Tue, 01 Nov 2022

Package rempsyc updated to version 0.1.0 with previous version 0.0.9 dated 2022-09-26

Title: Convenience Functions for Psychology
Description: Make your workflow faster and easier. Easily customizable plots (via 'ggplot2'), nice APA tables (following the style of the *American Psychological Association*) exportable to Word (via 'flextable'), easily run statistical tests or check assumptions, and automatize various other tasks.
Author: Remi Theriault [aut, cre]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>

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Package mlr3cluster updated to version 0.1.5 with previous version 0.1.4 dated 2022-08-14

Title: Cluster Extension for 'mlr3'
Description: Extends the 'mlr3' package with cluster analysis.
Author: Damir Pulatov [cre, aut], Michel Lang [aut]
Maintainer: Damir Pulatov <damirpolat@protonmail.com>

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Package CPC updated to version 2.3.0 with previous version 2.2.1 dated 2022-06-01

Title: Implementation of Cluster-Polarization Coefficient
Description: Implements cluster-polarization coefficient for measuring distributional polarization in single or multiple dimensions, as well as associated functions. Contains support for hierarchical clustering, k-means, partitioning around medoids, density-based spatial clustering with noise, and manually imposed cluster membership.
Author: Isaac Mehlhaff <isaac.mehlhaff@gmail.com>
Maintainer: Isaac Mehlhaff <isaac.mehlhaff@gmail.com>

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Package shar updated to version 2.0.1 with previous version 2.0.0 dated 2022-09-21

Title: Species-Habitat Associations
Description: Analyse species-habitat associations in R. Therefore, information about the location of the species (as a point pattern) is needed together with environmental conditions (as a categorical raster). To test for significance habitat associations, one of the two components is randomized. Methods are mainly based on Plotkin et al. (2000) <doi:10.1006/jtbi.2000.2158> and Harms et al. (2001) <doi:10.1111/j.1365-2745.2001.00615.x>.
Author: Maximilian H.K. Hesselbarth [aut, cre] , Marco Sciaini [aut] , Zeke Marshall [ctb] , Thomas Etherington [ctb]
Maintainer: Maximilian H.K. Hesselbarth <mhk.hesselbarth@gmail.com>

Diff between shar versions 2.0.0 dated 2022-09-21 and 2.0.1 dated 2022-11-01

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Package schoRsch updated to version 1.10 with previous version 1.9.1 dated 2020-12-15

Title: Tools for Analyzing Factorial Experiments
Description: Offers a helping hand to psychologists and other behavioral scientists who routinely deal with experimental data from factorial experiments. It includes several functions to format output from other R functions according to the style guidelines of the APA (American Psychological Association). This formatted output can be copied directly into manuscripts to facilitate data reporting. These features are backed up by a toolkit of several small helper functions, e.g., offering out-of-the-box outlier removal. The package lends its name to Georg "Schorsch" Schuessler, ingenious technician at the Department of Psychology III, University of Wuerzburg. For details on the implemented methods, see Roland Pfister and Markus Janczyk (2016) <doi: 10.20982/tqmp.12.2.p147>.
Author: Roland Pfister, Markus Janczyk
Maintainer: Roland Pfister <mail@roland-pfister.net>

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Package rxode2 updated to version 2.0.11 with previous version 2.0.10 dated 2022-10-20

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Melissa Hallow [aut], Wenping Wang [aut], Zufar Mulyukov [ctb], Alan Hindmarsh [ctb], Arun Srinivasan [ctb], Awad H. Al-Mohy [ctb], Cleve Moler [ctb], Drew Schmidt [ctb], Ernst Hairer [ctb], Gerhard Wanner [ctb], Gilber [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

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Package opGMMassessment updated to version 0.3.3 with previous version 0.3.2 dated 2022-05-27

Title: Optimized Automated Gaussian Mixture Assessment
Description: Necessary functions for optimized automated evaluation of the number and parameters of Gaussian mixtures in one-dimensional data. Various methods are available for parameter estimation and for determining the number of modes in the mixture. A detailed description of the methods ca ben found in Lotsch, J., Malkusch, S. and A. Ultsch. (2022) <doi:10.1016/j.imu.2022.101113>.
Author: Jorn Lotsch [aut,cre] , Sebastian Malkusch [aut] , Martin Maechler [ctb], Peter Rousseeuw [ctb], Anja Struyf [ctb], Mia Hubert [ctb], Kurt Hornik [ctb]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>

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Package MagmaClustR updated to version 1.1.0 with previous version 1.0.1 dated 2022-08-29

Title: Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean
Description: An implementation for the multi-task Gaussian processes with common mean framework. Two main algorithms, called 'Magma' and 'MagmaClust', are available to perform predictions for supervised learning problems, in particular for time series or any functional/continuous data applications. The corresponding articles has been respectively proposed by Arthur Leroy, Pierre Latouche, Benjamin Guedj and Servane Gey (2022) <doi:10.1007/s10994-022-06172-1>, and Arthur Leroy, Pierre Latouche, Benjamin Guedj and Servane Gey (2020) <arXiv:2011.07866>. Theses approaches leverage the learning of cluster-specific mean processes, which are common across similar tasks, to provide enhanced prediction performances (even far from data) at a linear computational cost (in the number of tasks). 'MagmaClust' is a generalisation of 'Magma' where the tasks are simultaneously clustered into groups, each being associated to a specific mean process. User-oriented functions in the package are decomposed [...truncated...]
Author: Arthur Leroy [aut, cre] , Pierre Latouche [aut], Pierre Pathe [ctb], Alexia Grenouilla [ctb], Hugo Lelievre [ctb]
Maintainer: Arthur Leroy <arthur.leroy.pro@gmail.com>

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Package LS2W updated to version 1.3.6 with previous version 1.3.5 dated 2022-06-13

Title: Locally Stationary Two-Dimensional Wavelet Process Estimation Scheme
Description: Estimates two-dimensional local wavelet spectra.
Author: Idris Eckley [aut, cre], Guy Nason [aut], Sarah Taylor [ctb], Matthew Nunes [ctb]
Maintainer: Idris Eckley <i.eckley@lancaster.ac.uk>

