Thu, 23 Mar 2023

Package see updated to version 0.7.5 with previous version 0.7.4 dated 2022-11-25

Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
Description: Provides plotting utilities supporting packages in the 'easystats' ecosystem (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://materialui.co/colors>. References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.
Author: Daniel Luedecke [aut, ctb] , Dominique Makowski [aut, inv] , Indrajeet Patil [aut, cre] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Philip Waggoner [aut, ctb] , Jeffrey R. Stevens [ctb] , Matthew Smith [rev] , Jakob Bossek [re [...truncated...]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between see versions 0.7.4 dated 2022-11-25 and 0.7.5 dated 2023-03-23

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New package PCObw with initial version 0.0.1
Package: PCObw
Title: Bandwidth Selector with Penalized Comparison to Overfitting Criterion
Version: 0.0.1
Date: 2023-03-16
Author: S. Varet
Maintainer: S. Varet <suzanne.varet@universite-paris-saclay.fr>
Description: Bandwidth selector according to the Penalised Comparison to Overfitting (P.C.O.) criterion as described in Varet, S., Lacour, C., Massart, P., Rivoirard, V., (2019) <https://hal.archives-ouvertes.fr/hal-02002275>. It can be used with univariate and multivariate data.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.17), stats(>= 3.5.2)
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, mvtnorm
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-03-21 13:53:23 UTC; suzanne.varet
Repository: CRAN
Date/Publication: 2023-03-23 22:32:13 UTC

More information about PCObw at CRAN
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Package netCoin updated to version 2.0.48 with previous version 2.0.20 dated 2021-10-28

Title: Interactive Analytic Networks
Description: Create interactive analytic networks. It joins the data analysis power of R to obtain coincidences, co-occurrences and correlations, and the visualization libraries of 'JavaScript' in one package.
Author: Modesto Escobar [cre, aut, cph] , David Barrios [aut], Carlos Prieto [aut] , Luis Martinez-Uribe [aut] , Pablo Cabrera-Álvarez [aut] , Cristina Calvo-Lopez [aut]
Maintainer: Modesto Escobar <modesto@usal.es>

Diff between netCoin versions 2.0.20 dated 2021-10-28 and 2.0.48 dated 2023-03-23

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More information about netCoin at CRAN
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Package metR updated to version 0.14.0 with previous version 0.13.0 dated 2022-10-06

Title: Tools for Easier Analysis of Meteorological Fields
Description: Many useful functions and extensions for dealing with meteorological data in the tidy data framework. Extends 'ggplot2' for better plotting of scalar and vector fields and provides commonly used analysis methods in the atmospheric sciences.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <elio.campitelli@cima.fcen.uba.ar>

Diff between metR versions 0.13.0 dated 2022-10-06 and 0.14.0 dated 2023-03-23

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Package IDSL.SUFA updated to version 1.3 with previous version 1.2 dated 2023-01-06

Title: Simplified UFA
Description: A simplified version of the 'IDSL.UFA' package to calculate isotopic profiles and adduct formulas from molecular formulas with no dependency on other R packages for online tools and educational mass spectrometry courses. The 'IDSL.SUFA' package also provides an ancillary module to process user-defined adduct formulas.
Author: Sadjad Fakouri-Baygi [aut] , Dinesh Barupal [cre, aut]
Maintainer: Dinesh Barupal <dinesh.barupal@mssm.edu>

Diff between IDSL.SUFA versions 1.2 dated 2023-01-06 and 1.3 dated 2023-03-23

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More information about IDSL.SUFA at CRAN
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Package googlesheets4 updated to version 1.1.0 with previous version 1.0.1 dated 2022-08-13

Title: Access Google Sheets using the Sheets API V4
Description: Interact with Google Sheets through the Sheets API v4 <https://developers.google.com/sheets/api>. "API" is an acronym for "application programming interface"; the Sheets API allows users to interact with Google Sheets programmatically, instead of via a web browser. The "v4" refers to the fact that the Sheets API is currently at version 4. This package can read and write both the metadata and the cell data in a Sheet.
Author: Jennifer Bryan [cre, aut] , Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

Diff between googlesheets4 versions 1.0.1 dated 2022-08-13 and 1.1.0 dated 2023-03-23

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More information about googlesheets4 at CRAN
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Package crew updated to version 0.0.5 with previous version 0.0.4 dated 2023-03-21

Title: A Distributed Worker Launcher
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services The 'NNG'-powered 'mirai' R package by Gao (2023) <https://CRAN.R-project.org/package=mirai> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between crew versions 0.0.4 dated 2023-03-21 and 0.0.5 dated 2023-03-23

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Package arules updated to version 1.7-6 with previous version 1.7-5 dated 2022-10-21

Title: Mining Association Rules and Frequent Itemsets
Description: Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides C implementations of the association mining algorithms Apriori and Eclat. Hahsler, Gruen and Hornik (2005) <doi:10.18637/jss.v014.i15>.
Author: Michael Hahsler [aut, cre, cph] , Christian Buchta [aut, cph], Bettina Gruen [aut, cph], Kurt Hornik [aut, cph] , Christian Borgelt [ctb, cph], Ian Johnson [ctb], Makhlouf Ledmi [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between arules versions 1.7-5 dated 2022-10-21 and 1.7-6 dated 2023-03-23

