Tue, 19 Mar 2024

Package fitPS updated to version 1.0.1 with previous version 1.0.0 dated 2024-01-10

Title: Fit Zeta Distributions to Forensic Data
Description: Fits Zeta distributions (discrete power laws) to data that arises from forensic surveys of clothing on the presence of glass and paint in various populations. The general method is described to some extent in Coulson, S.A., Buckleton, J.S., Gummer, A.B., and Triggs, C.M. (2001) <doi:10.1016/S1355-0306(01)71847-3>, although the implementation differs.
Author: James Curran [aut, cre]
Maintainer: James Curran <j.curran@auckland.ac.nz>

Diff between fitPS versions 1.0.0 dated 2024-01-10 and 1.0.1 dated 2024-03-19

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New package survivalSL with initial version 0.94
Package: survivalSL
Title: Super Learner for Survival Prediction from Censored Data
Version: 0.94
Depends: R (>= 4.0.0), splines, survival
Imports: date, graphics, MASS, glmnet, caret, flexsurv, randomForestSRC, hdnom, glmnetUtils, dplyr, rpart, methods
Suggests: reticulate, survivalmodels
Description: Several functions and S3 methods to construct a super learner in the presence of censored times-to-event and to evaluate its prognostic capacities.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
BugReports: https://github.com/foucher-y/survivalSL/issues
Packaged: 2024-03-19 21:42:06 UTC; foucher-y
Author: Yohann Foucher [aut, cre] , Camille Sabathe [aut]
Maintainer: Yohann Foucher <yohann.foucher@univ-poitiers.fr>
Repository: CRAN
Date/Publication: 2024-03-19 22:40:02 UTC

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Package RJDemetra updated to version 0.2.6 with previous version 0.2.5 dated 2024-02-03

Title: Interface to 'JDemetra+' Seasonal Adjustment Software
Description: Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks. It offers full access to all options and outputs of 'JDemetra+', including the two leading seasonal adjustment methods TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.
Author: Alain Quartier-la-Tente [aut, cre] , Anna Michalek [aut], Jean Palate [aut], Raf Baeyens [aut]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

Diff between RJDemetra versions 0.2.5 dated 2024-02-03 and 0.2.6 dated 2024-03-19

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Package rcens updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-07

Title: Generate Sample Censoring
Description: Provides functions to generate censored samples of type I, II and III, from any random sample generator. It also supplies the option to create left and right censorship. Along with this, the generation of samples with interval censoring is in the testing phase, with two options of fixed length intervals and random lengths.
Author: Daniel Saavedra [aut, cre, cph] , Pedro L Ramos [aut]
Maintainer: Daniel Saavedra <dlsaavedra@uc.cl>

Diff between rcens versions 0.1.0 dated 2024-03-07 and 0.1.1 dated 2024-03-19

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Package MixtureMissing updated to version 3.0.2 with previous version 3.0.1 dated 2024-01-17

Title: Robust and Flexible Model-Based Clustering for Data Sets with Missing Values at Random
Description: Implementations of various robust and flexible model-based clustering methods for data sets with missing values at random. Two main models are: Multivariate Contaminated Normal Mixture (MCNM, Tong and Tortora, 2022, <doi:10.1007/s11634-021-00476-1>) and Multivariate Generalized Hyperbolic Mixture (MGHM, Wei et al., 2019, <doi:10.1016/j.csda.2018.08.016>). Mixtures via some special or limiting cases of the multivariate generalized hyperbolic distribution are also included: Normal-Inverse Gaussian, Symmetric Normal-Inverse Gaussian, Skew-Cauchy, Cauchy, Skew-t, Student's t, Normal, Symmetric Generalized Hyperbolic, Hyperbolic Univariate Marginals, Hyperbolic, and Symmetric Hyperbolic.
Author: Hung Tong [aut, cre], Cristina Tortora [aut, ths, dgs]
Maintainer: Hung Tong <hungtongmx@gmail.com>

Diff between MixtureMissing versions 3.0.1 dated 2024-01-17 and 3.0.2 dated 2024-03-19

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Package jagshelper updated to version 0.2.2 with previous version 0.2.1 dated 2024-01-17

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 0.2.1 dated 2024-01-17 and 0.2.2 dated 2024-03-19

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Package boral updated to version 2.0.1 with previous version 2.0 dated 2021-03-12

Title: Bayesian Ordination and Regression AnaLysis
Description: Bayesian approaches for analyzing multivariate data in ecology. Estimation is performed using Markov Chain Monte Carlo (MCMC) methods via Three. JAGS types of models may be fitted: 1) With explanatory variables only, boral fits independent column Generalized Linear Models (GLMs) to each column of the response matrix; 2) With latent variables only, boral fits a purely latent variable model for model-based unconstrained ordination; 3) With explanatory and latent variables, boral fits correlated column GLMs with latent variables to account for any residual correlation between the columns of the response matrix.
Author: Francis K.C. Hui [aut, cre], Wade Blanchard [aut]
Maintainer: Francis K.C. Hui <fhui28@gmail.com>

