Thu, 10 Apr 2025

Package salso updated to version 0.3.53 with previous version 0.3.51 dated 2025-03-30

Title: Search Algorithms and Loss Functions for Bayesian Clustering
Description: The SALSO algorithm is an efficient randomized greedy search method to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. The algorithm is implemented for many loss functions, including the Binder loss and a generalization of the variation of information loss, both of which allow for unequal weights on the two types of clustering mistakes. Efficient implementations are also provided for Monte Carlo estimation of the posterior expected loss of a given clustering estimate. See Dahl, Johnson, Müller (2022) <doi:10.1080/10618600.2022.2069779>.
Author: David B. Dahl [aut, cre] , Devin J. Johnson [aut] , Peter Mueller [aut], Andres Felipe Barrientos [aut], Garritt Page [aut], David Dunson [aut], Alex Crichton [ctb] , Brendan Zabarauskas [ctb] , David B. Dahl [ctb] , David Tolnay [ctb] , Jim Turner [c [...truncated...]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between salso versions 0.3.51 dated 2025-03-30 and 0.3.53 dated 2025-04-10

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Package fangs updated to version 0.2.21 with previous version 0.2.18 dated 2025-03-29

Title: Feature Allocation Neighborhood Greedy Search Algorithm
Description: A neighborhood-based, greedy search algorithm is performed to estimate a feature allocation by minimizing the expected loss based on posterior samples from the feature allocation distribution. The method is described in Dahl, Johnson, and Andros (2023) "Comparison and Bayesian Estimation of Feature Allocations" <doi:10.1080/10618600.2023.2204136>.
Author: David B. Dahl [aut, cre] , R. Jacob Andros [aut] , Devin J. Johnson [aut] , Alex Crichton [ctb] , Andrii Dmytrenko [ctb] , Brendan Zabarauskas [ctb] , David B. Dahl [ctb] , David Tolnay [ctb] , Jim Turner [ctb] , Josh Stone [ctb] , Niko Matsakis [ctb [...truncated...]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between fangs versions 0.2.18 dated 2025-03-29 and 0.2.21 dated 2025-04-10

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Package cohetsurr updated to version 2.0 with previous version 1.1 dated 2025-03-05

Title: Assessing Complex Heterogeneity in Surrogacy
Description: Provides functions to assess complex heterogeneity in the strength of a surrogate marker with respect to multiple baseline covariates, in either a randomized treatment setting or observational setting. For a randomized treatment setting, the functions assess and test for heterogeneity using both a parametric model and a semiparametric two-step model. More details for the randomized setting are available in: Knowlton, R., Tian, L., & Parast, L. (2025). "A General Framework to Assess Complex Heterogeneity in the Strength of a Surrogate Marker," Statistics in Medicine, 44(5), e70001 <doi:10.1002/sim.70001>. For an observational setting, functions in this package assess complex heterogeneity in the strength of a surrogate marker using meta-learners, with options for different base learners. More details for the observational setting will be available in the future in: Knowlton, R., Parast, L. (2025) "Assessing Surrogate Heterogeneity in Real World Data Using Meta-Learners." A tut [...truncated...]
Author: Rebecca Knowlton [aut], Layla Parast [aut, cre]
Maintainer: Layla Parast <parast@austin.utexas.edu>

Diff between cohetsurr versions 1.1 dated 2025-03-05 and 2.0 dated 2025-04-10

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Package CytoProfile updated to version 0.2.0 with previous version 0.1.2 dated 2025-04-03

Title: Cytokine Profiling Analysis Tool
Description: Provides comprehensive cytokine profiling analysis through quality control using biologically meaningful cutoffs on raw cytokine measurements and by testing for distributional symmetry to recommend appropriate transformations. Offers exploratory data analysis with summary statistics, enhanced boxplots, and barplots, along with univariate and multivariate analytical capabilities for in-depth cytokine profiling such as Principal Component Analysis based on Andrzej Maćkiewicz and Waldemar Ratajczak (1993) <doi:10.1016/0098-3004(93)90090-R>, Sparse Partial Least Squares Discriminant Analysis based on Lê Cao K-A, Boitard S, and Besse P (2011) <doi:10.1186/1471-2105-12-253>, Random Forest based on Breiman, L. (2001) <doi:10.1023/A:1010933404324>, and Extreme Gradient Boosting based on Tianqi Chen and Carlos Guestrin (2016) <doi:10.1145/2939672.2939785>.
Author: Shubh Saraswat [cre, aut, cph] , Xiaohua Douglas Zhang [aut]
Maintainer: Shubh Saraswat <shubh.saraswat00@gmail.com>

Diff between CytoProfile versions 0.1.2 dated 2025-04-03 and 0.2.0 dated 2025-04-10

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Package gmwmx2 updated to version 0.0.2 with previous version 0.0.1 dated 2025-03-10

Title: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
Description: Implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2024) <doi:10.48550/arXiv.2409.05160>. The GMWMX estimator allows to estimate functional and stochastic parameters of linear models with correlated residuals in presence of missing data. The 'gmwmx2' package provides functions to load and plot Global Navigation Satellite System (GNSS) data from the Nevada Geodetic Laboratory and functions to estimate linear model model with correlated residuals in presence of missing data.
Author: Lionel Voirol [aut, cre] , Haotian Xu [aut] , Yuming Zhang [aut] , Luca Insolia [aut] , Roberto Molinari [aut] , Stephane Guerrier [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>

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Package targets updated to version 1.11.1 with previous version 1.10.1 dated 2025-01-31

Title: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines
Description: Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] , Matthew T. Warkentin [ctb], Mark Edmondson [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package NumericEnsembles updated to version 0.7.0 with previous version 0.5.0 dated 2025-04-01

Title: Automatically Runs 23 Individual and 17 Ensembles of Models
Description: Automatically runs 23 individual models and 17 ensembles on numeric data. The package automatically returns complete results on all 40 models, 25 charts, multiple tables. The user simply provides the data, and answers a few questions (for example, how many times would you like to resample the data). From there the package randomly splits the data into train, test and validation sets, builds models on the training data, makes predictions on the test and validation sets, measures root mean squared error (RMSE), removes features above a user-set level of Variance Inflation Factor, and has several optional features including scaling all numeric data, four different ways to handle strings in the data. Perhaps the most significant feature is the package's ability to make predictions using the 40 pre trained models on totally new (untrained) data if the user selects that feature. This feature alone represents a very effective solution to the issue of reproducibility of models in data science. [...truncated...]
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>

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Package arcpbf updated to version 0.1.7 with previous version 0.1.6 dated 2024-10-01

Title: Process ArcGIS Protocol Buffer FeatureCollections
Description: Fast processing of ArcGIS FeatureCollection protocol buffers in R. It is designed to work seamlessly with 'httr2' and integrates with 'sf'.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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Package evapoRe updated to version 1.0.1 with previous version 1.0.0 dated 2023-11-29