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Package IDSL.UFA updated to version 1.7 with previous version 1.6 dated 2022-10-04

Title: United Formula Annotation (UFA) for HRMS Data Processing
Description: A pipeline to annotate peaklists from the IDSL.IPA package with molecular formula of a prioritized chemical space using an isotopic profile matching approach. The IDSL.UFA pipeline only requires MS1 for formula annotation.
Author: Sadjad Fakouri-Baygi [cre, aut] , Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>

Diff between IDSL.UFA versions 1.6 dated 2022-10-04 and 1.7 dated 2022-11-01

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 IDSL.UFA-1.7/IDSL.UFA/R/UFA_profile_visualizer.R                    |  174 +++++-----
 IDSL.UFA-1.7/IDSL.UFA/R/UFA_profile_visualizer_xlsxAnalyzer.R       |    7 
 IDSL.UFA-1.7/IDSL.UFA/R/UFA_score_coefficient_corrector.R           |    2 
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 IDSL.UFA-1.7/IDSL.UFA/R/isotopic_profile_molecular_formula_feeder.R |   40 +-
 IDSL.UFA-1.7/IDSL.UFA/R/molecular_formulas_source_IPDB.R            |   36 +-
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More information about IDSL.UFA at CRAN
Permanent link

Package IDSL.IPA updated to version 2.5 with previous version 2.4 dated 2022-10-01

Title: Intrinsic Peak Analysis (IPA) for HRMS Data
Description: A sophisticated pipeline for processing LC/HRMS data to extract signals of organic compounds. The package performs ion pairing, peak detection, alignment, RT correction, gap filling, peak annotation and visualization of extracted ion chromatograms (EICs) and total ion chromatograms (TICs).
Author: Sadjad Fakouri-Baygi [cre, aut] , Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>

Diff between IDSL.IPA versions 2.4 dated 2022-10-01 and 2.5 dated 2022-11-01

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 IDSL.IPA-2.5/IDSL.IPA/R/IPA_CompoundsAnnotation.R            |  251 +++---
 IDSL.IPA-2.5/IDSL.IPA/R/IPA_GapFiller.R                      |  278 +------
 IDSL.IPA-2.5/IDSL.IPA/R/IPA_IonPairing.R                     |   26 
 IDSL.IPA-2.5/IDSL.IPA/R/IPA_MSdeconvoluter.R                 |    6 
 IDSL.IPA-2.5/IDSL.IPA/R/IPA_PeakAlignment.R                  |   99 +-
 IDSL.IPA-2.5/IDSL.IPA/R/IPA_PeakAnalyzer.R                   |  240 ++++--
 IDSL.IPA-2.5/IDSL.IPA/R/IPA_PeaklistAnnotation.R             |  330 +-------
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 131 files changed, 1140 insertions(+), 1433 deletions(-)

More information about IDSL.IPA at CRAN
Permanent link

Package flexsurvcure updated to version 1.3.1 with previous version 1.3.0 dated 2022-06-17

Title: Flexible Parametric Cure Models
Description: Flexible parametric mixture and non-mixture cure models for time-to-event data.
Author: Jordan Amdahl [aut, cre]
Maintainer: Jordan Amdahl <jrdnmdhl@gmail.com>

Diff between flexsurvcure versions 1.3.0 dated 2022-06-17 and 1.3.1 dated 2022-11-01

 DESCRIPTION                |    8 ++++----
 MD5                        |   12 ++++++------
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More information about flexsurvcure at CRAN
Permanent link

Package ade4 updated to version 1.7-20 with previous version 1.7-19 dated 2022-04-19

Title: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences
Description: Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.
Author: Stephane Dray <stephane.dray@univ-lyon1.fr>, Anne-Beatrice Dufour <anne-beatrice.dufour@univ-lyon1.fr>, and Jean Thioulouse <jean.thioulouse@univ-lyon1.fr>, with contributions from Thibaut Jombart, Sandrine Pavoine, Jean R. Lobry, Sebastien Ollier, D [...truncated...]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between ade4 versions 1.7-19 dated 2022-04-19 and 1.7-20 dated 2022-11-01

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More information about ade4 at CRAN
Permanent link

Package tint updated to version 0.1.4 with previous version 0.1.3 dated 2020-07-18

Title: 'tint' is not 'Tufte'
Description: A 'tufte'-alike style for 'rmarkdown'. A modern take on the 'Tufte' design for pdf and html vignettes, building on the 'tufte' package with additional contributions from the 'knitr' and 'ggtufte' package, and also acknowledging the key influence of 'envisioned css'.
Author: Dirk Eddelbuettel and Jonathan Gilligan
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between tint versions 0.1.3 dated 2020-07-18 and 0.1.4 dated 2022-11-01

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 man/tintHtml.Rd                                                 |    4 
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More information about tint at CRAN
Permanent link

Package targets updated to version 0.14.0 with previous version 0.13.5 dated 2022-09-26

Title: Dynamic Function-Oriented 'Make'-Like Declarative Workflows
Description: As a pipeline toolkit for Statistics and data science in R, the 'targets' package brings together function-oriented programming and 'Make'-like declarative workflows. It analyzes the dependency relationships among the tasks of a workflow, skips steps that are already up to date, runs the necessary computation with optional parallel workers, abstracts files as R objects, and provides tangible evidence that the results match the underlying code and data. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] , Matthew T. Warkentin [ctb], Mark Edmondson [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between targets versions 0.13.5 dated 2022-09-26 and 0.14.0 dated 2022-11-01

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More information about targets at CRAN
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Package viewpoly updated to version 0.3.2 with previous version 0.3.1 dated 2022-10-10

