Tue, 03 Feb 2026

Package contoso updated to version 2.0.0 with previous version 1.2.2 dated 2025-12-19

Title: Dataset of the 'Contoso' Company
Description: A collection of synthetic datasets simulating sales transactions from a fictional company. The dataset includes various related tables that contain essential business and operational data, useful for analyzing sales performance and other business insights. Key tables included in the package are: - "sales": Contains data on individual sales transactions, including order details, pricing, quantities, and customer information. - "customer": Stores customer-specific details such as demographics, geographic location, occupation, and birthday. - "store": Provides information about stores, including location, size, status, and operational dates. - "orders": Contains details about customer orders, including order and delivery dates, store, and customer data. - "product": Contains data on products, including attributes such as product name, category, price, cost, and weight. - "calendar": A time-based table that includes date-related attributes like year, month, quarter, day, and working day in [...truncated...]
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>

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Package glyparse updated to version 0.5.5 with previous version 0.5.4 dated 2026-01-27

Title: Parsing Glycan Structure Text Representations
Description: Provides functions to parse glycan structure text representations into 'glyrepr' glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, WURCS, Linear Code, and GlycoCT format. It also provides an automatic parser to detect the format and parse the structure string.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

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Package animl updated to version 3.2.0 with previous version 2.0.0 dated 2025-02-11

Title: A Collection of ML Tools for Conservation Research
Description: Functions required to classify subjects within camera trap field data. The package can handle both images and videos. The authors recommend a two-step approach using Microsoft's 'MegaDector' model and then a second model trained on the classes of interest.
Author: Kyra Swanson [aut, cre] , Mathias Tobler [aut]
Maintainer: Kyra Swanson <tswanson@sdzwa.org>

Diff between animl versions 2.0.0 dated 2025-02-11 and 3.2.0 dated 2026-02-03

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Package wizaRdry updated to version 0.6.4 with previous version 0.5.0 dated 2025-11-07

Title: A Magical Framework for Collaborative & Reproducible Data Analysis
Description: A comprehensive data analysis framework for NIH-funded research that streamlines workflows for both data cleaning and preparing NIH Data Archive ('NDA') submission templates. Provides unified access to multiple data sources ('REDCap', 'MongoDB', 'Qualtrics') through interfaces to their APIs, with specialized functions for data cleaning, filtering, merging, and parsing. Features automatic validation, field harmonization, and memory-aware processing to enhance reproducibility in multi-site collaborative research as described in Mittal et al. (2021) <doi:10.20900/jpbs.20210011>.
Author: Joshua G. Kenney [aut, cre], Trevor F. Williams [aut], Minerva K. Pappu [aut], Michael J. Spilka [aut], Danielle N. Pratt [ctb], Victor J. Pokorny [ctb], Santiago Castiello de Obeso [ctb], Praveen Suthaharan [ctb], Christian R. Horgan [ctb]
Maintainer: Joshua G. Kenney <joshua.kenney@yale.edu>

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Package verdata updated to version 1.0.2 with previous version 1.0.1 dated 2025-11-07

Title: Analyze Data from the Truth Commission in Colombia
Description: Facilitates use and analysis of data about the armed conflict in Colombia resulting from the joint project between La Jurisdicción Especial para la Paz (JEP), La Comisión para el Esclarecimiento de la Verdad, la Convivencia y la No repetición (CEV), and the Human Rights Data Analysis Group (HRDAG). The data are 100 replicates from a multiple imputation through chained equations as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. With the replicates the user can examine four human rights violations that occurred in the Colombian conflict accounting for the impact of missing fields and fully missing observations.
Author: Maria Gargiulo [aut, cre], Maria Juliana Duran [aut], Paula Andrea Amado [aut], Patrick Ball [rev]
Maintainer: Maria Gargiulo <mariag@hrdag.org>

Diff between verdata versions 1.0.1 dated 2025-11-07 and 1.0.2 dated 2026-02-03

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Package optrefine updated to version 1.1.1 with previous version 1.1.0 dated 2023-04-18

Title: Optimally Refine Strata
Description: Splits initial strata into refined strata that optimize covariate balance. For more information, please see Brumberg, Small, and Rosenbaum (2024) <doi:10.1093/biomtc/ujae061>. To solve the linear program, the 'Gurobi' commercial optimization software is recommended, but not required. The 'gurobi' R package can be installed following the instructions at <https://docs.gurobi.com/projects/optimizer/en/current/reference/r/setup.html> after claiming your free academic license at <https://www.gurobi.com/academia/academic-program-and-licenses/>.
Author: Katherine Brumberg [aut, cre]
Maintainer: Katherine Brumberg <kbrum@umich.edu>

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Package natstrat readmission to version 2.0.1 with previous version 2.0.0 dated 2021-10-15

Title: Obtain Unweighted Natural Strata that Balance Many Covariates
Description: Natural strata can be used in observational studies to balance the distributions of many covariates across any number of treatment groups and any number of comparisons. These strata have proportional amounts of units within each stratum across the treatments, allowing for simple interpretation and aggregation across strata. Within each stratum, the units are chosen using randomized rounding of a linear program that balances many covariates. For more details, see Brumberg et al. (2022) <doi:10.1111/rssa.12848> and Brumberg et al.(2023) <doi:10.1093/jrsssc/qlad010>. To solve the linear program, the 'Gurobi' commercial optimization software is recommended, but not required. The 'gurobi' R package can be installed by following the instructions at <https://docs.gurobi.com/projects/optimizer/en/current/reference/r/setup.html> after claiming your free academic license at <https://www.gurobi.com/academia/academic-program-and-licenses/>.
Author: Katherine Brumberg [aut, cre]
Maintainer: Katherine Brumberg <kbrum@umich.edu>

This is a re-admission after prior archival of version 2.0.0 dated 2021-10-15

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Package HTGM2D readmission to version 1.1.1 with previous version 1.1 dated 2025-05-18

Title: Two Dimensional High Throughput 'GoMiner'
Description: The Gene Ontology (GO) Consortium <https://geneontology.org/> organizes genes into hierarchical categories based on biological process (BP), molecular function (MF) and cellular component (CC, i.e., subcellular localization). Tools such as 'GoMiner' (see Zeeberg, B.R., Feng, W., Wang, G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) can leverage GO to perform ontological analysis of microarray and proteomics studies, typically generating a list of significant functional categories. Microarray studies are usually analyzed with BP, whereas proteomics researchers often prefer CC. To capture the benefit of both of those ontologies, I developed a two-dimensional version of 'High-Throughput GoMiner' ('HTGM2D'). I generate a 2D heat map whose axes are any two of BP, MF, or CC, and the value within a picture element of the heat map reflects the Jaccard metric p-value for the number of genes in common for the corresponding pair.
Author: Barry Zeeberg [aut, cre]
Maintainer: Barry Zeeberg <barryz2013@gmail.com>

This is a re-admission after prior archival of version 1.1 dated 2025-05-18

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Package bmemLavaan readmission to version 0.7 with previous version 0.6 dated 2025-09-03

Title: Mediation Analysis with Missing Data and Non-Normal Data
Description: Methods for mediation analysis with missing data and non-normal data are implemented. For missing data, four methods are available: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included to handle missing data. For handling non-normal data, bootstrap and two-stage robust methods can be used. Technical details of the methods can be found in Zhang and Wang (2013, <doi:10.1007/s11336-012-9301-5>), Zhang (2014, <doi:10.3758/s13428-013-0424-0>), and Yuan and Zhang (2012, <doi:10.1007/s11336-012-9282-4>).
Author: Shuigen Ming [aut], Hong Zhang [aut], Zhiyong Zhang [aut, cre], Lijuan Wang [aut]
Maintainer: Zhiyong Zhang <johnnyzhz@gmail.com>

This is a re-admission after prior archival of version 0.6 dated 2025-09-03

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Package layer updated to version 0.0.4 with previous version 0.0.3 dated 2025-01-29

Title: Tilt your Maps and Turn Them into 'ggplot' Plots
Description: Simplifies the whole process of creating stacked tilted maps, that are often used in scientific publications to show different environmental layers for a geographical region. Tilting maps and layering them allows to easily draw visual correlations between these environmental layers.
Author: Marco Sciaini [aut, cph], Cedric Scherer [aut], Josh Erickson [ctb], Egor Kotov [ctb, cre]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package ir updated to version 0.4.2 with previous version 0.4.1 dated 2025-04-06