Title: Evapotranspiration R Recipes
Description: An R-based application for exploratory data analysis of global EvapoTranspiration (ET) datasets. 'evapoRe' enables users to download, validate, visualize, and analyze multi-source ET data across various spatio-temporal scales. Also, the package offers calculation methods for estimating potential ET (PET), including temperature-based, combined type, and radiation-based approaches described in : Oudin et al., (2005) <doi:10.1016/j.jhydrol.2004.08.026>. 'evapoRe' supports hydrological modeling, climate studies, agricultural research, and other data-driven fields by facilitating access to ET data and offering powerful analysis capabilities. Users can seamlessly integrate the package into their research applications and explore diverse ET data at different resolutions.
Author: Akbar Rahmati Ziveh [aut, cre] , Mijael Rodrigo Vargas Godoy [aut] , Vishal Thakur [ctb] , Yannis Markonis [aut, ths]
Maintainer: Akbar Rahmati Ziveh <rahmati_ziveh@fzp.czu.cz>

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Package VLF updated to version 1.1-3 with previous version 1.1 dated 2022-08-18

Title: Frequency Matrix Approach for Assessing Very Low Frequency Variants in Sequence Records
Description: Using frequency matrices, very low frequency variants (VLFs) are assessed for amino acid and nucleotide sequences. The VLFs are then compared to see if they occur in only one member of a species, singleton VLFs, or if they occur in multiple members of a species, shared VLFs. The amino acid and nucleotide VLFs are then compared to see if they are concordant with one another. Amino acid VLFs are also assessed to determine if they lead to a change in amino acid residue type, and potential changes to protein structures. Based on Stoeckle and Kerr (2012) <doi:10.1371/journal.pone.0043992> and Phillips et al. (2023) <doi:10.3897/BDJ.11.e96480>.
Author: Taryn B. T. Athey [cre], Paul D. McNicholas [aut], Jarrett D. Phillips [ctb]
Maintainer: Taryn B. T. Athey <taryn.athey@gmail.com>

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Package tarchetypes updated to version 0.13.0 with previous version 0.12.0 dated 2025-01-31

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Rudolf Siegel [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package qgam updated to version 2.0.0 with previous version 1.3.4 dated 2021-11-22

Title: Smooth Additive Quantile Regression Models
Description: Smooth additive quantile regression models, fitted using the methods of Fasiolo et al. (2020) <doi:10.1080/01621459.2020.1725521>. See Fasiolo at al. (2021) <doi:10.18637/jss.v100.i09> for an introduction to the package. Differently from 'quantreg', the smoothing parameters are estimated automatically by marginal loss minimization, while the regression coefficients are estimated using either PIRLS or Newton algorithm. The learning rate is determined so that the Bayesian credible intervals of the estimated effects have approximately the correct coverage. The main function is qgam() which is similar to gam() in 'mgcv', but fits non-parametric quantile regression models.
Author: Matteo Fasiolo [aut, cre], Ben Griffiths [aut], Simon N. Wood [ctb], Margaux Zaffran [ctb], Yannig Goude [ctb], Raphael Nedellec [ctb]
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

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Package netmeta updated to version 3.2-0 with previous version 3.1-1 dated 2025-02-06

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis (Balduzzi et al., 2023) <doi:10.18637/jss.v106.i02> and supporting Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <doi:10.1002/jrsm.1058>; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <doi:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <doi:10.1002/sim.8158>, or penalised logistic regression (Evrenoglou et al., 2022) <doi:10.1002/sim.9562>; - rankograms and ranking of treatments by the Surface under the cumulative ranking curve (SUCRA) (Salanti et al., 2013) <doi:10.1016/j.jclinepi.2010.03.016>; - ranking of treatments using P-scores (frequentist analogue of SUCRAs without resampling) according to [...truncated...]
Author: Gerta Ruecker [aut] , Ulrike Krahn [aut], Jochem Koenig [aut] , Orestis Efthimiou [aut] , Annabel Davies [aut] , Theodoros Papakonstantinou [aut] , Theodoros Evrenoglou [ctb] , Krzysztof Ciomek [ctb] , Nana-Adjoa Kwarteng [ctb] , Guido Schwarzer [aut, [...truncated...]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package extremefit updated to version 1.0.3 with previous version 1.0.2 dated 2019-05-04

Title: Estimation of Extreme Conditional Quantiles and Probabilities
Description: Extreme value theory, nonparametric kernel estimation, tail conditional probabilities, extreme conditional quantile, adaptive estimation, quantile regression, survival probabilities.
Author: Gilles Durrieu [aut], Ion Grama [aut], Kevin Jaunatre [aut, cre], Quang-Khoai Pham [aut], Jean-Marie Tricot [aut]
Maintainer: Kevin Jaunatre <kevin.jaunatre@hotmail.fr>

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Package crew updated to version 1.1.0 with previous version 1.0.0 dated 2025-02-03

Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Daniel Woodie [ctb], Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package CodelistGenerator updated to version 3.5.0 with previous version 3.4.1 dated 2025-03-26

Title: Identify Relevant Clinical Codes and Evaluate Their Use
Description: Generate a candidate code list for the Observational Medical Outcomes Partnership (OMOP) common data model based on string matching. For a given search strategy, a candidate code list will be returned.
Author: Edward Burn [aut, cre] , Marti Catala [ctb] , Xihang Chen [aut] , Nuria Mercade-Besora [aut] , Mike Du [ctb] , Danielle Newby [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package BradleyTerry2 updated to version 1.1.3 with previous version 1.1-2 dated 2020-02-03

Title: Bradley-Terry Models
Description: Specify and fit the Bradley-Terry model, including structured versions in which the parameters are related to explanatory variables through a linear predictor and versions with contest-specific effects, such as a home advantage.
Author: Heather Turner [aut, cre], David Firth [aut]
Maintainer: Heather Turner <ht@heatherturner.net>

Diff between BradleyTerry2 versions 1.1-2 dated 2020-02-03 and 1.1.3 dated 2025-04-10

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Package arcgisutils updated to version 0.3.3 with previous version 0.3.1 dated 2024-09-26

Title: ArcGIS Utility Functions
Description: Developer oriented utility functions designed to be used as the building blocks of R packages that work with ArcGIS Location Services. It provides functionality for authorization, Esri JSON construction and parsing, as well as other utilities pertaining to geometry and Esri type conversions. To support 'ArcGIS Pro' users, authorization can be done via 'arcgisbinding'. Installation instructions for 'arcgisbinding' can be found at <https://developers.arcgis.com/r-bridge/installation/>.
Author: Josiah Parry [aut, cre] , Kenneth Vernon [ctb] , Martha Bass [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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Package ILSAmerge updated to version 1.3.8 with previous version 1.3.6 dated 2025-02-12

Title: Merge and Download International Large-Scale Assessments (ILSA) Data
Description: Merges and downloads 'SPSS' data from different International Large-Scale Assessments (ILSA), including: Trends in International Mathematics and Science Study (TIMSS), Progress in International Reading Literacy Study (PIRLS), and others.
Author: Andres Christiansen [aut, cre] , Andres Strello [ctb]
Maintainer: Andres Christiansen <andres.christiansen@iea-hamburg.de>