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New package Vicus with initial version 0.99.0
Package: Vicus
Title: Exploiting Local Structures to Improve Network-Based Analysis of Biological Data
Version: 0.99.0
Depends: R (>= 3.4.0)
Imports: methods, utils, RANN, Matrix, RSpectra
Suggests: scatterplot3d, knitr, rmarkdown, testthat
Description: Compared with the similar graph embedding method such as Laplacian Eigenmaps, 'Vicus' can exploit more local structures of graph data. For the details of the methods, see the reference section of 'GitHub' README.md <https://github.com/rikenbit/Vicus>.
License: MIT + file LICENSE
URL: https://github.com/rikenbit/Vicus
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-23 10:25:26 UTC; koki
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Repository: CRAN
Date/Publication: 2023-03-23 19:32:04 UTC

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New package sparseDFM with initial version 1.0
Package: sparseDFM
Title: Estimate Dynamic Factor Models with Sparse Loadings
Version: 1.0
Description: Implementation of various estimation methods for dynamic factor models (DFMs) including principal components analysis (PCA) Stock and Watson (2002) <doi:10.1198/016214502388618960>, 2Stage Giannone et al. (2008) <doi:10.1016/j.jmoneco.2008.05.010>, expectation-maximisation (EM) Banbura and Modugno (2014) <doi:10.1002/jae.2306>, and the novel EM-sparse approach for sparse DFMs Mosley et al. (2023) <arXiv:2303.11892>. Options to use classic multivariate Kalman filter and smoother (KFS) equations from Shumway and Stoffer (1982) <doi:10.1111/j.1467-9892.1982.tb00349.x> or fast univariate KFS equations from Koopman and Durbin (2000) <doi:10.1111/1467-9892.00186>, and options for independent and identically distributed (IID) white noise or auto-regressive (AR(1)) idiosyncratic errors. Algorithms coded in 'C++' and linked to R via 'RcppArmadillo'.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.9), Matrix, ggplot2
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, gridExtra
VignetteBuilder: knitr
Depends: R (>= 3.3.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2023-03-23 10:36:30 UTC; mosleyl
Author: Luke Mosley [aut], Tak-Shing Chan [aut], Alex Gibberd [aut, cre]
Maintainer: Alex Gibberd <a.gibberd@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2023-03-23 19:40:02 UTC

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New package c2z with initial version 0.1.4
Package: c2z
Title: A Reference Manager
Version: 0.1.4
Maintainer: Oystein Olav Skaar <oeysan@gmail.com>
Description: 'Cristin' to 'Zotero' ('c2z') aims at obtaining total dominion over 'Cristin' ('Current Research Information SysTem in Norway') and 'Zotero'. The package enables manipulating 'Zotero' libraries using 'R'. Import references from 'Cristin', 'Regjeringen', 'CRAN', 'ISBN' ('Alma', 'LoC'), and 'DOI' ('CrossRef', 'DataCite') to a 'Zotero' library. Add, edit, copy, or delete items, including attachments and collections, and export references to 'BibLaTeX' (and other formats).
License: MIT + file LICENSE
URL: https://github.com/oeysan/c2z/, https://oeysan.github.io/c2z/
BugReports: https://github.com/oeysan/c2z/issues/
Depends: R (>= 4.1)
Imports: dplyr, httr, jsonlite, purrr, rlang, rvest, stats, tibble, tidyr, tidyselect, utils
Suggests: covr, knitr, readr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-23 11:32:40 UTC; oeysan
Author: Oystein Olav Skaar [aut, cre, cph]
Repository: CRAN
Date/Publication: 2023-03-23 19:42:07 UTC

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Package ursa updated to version 3.9.10 with previous version 3.9.9 dated 2022-12-17

Title: Non-Interactive Spatial Tools for Raster Processing and Visualization
Description: S3 classes and methods for manipulation with georeferenced raster data: reading/writing, processing, multi-panel visualization. SWU.
Author: Nikita Platonov [aut, cre]
Maintainer: Nikita Platonov <platonov@sevin.ru>

Diff between ursa versions 3.9.9 dated 2022-12-17 and 3.9.10 dated 2023-03-23

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Package splitTools updated to version 0.3.3 with previous version 0.3.2 dated 2022-01-28

Title: Tools for Data Splitting
Description: Fast, lightweight toolkit for data splitting. Data sets can be partitioned into disjoint groups (e.g. into training, validation, and test) or into (repeated) k-folds for subsequent cross-validation. Besides basic splits, the package supports stratified, grouped as well as blocked splitting. Furthermore, cross-validation folds for time series data can be created. See e.g. Hastie et al. (2001) <doi:10.1007/978-0-387-84858-7> for the basic background on data partitioning and cross-validation.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between splitTools versions 0.3.2 dated 2022-01-28 and 0.3.3 dated 2023-03-23

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More information about splitTools at CRAN
Permanent link

Package sageR updated to version 0.6.1 with previous version 0.6.0 dated 2022-09-21

Title: Applied Statistics for Economics and Management with R
Description: Datasets and functions for the book "Statistiques pour l’économie et la gestion", "Théorie et applications en entreprise", F. Bertrand, Ch. Derquenne, G. Dufrénot, F. Jawadi and M. Maumy, C. Borsenberger editor, (2021, ISBN:9782807319448, De Boeck Supérieur, Louvain-la-Neuve). The first chapter of the book is dedicated to an introduction to statistics and their world. The second chapter deals with univariate exploratory statistics and graphics. The third chapter deals with bivariate and multivariate exploratory statistics and graphics. The fourth chapter is dedicated to data exploration with Principal Component Analysis. The fifth chapter is dedicated to data exploration with Correspondance Analysis. The sixth chapter is dedicated to data exploration with Multiple Correspondance Analysis. The seventh chapter is dedicated to data exploration with automatic clustering. The eighth chapter is dedicated to an introduction to probability theory and classical probability distributions. The ni [...truncated...]
Author: Frederic Bertrand [cre, aut] , Claire Borsenberger [ctb], Christian Derquenne [ctb], Gilles Dufrenot [ctb], Fredj Jawadi [ctb], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