Diff between boral versions 2.0 dated 2021-03-12 and 2.0.1 dated 2024-03-19

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New package TukeyGH77 with initial version 0.1.0
Package: TukeyGH77
Title: Tukey g-&-h Distribution
Version: 0.1.0
Date: 2024-03-18
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>
Description: Functions for density, cumulative density, quantile and simulation of Tukey g-and-h (1977) distributions. The quantile-based transformation (Hoaglin 1985 <doi:10.1002/9781118150702.ch11>) and its reverse transformation are also provided.
License: GPL-2
Depends: R (>= 4.3.0)
Imports: rstpm2, stats
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-03-18 23:43:09 UTC; tingtingzhan
Author: Tingting Zhan [aut, cre, cph], Inna Chervoneva [ctb]
Repository: CRAN
Date/Publication: 2024-03-19 20:50:05 UTC

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New package tidyrates with initial version 0.0.1
Package: tidyrates
Title: Tidy Epidemiological Rates
Version: 0.0.1
Description: Compute age-adjusted rates by direct and indirect methods and other epidemiological indicators in a tidy way, wrapping functions from the 'epitools' package.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
Imports: checkmate, dplyr, epitools, forcats, magrittr, purrr, rlang, tibble, tidyr
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
URL: https://rfsaldanha.github.io/tidyrates/
NeedsCompilation: no
Packaged: 2024-03-18 16:30:52 UTC; raphael
Author: Raphael Saldanha [aut, cre]
Maintainer: Raphael Saldanha <raphael.de-freitas-saldanha@inria.fr>
Repository: CRAN
Date/Publication: 2024-03-19 20:20:02 UTC

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New package ssd4mosaic with initial version 1.0.1
Package: ssd4mosaic
Title: Web Application for the SSD Module of the MOSAIC Platform
Version: 1.0.1
Description: Web application using 'shiny' for the SSD (Species Sensitivity Distribution) module of the MOSAIC (MOdeling and StAtistical tools for ecotoxICology) platform. It estimates the Hazardous Concentration for x% of the species (HCx) from toxicity values that can be censored and provides various plotting options for a better understanding of the results. See our companion paper Kon Kam King et al. (2014) <doi:10.48550/arXiv.1311.5772>.
License: MIT + file LICENSE
URL: https://gitlab.in2p3.fr/mosaic-software/mosaic-ssd, https://mosaic.univ-lyon1.fr/
BugReports: https://gitlab.in2p3.fr/mosaic-software/mosaic-ssd/-/issues
Depends: R (>= 4.1.0)
Imports: actuar, config (>= 0.3.1), fitdistrplus (>= 1.1-11), ggplot2, golem (>= 0.3.5), htmltools, htmlwidgets, jsonlite, rhandsontable, rlang, rmarkdown, shiny (>= 1.7.4), shinybusy, shinyjs, stats, utils
Suggests: knitr, remotes, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-18 14:28:40 UTC; milenakaag
Author: Milena Kaag [cre, aut], Sandrine Charles [aut] , UMR5558 LBBE MEPS [cph, fnd], rhandsontable contributors [ctb, cph]
Maintainer: Milena Kaag <milena.kaag@univ-lyon1.fr>
Repository: CRAN
Date/Publication: 2024-03-19 20:10:02 UTC

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New package param2moment with initial version 0.1.0
Package: param2moment
Title: Raw, Central and Standardized Moments of Parametric Distributions
Version: 0.1.0
Date: 2024-03-18
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>
Description: To calculate the raw, central and standardized moments from distribution parameters. To solve the distribution parameters based on user-provided mean, standard deviation, skewness and kurtosis. Normal, skew-normal, skew-t and Tukey g-&-h distributions are supported, for now.
License: GPL-2
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.3.0)
Imports: methods
Suggests: sn
NeedsCompilation: no
Packaged: 2024-03-18 23:49:04 UTC; tingtingzhan
Author: Tingting Zhan [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-03-19 20:50:02 UTC

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New package rqti with initial version 0.1.0
Package: rqti
Title: Create Tests According to QTI 2.1 Standard
Version: 0.1.0
Description: Create tests and tasks compliant with the Question & Test Interoperability (QTI) information model version 2.1. Input sources are Rmd/md description files or S4-class objects. Output formats include standalone zip or xml files. Supports the generation of basic task types (single and multiple choice, order, pair association, matching tables, filling gaps and essay) and provides a comprehensive set of attributes for customizing tests.
License: GPL (>= 3)
Encoding: UTF-8
Imports: htmltools, xml2, yaml, rmarkdown, servr, rstudioapi, fs, stringr, methods, lubridate, magrittr, httr2, curl, digest, knitr, getPass, keyring, zip, kableExtra
Suggests: covr, dplyr, testthat (>= 3.0.0), XML, readr
URL: https://github.com/shevandrin/rqti, https://shevandrin.github.io/rqti/
BugReports: https://github.com/shevandrin/rqti/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-03-18 13:03:11 UTC; sheva
Author: Andrey Shevandrin [aut, cre, cph] , Petr Bondarenko [ctb] , Ivonne Ojeda [ctb], Johannes Titz [aut, cph] , Brian Mottershead [cph] , Stiftung fuer Innovation in der Hochschullehre [fnd]
Maintainer: Andrey Shevandrin <shevandrin@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-19 20:00:03 UTC