Title: Functions to Handle and Preprocess Infrared Spectra
Description: Functions to import and handle infrared spectra (import from '.csv' and Thermo Galactic's '.spc', baseline correction, binning, clipping, interpolating, smoothing, averaging, adding, subtracting, dividing, multiplying, atmospheric correction, 'tidyverse' methods, plotting).
Author: Henning Teickner [aut, cre, cph]
Maintainer: Henning Teickner <henning.teickner@uni-muenster.de>

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Package BTSR updated to version 1.0.2 with previous version 1.0.1 dated 2026-01-22

Title: Bounded Time Series Regression
Description: Simulate, estimate and forecast a wide range of regression based dynamic models for bounded time series, covering the most commonly applied models in the literature. The main calculations are done in FORTRAN, which translates into very fast algorithms.
Author: Taiane Schaedler Prass [aut, cre, com] , Guilherme Pumi [ctb, aut] , Fabio Mariano Bayer [ctb] , Jack Joseph Dongarra [ctb] ), Cleve Moler [ctb] ), Gilbert Wright Stewart [ctb] ), Ciyou Zhu [ctb] , Richard H. Byrd [ctb] , Jorge Nocedal [ctb] , Jose L [...truncated...]
Maintainer: Taiane Schaedler Prass <taianeprass@gmail.com>

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Package AdverseEvents updated to version 0.0.5 with previous version 0.0.4 dated 2024-11-20

Title: 'shiny' Application for Adverse Event Analysis of 'OnCore' Data
Description: An application for analysis of Adverse Events, as described in Chen, et al., (2023) <doi:10.3390/cancers15092521>. The required data for the application includes demographics, follow up, adverse event, drug administration and optional tumor measurement data. The app can produce swimmers plots of adverse events, Kaplan-Meier plots and Cox Proportional Hazards model results for the association of adverse event biomarkers and overall survival and progression free survival. The adverse event biomarkers include occurrence of grade 3, low grade (1-2), and treatment related adverse events. Plots and tables of results are downloadable.
Author: Z Thompson [aut, cre], A Obermayer [aut], DT Chen [aut]
Maintainer: Z Thompson <zachary.thompson@moffitt.org>

Diff between AdverseEvents versions 0.0.4 dated 2024-11-20 and 0.0.5 dated 2026-02-03

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Package UComp updated to version 5.1.7 with previous version 5.1.5 dated 2025-11-18

Title: Automatic Univariate Time Series Modelling of many Kinds
Description: Comprehensive analysis and forecasting of univariate time series using automatic time series models of many kinds. Harvey AC (1989) <doi:10.1017/CBO9781107049994>. Pedregal DJ and Young PC (2002) <doi:10.1002/9780470996430>. Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>. Hyndman RJ, Koehler AB, Ord JK, and Snyder RD (2008) <doi:10.1007/978-3-540-71918-2>. Gómez V, Maravall A (2000) <doi:10.1002/9781118032978>. Pedregal DJ, Trapero JR and Holgado E (2024) <doi:10.1016/j.ijforecast.2023.09.004>.
Author: Diego J. Pedregal [aut, cre]
Maintainer: Diego J. Pedregal <diego.pedregal@uclm.es>

Diff between UComp versions 5.1.5 dated 2025-11-18 and 5.1.7 dated 2026-02-03

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Package mlflow updated to version 3.9.0 with previous version 3.6.0 dated 2025-11-14

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: Ben Wilson [aut, cre], Matei Zaharia [aut], Javier Luraschi [aut], Kevin Kuo [aut] , RStudio [cph]
Maintainer: Ben Wilson <benjamin.wilson@databricks.com>

Diff between mlflow versions 3.6.0 dated 2025-11-14 and 3.9.0 dated 2026-02-03

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Package climate updated to version 1.2.9 with previous version 1.2.7 dated 2026-01-23

Title: Interface to Download Meteorological (and Hydrological) Datasets
Description: Automatize downloading of meteorological and hydrological data from publicly available repositories: OGIMET (<http://ogimet.com/index.phtml.en>), University of Wyoming - atmospheric vertical profiling data (<http://weather.uwyo.edu/upperair/>), Polish Institute of Meteorology and Water Management - National Research Institute (<https://danepubliczne.imgw.pl>), and National Oceanic & Atmospheric Administration (NOAA). This package also allows for searching geographical coordinates for each observation and calculate distances to the nearest stations.
Author: Bartosz Czernecki [aut, cre] , Arkadiusz Glogowski [aut] , Jakub Nowosad [aut] , IMGW-PIB [ctb]
Maintainer: Bartosz Czernecki <nwp@amu.edu.pl>

Diff between climate versions 1.2.7 dated 2026-01-23 and 1.2.9 dated 2026-02-03

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Package bamm updated to version 0.6.0 with previous version 0.5.0 dated 2024-07-06

Title: Species Distribution Models as a Function of Biotic, Abiotic and Movement Factors (BAM)
Description: Species Distribution Modeling (SDM) is a practical methodology that aims to estimate the area of distribution of a species. However, most of the work has focused on estimating static expressions of the correlation between environmental variables. The outputs of correlative species distribution models can be interpreted as maps of the suitable environment for a species but not generally as maps of its actual distribution. Soberón and Peterson (2005) <doi:10.17161/bi.v2i0.4> presented the BAM scheme, a heuristic framework that states that the occupied area of a species occurs on sites that have been accessible through dispersal (M) and have both favorable biotic (B) and abiotic conditions (A). The 'bamm' package implements classes and functions to operate on each element of the BAM and by using a cellular automata model where the occupied area of a species at time t is estimated by the multiplication of three binary matrices: one matrix represents movements (M), another abiotic - [...truncated...]
Author: Luis Osorio-Olvera [aut, cre] , Jorge Soberon [aut] , Rusby G. Contreras-Diaz [ctb]
Maintainer: Luis Osorio-Olvera <luismurao@gmail.com>

Diff between bamm versions 0.5.0 dated 2024-07-06 and 0.6.0 dated 2026-02-03

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Package epiworldR updated to version 0.11.2.0 with previous version 0.11.0.1 dated 2026-01-14

Title: Fast Agent-Based Epi Models
Description: A flexible framework for Agent-Based Models (ABM), the 'epiworldR' package provides methods for prototyping disease outbreaks and transmission models using a 'C++' backend, making it very fast. It supports multiple epidemiological models, including the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Removed (SIR), Susceptible-Exposed-Infected-Removed (SEIR), and others, involving arbitrary mitigation policies and multiple-disease models. Users can specify infectiousness/susceptibility rates as a function of agents' features, providing great complexity for the model dynamics. Furthermore, 'epiworldR' is ideal for simulation studies featuring large populations.
Author: George Vega Yon [aut, cre] , Derek Meyer [aut] , Andrew Pulsipher [aut] , Susan Holmes [rev] , Abinash Satapathy [rev] , Carinogurjao [rev], Centers for Disease Control and Prevention [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

Diff between epiworldR versions 0.11.0.1 dated 2026-01-14 and 0.11.2.0 dated 2026-02-03

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Package allMT updated to version 0.1.1 with previous version 0.1.0 dated 2023-04-20

Title: Acute Lymphoblastic Leukemia Maintenance Therapy Analysis
Description: Evaluates acute lymphoblastic leukemia maintenance therapy practice at patient and cohort level.
Author: Tushar Mungle [aut, cre] , Ananya Mahadevan [aut] , Shekhar Krishnan [aut]
Maintainer: Tushar Mungle <tushar.mungle@gmail.com>

Diff between allMT versions 0.1.0 dated 2023-04-20 and 0.1.1 dated 2026-02-03

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Package whitewater updated to version 0.1.4 with previous version 0.1.3 dated 2023-04-01

Title: Parallel Processing Options for Package 'dataRetrieval'
Description: Provides methods for retrieving United States Geological Survey (USGS) water data using sequential and parallel processing (Bengtsson, 2022 <doi:10.32614/RJ-2021-048>). In addition to parallel methods, data wrangling and additional statistical attributes are provided.
Author: Josh Erickson [aut, cre, cph]
Maintainer: Josh Erickson <joshualerickson@gmail.com>

