Tue, 03 Feb 2026

Package spEDM updated to version 1.11 with previous version 1.10 dated 2026-02-01

Title: Spatial Empirical Dynamic Modeling
Description: Inferring causation from spatial cross-sectional data through empirical dynamic modeling (EDM), with methodological extensions including geographical convergent cross mapping from Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>, as well as the spatial causality test following the approach of Herrera et al. (2016) <doi:10.1111/pirs.12144>, together with geographical pattern causality proposed in Zhang et al. (2025) <doi:10.1080/13658816.2025.2581207>.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between spEDM versions 1.10 dated 2026-02-01 and 1.11 dated 2026-02-03

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More information about spEDM at CRAN
Permanent link

Package nuggets updated to version 2.1.1 with previous version 2.1.0 dated 2025-11-05

Title: Extensible Framework for Data Pattern Exploration
Description: A framework for systematic exploration of association rules (Agrawal et al., 1994, <https://www.vldb.org/conf/1994/P487.PDF>), contrast patterns (Chen, 2022, <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong et al., 1999, <doi:10.1145/312129.312191>), subgroup discovery (Atzmueller, 2015, <doi:10.1002/widm.1144>), and conditional correlations (Hájek, 1978, <doi:10.1007/978-3-642-66943-9>). User-defined functions may also be supplied to guide custom pattern searches. Supports both crisp (Boolean) and fuzzy data. Generates candidate conditions expressed as elementary conjunctions, evaluates them on a dataset, and inspects the induced sub-data for statistical, logical, or structural properties such as associations, correlations, or contrasts. Includes methods for visualization of logical structures and supports interactive exploration through integrated Shiny applications.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

Diff between nuggets versions 2.1.0 dated 2025-11-05 and 2.1.1 dated 2026-02-03

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Package jaccard readmission to version 0.1.2 with previous version 0.1.0 dated 2018-06-14

Title: Testing Similarity Between Binary Datasets using Jaccard/Tanimoto Coefficients
Description: Calculate statistical significance of Jaccard/Tanimoto similarity coefficients.
Author: Neo Christopher Chung [aut, cre], Blażej Miasojedow [aut], Michal Startek [aut], Anna Gambin [aut]
Maintainer: Neo Christopher Chung <nchchung@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2018-06-14

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Package flownet updated to version 0.1.2 with previous version 0.1.1 dated 2026-01-27

Title: Transport Modeling: Network Processing, Route Enumeration, and Traffic Assignment
Description: High-performance tools for transport modeling - network processing, route enumeration, and traffic assignment in R. The package implements the Path-Sized Logit model for traffic assignment - Ben-Akiva and Bierlaire (1999) <doi:10.1007/978-1-4615-5203-1_2> - an efficient route enumeration algorithm, and provides powerful utility functions for (multimodal) network generation, consolidation/contraction, and/or simplification. The user is expected to provide a transport network (either a graph or collection of linestrings) and an origin-destination (OD) matrix of trade/traffic flows. Maintained by transport consultants at CPCS (cpcs.ca).
Author: Sebastian Krantz [aut, cre], Kamol Roy [ctb]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package cvLM updated to version 2.0.0 with previous version 1.0.4 dated 2024-08-01

Title: Cross-Validation for Linear and Ridge Regression Models
Description: Implements cross-validation methods for linear and ridge regression models. The package provides grid-based selection of the ridge penalty parameter using Singular Value Decomposition (SVD) and supports K-fold cross-validation, Leave-One-Out Cross-Validation (LOOCV), and Generalized Cross-Validation (GCV). Computations are implemented in C++ via 'RcppArmadillo' with optional parallelization using 'RcppParallel'. The methods are suitable for high-dimensional settings where the number of predictors exceeds the number of observations.
Author: Philip Nye [aut, cre]
Maintainer: Philip Nye <phipnye@proton.me>

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Package convertid updated to version 0.2.0 with previous version 0.1.12 dated 2026-01-09

