:31 UTC; alex
Author: Alexander Rosenstock [aut, cre, cph]
Maintainer: Alexander Rosenstock <alexander.rosenstock@web.de>
Repository: CRAN
Date/Publication: 2022-12-09 14:40:02 UTC

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New package pencal with initial version 1.3.1
Package: pencal
Title: Penalized Regression Calibration (PRC)
Version: 1.3.1
Description: Computes penalized regression calibration (PRC), a statistical method that allows to predict survival from high-dimensional longitudinal predictors. PRC is described in Signorelli et al. (2021) <doi:10.1002/sim.9178>.
License: GPL-3
URL: https://mirkosignorelli.github.io/r
Depends: R (>= 4.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Imports: doParallel, dplyr, foreach, glmnet, lcmm, magic, MASS, Matrix, methods, nlme, purrr, stats, survcomp, survival, survivalROC
Suggests: knitr, ptmixed, rmarkdown, survminer
NeedsCompilation: no
Packaged: 2022-12-09 09:34:41 UTC; ms
Author: Mirko Signorelli [aut, cre, cph] , Pietro Spitali [ctb], Roula Tsonaka [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>
Repository: CRAN
Date/Publication: 2022-12-09 14:50:02 UTC

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New package oncomsm with initial version 0.1.2
Package: oncomsm
Title: Bayesian Multi-State Models for Early Oncology
Version: 0.1.2
Description: Implements methods to fit a parametric Bayesian multi-state model to tumor response data. The model can be used to sample from the predictive distribution to impute missing data and calculate probability of success for custom decision criteria in early clinical trials during an ongoing trial. The inference is implemented using 'stan'.
Language: en-US
License: Apache License 2.0
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.6)
Imports: methods, Rcpp, RcppNumerical (>= 0.4), rstan (>= 2.18), rlang (>= 0.4), magrittr, tibble, dplyr, tidyr, purrr, furrr, stringr, ggplot2, checkmate
SystemRequirements: GNU make
LinkingTo: BH (>= 1.66.0), Rcpp, RcppEigen (>= 0.3), RcppNumerical (>= 0.4), rstan (>= 2.18), StanHeaders (>= 2.18)
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), patchwork, bhmbasket, vdiffr, DiagrammeR, future, doFuture, doRNG, rjags
VignetteBuilder: knitr
URL: https://boehringer-ingelheim.github.io/oncomsm/, https://github.com/Boehringer-Ingelheim/oncomsm
BugReports: https://github.com/Boehringer-Ingelheim/oncomsm/issues
NeedsCompilation: yes
Packaged: 2022-12-08 15:48:27 UTC; kunzmann
Author: Kevin Kunzmann [aut, cre] , Karthik Ananthakrishnan [ctb], Boehringer Ingelheim Ltd. [cph, fnd]
Maintainer: Kevin Kunzmann <kevin.kunzmann@boehringer-ingelheim.com>
Repository: CRAN
Date/Publication: 2022-12-09 14:40:09 UTC

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New package macroBiome with initial version 0.1.0
Package: macroBiome
Title: A Tool for Mapping the Distribution of the Biomes and Bioclimate
Version: 0.1.0
Maintainer: Zoltan Szelepcsenyi <szelepcsenyi.zoltan@gmail.com>
Description: Procedures for simulating biomes by equilibrium vegetation models, with a special focus on paleoenvironmental applications. Two widely used equilibrium biome models are currently implemented in the package: the Holdridge Life Zone (HLZ) system (Holdridge 1947, <doi:10.1126/science.105.2727.367>) and the BIOME model (Prentice et al. 1992, <doi:10.2307/2845499>). Three climatic forest-steppe models are also implemented. An approach for estimating monthly time series of relative sunshine duration from temperature and precipitation data (Yin 1999, <doi:10.1007/s007040050111>) is also adapted, allowing process-based biome models to be combined with high-resolution paleoclimate simulation datasets (e.g., CHELSA-TraCE21k v1.0 dataset: <https://chelsa-climate.org/chelsa-trace21k/>).
Depends: R (>= 3.5.0), palinsol, raster
Imports: rworldmap, rworldxtra, sp, strex
URL: https://github.com/szelepcsenyi/macroBiome
BugReports: https://github.com/szelepcsenyi/macroBiome/issues/
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
Date: 2022-12-01
NeedsCompilation: no
Packaged: 2022-12-08 16:27:39 UTC; szelepcsenyi.zoltan
Author: Zoltan Szelepcsenyi [aut, cre, cph]
Repository: CRAN
Date/Publication: 2022-12-09 14:30:02 UTC

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Package extremis updated to version 1.2.1 with previous version 1.2 dated 2020-11-26