Diff between whitewater versions 0.1.3 dated 2023-04-01 and 0.1.4 dated 2026-02-03

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Package VeccTMVN updated to version 1.3.2 with previous version 1.3.1 dated 2025-08-19

Title: Multivariate Normal Probabilities using Vecchia Approximation
Description: Under a different representation of the multivariate normal (MVN) probability, we can use the Vecchia approximation to sample the integrand at a linear complexity with respect to n. Additionally, both the SOV algorithm from Genz (92) and the exponential-tilting method from Botev (2017) can be adapted to linear complexity. The reference for the method implemented in this package is Jian Cao and Matthias Katzfuss (2024) "Linear-Cost Vecchia Approximation of Multivariate Normal Probabilities" <doi:10.48550/arXiv.2311.09426>. Two major references for the development of our method are Alan Genz (1992) "Numerical Computation of Multivariate Normal Probabilities" <doi:10.1080/10618600.1992.10477010> and Z. I. Botev (2017) "The Normal Law Under Linear Restrictions: Simulation and Estimation via Minimax Tilting" <doi:10.48550/arXiv.1603.04166>.
Author: Jian Cao [aut, cre], Matthias Katzfuss [aut]
Maintainer: Jian Cao <jcao2416@gmail.com>

Diff between VeccTMVN versions 1.3.1 dated 2025-08-19 and 1.3.2 dated 2026-02-03

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New package vismi with initial version 0.9.5
Package: vismi
Title: Visual Diagnostics for Multiple Imputation
Version: 0.9.5
Description: A comprehensive suite of static and interactive visual diagnostics for assessing the quality of multiply-imputed data obtained from packages such as 'mixgb' and 'mice'. The package supports inspection of distributional characteristics, diagnostics based on masking observed values and comparing them with re-imputed values, and convergence diagnostics.
URL: https://agnesdeng.github.io/vismi/
BugReports: https://github.com/agnesdeng/vismi/issues
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.3.0)
Imports: cli, data.table, dplyr, GGally, ggplot2 (>= 4.0.1), ggtext, gridExtra, ggridges, mixgb (>= 2.2.3), patchwork, plotly, purrr, rlang, stats, scales, tidyr, trelliscopejs
NeedsCompilation: no
Packaged: 2026-01-30 21:43:16 UTC; agnes
Author: Yongshi Deng [aut, cre] , Thomas Lumley [ths]
Maintainer: Yongshi Deng <agnes.yongshideng@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 14:10:02 UTC

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New package sleacr with initial version 0.1.3
Package: sleacr
Title: Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC) Tools
Version: 0.1.3
Description: In the recent past, measurement of coverage has been mainly through two-stage cluster sampled surveys either as part of a nutrition assessment or through a specific coverage survey known as Centric Systematic Area Sampling (CSAS). However, such methods are resource intensive and often only used for final programme evaluation meaning results arrive too late for programme adaptation. SLEAC, which stands for Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage, is a low resource method designed specifically to address this limitation and is used regularly for monitoring, planning and importantly, timely improvement to programme quality, both for agency and Ministry of Health (MoH) led programmes. SLEAC is designed to complement the Semi-quantitative Evaluation of Access and Coverage (SQUEAC) method. This package provides functions for use in conducting a SLEAC assessment.
License: GPL (>= 3)
Depends: R (>= 4.2.0)
Imports: cli, methods, parallel, parallelly, stats
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 3.0.0), tibble
Encoding: UTF-8
Language: en-GB
LazyData: true
URL: https://nutriverse.io/sleacr/, https://github.com/nutriverse/sleacr
BugReports: https://github.com/nutriverse/sleacr/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-31 21:40:03 UTC; ernestguevarra
Author: Ernest Guevarra [aut, cre, cph] , Mark Myatt [aut, cph]
Maintainer: Ernest Guevarra <ernest@guevarra.io>
Repository: CRAN
Date/Publication: 2026-02-03 14:30:02 UTC

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New package rcatfish with initial version 1.0.0
Package: rcatfish
Version: 1.0.0
Date: 2026-1-29
Title: An R Interface to the California Academy of Sciences Eschmeyer's Catalog of Fishes
Depends: R (>= 4.4.0)
Imports: curl (>= 5.2.1), httr (>= 1.4.7), jsonlite (>= 1.8.9), lubridate (>= 1.9.3), magrittr (>= 2.0.3), qdapRegex (>= 0.7.2), RCurl (>= 1.95-4.11), rfishbase (>= 5.0.0), rvest (>= 0.3.2), stringr (>= 1.3.1), tidyr (>= 0.8.1), xml2 (>= 1.2.0)
Description: Accesses the California Academy of Sciences Eschmeyer's Catalog of Fishes in R using web requests. The Catalog of fishes is the leading authority in fish taxonomy. Functions in the package allow users to search for fish taxa and valid names, retrieve taxonomic references, retrieve monthly taxonomic changes, obtain natural history collection information, and see the number of species by taxonomic group. For more information on the Catalog: Fricke, R., Eschmeyer, W. N. & R. van der Laan (eds) 2025. ESCHMEYER'S CATALOG OF FISHES <https://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp>.
License: GPL (>= 2)
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-30 19:41:47 UTC; Sam
Author: Samuel R. Borstein [aut, cre], Brandon Dominy [aut], Brian O'Meara [aut]
Maintainer: Samuel R. Borstein <sam@borstein.com>
Repository: CRAN
Date/Publication: 2026-02-03 14:10:09 UTC

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Package ergm.sign updated to version 0.1.2 with previous version 0.1.1 dated 2025-12-11

Title: Exponential-Family Models for Signed Networks
Description: Extends the 'ergm.multi' packages from the Statnet suite to fit (temporal) exponential-family random graph models for signed networks. The framework models positive and negative ties as interdependent, which allows estimation and testing of structural balance theory. The package also includes options for descriptive summaries, visualization, and simulation of signed networks. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Fritz, C., Mehrl, M., Thurner, P. W., & Kauermann, G. (2025) <doi:10.1017/pan.2024.21>.
Author: Marc Schalberger [cre], Cornelius Fritz [aut], Pavel Krivitsky [ctb]
Maintainer: Marc Schalberger <m.schalberger@fu-berlin.de>

Diff between ergm.sign versions 0.1.1 dated 2025-12-11 and 0.1.2 dated 2026-02-03

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New package SepTest with initial version 0.0.1
Package: SepTest
Title: Tests for First-Order Separability in Spatio-Temporal Point Processes
Version: 0.0.1
Date: 2026-01-18
Maintainer: Mohammad Ghorbani <mohammad.ghorbani@slu.se>
Author: Mohammad Ghorbani [aut, cre], Nafiseh Vafaei [aut]
Description: Provides statistical tools for testing first-order separability in spatio-temporal point processes, that is, assessing whether the spatio-temporal intensity function can be expressed as the product of spatial and temporal components. The package implements several hypothesis tests, including exact and asymptotic methods for Poisson and non-Poisson processes. Methods include global envelope tests, chi-squared type statistics, and a novel Hilbert-Schmidt independence criterion (HSIC) test, all with both block and pure permutation procedures. Simulation studies and real world examples, including the 2001 UK foot and mouth disease outbreak data, illustrate the utility of the proposed methods. The package contains all simulation studies and applications presented in Ghorbani et al. (2021) <doi:10.1016/j.csda.2021.107245> and Ghorbani et al. (2025) <doi:10.1007/s11749-025-00972-y>.
License: GPL-3
Encoding: UTF-8
Imports: combinat, dHSIC, fields, GET, ggplot2, graphics, MASS, patchwork, reshape2, scatterplot3d, spatstat.explore, spatstat.geom, spatstat.model, splancs, stats
Suggests: testthat (>= 3.0.0), rmarkdown, pkgdown, knitr, spatstat, stpp, RColorBrewer, plot3D
BugReports: https://github.com/mghorbani01/SepTest/issues
URL: https://github.com/mghorbani01/SepTest
NeedsCompilation: no
Packaged: 2026-01-30 12:57:20 UTC; mdgi0001
Repository: CRAN
Date/Publication: 2026-02-03 13:30:14 UTC