Title: A Shiny App to Visualize Genetic Maps and QTL Analysis in Polyploid Species
Description: Provides a graphical user interface to integrate, visualize and explore results from linkage and quantitative trait loci analysis, together with genomic information for autopolyploid species. The app is meant for interactive use and allows users to optionally upload different sources of information, including gene annotation and alignment files, enabling the exploitation and search for candidate genes in a genome browser. In its current version, 'VIEWpoly' supports inputs from 'MAPpoly', 'polymapR', 'diaQTL', 'QTLpoly' and 'polyqtlR' packages.
Author: Cristiane Taniguti [aut, cre], Gabriel de Siqueira Gesteira [aut], Jeekin Lau [ctb], Guilherme da Silva Pereira [ctb], David Byrne [ctb], Zhao-Bang Zeng [ctb], Oscar Riera-Lizarazu [ctb], Marcelo Mollinari [aut]
Maintainer: Cristiane Taniguti <chtaniguti@tamu.edu>

Diff between viewpoly versions 0.3.1 dated 2022-10-10 and 0.3.2 dated 2022-11-01

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Permanent link

Package RxCEcolInf (with last version 0.1-5) was removed from CRAN

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

2021-11-06 0.1-5
2019-03-18 0.1-4
2013-07-24 0.1-3
2012-06-03 0.1-2
2009-05-04 0.1-1

Permanent link
Package SynthCast (with last version 0.2.1) was removed from CRAN

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

2022-03-08 0.2.1
2021-06-14 0.2.0

Permanent link
Package patPRO (with last version 1.1.0) was removed from CRAN

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

2016-02-02 1.1.0

Permanent link
Package intensegRid (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:

2021-05-01 0.1.1

Permanent link
Package vegperiod updated to version 0.4.0 with previous version 0.3.1 dated 2021-02-02

Title: Determine Thermal Vegetation Periods
Description: Collection of common methods to determine growing season length in a simple manner. Start and end dates of the vegetation periods are calculated solely based on daily mean temperatures and the day of the year.
Author: Robert Nuske [aut, cre] , Nordwestdeutsche Forstliche Versuchsanstalt [cph, fnd]
Maintainer: Robert Nuske <robert.nuske@mailbox.org>

Diff between vegperiod versions 0.3.1 dated 2021-02-02 and 0.4.0 dated 2022-11-01

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Package spatstat.random updated to version 3.0-0 with previous version 2.2-0 dated 2022-03-30

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes (simple sequential inhibition, Matern inhibition models, Matern cluster process, Neyman-Scott cluster processes, log-Gaussian Cox processes, product shot noise cluster processes) and simulation of Gibbs point processes (Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut] , Kasper Klitgaard Berthelsen [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.random versions 2.2-0 dated 2022-03-30 and 3.0-0 dated 2022-11-01

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Package santoku updated to version 0.9.0 with previous version 0.8.0 dated 2022-06-08

Title: A Versatile Cutting Tool
Description: A tool for cutting data into intervals. Allows singleton intervals. Always includes the whole range of data by default. Flexible labelling. Convenience functions for cutting by quantiles etc. Handles dates, times, units and other vectors.
Author: David Hugh-Jones [aut, cre], Daniel Possenriede [ctb]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between santoku versions 0.8.0 dated 2022-06-08 and 0.9.0 dated 2022-11-01

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Package memuse updated to version 4.2-2 with previous version 4.2-1 dated 2021-10-20

Title: Memory Estimation Utilities
Description: How much ram do you need to store a 100,000 by 100,000 matrix? How much ram is your current R session using? How much ram do you even have? Learn the scintillating answer to these and many more such questions with the 'memuse' package.
Author: Drew Schmidt [aut, cre], Christian Heckendorf [ctb] , Wei-Chen Chen [ctb] , Dan Burgess [ctb]
Maintainer: Drew Schmidt <wrathematics@gmail.com>

Diff between memuse versions 4.2-1 dated 2021-10-20 and 4.2-2 dated 2022-11-01

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Package cotram updated to version 0.4-2 with previous version 0.4-1 dated 2022-07-14

Title: Count Transformation Models
Description: Count transformation models featuring parameters interpretable as discrete hazard ratios, odds ratios, reverse-time discrete hazard ratios, or transformed expectations. An appropriate data transformation for a count outcome and regression coefficients are simultaneously estimated by maximising the exact discrete log-likelihood using the computational framework provided in package 'mlt', technical details are given in Siegfried & Hothorn (2020) <DOI:10.1111/2041-210X.13383>. The package also contains an experimental implementation of multivariate count transformation models with an application to multi-species distribution models <arXiv:2201.13095>.
Author: Sandra Siegfried [aut, cre] , Luisa Barbanti [aut] , Torsten Hothorn [aut]
Maintainer: Sandra Siegfried <sandra.siegfried@uzh.ch>

Diff between cotram versions 0.4-1 dated 2022-07-14 and 0.4-2 dated 2022-11-01

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New package wwntests with initial version 1.0.2
Package: wwntests
Title: Hypothesis Tests for Functional Time Series
Version: 1.0.2
Maintainer: Mihyun Kim <mihyun.kim@mail.wvu.edu>
Description: Provides an array of white noise hypothesis tests for functional data and related visualizations. These include tests based on the norms of autocovariance operators that are built under both strong and weak white noise assumptions. Additionally, tests based on the spectral density operator and on principal component dimensional reduction are included, which are built under strong white noise assumptions. These methods are described in Kokoszka et al. (2017) <doi:10.1016/j.jmva.2017.08.004>, Characiejus and Rice (2019) <doi:10.1016/j.ecosta.2019.01.003>, and Gabrys and Kokoszka (2007) <doi:10.1198/016214507000001111>, respectively.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.4.0)
Imports: sde, stats, ftsa, rainbow, MASS, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, CompQuadForm, tensorA
VignetteBuilder: knitr
BugReports: https://github.com/veritasmih/wwntests/issues
NeedsCompilation: no
Packaged: 2022-10-27 20:39:05 UTC; mihyunkim
Author: Mihyun Kim [aut, cre], Daniel Petoukhov [aut]
Repository: CRAN
Date/Publication: 2022-11-01 15:10:02 UTC

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New package VIMean with initial version 0.1.0
Package: VIMean
Title: Variability Independent of Mean
Version: 0.1.0
Author: Zhicheng Du
Maintainer: Zhicheng Du <dgdzc@hotmail.com>
Description: To computed the variability independent of mean (VIM) or variation independent of mean (VIM). The methodology can be found at Peter M Rothwell et al. (2010) <doi:10.1016/S1474-4422(10)70067-3>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-01 08:57:27 UTC; dgdzc
Repository: CRAN
Date/Publication: 2022-11-01 15:10:12 UTC