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Package rjdqa updated to version 0.1.4 with previous version 0.1.3 dated 2024-02-04

Title: Quality Assessment for Seasonal Adjustment
Description: Add-in to the 'RJDemetra' package on seasonal adjustments. It allows to produce dashboards to summarise models and quickly check the quality of the seasonal adjustment.
Author: Alain Quartier-la-Tente [aut, cre]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

Diff between rjdqa versions 0.1.3 dated 2024-02-04 and 0.1.4 dated 2024-03-19

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Package reporter updated to version 1.4.4 with previous version 1.4.3 dated 2023-10-29

Title: Creates Statistical Reports
Description: Contains functions to create regulatory-style statistical reports. Originally designed to create tables, listings, and figures for the pharmaceutical, biotechnology, and medical device industries, these reports are generalized enough that they could be used in any industry. Generates text, rich-text, PDF, HTML, and Microsoft Word file formats. The package specializes in printing wide and long tables with automatic page wrapping and splitting. Reports can be produced with a minimum of function calls, and without relying on other table packages. The package supports titles, footnotes, page header, page footers, spanning headers, page by variables, and automatic page numbering.
Author: David Bosak [aut, cre], Kevin Kramer [ctb], Duong Tran [ctb], Raphael Huang [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

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New package MPCR with initial version 1.1
Package: MPCR
Title: Multi- And Mixed-Precision Computations
Version: 1.1
Date: 2024-01-22
Author: David Helmy [aut], Sameh Abdulah [cre], KAUST King Abdullah University of Science and Technology [fnd, cph]
Maintainer: Sameh Abdulah <sameh.abdulah@kaust.edu.sa>
Description: Designed for multi- and mixed-precision computations, accommodating 64-bit and 32-bit data structures. This flexibility enables fast execution across various applications. The package enhances performance by optimizing operations in both precision levels, which is achieved by integrating with high-speed 'BLAS' and 'LAPACK' libraries like 'MKL' and 'OpenBLAS'. Including a 32-bit option caters to applications where high precision is unnecessary, accelerating computational processes whenever feasible. The package also provides support for tile-based algorithms in three linear algebra operations: CHOL(), TRSM(), and GEMM(). The tile-based algorithm splits the matrix into smaller tiles, facilitating parallelization through a predefined Directed Acyclic Graph (DAG) for each operation. Enabling 'OpenMP' enhances the efficiency of these operations, leveraging multi-core parallelism. In this case, 'MPCR' facilitates mixed-precision execution by permitting varying precision levels for different [...truncated...]
License: GPL (>= 3)
Imports: methods, Rcpp (>= 1.0.9)
Depends: R (>= 3.6.0)
SystemRequirements: CMake (>=3.20) , C++ (>= 11)
NeedsCompilation: yes
OS_type: unix
URL: https://github.com/stsds/MPCR
BugReports: https://github.com/stsds/MPCR/issues
Packaged: 2024-02-22 08:48:16 UTC; david
Repository: CRAN
Date/Publication: 2024-03-19 19:40:02 UTC

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Package mggd updated to version 1.2.3 with previous version 1.1.0 dated 2023-03-22

Title: Multivariate Generalised Gaussian Distribution; Kullback-Leibler Divergence
Description: Distance between multivariate generalised Gaussian distributions, as presented by N. Bouhlel and A. Dziri (2019) <doi:10.1109/LSP.2019.2915000>. Manipulation of multivariate generalised Gaussian distributions (methods presented by Gomez, Gomez-Villegas and Marin (1998) <doi:10.1080/03610929808832115> and Pascal, Bombrun, Tourneret and Berthoumieu (2013) <doi:10.1109/TSP.2013.2282909>).
Author: Pierre Santagostini [aut, cre], Nizar Bouhlel [aut]
Maintainer: Pierre Santagostini <pierre.santagostini@agrocampus-ouest.fr>

Diff between mggd versions 1.1.0 dated 2023-03-22 and 1.2.3 dated 2024-03-19

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Package phyloraster updated to version 2.1.0 with previous version 2.0.1 dated 2023-11-28

Title: Evolutionary Diversity Metrics for Raster Data
Description: Phylogenetic Diversity (PD, Faith 1992), Evolutionary Distinctiveness (ED, Isaac et al. 2007), Phylogenetic Endemism (PE, Rosauer et al. 2009; Laffan et al. 2016), and Weighted Endemism (WE, Laffan et al. 2016) for presence-absence raster. Faith, D. P. (1992) <doi:10.1016/0006-3207(92)91201-3> Isaac, N. J. et al. (2007) <doi:10.1371/journal.pone.0000296> Laffan, S. W. et al. (2016) <doi:10.1111/2041-210X.12513> Rosauer, D. et al. (2009) <doi:10.1111/j.1365-294X.2009.04311.x>.
Author: Gabriela Alves-Ferreira [aut, cre, cph] , Flavio M. M. Mota [aut] , Neander Marcel Heming [aut]
Maintainer: Gabriela Alves-Ferreira <gabriela-alves77@hotmail.com>