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New package SemiparMF with initial version 1.0.0
Package: SemiparMF
Title: Semiparametric Spatiotemporal Model with Mixed Frequencies
Version: 1.0.0
Description: Fits a semiparametric spatiotemporal model for data with mixed frequencies, specifically where the response variable is observed at a lower frequency than some covariates. The estimation uses an iterative backfitting algorithm that combines a non-parametric smoothing spline for high-frequency data, parametric estimation for low-frequency and spatial neighborhood effects, and an autoregressive error structure. Methodology based on Malabanan, Lansangan, and Barrios (2022) <https://scienggj.org/2022/SciEnggJ%202022-vol15-no02-p90-107-Malabanan%20et%20al.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, sf, spdep, stats, utils
Suggests: testthat (>= 3.0.0)
URL: https://github.com/jzeuzs/SemiparMF, https://semiparmf.j3z.dev
BugReports: https://github.com/jzeuzs/SemiparMF/issues
NeedsCompilation: no
Packaged: 2026-01-30 10:27:55 UTC; jez
Author: Jezzu Morrisen Quimosing [aut, cre, cph]
Maintainer: Jezzu Morrisen Quimosing <mail@j3z.dev>
Repository: CRAN
Date/Publication: 2026-02-03 13:20:06 UTC

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New package scenfire with initial version 0.1.0
Package: scenfire
Title: Post-Processing Algorithm for Integrating Wildfire Simulations
Version: 0.1.0
Description: A specialized selection algorithm designed to align simulated fire perimeters with specific fire size distribution scenarios. The foundation of this approach lies in generating a vast collection of plausible simulated fires across a wide range of conditions, assuming a random pattern of ignition. The algorithm then assembles individual fire perimeters based on their specific probabilities of occurrence, e.g., determined by (i) the likelihood of ignition and (ii) the probability of particular fire-weather scenarios, including wind speed and direction. Implements the method presented in Rodrigues (2025a) <doi:10.5194/egusphere-egu25-8974>. Demo data and code examples can be found in Rodrigues (2025b) <doi:10.5281/zenodo.15282605>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, foreach, methods, readr, sf, terra, tidyr, rlang, stringr, doParallel, tidyselect
Depends: R (>= 4.1.0)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-30 08:36:10 UTC; lgimeno
Author: Marcos Rodrigues [aut, cre]
Maintainer: Marcos Rodrigues <rmarcos@unizar.es>
Repository: CRAN
Date/Publication: 2026-02-03 13:10:01 UTC

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New package multiRec with initial version 1.0.6
Package: multiRec
Title: Analysis of Multi-Type Recurrent Events
Version: 1.0.6
Maintainer: Alokananda Ghosh <aghosh@alum.mit.edu>
Author: Naji Younes [aut], Alokananda Ghosh [aut, cre], Medhasweta Sen [aut]
Depends: R (>= 4.2.0)
Description: Implements likelihood-based estimation and diagnostics for multi-type recurrent event data with dynamic risk that depends on prior events and accommodates terminating events. Methods are described in Ghosh, Chan, Younes and Davis (2023) "A Dynamic Risk Model for Multitype Recurrent Events" <doi:10.1093/aje/kwac213>.
Imports: survival, numDeriv, MASS, Rfast
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2026-01-30 09:44:14 UTC; aghosh
Repository: CRAN
Date/Publication: 2026-02-03 13:20:02 UTC

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Package ICAOD readmission to version 1.0.2 with previous version 1.0.1 dated 2020-10-11

Title: Optimal Designs for Nonlinear Models via ICA
Description: Finds optimal designs for nonlinear models using a metaheuristic algorithm called Imperialist Competitive Algorithm (ICA). See, for details, Masoudi et al. (2022) <doi:10.32614/RJ-2022-043>, Masoudi et al. (2017) <doi:10.1016/j.csda.2016.06.014> and Masoudi et al. (2019) <doi:10.1080/10618600.2019.1601097>.
Author: Ehsan Masoudi [aut, cre], Heinz Holling [aut], Weng Kee Wong [aut], Seongho Kim [ctb]
Maintainer: Ehsan Masoudi <esn_mud@yahoo.com>

This is a re-admission after prior archival of version 1.0.1 dated 2020-10-11

Diff between ICAOD versions 1.0.1 dated 2020-10-11 and 1.0.2 dated 2026-02-03

 DESCRIPTION                              |   18 
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 R/3-UserMinimaxFunctions.R               |   37 
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 R/6-UserBayesFunctions.R                 | 2642 ++++++++++-----------
 R/8-UserPriors.R                         |  260 +-
 R/ICABOD_help_page.R                     |   72 
 R/RcppExports.R                          |  454 +--
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 man/ICA.control.Rd                       |    2 
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 53 files changed, 5841 insertions(+), 5801 deletions(-)

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New package gipsDA with initial version 0.1.2
Package: gipsDA
Title: Training DA Models Utilizing 'gips'
Version: 0.1.2
URL: https://AntoniKingston.github.io/gipsDA/, https://github.com/AntoniKingston/gipsDA
BugReports: https://github.com/AntoniKingston/gipsDA/issues
Description: Extends classical linear and quadratic discriminant analysis by incorporating permutation group symmetries into covariance matrix estimation. The package leverages methodology from the 'gips' framework to identify and impose permutation structures that act as a form of regularization, improving stability and interpretability in settings with symmetric or exchangeable features. Several discriminant analysis variants are provided, including pooled and class-specific covariance models, as well as multi-class extensions with shared or independent symmetry structures. For more details about 'gips' methodology see and Graczyk et al. (2022) <doi:10.1214/22-AOS2174> and Chojecki, Morgen, Kołodziejek (2025, <doi:10.18637/jss.v112.i07>).
License: GPL-3
Imports: dplyr, ggplot2, gips, jsonlite, lattice, patchwork, permutations, rlang, tibble, tidyr, MASS, numbers, stringi
Suggests: mockery, testthat, roxygen2
Depends: R (>= 2.10)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-30 12:01:38 UTC; antek
Author: Antoni Zbigniew Kingston [aut], Norbert Maksymilian Frydrysiak [aut, cre], Adam Przemyslaw Chojecki [ctb]
Maintainer: Norbert Maksymilian Frydrysiak <norbert.frydrysiak@proton.me>
Repository: CRAN
Date/Publication: 2026-02-03 13:30:02 UTC

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New package findn with initial version 0.1.0
Package: findn
Title: Simulation Based Sample Size Estimation
Version: 0.1.0
Maintainer: Lukas Baumann <baumann@imbi.uni-heidelberg.de>
Description: Estimates the sample size for a test or a trial based on repeated simulation using a model based approach. Implements a method by Maruo et al. (2018) <doi:10.1080/19466315.2017.1349689> and an extension.
Imports: ggplot2, rlang, scales
License: GPL (>= 3)
Encoding: UTF-8
Suggests: covr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-01-30 14:51:56 UTC; uy240
Author: Lukas Baumann [aut, cre] , Bjoern Bornkamp [ctb]
Repository: CRAN
Date/Publication: 2026-02-03 13:40:02 UTC

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New package educabR with initial version 0.1.0
Package: educabR
Title: Download and Process Brazilian Education Data from INEP
Version: 0.1.0
Description: Download and process public education data from INEP (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira). Provides functions to access microdata from the School Census (Censo Escolar), ENEM (Exame Nacional do Ensino Médio), IDEB (Índice de Desenvolvimento da Educação Básica), and other educational datasets. Returns data in tidy format ready for analysis. Data source: INEP Open Data Portal <https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/SidneyBissoli/educabR, https://sidneybissoli.github.io/educabR/
BugReports: https://github.com/SidneyBissoli/educabR/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, httr2, purrr, readr, rlang, stringr, tidyr, tools
Suggests: ggplot2, knitr, readxl, rmarkdown, testthat (>= 3.0.0), tibble, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-30 13:17:33 UTC; SIDNEY
Author: Sidney da Silva Pereira Bissoli [aut, cre]
Maintainer: Sidney da Silva Pereira Bissoli <sbissoli76@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 13:30:08 UTC

