Wed, 11 Jun 2025

Package fwb updated to version 0.4.0 with previous version 0.3.0 dated 2025-03-03

Title: Fractional Weighted Bootstrap
Description: An implementation of the fractional weighted bootstrap to be used as a drop-in for functions in the 'boot' package. The fractional weighted bootstrap (also known as the Bayesian bootstrap) involves drawing weights randomly that are applied to the data rather than resampling units from the data. See Xu et al. (2020) <doi:10.1080/00031305.2020.1731599> for details.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between fwb versions 0.3.0 dated 2025-03-03 and 0.4.0 dated 2025-06-11

 DESCRIPTION                  |   20 +--
 MD5                          |   44 +++---
 NAMESPACE                    |   12 +
 NEWS.md                      |   14 ++
 R/fwb.R                      |  116 ++++++++++++-----
 R/fwb.ci.R                   |  284 +++++++++++++++++++++++--------------------
 R/plot.fwb.R                 |   22 +--
 R/summary.fwb.R              |    6 
 R/utils.R                    |   54 ++++++++
 R/vcovFWB.R                  |  122 ++++++++++++++----
 R/weighted-statistics.R      |only
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 build/stage23.rdb            |binary
 build/vignette.rds           |binary
 inst/doc/fwb-rep.Rmd         |   38 +++--
 inst/doc/fwb-rep.html        |  135 ++++++++++----------
 man/fwb-package.Rd           |    2 
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 vignettes/fwb-rep.Rmd        |   38 +++--
 25 files changed, 616 insertions(+), 352 deletions(-)

More information about fwb at CRAN
Permanent link

Package Luminescence updated to version 1.1.0 with previous version 1.0.1 dated 2025-03-07

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

Diff between Luminescence versions 1.0.1 dated 2025-03-07 and 1.1.0 dated 2025-06-11

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 Luminescence-1.1.0/Luminescence/R/analyse_Al2O3C_CrossTalk.R                          |    5 
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 Luminescence-1.1.0/Luminescence/R/apply_CosmicRayRemoval.R                            |   38 
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 Luminescence-1.1.0/Luminescence/R/calc_gSGC.R                                         |  100 
 Luminescence-1.1.0/Luminescence/R/calc_gSGC_feldspar.R                                |   17 
 Luminescence-1.1.0/Luminescence/R/convert_Activity2Concentration.R                    |    3 
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 Luminescence-1.1.0/Luminescence/R/convert_Wavelength2Energy.R                         |    4 
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 Luminescence-1.1.0/Luminescence/R/get_Quote.R                                         |    2 
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Package AudioScatter updated to version 1.1.0 with previous version 0.1.0 dated 2025-06-05

Title: Audiogram Scattergrams
Description: Creates pre- and post- intervention scattergrams based on audiometric data. These scattergrams are formatted for publication in Otology & Neurotology and other otolaryngology journals. For more details, see Gurgel et al (2012) <doi:10.1177/0194599812458401>, Oghalai and Jackler (2016) <doi:10.1177/0194599816638314>.
Author: Dorothy W. Pan [aut, cre], John S. Oghalai [aut]
Maintainer: Dorothy W. Pan <dorothy.pan@med.usc.edu>

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Package HIMA updated to version 2.3.2 with previous version 2.3.1 dated 2025-01-27

Title: High-Dimensional Mediation Analysis
Description: Allows to estimate and test high-dimensional mediation effects based on advanced mediator screening and penalized regression techniques. Methods used in the package refer to Zhang H, Zheng Y, Zhang Z, Gao T, Joyce B, Yoon G, Zhang W, Schwartz J, Just A, Colicino E, Vokonas P, Zhao L, Lv J, Baccarelli A, Hou L, Liu L. Estimating and Testing High-dimensional Mediation Effects in Epigenetic Studies. Bioinformatics. (2016) <doi:10.1093/bioinformatics/btw351>. PMID: 27357171.
Author: Yinan Zheng [aut, cre] , Haixiang Zhang [aut], Lifang Hou [aut], Lei Liu [aut, cph]
Maintainer: Yinan Zheng <y-zheng@northwestern.edu>

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Package StempCens updated to version 1.2.0 with previous version 1.1.0 dated 2020-10-21

Title: Spatio-Temporal Estimation and Prediction for Censored/Missing Responses
Description: It estimates the parameters of spatio-temporal models with censored or missing data using the SAEM algorithm (Delyon et al., 1999). This algorithm is a stochastic approximation of the widely used EM algorithm and is particularly valuable for models in which the E-step lacks a closed-form expression. It also provides a function to compute the observed information matrix using the method developed by Louis (1982). To assess the performance of the fitted model, case-deletion diagnostics are provided.
Author: Larissa A. Matos [aut, cre] , Katherine L. Valeriano [aut] , Victor H. Lachos [ctb]
Maintainer: Larissa A. Matos <larissa.amatos@gmail.com>

