Thu, 18 Aug 2022

Package RcppArmadillo updated to version 0.11.2.3.1 with previous version 0.11.2.0.0 dated 2022-06-15

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package libbib updated to version 1.6.3 with previous version 1.6.2 dated 2021-08-18

Title: Various Utilities for Library Science/Assessment and Cataloging
Description: Provides functions for validating and normalizing bibliographic codes such as ISBN, ISSN, and LCCN. Also includes functions to communicate with the WorldCat API, translate Call numbers (Library of Congress and Dewey Decimal) to their subject classifications or subclassifications, and provides various loadable data files such call number / subject crosswalks and code tables.
Author: Tony Fischetti [aut, cre]
Maintainer: Tony Fischetti <tony.fischetti@gmail.com>

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Package glossr updated to version 0.6.0 with previous version 0.5.1 dated 2022-06-08

Title: Use Interlinear Glosses in R Markdown
Description: Read examples with interlinear glosses from files or from text and print them in a way compatible with both Latex and HTML outputs.
Author: Mariana Montes [aut, cre] , Benjamin Chauvette [cph]
Maintainer: Mariana Montes <montesmariana@gmail.com>

Diff between glossr versions 0.5.1 dated 2022-06-08 and 0.6.0 dated 2022-08-18

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Package babelwhale updated to version 1.1.0 with previous version 1.0.3 dated 2021-06-25

Title: Talking to 'Docker' and 'Singularity' Containers
Description: Provides a unified interface to interact with 'docker' and 'singularity' containers. You can execute a command inside a container, mount a volume or copy a file.
Author: Robrecht Cannoodt [aut, cre] , Wouter Saelens [aut] , Joel Nitta [aut]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

Diff between babelwhale versions 1.0.3 dated 2021-06-25 and 1.1.0 dated 2022-08-18

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Package scDHA updated to version 1.2.0 with previous version 1.1.2 dated 2021-09-15

Title: Single-Cell Decomposition using Hierarchical Autoencoder
Description: Provides a fast and accurate pipeline for single-cell analyses. The 'scDHA' software package can perform clustering, dimension reduction and visualization, classification, and time-trajectory inference on single-cell data (Tran et.al. (2021) <DOI:10.1038/s41467-021-21312-2>).
Author: Duc Tran [aut, cre], Tin Nguyen [fnd]
Maintainer: Duc Tran <duct@nevada.unr.edu>

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Package brpop updated to version 0.1.5 with previous version 0.1.0 dated 2022-07-06

Title: Brazilian Population Estimatives
Description: Datasets with yearly (2000 to 2021) Brazilian population estimates from DataSUS/Brazilian Health Ministry, aggregated by state, municipality, sex, and age groups. The data in this package is manually downloaded from the DataSUS website (<http://tabnet.datasus.gov.br/cgi/deftohtm.exe?popsvs/cnv/popbr.def>) and converted to tibbles.
Author: Raphael Saldanha [aut, cre]
Maintainer: Raphael Saldanha <raphael.saldanha@icict.fiocruz.br>

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Package ModelMap updated to version 3.4.0.2 with previous version 3.4.0.1 dated 2018-09-11

Title: Modeling and Map Production using Random Forest and Related Stochastic Models
Description: Creates sophisticated models of training data and validates the models with an independent test set, cross validation, or Out Of Bag (OOB) predictions on the training data. Create graphs and tables of the model validation results. Applies these models to GIS .img files of predictors to create detailed prediction surfaces. Handles large predictor files for map making, by reading in the .img files in chunks, and output to the .txt file the prediction for each data chunk, before reading the next chunk of data.
Author: Elizabeth Freeman, Tracey Frescino
Maintainer: Elizabeth Freeman <eafreeman@fs.fed.us>

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Package geosapi updated to version 0.6-4 with previous version 0.6-3 dated 2022-06-17

Title: GeoServer REST API R Interface
Description: Provides an R interface to the GeoServer REST API, allowing to upload and publish data in a GeoServer web-application and expose data to OGC Web-Services. The package currently supports all CRUD (Create,Read,Update,Delete) operations on GeoServer workspaces, namespaces, datastores (stores of vector data), featuretypes, layers, styles, as well as vector data upload operations. For more information about the GeoServer REST API, see <https://docs.geoserver.org/stable/en/user/rest/>.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package synthACS updated to version 1.7.0 with previous version 1.6.2 dated 2022-07-07

Title: Synthetic Microdata and Spatial MicroSimulation Modeling for ACS Data
Description: Provides access to curated American Community Survey (ACS) base tables via a wrapper to library(acs). Builds synthetic micro-datasets at any user-specified geographic level with ten default attributes; and, conducts spatial microsimulation modeling (SMSM) via simulated annealing. SMSM is conducted in parallel by default. Lastly, we provide functionality for data-extensibility of micro-datasets.
Author: Alex Whitworth [aut, cre]
Maintainer: Alex Whitworth <whitworth.alex@gmail.com>

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Package oce updated to version 1.7-10 with previous version 1.7-8 dated 2022-07-05

Title: Analysis of Oceanographic Data
Description: Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively by Kelley (2018) "Oceanographic Analysis with R" <doi:10.1007/978-1-4939-8844-0>.
Author: Dan Kelley [aut, cre] , Clark Richards [aut] , Chantelle Layton [ctb] coauthor), British Geological Survey [ctb, cph]
Maintainer: Dan Kelley <Dan.Kelley@Dal.Ca>

Diff between oce versions 1.7-8 dated 2022-07-05 and 1.7-10 dated 2022-08-18

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Package canvasXpress updated to version 1.39.8 with previous version 1.37.4 dated 2022-02-09

Title: Visualization Package for CanvasXpress in R
Description: Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <https://www.canvasxpress.org> for more information.
Author: Isaac Neuhaus [aut], Connie Brett [aut, cre]
Maintainer: Connie Brett <connie@aggregate-genius.com>

Diff between canvasXpress versions 1.37.4 dated 2022-02-09 and 1.39.8 dated 2022-08-18

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Package SUNGEO updated to version 0.2.292 with previous version 0.2.291 dated 2022-08-10