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New package BayesMallowsSMC2 with initial version 0.2.0
Package: BayesMallowsSMC2
Title: Nested Sequential Monte Carlo for the Bayesian Mallows Model
Version: 0.2.0
Description: Provides nested sequential Monte Carlo algorithms for performing sequential inference in the Bayesian Mallows model, which is a widely used probability model for rank and preference data. The package implements the SMC2 (Sequential Monte Carlo Squared) algorithm for handling sequentially arriving rankings and pairwise preferences, including support for complete rankings, partial rankings, and pairwise comparisons. The methods are based on Sorensen (2025) <doi:10.1214/25-BA1564>.
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, ggplot2, Rdpack
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), label.switching (>= 1.8)
NeedsCompilation: yes
Packaged: 2026-01-30 10:09:40 UTC; oyss
Author: Oystein Sorensen [aut, cre]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 13:10:06 UTC

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Package Ternary updated to version 2.3.6 with previous version 2.3.5 dated 2025-09-03

Title: Create Ternary and Holdridge Plots
Description: Plots ternary diagrams (simplex plots / Gibbs triangles) and Holdridge life zone plots <doi:10.1126/science.105.2727.367> using the standard graphics functions. Allows custom annotation, interpolating, contouring and scaling of plotting region. Includes a 'Shiny' user interface for point-and-click ternary plotting. An alternative to 'ggtern', which uses the 'ggplot2' family of plotting functions.
Author: Martin R. Smith [aut, cre, cph] , Lilian Sanselme [ctb]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between Ternary versions 2.3.5 dated 2025-09-03 and 2.3.6 dated 2026-02-03

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 tests/testthat/test-Contours.R |  552 ++++++++++++++++++++---------------------
 20 files changed, 726 insertions(+), 712 deletions(-)

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New package sasif with initial version 0.1.2
Package: sasif
Title: 'SAS' IF Style Data Step Logic for Data Tables
Version: 0.1.2
Description: Provides 'SAS'-style IF/ELSE chains, independent IF rules, and DELETE logic for 'data.table', enabling clinical programmers to express Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM)-style derivations in familiar SAS-like syntax. Methods are informed by clinical data standards described in CDISC SDTM and ADaM implementation guides. See <https://www.cdisc.org/standards/foundational/sdtm> and <https://www.cdisc.org/standards/foundational/adam>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table
NeedsCompilation: no
Packaged: 2026-01-30 03:24:58 UTC; Thiyagarajan
Author: Thiyagarajan Chandrasekaran [aut, cre]
Maintainer: Thiyagarajan Chandrasekaran <chandrt23@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 12:40:02 UTC

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Package Rrepest updated to version 1.6.11 with previous version 1.6.9 dated 2026-01-07

Title: An Analyzer of International Large Scale Assessments in Education
Description: An easy way to analyze international large-scale assessments and surveys in education or any other dataset that includes replicated weights (Balanced Repeated Replication (BRR) weights, Jackknife replicate weights,...) while also allowing for analysis with multiply imputed variables (plausible values). It supports the estimation of univariate statistics (e.g. mean, variance, standard deviation, quantiles), frequencies, correlation, linear regression and any other model already implemented in R that takes a data frame and weights as parameters. It also includes options to prepare the results for publication, following the table formatting standards of the Organization for Economic Cooperation and Development (OECD).
Author: Rodolfo Ilizaliturri [aut, cre], Francesco Avvisati [aut], Francois Keslair [aut]
Maintainer: Rodolfo Ilizaliturri <rodolfo.ilizaliturri@oecd.org>

Diff between Rrepest versions 1.6.9 dated 2026-01-07 and 1.6.11 dated 2026-02-03

 DESCRIPTION               |    6 +++---
 MD5                       |    8 ++++----
 R/flags.R                 |    4 ++--
 R/pv_rrepest_statistics.R |   13 +++++++++----
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 5 files changed, 19 insertions(+), 14 deletions(-)

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New package phinterval with initial version 1.0.0
Package: phinterval
Title: Set Operations on Time Intervals
Version: 1.0.0
Description: Implements the phinterval vector class for representing time spans that may contain gaps (disjoint intervals) or be empty. This class generalizes the 'lubridate' package's interval class to support vectorized set operations (intersection, union, difference, complement) that always return a valid time span, even when disjoint or empty intervals are created.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/EthanSansom/phinterval, https://ethansansom.github.io/phinterval/
BugReports: https://github.com/EthanSansom/phinterval/issues
Depends: R (>= 4.0.0)
Imports: lubridate, methods, pillar, Rcpp, rlang, tibble, tzdb, vctrs (>= 0.7.0)
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0), tidyr, withr
LinkingTo: Rcpp, tzdb
VignetteBuilder: knitr
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-01-29 22:40:09 UTC; ethansansom
Author: Ethan Sansom [aut, cre, cph]
Maintainer: Ethan Sansom <ethan.sansom29@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 12:40:06 UTC

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New package multiSA with initial version 0.1.0
Package: multiSA
Title: Multi-Stock Assessment
Version: 0.1.0
Date: 2026-01-16
Maintainer: Quang Huynh <quang@bluematterscience.com>
Description: Implementation of a next-generation, multi-stock age-structured fisheries assessment model. 'multiSA' is intended for use in mixed fisheries where stock composition can not be readily identified in fishery data alone, e.g., from catch and age/length composition. Models can be fitted to genetic data, e.g., stock composition of catches and close-kin pairs, with seasonal stock availability and movement.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: dplyr, gplots, graphics, methods, pbapply, reshape2, rmarkdown, snowfall, stats, tinyplot, RTMB (>= 1.7), TMB, utils
Suggests: numDeriv, RTMBdist, usethis
LazyLoad: yes
Encoding: UTF-8
URL: https://blue-matter.github.io/multiSA/, https://github.com/Blue-Matter/multiSA
BugReports: https://github.com/Blue-Matter/multiSA/issues
NeedsCompilation: no
Packaged: 2026-01-29 23:31:49 UTC; quang
Author: Quang Huynh [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-03 12:40:13 UTC

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New package MADtests with initial version 0.1.1
Package: MADtests
Title: Hypothesis Tests and Confidence Intervals for Median Absolute Deviations
Version: 0.1.1
Maintainer: Luke A. Prendergast <luke.prendergast@latrobe.edu.au>
Description: Conducts one- and two-sample hypothesis tests for median absolute deviations (mads) for robust inference of dispersion. Comparisons between two samples uses the ratio of mads. Confidence intervals are also computed.
Imports: gld, stats
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-01-29 21:56:34 UTC; LPrendergast
Author: Luke A. Prendergast [cre, aut] , Chandima Arachchige [aut]
Repository: CRAN
Date/Publication: 2026-02-03 12:40:26 UTC

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Package hicp updated to version 1.1.0 with previous version 1.0.2 dated 2026-01-19

Title: Harmonised Index of Consumer Prices
Description: The Harmonised Index of Consumer Prices (HICP) is the key economic figure to measure inflation in the euro area. The methodology underlying the HICP is documented in the HICP Methodological Manual (<https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/w/ks-gq-24-003>). Based on the manual, this package provides functions to access and work with HICP data from Eurostat's public database (<https://ec.europa.eu/eurostat/data/database>).
Author: Sebastian Weinand [aut, cre]
Maintainer: Sebastian Weinand <sebastian.weinand@ec.europa.eu>

Diff between hicp versions 1.0.2 dated 2026-01-19 and 1.1.0 dated 2026-02-03

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 53 files changed, 1798 insertions(+), 2029 deletions(-)

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Package deaR updated to version 1.5.3 with previous version 1.5.2 dated 2025-10-14

Title: Conventional and Fuzzy Data Envelopment Analysis
Description: Set of functions for Data Envelopment Analysis, including classical, fuzzy, cross-efficiency, bootstrapping, and Malmquist models. See: Banker, R.; Charnes, A.; Cooper, W.W. (1984). <doi:10.1287/mnsc.30.9.1078>, Charnes, A.; Cooper, W.W.; Rhodes, E. (1978). <doi:10.1016/0377-2217(78)90138-8> and Charnes, A.; Cooper, W.W.; Rhodes, E. (1981). <doi:10.1287/mnsc.27.6.668>.
Author: Vicente Bolos [aut, cre], Vicente Coll-Serrano [aut], Rafael Benitez Suarez [aut]
Maintainer: Vicente Bolos <vicente.bolos@uv.es>