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New package sarp.snowprofile.pyface with initial version 0.1.3
Package: sarp.snowprofile.pyface
Version: 0.1.3
Date: 2022-10-26
Title: 'python' Modules from Snowpack and Avalanche Research
Description: The development of post-processing functionality for simulated snow profiles by the snow and avalanche community is often done in 'python'. This package aims to make these tools accessible to 'R' users. Currently integrated modules contain functions to calculate dry snow layer instabilities in support of avalache hazard assessments following the publications of Richter, Schweizer, Rotach, and Van Herwijnen (2019) <doi:10.5194/tc-13-3353-2019>, and Mayer, Van Herwijnen, Techel, and Schweizer (2022) <doi:10.5194/tc-2022-34>.
URL: http://www.avalancheresearch.ca
License: CC BY-SA 4.0
Encoding: UTF-8
Language: en-CA
Depends: sarp.snowprofile (>= 1.3.0)
Imports: utils, reticulate, data.table
Config/reticulate: list( packages = list( list(package = "scikit-learn", version = "0.22.1"), list(package = "joblib"), list(package = "numpy"), list(package = "pandas") ) )
NeedsCompilation: no
Packaged: 2022-11-01 11:58:04 UTC; flo
Author: Florian Herla [aut, cre], Stephanie Mayer [aut], SFU Avalanche Research Program [fnd]
Maintainer: Florian Herla <fherla@sfu.ca>
Repository: CRAN
Date/Publication: 2022-11-01 15:15:03 UTC

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New package PScr with initial version 1.0
Package: PScr
Title: Estimation for the Power Series Cure Rate Model
Version: 1.0
Date: 2022-10-29
Author: Diego Gallardo [aut, cre]
Maintainer: Diego Gallardo <diego.gallardo.mateluna@gmail.com>
Description: Provide estimation for particular cases of the power series cure rate model <doi:10.1080/03610918.2011.639971>. For the distribution of the concurrent causes the alternative models are the Poisson, logarithmic, negative binomial and Bernoulli (which are includes in the original work) and the polylogarithm model <doi:10.1080/00949655.2018.1451850>. The estimation procedure is based on the EM algorithm discussed in <doi:10.1080/03610918.2016.1202276>. For the distribution of the time-to-event the alternative models are slash half-normal, Weibull, gamma and Birnbaum-Saunders distributions.
Depends: R (>= 4.0.0), stats
Imports: nlme, gtools, LambertW, survival, pracma, mstate, VGAM
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-11-01 13:17:46 UTC; Usuario
Repository: CRAN
Date/Publication: 2022-11-01 15:25:01 UTC

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Package promor updated to version 0.1.1 with previous version 0.1.0 dated 2022-07-20

Title: Proteomics Data Analysis and Modeling Tools
Description: A comprehensive, user-friendly package for label-free proteomics data analysis and machine learning-based modeling. Data generated from 'MaxQuant' can be easily used to conduct differential expression analysis, build predictive models with top protein candidates, and assess model performance. promor includes a suite of tools for quality control, visualization, missing data imputation (Lazar et. al. (2016) <doi:10.1021/acs.jproteome.5b00981>), differential expression analysis (Ritchie et. al. (2015) <doi:10.1093/nar/gkv007>), and machine learning-based modeling (Kuhn (2008) <doi:10.18637/jss.v028.i05>).
Author: Chathurani Ranathunge [aut, cre, cph]
Maintainer: Chathurani Ranathunge <caranathunge86@gmail.com>

Diff between promor versions 0.1.0 dated 2022-07-20 and 0.1.1 dated 2022-11-01

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New package nse2r with initial version 0.1.6
Package: nse2r
Title: Fetch Data from 'National Stock Exchange (India)'
Version: 0.1.6
Description: Fetch data related to stocks, index, futures & options from the 'NSE (National Stock Exchange, India)'. This package is community maintained and is not officially supported by 'NSE'. The accuracy of data is only as correct as provided on <https://www.nseindia.com>.
License: MIT + file LICENSE
URL: https://github.com/rsquaredacademy/nse2r, https://nse2r.rsquaredacademy.com/
BugReports: https://github.com/rsquaredacademy/nse2r/issues
Depends: R(>= 3.3)
Imports: jsonlite, magrittr, utils, yahoofinancer
Suggests: covr, DT, httptest, shiny, shinyBS, shinycssloaders, shinythemes, testthat (>= 2.1.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-10-29 08:09:07 UTC; HP
Author: Lokesh Kumar [aut], Aravind Hebbali [aut, cre], Lionel Pinto [ctb]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-01 15:17:53 UTC

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New package ecochange with initial version 2.9.1
Package: ecochange
Title: Integrating Ecosystem Remote Sensing Products to Derive EBV Indicators
Version: 2.9.1
Date: 2022-10-27
Maintainer: Wilson Lara Henao <wilarhen@gmail.com>
Description: Essential Biodiversity Variables (EBV) are state variables with dimensions on time, space, and biological organization that document biodiversity change. Freely available ecosystem remote sensing products (ERSP) are downloaded and integrated with data for national or regional domains to derive indicators for EBV in the class ecosystem structure (Pereira et al., 2013) <doi:10.1126/science.1229931>, including horizontal ecosystem extents, fragmentation, and information-theory indices. To process ERSP, users must provide a polygon or geographic administrative data map. Downloadable ERSP include Global Surface Water (Peckel et al., 2016) <doi:10.1038/nature20584>, Forest Change (Hansen et al., 2013) <doi:10.1126/science.1244693>, and Continuous Tree Cover data (Sexton et al., 2013) <doi:10.1080/17538947.2013.786146>.
License: GPL-3
Depends: R (>= 3.5.0), raster, sf, parallel, rasterVis
Imports: sp,ggplot2,landscapemetrics,tibble,utils,httr,getPass,methods,rlang,lattice,rasterDT,stats
Suggests: knitr, rmarkdown, curl, xml2, rvest, viridis
VignetteBuilder: knitr
Encoding: latin1
NeedsCompilation: no
Packaged: 2022-10-27 09:13:17 UTC; wihe
Author: Wilson Lara Henao [aut, cre], Victor Gutierrez-Velez [aut], Ivan Gonzalez [ctb], Maria C. Londono [ctb]
Repository: CRAN
Date/Publication: 2022-11-01 15:30:00 UTC