Diff between phyloraster versions 2.0.1 dated 2023-11-28 and 2.1.0 dated 2024-03-19

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Package idbr updated to version 1.2 with previous version 1.0 dated 2021-04-11

Title: R Interface to the US Census Bureau International Data Base API
Description: Use R to make requests to the US Census Bureau's International Data Base API. Results are returned as R data frames. For more information about the IDB API, visit <https://www.census.gov/data/developers/data-sets/international-database.html>.
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle.walker@tcu.edu>

Diff between idbr versions 1.0 dated 2021-04-11 and 1.2 dated 2024-03-19

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Package vegan3d updated to version 1.3-0 with previous version 1.2-0 dated 2023-02-03

Title: Static and Dynamic 3D and Editable Interactive Plots for the 'vegan' Package
Description: Static and dynamic 3D plots to be used with ordination results and in diversity analysis, especially with the vegan package.
Author: Jari Oksanen [aut, cre], Roeland Kindt [aut], Gavin L. Simpson [aut], Duncan Murdoch [ctb]
Maintainer: Jari Oksanen <jhoksane@gmail.com>

Diff between vegan3d versions 1.2-0 dated 2023-02-03 and 1.3-0 dated 2024-03-19

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Package psychTools updated to version 2.4.3 with previous version 2.4.2 dated 2024-01-17

Title: Tools to Accompany the 'psych' Package for Psychological Research
Description: Support functions, data sets, and vignettes for the 'psych' package. Contains several of the biggest data sets for the 'psych' package as well as four vignettes. A few helper functions for file manipulation are included as well. For more information, see the <https://personality-project.org/r/> web page.
Author: William Revelle [aut, cre]
Maintainer: William Revelle <revelle@northwestern.edu>

Diff between psychTools versions 2.4.2 dated 2024-01-17 and 2.4.3 dated 2024-03-19

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Package MAGMA.R updated to version 1.0.1 with previous version 1.0 dated 2024-02-09

Title: MAny-Group MAtching
Description: Balancing quasi-experimental field research for effects of covariates is fundamental for drawing causal inference. Propensity Score Matching deals with this issue but current techniques are restricted to binary treatment variables. Moreover, they provide several solutions without providing a comprehensive framework on choosing the best model. The 'MAGMA.R' -package addresses these restrictions by offering nearest neighbor matching for two to four groups. It also includes the option to match data of a 2x2 design. In addition, 'MAGMA.R' includes a framework for evaluating the post-matching balance. The package includes functions for the matching process and matching reporting. We provide a tutorial on 'MAGMA.R' as vignette. More information on 'MAGMA.R' can be found in Feuchter, M. D., Urban, J., Scherrer V., Breit, M. L., and Preckel F. (2022) <https://osf.io/p47nc/>.
Author: Julian Urban [aut, cre], Markus D. Feuchter [aut], Vsevolod Scherrer [aut], Moritz L. Breit [aut], Franzis Preckel [aut]
Maintainer: Julian Urban <urbanj@uni-trier.de>

Diff between MAGMA.R versions 1.0 dated 2024-02-09 and 1.0.1 dated 2024-03-19

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Package getspanel updated to version 0.2.0 with previous version 0.1.5 dated 2023-10-19

Title: General-to-Specific Modelling of Panel Data
Description: Uses several types of indicator saturation and automated General-to-Specific (GETS) modelling from the 'gets' package and applies it to panel data. This allows the detection of structural breaks in panel data, operationalising a reverse causal approach of causal inference, see Pretis and Schwarz (2022) <doi:10.2139/ssrn.4022745>.
Author: Felix Pretis [aut], Moritz Schwarz [aut, cre]
Maintainer: Moritz Schwarz <moritz.schwarz@scmo.eu>

Diff between getspanel versions 0.1.5 dated 2023-10-19 and 0.2.0 dated 2024-03-19

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New package survivalmodels with initial version 0.1.191
Package: survivalmodels
Title: Models for Survival Analysis
Version: 0.1.191
Description: Implementations of classical and machine learning models for survival analysis, including deep neural networks via 'keras' and 'tensorflow'. Each model includes a separated fit and predict interface with consistent prediction types for predicting risk or survival probabilities. Models are either implemented from 'Python' via 'reticulate' <https://CRAN.R-project.org/package=reticulate>, from code in GitHub packages, or novel implementations using 'Rcpp' <https://CRAN.R-project.org/package=Rcpp>. Neural networks are implemented from the 'Python' package 'pycox' <https://github.com/havakv/pycox>.
License: MIT + file LICENSE
URL: https://github.com/RaphaelS1/survivalmodels/
BugReports: https://github.com/foucher-y/survivalmodels/issues
Imports: Rcpp (>= 1.0.5)
Suggests: keras (>= 2.11.0), pseudo, reticulate, survival
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-03-18 21:10:19 UTC; foucher-y
Author: Raphael Sonabend [aut] , Yohann Foucher [cre]
Maintainer: Yohann Foucher <yohann.foucher@univ-poitiers.fr>
Repository: CRAN
Date/Publication: 2024-03-19 16:50:03 UTC