Diff between sageR versions 0.6.0 dated 2022-09-21 and 0.6.1 dated 2023-03-23

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Package port4me updated to version 0.5.1 with previous version 0.5.0 dated 2022-10-29

Title: Get the Same, Personal, Free 'TCP' Port over and over
Description: An implementation of the cross-platform, language-independent "port4me" algorithm (<https://github.com/HenrikBengtsson/port4me>), which (1) finds a free Transmission Control Protocol ('TCP') port in [1024,65535] that the user can open, (2) is designed to work in multi-user environments, (3), gives different users, different ports, (4) gives the user the same port over time with high probability, (5) gives different ports for different software tools, and (6) requires no configuration.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between port4me versions 0.5.0 dated 2022-10-29 and 0.5.1 dated 2023-03-23

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More information about port4me at CRAN
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Package mlr3pipelines updated to version 0.4.3 with previous version 0.4.2 dated 2022-09-20

Title: Preprocessing Operators and Pipelines for 'mlr3'
Description: Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.
Author: Martin Binder [aut, cre], Florian Pfisterer [aut] , Lennart Schneider [aut] , Bernd Bischl [aut] , Michel Lang [aut] , Susanne Dandl [aut]
Maintainer: Martin Binder <mlr.developer@mb706.com>

Diff between mlr3pipelines versions 0.4.2 dated 2022-09-20 and 0.4.3 dated 2023-03-23

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Package wrProteo updated to version 1.8.0 with previous version 1.7.1 dated 2023-01-27

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Initial results from multiple software for protein (and peptide) quantitation can be imported (to a common format): MaxQuant (Tyanova et al 2016 <doi:10.1038/nprot.2016.136>), Fragpipe(da Veiga et al 2020, <doi:10.1038/s41592-020-0912-y>), MassChroq (Valot et al 2011] <doi:10.1002/pmic.201100120>), OpenMS (<doi:10.1038/nmeth.3959>), ProteomeDiscoverer and Proline (Bouyssie et al 2020 <doi:10.1093/bioinformatics/btaa118>). Meta-data provided by initial analysis software and/or in sdrf format can be integrated to the analysis. Quantitative proteomics measurements frequentl [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrProteo versions 1.7.1 dated 2023-01-27 and 1.8.0 dated 2023-03-23

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Permanent link

Package piecepackr updated to version 1.13.1 with previous version 1.12.2 dated 2022-11-07

Title: Board Game Graphics
Description: Functions to make board game graphics with the 'ggplot2', 'grid', 'rayrender', 'rayvertex', and 'rgl' packages. Specializes in game diagrams, animations, and "Print & Play" layouts for the 'piecepack' <https://www.ludism.org/ppwiki> but can make graphics for other board game systems. Includes configurations for several public domain game systems such as checkers, (double-18) dominoes, go, 'piecepack', playing cards, etc.
Author: Trevor L Davis [aut, cre] , Linux Foundation [dtc] , Delapouite <https://delapouite.com/> [ill] , Creative Commons [ill] ` uses "license badges" from Creative Commons to describe the generated print-and-play file's license)
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between piecepackr versions 1.12.2 dated 2022-11-07 and 1.13.1 dated 2023-03-23

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More information about piecepackr at CRAN
Permanent link

Package finnts updated to version 0.2.3 with previous version 0.2.2 dated 2023-02-11

Title: Microsoft Finance Time Series Forecasting Framework
Description: Automated time series forecasting developed by Microsoft Finance. The Microsoft Finance Time Series Forecasting Framework, aka Finn, can be used to forecast any component of the income statement, balance sheet, or any other area of interest by finance. Any numerical quantity over time, Finn can be used to forecast it. While it can be applied outside of the finance domain, Finn want built to meet the needs of financial analysts to better forecast their businesses within a company, and has a lot of built in features that are specific to the needs of financial forecasters. Happy forecasting!
Author: Mike Tokic [aut, cre] , Aadharsh Kannan [aut]
Maintainer: Mike Tokic <mftokic@gmail.com>

Diff between finnts versions 0.2.2 dated 2023-02-11 and 0.2.3 dated 2023-03-23

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More information about finnts at CRAN
Permanent link

Package ClimProjDiags updated to version 0.3.1 with previous version 0.3.0 dated 2023-02-28

Title: Set of Tools to Compute Various Climate Indices
Description: Set of tools to compute metrics and indices for climate analysis. The package provides functions to compute extreme indices, evaluate the agreement between models and combine theses models into an ensemble. Multi-model time series of climate indices can be computed either after averaging the 2-D fields from different models provided they share a common grid or by combining time series computed on the model native grid. Indices can be assigned weights and/or combined to construct new indices.
Author: BSC-CNS [aut, cph], Nuria Perez-Zanon [aut] , An-Chi Ho [cre, ctb], Nicolau Manubens [ctb], Alasdair Hunter [aut], Louis-Philippe Caron [ctb], Eva Rifa [ctb]
Maintainer: An-Chi Ho <an.ho@bsc.es>

Diff between ClimProjDiags versions 0.3.0 dated 2023-02-28 and 0.3.1 dated 2023-03-23

 DESCRIPTION   |    6 +++---
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More information about ClimProjDiags at CRAN
Permanent link

Package composits (with last version 0.1.1) was removed from CRAN

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

2022-05-24 0.1.1
2020-09-30 0.1.0

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Package anomalize (with last version 0.2.3) was removed from CRAN

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

2023-02-09 0.2.3
2020-10-20 0.2.2
2020-06-19 0.2.1

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Package modeltime.gluonts (with last version 0.1.0) was removed from CRAN