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New package combinatorics with initial version 0.1.0
Package: combinatorics
Title: Introduction to Some Combinatorial Relations
Version: 0.1.0
Maintainer: Anik Paul <paulanik2019@gmail.com>
Description: Determining the value of Stirling numbers of 1st kind and 2nd kind,references: Bóna,Miklós(2017,ISBN 9789813148840).
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-01 10:14:39 UTC; ANIK
Author: Anik Paul [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-01 15:20:26 UTC

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New package sMSROC with initial version 0.1.0
Package: sMSROC
Title: Assessment of Diagnostic and Prognostic Markers
Version: 0.1.0
Description: Provides estimations of the Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) based on the two-stages mixed-subjects ROC curve estimator (Diaz-Coto et al. (2020) <doi:10.1515/ijb-2019-0097> and Diaz-Coto et al. (2020) <doi:10.1080/00949655.2020.1736071>).
License: GPL
Encoding: UTF-8
Imports: survival, rms, foreach, ggplot2, flextable, plotROC, icenReg, RISCA, thregI
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-11-01 00:42:49 UTC; SCoto
Author: Susana Diaz-Coto [aut], Susana Diaz-Coto [cre]
Maintainer: Susana Diaz-Coto <susanacoto@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-01 14:24:59 UTC

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New package ResPBIBD with initial version 0.1.0
Package: ResPBIBD
Title: "Resolvable Partially Balanced Incomplete Block Designs (PBIBDs)"
Version: 0.1.0
Maintainer: Vinaykumar L.N. <vinaymandya123@gmail.com>
Description: A collection of several utility functions related to resolvable and affine resolvable Partially Balanced Incomplete Block Designs (PBIBDs), have been developed. In the class of resolvable designs, affine resolvable designs are said to be optimal, Bailey (1995) <doi:10.2307/2337638>. Here, the package contains three functions to generate and study the characterization properties of these designs. Developed functions are named as PBIBD1(), PBIBD2() and PBIBD3(), in which first two functions are used to generate two new series of affine resolvable PBIBDs and last one is used to generate a new series of resolvable PBIBDs, respectively. In addition, these functions can also be used to generate design parameters (v, b, r and k), canonical efficiency factors, variance factor between associates and average variance factors of the generated designs. Here v is the number of treatments, b (= b1 + b2, in case of non-proper design) is the number of blocks, r is the number of replications and [...truncated...]
Suggests: MASS
License: GPL-3
Encoding: UTF-8
LazyData: false
NeedsCompilation: no
Packaged: 2022-10-31 17:23:51 UTC; Vinaykumar LN
Author: Vinaykumar L.N. [aut, cre], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Karmakar Sayantani [aut, ctb]
Repository: CRAN
Date/Publication: 2022-11-01 14:33:03 UTC

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New package RaceID with initial version 0.2.7
Package: RaceID
Title: Identification of Cell Types and Inference of Lineage Trees from Single-Cell RNA-Seq Data
Version: 0.2.7
Date: 2022-10-31
Author: Dominic Gruen <dominic.gruen@gmail.com>
Maintainer: Dominic Gruen <dominic.gruen@gmail.com>
Description: Application of 'RaceID' allows inference of cell types and prediction of lineage trees by he StemID2 algorithm. Herman, J.S., Sagar, Grün D. (2018) <DOI:10.1038/nmeth.4662>.
Depends: R (>= 3.5.0)
Imports: coop, compiler, cluster, FateID, FNN, fpc, ggplot2, grDevices, ica, igraph, irlba, leiden, locfit, methods, MASS, Matrix, matrixStats, parallel, pheatmap, princurve, quadprog, randomForest, runner, Rcpp, RColorBrewer, Rtsne, umap, vegan
LinkingTo: Rcpp (>= 0.11.0)
Suggests: batchelor, DESeq2, knitr, rmarkdown, SingleCellExperiment, slingshot, SummarizedExperiment
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2022-11-01 10:21:13 UTC; d.grun
Repository: CRAN
Date/Publication: 2022-11-01 14:02:40 UTC

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New package minsample1 with initial version 0.1.0
Package: minsample1
Title: The Minimum Sample Size
Version: 0.1.0
Description: Using this package, one can determine the minimum sample size required so that the absolute deviation of the sample mean and the population mean of a distribution becomes less than some pre-determined epsilon, i.e. it helps the user to determine the minimum sample size required to attain the pre-fixed precision level by minimizing the difference between the sample mean and population mean.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-10-31 09:19:32 UTC; ANIK
Author: Anik Paul [aut, cre]
Maintainer: Anik Paul <paulanik2019@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-01 14:17:40 UTC

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Package MedianaDesigner updated to version 0.10 with previous version 0.9 dated 2022-10-28

Title: Power and Sample Size Calculations for Clinical Trials
Description: Efficient simulation-based power and sample size calculations are supported for a broad class of late-stage clinical trials. The following modules are included in the package: Adaptive designs with data-driven sample size or event count re-estimation, Adaptive designs with data-driven treatment selection, Adaptive designs with data-driven population selection, Optimal selection of a futility stopping rule, Event prediction in event-driven trials, Adaptive trials with response-adaptive randomization (experimental module), Traditional trials with multiple objectives (experimental module). Traditional trials with cluster-randomized designs (experimental module).
Author: Alex Dmitrienko [aut, cre]
Maintainer: Alex Dmitrienko <admitrienko@mediana.us>

Diff between MedianaDesigner versions 0.9 dated 2022-10-28 and 0.10 dated 2022-11-01