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Package quantileDA updated to version 1.2 with previous version 1.1 dated 2016-02-02

Title: Quantile Classifier
Description: Code for centroid, median and quantile classifiers.
Author: Marco Berrettini, Christian Hennig, Cinzia Viroli
Maintainer: Cinzia Viroli <cinzia.viroli@unibo.it>

Diff between quantileDA versions 1.1 dated 2016-02-02 and 1.2 dated 2024-03-19

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New package pcutils with initial version 0.2.5
Package: pcutils
Title: Some Useful Functions for Statistics and Visualization
Version: 0.2.5
Description: Offers a range of utilities and functions for everyday programming tasks. 1.Data Manipulation. Such as grouping and merging, column splitting, and character expansion. 2.File Handling. Read and convert files in popular formats. 3.Plotting Assistance. Helpful utilities for generating color palettes, validating color formats, and adding transparency. 4.Statistical Analysis. Includes functions for pairwise comparisons and multiple testing corrections, enabling perform statistical analyses with ease. 5.Graph Plotting, Provides efficient tools for creating doughnut plot and multi-layered doughnut plot; Venn diagrams, including traditional Venn diagrams, upset plots, and flower plots; Simplified functions for creating stacked bar plots, or a box plot with alphabets group for multiple comparison group.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, magrittr, ggplot2, stats, utils, grDevices, reshape2, scales, tools, tidyr, tibble, RColorBrewer, graphics
Suggests: agricolae, clipr, rlang, BiocManager, ggpubr, kableExtra, htmlwidgets, pagedown, ggsci, readr, grImport2, rsvg, PMCMRplus, nortest, fitdistrplus, ggalluvial, gghalves, ggspatial, sf, magick, ggimage, ggpmisc, UpSetR, plotrix, vegan, circlize, igraph, knitr, rmarkdown, plotly, htmltools, leaflet, relaimpo, snow, doSNOW, foreach, stringr, ggraph, ggrepel, treemap, voronoiTreemap, devtools, multcompView, rio, bookdown, sysfonts, showtext, jsonlite, httr, openssl, styler, lintr, aplot, ggbeeswarm, ggVennDiagram, gifski
BugReports: https://github.com/Asa12138/pcutils/issues
URL: https://github.com/Asa12138/pcutils
Date/Publication: 2024-03-19 16:50:07 UTC
NeedsCompilation: no
Packaged: 2024-03-19 08:11:59 UTC; asa
Author: Chen Peng [aut, cre]
Maintainer: Chen Peng <pengchen2001@zju.edu.cn>
Repository: CRAN

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New package lrstat with initial version 0.2.4
Package: lrstat
Title: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
Version: 0.2.4
Date: 2024-03-18
Author: Kaifeng Lu
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>
Description: Performs power and sample size calculation for non-proportional hazards model using the Fleming-Harrington family of weighted log-rank tests. The sequentially calculated log-rank test score statistics are assumed to have independent increments as characterized in Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean and variance of log-rank test score statistics are calculated based on Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities are calculated using the recursive integration algorithm described in Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168). The package can also be used for continuous, binary, and count data. For continuous data, it can handle missing data through mixed-model for repeated measures (MMRM). In crossover designs, it can estimate direct treatment effects while accounting for carryover effects. For binary data, it can design Simon's 2-stage, modified toxicity probability-2 (mTPI-2), a [...truncated...]
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.9), mvtnorm (>= 1.1-3), lpSolve (>= 5.6.1), shiny (>= 1.7.1)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), dplyr, tidyr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-03-19 03:33:02 UTC; kaife
Repository: CRAN
Date/Publication: 2024-03-19 16:50:11 UTC

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Package gausscov updated to version 1.1.2 with previous version 1.1.1 dated 2024-03-04

Title: The Gaussian Covariate Method for Variable Selection
Description: The standard linear regression theory whether frequentist or Bayesian is based on an 'assumed (revealed?) truth' (John Tukey) attitude to models. This is reflected in the language of statistical inference which involves a concept of truth, for example confidence intervals, hypothesis testing and consistency. The motivation behind this package was to remove the word true from the theory and practice of linear regression and to replace it by approximation. The approximations considered are the least squares approximations. An approximation is called valid if it contains no irrelevant covariates. This is operationalized using the concept of a Gaussian P-value which is the probability that pure Gaussian noise is better in term of least squares than the covariate. The precise definition given in the paper, it is intuitive and requires only four simple equations. Its overwhelming advantage compared with a standard F P-value is that is is exact and valid whatever the data. In contrast F P [...truncated...]
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <pldavies44@cantab.net>

Diff between gausscov versions 1.1.1 dated 2024-03-04 and 1.1.2 dated 2024-03-19

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Package dendRoAnalyst updated to version 0.1.5 with previous version 0.1.4 dated 2022-11-15