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

2020-11-30 0.1.0

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Package cleanTS (with last version 0.1.1) was removed from CRAN

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

2022-06-15 0.1.1
2021-08-26 0.1.0

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Package sweep (with last version 0.2.3) was removed from CRAN

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

2020-07-10 0.2.3
2019-10-08 0.2.2
2018-08-19 0.2.1.1
2018-03-03 0.2.1
2017-07-25 0.2.0
2017-07-03 0.1.0

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Package penalizedSVM updated to version 1.1.4 with previous version 1.1.3 dated 2022-05-11

Title: Feature Selection SVM using Penalty Functions
Description: Support Vector Machine (SVM) classification with simultaneous feature selection using penalty functions is implemented. The smoothly clipped absolute deviation (SCAD), 'L1-norm', 'Elastic Net' ('L1-norm' and 'L2-norm') and 'Elastic SCAD' (SCAD and 'L2-norm') penalties are available. The tuning parameters can be found using either a fixed grid or a interval search.
Author: Natalia Becker, Wiebke Werft, Axel Benner
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

Diff between penalizedSVM versions 1.1.3 dated 2022-05-11 and 1.1.4 dated 2023-03-23

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Package fairadapt updated to version 0.2.5 with previous version 0.2.4 dated 2022-07-01

Title: Fair Data Adaptation with Quantile Preservation
Description: An implementation of the fair data adaptation with quantile preservation described in Plecko & Meinshausen (2019) <arXiv:1911.06685>. The adaptation procedure uses the specified causal graph to pre-process the given training and testing data in such a way to remove the bias caused by the protected attribute. The procedure uses tree ensembles for quantile regression.
Author: Drago Plecko [aut, cre], Nicolas Bennett [aut]
Maintainer: Drago Plecko <drago.plecko@stat.math.ethz.ch>

Diff between fairadapt versions 0.2.4 dated 2022-07-01 and 0.2.5 dated 2023-03-23

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Package EventStudy updated to version 0.39.1 with previous version 0.39 dated 2022-09-20

Title: Event Study Analysis
Description: Perform Event Studies from through our <https://EventStudyTools.com> Application Programming Interface, parse the results, visualize it, and / or use the results in further analysis.
Author: Dr. Simon Mueller
Maintainer: Dr. Simon Mueller <sm@data-zoo.de>

Diff between EventStudy versions 0.39 dated 2022-09-20 and 0.39.1 dated 2023-03-23

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Package dataverse updated to version 0.3.13 with previous version 0.3.12 dated 2023-01-15

Title: Client for Dataverse 4+ Repositories
Description: Provides access to Dataverse APIs <https://dataverse.org/> (versions 4-5), enabling data search, retrieval, and deposit. For Dataverse versions <= 3.0, use the archived 'dvn' package <https://cran.r-project.org/package=dvn>.
Author: Shiro Kuriwaki [aut, cre] , Will Beasley [aut] , Thomas J. Leeper [aut] , Philip Durbin [aut] , Sebastian Karcher [aut] , Jan Kanis [ctb], Edward Jee [ctb]
Maintainer: Shiro Kuriwaki <shirokuriwaki@gmail.com>

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Package c060 updated to version 0.3-0 with previous version 0.2-9 dated 2022-03-03

Title: Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models
Description: The c060 package provides additional functions to perform stability selection, model validation and parameter tuning for glmnet models.
Author: Martin Sill, Thomas Hielscher, Manuela Zucknick, Natalia Becker.
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

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Package stortingscrape updated to version 0.1.3 with previous version 0.1.2 dated 2022-08-26

Title: Access Data from the Norwegian Parliament API
Description: Functions for retrieving general and specific data from the Norwegian Parliament, through the Norwegian Parliament API at <https://data.stortinget.no>.
Author: Martin Soeyland [aut, cre]
Maintainer: Martin Soeyland <martin.soyland@stv.uio.no>

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Package icosa updated to version 0.11.0 with previous version 0.10.1 dated 2021-01-12

Title: Global Triangular and Penta-Hexagonal Grids Based on Tessellated Icosahedra
Description: Implementation of icosahedral grids in three dimensions. The spherical-triangular tessellation can be set to create grids with custom resolutions. Both the primary triangular and their inverted penta-hexagonal grids can be calculated. Additional functions are provided that allow plotting of the grids and associated data, the interaction of the grids with other raster and vector objects, and treating the grids as a graphs.
Author: Adam T. Kocsis [cre, aut] , Deutsche Forschungsgemeinschaft [fnd], FAU GeoZentrum Nordbayern [fnd]
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>

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Package lares updated to version 5.2.1 with previous version 5.2.0 dated 2023-02-03

Title: Analytics & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or extensive R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

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Package sivs updated to version 0.2.9 with previous version 0.2.7 dated 2023-02-06

Title: Stable Iterative Variable Selection
Description: An iterative feature selection method (manuscript submitted) that internally utilizes various Machine Learning methods that have embedded feature reduction in order to shrink down the feature space into a small and yet robust set.
Author: Mehrad Mahmoudian [aut, cre] , Mikko Venaelaeinen [aut, rev] , Riku Klen [aut, ths] , Laura Elo [aut, ths, fnd]
Maintainer: Mehrad Mahmoudian <mehrad.mahmoudian@utu.fi>

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Package seededlda updated to version 0.8.4 with previous version 0.8.3 dated 2023-03-17

Title: Seeded-LDA for Topic Modeling
Description: Implements the seeded-LDA model (Lu, Ott, Cardie & Tsou 2010) <doi:10.1109/ICDMW.2011.125> using the quanteda package and the GibbsLDA++ library for semisupervised topic modeling. Seeded-LDA allows users to pre-define topics with keywords to perform theory-driven analysis of textual data in social sciences and humanities (Watanabe & Zhou 2020) <doi:10.1177/0894439320907027>.
Author: Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package genekitr updated to version 1.1.5 with previous version 1.1.3 dated 2023-03-01