Diff between deaR versions 1.5.2 dated 2025-10-14 and 1.5.3 dated 2026-02-03

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Package ProfileGLMM updated to version 1.1.0 with previous version 1.0.2 dated 2025-12-18

Title: Bayesian Profile Regression using Generalised Linear Mixed Models
Description: Implements a Bayesian profile regression using a generalized linear mixed model as output model. The package allows for binary (probit mixed model) and continuous (linear mixed model) outcomes and both continuous and categorical clustering variables. The package utilizes 'RcppArmadillo' and 'RcppDist' for high-performance statistical computing in C++. For more details see Amestoy & al. (2025) <doi:10.48550/arXiv.2510.08304>.
Author: Matteo Amestoy [aut, cre, cph], Mark van de Wiel [ths], Wessel van Wieringen [ths]
Maintainer: Matteo Amestoy <m.amestoy@amsterdamumc.nl>

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Package nnmf updated to version 1.1 with previous version 1.0 dated 2026-01-09

Title: Nonnegative Matrix Factorization
Description: Nonnegative matrix factorization (NMF) is a technique to factorize a matrix with nonnegative values into the product of two matrices. Covariates are also allowed. Parallel computing is an option to enhance the speed and high-dimensional and large scale (and/or sparse) data are allowed. Relevant papers include: Wang Y. X. and Zhang Y. J. (2012). Nonnegative matrix factorization: A comprehensive review. IEEE Transactions on Knowledge and Data Engineering, 25(6), 1336-1353 <doi:10.1109/TKDE.2012.51> and Kim H. and Park H. (2008). Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM Journal on Matrix Analysis and Applications, 30(2), 713-730 <doi:10.1137/07069239X>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package nat.nblast updated to version 1.6.9 with previous version 1.6.8 dated 2025-08-18

Title: NeuroAnatomy Toolbox ('nat') Extension for Assessing Neuron Similarity and Clustering
Description: Extends package 'nat' (NeuroAnatomy Toolbox) by providing a collection of NBLAST-related functions for neuronal morphology comparison (Costa et al. (2016) <doi: 10.1016/j.neuron.2016.06.012>).
Author: Gregory Jefferis [aut, cre] , James Manton [aut]
Maintainer: Gregory Jefferis <jefferis@gmail.com>

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Package longevity updated to version 1.3 with previous version 1.2.2 dated 2025-08-22

Title: Statistical Methods for the Analysis of Excess Lifetimes
Description: A collection of parametric and nonparametric methods for the analysis of survival data. Parametric families implemented include Gompertz-Makeham, exponential and generalized Pareto models and extended models. The package includes an implementation of the nonparametric maximum likelihood estimator for arbitrary truncation and censoring pattern based on Turnbull (1976) <doi:10.1111/j.2517-6161.1976.tb01597.x>, along with graphical goodness-of-fit diagnostics. Parametric models for positive random variables and peaks over threshold models based on extreme value theory are described in Rootzén and Zholud (2017) <doi:10.1007/s10687-017-0305-5>; Belzile et al. (2021) <doi:10.1098/rsos.202097> and Belzile et al. (2022) <doi:10.1146/annurev-statistics-040120-025426>.
Author: Leo Belzile [aut, cre] , Mitchell O'Hara-Wild [ctb]
Maintainer: Leo Belzile <belzilel@gmail.com>

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Package biometryassist updated to version 1.4.0 with previous version 1.3.3 dated 2025-09-15

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 baselinenowcast with initial version 0.2.0
Package: baselinenowcast
Title: Baseline Nowcasting for Right-Truncated Epidemiological Data
Version: 0.2.0
Description: Nowcasting right-truncated epidemiological data is critical for timely public health decision-making, as reporting delays can create misleading impressions of declining trends in recent data. This package provides nowcasting methods based on using empirical delay distributions and uncertainty from past performance. It is also designed to be used as a baseline method for developers of new nowcasting methods. For more details on the performance of the method(s) in this package applied to case studies of COVID-19 and norovirus, see our recent paper at <https://wellcomeopenresearch.org/articles/10-614>. The package supports standard data frame inputs with reference date, report date, and count columns, as well as the direct use of reporting triangles, and is compatible with 'epinowcast' objects. Alongside an opinionated default workflow, it has a low-level pipe-friendly modular interface, allowing context-specific workflows. It can accommodate a wide spectrum of reporting schedules, [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/epinowcast/baselinenowcast, https://baselinenowcast.epinowcast.org
BugReports: https://github.com/epinowcast/baselinenowcast/issues
Depends: R (>= 4.1.0)
Imports: cli, checkmate, stats, utils, rlang, purrr
Suggests: bookdown, ChainLadder, dplyr, tidyr, stringr, lubridate, readr, ggplot2, spelling, rmarkdown, testthat (>= 3.1.9), usethis, withr, knitr, zoo, glue
Encoding: UTF-8
Language: en-GB
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-29 14:19:15 UTC; lshkj18
Author: Kaitlyn Johnson [aut, cre, cph] , Emily Tyszka [aut] , Johannes Bracher [aut] , Sebastian Funk [aut] , Sam Abbott [aut] , Tim Taylor [ctb]
Maintainer: Kaitlyn Johnson <kaitlyn.johnson@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2026-02-03 11:10:07 UTC

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New package spanner with initial version 1.0.2
Package: spanner
Title: Utilities to Support Lidar Applications at the Landscape, Forest, and Tree Scale
Version: 1.0.2
Date: 2026-01-19
Description: Implements algorithms for terrestrial, mobile, and airborne lidar processing, tree detection, segmentation, and attribute estimation (Donager et al., 2021) <doi:10.3390/rs13122297>, and a hierarchical patch delineation algorithm 'PatchMorph' (Girvetz & Greco, 2007) <doi:10.1007/s10980-007-9104-8>. Tree detection uses rasterized point cloud metrics (relative neighborhood density and verticality) combined with RANSAC cylinder fitting to locate tree boles and estimate diameter at breast height. Tree segmentation applies graph-theory approaches inspired by Tao et al. (2015) <doi:10.1016/j.isprsjprs.2015.08.007> with cylinder fitting methods from de Conto et al. (2017) <doi:10.1016/j.compag.2017.07.019>. PatchMorph delineates habitat patches across spatial scales using organism-specific thresholds. Built on 'lidR' (Roussel et al., 2020) <doi:10.1016/j.rse.2020.112061>.
URL: https://github.com/bi0m3trics/spanner
License: GPL-3
Encoding: UTF-8
LinkingTo: lidR, RcppArmadillo, Rcpp (>= 1.0.13), RcppEigen, BH,
Imports: Rcpp (>= 1.0.13), conicfit, FNN, RANN, cppRouting, sf, terra, sfheaders, Rfast, geometry, dplyr, mathjaxr, data.table
Depends: R (>= 4.0.0), lidR (>= 4.2.0),
Suggests: testthat (>= 3.0.0), magick, rgl, rstac
NeedsCompilation: yes
Packaged: 2026-01-29 02:44:22 UTC; ajsm
Author: Andrew Sanchez Meador [aut, cre, ctb] , Jonathon Donager [aut, ctb] , Blackburn Ryan [aut, ctb] , Cannon Jeffery [ctb] , Tiago de Conto [ctb, cph] , Keith O'Hara [ctb, cph]
Maintainer: Andrew Sanchez Meador <Andrew.SanchezMeador@nau.edu>
Repository: CRAN
Date/Publication: 2026-02-03 10:30:02 UTC

More information about spanner at CRAN
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Package ribiosUtils readmission to version 1.7.7 with previous version 1.5-6 dated 2020-03-06

Title: Utilities from and Interface to the 'Bioinfo-C' ('BIOS') Library
Description: Provides interface to the 'Bioinfo-C' (internal name: 'BIOS') library and utilities. 'ribiosUtils' is a Swiss-knife for computational biology in drug discovery, providing functions and utilities with minimal external dependency and maximal efficiency.
Author: Jitao David Zhang [aut, cre, ctb] , Clemens Broger [aut, ctb], F.Hoffmann-La Roche AG [cph], Junio C Hamano [cph], Jean Thierry-Mieg [cph], Konrad Rudolph [cph], Richard Durbin [cph]
Maintainer: Jitao David Zhang <jitao_david.zhang@roche.com>