Diff between ILSAmerge versions 1.3.6 dated 2025-02-12 and 1.3.8 dated 2025-04-10

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Package Rdistance updated to version 4.0.5 with previous version 4.0.3 dated 2025-03-29

Title: Density and Abundance from Distance-Sampling Surveys
Description: Distance-sampling (<doi:10.1007/978-3-319-19219-2>) estimates density and abundance of survey targets (e.g., animals) when detection probability declines with distance. Distance-sampling is popular in ecology, especially when survey targets are observed from aerial platforms (e.g., airplane or drone), surface vessels (e.g., boat or truck), or along walking transects. Distance-sampling includes line-transect studies that measure observation distances as the closest approach of the sample route (transect) to the target (i.e., perpendicular off-transect distance), and point-transect studies that measure observation distances from stationary observers to the target (i.e., radial distance). The routines included here fit smooth (parametric) curves to histograms of observation distances and use those functions to compute effective sampling distances, density of targets in the surveyed area, and abundance of targets in a surrounding study area. Curve shapes include the half-normal, haza [...truncated...]
Author: Trent McDonald [cre, aut], Jason Carlisle [aut], Aidan McDonald [aut] , Ryan Nielson [ctb] , Ben Augustine [ctb] , James Griswald [ctb] , Patrick McKann [ctb] , Lacey Jeroue [ctb] , Hoffman Abigail [ctb] , Kleinsausser Michael [ctb] , Joel Reynolds [ [...truncated...]
Maintainer: Trent McDonald <trent@mcdonalddatasciences.com>

Diff between Rdistance versions 4.0.3 dated 2025-03-29 and 4.0.5 dated 2025-04-10

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Package arcgisplaces updated to version 0.1.2 with previous version 0.1.1 dated 2025-01-15

Title: Search for POIs using ArcGIS 'Places Service'
Description: The ArcGIS 'Places service' is a ready-to-use location service that can search for businesses and geographic locations around the world. It allows you to find, locate, and discover detailed information about each place. Query for places near a point, within a bounding box, filter based on categories, or provide search text. 'arcgisplaces' integrates with 'sf' for out of the box compatibility with other spatial libraries. Learn more in the 'Places service' API reference <https://developers.arcgis.com/rest/places/>.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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Package SQLove updated to version 1.0.1 with previous version 0.0.4 dated 2023-11-13

Title: Execute 'SQL' Scripts in 'R' Containing Multiple Queries
Description: The nature of working with structured query language ('SQL') scripts efficiently often requires the creation of temporary tables and there are few clean and simple 'R' 'SQL' execution approaches that allow you to complete this kind of work with the 'R' environment. This package seeks to give 'SQL' implementations in 'R' a little love by deploying functions that allow you to deploy complex 'SQL' scripts within a typical 'R' workflow.
Author: Kerns Sam [aut, cre]
Maintainer: Kerns Sam <samwkerns@gmail.com>

Diff between SQLove versions 0.0.4 dated 2023-11-13 and 1.0.1 dated 2025-04-10

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New package ztils with initial version 1.0.0
Package: ztils
Title: Various Common Statistical Utilities
Version: 1.0.0
Description: Utilities for simplifying common statistical operations including probability density functions, cumulative distribution functions, Kolmogorov-Smirnov tests, principal component analysis plots, and prediction plots.
License: MIT + file LICENSE
URL: https://zachpeagler.github.io/ztils/, https://github.com/zachpeagler/ztils
BugReports: https://github.com/zachpeagler/ztils/issues
Encoding: UTF-8
Depends: R (>= 3.3.0)
Imports: ggplot2, MASS, scico, vegan
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-04-09 17:22:52 UTC; Zach
Author: Zach Peagler [aut, cre, cph]
Maintainer: Zach Peagler <zachpeagler00@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-10 14:30:01 UTC

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Package TruncExpFam updated to version 1.2.1 with previous version 1.2.0 dated 2024-09-26

Title: Truncated Exponential Family
Description: Handles truncated members from the exponential family of probability distributions. Contains functions such as rtruncnorm() and dtruncpois(), which are truncated versions of rnorm() and dpois() from the stats package that also offer richer output containing, for example, the distribution parameters. It also provides functions to retrieve the original distribution parameters from a truncated sample by maximum-likelihood estimation.
Author: Rene Holst [aut], Waldir Leoncio [cre, aut]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

Diff between TruncExpFam versions 1.2.0 dated 2024-09-26 and 1.2.1 dated 2025-04-10

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New package tickr with initial version 1.0.2
Package: tickr
Title: Consistent Axis Tick Marks
Version: 1.0.2
Maintainer: Benjamin C. Williams <kleheni@gmail.com>
Description: This is a small package to provide consistent tick marks for plotting 'ggplot2' figures. It provides breaks and labels for 'ggplot2' without requiring 'ggplot2' to be installed.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, magrittr, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/ben-williams/tickr
NeedsCompilation: no
Packaged: 2025-04-09 17:00:52 UTC; Ben.Williams
Author: Benjamin C. Williams [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-10 14:30:05 UTC

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Package tbea updated to version 1.6.1 with previous version 1.5.0 dated 2024-07-01

Title: Pre- And Post-Processing in Bayesian Evolutionary Analyses
Description: Functions are provided for prior specification in divergence time estimation using fossils as well as other kinds of data. It provides tools for interacting with the input and output of Bayesian platforms in evolutionary biology such as 'BEAST2', 'MrBayes', 'RevBayes', or 'MCMCTree'. It Implements a simple measure similarity between probability density functions for comparing prior and posterior Bayesian densities, as well as code for calculating the combination of distributions using conflation of Hill (2008). Functions for estimating the origination time in collections of distributions using the x-intercept (e.g., Draper and Smith, 1998) and stratigraphic intervals (Marshall 2010) are also available. Hill, T. 2008. "Conflations of probability distributions". Transactions of the American Mathematical Society, 363:3351-3372. <doi:10.48550/arXiv.0808.1808>, Draper, N. R. and Smith, H. 1998. "Applied Regression Analysis". 1--706. Wiley Interscience, New York. <DOI:10.1002/978111 [...truncated...]
Author: Gustavo A. Ballen [aut, cre], Sandra Reinales [aut]
Maintainer: Gustavo A. Ballen <gustavo.a.ballen@gmail.com>

Diff between tbea versions 1.5.0 dated 2024-07-01 and 1.6.1 dated 2025-04-10

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Package RCMsize updated to version 1.0.1 with previous version 1.0.0 dated 2024-12-02

Title: Sample Size Calculation in Reversible Catalytic Models
Description: Sample size and confidence interval calculations in reversible catalytic models, with applications in malaria research. Further details can be found in the paper by Sepúlveda and Drakeley (2015, <doi:10.1186/s12936-015-0661-z>).
Author: Marcia Graca [aut, cre], Fernanda Diamantino [aut, ths], Nuno Sepulveda [aut, ctb, ths]
Maintainer: Marcia Graca <marcia_da_graca@hotmail.com>