Title: Sub-National Geospatial Data Archive: Geoprocessing Toolkit
Description: Tools for integrating spatially-misaligned GIS datasets. Part of the Sub-National Geospatial Data Archive System.
Author: Jason Byers, Marty Davidson, Yuri M. Zhukov
Maintainer: Yuri M. Zhukov <zhukov@umich.edu>

Diff between SUNGEO versions 0.2.291 dated 2022-08-10 and 0.2.292 dated 2022-08-18

 DESCRIPTION    |    8 ++++----
 MD5            |    8 ++++----
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 README.md      |    2 +-
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 5 files changed, 40 insertions(+), 12 deletions(-)

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Package HDCurves updated to version 0.1.1 with previous version 0.1.0 dated 2020-02-11

Title: Hierarchical Derivative Curve Estimation
Description: A procedure that fits derivative curves based on a sequence of quotient differences. In a hierarchical setting the package produces estimates of subject-specific and group-specific derivative curves. In a non-hierarchical setting the package produces a single derivative curve.
Author: Garritt L. Page [aut, cre], Maria Xose Rodriguez-Alvarez [aut], Dae-Jin Lee [ctb], S. McKay Curtis [ctb], Radford M. Neal Neal [ctb]
Maintainer: Garritt L. Page <page@stat.byu.edu>

Diff between HDCurves versions 0.1.0 dated 2020-02-11 and 0.1.1 dated 2022-08-18

 DESCRIPTION      |    6 +++---
 MD5              |   10 ++++++----
 NAMESPACE        |    1 +
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Package adjclust updated to version 0.6.5 with previous version 0.6.4 dated 2022-03-31

Title: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix
Description: Implements a constrained version of hierarchical agglomerative clustering, in which each observation is associated to a position, and only adjacent clusters can be merged. Typical application fields in bioinformatics include Genome-Wide Association Studies or Hi-C data analysis, where the similarity between items is a decreasing function of their genomic distance. Taking advantage of this feature, the implemented algorithm is time and memory efficient. This algorithm is described in Ambroise et al (2019) <https://almob.biomedcentral.com/articles/10.1186/s13015-019-0157-4>.
Author: Christophe Ambroise [aut], Shubham Chaturvedi [aut], Alia Dehman [aut], Pierre Neuvial [aut, cre], Guillem Rigaill [aut], Nathalie Vialaneix [aut], Gabriel Hoffman [aut]
Maintainer: Pierre Neuvial <pierre.neuvial@math.univ-toulouse.fr>

Diff between adjclust versions 0.6.4 dated 2022-03-31 and 0.6.5 dated 2022-08-18

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Permanent link

New package VLF with initial version 1.1
Package: VLF
Title: Frequency Matrix Approach for Assessing Very Low Frequency Variants in Sequence Records
Version: 1.1
Date: 2022-08-17
Author: Taryn B. T. Athey [aut, cre], Paul D. McNicholas [aut, cre], Jarrett D. Phillips [ctb]
Maintainer: Taryn B. T. Athey <taryn.athey@gmail.com>
Description: Using frequency matrices, very low frequency variants (VLFs) are assessed for amino acid and nucleotide sequences. The VLFs are then compared to see if they occur in only one member of a species, singleton VLFs, or if they occur in multiple members of a species, shared VLFs. The amino acid and nucleotide VLFs are then compared to see if they are concordant with one another. Amino acid VLFs are also assessed to determine if they lead to a change in amino acid residue type, and potential changes to protein structures. Based on Stoeckle and Kerr (2012) <doi:10.1371/journal.pone.0043992>.
License: GPL (>= 3)
Depends: R (>= 2.10)
NeedsCompilation: no
Repository: CRAN
Packaged: 2022-08-17 21:23:08 UTC; jarrettphillips
Date/Publication: 2022-08-18 12:30:06 UTC

More information about VLF at CRAN
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Package telegram.bot updated to version 2.4.1 with previous version 2.4.0 dated 2019-10-19

Title: Develop a 'Telegram Bot' with R
Description: Provides a pure interface for the 'Telegram Bot API' <http://core.telegram.org/bots/api>. In addition to the pure API implementation, it features a number of tools to make the development of 'Telegram' bots with R easy and straightforward, providing an easy-to-use interface that takes some work off the programmer.
Author: Ernest Benedito [aut, cre]
Maintainer: Ernest Benedito <ebeneditos@gmail.com>

Diff between telegram.bot versions 2.4.0 dated 2019-10-19 and 2.4.1 dated 2022-08-18

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New package rmzqc with initial version 0.1.0
Package: rmzqc
Title: Creation, Reading and Validation of 'mzqc' Files
Version: 0.1.0
Date: 2022-08-15
Description: Reads, writes and validates 'mzQC' files. The 'mzQC' format is a standardized file format for the exchange, transmission, and archiving of quality metrics derived from biological mass spectrometry data, as defined by the HUPO-PSI (Human Proteome Organisation - Proteomics Standards Initiative) Quality Control working group. See <https://hupo-psi.github.io/mzQC/> for details.
Imports: jsonlite, knitr, methods, ontologyIndex, rmarkdown, R6, R6P, testthat, tools
VignetteBuilder: knitr
License: MIT + file LICENSE
URL: https://github.com/MS-Quality-hub/rmzqc
BugReports: https://github.com/MS-Quality-hub/rmzqc/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-08-16 19:34:08 UTC; bielow
Author: Chris Bielow [aut, cre] , David Jimenez-Morales [rev]
Maintainer: Chris Bielow <chris.bielow@bsc.fu-berlin.de>
Repository: CRAN
Date/Publication: 2022-08-18 12:20:02 UTC

More information about rmzqc at CRAN
Permanent link

Package regnet updated to version 1.0.0 with previous version 0.4.0 dated 2019-06-08