Title: Convert Gene IDs Between Each Other and Fetch Annotations from Biomart
Description: Gene Symbols or Ensembl Gene IDs are converted using the Bimap interface in 'AnnotationDbi' in convertId2() but that function is only provided as fallback mechanism for the most common use cases in data analysis. The main function in the package is convert.bm() which queries BioMart using the full capacity of the API provided through the 'biomaRt' package. Presets and defaults are provided for convenience but all "marts", "filters" and "attributes" can be set by the user. Function convert.alias() converts Gene Symbols to Aliases and vice versa and function likely_symbol() attempts to determine the most likely current Gene Symbol.
Author: Vidal Fey [aut, cre], Henrik Edgren [aut]
Maintainer: Vidal Fey <vidal.fey@gmail.com>

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Package rtpcr updated to version 2.1.3 with previous version 2.1.2 dated 2026-01-23

Title: qPCR Data Analysis
Description: Tools for qPCR data analysis using Delta Ct and Delta Delta Ct methods, including t-test, wilcox.test, ANOVA models, and publication-ready visualizations. The package supports multiple target, and multiple reference genes, and uses a calculation framework adopted from Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods.
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <mirzaghaderi@gmail.com>

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Package omock updated to version 0.6.1 with previous version 0.6.0 dated 2025-10-31

Title: Creation of Mock Observational Medical Outcomes Partnership Common Data Model
Description: Creates mock data for testing and package development for the Observational Medical Outcomes Partnership common data model. The package offers functions crafted with pipeline-friendly implementation, enabling users to effortlessly include only the necessary tables for their testing needs.
Author: Mike Du [aut, cre] , Marti Catala [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Mike Du <mike.du@ndorms.ox.ac.uk>

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Package highs updated to version 1.12.0-2 with previous version 1.12.0-1 dated 2025-11-24

Title: 'HiGHS' Optimization Solver
Description: R interface to 'HiGHS', an optimization solver for solving mixed integer optimization problems with quadratic or linear objective and linear constraints.
Author: Florian Schwendinger [aut, cre], Dirk Schumacher [aut], Julian Hall [cph], Ivet Galabova [cph], Leona Gottwald [cph], Michael Feldmeier [cph]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