 CHANGELOG     |    3 ++-
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New package fuj with initial version 0.1.0
Package: fuj
Title: Functions and Utilities for Jordan
Version: 0.1.0
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>
Description: Provides core functions and utilities for packages and other code developed by Jordan Mark Barbone.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.6)
Suggests: covr, spelling, testthat (>= 3.0.0)
URL: https://jmbarbone.github.io/fuj/
NeedsCompilation: no
Packaged: 2022-11-01 04:11:09 UTC; jordan
Author: Jordan Mark Barbone [aut, cph, cre]
Repository: CRAN
Date/Publication: 2022-11-01 14:40:15 UTC

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New package DEGRE with initial version 0.1.0
Package: DEGRE
Title: Inferring Differentially Expressed Genes using Generalized Linear Mixed Models
Version: 0.1.0
Description: Genes that are differentially expressed between two or more experimental conditions can be detected in RNA-Seq. A high biological variability may impact the discovery of these genes once it may be divergent between the fixed effects. However, this variability can be covered by the random effects. 'DEGRE' was designed to identify the differentially expressed genes considering fixed and random effects on individuals. These effects are identified earlier in the experimental design matrix. 'DEGRE' has the implementation of preprocessing procedures to clean the near zero gene reads in the count matrix, normalize by 'RLE' published in the 'DESeq2' package, 'Love et al. (2014)' <doi:10.1186/s13059-014-0550-8> and it fits a regression for each gene using the Generalized Linear Mixed Model with the negative binomial distribution, followed by a Wald test to assess the regression coefficients.
License: Artistic-2.0
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: utils, parglm, glmmTMB, foreach, tibble, ggplot2, ggpubr, ggrepel, car, dplyr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-11-01 01:40:52 UTC; tavinbio
Author: Douglas Terra Machado [aut, cre] , Otavio Jose Bernardes Brustolini [aut] , Yasmmin Cortes Martins [aut] , Marco Antonio Grivet Mattoso Maia [ctb] , Ana Tereza Ribeiro de Vasconcelos [ctb]
Maintainer: Douglas Terra Machado <dougterra@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-01 14:33:06 UTC

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New package CGNM with initial version 0.5.1
Package: CGNM
Title: Cluster Gauss-Newton Method
Version: 0.5.1
Author: Yasunori Aoki
Maintainer: Yasunori Aoki <yaoki@uwaterloo.ca>
Description: Find multiple solutions of a nonlinear least squares problem. Cluster Gauss-Newton method does not assume uniqueness of the solution of the nonlinear least squares problem and compute approximate multiple minimizers. Please cite the following paper when this software is used in your research: Aoki et al. (2020) <doi:10.1007/s11081-020-09571-2>. Cluster Gauss–Newton method. Optimization and Engineering, 1-31.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, ggplot2, MASS
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-01 08:28:59 UTC; yaoki
Repository: CRAN
Date/Publication: 2022-11-01 14:16:58 UTC

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Package ympes updated to version 0.2.1 with previous version 0.2.0 dated 2022-10-26

Title: Collection of Helper Functions
Description: Provides a collection of lightweight helper functions (imps) both for interactive use and for inclusion within other packages. These include minimal assertion functions with a focus on informative error messaging for both missing and incorrect function arguments as well as other functions for visualising colour palettes, quoting user input and working with age intervals.
Author: Tim Taylor [aut, cre, cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between ympes versions 0.2.0 dated 2022-10-26 and 0.2.1 dated 2022-11-01

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Package SoupX updated to version 1.6.2 with previous version 1.6.1 dated 2022-05-26

Title: Single Cell mRNA Soup eXterminator
Description: Quantify, profile and remove ambient mRNA contamination (the "soup") from droplet based single cell RNA-seq experiments. Implements the method described in Young et al. (2018) <doi:10.1101/303727>.
Author: Matthew Daniel Young
Maintainer: Matthew Daniel Young <my4@sanger.ac.uk>

Diff between SoupX versions 1.6.1 dated 2022-05-26 and 1.6.2 dated 2022-11-01

 DESCRIPTION                |    8 +-
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Package RcppXts updated to version 0.0.6 with previous version 0.0.5 dated 2022-08-05

Title: Interface the 'xts' API via 'Rcpp'
Description: Access to some of the C level functions of the 'xts' package. In its current state, the package is mostly a proof-of-concept to support adding useful functions, and does not yet add any of its own.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppXts versions 0.0.5 dated 2022-08-05 and 0.0.6 dated 2022-11-01

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Package multibridge updated to version 1.2.0 with previous version 1.1.0 dated 2021-02-23

Title: Evaluating Multinomial Order Restrictions with Bridge Sampling
Description: Evaluate hypotheses concerning the distribution of multinomial proportions using bridge sampling. The bridge sampling routine is able to compute Bayes factors for hypotheses that entail inequality constraints, equality constraints, free parameters, and mixtures of all three. These hypotheses are tested against the encompassing hypothesis, that all parameters vary freely or against the null hypothesis that all category proportions are equal. For more information see Sarafoglou et al. (2020) <doi:10.31234/osf.io/bux7p>.
Author: Alexandra Sarafoglou [aut, cre] , Frederik Aust [aut] , Julia M. Haaf [aut] , Joris Goosen [aut], Quentin F. Gronau [aut], Maarten Marsman [aut]
Maintainer: Alexandra Sarafoglou <alexandra.sarafoglou@gmail.com>

Diff between multibridge versions 1.1.0 dated 2021-02-23 and 1.2.0 dated 2022-11-01

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Package IntervalQuestionStat updated to version 0.2.0 with previous version 0.1.0 dated 2022-07-04

Title: Tools to Deal with Interval-Valued Responses in Questionnaires
Description: A user-friendly toolbox for doing the statistical analysis of interval-valued responses in questionnaires measuring intrinsically imprecise human attributes or features (attitudes, perceptions, opinions, feelings, etc.). In particular, this package provides S4 classes, methods, and functions in order to compute basic arithmetic and statistical operations with interval-valued data; prepare customized plots; associate each interval-valued response to its equivalent Likert-type and visual analogue scales answers through the minimum theta-distance and the mid-point criteria; analyze the reliability of respondents' answers from the internal consistency point of view by means of Cronbach's alpha coefficient; and simulate interval-valued responses in this type of questionnaires. The package also incorporates some real-life data that can be used to illustrate its working with several non-trivial reproducible examples. The methodology used in this package is based in many theoretical and applie [...truncated...]
Author: Jose Garcia-Garcia [aut, cre] , Maria Asuncion Lubiano [ctb]
Maintainer: Jose Garcia-Garcia <garciagarjose@uniovi.es>