Title: Network-Based Regularization for Generalized Linear Models
Description: Network-based regularization has achieved success in variable selection for high-dimensional biological data due to its ability to incorporate correlations among genomic features. This package provides procedures of network-based variable selection for generalized linear models (Ren et al. (2017) <doi:10.1186/s12863-017-0495-5> and Ren et al.(2019) <doi:10.1002/gepi.22194>). Continuous, binary, and survival response are supported. Robust network-based methods are available for continuous and survival responses.
Author: Jie Ren, Luann C. Jung, Yinhao Du, Cen Wu, Yu Jiang, Junhao Liu
Maintainer: Jie Ren <jieren@ksu.edu>

Diff between regnet versions 0.4.0 dated 2019-06-08 and 1.0.0 dated 2022-08-18

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New package RclusTool with initial version 0.91.4
Package: RclusTool
Title: Graphical Toolbox for Clustering and Classification of Data Frames
Version: 0.91.4
Date: 2022-07-21
Author: Guillaume Wacquet [aut], Pierre-Alexandre Hebert [aut, cre], Emilie Poisson [aut], Pierre Talon [aut]
Maintainer: Pierre-Alexandre Hebert <hebert@univ-littoral.fr>
Description: Graphical toolbox for clustering and classification of data frames. It proposes a graphical interface to process clustering and classification methods on features data-frames, and to view initial data as well as resulted cluster or classes. According to the level of available labels, different approaches are proposed: unsupervised clustering, semi-supervised clustering and supervised classification. To assess the processed clusters or classes, the toolbox can import and show some supplementary data formats: either profile/time series, or images. These added information can help the expert to label clusters (clustering), or to constrain data frame rows (semi-supervised clustering), using Constrained spectral embedding algorithm by Wacquet et al. (2013) <doi:10.1016/j.patrec.2013.02.003> and the methodology provided by Wacquet et al. (2013) <doi:10.1007/978-3-642-35638-4_21>.
License: GPL (>= 2)
Depends: R (>= 3.0.0), tcltk, tcltk2, tkrplot
Imports: class, cluster, conclust, corrplot, e1071, factoextra, FactoMineR, ggplot2, grid, jpeg, knitr, MASS, mclust, mda, mmand, nnet, png, randomForest, reshape, rlang, SearchTrees, sp, stats, stringi, stringr, tools
SystemRequirements: XQuartz (on OSX)
NeedsCompilation: no
Packaged: 2022-08-17 21:39:44 UTC; hebert
Repository: CRAN
Date/Publication: 2022-08-18 12:30:10 UTC
URL: mawenzi.univ-littoral.fr/RclusTool

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New package qrNLMM with initial version 3.3
Package: qrNLMM
Title: Quantile Regression for Nonlinear Mixed-Effects Models
Version: 3.3
Date: 2022-08-17
Author: Christian E. Galarza <chedgala@espol.edu.ec> and Victor H. Lachos <hlachos@uconn.edu>
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>
Imports: mvtnorm, lqr, quantreg, psych, ald, progress
Description: Quantile regression (QR) for Nonlinear Mixed-Effects Models via the asymmetric Laplace distribution (ALD). It uses the Stochastic Approximation of the EM (SAEM) algorithm for deriving exact maximum likelihood estimates and full inference results for the fixed-effects and variance components. It also provides prediction and graphical summaries for assessing the algorithm convergence and fitting results.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-08-17 13:36:29 UTC; cgala
Repository: CRAN
Date/Publication: 2022-08-18 12:40:05 UTC

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New package mcboost with initial version 0.4.2
Package: mcboost
Title: Multi-Calibration Boosting
Version: 0.4.2
Maintainer: Florian Pfisterer <pfistererf@googlemail.com>
Description: Implements 'Multi-Calibration Boosting' (2018) <https://proceedings.mlr.press/v80/hebert-johnson18a.html> and 'Multi-Accuracy Boosting' (2019) <arXiv:1805.12317> for the multi-calibration of a machine learning model's prediction. 'MCBoost' updates predictions for sub-groups in an iterative fashion in order to mitigate biases like poor calibration or large accuracy differences across subgroups. Multi-Calibration works best in scenarios where the underlying data & labels are unbiased, but resulting models are. This is often the case, e.g. when an algorithm fits a majority population while ignoring or under-fitting minority populations.
License: LGPL (>= 3)
URL: https://github.com/mlr-org/mcboost
BugReports: https://github.com/mlr-org/mcboost/issues
Encoding: UTF-8
Depends: R (>= 3.1.0)
Imports: backports, checkmate (>= 2.0.0), data.table (>= 1.13.6), mlr3 (>= 0.10), mlr3misc (>= 0.8.0), mlr3pipelines (>= 0.3.0), R6 (>= 2.4.1), rmarkdown, rpart, glmnet
Suggests: curl, lgr, formattable, tidyverse, PracTools, mlr3learners, mlr3oml, neuralnet, paradox, knitr, ranger, xgboost, covr, testthat (>= 3.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-17 20:43:41 UTC; flo
Author: Florian Pfisterer [cre, aut] , Susanne Dandl [ctb] , Christoph Kern [ctb] , Carolin Becker [ctb], Bernd Bischl [ctb]
Repository: CRAN
Date/Publication: 2022-08-18 12:30:02 UTC

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Package dodgr updated to version 0.2.15 with previous version 0.2.14 dated 2022-06-08

Title: Distances on Directed Graphs
Description: Distances on dual-weighted directed graphs using priority-queue shortest paths (Padgham (2019) <doi:10.32866/6945>). Weighted directed graphs have weights from A to B which may differ from those from B to A. Dual-weighted directed graphs have two sets of such weights. A canonical example is a street network to be used for routing in which routes are calculated by weighting distances according to the type of way and mode of transport, yet lengths of routes must be calculated from direct distances.
Author: Mark Padgham [aut, cre], Andreas Petutschnig [aut], David Cooley [aut], Robin Lovelace [ctb], Andrew Smith [ctb], Malcolm Morgan [ctb], Shane Saunders [cph]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package ConvergenceConcepts updated to version 1.2.3 with previous version 1.2.2 dated 2019-09-18