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Package multifear updated to version 0.1.4 with previous version 0.1.3 dated 2023-09-23

Title: Multiverse Analyses for Conditioning Data
Description: A suite of functions for performing analyses, based on a multiverse approach, for conditioning data. Specifically, given the appropriate data, the functions are able to perform t-tests, analyses of variance, and mixed models for the provided data and return summary statistics and plots. The function is also able to return for all those tests p-values, confidence intervals, and Bayes factors. The methods are described in Lonsdorf, Gerlicher, Klingelhofer-Jens, & Krypotos (2022) <doi:10.1016/j.brat.2022.104072>.
Author: Angelos-Miltiadis Krypotos [aut, cre, cph]
Maintainer: Angelos-Miltiadis Krypotos <amkrypotos@gmail.com>

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Package cpfa updated to version 1.2-0 with previous version 1.1-9 dated 2025-05-23

Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array. See Harshman and Lundy (1994): <doi:10.1016/0167-9473(94)90132-5>. Uses component weights from one mode of a Parafac or Parafac2 model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Allows for constraints on different tensor modes. Supports penalized logistic regression, support vector machine, random forest, feed-forward neural network, regularized discriminant analysis, and gradient boosting machine. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Implements parallel computing via the 'parallel' and 'doParallel' packages.
Author: Matthew A. Snodgress [aut, cre]
Maintainer: Matthew A. Snodgress <mattgress@protonmail.ch>

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Package simtrial updated to version 1.0.0 with previous version 0.4.2 dated 2024-11-18

Title: Clinical Trial Simulation
Description: Provides some basic routines for simulating a clinical trial. The primary intent is to provide some tools to generate trial simulations for trials with time to event outcomes. Piecewise exponential failure rates and piecewise constant enrollment rates are the underlying mechanism used to simulate a broad range of scenarios such as those presented in Lin et al. (2020) <doi:10.1080/19466315.2019.1697738>. However, the basic generation of data is done using pipes to allow maximum flexibility for users to meet different needs.
Author: Keaven Anderson [aut], Yujie Zhao [aut, cre], John Blischak [aut], Nan Xiao [ctb], Yilong Zhang [aut], Jianxiao Yang [ctb], Lili Ling [ctb], Xintong Li [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Yalin Zhu [ctb], Heng Zhou [ctb], Amin Sh [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package ggtibble updated to version 1.0.2 with previous version 1.0.1 dated 2024-06-19

Title: Create Tibbles and Lists of 'ggplot' Figures for Reporting
Description: Create tibbles and lists of 'ggplot' figures that can be modified as easily as regular 'ggplot' figures. Typical use cases are for creating reports or web pages where many figures are needed with different data and similar formatting.
Author: Bill Denney [aut, cre]
Maintainer: Bill Denney <wdenney@humanpredictions.com>

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New package limSolve with initial version 2.0
Package: limSolve
Version: 2.0
Title: Solving Linear Inverse Models
Author: Karline Soetaert [aut, cre], Karel Van den Meersche [aut], Dick van Oevelen [aut], Charles L. Lawson [ctb] , Richard J. Hanson [ctb] , Jack Dongarra [ctb] , Cleve Moler [ctb]
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>
Depends: R (>= 2.10)
Imports: quadprog, lpSolve, MASS
Description: Functions that (1) find the minimum/maximum of a linear or quadratic function: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(a_i*x_i) subject to equality constraints Ex=f and/or inequality constraints Gx>=h, (2) sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b, (3) solve a linear system Ax=B for the unknown x. It includes banded and tridiagonal linear systems.
License: GPL
Copyright: inst/COPYRIGHTS
LazyData: yes
NeedsCompilation: yes
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Repository: CRAN
Packaged: 2025-06-11 14:45:43 UTC; karlines
Date/Publication: 2025-06-11 16:10:02 UTC

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Package gausscov updated to version 1.1.6 with previous version 1.1.5 dated 2025-02-23

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 "An Approximation Based Theory of Linear Regression". Only four simple equations are required. Moreover the Gaussian P-values can be simply derived from standard F P-values. Furthermore [...truncated...]
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <pldavies44@cantab.net>

Diff between gausscov versions 1.1.5 dated 2025-02-23 and 1.1.6 dated 2025-06-11

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New package wideRhino with initial version 1.0.2
Package: wideRhino
Title: High-Dimensional Methods via Generalised Singular Decomposition
Version: 1.0.2
Description: Construct a Canonical Variate Analysis Biplot via the Generalised Singular Value Decomposition, for cases when the number of samples is less than the number of variables. For more information on biplots, see Gower JC, Lubbe SG, Le Roux NJ (2011) <doi:10.1002/9780470973196> and for more information on the generalised singular value decomposition, see Edelman A, Wang Y (2020) <doi:10.1137/18M1234412>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: geigen, Matrix, MASS, ggplot2, dplyr
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2025-06-06 12:55:11 UTC; raeesaganey
Author: Raeesa Ganey [aut, cre]
Maintainer: Raeesa Ganey <Raeesa.ganey@wits.ac.za>
Repository: CRAN
Date/Publication: 2025-06-11 15:10:02 UTC