Diff between RCMsize versions 1.0.0 dated 2024-12-02 and 1.0.1 dated 2025-04-10

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New package piiR with initial version 0.2.0
Package: piiR
Title: Predictive Information Index ('PII')
Version: 0.2.0
Maintainer: Kevin E. Wells <kevin.e.wells@usm.edu>
Description: A simple implementation of the Predictive Information Index ('PII') using mutual information and entropy from the 'infotheo' package. For related methodology, see Wells (2025) <https://github.com/TheotherDrWells/piiR>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats (>= 3.6.0), infotheo (>= 1.2.0), pROC (>= 1.18.0)
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-04-09 16:42:19 UTC; w10105397
Author: Kevin E. Wells [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-10 14:30:08 UTC

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New package neuroim2 with initial version 0.8.1
Package: neuroim2
Title: Data Structures for Brain Imaging Data
Version: 0.8.1
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Maintainer: Bradley R Buchsbaum <brad.buchsbaum@gmail.com>
Description: A collection of data structures and methods for handling volumetric brain imaging data, with a focus on functional magnetic resonance imaging (fMRI). Provides efficient representations for three-dimensional and four-dimensional neuroimaging data through sparse and dense array implementations, memory-mapped file access for large datasets, and spatial transformation capabilities. Implements methods for image resampling, spatial filtering, region of interest analysis, and connected component labeling. General introduction to fMRI analysis can be found in Poldrack et al. (2024, "Handbook of functional MRI data analysis", <ISBN:9781108795760>).
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
Depends: R (>= 4.3.0), Matrix
Imports: purrr, assertthat, mmap, Rcpp, RcppParallel, RNifti, dbscan, stringr, methods, colorplane, bigstatsr, RNiftyReg, future.apply, deflist, crayon, ggplot2, magrittr
Suggests: testthat, covr, knitr, roxygen2, rmarkdown, Gmedian, R.utils, spelling
URL: https://github.com/bbuchsbaum/neuroim2, https://bbuchsbaum.github.io/neuroim2/
BugReports: https://github.com/bbuchsbaum/neuroim2/issues
Language: en-US
NeedsCompilation: yes
Packaged: 2025-04-09 21:31:43 UTC; bbuchsbaum
Author: Bradley R Buchsbaum [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-04-10 14:50:06 UTC

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New package MCSimMod with initial version 0.9
Package: MCSimMod
Title: Working with 'MCSim' Models
Version: 0.9
Description: Tools that facilitate ordinary differential equation (ODE) modeling in 'R'. This package allows one to perform simulations for ODE models that are encoded in the GNU 'MCSim' model specification language (Bois, 2009) <doi:10.1093/bioinformatics/btp162> using ODE solvers from the 'R' package 'deSolve' (Soetaert et al., 2010) <doi:10.18637/jss.v033.i09>.
Depends: methods, tools
Imports: deSolve
URL: https://CRAN.R-project.org/package=MCSimMod, https://github.com/USEPA/MCSimMod
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-04-09 18:56:47 UTC; dkapraun
Author: Dustin F. Kapraun [aut, cre] , Todd J. Zurlinden [aut] , Andrew J. Shapiro [aut] , Ryan D. Friese [aut] , Frederic Y. Bois [ctb] , Free Software Foundation, Inc. [cph]
Maintainer: Dustin F. Kapraun <kapraun.dustin@epa.gov>
Repository: CRAN
Date/Publication: 2025-04-10 14:40:06 UTC

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New package marcox with initial version 1.0.0
Package: marcox
Title: Marginal Hazard Ratio Estimation in Clustered Failure Time Data
Version: 1.0.0
Description: Estimation of marginal hazard ratios in clustered failure time data. It implements the weighted generalized estimating equation approach based on a semiparametric marginal proportional hazards model (See Niu, Y. Peng, Y.(2015). "A new estimating equation approach for marginal hazard ratio estimation"), accounting for within-cluster correlations. 5 different correlation structures are supported. The package is designed for researchers in biostatistics and epidemiology who require accurate and efficient estimation methods for survival analysis in clustered data settings.
Depends: R (>= 4.4.0), Matrix
Imports: Rcpp, RcppEigen, survival, ggplot2, stats
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
LazyData: true
Maintainer: Junyi Chen <2655088079@qq.com>
License: GPL-3
NeedsCompilation: yes
Packaged: 2025-04-09 09:55:26 UTC; NTLDR
Author: Junyi Chen [aut, cre], Siqi Zhou [ctb], Shida Li [ctb], Yi Niu [aut]
Repository: CRAN
Date/Publication: 2025-04-10 14:20:02 UTC

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New package geoprofiler with initial version 0.0.2
Package: geoprofiler
Title: Perpendicular Line Transects for Geosciences
Version: 0.0.2
Description: Toolset to create perpendicular profile graphs and swath profiles. Method are based on coordinate rotation algorithm by Schaeben et al. (2024) <doi:10.1002/mma.9823>.
License: GPL (>= 3)
URL: https://tobiste.github.io/geoprofiler/
BugReports: https://github.com/tobiste/geoprofiler/issues
Depends: R (>= 4.1.0)
Imports: dplyr, sf, tectonicr, terra, units
Suggests: ggplot2, knitr, rmarkdown, spelling, testthat (>= 3.0.0), tidyterra
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-09 16:42:59 UTC; tstephan
Author: Tobias Stephan [aut, cre]
Maintainer: Tobias Stephan <tobias.stephan1@yahoo.com>
Repository: CRAN
Date/Publication: 2025-04-10 14:30:12 UTC

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New package EZFragility with initial version 1.0.3
Package: EZFragility
Title: Compute Neural Fragility for Ictal iEEG Time Series
Version: 1.0.3
Description: Provides tools to compute the neural fragility matrix from intracranial electrocorticographic (iEEG) recordings, enabling the analysis of brain dynamics during seizures. The package implements the method described by Li et al. (2017) <doi:10.23919/ACC.2017.7963378> and includes functions for data preprocessing (`Epoch`), fragility computation (`calcAdjFrag`), and visualization.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Imports: stats, methods, ggplot2 (>= 3.4.0), viridis, ggtext, glue, rlang, foreach, progress, ramify, reshape2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), doSNOW
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-09 17:51:22 UTC; jiewang
Author: Jiefei Wang [aut, cre] , Anne-Cecile Lesage [aut] , Ioannis Malagaris [aut] , Oliver Zhou [ctb], Liliana Camarillo Rodriguez [ctb] , Sean O'Leary [ctb] , Patrick Karas [ctb]
Maintainer: Jiefei Wang <szwjf08@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-10 14:40:09 UTC