Title: Gene Analysis Toolkit
Description: An analysis toolkit focused on genes. It mainly includes five features (search, convert, analysis, plot, and export). The user just needs to input feature id ('entrez', 'symbol', 'ensembl' or 'uniprot') to retrieve feature information and 'PubMed'<https://pubmed.ncbi.nlm.nih.gov/> records, to convert id types, to easily handle gene enrichment analysis and publication-level figures, to plot group interaction and export results as sheets in one 'excel' file to easily share and communicate with others.
Author: Yunze Liu [aut, cre]
Maintainer: Yunze Liu <jieandze1314@gmail.com>

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Package cli updated to version 3.6.1 with previous version 3.6.0 dated 2023-01-09

Title: Helpers for Developing Command Line Interfaces
Description: A suite of tools to build attractive command line interfaces ('CLIs'), from semantic elements: headings, lists, alerts, paragraphs, etc. Supports custom themes via a 'CSS'-like language. It also contains a number of lower level 'CLI' elements: rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. It support ANSI colors and text styles as well.
Author: Gabor Csardi [aut, cre], Hadley Wickham [ctb], Kirill Mueller [ctb], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package automap updated to version 1.1-9 with previous version 1.1-1 dated 2023-02-28

Title: Automatic Interpolation Package
Description: An automatic interpolation is done by automatically estimating the variogram and then calling gstat. An overview is given by Hiemstra et al (2008) <doi:10.1016/j.cageo.2008.10.011>.
Author: Paul Hiemstra [aut], Jon Olav Skoien [aut, cre]
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>

Diff between automap versions 1.1-1 dated 2023-02-28 and 1.1-9 dated 2023-03-23

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Package admix updated to version 2.1-0 with previous version 0.4.0 dated 2022-03-25

Title: Package Admix for Admixture (aka Contamination) Models
Description: Implements techniques to estimate the unknown quantities related to two-component admixture models, where the two components can belong to any distribution (note that in the case of multinomial mixtures, the two components must belong to the same family). Estimation methods depend on the assumptions made on the unknown component density (see Bordes and Vandekerkhove (2010) <doi:10.3103/S1066530710010023>; Patra and Sen (2016) <doi:10.1111/rssb.12148>); Milhaud, Pommeret, Salhi and Vandekerkhove (2022) <doi:10.1016/j.jspi.2021.05.010>). In practice, one can estimate both the mixture weight and the unknown component density in a wide variety of frameworks. On top of that, hypothesis tests can be performed in one and two-sample contexts to test the unknown component density (see Milhaud, Pommeret, Salhi, Vandekerkhove (2023)). Finally, clustering of unknown mixture components is also feasible in a K-samples setting.
Author: Xavier Milhaud [aut, cre], Pierre Vandekerkhove [ctb], Denys Pommeret [ctb], Yahia Salhi [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>

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Package projections updated to version 0.6.0 with previous version 0.5.4 dated 2021-04-22

Title: Project Future Case Incidence
Description: Provides functions and graphics for projecting daily incidence based on past incidence, and estimates of the serial interval and reproduction number. Projections are based on a branching process using a Poisson-distributed number of new cases per day, similar to the model used for estimating R in 'EpiEstim' or in 'earlyR', and described by Nouvellet et al. (2017) <doi:10.1016/j.epidem.2017.02.012>. The package provides the S3 class 'projections' which extends 'matrix', with accessors and additional helpers for handling, subsetting, merging, or adding these objects, as well as dedicated printing and plotting methods.
Author: Thibaut Jombart [aut, cre], Pierre Nouvellet [aut], Sangeeta Bhatia [ctb], Zhian N. Kamvar [ctb], Tim Taylor [ctb], Stephane Ghozzi [ctb]
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>

Diff between projections versions 0.5.4 dated 2021-04-22 and 0.6.0 dated 2023-03-23

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Package CUFF updated to version 1.9 with previous version 1.8 dated 2022-02-22

Title: Charles's Utility Function using Formula
Description: Utility functions that provides wrapper to descriptive base functions like cor, mean and table. It makes use of the formula interface to pass variables to functions. It also provides operators to concatenate (%+%), to repeat (%n%) and manage character vectors for nice display.
Author: Charles-Édouard Giguere
Maintainer: Charles-Édouard Giguere <ce.giguere@gmail.com>

Diff between CUFF versions 1.8 dated 2022-02-22 and 1.9 dated 2023-03-23

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Package counterfactuals updated to version 0.1.2 with previous version 0.1.1 dated 2023-02-13

Title: Counterfactual Explanations
Description: Modular and unified R6-based interface for counterfactual explanation methods. The following methods are currently implemented: Burghmans et al. (2022) <arXiv:2104.07411>, Dandl et al. (2020) <doi:10.1007/978-3-030-58112-1_31> and Wexler et al. (2019) <doi:10.1109/TVCG.2019.2934619>. Optional extensions allow these methods to be applied to a variety of models and use cases. Once generated, the counterfactuals can be analyzed and visualized by provided functionalities.
Author: Susanne Dandl [aut, cre] , Andreas Hofheinz [aut], Martin Binder [ctb], Giuseppe Casalicchio [ctb]
Maintainer: Susanne Dandl <dandls.datascience@gmail.com>

Diff between counterfactuals versions 0.1.1 dated 2023-02-13 and 0.1.2 dated 2023-03-23

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Package ConsRank updated to version 2.1.3 with previous version 2.1.2 dated 2021-09-28