More information about wideRhino at CRAN
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Package spant updated to version 3.4.0 with previous version 3.3.0 dated 2025-03-28

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385>, Wilson (2025) <DOI:10.1002/mrm.30462> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

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Package semicontMANOVA updated to version 0.2 with previous version 0.1-8 dated 2024-01-10

Title: Multivariate ANalysis of VAriance with Ridge Regularization for Semicontinuous High-Dimensional Data
Description: Implements Multivariate ANalysis Of VAriance (MANOVA) parameters' inference and test with regularization for semicontinuous high-dimensional data. The method can be applied also in presence of low-dimensional data. The p-value can be obtained through asymptotic distribution or using a permutation procedure. The package gives also the possibility to simulate this type of data. Method is described in Elena Sabbioni, Claudio Agostinelli and Alessio Farcomeni (2025) A regularized MANOVA test for semicontinuous high-dimensional data. Biometrical Journal, 67:e70054. DOI <doi:10.1002/bimj.70054>, arXiv DOI <doi:10.48550/arXiv.2401.04036>.
Author: Elena Sabbioni [aut, cre] , Claudio Agostinelli [aut] , Alessio Farcomeni [aut]
Maintainer: Elena Sabbioni <elena.sabbioni@stats.ox.ac.uk>

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New package PAutilities with initial version 1.2.1
Package: PAutilities
Title: Streamline Physical Activity Research
Version: 1.2.1
Depends: R (>= 3.5.0)
Description: Functions that support a broad range of common tasks in physical activity research, including but not limited to creation of Bland-Altman plots (<doi:10.1136/bmj.313.7049.106>), metabolic calculations such as basal metabolic rate predictions (<https://europepmc.org/article/med/4044297/reloa>), demographic calculations such as age-for-body-mass-index percentile (<https://www.cdc.gov/growthcharts/cdc_charts.htm>), and analysis of bout detection algorithm performance (<https://pubmed.ncbi.nlm.nih.gov/34258524/>).
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/paulhibbing/PAutilities
BugReports: https://github.com/paulhibbing/PAutilities/issues
Imports: dplyr (>= 0.7), equivalence, ggplot2 (>= 2.2), graphics, lazyeval (>= 0.2), lubridate (>= 1.7.4), magrittr (>= 1.5), methods, reshape2, rlang (>= 0.3.1), stats, utils, Rcpp
Suggests: testthat, knitr, rmarkdown, matchingMarkets (>= 1.0.1)
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2025-06-07 20:50:48 UTC; phibbing
Author: Paul R. Hibbing [aut, cre], Centers for Disease Control and Prevention [ctb]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-11 15:30:11 UTC

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Package DeepLearningCausal updated to version 0.0.106 with previous version 0.0.104 dated 2024-07-29

Title: Causal Inference with Super Learner and Deep Neural Networks
Description: Functions to estimate Conditional Average Treatment Effects (CATE) and Population Average Treatment Effects on the Treated (PATT) from experimental or observational data using the Super Learner (SL) ensemble method and Deep neural networks. The package first provides functions to implement meta-learners such as the Single-learner (S-learner) and Two-learner (T-learner) described in KC<nzel et al. (2019) <doi:10.1073/pnas.1804597116> for estimating the CATE. The S- and T-learner are each estimated using the SL ensemble method and deep neural networks. It then provides functions to implement the Ottoboni and Poulos (2020) <doi:10.1515/jci-2018-0035> PATT-C estimator to obtain the PATT from experimental data with noncompliance by using the SL ensemble method and deep neural networks.
Author: Nguyen K. Huynh [aut, cre] , Bumba Mukherjee [aut] , Yang Yang [aut]
Maintainer: Nguyen K. Huynh <khoinguyen.huynh@r.hit-u.ac.jp>

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Package ClustBlock updated to version 4.1.1 with previous version 4.1.0 dated 2025-05-13

Title: Clustering of Datasets
Description: Hierarchical and partitioning algorithms to cluster blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. Different thresholds per cluster can be sets. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2020) <doi:10.1016/j.foodqual.2018.05.013>, Llobell, Vigneau & Qannari (2019) <doi:10.1016/j.foodqual.2019.02.017>) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2018.09.006>, Llobell, Giacalone, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2019.05.017>) are the core of this package. The CATATIS methods allows to compute some indices and tests to control the quality of CATA data. Multivariate analysis and clustering of subjects for quantitative multiblock data, CATA, RATA, Free Sorting and JAR experiments are available. Clustering of rows in [...truncated...]
Author: Fabien Llobell [aut, cre] , Evelyne Vigneau [ctb] , Veronique Cariou [ctb] , El Mostafa Qannari [ctb]
Maintainer: Fabien Llobell <fabienllobellresearch@gmail.com>