Title: A Tool for Processing and Analyzing Dendrometer Data
Description: There are various functions for managing and cleaning data before the application of different approaches. This includes identifying and erasing sudden jumps in dendrometer data not related to environmental change, identifying the time gaps of recordings, and changing the temporal resolution of data to different frequencies. Furthermore, the package calculates daily statistics of dendrometer data, including the daily amplitude of tree growth. Various approaches can be applied to separate radial growth from daily cyclic shrinkage and expansion due to uptake and loss of stem water. In addition, it identifies periods of consecutive days with user-defined climatic conditions in daily meteorological data, then check what trees are doing during that period.
Author: Sugam Aryal [aut, cre, dtc], Martin Haeusser [aut], Jussi Griessinger [aut], Ze-Xin Fan [aut], Achim Braeuning [aut, dgs]
Maintainer: Sugam Aryal <sugam.aryal@fau.de>

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More information about dendRoAnalyst at CRAN
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Package dbplyr updated to version 2.5.0 with previous version 2.4.0 dated 2023-10-26

Title: A 'dplyr' Back End for Databases
Description: A 'dplyr' back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features works with any database that has a 'DBI' back end; more advanced features require 'SQL' translation to be provided by the package author.
Author: Hadley Wickham [aut, cre], Maximilian Girlich [aut], Edgar Ruiz [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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More information about dbplyr at CRAN
Permanent link

New package bsitar with initial version 0.2.1
Package: bsitar
Title: Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis
Version: 0.2.1
Maintainer: Satpal Sandhu <satpal.sandhu@bristol.ac.uk>
Description: The Super Imposition by Translation and Rotation (SITAR) model is a shape-invariant nonlinear mixed effect model that fits a natural cubic spline mean curve to the growth data, and aligns individual-specific growth curves to the underlying mean curve via a set of random effects (see Cole, 2010 <doi:10.1093/ije/dyq115> for details). The non-Bayesian version of the SITAR model can be fit by using an already available R package 'sitar'. While 'sitar' package allows modelling of a single outcome only, the 'bsitar' package offers a great flexibility in fitting models of varying complexities that include joint modelling of multiple outcomes such as height and weight (multivariate model). Also, the 'bsitar' package allows simultaneous analysis of a single outcome separately for sub groups defined by a factor variable such as gender. This is achieved by fitting separate models for each sub group (such as males and females for gender variable). An advantage of such approach is that poster [...truncated...]
License: GPL-2
Depends: R (>= 3.6)
Imports: brms (>= 2.17.0), rstan (>= 2.26.0), loo (>= 2.7.0), dplyr (>= 1.1.3), rlang (>= 1.1.2), Rdpack (>= 2.5), insight (>= 0.19.7), marginaleffects (>= 0.18.0), sitar, magrittr, methods, utils
Suggests: ggplot2 (>= 3.4.0), bayesplot (>= 1.11.0), posterior (>= 1.3.1), testthat (>= 3.0.0), collapse (>= 2.0.3), tidyr, nlme, purrr, future, future.apply, forcats, jtools, patchwork, tibble, pracma, extraDistr, bookdown, knitr, kableExtra, rmarkdown, spelling, Hmisc, R.rsp, graphics, grDevices, ggtext, glue, stats
URL: https://github.com/Sandhu-SS/bsitar
BugReports: https://github.com/Sandhu-SS/bsitar/issues
Additional_repositories:
VignetteBuilder: knitr, R.rsp
Encoding: UTF-8
LazyData: true
LazyLoad: no
LazyDataCompression: xz
NeedsCompilation: no
Language: en-US
Packaged: 2024-03-19 11:52:17 UTC; drsat
Author: Satpal Sandhu [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-03-19 17:00:08 UTC

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Package bioregion updated to version 1.1.0 with previous version 1.0.0 dated 2023-04-14

Title: Comparison of Bioregionalisation Methods
Description: The main purpose of this package is to propose a transparent methodological framework to compare bioregionalisation methods based on hierarchical and non-hierarchical clustering algorithms (Kreft & Jetz (2010) <doi:10.1111/j.1365-2699.2010.02375.x>) and network algorithms (Lenormand et al. (2019) <doi:10.1002/ece3.4718> and Leroy et al. (2019) <doi:10.1111/jbi.13674>).
Author: Maxime Lenormand [aut, cre] , Boris Leroy [aut] , Pierre Denelle [aut]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>

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Package netgwas updated to version 1.14.3 with previous version 1.14.2 dated 2023-08-07

Title: Network-Based Genome Wide Association Studies
Description: A multi-core R package that contains a set of tools based on copula graphical models for accomplishing the three interrelated goals in genetics and genomics in an unified way: (1) linkage map construction, (2) constructing linkage disequilibrium networks, and (3) exploring high-dimensional genotype-phenotype network and genotype- phenotype-environment interactions networks. The 'netgwas' package can deal with biparental inbreeding and outbreeding species with any ploidy level, namely diploid (2 sets of chromosomes), triploid (3 sets of chromosomes), tetraploid (4 sets of chromosomes) and so on. We target on high-dimensional data where number of variables p is considerably larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output. The 'netgwas' implements the methodological developments in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287> and Behrouzi and Wit (2017) <doi:10.1093/bioinformatics/bty777>.
Author: Pariya Behrouzi [aut, cre] , Ernst C. Wit [ctb]
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>

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Package ivo.table updated to version 0.4.1 with previous version 0.4 dated 2024-02-06