Title: Compute the Median Ranking(s) According to the Kemeny's Axiomatic Approach
Description: Compute the median ranking according to the Kemeny's axiomatic approach. Rankings can or cannot contain ties, rankings can be both complete or incomplete. The package contains both branch-and-bound algorithms and heuristic solutions recently proposed. The searching space of the solution can either be restricted to the universe of the permutations or unrestricted to all possible ties. The package also provide some useful utilities for deal with preference rankings, including both element-weight Kemeny distance and correlation coefficient. This release declare as deprecated some functions that are still in the package for compatibility. Next release will not contains these functions. Please type '?ConsRank-deprecated' Essential references: Emond, E.J., and Mason, D.W. (2002) <doi:10.1002/mcda.313>; D'Ambrosio, A., Amodio, S., and Iorio, C. (2015) <doi:10.1285/i20705948v8n2p198>; Amodio, S., D'Ambrosio, A., and Siciliano R. (2016) <doi:10.1016/j.ejor.2015.08.048>; D'Ambr [...truncated...]
Author: Antonio D'Ambrosio [aut, cre], Sonia Amodio [ctb], Giulio Mazzeo [ctb], Alessandro Albano [ctb], Antonella Plaia [ctb]
Maintainer: Antonio D'Ambrosio <antdambr@unina.it>

Diff between ConsRank versions 2.1.2 dated 2021-09-28 and 2.1.3 dated 2023-03-23

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Package spocc updated to version 1.2.2 with previous version 1.2.1 dated 2023-03-08

Title: Interface to Species Occurrence Data Sources
Description: A programmatic interface to many species occurrence data sources, including Global Biodiversity Information Facility ('GBIF'), 'iNaturalist', 'eBird', Integrated Digitized 'Biocollections' ('iDigBio'), 'VertNet', Ocean 'Biogeographic' Information System ('OBIS'), and Atlas of Living Australia ('ALA'). Includes functionality for retrieving species occurrence data, and combining those data.
Author: Hannah Owens [aut, cre] , Vijay Barve [aut] , Scott Chamberlain [aut] , Karthik Ram [ctb], Ted Hart [ctb], rOpenSci [fnd]
Maintainer: Hannah Owens <hannah.owens@gmail.com>

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Package rgbif updated to version 3.7.6 with previous version 3.7.5 dated 2023-01-05

Title: Interface to the Global Biodiversity Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/developer/summary>). GBIF is a database of species occurrence records from sources all over the globe. rgbif includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the GBIF tile map service to make rasters summarizing huge amounts of data.
Author: Scott Chamberlain [aut] , Damiano Oldoni [aut] , Vijay Barve [ctb] , Peter Desmet [ctb] , Laurens Geffert [ctb], Dan Mcglinn [ctb] , Karthik Ram [ctb] , rOpenSci [fnd] , John Waller [aut, cre]
Maintainer: John Waller <jwaller@gbif.org>

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Permanent link

New package repsd with initial version 1.0.0
Package: repsd
Title: Root Expected Proportion Squared Difference for Detecting DIF
Version: 1.0.0
Description: Root Expected Proportion Squared Difference (REPSD) is a nonparametric differential item functioning (DIF) method that (a) allows practitioners to explore for DIF related to small, fine-grained focal groups of examinees, and (b) compares the focal group directly to the composite group that will be used to develop the reported test score scale. Using your provided response matrix with a column that identifies focal group membership, this package provides the REPSD values, a simulated null distribution of possible REPSD values, and the simulated p-values identifying items possibly displaying DIF without requiring enormous sample sizes.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0), progress
Suggests: colorDF, testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-22 16:38:48 UTC; anthony_raborn
Author: Anne Corrine Huggins-Manley [aut], Anthony William Raborn [aut, cre]
Maintainer: Anthony William Raborn <anthony.w.raborn@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-23 10:30:02 UTC

More information about repsd at CRAN
Permanent link

Package RawHummus updated to version 0.3.0 with previous version 0.2.3 dated 2022-11-29

Title: Raw Data Quality Control Tool for LC-MS System
Description: Assess LC–MS system performance by visualizing instrument log files and monitoring raw quality control samples within a project.
Author: Yonghui Dong [cre, aut]
Maintainer: Yonghui Dong <yonghui.dong@gmail.com>

Diff between RawHummus versions 0.2.3 dated 2022-11-29 and 0.3.0 dated 2023-03-23

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Permanent link

Package mi4p updated to version 1.1 with previous version 1.0 dated 2022-06-13

Title: Multiple Imputation for Proteomics
Description: A framework for multiple imputation for proteomics is proposed by Marie Chion, Christine Carapito and Frederic Bertrand (2021) <arxiv:2108.07086>. It is dedicated to dealing with multiple imputation for proteomics.
Author: Marie Chion [aut] , Christine Carapito [aut] , Frederic Bertrand [cre, aut] , Gordon Smyth [ctb], Davis McCarthy [ctb], Helene Borges [ctb], Thomas Burger [ctb], Quentin Giai-Gianetto [ctb], Samuel Wieczorek [ctb]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

Diff between mi4p versions 1.0 dated 2022-06-13 and 1.1 dated 2023-03-23

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Permanent link

Package landscapemetrics updated to version 1.5.6 with previous version 1.5.5 dated 2022-10-31