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Package modsem updated to version 1.0.9 with previous version 1.0.8 dated 2025-04-30

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) (temporarily unavailable) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8. [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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Package dndR updated to version 3.1.0 with previous version 3.0.0 dated 2025-04-02

Title: Dungeons & Dragons Functions for Players and Dungeon Masters
Description: The goal of 'dndR' is to provide a suite of Dungeons & Dragons related functions. This package is meant to be useful both to players and Dungeon Masters (DMs). Some functions apply to many tabletop role-playing games (e.g., dice rolling), but others are focused on Fifth Edition (a.k.a. "5e") and where possible both the 2014 and 2024 versions are supported.
Author: Nicholas Lyon [aut, cre, cph] , Tim Schatto-Eckrodt [aut] , Humberto Nappo [aut] , Billy Mitchell [aut]
Maintainer: Nicholas Lyon <njlyon@alumni.iastate.edu>

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Package SpatialRegimes updated to version 1.2 with previous version 1.1 dated 2022-09-30

Title: Spatial Constrained Clusterwise Regression
Description: A collection of functions for estimating spatial regimes, aggregations of neighboring spatial units that are homogeneous in functional terms. The term spatial regime, therefore, should not be understood as a synonym for cluster. More precisely, the term cluster does not presuppose any functional relationship between the variables considered, while the term regime is linked to a regressive relationship underlying the spatial process.
Author: Francesco Vidoli [aut, cre], Roberto Benedetti [aut]
Maintainer: Francesco Vidoli <fvidoli@gmail.com>

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Package ProfileLadder updated to version 0.1.2 with previous version 0.1.1 dated 2025-04-30

Title: Functional Profile Chain Ladder for Claims Reserving
Description: Functional claims reserving methods based on aggregated chain-ladder data, also known as the run-off triangle (functional) development profiles, implemented in three nonparametric algorithms (PARALLAX, REACT, and MACRAME) proposed in Maciak, Mizera, and Pešta (2022) <doi:10.1017/asb.2022.4>.
Author: Matus Maciak [aut, cre], Rastislav Matus [ctb], Ivan Mizera [aut], Michal Pesta [aut]
Maintainer: Matus Maciak <maciak@karlin.mff.cuni.cz>

Diff between ProfileLadder versions 0.1.1 dated 2025-04-30 and 0.1.2 dated 2025-06-11

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 MD5                       |    6 +++---
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 README.md                 |   18 ++++++++++++++++--
 4 files changed, 28 insertions(+), 9 deletions(-)

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Package cpop updated to version 1.0.8 with previous version 1.0.7 dated 2024-05-28

Title: Detection of Multiple Changes in Slope in Univariate Time-Series
Description: Detects multiple changes in slope using the CPOP dynamic programming approach of Fearnhead, Maidstone, and Letchford (2019) <doi:10.1080/10618600.2018.1512868>. This method finds the best continuous piecewise linear fit to data under a criterion that measures fit to data using the residual sum of squares, but penalizes complexity based on an L0 penalty on changes in slope. Further information regarding the use of this package with detailed examples can be found in Fearnhead and Grose (2024) <doi:10.18637/jss.v109.i07>.
Author: Daniel Grose [aut, cre], Paul Fearnhead [aut]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

Diff between cpop versions 1.0.7 dated 2024-05-28 and 1.0.8 dated 2025-06-11

 DESCRIPTION       |   10 +++++-----
 MD5               |   12 ++++++------
 NEWS.md           |    5 +++++
 R/cpop.R          |    7 +++++++
 build/cpop.pdf    |binary
 build/partial.rdb |binary
 build/stage23.rdb |binary
 7 files changed, 23 insertions(+), 11 deletions(-)

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New package tidyrstats with initial version 0.1.0
Package: tidyrstats
Depends: R (>= 4.1.0)
Title: Tidy Common R Statistical Functions
Version: 0.1.0
Maintainer: Brendan Ansell <ansell.b@wehi.edu.au>
Description: Provides functions to scale, log-transform and fit linear models within a 'tidyverse'-style R code framework. Intended to smooth over inconsistencies in output of base R statistical functions, allowing ease of teaching, learning and daily use. Inspired by the tidy principles used in 'broom' Robinson (2017) <doi:10.21105/joss.00341>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: broom, glue, purrr, dplyr, rlang, stringr, stats
Suggests: ggplot2, knitr, magrittr, rmarkdown
NeedsCompilation: no
Packaged: 2025-06-07 10:17:34 UTC; ansell.b
Author: Brendan Ansell [aut, cre]
Repository: CRAN
Date/Publication: 2025-06-11 13:00:02 UTC