Diff between IntervalQuestionStat versions 0.1.0 dated 2022-07-04 and 0.2.0 dated 2022-11-01

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Package crfsuite updated to version 0.4.1 with previous version 0.4 dated 2021-11-12

Title: Conditional Random Fields for Labelling Sequential Data in Natural Language Processing
Description: Wraps the 'CRFsuite' library <https://github.com/chokkan/crfsuite> allowing users to fit a Conditional Random Field model and to apply it on existing data. The focus of the implementation is in the area of Natural Language Processing where this R package allows you to easily build and apply models for named entity recognition, text chunking, part of speech tagging, intent recognition or classification of any category you have in mind. Next to training, a small web application is included in the package to allow you to easily construct training data.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Naoaki Okazaki [aut, ctb, cph] , libLBFGS library , Constant Quark Database software ), Bob Jenkins [aut, ctb] ), Jorge Nocedal [aut, ctb, cph] ), Jesse Long [aut, ctb, cph] )
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between crfsuite versions 0.4 dated 2021-11-12 and 0.4.1 dated 2022-11-01

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Package cookies updated to version 0.1.1 with previous version 0.1.0 dated 2022-11-01

Title: Use Browser Cookies with 'shiny'
Description: Browser cookies are name-value pairs that are saved in a user's browser by a website. Cookies allow websites to persist information about the user and their use of the website. Here we provide tools for working with cookies in 'shiny' apps, in part by wrapping the 'js-cookie' JavaScript library <https://github.com/js-cookie/js-cookie>.
Author: Jon Harmon [aut, cre, cph] , Klaus Hartl [cph] , Fagner Brack [cph]
Maintainer: Jon Harmon <jonthegeek@gmail.com>

Diff between cookies versions 0.1.0 dated 2022-11-01 and 0.1.1 dated 2022-11-01

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Package rnmamod updated to version 0.3.0 with previous version 0.2.0 dated 2022-04-06

Title: Bayesian Network Meta-Analysis with Missing Participants
Description: A comprehensive suite of functions to perform and visualise pairwise and network meta-analysis with aggregate binary or continuous missing participant outcome data. The package covers core Bayesian one-stage models implemented in a systematic review with multiple interventions, including fixed-effect and random-effects network meta-analysis, meta-regression, evaluation of the consistency assumption via the node-splitting approach and the unrelated mean effects model, and sensitivity analysis. Missing participant outcome data are addressed in all models of the package. The package also offers a rich, user-friendly visualisation toolkit that aids in appraising and interpreting the results thoroughly and preparing the manuscript for journal submission. The visualisation tools comprise the network plot, forest plots, panel of diagnostic plots, heatmaps on the extent of missing participant outcome data in the network, league heatmaps on estimation and prediction, rankograms, Bland-Altman pl [...truncated...]
Author: Loukia Spineli [aut, cre], Chrysostomos Kalyvas [ctb], Katerina Papadimitropoulou [ctb]
Maintainer: Loukia Spineli <Spineli.Loukia@mh-hannover.de>

Diff between rnmamod versions 0.2.0 dated 2022-04-06 and 0.3.0 dated 2022-11-01

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Package jagshelper updated to version 0.1.9 with previous version 0.1.8 dated 2022-10-21

Title: Extracting and Visualizing Output from 'jagsUI'
Description: Tools are provided to streamline Bayesian analyses in 'JAGS' using the 'jagsUI' package. Included are functions for extracting output in simpler format, functions for streamlining assessment of convergence, and functions for producing summary plots of output. Also included is a function that provides a simple template for running 'JAGS' from 'R'. Referenced materials can be found at <DOI:10.1214/ss/1177011136>.
Author: Matt Tyers [aut, cre]
Maintainer: Matt Tyers <matttyersstat@gmail.com>

Diff between jagshelper versions 0.1.8 dated 2022-10-21 and 0.1.9 dated 2022-11-01

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Package gglgbtq updated to version 0.1.1 with previous version 0.1.0 dated 2022-08-16

Title: Show Pride on 'ggplot2' Plots
Description: Provides multiple palettes based on pride flags with tailored themes.
Author: Laura Bakala [cre, aut, cph]
Maintainer: Laura Bakala <erdaradun.gaztea@gmail.com>

Diff between gglgbtq versions 0.1.0 dated 2022-08-16 and 0.1.1 dated 2022-11-01

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New package tensorFun with initial version 0.1.1
Package: tensorFun
Title: Basic Functions to Handle Tensor Data in Array Class
Version: 0.1.1
Date: 2022-10-31
Author: Zetai Cen [aut, cre]
Maintainer: Zetai Cen <z.cen@lse.ac.uk>
Description: Basic functions to handle higher-order tensor data. See Kolda and Bader (2009) <doi:10.1137/07070111X> for details on tensor. While existing packages on tensor data extend the base 'array' class to some S4 classes, this package serves as an alternative resort to handle tensor only as 'array' class. Some functionalities related to missingness and rearrangement, discussed in Bai and Ng (2021) <arXiv:1910.06677>, are also supported.
License: GPL-3
Imports: ClimProjDiags, psychTools, MASS
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-10-31 12:43:50 UTC; gaviosha
Repository: CRAN
Date/Publication: 2022-11-01 08:02:25 UTC

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New package rfars with initial version 0.2.0
Package: rfars
Title: Download and Analyze Fatal Crash Data
Version: 0.2.0
Description: Download raw data from the Fatality Analysis Reporting System (<https://cdan.dot.gov/query>) and prepare it for research.
License: CC0
Encoding: UTF-8
LazyData: true
Imports: data.table, downloader, dplyr, janitor, lubridate, magrittr, readr, rlang, stringr, tidyr, tidyselect, timetk
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, leaflet, leaflet.extras, ggplot2, scales, stargazer, viridis
VignetteBuilder: knitr
URL: https://github.com/s87jackson/rfars
BugReports: https://github.com/s87jackson/rfars/issues
NeedsCompilation: no
Packaged: 2022-10-31 18:50:04 UTC; s87ja
Author: Steve Jackson [aut, cre]
Maintainer: Steve Jackson <s87jackson@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-01 08:34:53 UTC