Title: Landscape Metrics for Categorical Map Patterns
Description: Calculates landscape metrics for categorical landscape patterns in a tidy workflow. 'landscapemetrics' reimplements the most common metrics from 'FRAGSTATS' (<https://www.umass.edu/landeco/>) and new ones from the current literature on landscape metrics. This package supports 'raster' spatial objects and takes RasterLayer, RasterStacks, RasterBricks or lists of RasterLayer from the 'raster' package as input arguments. It further provides utility functions to visualize patches, select metrics and building blocks to develop new metrics.
Author: Maximilian H.K. Hesselbarth [aut, cre] , Marco Sciaini [aut] , Jakub Nowosad [aut] , Sebastian Hanss [aut] , Laura J. Graham [ctb] , Jeffrey Hollister [ctb] , Kimberly A. With [ctb] , Florian Prive [ctb] function), Project Nayuki [ctb] , Matt Strima [...truncated...]
Maintainer: Maximilian H.K. Hesselbarth <mhk.hesselbarth@gmail.com>

Diff between landscapemetrics versions 1.5.5 dated 2022-10-31 and 1.5.6 dated 2023-03-23

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Package restriktor updated to version 0.4-500 with previous version 0.3-500 dated 2022-06-06

Title: Restricted Statistical Estimation and Inference for Linear Models
Description: Allow for easy-to-use testing or evaluating of linear equality and inequality restrictions about parameters and effects in (generalized) linear statistical models.
Author: Leonard Vanbrabant [aut, cre], Yves Rosseel [ctb], Rebecca Kuiper [aut], Aleksandra Dacko [ctb]
Maintainer: Leonard Vanbrabant <info@restriktor.org>

Diff between restriktor versions 0.3-500 dated 2022-06-06 and 0.4-500 dated 2023-03-23

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Package PRECAST updated to version 1.5 with previous version 1.4 dated 2023-02-11

Title: Embedding and Clustering with Alignment for Spatial Datasets
Description: An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2023) <doi:10.1038/s41467-023-35947-w>.
Author: Wei Liu [aut, cre], Yi Yang [aut], Jin Liu [aut]
Maintainer: Wei Liu <wei.liu@duke-nus.edu.sg>

Diff between PRECAST versions 1.4 dated 2023-02-11 and 1.5 dated 2023-03-23

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New package nrba with initial version 0.1.0
Package: nrba
Title: Methods for Conducting Nonresponse Bias Analysis (NRBA)
Version: 0.1.0
Description: Facilitates nonresponse bias analysis (NRBA) for survey data. Such data may arise from a complex sampling design with features such as stratification, clustering, or unequal probabilities of selection. Multiple types of analyses may be conducted: comparisons of response rates across subgroups; comparisons of estimates before and after weighting adjustments; comparisons of sample-based estimates to external population totals; tests of systematic differences in covariate means between respondents and full samples; tests of independence between response status and covariates; and modeling of outcomes and response status as a function of covariates. Extensive documentation and references are provided for each type of analysis. Krenzke, Van de Kerckhove, and Mohadjer (2005) <http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf> and Lohr and Riddles (2016) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR> provide an overview [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: broom, dplyr, magrittr, stats, survey (>= 4.1-1), svrep
Suggests: knitr, rmarkdown, stringr, testthat (>= 3.0.0), tibble
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-22 23:00:49 UTC; schneider_b
Author: Ben Schneider [aut, cre] , Jim Green [aut], Shelley Brock [aut] , Tom Krenzke [aut] , Michael Jones [aut] , Wendy Van de Kerckhove [aut] , David Ferraro [aut] , Laura Alvarez-Rojas [aut] , Katie Hubbell [aut] , Westat [cph]
Maintainer: Ben Schneider <BenjaminSchneider@westat.com>
Repository: CRAN
Date/Publication: 2023-03-23 09:50:02 UTC

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Package htmltools updated to version 0.5.5 with previous version 0.5.4 dated 2022-12-07

Title: Tools for HTML
Description: Tools for HTML generation and output.
Author: Joe Cheng [aut], Carson Sievert [aut, cre] , Barret Schloerke [aut] , Winston Chang [aut] , Yihui Xie [aut], Jeff Allen [aut], RStudio [cph]
Maintainer: Carson Sievert <carson@rstudio.com>

Diff between htmltools versions 0.5.4 dated 2022-12-07 and 0.5.5 dated 2023-03-23

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New package ecan with initial version 0.2.0
Package: ecan
Title: Ecological Analysis and Visualization
Version: 0.2.0
Description: Support ecological analyses such as ordination and clustering. Contains consistent and easy wrapper functions of 'stat', 'vegan', 'labdsv' and 'dave' packages, and visualisation functions of ordination and clustering.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
URL: https://github.com/matutosi/ecan https://github.com/matutosi/ecan/tree/develop (devel)
Imports: MASS, cluster, dave, dendextend, dplyr, ggplot2, jsonlite, labdsv, magrittr, purrr, rlang, stringr, tibble, tidyr, vegan
Suggests: ggdendro, knitr, rmarkdown, testthat (>= 3.0.0),
NeedsCompilation: no
Packaged: 2023-03-23 00:00:08 UTC; test
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-23 10:00:02 UTC

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New package crayons with initial version 0.0.2
Package: crayons
Title: Color Palettes from Crayon Boxes
Version: 0.0.2
Description: Provides color palettes based on crayon colors since the early 1900s. Colors are based on various crayon colors, sets, and promotional palettes, most of which can be found at <https://en.wikipedia.org/wiki/List_of_Crayola_crayon_colors>. All palettes are discrete palettes and are not necessarily color-blind friendly. Provides scales for 'ggplot2' for discrete coloring.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/christopherkenny/crayons, http://christophertkenny.com/crayons/
BugReports: https://github.com/christopherkenny/crayons/issues
Imports: ggplot2, grDevices
Suggests: cli, farver
NeedsCompilation: no
Packaged: 2023-03-22 22:47:51 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2023-03-23 09:50:10 UTC