Title: Seeing Convergence Concepts in Action
Description: This is a pedagogical package, designed to help students understanding convergence of random variables. It provides a way to investigate interactively various modes of convergence (in probability, almost surely, in law and in mean) of a sequence of i.i.d. random variables. Visualisation of simulated sample paths is possible through interactive plots. The approach is illustrated by examples and exercises through the function 'investigate', as described in Lafaye de Micheaux and Liquet (2009) <doi:10.1198/tas.2009.0032>. The user can study his/her own sequences of random variables.
Author: Pierre Lafaye De Micheaux [aut, cre], Benoit Liquet [aut]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>

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Package transformr updated to version 0.1.4 with previous version 0.1.3 dated 2020-07-05

Title: Polygon and Path Transformations
Description: In order to smoothly animate the transformation of polygons and paths, many aspects needs to be taken into account, such as differing number of control points, changing center of rotation, etc. The 'transformr' package provides an extensive framework for manipulating the shapes of polygons and paths and can be seen as the spatial brother to the 'tweenr' package.
Author: Thomas Lin Pedersen [cre, aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between transformr versions 0.1.3 dated 2020-07-05 and 0.1.4 dated 2022-08-18

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Package ptmixed updated to version 1.1.3 with previous version 1.1.2 dated 2022-04-01

Title: Poisson-Tweedie Generalized Linear Mixed Model
Description: Fits the Poisson-Tweedie generalized linear mixed model described in Signorelli et al. (2021, <doi:10.1177/1471082X20936017>). Likelihood approximation based on adaptive Gauss Hermite quadrature rule.
Author: Mirko Signorelli [aut, cre, cph] , Pietro Spitali [ctb], Roula Tsonaka [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

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Package multid updated to version 0.7.0 with previous version 0.6.0 dated 2022-06-08

Title: Multivariate Difference Between Two Groups
Description: Estimation of multivariate differences between two groups (e.g., multivariate sex differences) with regularized regression methods and predictive approach. See Lönnqvist & Ilmarinen (2021) <doi:10.1007/s11109-021-09681-2> and Ilmarinen et al. (2022) <doi:10.1177/08902070221088155>. Includes tools that help in understanding difference score reliability, predictions of difference score variables, conditional intra-class correlations, and heterogeneity of variance estimates. Package development was supported by the Academy of Finland research grant 338891.
Author: Ville-Juhani Ilmarinen [aut, cre]
Maintainer: Ville-Juhani Ilmarinen <vj.ilmarinen@gmail.com>

Diff between multid versions 0.6.0 dated 2022-06-08 and 0.7.0 dated 2022-08-18

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Package citation updated to version 0.6.3 with previous version 0.6.2 dated 2022-01-31

Title: Software Citation Tools
Description: A collection of functions to extract citation information from 'R' packages and to deal with files in 'citation file format' (<https://citation-file-format.github.io/>), extending the functionality already provided by the citation() function in the 'utils' package.
Author: Jan Philipp Dietrich [aut, cre], Waldir Leoncio [aut]
Maintainer: Jan Philipp Dietrich <dietrich@pik-potsdam.de>

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Package charlatan updated to version 0.5.0 with previous version 0.4.0 dated 2020-01-24

Title: Make Fake Data
Description: Make fake data, supporting addresses, person names, dates, times, colors, coordinates, currencies, digital object identifiers ('DOIs'), jobs, phone numbers, 'DNA' sequences, doubles and integers from distributions and within a range.
Author: Scott Chamberlain [aut, cre] , Kyle Voytovich [aut], Martin Pedersen [ctb], Brooke Anderson [rev] , Tristan Mahr [rev] , rOpenSci [fnd]
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>

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Package mlr3spatial updated to version 0.2.0 with previous version 0.1.2 dated 2022-03-06

Title: Support for Spatial Objects Within the 'mlr3' Ecosystem
Description: Extends the 'mlr3' ML framework with methods for spatial objects. Data storage and prediction are supported for packages 'terra', 'raster' and 'stars'.
Author: Marc Becker [aut, cre] , Patrick Schratz [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3spatial versions 0.1.2 dated 2022-03-06 and 0.2.0 dated 2022-08-18

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Package common updated to version 1.0.3 with previous version 1.0.1 dated 2022-07-18

Title: Solutions for Common Problems in Base R
Description: Contains functions for solving commonly encountered problems while programming in R. This package is intended to provide a lightweight supplement to Base R, and will be useful for almost any R user.
Author: David Bosak [aut, cre], Andrew Simmons [aut], Duong Tran [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between common versions 1.0.1 dated 2022-07-18 and 1.0.3 dated 2022-08-18

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Package biogeom updated to version 1.1.1 with previous version 1.0.9 dated 2022-08-07

Title: Biological Geometries
Description: Is used to simulate and fit biological geometries. 'biogeom' incorporates several novel universal parametric equations that can generate the profiles of bird eggs, flowers, linear and lanceolate leaves, seeds, starfish, and tree-rings (Gielis (2003) <doi:10.3732/ajb.90.3.333>; Shi et al. (2020) <doi:10.3390/sym12040645>), three growth-rate curves representing the ontogenetic growth trajectories of animals and plants against time, and the axially symmetrical and integral forms of all these functions (Shi et al. (2017) <doi:10.1016/j.ecolmodel.2017.01.012>; Shi et al. (2021) <doi:10.3390/sym13081524>). The optimization method proposed by Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308> was used to estimate model parameters. 'biogeom' includes several real data sets of the boundary coordinates of natural shapes, including avian eggs, fruit, lanceolate and ovate leaves, tree rings, seeds, and sea stars,and can be potentially applied to other natural shapes. [...truncated...]
Author: Peijian Shi [aut, cre], Johan Gielis [aut], Brady K. Quinn [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>