This is a re-admission after prior archival of version 1.5-6 dated 2020-03-06

Diff between ribiosUtils versions 1.5-6 dated 2020-03-06 and 1.7.7 dated 2026-02-03

 ribiosUtils-1.5-6/ribiosUtils/R/openFileDevice.R                                                       |only
 ribiosUtils-1.5-6/ribiosUtils/man/getDefaultFontFamily.Rd                                              |only
 ribiosUtils-1.5-6/ribiosUtils/man/openFileDevice.Rd                                                    |only
 ribiosUtils-1.5-6/ribiosUtils/tests/test_extname.R                                                     |only
 ribiosUtils-1.5-6/ribiosUtils/tests/test_matchColumn.R                                                 |only
 ribiosUtils-1.5-6/ribiosUtils/tests/test_matrix2longdf.R                                               |only
 ribiosUtils-1.5-6/ribiosUtils/tests/test_mmatch.R                                                      |only
 ribiosUtils-1.5-6/ribiosUtils/tests/test_openFileDevice.R                                              |only
 ribiosUtils-1.5-6/ribiosUtils/tests/test_pwdecode.R                                                    |only
 ribiosUtils-1.5-6/ribiosUtils/tests/test_summarizeRows.R                                               |only
 ribiosUtils-1.7.7/ribiosUtils/DESCRIPTION                                                              |   29 -
 ribiosUtils-1.7.7/ribiosUtils/MD5                                                                      |  173 +++++---
 ribiosUtils-1.7.7/ribiosUtils/NAMESPACE                                                                |   45 +-
 ribiosUtils-1.7.7/ribiosUtils/NEWS                                                                     |    9 
 ribiosUtils-1.7.7/ribiosUtils/R/bedaInfo.R                                                             |    8 
 ribiosUtils-1.7.7/ribiosUtils/R/bound.R                                                                |only
 ribiosUtils-1.7.7/ribiosUtils/R/corByRownames.R                                                        |only
 ribiosUtils-1.7.7/ribiosUtils/R/cuttreeIntoOrderedGroups.R                                             |only
 ribiosUtils-1.7.7/ribiosUtils/R/dfmat.R                                                                |  204 +++++++++-
 ribiosUtils-1.7.7/ribiosUtils/R/factor.R                                                               |   16 
 ribiosUtils-1.7.7/ribiosUtils/R/file_dir.R                                                             |  116 +++++
 ribiosUtils-1.7.7/ribiosUtils/R/invertList.R                                                           |only
 ribiosUtils-1.7.7/ribiosUtils/R/isOdd.R                                                                |only
 ribiosUtils-1.7.7/ribiosUtils/R/libordie.R                                                             |   13 
 ribiosUtils-1.7.7/ribiosUtils/R/matchColumn.R                                                          |    2 
 ribiosUtils-1.7.7/ribiosUtils/R/microwellPlates.R                                                      |only
 ribiosUtils-1.7.7/ribiosUtils/R/midentical.R                                                           |   18 
 ribiosUtils-1.7.7/ribiosUtils/R/mmatch.R                                                               |    3 
 ribiosUtils-1.7.7/ribiosUtils/R/pScore.R                                                               |   62 ++-
 ribiosUtils-1.7.7/ribiosUtils/R/removeRowsWithAnyNA.R                                                  |only
 ribiosUtils-1.7.7/ribiosUtils/R/ribiosUtils.R                                                          |    8 
 ribiosUtils-1.7.7/ribiosUtils/R/rocheCompound.R                                                        |   21 -
 ribiosUtils-1.7.7/ribiosUtils/R/rowscale.R                                                             |   34 +
 ribiosUtils-1.7.7/ribiosUtils/R/rrank.R                                                                |only
 ribiosUtils-1.7.7/ribiosUtils/R/scripting.R                                                            |    6 
 ribiosUtils-1.7.7/ribiosUtils/R/string.R                                                               |   21 +
 ribiosUtils-1.7.7/ribiosUtils/R/writeLog.R                                                             |  125 +++---
 ribiosUtils-1.7.7/ribiosUtils/README.md                                                                |   20 
 ribiosUtils-1.7.7/ribiosUtils/inst/include/avlTree.h                                                   |    7 
 ribiosUtils-1.7.7/ribiosUtils/inst/include/hash.h                                                      |    3 
 ribiosUtils-1.7.7/ribiosUtils/inst/include/hlrmisc.h                                                   |    6 
 ribiosUtils-1.7.7/ribiosUtils/inst/include/ribios_utils.h                                              |   12 
 ribiosUtils-1.7.7/ribiosUtils/inst/rmarkdown/templates/ribios-rmarkdown-template/skeleton/skeleton.Rmd |    6 
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 ribiosUtils-1.7.7/ribiosUtils/man/bedaInfo.Rd                                                          |    2 
 ribiosUtils-1.7.7/ribiosUtils/man/bound.Rd                                                             |only
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 ribiosUtils-1.7.7/ribiosUtils/man/corByRownames.Rd                                                     |only
 ribiosUtils-1.7.7/ribiosUtils/man/createDir.Rd                                                         |    2 
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 ribiosUtils-1.7.7/ribiosUtils/man/firstUp.Rd                                                           |only
 ribiosUtils-1.7.7/ribiosUtils/man/invertList.Rd                                                        |only
 ribiosUtils-1.7.7/ribiosUtils/man/isOdd.Rd                                                             |only
 ribiosUtils-1.7.7/ribiosUtils/man/isRocheCompoundID.Rd                                                 |    5 
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 ribiosUtils-1.7.7/ribiosUtils/man/lastChar.Rd                                                          |only
 ribiosUtils-1.7.7/ribiosUtils/man/libordie.Rd                                                          |    9 
 ribiosUtils-1.7.7/ribiosUtils/man/matchColumn.Rd                                                       |    4 
 ribiosUtils-1.7.7/ribiosUtils/man/midentical.Rd                                                        |    5 
 ribiosUtils-1.7.7/ribiosUtils/man/mmatch.Rd                                                            |    3 
 ribiosUtils-1.7.7/ribiosUtils/man/orderCutgroup.Rd                                                     |only
 ribiosUtils-1.7.7/ribiosUtils/man/overwriteDir.Rd                                                      |only
 ribiosUtils-1.7.7/ribiosUtils/man/pAbsLog10Score.Rd                                                    |   11 
 ribiosUtils-1.7.7/ribiosUtils/man/pQnormScore.Rd                                                       |   11 
 ribiosUtils-1.7.7/ribiosUtils/man/pScore.Rd                                                            |    9 
 ribiosUtils-1.7.7/ribiosUtils/man/print.BEDAinfo.Rd                                                    |    2 
 ribiosUtils-1.7.7/ribiosUtils/man/registerLog.Rd                                                       |   65 +--
 ribiosUtils-1.7.7/ribiosUtils/man/relevels.Rd                                                          |    2 
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 ribiosUtils-1.7.7/ribiosUtils/man/removeColumnsWithNA.Rd                                               |only
 ribiosUtils-1.7.7/ribiosUtils/man/removeRowsWithNA.Rd                                                  |only
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 ribiosUtils-1.7.7/ribiosUtils/man/ribiosUtils.Rd                                                       |    1 
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 ribiosUtils-1.7.7/ribiosUtils/man/rrank.matrix.Rd                                                      |only
 ribiosUtils-1.7.7/ribiosUtils/man/rrankInd.Rd                                                          |only
 ribiosUtils-1.7.7/ribiosUtils/man/scriptInit.Rd                                                        |    2 
 ribiosUtils-1.7.7/ribiosUtils/man/shortenRocheCompoundID.Rd                                            |only
 ribiosUtils-1.7.7/ribiosUtils/man/wellIndex2position.Rd                                                |only
 ribiosUtils-1.7.7/ribiosUtils/man/writeLog.Rd                                                          |   32 -
 ribiosUtils-1.7.7/ribiosUtils/src/Makevars                                                             |   11 
 ribiosUtils-1.7.7/ribiosUtils/src/avlTree.c                                                            |   58 +-
 ribiosUtils-1.7.7/ribiosUtils/src/binalgparser.c                                                       |    4 
 ribiosUtils-1.7.7/ribiosUtils/src/blastdb.c                                                            |    5 
 ribiosUtils-1.7.7/ribiosUtils/src/chemutil.c                                                           |    4 
 ribiosUtils-1.7.7/ribiosUtils/src/forest.c                                                             |    4 
 ribiosUtils-1.7.7/ribiosUtils/src/format.c                                                             |    6 
 ribiosUtils-1.7.7/ribiosUtils/src/hash.c                                                               |    5 
 ribiosUtils-1.7.7/ribiosUtils/src/html.c                                                               |    8 
 ribiosUtils-1.7.7/ribiosUtils/src/init.c                                                               |   14 
 ribiosUtils-1.7.7/ribiosUtils/src/linestream.c                                                         |    2 
 ribiosUtils-1.7.7/ribiosUtils/src/log.c                                                                |   12 
 ribiosUtils-1.7.7/ribiosUtils/src/properties.c                                                         |    1 
 ribiosUtils-1.7.7/ribiosUtils/src/r_mmatch.c                                                           |    7 
 ribiosUtils-1.7.7/ribiosUtils/src/sequenceAlignment.c                                                  |    4 
 ribiosUtils-1.7.7/ribiosUtils/src/statistics.c                                                         |    2 
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_cbindByRownames.R                                    |only
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_corByRownames.R                                      |only
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_equalWidthWellLabels.R                               |only
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_extname.R                                            |only
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_file_dir.R                                           |only
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_matchColumn.R                                        |only
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_matrix2longdf.R                                      |only
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_mmatch.R                                             |only
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_pScore.R                                             |   18 
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_pwdecode.R                                           |only
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_relevels.R                                           |only
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_removeRowsWithNA.R                                   |only
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_rocheCompound.R                                      |   12 
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_str.R                                                |   19 
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_summarizeRows.R                                      |only
 ribiosUtils-1.7.7/ribiosUtils/tests/testthat/test_wellIndex2position.R                                 |only
 115 files changed, 971 insertions(+), 357 deletions(-)