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Package chest updated to version 0.3.7 with previous version 0.3.6 dated 2022-03-01

Title: Change-in-Estimate Approach to Assess Confounding Effects
Description: Applies the change-in-effect estimate method to assess confounding effects in medical and epidemiological research (Greenland & Pearce (2016) <doi:10.1146/annurev-publhealth-031914-122559> ). It starts with a crude model including only the outcome and exposure variables. At each of the subsequent steps, one variable which creates the largest change among the remaining variables is selected. This process is repeated until all variables have been entered into the model (Wang Z. Stata Journal 2007; 7, Number 2, pp. 183–196). Currently, the 'chest' package has functions for linear regression, logistic regression, negative binomial regression, Cox proportional hazards model and conditional logistic regression.
Author: Zhiqiang Wang [aut, cre]
Maintainer: Zhiqiang Wang <menzies.uq@gmail.com>

Diff between chest versions 0.3.6 dated 2022-03-01 and 0.3.7 dated 2023-03-23

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Package isocalcR updated to version 0.1.1 with previous version 0.1.0 dated 2022-07-15

Title: Isotope Calculations in R
Description: Perform common calculations based on published stable isotope theory, such as calculating carbon isotope discrimination and intrinsic water use efficiency from wood or leaf carbon isotope composition. See Mathias and Hudiburg (2022) in Global Change Biology <doi:10.1111/gcb.16407>.
Author: Justin Mathias
Maintainer: Justin Mathias <justin.m.mathias@gmail.com>

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Package flintyR updated to version 0.1.0 with previous version 0.0.2 dated 2021-09-28

Title: Simple and Flexible Tests of Sample Exchangeability
Description: Given a multivariate dataset and some knowledge about the dependencies between its features, it is customary to fit a statistical model to the features to infer parameters of interest. Such a procedure implicitly assumes that the sample is exchangeable. This package provides a flexible non-parametric test of this exchangeability assumption, allowing the user to specify the feature dependencies by hand as long as features can be grouped into disjoint independent sets. This package also allows users to test a dual hypothesis, which is, given that the sample is exchangeable, does a proposed grouping of the features into disjoint sets also produce statistically independent sets of features? See Aw, Spence and Song (2023) for the accompanying paper.
Author: Alan Aw [cre, aut] , Jeffrey Spence [ctb]
Maintainer: Alan Aw <alanaw1@berkeley.edu>

Diff between flintyR versions 0.0.2 dated 2021-09-28 and 0.1.0 dated 2023-03-23

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Package bayesTFR updated to version 7.3-2 with previous version 7.3-0 dated 2023-02-03

Title: Bayesian Fertility Projection
Description: Making probabilistic projections of total fertility rate for all countries of the world, using a Bayesian hierarchical model <doi:10.1007/s13524-011-0040-5> <doi:10.18637/jss.v106.i08>. Subnational probabilistic projections are also supported <doi:10.4054/DemRes.2018.38.60>.
Author: Hana Sevcikova , Leontine Alkema , Peiran Liu , Adrian Raftery , Bailey Fosdick , Patrick Gerland
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package ausplotsR updated to version 1.2.8 with previous version 1.2.7 dated 2021-11-23

Title: TERN AusPlots Analysis Package
Description: Extraction, preparation, visualisation and analysis of TERN AusPlots ecosystem monitoring data. Direct access to plot-based data on vegetation and soils across Australia, including physical sample barcode numbers. Simple function calls extract the data and merge them into species occurrence matrices for downstream analysis, or calculate things like basal area and fractional cover. TERN AusPlots is a national field plot-based ecosystem surveillance monitoring method and dataset for Australia. The data have been collected across a national network of plots and transects by the Terrestrial Ecosystem Research Network (TERN - <https://www.tern.org.au>), an Australian Government NCRIS-enabled project, and its Ecosystem Surveillance platform (<https://www.tern.org.au/tern-land-observatory/ecosystem-surveillance-and-environmental-monitoring/>).
Author: Greg Guerin [aut, cre], Tom Saleeba [aut], Samantha Munroe [aut], Bernardo Blanco-Martin [aut], Irene Martin-Fores [aut], Andrew Tokmakoff [aut]
Maintainer: Greg Guerin <ggueri01@gmail.com>

Diff between ausplotsR versions 1.2.7 dated 2021-11-23 and 1.2.8 dated 2023-03-23

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Package waspasR (with last version 0.1.0) was removed from CRAN

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

2023-03-09 0.1.0

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Package tracee updated to version 0.0.3 with previous version 0.0.2 dated 2022-10-15

Title: Easily Save Output and Trace it Back to Code
Description: Write output (plots and tables) ensuring traceability back to code. Includes a graphics saver with simple automation of stamping with source, destination and creation time. A list of plots can be saved at once. A user-friendly selection of output dimensions for presentations, on-screen inspections, and more available.
Author: Philip Delff [aut, cre]
Maintainer: Philip Delff <philip@delff.dk>

Diff between tracee versions 0.0.2 dated 2022-10-15 and 0.0.3 dated 2023-03-23

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Package neatR updated to version 0.2.0 with previous version 0.1.1 dated 2023-01-30

Title: Neat Data for Presentation
Description: Utilities for unambiguous, neat and legible representation of data (date, time stamp, numbers, percentages and strings) for presentation of analysis , aiming for elegance and consistency. The purpose of this package is to format data, that is better for presentation and any automation jobs that reports numbers.
Author: Shivaprakash Suresh [aut, cre, cph]
Maintainer: Shivaprakash Suresh <dswithai@gmail.com>

Diff between neatR versions 0.1.1 dated 2023-01-30 and 0.2.0 dated 2023-03-23

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