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New package nhlscraper with initial version 0.1.1
Package: nhlscraper
Title: Scraper for National Hockey League Data
Version: 0.1.1
Description: Scrapes data from the 'NHL' API into 'tibble's. It primarily wraps endpoints documented by Zach Maludzinski (2023) <https://github.com/Zmalski/NHL-API-Reference>. It covers data from high-level multi-season summaries to low-level play-by-play logs.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite, dplyr, tibble, magrittr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/RentoSaijo/nhlscraper, https://rentosaijo.github.io/nhlscraper/
BugReports: https://github.com/RentoSaijo/nhlscraper/issues
Copyright: NHL is registered trademark of the National Hockey League
NeedsCompilation: no
Packaged: 2025-06-06 16:17:47 UTC; rsai_91
Author: Rento Saijo [aut, cre, cph] , Lars Skytte [ctb]
Maintainer: Rento Saijo <rentosaijo0527@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-11 12:40:02 UTC

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New package hassediagrams with initial version 1.0
Package: hassediagrams
Title: Hasse Diagram of the Layout Structure and Restricted Layout Structure
Version: 1.0
Date: 2025-06-01
Maintainer: Damianos Michaelides <dm3g15@soton.ac.uk>
Description: Returns a Hasse diagram of the layout structure (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918173> or the restricted layout structure (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918174> of an experimental design.
License: GPL-2
Encoding: UTF-8
URL: https://github.com/GSK-Biostatistics/hassediagrams
BugReports: https://github.com/GSK-Biostatistics/hassediagrams/issues
Imports: igraph, methods, MASS, grDevices, graphics, stats, utils
Depends: R (>= 3.5.0)
Suggests: dae, knitr, rmarkdown, jsonlite, kableExtra
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-07 10:28:50 UTC; damianosmichaelides
Author: Damianos Michaelides [aut, cre], Simon Bate [aut], Marion Chatfield [aut]
Repository: CRAN
Date/Publication: 2025-06-11 13:00:05 UTC

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New package gloBFPr with initial version 0.1.0
Package: gloBFPr
Title: Access Global Building Height Datasets
Version: 0.1.0
Description: Provides tools to access, search, and download global 3D building footprint datasets (3D-GloBFP) generated by Che et al. (2024) <doi:10.5194/essd-16-5357-2024>. The package includes functions to retrieve metadata, filter by bounding box, and download building height tiles.
License: MIT + file LICENSE
URL: https://github.com/billbillbilly/gloBFPr
BugReports: https://github.com/billbillbilly/gloBFPr/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Imports: sf, dplyr, httr2, terra, utils, rlang
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-06-07 01:31:03 UTC; xiaohaoyang
Author: Xiaohao Yang [aut, cre, cph]
Maintainer: Xiaohao Yang <xiaohaoy111@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-11 13:00:09 UTC

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Package flowmapper updated to version 0.1.4 with previous version 0.1.3 dated 2024-11-15

Title: Draw Flows (Migration, Goods, Money, Information) on 'ggplot2' Plots
Description: Adds flow maps to 'ggplot2' plots. The flow maps consist of 'ggplot2' layers which visualize the nodes as circles and the bilateral flows between the nodes as bidirectional half-arrows.
Author: Johannes Mast [aut, cre]
Maintainer: Johannes Mast <johannes.mast@dlr.de>

Diff between flowmapper versions 0.1.3 dated 2024-11-15 and 0.1.4 dated 2025-06-11

 DESCRIPTION               |   16 +-
 MD5                       |   20 ++
 NAMESPACE                 |    5 
 NEWS.md                   |    6 
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New package fEGarch with initial version 1.0.0
Package: fEGarch
Title: Estimation of a Broad Family of EGARCH Models
Version: 1.0.0
Maintainer: Dominik Schulz <dominik.schulz@uni-paderborn.de>
Description: Implement and fit a variety of models from a very broad family of exponential generalized autoregressive conditional heteroskedasticity (EGARCH) models, such as a MEGARCH (modified EGARCH), FIEGARCH (fractionally integrated EGARCH), FIMLog-GARCH (fractionally integrated modulus Log-GARCH), and more. The FIMLog-GARCH as part of the EGARCH family is discussed in Feng et al. (2023) <https://econpapers.repec.org/paper/pdnciepap/156.htm>. For convenience and the purpose of comparison, a variety of other popular GARCH-type models, like an APARCH model, a fractionally integrated APARCH (FIAPARCH) model, standard GARCH and fractionally integrated GARCH (FIGARCH) models, GJR-GARCH and FIGJR-GARCH models, TGARCH and FITGARCH models, are implemented. Models are fitted through quasi-maximum-likelihood estimation.
License: GPL-3
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5), methods
Imports: Rcpp (>= 1.0.9), Rsolnp, smoots, esemifar, zoo, stats, utils, rugarch, future, furrr, rlang, ggplot2, magrittr, cli, numDeriv
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-06-06 15:13:13 UTC; Dominik Schulz
Author: Dominik Schulz [aut, cre] , Yuanhua Feng [aut] , Christian Peitz [aut] ), Oliver Kojo Ayensu [aut] , Thomas Gries [ctb] , Sikandar Siddiqui [ctb] , Shujie Li [ctb]
Repository: CRAN
Date/Publication: 2025-06-11 12:40:06 UTC