Title: Nicely Formatted Contingency Tables and Frequency Tables
Description: Nicely formatted frequency tables and contingency tables (1-way, 2-way, 3-way and 4-way tables), that can easily be exported to HTML or 'Office' documents. Designed to work with pipes.
Author: Mans Thulin [aut, cre], Kajsa Grind [aut], Stefan Furne [aut]
Maintainer: Mans Thulin <mans@statistikkonsult.com>

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Package welo updated to version 0.1.4 with previous version 0.1.3 dated 2023-01-05

Title: Weighted and Standard Elo Rates
Description: Estimates the standard and weighted Elo (WElo, Angelini et al., 2022 <doi:10.1016/j.ejor.2021.04.011>) rates. The current version provides Elo and WElo rates for tennis, according to different systems of weights (games or sets) and scale factors (constant, proportional to the number of matches, with more weight on Grand Slam matches or matches played on a specific surface). Moreover, the package gives the possibility of estimating the (bootstrap) standard errors for the rates. Finally, the package includes betting functions that automatically select the matches on which place a bet.
Author: Vincenzo Candila [aut, cre]
Maintainer: Vincenzo Candila <vcandila@unisa.it>

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Package Surrogate updated to version 3.2.5 with previous version 3.2.4 dated 2024-02-29

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration (Grant Agreement no 602552), the Special Research Fund (BOF) of Hasselt University (BOF-number: BOF2OCPO3), GlaxoSmithKline Biologicals, Baekeland Mandaat (HBC.2022.0145), and Johnson & Johnson Innovative Medicine.
Author: Wim Van Der Elst [cre, aut], Florian Stijven [aut], Fenny Ong [aut], Paul Meyvisch [aut], Alvaro Poveda [aut], Ariel Alonso [aut], Hannah Ensor [aut], Christoper Weir [aut], Geert Molenberghs [aut]
Maintainer: Wim Van Der Elst <wim.vanderelst@gmail.com>

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Package gadget3 updated to version 0.11-1 with previous version 0.10-1 dated 2023-08-24

Title: Globally-Applicable Area Disaggregated General Ecosystem Toolbox V3
Description: A framework to assist creation of marine ecosystem models, generating either 'R' or 'C++' code which can then be optimised using the 'TMB' package and standard 'R' tools. Principally designed to reproduce gadget2 models in 'TMB', but can be extended beyond gadget2's capabilities. Kasper Kristensen, Anders Nielsen, Casper W. Berg, Hans Skaug, Bradley M. Bell (2016) <doi:10.18637/jss.v070.i05> "TMB: Automatic Differentiation and Laplace Approximation.". Begley, J., & Howell, D. (2004) <https://core.ac.uk/download/pdf/225936648.pdf> "An overview of Gadget, the globally applicable area-disaggregated general ecosystem toolbox. ICES.".
Author: Jamie Lentin [aut, cre] , Bjarki Thor Elvarsson [aut] , William Butler [aut] , Marine and Freshwater Research Institute [cph]
Maintainer: Jamie Lentin <lentinj@shuttlethread.com>

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Package fastcpd updated to version 0.12.2 with previous version 0.12.1 dated 2024-03-12

Title: Fast Change Point Detection via Sequential Gradient Descent
Description: Implements fast change point detection algorithm based on the paper "Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis" by Xianyang Zhang, Trisha Dawn <https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is based on dynamic programming with pruning and sequential gradient descent. It is able to detect change points a magnitude faster than the vanilla Pruned Exact Linear Time(PELT). The package includes examples of linear regression, logistic regression, Poisson regression, penalized linear regression data, and whole lot more examples with custom cost function in case the user wants to use their own cost function.
Author: Xingchi Li [aut, cre, cph] , Xianyang Zhang [aut, cph], Trisha Dawn [aut, cph]
Maintainer: Xingchi Li <anthony.li@stat.tamu.edu>

Diff between fastcpd versions 0.12.1 dated 2024-03-12 and 0.12.2 dated 2024-03-19

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Package drought updated to version 1.2 with previous version 1.1 dated 2022-01-16

Title: Statistical Modeling and Assessment of Drought
Description: Provide tools for drought monitoring based on univariate and multivariate drought indicators.Statistical drought prediction based on Ensemble Streamflow Prediction (ESP), drought risk assessments, and drought propagation are also provided. Please see Hao Zengchao et al. (2017) <doi:10.1016/j.envsoft.2017.02.008>.
Author: Zengchao Hao
Maintainer: Zengchao Hao <z.hao4univ@gmail.com>

Diff between drought versions 1.1 dated 2022-01-16 and 1.2 dated 2024-03-19

 DESCRIPTION           |   10 +++---
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More information about drought at CRAN
Permanent link

Package stopp updated to version 0.2.0 with previous version 0.1.1 dated 2023-07-03