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 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/CliqueStack.h                 |only
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/DataCollector.cpp             |  172 +-
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/DataCollector.h               |    4 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/DenseFactHybrid.cpp           |   44 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/DenseFactKernel.cpp           |   32 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/FactorHiGHS.cpp               |    8 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/FactorHiGHS.h                 |   15 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/Factorise.cpp                 |  240 +--
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/Factorise.h                   |   21 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/FormatHandler.cpp             |    7 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/FormatHandler.h               |   11 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/HybridHybridFormatHandler.cpp |   66 -
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/HybridHybridFormatHandler.h   |   12 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/HybridSolveHandler.cpp        |  155 --
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 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/Numeric.cpp                   |   46 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/Numeric.h                     |    3 
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 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/SolveHandler.cpp              |    7 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/SolveHandler.h                |    7 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/Swaps.cpp                     |    1 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/Symbolic.cpp                  |   29 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/Symbolic.h                    |   36 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/factorhighs/Timing.h                      |   68 +
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/ipm/FactorHiGHSSolver.cpp                 |  602 +++++----
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/ipm/FactorHiGHSSolver.h                   |   35 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/hipo/ipm/Iterate.cpp                           |  308 ++--
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 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/ipx/lp_solver.cc                               |   47 
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 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/ipx/lu_update.h                                |    2 
 highs-1.12.0-2/highs/inst/HiGHS/highs/ipm/ipx/maxvolume.h                                |    2 
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 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/HStruct.h                                  |   17 
 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/Highs.cpp                                  |  328 +----
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 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/HighsDeprecated.cpp                        |   51 
 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/HighsIis.cpp                               |   27 
 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/HighsIis.h                                 |    8 
 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/HighsInterface.cpp                         |  160 +-
 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/HighsLpUtils.cpp                           |   25 
 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/HighsLpUtils.h                             |    4 
 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/HighsModelUtils.cpp                        |    2 
 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/HighsOptions.cpp                           |   10 
 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/HighsOptions.h                             |   39 
 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/HighsSolution.cpp                          |   48 
 highs-1.12.0-2/highs/inst/HiGHS/highs/lp_data/HighsSolution.h                            |    3 
 highs-1.12.0-2/highs/inst/HiGHS/highs/meson.build                                        |   35 
 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/HighsCliqueTable.cpp                           |  356 ++---
 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/HighsCliqueTable.h                             |    3 
 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/HighsDebugSol.cpp                              |    3 
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 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/HighsDomain.h                                  |   23 
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 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/HighsModkSeparator.cpp                         |    9 
 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/HighsObjectiveFunction.cpp                     |   11 
 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/HighsPathSeparator.cpp                         |    4 
 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/HighsPrimalHeuristics.cpp                      |   25 
 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/HighsRedcostFixing.cpp                         |  182 +-
 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/HighsSearch.cpp                                |   27 
 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/HighsTableauSeparator.cpp                      |    2 
 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/MipTimer.h                                     |   33 
 highs-1.12.0-2/highs/inst/HiGHS/highs/mip/feasibilityjump.hh                             |    2 
 highs-1.12.0-2/highs/inst/HiGHS/highs/presolve/HPresolve.cpp                             |  656 ++++++++--
 highs-1.12.0-2/highs/inst/HiGHS/highs/presolve/HPresolve.h                               |   15 
 highs-1.12.0-2/highs/inst/HiGHS/highs/presolve/HighsSymmetry.cpp                         |    2 
 highs-1.12.0-2/highs/inst/HiGHS/highs/qpsolver/matrix.hpp                                |    2 
 highs-1.12.0-2/highs/inst/HiGHS/highs/qpsolver/quass.cpp                                 |   24 
 highs-1.12.0-2/highs/inst/HiGHS/highs/qpsolver/ratiotest.cpp                             |    1 
 highs-1.12.0-2/highs/inst/HiGHS/highs/qpsolver/settings.hpp                              |    1 
 highs-1.12.0-2/highs/inst/HiGHS/highs/simplex/HApp.h                                     |   68 -
 highs-1.12.0-2/highs/inst/HiGHS/highs/simplex/HEkk.cpp                                   |   60 
 highs-1.12.0-2/highs/inst/HiGHS/highs/simplex/HEkk.h                                     |    5 
 highs-1.12.0-2/highs/inst/HiGHS/highs/simplex/HEkkDebug.cpp                              |   27 
 highs-1.12.0-2/highs/inst/HiGHS/highs/simplex/HEkkDual.cpp                               |    2 
 highs-1.12.0-2/highs/inst/HiGHS/highs/simplex/HEkkPrimal.cpp                             |   29 
 highs-1.12.0-2/highs/inst/HiGHS/highs/simplex/SimplexStruct.h                            |    4 
 highs-1.12.0-2/highs/inst/HiGHS/highs/util/HighsUtils.h                                  |   54 
 highs-1.12.0-2/highs/inst/HiGHS/meson.build                                              |    1 
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 highs-1.12.0-2/highs/inst/HiGHS/nuget/arm-toolchain.cmake                                |    2 
 highs-1.12.0-2/highs/inst/HiGHS/pyproject.toml                                           |    1 
 highs-1.12.0-2/highs/inst/HiGHS/tests/test_highspy.py                                    |   56 
 143 files changed, 4105 insertions(+), 2962 deletions(-)

More information about highs at CRAN
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Package ggplot2 updated to version 4.0.2 with previous version 4.0.1 dated 2025-11-14

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut] , Winston Chang [aut] , Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] , Kohske Takahashi [aut], Claus Wilke [aut] , Kara Woo [aut] , Hiroaki Yutani [aut] , Dewey Dunnington [aut] , Teun van den Brand [aut] , Posit, PBC [cph, [...truncated...]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package evalHTE updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-28