Diff between biogeom versions 1.0.9 dated 2022-08-07 and 1.1.1 dated 2022-08-18

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New package sendigR with initial version 1.0.0
Package: sendigR
Title: Enable Cross-Study Analysis of 'CDISC' 'SEND' Datasets
Version: 1.0.0
Description: A system enables cross study Analysis by extracting and filtering study data for control animals from 'CDISC' 'SEND' Study Repository. These data types are supported: Body Weights, Laboratory test results and Microscopic findings. These database types are supported: 'SQLite' and 'Oracle'.
License: MIT + file LICENSE
URL: https://github.com/phuse-org/sendigR
BugReports: https://github.com/phuse-org/sendigR/issues
Encoding: UTF-8
Imports: RSQLite, data.table, readxl, magrittr, xfun, stringr, DescTools, parsedate, shiny, shinydashboard, htmltools, DT, dplyr, ggplot2, Hmisc, haven, plotly, cicerone, reticulate, sjlabelled
Suggests: knitr, rmarkdown, logr, shinycssloaders, testthat
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
SystemRequirements: Python(>=3.9.6)
NeedsCompilation: no
Packaged: 2022-08-17 02:48:35 UTC; wangw106
Author: Bo Larsen [aut], Yousuf Ali [aut], Kevin Snyder [aut], William Houser [aut], Brianna Paisley [aut], Cmsabbir Ahmed [aut], Susan Butler [aut], Michael Rosentreter [aut], Michael Denieu [aut], Wenxian Wang [cre, aut], BioCelerate [cph]
Maintainer: Wenxian Wang <wenxian.wang@bms.com>
Repository: CRAN
Date/Publication: 2022-08-18 08:50:02 UTC

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New package qmd with initial version 1.1.1
Package: qmd
Title: Quantification of Multivariate Dependence
Version: 1.1.1
Description: A multivariate copula-based dependence measure. For more information, see Griessenberger, Junker, Trutschnig (2022), On a multivariate copula-based dependence measure and its estimation, Electronic Journal of Statistics, 16, 2206-2251.
License: GPL (>= 2)
Imports: qad, Rcpp (>= 1.0.6), ggplot2, cowplot, dplyr, utils
Encoding: UTF-8
LinkingTo: Rcpp, BH
NeedsCompilation: yes
Packaged: 2022-08-17 13:24:47 UTC; HP
Author: Nicolas Dietrich [aut, cre], Florian Griessenberger [aut], Robert R. Junker [aut], Valentin Petztel [aut], Wolfgang Trutschnig [aut]
Maintainer: Nicolas Dietrich <nicolaspascal.dietrich@plus.ac.at>
Repository: CRAN
Date/Publication: 2022-08-18 08:40:02 UTC

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New package PWIR with initial version 0.0.1
Package: PWIR
Title: Provides a Function to Calculate Prize Winner Indices Based on Bibliometric Data
Version: 0.0.1
Description: A function 'PWI()' that calculates prize winner indices based on bibliometric data is provided. The default is the 'Derek de Solla Price Memorial Medal'. Users can provide recipients of other prizes.
Imports: bibliometrix, igraph
License: EUPL
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-08-17 08:07:12 UTC; rhaun
Author: Robin Haunschild [aut, cre]
Maintainer: Robin Haunschild <R.Haunschild@fkf.mpg.de>
Repository: CRAN
Date/Publication: 2022-08-18 08:10:05 UTC

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New package neighbours with initial version 0.1-1
Package: neighbours
Title: Neighbourhood Functions for Local-Search Algorithms
Version: 0.1-1
Date: 2022-08-17
Maintainer: Enrico Schumann <es@enricoschumann.net>
Description: Neighbourhood functions are key components of local-search algorithms such as Simulated Annealing or Threshold Accepting. These functions take a solution and return a slightly-modified copy of it, i.e. a neighbour. The package provides a function neighbourfun() that constructs such neighbourhood functions, based on parameters such as admissible ranges for elements in a solution. Supported are numeric and logical solutions. The algorithms were originally created for portfolio-optimisation applications, but can be used for other models as well. Several recipes for neighbour computations are taken from "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658).
License: GPL-3
URL: http://enricoschumann.net/R/packages/neighbours/ , https://sr.ht/~enricoschumann/neighbours/ , https://github.com/enricoschumann/neighbours
Suggests: NMOF, tinytest
NeedsCompilation: no
Packaged: 2022-08-17 13:48:29 UTC; es19
Author: Enrico Schumann [aut, cre]
Repository: CRAN
Date/Publication: 2022-08-18 08:50:06 UTC

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New package JSparO with initial version 1.5.0
Package: JSparO
Title: Joint Sparse Optimization via Proximal Gradient Method for Cell Fate Conversion
Version: 1.5.0
Author: Xinlin Hu [aut, cre], Yaohua Hu [cph, aut]
Description: Implementation of joint sparse optimization (JSparO) to infer the gene regulatory network for cell fate conversion. The proximal gradient method is implemented to solve different low-order regularization models for JSparO.
Maintainer: Xinlin Hu <thompson-xinlin.hu@connect.polyu.hk>
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: pracma
NeedsCompilation: no
Packaged: 2022-08-17 11:09:41 UTC; Thompson
Repository: CRAN
Date/Publication: 2022-08-18 08:40:08 UTC

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Package jenga updated to version 1.3.0 with previous version 1.2.0 dated 2022-05-23

Title: Fast Extrapolation of Time Features using K-Nearest Neighbors
Description: Fast extrapolation of univariate and multivariate time features using K-Nearest Neighbors. The compact set of hyper-parameters is tuned via grid or random search.
Author: Giancarlo Vercellino
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

Diff between jenga versions 1.2.0 dated 2022-05-23 and 1.3.0 dated 2022-08-18

 DESCRIPTION  |    9 -
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Package gert updated to version 1.7.1 with previous version 1.7.0 dated 2022-08-07

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] , Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between gert versions 1.7.0 dated 2022-08-07 and 1.7.1 dated 2022-08-18