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New package alternativeROC with initial version 0.0.12
Package: alternativeROC
Title: Alternative and Fast ROC Analysis
Version: 0.0.12
Date: 2025-06-04
Description: Alternative and fast algorithms for the analysis of receiver operating characteristics curves (ROC curves) as described in Thomas et al. (2017) <doi:10.1186/s41512-017-0017-y> and Thomas et al. (2023) <doi:10.1016/j.ajogmf.2023.101110>.
Depends: R (>= 4.0.0), stats,utils, graphics, pROC, plyr, sn, Hmisc
Suggests: roxygen2 (>= 3.1.0), testthat
Imports: Rcpp (>= 1.0.9)
LinkingTo: Rcpp
License: GPL-3
Encoding: UTF-8
URL: https://bitbucket.org/SQ4/alternativeROC
ByteCompile: true
Repository: CRAN
BugReports: https://bitbucket.org/SQ4/alternativeROC/issues
NeedsCompilation: yes
Packaged: 2025-06-07 10:37:37 UTC; GregoireThomas
Author: Gregoire Thomas [aut, cre] , Robin Tuytten [ctb] , Jef Moerman [ctb], Xavier Robin [cph] , Natacha Turck [cph] , Alexandre Hainard [cph] , Natalia Tiberti [cph] , Frederique Lisacek [cph] , Jean-Charles Sanchez [cph] , Markus Mueller [cph] , Stefan Si [...truncated...]
Maintainer: Gregoire Thomas <gregoire.thomas@SQU4RE.com>
Date/Publication: 2025-06-11 13:00:17 UTC

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Package catool updated to version 1.0.1 with previous version 1.0.0 dated 2025-06-06

Title: Compensation Analysis Tool for Instructor Overload Pay
Description: Calculates equitable overload compensation for college instructors based on institutional policies, enrollment thresholds, and regular teaching load limits. Compensation is awarded only for credit hours that exceed the regular load and meet minimum enrollment criteria. When enrollment is below a specified threshold, pay is prorated accordingly. The package prioritizes compensation from high-enrollment courses, or optionally from low-enrollment courses for fairness, depending on user-defined strategy. Includes tools for flexible policy settings, instructor filtering, and produces clean, audit-ready summary tables suitable for payroll and administrative reporting.
Author: Dawit Aberra [aut, cre]
Maintainer: Dawit Aberra <dawit3000@hotmail.com>

Diff between catool versions 1.0.0 dated 2025-06-06 and 1.0.1 dated 2025-06-11

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 README.md                                |   38 +++----
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Package camtrapdp updated to version 0.4.0 with previous version 0.3.1 dated 2024-07-05

Title: Read and Manipulate Camera Trap Data Packages
Description: Read and manipulate Camera Trap Data Packages ('Camtrap DP'). 'Camtrap DP' (<https://camtrap-dp.tdwg.org>) is a data exchange format for camera trap data. With 'camtrapdp' you can read, filter and transform data (including to Darwin Core) before further analysis in e.g. 'camtraptor' or 'camtrapR'.
Author: Peter Desmet [aut, cre] ), Sanne Govaert [aut] ), Pieter Huybrechts [aut] ), Damiano Oldoni [aut] ), Research Institute for Nature and Forest [cph] , Research Foundation - Flanders [fnd]
Maintainer: Peter Desmet <peter.desmet@inbo.be>

Diff between camtrapdp versions 0.3.1 dated 2024-07-05 and 0.4.0 dated 2025-06-11

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 camtrapdp-0.4.0/camtrapdp/tests/testthat/test-filter_media.R                         |   49 +++
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Permanent link

Package rentrez updated to version 1.2.4 with previous version 1.2.3 dated 2020-11-10

Title: 'Entrez' in R
Description: Provides an R interface to the NCBI's 'EUtils' API, allowing users to search databases like 'GenBank' <https://www.ncbi.nlm.nih.gov/genbank/> and 'PubMed' <https://pubmed.ncbi.nlm.nih.gov/>, process the results of those searches and pull data into their R sessions.
Author: David Winter [aut, cre] , Scott Chamberlain [ctb] , Han Guangchun [ctb]
Maintainer: David Winter <david.winter@gmail.com>

Diff between rentrez versions 1.2.3 dated 2020-11-10 and 1.2.4 dated 2025-06-11

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Package MBmca updated to version 1.1-0 with previous version 1.0.1-3 dated 2021-09-03