Title: Evaluating Heterogeneous Treatment Effects
Description: Provides various statistical methods for evaluating heterogeneous treatment effects (HTE) in randomized experiments. The package includes tools to estimate uniform confidence bands for estimation of the group average treatment effect sorted by generic machine learning algorithms (GATES). It also provides the tools to identify a subgroup of individuals who are likely to benefit from a treatment the most "exceptional responders" or those who are harmed by it. Detailed reference in Imai and Li (2023) <doi:10.48550/arXiv.2310.07973>.
Author: Michael Lingzhi Li [aut, cre], Kosuke Imai [aut], Jialu Li [ctb]
Maintainer: Michael Lingzhi Li <mili@hbs.edu>

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Package drf updated to version 1.3.1 with previous version 1.3.0 dated 2026-01-21

Title: Distributional Random Forests
Description: An implementation of distributional random forests as introduced in Cevid & Michel & Naf & Meinshausen & Buhlmann (2022) <doi:10.48550/arXiv.2005.14458>.
Author: Jeffrey Naf [cre], Loris Michel [aut], Domagoj Cevid [aut]
Maintainer: Jeffrey Naf <jeffrey.naf@unige.ch>

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Package dplyr updated to version 1.2.0 with previous version 1.1.4 dated 2023-11-17

Title: A Grammar of Data Manipulation
Description: A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Author: Hadley Wickham [aut, cre] , Romain Francois [aut] , Lionel Henry [aut], Kirill Mueller [aut] , Davis Vaughan [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package DIDmultiplegtDYN updated to version 2.3.0 with previous version 2.2.0 dated 2025-12-03

Title: Estimation in Difference-in-Difference Designs with Multiple Groups and Periods
Description: Estimation of heterogeneity-robust difference-in-differences estimators, with a binary, discrete, or continuous treatment, in designs where past treatments may affect the current outcome.
Author: Anzony Quispe [aut, cre], Diego Ciccia [aut], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Clement de Chaisemartin [aut]
Maintainer: Anzony Quispe <anzony.quispe@gmail.com>

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Package crm12Comb updated to version 0.1.12 with previous version 0.1.11 dated 2025-03-30

Title: Phase I/II CRM Based Drug Combination Design
Description: Implements the adaptive designs for integrated phase I/II trials of drug combinations via continual reassessment method (CRM) to evaluate toxicity and efficacy simultaneously for each enrolled patient cohort based on Bayesian inference. It supports patients assignment guidance in a single trial using current enrolled data, as well as conducting extensive simulation studies to evaluate operating characteristics before the trial starts. It includes various link functions such as empiric, one-parameter logistic, two-parameter logistic, and hyperbolic tangent, as well as considering multiple prior distributions of the parameters like normal distribution, gamma distribution and exponential distribution to accommodate diverse clinical scenarios. Method using Bayesian framework with empiric link function is described in: Wages and Conaway (2014) <doi:10.1002/sim.6097>.
Author: Junying Wang [cre, aut], Song Wu [aut], Jie Yang [aut]
Maintainer: Junying Wang <junying.wang.dl@gmail.com>

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Package checkmate updated to version 2.3.4 with previous version 2.3.3 dated 2025-08-18

Title: Fast and Versatile Argument Checks
Description: Tests and assertions to perform frequent argument checks. A substantial part of the package was written in C to minimize any worries about execution time overhead.
Author: Michel Lang [cre, aut] , Bernd Bischl [ctb], Denes Toth [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

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Package BayesBrainMap updated to version 0.2.0 with previous version 0.1.3 dated 2025-07-04