Title: Statistics of Extremes
Description: Conducts inference in statistical models for extreme values (de Carvalho et al (2012), <doi:10.1080/03610926.2012.709905>; de Carvalho and Davison (2014), <doi:10.1080/01621459.2013.872651>; Einmahl et al (2016), <doi:10.1111/rssb.12099>).
Author: Miguel de Carvalho [aut, cre], Rodrigo Rubio [aut], Vianey Palacios [aut]
Maintainer: Miguel de Carvalho <miguel.decarvalho@ed.ac.uk>

Diff between extremis versions 1.2 dated 2020-11-26 and 1.2.1 dated 2022-12-09

 extremis-1.2.1/extremis/DESCRIPTION            |   21 +++-----
 extremis-1.2.1/extremis/MD5                    |   23 ++-------
 extremis-1.2.1/extremis/NAMESPACE              |    7 +-
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 extremis-1.2.1/extremis/R/kgvar.R              |    3 -
 extremis-1.2.1/extremis/R/khetmeans.R          |    3 -
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Package AlphaSimR updated to version 1.3.4 with previous version 1.3.2 dated 2022-11-02

Title: Breeding Program Simulations
Description: The successor to the 'AlphaSim' software for breeding program simulation [Faux et al. (2016) <doi:10.3835/plantgenome2016.02.0013>]. Used for stochastic simulations of breeding programs to the level of DNA sequence for every individual. Contained is a wide range of functions for modeling common tasks in a breeding program, such as selection and crossing. These functions allow for constructing simulations of highly complex plant and animal breeding programs via scripting in the R software environment. Such simulations can be used to evaluate overall breeding program performance and conduct research into breeding program design, such as implementation of genomic selection. Included is the 'Markovian Coalescent Simulator' ('MaCS') for fast simulation of biallelic sequences according to a population demographic history [Chen et al. (2009) <doi:10.1101/gr.083634.108>].
Author: Chris Gaynor [aut, cre] , Gregor Gorjanc [ctb] , John Hickey [ctb] , Daniel Money [ctb] , David Wilson [ctb], Thiago Oliveira [ctb]
Maintainer: Chris Gaynor <gaynor.robert@hotmail.com>

Diff between AlphaSimR versions 1.3.2 dated 2022-11-02 and 1.3.4 dated 2022-12-09

 DESCRIPTION                      |   10 
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 R/Class-Pop.R                    | 1998 ++++++++--------
 R/Class-RRsol.R                  |   54 
 R/Class-SimParam.R               | 4682 +++++++++++++++++++--------------------
 R/GS.R                           | 3036 ++++++++++++-------------
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 tests/testthat/test-importData.R |   94 
 tests/testthat/test-statistics.R |   60 
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 174 files changed, 21958 insertions(+), 21885 deletions(-)

More information about AlphaSimR at CRAN
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Package KODAMA updated to version 2.3 with previous version 2.2 dated 2022-09-01

Title: Knowledge Discovery by Accuracy Maximization
Description: An unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data. It facilitates identification of patterns representing underlying groups on all samples in a data set. Based on Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics <doi:10.1093/bioinformatics/btw705> and Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>.
Author: Stefano Cacciatore [aut, trl, cre] , Leonardo Tenori [aut]
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>

Diff between KODAMA versions 2.2 dated 2022-09-01 and 2.3 dated 2022-12-09

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Package HTT updated to version 0.1.1 with previous version 0.1.0 dated 2022-12-01

Title: Hypothesis Testing Tree
Description: A novel decision tree algorithm in the hypothesis testing framework. The algorithm examines the distribution difference between two child nodes over all possible binary partitions. The test statistic of the hypothesis testing is equivalent to the generalized energy distance, which enables the algorithm to be more powerful in detecting the complex structure, not only the mean difference. It is applicable for numeric, nominal, ordinal explanatory variables and the response in general metric space of strong negative type. The algorithm has superior performance compared to other tree models in type I error, power, prediction accuracy, and complexity.
Author: Jiaqi Hu [cre, aut], Zhe Gao [aut], Bo Zhang [aut], Xueqin Wang [aut]
Maintainer: Jiaqi Hu <hujiaqi@mail.ustc.edu.cn>

Diff between HTT versions 0.1.0 dated 2022-12-01 and 0.1.1 dated 2022-12-09

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Package fake updated to version 1.3.0 with previous version 1.0.0 dated 2022-08-09

Title: Flexible Data Simulation Using the Multivariate Normal Distribution
Description: This R package can be used to generate artificial data conditionally on pre-specified (simulated or user-defined) relationships between the variables and/or observations. Each observation is drawn from a multivariate Normal distribution where the mean vector and covariance matrix reflect the desired relationships. Outputs can be used to evaluate the performances of variable selection, graphical modelling, or clustering approaches by comparing the true and estimated structures (B Bodinier et al (2021) <arXiv:2106.02521>).
Author: Barbara Bodinier [aut, cre]
Maintainer: Barbara Bodinier <b.bodinier@imperial.ac.uk>