Title: Nucleic Acid Melting Curve Analysis
Description: Lightweight utilities for nucleic acid melting curve analysis are important in life sciences and diagnostics. This software can be used for the analysis and presentation of melting curve data from microbead-based assays (surface melting curve analysis) and reactions in solution (e.g., quantitative PCR (qPCR), real-time isothermal Amplification). Further information are described in detail in two publications in The R Journal [ <https://journal.r-project.org/archive/2013-2/roediger-bohm-schimke.pdf>; <https://journal.r-project.org/archive/2015-1/RJ-2015-1.pdf>].
Author: Stefan Roediger [aut] , Michal Burdukiewicz [aut] , Andrej-Nikolai Spiess [cre, aut]
Maintainer: Andrej-Nikolai Spiess <draspiess@gmail.com>

Diff between MBmca versions 1.0.1-3 dated 2021-09-03 and 1.1-0 dated 2025-06-11

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Package malariaAtlas updated to version 1.6.4 with previous version 1.6.3 dated 2024-08-26

Title: An R Interface to Open-Access Malaria Data, Hosted by the 'Malaria Atlas Project'
Description: A suite of tools to allow you to download all publicly available parasite rate survey points, mosquito occurrence points and raster surfaces from the 'Malaria Atlas Project' <https://malariaatlas.org/> servers as well as utility functions for plotting the downloaded data.
Author: Mauricio van den Berg [aut, cre], Daniel Pfeffer [aut] , Tim Lucas [aut] , Daniel May [aut] , Suzanne Keddie [aut] , Jen Rozier [aut] , Oliver Watson [aut] , Harry Gibson [aut] , Nick Golding [ctb], David Smith [ctb]
Maintainer: Mauricio van den Berg <mauricio.vandenberg@thekids.org.au>

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Package jmv updated to version 2.7.0 with previous version 2.5.6 dated 2024-06-20

Title: The 'jamovi' Analyses
Description: A suite of common statistical methods such as descriptives, t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, and factor analysis. This package is also useable from the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more information).
Author: Ravi Selker [aut, cph], Jonathon Love [aut, cre, cph], Damian Dropmann [aut, cph], Victor Moreno [ctb, cph], Maurizio Agosti [ctb, cph], Sebastian Jentschke [ctb, cph]
Maintainer: Jonathon Love <jon@thon.cc>

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Package biometryassist updated to version 1.3.0 with previous version 1.2.2 dated 2025-04-23

Title: Functions to Assist Design and Analysis of Agronomic Experiments
Description: Provides functions to aid in the design and analysis of agronomic and agricultural experiments through easy access to documentation and helper functions, especially for users who are learning these concepts. While not required for most functionality, this package enhances the `asreml` package which provides a computationally efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It is a commercial package that can be purchased as 'asreml-R' from 'VSNi' <https://vsni.co.uk/>, who will supply a zip file for local installation/updating (see <https://asreml.kb.vsni.co.uk/>).
Author: Sharon Nielsen [aut], Sam Rogers [aut, cre], Annie Conway [aut], University of Adelaide [cph, fnd] , Grains Research and Development Corporation [cph, fnd]
Maintainer: Sam Rogers <biometrytraining@adelaide.edu.au>

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New package banter with initial version 0.9.8
Package: banter
Title: BioAcoustic eveNT classifiER
Description: Create a hierarchical acoustic event species classifier out of multiple call type detectors as described in Rankin et al (2017) <doi:10.1111/mms.12381>.
Version: 0.9.8
URL: https://github.com/SWFSC/banter
BugReports: https://github.com/SWFSC/banter/issues
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.6), ggplot2 (>= 3.3.3), gridExtra (>= 2.3), methods, parallel, randomForest (>= 4.6), rfPermute (>= 2.5.1), rlang, stats, swfscMisc (>= 1.5), tibble (>= 3.1.2), tidyr (>= 1.1.1)
Suggests: testthat
License: GNU General Public License
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-11 04:11:32 UTC; eric
Author: Eric Archer [aut, cre], Shannon Rankin [aut]
Maintainer: Eric Archer <eric.ivan.archer@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-11 11:00:17 UTC

More information about banter at CRAN
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Package WARDEN updated to version 1.2.0 with previous version 1.0 dated 2025-05-28

Title: Workflows for Health Technology Assessments in R using Discrete EveNts
Description: Toolkit to support and perform discrete event simulations without resource constraints in the context of health technology assessments (HTA). The package focuses on cost-effectiveness modelling and aims to be submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15' <https://www.sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>. More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.
Author: Javier Sanchez Alvarez [aut, cre], Gabriel Lemyre [ctb], Valerie Aponte Ribero [ctb]
Maintainer: Javier Sanchez Alvarez <javiersanchezeco@gmail.com>

Diff between WARDEN versions 1.0 dated 2025-05-28 and 1.2.0 dated 2025-06-11

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Permanent link

Package LFM updated to version 0.3.1 with previous version 0.3.0 dated 2025-04-16