 DESCRIPTION        |    6 +++---
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New package epitopR with initial version 0.1.0
Package: epitopR
Title: Predict Peptide-MHC Binding
Version: 0.1.0
Description: A suite of tools to predict peptide MHC (major histocompatibility complex) presentation in the context of both human and mouse. Polymorphic peptides between self and foreign proteins are identified. The ability of peptides to bind self MHC is assessed and scored. Based on half maximal inhibitory concentration as queried through the immune epitope database API <http://tools.iedb.org/mhcii/> using user defined methods, the foreign peptides most likely to be presented are output along with their predicted binding strength, amino acid position, the protein from which each peptide was derived, and the presenting allele. "References:" Vita R, Mahajan S, Overton JA, Dhanda SK, Martini S, Cantrell JR, Wheeler DK, Sette A, Peters B. <doi:10.1093/nar/gky1006>.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: devtools, dplyr, usethis, rstudioapi, fs, here, httr, janitor, purrr, stringr, tibble, tidyverse, utils, readr, ggseqlogo, Biostrings, msa, seqinr
NeedsCompilation: no
Packaged: 2022-08-17 15:27:18 UTC; xzhan50
Author: Joan Zhang [aut, cre], Aileen Johnson [aut], Christian P Larsen [cph, aut]
Maintainer: Joan Zhang <joan.zhang@emory.edu>
Repository: CRAN
Date/Publication: 2022-08-18 08:50:12 UTC

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New package dataversionr with initial version 0.9.0
Package: dataversionr
Title: Time Versioned Storage of Data Frames
Version: 0.9.0
Description: Create, update, read and delete data frames in time versioned, parquet-backed datasets. Inspect how your data frame has changed over time. Run your analysis against multiple versions of your data frame.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: arrow (>= 8.0.0), dplyr, lubridate, purrr, diffdfs, tidyr, magrittr, rlang (>= 1.0.2)
Suggests: testthat (>= 3.0.0), withr, sys, aws.s3, tzdb
NeedsCompilation: no
Packaged: 2022-08-17 13:38:09 UTC; jovyan
Author: Riaz Arbi [aut, cre]
Maintainer: Riaz Arbi <dataversionr@arbidata.com>
Repository: CRAN
Date/Publication: 2022-08-18 08:40:05 UTC

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New package ctmva with initial version 1.0
Package: ctmva
Title: Continuous-Time Multivariate Analysis
Version: 1.0
Date: 2022-08-06
Maintainer: Biplab Paul <paul.biplab497@gmail.com>
Description: Implements a basis function or functional data analysis framework for several techniques of multivariate analysis in continuous-time setting. Specifically, we introduced continuous-time analogues of several classical techniques of multivariate analysis, such as principal component analysis, canonical correlation analysis, Fisher linear discriminant analysis, K-means clustering, and so on. Details are in Philip T Reiss and Biplab Paul (2022) "Continuous-time multivariate analysis"; James O Ramsay, Bernard W Silverman (2005) <ISBN:978-0-387-22751-1> "Functional Data Analysis"; James O Ramsay, Giles Hooker and Spencer Graves (2009) <ISBN:978-0-387-98185-7> "Functional Data Analysis with R and MATLAB".
License: GPL (>= 2)
Imports: fda, polynom
Suggests: eegkit, corrplot
Author: Biplab Paul [aut, cre], Philip Tzvi Reiss [aut]
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-08-17 14:02:47 UTC; GOBINDO
Repository: CRAN
Date/Publication: 2022-08-18 08:50:15 UTC

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New package CirclesIntersections with initial version 1.0
Package: CirclesIntersections
Title: Algorithm for Computation of the Intersection Areas of N Circles
Version: 1.0
Description: Implementation of Librino, Levorato, and Zorzi (2014) <doi:10.1002/wcm.2305> algorithm for computation of the intersection areas of an arbitrary number of circles.
License: MIT + file LICENSE
Encoding: UTF-8
BugReports: https://github.com/hugosal/CirclesIntersections/issues
URL: https://github.com/hugosal/CirclesIntersections
NeedsCompilation: no
Packaged: 2022-08-17 10:30:26 UTC; hmatus
Author: Hugo Salinas [aut, cre]
Maintainer: Hugo Salinas <hugosal@comunidad.unam.mx>
Repository: CRAN
Date/Publication: 2022-08-18 08:20:02 UTC

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Package AeroSampleR updated to version 0.1.14 with previous version 0.1.12 dated 2021-12-03

Title: Estimate Aerosol Particle Collection Through Sample Lines
Description: Estimate ideal efficiencies of aerosol sampling through sample lines. Functions were developed consistent with the approach described in Hogue, Mark; Thompson, Martha; Farfan, Eduardo; Hadlock, Dennis, (2014), "Hand Calculations for Transport of Radioactive Aerosols through Sampling Systems" Health Phys 106, 5, S78-S87, <doi:10.1097/HP.0000000000000092>.
Author: Mark Hogue
Maintainer: Mark Hogue <mark.hogue.chp@gmail.com>

Diff between AeroSampleR versions 0.1.12 dated 2021-12-03 and 0.1.14 dated 2022-08-18

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New package vistla with initial version 1.0.0
Package: vistla
Title: Detecting Influence Paths with Information Theory
Version: 1.0.0
Description: Traces information spread through interactions between features, utilising information theory measures and a higher-order generalisation of the concept of widest paths in graphs. In particular, 'vistla' can be used to better understand the results of high-throughput biomedical experiments, by organising the effects of the investigated intervention in a tree-like hierarchy from direct to indirect ones, following the plausible information relay circuits. Due to its higher-order nature, 'vistla' can handle multi-modality and assign multiple roles to a single feature.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2022-08-16 20:08:49 UTC; mbq
Author: Miron B. Kursa [aut, cre]
Maintainer: Miron B. Kursa <m@mbq.me>
Repository: CRAN
Date/Publication: 2022-08-18 07:40:02 UTC

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Package parsnip updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-16

Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', etc).
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], Emil Hvitfeldt [ctb], RStudio [cph, fnd]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between parsnip versions 1.0.0 dated 2022-06-16 and 1.0.1 dated 2022-08-18