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New package mockthat with initial version 0.2.8
Package: mockthat
Title: Function Mocking for Unit Testing
Version: 0.2.8
Description: With the deprecation of mocking capabilities shipped with 'testthat' as of 'edition 3' it is left to third-party packages to replace this functionality, which in some test-scenarios is essential in order to run unit tests in limited environments (such as no Internet connection). Mocking in this setting means temporarily substituting a function with a stub that acts in some sense like the original function (for example by serving a HTTP response that has been cached as a file). The only exported function 'with_mock()' is modeled after the eponymous 'testthat' function with the intention of providing a drop-in replacement.
License: MIT + file LICENSE
URL: https://nbenn.github.io/mockthat/
BugReports: https://github.com/nbenn/mockthat/issues
Depends: R (>= 3.3.0)
Imports: utils, rlang
Suggests: testthat, pkgload, curl, jsonlite, withr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2022-10-31 13:34:03 UTC; nbennett
Author: Nicolas Bennett [aut, cre]
Maintainer: Nicolas Bennett <nicolas.bennett@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2022-11-01 08:07:45 UTC

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New package jmatrix with initial version 1.0
Package: jmatrix
Title: Read from/Write to Disk Matrices with any Data Type in a Binary Format
Version: 1.0
Date: 2022-10-30
Author: Juan Domingo [aut, cre] , Guillermo Ayala [ctb] , Spanish Ministry of Science and Innovation, MCIN/AEI <doi:10.13039/501100011033> [fnd]
Maintainer: Juan Domingo <Juan.Domingo@uv.es>
Description: A mainly instrumental package meant to allow other packages whose core is written in 'C++' to read, write and manipulate matrices in a binary format so that the memory used for them is no more than strictly needed. Its functionality is already inside 'parallelpam' and 'scellpam', so if you have installed any of these, you do not need to install 'jmatrix'. Using just the needed memory is not always true with 'R' matrices or vectors, since by default they are of double type. Trials like the 'float' package have been done, but to use them you have to coerce a matrix already loaded in 'R' memory to a float matrix, and then you can delete it. The problem comes when your computer has not memory enough to hold the matrix in the first place, so you are forced to load it by chunks. This is the problem this package tries to address (with partial success, but this is a difficult problem since 'R' is not a strictly typed language, which is anyway quite hard to get in an interpreted language). This [...truncated...]
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.8), memuse (>= 4.2.1)
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-10-31 17:59:46 UTC; jdomingo
Repository: CRAN
Date/Publication: 2022-11-01 08:30:12 UTC

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New package cookies with initial version 0.1.0
Package: cookies
Title: Use Browser Cookies with 'shiny'
Version: 0.1.0
Description: Browser cookies are name-value pairs that are saved in a user's browser by a website. Cookies allow websites to persist information about the user and their use of the website. Here we provide tools for working with cookies in 'shiny' apps, in part by wrapping the 'js-cookie' JavaScript library <https://github.com/js-cookie/js-cookie>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/r4ds/cookies, https://r4ds.github.io/cookies/
BugReports: https://github.com/r4ds/cookies/issues
Suggests: covr, roxygen2, testthat (>= 3.0.0)
Imports: cli, clock, glue, htmltools, httpuv, jsonlite, purrr, rlang, shiny (>= 1.6.0), stats, vctrs
NeedsCompilation: no
Packaged: 2022-10-31 14:45:53 UTC; jonth
Author: Jon Harmon [aut, cre, cph] , Klaus Hartl [cph] , Fagner Brack [cph]
Maintainer: Jon Harmon <jonthegeek@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-01 08:20:26 UTC

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New package IPEDS with initial version 0.1.0
Package: IPEDS
Title: Data from the Integrated Post-Secondary Education Data System
Version: 0.1.0
Maintainer: Aushanae Haller <aushanaenhaller@gmail.com>
Description: Contains data on Post-Secondary Institution Statistics in 2020 <https://nces.ed.gov/ipeds/use-the-data>. The package allows easy access to a wide variety of information regarding Post-secondary Institutions, its students, faculty, and their demographics, financial aid, educational and recreational offerings, and completions. This package can be used by students, college counselors, or involved parents interested in pursuing higher education, considering their options, and securing admission into their school of choice.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, purrr, ggplot2, testthat (>= 3.0.0)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: dplyr, tidyr, rlang, readr, utils
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-10-26 17:59:15 UTC; aushanaehaller
Author: Aushanae Haller [aut, cre] , Alejandra Munoz [aut]
Repository: CRAN
Date/Publication: 2022-11-01 07:52:51 UTC

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Package Ease (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:

2022-10-18 0.1.1
2022-09-19 0.1.0

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Package frictionless (with last version 1.0.1) was removed from CRAN

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

2022-09-08 1.0.1
2022-02-16 1.0.0

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Package dual.spls (with last version 0.1.2) was removed from CRAN

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

2022-10-14 0.1.2

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Package roger updated to version 1.3-0 with previous version 1.2-0 dated 2022-10-15

Title: Automated Grading of R Scripts
Description: Tools for grading the coding style and documentation of R scripts. This is the R component of Roger the Omni Grader, an automated grading system for computer programming projects based on Unix shell scripts; see <https://gitlab.com/roger-project>. The package also provides an R interface to the shell scripts. Inspired by the lintr package.
Author: Vincent Goulet [aut, cre], Samuel Frechette [aut], Jean-Christophe Langlois [aut], Jim Hester [ctb]
Maintainer: Vincent Goulet <vincent.goulet@act.ulaval.ca>

Diff between roger versions 1.2-0 dated 2022-10-15 and 1.3-0 dated 2022-11-01

 DESCRIPTION             |    8 +-
 MD5                     |   10 +--
 R/roger_interface.R     |   94 +++++++++++++++++++--------------
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