Title: Laplace Factor Model Analysis and Evaluation
Description: Enables the generation of Laplace factor models across diverse Laplace distributions and facilitates the application of Sparse Online Principal Component (SOPC), Incremental Principal Component (IPC), Perturbation Principal Component (PPC), Stochastic Approximation Principal Component (SAPC), Sparse Principal Component (SPC) and other PC methods and Farm Test methods to these models. Evaluates the efficacy of these methods within the context of Laplace factor models by scrutinizing parameter estimation accuracy, mean square error, and the degree of sparsity.
Author: Guangbao Guo [aut, cre], Siqi Liu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between LFM versions 0.3.0 dated 2025-04-16 and 0.3.1 dated 2025-06-11

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More information about LFM at CRAN
Permanent link

Package rquest updated to version 1.0.5 with previous version 1.0.4 dated 2025-05-19

Title: Hypothesis Tests for Quantiles and Quantile-Based Measures
Description: Functions to conduct hypothesis tests and derive confidence intervals for quantiles, linear combinations of quantiles, ratios of dependent linear combinations and differences and ratios of all of the above for comparisons between independent samples. Additionally, quantile-based measures of inequality are also considered.
Author: Shenal Dedduwakumara [aut, cre], Luke Prendergast [aut], Robert Staudte [aut]
Maintainer: Shenal Dedduwakumara <shenal.dedduwakumara@adelaide.edu.au>

Diff between rquest versions 1.0.4 dated 2025-05-19 and 1.0.5 dated 2025-06-11

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Permanent link

Package VertexWiseR updated to version 1.3.2 with previous version 1.3.1 dated 2025-04-14

Title: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface
Description: Provides functions to run statistical analyses on surface-based neuroimaging data, computing measures including cortical thickness and surface area of the whole-brain and of the hippocampi. It can make use of 'FreeSurfer', 'fMRIprep', 'XCP-D', 'HCP' and 'CAT12' preprocessed datasets and 'HippUnfold' hippocampal segmentation outputs for a given sample by restructuring the data values into a single file. The single file can then be used by the package for analyses independently from its base dataset and without need for its access.
Author: Junhong Yu [aut] , Charly Billaud [aut, cre]
Maintainer: Charly Billaud <charly.billaud@ntu.edu.sg>

Diff between VertexWiseR versions 1.3.1 dated 2025-04-14 and 1.3.2 dated 2025-06-11

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Package RoBMA updated to version 3.5.0 with previous version 3.4.0 dated 2025-02-04

Title: Robust Bayesian Meta-Analyses
Description: A framework for estimating ensembles of meta-analytic, meta-regression, and multilevel models (assuming either presence or absence of the effect, heterogeneity, publication bias, and moderators). The RoBMA framework uses Bayesian model-averaging to combine the competing meta-analytic models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual components (e.g., effect vs. no effect; Bartoš et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoš & Wagenmakers, 2022, <doi:10.1037/met0000405>; Bartoš et al., 2025, <doi:10.1037/met0000737>). Users can define a wide range of prior distributions for the effect size, heterogeneity, publication bias (including selection models and PET-PEESE), and moderator components. The package provides convenient functions for summary, visualizations, and fit diagnostics.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut] , Eric-Jan Wagenmakers [ths] , Joris Goosen [ctb], Matthew Denwood [cph] , Martyn Plummer [cph]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between RoBMA versions 3.4.0 dated 2025-02-04 and 3.5.0 dated 2025-06-11

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Package PAMscapes updated to version 0.14.0 with previous version 0.11.3 dated 2025-04-02

Title: Tools for Summarising and Analysing Soundscape Data
Description: A variety of tools relevant to the analysis of marine soundscape data. There are tools for downloading AIS (automatic identification system) data from Marine Cadastre <https://hub.marinecadastre.gov>, connecting AIS data to GPS coordinates, plotting summaries of various soundscape measurements, and downloading relevant environmental variables (wind, swell height) from the National Center for Atmospheric Research data server <https://rda.ucar.edu/datasets/ds084.1/>. Most tools were developed to work well with output from 'Triton' software, but can be adapted to work with any similar measurements.
Author: Taiki Sakai [aut, cre], Anne Simonis [ctb], Shannon Rankin [ctb], Megan McKenna [ctb], Kaitlin Palmer [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package PamBinaries updated to version 1.9.3 with previous version 1.9.0 dated 2024-05-13

Title: Read and Process 'Pamguard' Binary Data
Description: Functions for easily reading and processing binary data files created by 'Pamguard' (<https://www.pamguard.org/>). All functions for directly reading the binary data files are based on 'MATLAB' code written by Michael Oswald.
Author: Taiki Sakai [aut, cre], Michael Oswald [aut], Douglas Gillespie [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

Diff between PamBinaries versions 1.9.0 dated 2024-05-13 and 1.9.3 dated 2025-06-11

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