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New package clootl with initial version 0.1.1
Package: clootl
Title: Fetch and Explore the Cornell Lab of Ornithology Open Tree of Life Avian Phylogeny
Version: 0.1.1
Maintainer: Eliot Miller <clootlmaintainers@gmail.com>
URL: https://github.com/eliotmiller/clootl
BugReports: https://github.com/eliotmiller/clootl/issues
Depends: R (>= 4.3.0), ape
Imports: stats, dplyr, RCurl, jsonlite
LazyData: true
LazyDataCompression: xz
Description: Fetches the Cornell Lab of Ornithology Open Tree of Life (clootl) tree in a specified taxonomy. Optionally prune it to a given set of study taxa. Provide a recommended citation list for the studies that informed the extracted tree. Tree generated as described in McTavish et al. (2024) <doi:10.1101/2024.05.20.595017>.
License: GPL-3
Encoding: UTF-8
Suggests: rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-04-09 19:28:43 UTC; luna
Author: Eliot Miller [aut, cre], Emily Jane McTavish [aut], Luna L. Sanchez Reyes [ctb, aut]
Repository: CRAN
Date/Publication: 2025-04-10 14:40:02 UTC

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Package psc updated to version 1.2.0 with previous version 1.1.0 dated 2024-12-12

Title: Personalised Synthetic Controls
Description: Allows the comparison of data cohorts (DC) against a Counter Factual Model (CFM) and measures the difference in terms of an efficacy parameter. Allows the application of Personalised Synthetic Controls.
Author: Richard Jackson [cre, aut, cph]
Maintainer: Richard Jackson <richJ23@liverpool.ac.uk>

Diff between psc versions 1.1.0 dated 2024-12-12 and 1.2.0 dated 2025-04-10

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Package priorsense updated to version 1.1.0 with previous version 1.0.4 dated 2024-11-01

Title: Prior Diagnostics and Sensitivity Analysis
Description: Provides functions for prior and likelihood sensitivity analysis in Bayesian models. Currently it implements methods to determine the sensitivity of the posterior to power-scaling perturbations of the prior and likelihood.
Author: Noa Kallioinen [aut, cre, cph], Topi Paananen [aut], Paul-Christian Buerkner [aut], Aki Vehtari [aut], Frank Weber [ctb]
Maintainer: Noa Kallioinen <noa.kallioinen@aalto.fi>

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Package gemini.R updated to version 0.12.0 with previous version 0.11.0 dated 2025-03-29

Title: Interface for 'Google Gemini' API
Description: Provides a comprehensive interface for Google Gemini API, enabling users to access and utilize Gemini Large Language Model (LLM) functionalities directly from R. This package facilitates seamless integration with Google Gemini, allowing for advanced language processing, text generation, and other AI-driven capabilities within the R environment. For more information, please visit <https://ai.google.dev/docs/gemini_api_overview>.
Author: Jinhwan Kim [aut, cre, cph] , Maciej Nasinski [ctb]
Maintainer: Jinhwan Kim <hwanistic@gmail.com>

Diff between gemini.R versions 0.11.0 dated 2025-03-29 and 0.12.0 dated 2025-04-10

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Package bayesplot updated to version 1.12.0 with previous version 1.11.1 dated 2024-02-15

Title: Plotting for Bayesian Models
Description: Plotting functions for posterior analysis, MCMC diagnostics, prior and posterior predictive checks, and other visualizations to support the applied Bayesian workflow advocated in Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) <doi:10.1111/rssa.12378>. The package is designed not only to provide convenient functionality for users, but also a common set of functions that can be easily used by developers working on a variety of R packages for Bayesian modeling, particularly (but not exclusively) packages interfacing with 'Stan'.
Author: Jonah Gabry [aut, cre], Tristan Mahr [aut], Paul-Christian Buerkner [ctb], Martin Modrak [ctb], Malcolm Barrett [ctb], Frank Weber [ctb], Eduardo Coronado Sroka [ctb], Teemu Sailynoja [ctb], Aki Vehtari [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

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More information about bayesplot at CRAN
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Package r2sundials updated to version 7.2.1-3 with previous version 6.5.0-5 dated 2024-07-22

Title: Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem
Description: Wrapper for widely used 'SUNDIALS' software (SUite of Nonlinear and DIfferential/ALgebraic Equation Solvers) and more precisely to its 'CVODES' solver. It is aiming to solve ordinary differential equations (ODE) and optionally pending forward sensitivity problem. The wrapper is made 'R' friendly by allowing to pass custom parameters to user's callback functions. Such functions can be both written in 'R' and in 'C++' ('RcppArmadillo' flavor). In case of 'C++', performance is greatly improved so this option is highly advisable when performance matters. If provided, Jacobian matrix can be calculated either in dense or sparse format. In the latter case 'rmumps' package is used to solve corresponding linear systems. Root finding and pending event management are optional and can be specified as 'R' or 'C++' functions too. This makes them a very flexible tool for controlling the ODE system during the time course simulation. 'SUNDIALS' library was published in Hindmarsh et al. (2005) <doi:1 [...truncated...]
Author: Serguei Sokol [cre, aut], Carol S. Woodward [ctb], Daniel R. Reynolds [ctb], Alan C. Hindmarsh [ctb], David J. Gardner [ctb], Cody J. Balos [ctb], Radu Serban [ctb], Scott D. Cohen [ctb], Peter N. Brown [ctb], George Byrne [ctb], Allan G. Taylor [ctb [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between r2sundials versions 6.5.0-5 dated 2024-07-22 and 7.2.1-3 dated 2025-04-10

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New package PwePred with initial version 1.0.0
Package: PwePred
Title: Event/Timeline Prediction Model Based on Piecewise Exponential
Imports: graphics, grDevices, stats, methods, utils, segmented, foreach, doSNOW, parallel
Depends: survival, fastmatch
Suggests: knitr, RColorBrewer, rmarkdown
Version: 1.0.0
Maintainer: Tianchen Xu <zjph602xutianchen@gmail.com>
Description: Efficient algorithm for estimating piecewise exponential hazard models for right-censored data, and is useful for reliable power calculation, study design, and event/timeline prediction for study monitoring.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Repository: CRAN
Packaged: 2025-04-09 07:04:01 UTC; xut13
Date/Publication: 2025-04-10 10:00:02 UTC
NeedsCompilation: no
Author: Tianchen Xu [aut, cre]

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New package puff with initial version 0.1.0
Package: puff
Title: Simulate and Visualize the Gaussian Puff Forward Atmospheric Model
Version: 0.1.0
Description: Simulate and run the Gaussian puff forward atmospheric model in sensor (specific sensor coordinates) or grid (across the grid of a full oil and gas operations site) modes, following Jia, M., Fish, R., Daniels, W., Sprinkle, B. and Hammerling, D. (2024) <doi:10.26434/chemrxiv-2023-hc95q-v3>. Numerous visualization options, including static and animated, 2D and 3D, and a site map generator based on sensor and source coordinates.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Hammerling-Research-Group/puff
BugReports: https://github.com/Hammerling-Research-Group/puff/issues
Depends: R (>= 4.1.0)
Imports: ggplot2, dplyr, tidyr, magrittr, htmlwidgets, patchwork, plotly, scales, tidyselect
Suggests: knitr, rmarkdown, devtools, akima, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-09 14:38:08 UTC; philipwaggoner
Author: Teagan Ward [aut], Philip Waggoner [aut, cre], Will Daniels [aut], Meng Jia [aut], Dorit Hammerling [aut, ths]
Maintainer: Philip Waggoner <philip.waggoner@mines.edu>
Repository: CRAN
Date/Publication: 2025-04-10 09:40:02 UTC