Title: Spatio-Temporal Point Pattern Methods, Model Fitting, Diagnostics, Simulation, Local Tests
Description: Toolbox for different kinds of spatio-temporal analyses to be performed on observed point patterns, following the growing stream of literature on point process theory. This R package implements functions to perform different kinds of analyses on point processes, proposed in the papers (Siino, Adelfio, and Mateu 2018<doi:10.1007/s00477-018-1579-0>; Siino et al. 2018<doi:10.1002/env.2463>; Adelfio et al. 2020<doi:10.1007/s00477-019-01748-1>; D’Angelo, Adelfio, and Mateu 2021<doi:10.1016/j.spasta.2021.100534>; D’Angelo, Adelfio, and Mateu 2022<doi:10.1007/s00362-022-01338-4>; D’Angelo, Adelfio, and Mateu 2023<doi:10.1016/j.csda.2022.107679>). The main topics include modeling, statistical inference, and simulation issues on spatio-temporal point processes on Euclidean space and linear networks.
Author: Nicoletta D'Angelo [aut, cre] , Giada Adelfio [aut]
Maintainer: Nicoletta D'Angelo <nicoletta.dangelo@unipa.it>

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More information about stopp at CRAN
Permanent link

Package MSCMT updated to version 1.4.0 with previous version 1.3.9 dated 2023-11-29

Title: Multivariate Synthetic Control Method Using Time Series
Description: Three generalizations of the synthetic control method (which has already an implementation in package 'Synth') are implemented: first, 'MSCMT' allows for using multiple outcome variables, second, time series can be supplied as economic predictors, and third, a well-defined cross-validation approach can be used. Much effort has been taken to make the implementation as stable as possible (including edge cases) without losing computational efficiency. A detailed description of the main algorithms is given in Becker and Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>.
Author: Martin Becker [aut, cre] , Stefan Kloessner [aut], Karline Soetaert [com], Jack Dongarra [cph], R.J. Hanson [cph], K.H. Haskell [cph], Cleve Moler [cph], LAPACK authors [cph]
Maintainer: Martin Becker <martin.becker@mx.uni-saarland.de>

Diff between MSCMT versions 1.3.9 dated 2023-11-29 and 1.4.0 dated 2024-03-19

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Package statgenGxE updated to version 1.0.7 with previous version 1.0.6 dated 2023-12-12

Title: Genotype by Environment (GxE) Analysis
Description: Analysis of multi environment data of plant breeding experiments following the analyses described in Malosetti, Ribaut, and van Eeuwijk (2013), <doi:10.3389/fphys.2013.00044>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r>).
Author: Bart-Jan van Rossum [aut, cre], Fred van Eeuwijk [ctb] , Martin Boer [ctb], Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie J Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Willem Kruijer [ctb] , Ron Wehrens [ctb] , Choazhi Zh [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

Diff between statgenGxE versions 1.0.6 dated 2023-12-12 and 1.0.7 dated 2024-03-19

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Package PRECAST updated to version 1.6.5 with previous version 1.6.4 dated 2024-01-25

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 <liuweideng@gmail.com>

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Package maxlike updated to version 0.1-11 with previous version 0.1-10 dated 2023-09-17

Title: Model Species Distributions by Estimating the Probability of Occurrence Using Presence-Only Data
Description: Provides a likelihood-based approach to modeling species distributions using presence-only data. In contrast to the popular software program MAXENT, this approach yields estimates of the probability of occurrence, which is a natural descriptor of a species' distribution.
Author: Richard Chandler, Andy Royle and Roeland Kindt
Maintainer: Roeland Kindt <RoelandCEKindt@gmail.com>

Diff between maxlike versions 0.1-10 dated 2023-09-17 and 0.1-11 dated 2024-03-19

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Package DR.SC updated to version 3.4 with previous version 3.3 dated 2023-08-09

Title: Joint Dimension Reduction and Spatial Clustering
Description: Joint dimension reduction and spatial clustering is conducted for Single-cell RNA sequencing and spatial transcriptomics data, and more details can be referred to Wei Liu, Xu Liao, Yi Yang, Huazhen Lin, Joe Yeong, Xiang Zhou, Xingjie Shi and Jin Liu. (2022) <doi:10.1093/nar/gkac219>. It is not only computationally efficient and scalable to the sample size increment, but also is capable of choosing the smoothness parameter and the number of clusters as well.
Author: Wei Liu [aut, cre], Yi Yang [aut], Jin Liu [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>

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Package GGIR updated to version 3.0-9 with previous version 3.0-6 dated 2024-02-22

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://theactigraph.com> devices, and binary (.cwa) and .csv-export data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.
Author: Vincent T van Hees [aut, cre], Jairo H Migueles [aut] , Severine Sabia [ctb], Matthew R Patterson [ctb], Zhou Fang [ctb], Joe Heywood [ctb], Joan Capdevila Pujol [ctb], Lena Kushleyeva [ctb], Mathilde Chen [ctb], Manasa Yerramalla [ctb], Patrick Bos [...truncated...]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package easy.utils updated to version 0.0.4 with previous version 0.0.3 dated 2023-10-17

Title: Frequently Used Functions for Easy R Programming
Description: Some utility functions for validation, data manipulation or color palettes. These functions can be helpful to reduce internal codes everywhere in package development.
Author: Yuchen Li [aut, cre]
Maintainer: Yuchen Li <ycli1995@outlook.com>

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Package qtlpoly (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:

2022-01-12 0.2.3
2021-11-10 0.2.2

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