Title: Estimate Brain Networks and Connectivity with Population-Derived Priors
Description: Implements Bayesian brain mapping with population-derived priors, including the original model described in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638>, the model with spatial priors described in Mejia et al. (2022) <doi:10.1080/10618600.2022.2104289>, and the model with population-derived priors on functional connectivity described in Mejia et al. (2025) <doi:10.1093/biostatistics/kxaf022>. Population-derived priors are based on templates representing established brain network maps, for example derived from independent component analysis (ICA), parcellations, or other methods.  Model estimation is based on expectation-maximization or variational Bayes algorithms. Includes direct support for 'CIFTI', 'GIFTI', and 'NIFTI' neuroimaging file formats.
Author: Amanda Mejia [aut, cre], Damon Pham [aut] , Nohelia Da Silva [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

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Package ALDEx3 updated to version 1.0.1 with previous version 1.0.0 dated 2026-01-31

Title: Linear Models for Sequence Count Data
Description: Provides scalable generalized linear and mixed effects models tailored for sequence count data analysis (e.g., analysis of 16S or RNA-seq data). Uses Dirichlet-multinomial sampling to quantify uncertainty in relative abundance or relative expression conditioned on observed count data. Implements scale models as a generalization of normalizations which account for uncertainty in scale (e.g., total abundances) as described in Nixon et al. (2025) <doi:10.1186/s13059-025-03609-3> and McGovern et al. (2025) <doi:10.1101/2025.08.05.668734>.
Author: Justin Silverman [aut, cre], Greg Gloor [aut], Kyle McGovern [aut, ctb]
Maintainer: Justin Silverman <JustinSilverman@psu.edu>

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Package yfR updated to version 1.1.3 with previous version 1.1.2 dated 2025-05-19

Title: Downloads and Organizes Financial Data from Yahoo Finance
Description: Facilitates download of financial data from Yahoo Finance <https://finance.yahoo.com/>, a vast repository of stock price data across multiple financial exchanges. The package offers a local caching system and support for parallel computation.
Author: Marcelo Perlin [aut, cre], Nic Crane [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/523>), Alexander Fischer [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/523>)
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package tidyhydat updated to version 1.0.0 with previous version 0.7.2 dated 2025-10-23

Title: Extract and Tidy Canadian 'Hydrometric' Data
Description: Provides functions to access historical and real-time national 'hydrometric' data from Water Survey of Canada data sources and then applies tidy data principles.
Author: Sam Albers [aut, cre, cph] , Province of British Columbia [cph] , Tula Foundation [cph] , David Hutchinson [ctb], Dewey Dunnington [ctb], Ryan Whaley [ctb], Government of Canada [dtc], Luke Winslow [rev] , Laura DeCicco [rev]
Maintainer: Sam Albers <sam.albers@gmail.com>

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Package psych updated to version 2.6.1 with previous version 2.5.6 dated 2025-06-23

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A general purpose toolbox developed originally for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Validation and cross validation of scales developed using basic machine learning algorithms are provided, as are functions for simulating and testing particular item and test structures. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, including mediation models, factor analysis and structural equation models are created using basic graphics. Some of the fu [...truncated...]
Author: William Revelle [aut, cre]
Maintainer: William Revelle <revelle@northwestern.edu>

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Package pkgload updated to version 1.5.0 with previous version 1.4.1 dated 2025-09-23

Title: Simulate Package Installation and Attach
Description: Simulates the process of installing a package and then attaching it. This is a key part of the 'devtools' package as it allows you to rapidly iterate while developing a package.
Author: Hadley Wickham [aut], Winston Chang [aut], Jim Hester [aut], Lionel Henry [aut, cre], Posit Software, PBC [cph, fnd], R Core team [ctb]
Maintainer: Lionel Henry <lionel@posit.co>

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Package bibtex updated to version 0.5.2 with previous version 0.5.1 dated 2023-01-26

Title: Bibtex Parser
Description: Utility to parse a bibtex file.
Author: Romain Francois [aut, cph] , Diego Hernangomez [aut] , James Joseph Balamuta [ctb, cre, aut] , Scott Chamberlain [ctb] , Kurt Hornik [ctb] , Brian Ripley [ctb] , Michael Koohafkan [ctb], Mathew W. McLean [ctb]
Maintainer: James Joseph Balamuta <balamut2@illinois.edu>

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