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New package isard with initial version 0.1.0
Package: isard
Title: Overflow Data for Quantitative Peace Science Research
Version: 0.1.0
Depends: R (>= 3.5.0)
Description: These are data and functions to support quantitative peace science research. The data are important state-year information on democracy and wealth, which require periodic updates and regular maintenance. The functions permit some exploratory and diagnostic assessment of the kinds of data in demand by the community, but do not impose many dependencies on the user.
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: peacesciencer, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-04-09 13:01:55 UTC; steve
Author: Steve Miller [aut, cre]
Maintainer: Steve Miller <steve@svmiller.com>
Repository: CRAN
Date/Publication: 2025-04-10 09:10:01 UTC

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New package hera with initial version 0.1.1
Package: hera
Title: Companion to the 'xeus-r' 'jupyter' Kernel
Version: 0.1.1
Description: Set of R functions to be coupled with the 'xeus-r' 'jupyter' kernel in order to drive execution of code in notebook input cells, how R objects are to be displayed in output cells, and handle two way communication with the front end through comms.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, evaluate, glue, IRdisplay, jsonlite, R6, repr, rlang, tools, utils
URL: https://github.com/jupyter-xeus/xeus-r
BugReports: https://github.com/jupyter-xeus/xeus-r/issues
NeedsCompilation: no
Packaged: 2025-04-09 12:54:37 UTC; romainfrancois
Author: Romain Francois [aut, cre], QuantStack [cph]
Maintainer: Romain Francois <romain@tada.science>
Repository: CRAN
Date/Publication: 2025-04-10 09:10:05 UTC

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New package correlationr with initial version 0.1.0
Package: correlationr
Title: Conduct Robust Correlations on Non-Normal Data
Version: 0.1.0
Maintainer: Aurora Robert <roberta5@myumanitoba.ca>
Description: Allows you to conduct robust correlations on your non-normal data set. The robust correlations included in the package are median-absolute-deviation and median-based correlations. Li, J.C.H. (2022) <doi:10.5964/meth.8467>.
URL: https://liqas.org/1-correlationr-package/, https://github.com/Aurora-UofM/correlationr
BugReports: https://github.com/Aurora-UofM/correlationr/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Imports: dplyr, stats
NeedsCompilation: no
Packaged: 2025-04-09 14:18:49 UTC; aurorarobert
Author: Johnson Li [aut] , Aurora Robert [cre, aut]
Repository: CRAN
Date/Publication: 2025-04-10 09:40:05 UTC

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Package websocket updated to version 1.4.4 with previous version 1.4.2 dated 2024-07-22

Title: 'WebSocket' Client Library
Description: Provides a 'WebSocket' client interface for R. 'WebSocket' is a protocol for low-overhead real-time communication: <https://en.wikipedia.org/wiki/WebSocket>.
Author: Winston Chang [aut, cre], Joe Cheng [aut], Alan Dipert [aut], Barbara Borges [aut], Posit, PBC [cph], Peter Thorson [ctb, cph] , Rene Nyffenegger [ctb, cph] , Micael Hildenborg [ctb, cph] , Aladdin Enterprises [cph] , Bjoern Hoehrmann [ctb, cph]
Maintainer: Winston Chang <winston@posit.co>

Diff between websocket versions 1.4.2 dated 2024-07-22 and 1.4.4 dated 2025-04-10

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New package TukeyC with initial version 1.3-43
Package: TukeyC
Title: Conventional Tukey Test
Version: 1.3-43
Date: 2025-04-09
Maintainer: Ivan Bezerra Allaman <ivanalaman@gmail.com>
Depends: R (>= 2.6.0)
Imports: doBy, xtable
Suggests: pbkrtest (>= 0.4-6), lme4
Description: Provides tools to perform multiple comparison analyses, based on the well-known Tukey's "Honestly Significant Difference" (HSD) test. In models involving interactions, 'TukeyC' stands out from other R packages by implementing intuitive and easy-to-use functions. In addition to accommodating traditional R methods such as lm() and aov(), it has also been extended to objects of the lmer() class, that is, mixed models with fixed effects. For more details see Tukey (1949) <doi:10.2307/3001913>.
License: GPL (>= 2)
URL: https://github.com/jcfaria/TukeyC
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: no
Packaged: 2025-04-09 23:55:41 UTC; iballaman
Author: Jose Claudio Faria [aut], Enio G. Jelihovschi [aut], Ivan Bezerra Allaman [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-10 08:50:08 UTC

More information about TukeyC at CRAN
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Package this.path updated to version 2.7.0 with previous version 2.6.0 dated 2024-12-18

Title: Get Executing Script's Path
Description: Determine the path of the executing script. Compatible with several popular GUIs: 'Rgui', 'RStudio', 'Positron', 'VSCode', 'Jupyter', 'Emacs', and 'Rscript' (shell). Compatible with several functions and packages: 'source()', 'sys.source()', 'debugSource()' in 'RStudio', 'compiler::loadcmp()', 'utils::Sweave()', 'box::use()', 'knitr::knit()', 'plumber::plumb()', 'shiny::runApp()', 'package:targets', and 'testthat::source_file()'.
Author: Iris Simmons [aut, cre]
Maintainer: Iris Simmons <ikwsimmo@gmail.com>

Diff between this.path versions 2.6.0 dated 2024-12-18 and 2.7.0 dated 2025-04-10

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Package shinytest2 updated to version 0.4.0 with previous version 0.3.2 dated 2024-04-28

Title: Testing for Shiny Applications
Description: Automated unit testing of Shiny applications through a headless 'Chromium' browser.
Author: Barret Schloerke [cre, aut] , Posit Software, PBC [cph, fnd], Winston Chang [ctb] , Gabor Csardi [ctb] , Hadley Wickham [ctb] , Mango Solutions [cph, ccp]
Maintainer: Barret Schloerke <barret@posit.co>

Diff between shinytest2 versions 0.3.2 dated 2024-04-28 and 0.4.0 dated 2025-04-10

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Package ragg updated to version 1.4.0 with previous version 1.3.3 dated 2024-09-11

Title: Graphic Devices Based on AGG
Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] , Maxim Shemanarev [aut, cph] , Tony Juricic [ctb, cph] , Milan Marusinec [ctb, cph] , Spencer Garrett [ctb] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between ragg versions 1.3.3 dated 2024-09-11 and 1.4.0 dated 2025-04-10

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Package heatwaveR updated to version 0.5.4 with previous version 0.4.6 dated 2021-10-27