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New package ordr with initial version 0.1.0
Package: ordr
Title: A 'tidyverse' Extension for Ordinations and Biplots
Version: 0.1.0
Description: Ordination comprises several multivariate exploratory and explanatory techniques with theoretical foundations in geometric data analysis; see Podani (2000, ISBN:90-5782-067-6) for techniques and applications and Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0> for foundations. Greenacre (2010, ISBN:978-84-923846) shows how the most established of these, including principal components analysis, correspondence analysis, multidimensional scaling, factor analysis, and discriminant analysis, rely on eigen-decompositions or singular value decompositions of pre-processed numeric matrix data. These decompositions give rise to a set of shared coordinates along which the row and column elements can be measured. The overlay of their scatterplots on these axes, introduced by Gabriel (1971) <doi:10.1093/biomet/58.3.453>, is called a biplot. 'ordr' provides inspection, extraction, manipulation, and visualization tools for several popular ordination classes supported by a set of recovery methods. It is inspired by and designed to integrate into 'tidyverse' workflows provided by Wickham et al (2019) <doi:10.21105/joss.01686>.
Depends: R (>= 3.3.0), ggplot2
Imports: rlang, stringr, tidyselect, scales, generics, magrittr, tibble, broom, tidyr, dplyr, purrr, labeling, ggrepel,
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat, sessioninfo, gridExtra, MASS, mlpack, vegan, heplots, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-16 14:15:28 UTC; jason.brunson
Author: Jason Cory Brunson [aut, cre] , Emily Paul [ctb]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-18 07:40:05 UTC

More information about ordr at CRAN
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New package ICED with initial version 0.0.1
Package: ICED
Title: IntraClass Effect Decomposition
Version: 0.0.1
Maintainer: Sam Parsons <sam.parsons@radboudumc.nl>
Description: Estimate test-retest reliability for complex sampling strategies and extract variances using IntraClass Effect Decomposition. Developed by Brandmaier et al. (2018) "Assessing reliability in neuroimaging research through intra-class effect decomposition (ICED)" <doi:10.7554/eLife.35718> Also includes functions to simulate data based on sampling strategy. Unofficial version release name: "Good work squirrels".
License: MIT + file LICENSE
URL: https://github.com/sdparsons/ICED
BugReports: https://github.com/sdparsons/ICED
Imports: boot, knitr, lavaan, MASS, stringr
VignetteBuilder: knitr
Encoding: UTF-8
Suggests: rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-08-16 15:04:08 UTC; samdp
Author: Sam Parsons [aut, cre] , Rogier Kievit [aut] , Andreas Brandmaier [aut]
Repository: CRAN
Date/Publication: 2022-08-18 07:40:10 UTC

More information about ICED at CRAN
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Package ggforce updated to version 0.3.4 with previous version 0.3.3 dated 2021-03-05

Title: Accelerating 'ggplot2'
Description: The aim of 'ggplot2' is to aid in visual data investigations. This focus has led to a lack of facilities for composing specialised plots. 'ggforce' aims to be a collection of mainly new stats and geoms that fills this gap. All additional functionality is aimed to come through the official extension system so using 'ggforce' should be a stable experience.
Author: Thomas Lin Pedersen [cre, aut] , RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between ggforce versions 0.3.3 dated 2021-03-05 and 0.3.4 dated 2022-08-18

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New package ggcoverage with initial version 0.7.0
Package: ggcoverage
Title: Visualize Genome Coverage with Various Annotations
Version: 0.7.0
Maintainer: Yabing Song <songyb0519@gmail.com>
Description: The goal of 'ggcoverage' is to simplify the process of visualizing genome coverage. It contains functions to load data from BAM, BigWig or BedGraph files, create genome coverage plot, add various annotations to the coverage plot, including base and amino acid annotation, GC annotation, gene annotation, transcript annotation, ideogram annotation and peak annotation.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, GenomicRanges, ggbio, ggh4x, ggplot2, ggrepel, grDevices, IRanges, magrittr, patchwork, RColorBrewer, rlang, Rsamtools, rtracklayer, scales, stats, utils, methods, GenomeInfoDb, S4Vectors, Biostrings, BSgenome, GenomicAlignments, reshape2, seqinr
Suggests: rmarkdown, knitr, BiocStyle, htmltools, BSgenome.Hsapiens.UCSC.hg19, graphics
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-16 13:24:48 UTC; songyabing
Author: Yabing Song [aut, cre]
Repository: CRAN
Date/Publication: 2022-08-18 07:20:02 UTC

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New package EloSteepness with initial version 0.4.5
Package: EloSteepness
Title: Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores
Version: 0.4.5
Date: 2022-07-26
Maintainer: Christof Neumann <christofneumann1@gmail.com>
Description: Obtain Bayesian posterior distributions of dominance hierarchy steepness (Neumann and Fischer (2022) <doi:10.1101/2022.01.28.478016>). Steepness estimation is based on Bayesian implementations of either Elo-rating or David's scores.
License: GPL (>= 2)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5.0), EloRating
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.1.1), aniDom
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: rmarkdown, bookdown, xtable, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/gobbios/EloSteepness
BugReports: https://github.com/gobbios/EloSteepness/issues
NeedsCompilation: yes
Packaged: 2022-08-16 12:40:59 UTC; christofneumann
Author: Christof Neumann [aut, cre]
Repository: CRAN
Date/Publication: 2022-08-18 07:40:13 UTC

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New package dirttee with initial version 1.0
Package: dirttee
Title: Distributional Regression for Time to Event Data
Version: 1.0
Date: 2022-08-15
Author: Alexander Seipp [cre], Fabian Otto-Sobotka [aut]
Maintainer: Alexander Seipp <alexander.seipp@uni-oldenburg.de>
Depends: R (>= 3.6.0), expectreg(>= 0.5.0)
Imports: mgcv, splines, formula.tools, nloptr, survival, Matrix, MASS, provenance, rlang
Description: Semiparametric distributional regression methods (expectile, quantile and mode regression) for time-to-event variables with right-censoring; uses inverse probability of censoring weights or accelerated failure time models with auxiliary likelihoods. Expectile regression using inverse probability of censoring weights has been introduced in Seipp et al. (2021) "Weighted Expectile Regression for Right-Censored Data" <doi:10.1002/sim.9137>, mode regression for time-to-event variables has been introduced in Seipp et al. (2022) "Flexible Semiparametric Mode Regression for Time-to-Event Data" (accepted manuscript).
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-08-16 11:34:49 UTC; negu8347
Repository: CRAN
Date/Publication: 2022-08-18 07:10:02 UTC

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Package covid19.analytics updated to version 2.1.3 with previous version 2.1.2 dated 2022-04-06