Diff between fake versions 1.0.0 dated 2022-08-09 and 1.3.0 dated 2022-12-09

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New package dynamAedes with initial version 2.1.1
Package: dynamAedes
Version: 2.1.1
Date: 2022-11-21
Title: A Unified Mechanistic Model for the Population Dynamics of Invasive Aedes Mosquitoes
Depends: R (>= 3.6.0), raster
Imports: drc, fields, foreach, insol, slam, doParallel, sp
BugReports: https://github.com/mattmar/dynamAedes
Description: Generalised model for population dynamics of invasive Aedes mosquitoes. Rationale and model structure are described here: Da Re et al. (2021) <doi:10.1016/j.ecoinf.2020.101180> and Da Re et al. (2022) <doi:10.1101/2021.12.21.473628>.
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
License: GPL (>= 2)
Suggests: parallel, rmarkdown, knitr, eesim, geosphere, ggplot2, gstat, rgeos, spatstat, rgdal, tidyverse
URL: https://mattmar.github.io/dynamAedes/
NeedsCompilation: no
Packaged: 2022-12-09 09:21:26 UTC; matteo
Author: Matteo Marcantonio [aut, cre], Daniele Da Re [aut]
Maintainer: Matteo Marcantonio <marcantoniomatteo@gmail.com>
Repository: CRAN
Date/Publication: 2022-12-09 11:40:06 UTC

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New package adpss with initial version 0.1.2
Package: adpss
Title: Design and Analysis of Locally or Globally Efficient Adaptive Designs
Version: 0.1.2
Description: Provides the functions for planning and conducting a clinical trial with adaptive sample size determination. Maximal statistical efficiency will be exploited even when dramatic or multiple adaptations are made. Such a trial consists of adaptive determination of sample size at an interim analysis and implementation of frequentist statistical test at the interim and final analysis with a prefixed significance level. The required assumptions for the stage-wise test statistics are independent and stationary increments and normality. Predetermination of adaptation rule is not required.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/ca4wa/R-adpss
LinkingTo: Rcpp (>= 0.12.17)
Imports: Rcpp (>= 0.12.17)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-11-15 06:15:38 UTC; Kosuke Kashiwabara
Author: Kosuke Kashiwabara [aut, cre]
Maintainer: Kosuke Kashiwabara <kashiwabara-tky@umin.ac.jp>
Repository: CRAN
Date/Publication: 2022-12-09 11:52:30 UTC

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Package zipangu updated to version 0.3.2 with previous version 0.3.1 dated 2022-08-31

Title: Japanese Utility Functions and Data
Description: Some data treated by the Japanese R user require unique operations and processing. These are caused by address, Kanji, and traditional year representations. 'zipangu' transforms specific to Japan into something more general one.
Author: Shinya Uryu [aut, cre] , Hiroaki Yutani [ctb] , Kazuhiro Maeda [ctb], Mao Kobayashi [ctb], Akiru Kato [ctb]
Maintainer: Shinya Uryu <suika1127@gmail.com>

Diff between zipangu versions 0.3.1 dated 2022-08-31 and 0.3.2 dated 2022-12-09

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Package shapviz updated to version 0.4.0 with previous version 0.3.0 dated 2022-11-26

Title: SHAP Visualizations
Description: Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, and dependence plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', and 'kernelshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between shapviz versions 0.3.0 dated 2022-11-26 and 0.4.0 dated 2022-12-09

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Package requiRements updated to version 0.0.2 with previous version 0.0.1 dated 2021-06-18

Title: Helper Package to Install Packages for R
Description: Helper function to install packages for R using an external 'requirements.txt' or a string containing diverse packages from several resources like Github or CRAN.
Author: Jonathan M. Mang [aut, cre] , MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitaetsklinikum Erlangen [cph]
Maintainer: Jonathan M. Mang <jonathan.mang@uk-erlangen.de>

Diff between requiRements versions 0.0.1 dated 2021-06-18 and 0.0.2 dated 2022-12-09

 DESCRIPTION |   26 +++++++++++---------------
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Package tangram (with last version 0.8.1) was removed from CRAN

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

2022-08-19 0.8.1
2020-04-29 0.7.1

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Package ReorderCluster (with last version 2.0) was removed from CRAN

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

2022-06-21 2.0
2014-07-23 1.0

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Package DynComm (with last version 2020.1.6) was removed from CRAN

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

2020-10-07 2020.1.6
2020-09-28 2020.1.5

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