Title: Detect Heatwaves and Cold-Spells
Description: The different methods for defining, detecting, and categorising the extreme events known as heatwaves or cold-spells, as first proposed in Hobday et al. (2016) <doi: 10.1016/j.pocean.2015.12.014> and Hobday et al. (2018) <https://www.jstor.org/stable/26542662>. The functions in this package work on both air and water temperature data. These detection algorithms may be used on non-temperature data as well.
Author: Robert W. Schlegel [aut, cre, ctb] , Albertus J. Smit [aut, ctb]
Maintainer: Robert W. Schlegel <robwschlegel@gmail.com>

Diff between heatwaveR versions 0.4.6 dated 2021-10-27 and 0.5.4 dated 2025-04-10

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More information about heatwaveR at CRAN
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Package future updated to version 1.40.0 with previous version 1.34.0 dated 2024-07-29

Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multisession)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers, etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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New package ernm with initial version 1.0.0
Package: ernm
Title: Exponential-Family Random Network Models
Version: 1.0.0
Date: 2025-04-08
Description: Estimation of fully and partially observed Exponential-Family Random Network Models (ERNM). Exponential-family Random Graph Models (ERGM) and Gibbs Fields are special cases of ERNMs and can also be estimated with the package. Please cite Fellows and Handcock (2012), "Exponential-family Random Network Models" available at <doi:10.48550/arXiv.1208.0121>.
License: LGPL-2.1
Depends: R (>= 3.5.0), BH, methods, network, Rcpp
Imports: dplyr, ggplot2, graphics, moments, rlang, stats, tidyr, trust
Suggests: spelling, testthat
LinkingTo: BH, Rcpp
Copyright: @ 2014-2025 Ian Fellows
Encoding: UTF-8
Language: en-US
LazyData: true
LazyLoad: yes
RcppModules: ernm
NeedsCompilation: yes
Packaged: 2025-04-09 11:13:22 UTC; dac6
Author: Ian Fellows [aut], Duncan Clark [aut, cre]
Maintainer: Duncan Clark <dac6@williams.edu>
Repository: CRAN
Date/Publication: 2025-04-10 08:50:04 UTC

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New package ARTool with initial version 0.11.2
Package: ARTool
Title: Aligned Rank Transform
Version: 0.11.2
Date: 2025-04-09
Maintainer: Matthew Kay <mjskay@northwestern.edu>
Description: The aligned rank transform for nonparametric factorial ANOVAs as described by Wobbrock, Findlater, Gergle, and Higgins (2011) <doi:10.1145/1978942.1978963>. Also supports aligned rank transform contrasts as described by Elkin, Kay, Higgins, and Wobbrock (2021) <doi:10.1145/3472749.3474784>.
Depends: R (>= 3.2)
Imports: lme4, car (>= 2.0-24), plyr, magrittr, dplyr, emmeans
Suggests: testthat (>= 0.10.0), knitr, rmarkdown, ggplot2, tidyr, pander, lmerTest, cluster, phia, survival, psych, stringi, DescTools, tibble, covr
License: GPL (>= 2)
Language: en-US
BugReports: https://github.com/mjskay/ARTool/issues
URL: https://github.com/mjskay/ARTool/
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-10 05:37:43 UTC; matth
Author: Matthew Kay [aut, cre], Lisa A. Elkin [aut], James J. Higgins [aut], Jacob O. Wobbrock [aut]
Repository: CRAN
Date/Publication: 2025-04-10 08:20:02 UTC

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Package ggalign updated to version 1.0.1 with previous version 1.0.0 dated 2025-03-15

Title: A 'ggplot2' Extension for Consistent Axis Alignment
Description: A 'ggplot2' extension offers various tools the creation of complex, multi-plot visualizations. Built on the familiar grammar of graphics, it provides intuitive tools to align and organize plots, making it ideal for complex visualizations. It excels in multi-omics research—such as genomics and microbiomes—by simplifying the visualization of intricate relationships between datasets, for example, linking genes to pathways. Whether you need to stack plots, arrange them around a central figure, or create a circular layout, 'ggalign' delivers flexibility and accuracy with minimal effort.
Author: Yun Peng [aut, cre] , Shixiang Wang [aut] , Guangchuang Yu [ths]
Maintainer: Yun Peng <yunyunp96@163.com>

Diff between ggalign versions 1.0.0 dated 2025-03-15 and 1.0.1 dated 2025-04-10

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 ggalign-1.0.1/ggalign/NAMESPACE                                                                   |    7 
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 ggalign-1.0.1/ggalign/R/alignpatch-patch.R                                                        |    4 
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 ggalign-1.0.1/ggalign/R/mark.R                                                                    |    2 
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 ggalign-1.0.1/ggalign/man/geom_draw.Rd                                                            |    2 
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 ggalign-1.0.1/ggalign/man/ggalign-package.Rd                                                      |    2 
 ggalign-1.0.1/ggalign/man/layout_design.Rd                                                        |    4 
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 ggalign-1.0.1/ggalign/man/reexports.Rd                                                            |    2 
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Package frair updated to version 0.5.203 with previous version 0.5.100 dated 2017-03-26

Title: Tools for Functional Response Analysis
Description: Tools to support sensible statistics for functional response analysis.
Author: Daniel Pritchard [aut, cre], Daniel Barrios-O'Neill [ctb], Helene Bovy [ctb], Rachel Paterson [ctb]
Maintainer: Daniel Pritchard <daniel@pritchard.co>

Diff between frair versions 0.5.100 dated 2017-03-26 and 0.5.203 dated 2025-04-10

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Package zoo updated to version 1.8-14 with previous version 1.8-13 dated 2025-02-22

Title: S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)
Description: An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.
Author: Achim Zeileis [aut, cre] , Gabor Grothendieck [aut], Jeffrey A. Ryan [aut], Joshua M. Ulrich [ctb], Felix Andrews [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between zoo versions 1.8-13 dated 2025-02-22 and 1.8-14 dated 2025-04-10

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Package MetaNet updated to version 0.2.5 with previous version 0.1.2 dated 2024-03-25

Title: Network Analysis for Omics Data
Description: Comprehensive network analysis package. Calculate correlation network fastly, accelerate lots of analysis by parallel computing. Support for multi-omics data, search sub-nets fluently. Handle bigger data, more than 10,000 nodes in each omics. Offer various layout method for multi-omics network and some interfaces to other software ('Gephi', 'Cytoscape', 'ggplot2'), easy to visualize. Provide comprehensive topology indexes calculation, including ecological network stability.
Author: Chen Peng [aut, cre]
Maintainer: Chen Peng <pengchen2001@zju.edu.cn>