Title: Load and Analyze Live Data from the COVID-19 Pandemic
Description: Load and analyze updated time series worldwide data of reported cases for the Novel Coronavirus Disease (COVID-19) from different sources, including the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) data repository <https://github.com/CSSEGISandData/COVID-19>, "Our World in Data" <https://github.com/owid/> among several others. The datasets reporting the COVID-19 cases are available in two main modalities, as a time series sequences and aggregated data for the last day with greater spatial resolution. Several analysis, visualization and modelling functions are available in the package that will allow the user to compute and visualize total number of cases, total number of changes and growth rate globally or for an specific geographical location, while at the same time generating models using these trends; generate interactive visualizations and generate Susceptible-Infected-Recovered (SIR) model for the disease spread.
Author: Marcelo Ponce [aut, cre], Amit Sandhel [ctb]
Maintainer: Marcelo Ponce <m.ponce@utoronto.ca>

Diff between covid19.analytics versions 2.1.2 dated 2022-04-06 and 2.1.3 dated 2022-08-18

 DESCRIPTION                         |    8 ++++----
 MD5                                 |   14 +++++++-------
 NEWS                                |    3 +++
 R/covid19_anal.R                    |    2 ++
 README.md                           |    4 ++--
 inst/doc/covid19.analytics.html     |   18 +++++++++---------
 man/c19.refGenome.data.Rd           |    3 ++-
 vignettes/man/c19.refGenome.data.Rd |    3 ++-
 8 files changed, 31 insertions(+), 24 deletions(-)

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New package CohensdpLibrary with initial version 0.5.5
Package: CohensdpLibrary
Title: Cohen's D_p Computation with Confidence Intervals
Description: Computing Cohen's d_p in any experimental designs (between-subject, within-subject, and single-group design). Cousineau (2022) <https://github.com/dcousin3/CohensdpLibrary>; Cohen (1969, ISBN: 0-8058-0283-5).
Version: 0.5.5
Date: 2022-07-19
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Imports: Rdpack
Depends: R (>= 3.5.0)
Suggests: testthat,
Packaged: 2022-08-16 12:15:05 UTC; DenisCousineau
Author: Denis Cousineau [aut, cre]
Maintainer: Denis Cousineau <denis.cousineau@uottawa.ca>
Repository: CRAN
Date/Publication: 2022-08-18 07:10:05 UTC

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New package ccml with initial version 1.0.0
Package: ccml
Title: Consensus Clustering for Different Sample Coverage Data
Version: 1.0.0
Description: Consensus clustering, also called meta-clustering or cluster ensembles, has been increasingly used in clinical data. Current consensus clustering methods tend to ensemble a number of different clusters from mathematical replicates with similar sample coverage. As the fact of common variety of sample coverage in the real-world data, a new consensus clustering strategy dealing with such biological replicates is required. This is a two-step consensus clustering package, which is used to input multiple predictive labels with different sample coverage (missing labels).
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ggplot2, diceR, parallel, tidyr, SNFtool, plyr, ConsensusClusterPlus (>= 1.56.0)
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2022-08-16 09:55:14 UTC; Lenovo
Author: Chuanxing Li [aut, cre], Meng Zhou [aut]
Maintainer: Chuanxing Li <chuan-xing.li@ki.se>
Repository: CRAN
Date/Publication: 2022-08-18 08:00:02 UTC

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Package bdc updated to version 1.1.2 with previous version 1.1.1 dated 2022-05-27

Title: Biodiversity Data Cleaning
Description: It brings together several aspects of biodiversity data-cleaning in one place. 'bdc' is organized in thematic modules related to different biodiversity dimensions, including 1) Merge datasets: standardization and integration of different datasets; 2) Pre-filter: flagging and removal of invalid or non-interpretable information, followed by data amendments; 3) Taxonomy: cleaning, parsing, and harmonization of scientific names from several taxonomic groups against taxonomic databases locally stored through the application of exact and partial matching algorithms; 4) Space: flagging of erroneous, suspect, and low-precision geographic coordinates; and 5) Time: flagging and, whenever possible, correction of inconsistent collection date. In addition, it contains features to visualize, document, and report data quality – which is essential for making data quality assessment transparent and reproducible. The reference for the methodology is Bruno et al. (2022) <doi:10.1111/2041-210X.13868> [...truncated...]
Author: Bruno Ribeiro [aut, cre] , Santiago Velazco [aut] , Karlo Guidoni-Martins [aut] , Geiziane Tessarolo [aut] , Lucas Jardim [aut] , Steven Bachman [ctb] , Rafael Loyola [ctb]
Maintainer: Bruno Ribeiro <ribeiro.brr@gmail.com>

Diff between bdc versions 1.1.1 dated 2022-05-27 and 1.1.2 dated 2022-08-18

 DESCRIPTION                                     |    6 
 MD5                                             |   29 
 NEWS.md                                         |   17 
 R/bdc_clean_names.R                             |   16 
 R/bdc_coordinates_empty.R                       |   18 
 R/bdc_query_names_taxadb.R                      |   14 
 R/utils.R                                       |    8 
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 tests/testthat/test-bdc_coordinates_empty.R     |   44 
 16 files changed, 26041 insertions(+), 1252 deletions(-)

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New package BayesianMediationA with initial version 1.0
Package: BayesianMediationA
Title: Bayesian Mediation Analysis
Version: 1.0
Date: 2022-08-03
Author: Qingzhao Yu [aut, cre, cph], Bin Li [aut]
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>
Depends: R (>= 2.14.1), survival, R2jags, car, gplots,lattice
Imports: splines, methods
Description: We perform general mediation analysis in the Bayesian setting using the methods described in Yu and Li (2022, ISBN:9780367365479). With the package, the mediation analysis can be performed on different types of outcomes (e.g., continuous, binary, categorical, or time-to-event), with default or user-defined priors and predictive models. The Bayesian estimates and credible sets of mediation effects are reported as analytic results.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-08-16 13:44:48 UTC; qyu
Repository: CRAN
Date/Publication: 2022-08-18 07:20:06 UTC

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