Diff between MetaNet versions 0.1.2 dated 2024-03-25 and 0.2.5 dated 2025-04-10

 MetaNet-0.1.2/MetaNet/R/build.R                       |only
 MetaNet-0.1.2/MetaNet/R/calculate.R                   |only
 MetaNet-0.1.2/MetaNet/R/modules.R                     |only
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 MetaNet-0.1.2/MetaNet/R/stability.R                   |only
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 MetaNet-0.1.2/MetaNet/man/extract_sub_net.Rd          |only
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 MetaNet-0.2.5/MetaNet/DESCRIPTION                     |   13 -
 MetaNet-0.2.5/MetaNet/MD5                             |  183 +++++++++---------
 MetaNet-0.2.5/MetaNet/NAMESPACE                       |   24 ++
 MetaNet-0.2.5/MetaNet/NEWS.md                         |   41 ++++
 MetaNet-0.2.5/MetaNet/R/1.calculate.R                 |only
 MetaNet-0.2.5/MetaNet/R/2-1.build.R                   |only
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 MetaNet-0.2.5/MetaNet/R/3-1.layout.R                  |only
 MetaNet-0.2.5/MetaNet/R/3-2.shapes.R                  |only
 MetaNet-0.2.5/MetaNet/R/3-3.plot.R                    |only
 MetaNet-0.2.5/MetaNet/R/3-4.other_plot.R              |only
 MetaNet-0.2.5/MetaNet/R/5.topological.R               |only
 MetaNet-0.2.5/MetaNet/R/6.modules.R                   |only
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 MetaNet-0.2.5/MetaNet/R/MetaNet-package.R             |   11 -
 MetaNet-0.2.5/MetaNet/R/print.R                       |   59 +++++
 MetaNet-0.2.5/MetaNet/R/utils-pipe.R                  |   34 +++
 MetaNet-0.2.5/MetaNet/README.md                       |   10 
 MetaNet-0.2.5/MetaNet/data/c_net.rda                  |binary
 MetaNet-0.2.5/MetaNet/inst/doc/MetaNet.html           |    7 
 MetaNet-0.2.5/MetaNet/man/Cohesion.Rd                 |    2 
 MetaNet-0.2.5/MetaNet/man/RMT_threshold.Rd            |    2 
 MetaNet-0.2.5/MetaNet/man/anno_edge.Rd                |    3 
 MetaNet-0.2.5/MetaNet/man/anno_vertex.Rd              |    3 
 MetaNet-0.2.5/MetaNet/man/as.ggig.Rd                  |    3 
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 MetaNet-0.2.5/MetaNet/man/c_net_annotate.Rd           |    3 
 MetaNet-0.2.5/MetaNet/man/c_net_build.Rd              |    4 
 MetaNet-0.2.5/MetaNet/man/c_net_calculate.Rd          |    6 
 MetaNet-0.2.5/MetaNet/man/c_net_filter.Rd             |    3 
 MetaNet-0.2.5/MetaNet/man/c_net_from_edgelist.Rd      |    8 
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 MetaNet-0.2.5/MetaNet/man/cal_sim.Rd                  |   12 -
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 MetaNet-0.2.5/MetaNet/man/g_layout.Rd                 |   24 --
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 MetaNet-0.2.5/MetaNet/man/get_group_skeleton.Rd       |    8 
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 MetaNet-0.2.5/MetaNet/man/get_module_eigen.Rd         |    2 
 MetaNet-0.2.5/MetaNet/man/get_n.Rd                    |    7 
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 MetaNet-0.2.5/MetaNet/man/input_gephi.Rd              |    3 
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 MetaNet-0.2.5/MetaNet/man/module_detect.Rd            |    2 
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 MetaNet-0.2.5/MetaNet/man/module_net.Rd               |    2 
 MetaNet-0.2.5/MetaNet/man/multi_net_build.Rd          |    2 
 MetaNet-0.2.5/MetaNet/man/nc.Rd                       |    4 
 MetaNet-0.2.5/MetaNet/man/netD3plot.Rd                |    3 
 MetaNet-0.2.5/MetaNet/man/net_par.Rd                  |   13 -
 MetaNet-0.2.5/MetaNet/man/olympic_rings_net.Rd        |    3 
 MetaNet-0.2.5/MetaNet/man/p.adjust.table.Rd           |    4 
 MetaNet-0.2.5/MetaNet/man/plot.ggig.Rd                |   20 +
 MetaNet-0.2.5/MetaNet/man/plot.metanet.Rd             |    2 
 MetaNet-0.2.5/MetaNet/man/plot.rmt_res.Rd             |    2 
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 MetaNet-0.2.5/MetaNet/man/twocol_edgelist.Rd          |    3 
 MetaNet-0.2.5/MetaNet/man/venn_net.Rd                 |    3 
 MetaNet-0.2.5/MetaNet/man/vulnerability.Rd            |    2 
 MetaNet-0.2.5/MetaNet/man/zp_analyse.Rd               |    9 
 109 files changed, 533 insertions(+), 265 deletions(-)

More information about MetaNet at CRAN
Permanent link

Package optimx updated to version 2025-4.9 with previous version 2024-12.2 dated 2024-12-10

Title: Expanded Replacement and Extension of the 'optim' Function
Description: Provides a replacement and extension of the optim() function to call to several function minimization codes in R in a single statement. These methods handle smooth, possibly box constrained functions of several or many parameters. Note that function 'optimr()' was prepared to simplify the incorporation of minimization codes going forward. Also implements some utility codes and some extra solvers, including safeguarded Newton methods. Many methods previously separate are now included here. This is the version for CRAN.
Author: John C Nash [aut, cre], Ravi Varadhan [aut], Hans W Borchers [ctb], Gabor Grothendieck [ctb]
Maintainer: John C Nash <profjcnash@gmail.com>

Diff between optimx versions 2024-12.2 dated 2024-12-10 and 2025-4.9 dated 2025-04-10

 DESCRIPTION                         |    8 +-
 MD5                                 |   43 ++++++------
 NAMESPACE                           |    2 
 NEWS                                |   19 +++++
 R/ctrldefault.R                     |    1 
 R/kktchk.R                          |   67 ++++++++++---------
 R/opm.R                             |    8 +-
 R/optimr.R                          |   20 ++++-
 R/optimr2opm.R                      |  124 +++++++++++++++++++-----------------
 R/pd_check.R                        |only
 build/vignette.rds                  |binary
 inst/doc/AddPracmaNM2optimx.pdf     |binary
 inst/doc/ExplainGradMinR.pdf        |binary
 inst/doc/Extend-optimx.pdf          |binary
 inst/doc/Intro-to-optimx.pdf        |binary
 inst/doc/Rvmmin.pdf                 |binary
 inst/doc/SNewton.pdf                |binary
 inst/doc/vignette-source/Rvmmin.Rmd |    2 
 man/kktchk.Rd                       |    4 -
 man/opm.Rd                          |    4 +
 man/opm2optimr.Rd                   |    2 
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 man/optimr2opm.Rd                   |only
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 24 files changed, 192 insertions(+), 129 deletions(-)

More information about optimx at CRAN
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Package mlflow updated to version 2.21.3 with previous version 2.21.2 dated 2025-04-02

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] , RStudio [cph]
Maintainer: Matei Zaharia <matei@databricks.com>

Diff between mlflow versions 2.21.2 dated 2025-04-02 and 2.21.3 dated 2025-04-10

 DESCRIPTION |    6 +++---
 MD5         |    2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

More information about mlflow at CRAN
Permanent link


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