More information about ribiosUtils at CRAN
Permanent link

New package opusreader2 with initial version 0.6.8
Package: opusreader2
Title: Read Spectroscopic Data from Bruker OPUS Binary Files
Version: 0.6.8
Description: Reads data from Bruker OPUS binary files of Fourier-Transform infrared spectrometers of the company Bruker Optics GmbH & Co. This package is released independently from Bruker, and Bruker and OPUS are registered trademarks of Bruker Optics GmbH & Co. KG. <https://www.bruker.com/en/products-and-solutions/infrared-and-raman/opus-spectroscopy-software/latest-release.html>. It lets you import both measurement data and parameters from OPUS files. The main method is `read_opus()`, which reads one or multiple OPUS files into a standardized list class. Behind the scenes, the reader parses the file header for assigning spectral blocks and reading binary data from the respective byte positions, using a reverse engineering approach. Infrared spectroscopy combined with chemometrics and machine learning is an established method to scale up chemical diagnostics in various industries and scientific fields.
License: MIT + file LICENSE
URL: https://opusreader2.spectral-cockpit.codefloe.page/, https://codefloe.com/spectral-cockpit/opusreader2/
BugReports: https://codefloe.com/spectral-cockpit/opusreader2/issues/
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), progressr, mirai (>= 2.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Language: en-US
Packaged: 2026-01-29 05:14:13 UTC; philipp
Author: Philipp Baumann [aut, cre] , Thomas Knecht [aut], Pierre Roudier [aut] , spectral-cockpit.com [cph, fnd]
Maintainer: Philipp Baumann <baumann-philipp@protonmail.ch>
Repository: CRAN
Date/Publication: 2026-02-03 10:30:08 UTC

More information about opusreader2 at CRAN
Permanent link

New package nomiShape with initial version 1.0.0
Package: nomiShape
Title: Visualization and Analysis of Nominal Variable Distributions
Version: 1.0.0
Description: Provides tools for visualizing and analyzing the shape of discrete nominal frequency distributions. The package introduces centered frequency plots, in which nominal categories are ordered from the most frequent category at the center toward less frequent categories on both sides, facilitating the detection of distributional patterns such as uniformity, dominance, symmetry, skewness, and long-tail behavior. In addition, the package supports Pareto charts for the study of dominance and cumulative frequency structure in nominal data. The package is designed for exploratory data analysis and statistical teaching, offering visualizations that emphasize distributional form rather than arbitrary category ordering.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Imports: dplyr, ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-29 10:33:28 UTC; norberello
Author: Norberto Asensio [aut, cre]
Maintainer: Norberto Asensio <norberto.asensio@ehu.eus>
Repository: CRAN
Date/Publication: 2026-02-03 10:40:02 UTC

More information about nomiShape at CRAN
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Package koRpus updated to version 0.13-9 with previous version 0.13-8 dated 2021-05-17

Title: Text Analysis with Emphasis on POS Tagging, Readability, and Lexical Diversity
Description: A set of tools to analyze texts. Includes, amongst others, functions for automatic language detection, hyphenation, several indices of lexical diversity (e.g., type token ratio, HD-D/vocd-D, MTLD) and readability (e.g., Flesch, SMOG, LIX, Dale-Chall). Basic import functions for language corpora are also provided, to enable frequency analyses (supports Celex and Leipzig Corpora Collection file formats) and measures like tf-idf. Note: For full functionality a local installation of TreeTagger is recommended. It is also recommended to not load this package directly, but by loading one of the available language support packages from the 'l10n' repository <https://undocumeantit.github.io/repos/l10n/>. 'koRpus' also includes a plugin for the R GUI and IDE RKWard, providing graphical dialogs for its basic features. The respective R package 'rkward' cannot be installed directly from a repository, as it is a part of RKWard. To make full use of this feature, please install RKWard from <h [...truncated...]
Author: Meik Michalke [aut, cre], Earl Brown [ctb], Alberto Mirisola [ctb], Alexandre Brulet [ctb], Laura Hauser [ctb]
Maintainer: Meik Michalke <meik.michalke@hhu.de>

Diff between koRpus versions 0.13-8 dated 2021-05-17 and 0.13-9 dated 2026-02-03

 ChangeLog                           | 1222 ++++++++++++++++++-----------------
 DESCRIPTION                         |   55 -
 MD5                                 |  110 +--
 R/01_class_01_kRp.text.R            |   11 
 R/01_class_02_kRp.TTR.R             |  217 +++---
 R/01_class_03_kRp.corp.freq.R       |    2 
 R/01_class_90_deprecated_classes.R  |    4 
 R/02_method_docTermMatrix.R         |    4 
 R/02_method_get_set_kRp.text.R      |    8 
 R/02_method_hyphen.R                |    6 
 R/02_method_lex.div.R               |    4 
 R/02_method_query.R                 |    9 
 R/02_method_readTagged.R            |   17 
 R/02_method_readability.R           |   39 -
 R/02_method_show.kRp.lang.R         |   25 
 R/02_method_textTransform.R         |   56 -
 R/02_method_tokenize.R              |   20 
 R/02_method_treetag.R               |   32 
 R/guess.lang.R                      |    6 
 R/koRpus-internal.R                 |   17 
 R/koRpus-internal.freq.analysis.R   |   18 
 R/koRpus-internal.lexdiv.formulae.R |   23 
 R/koRpus-internal.rdb.formulae.R    |   35 -
 R/koRpus-package.R                  |   14 
 R/lex.div.num.R                     |   18 
 R/read.BAWL.R                       |    4 
 R/readability.num.R                 |    6 
 R/wrapper_functions_readability.R   |    8 
 build/partial.rdb                   |binary
 build/vignette.rds                  |binary
 inst/CITATION                       |    8 
 inst/NEWS.Rd                        | 1234 +++++++++++++++++++-----------------
 inst/doc/koRpus_vignette.R          |  163 ++--
 inst/doc/koRpus_vignette.Rmd        |   78 ++
 inst/doc/koRpus_vignette.html       |  981 ++++++++++++++++++++--------
 man/ARI.Rd                          |    2 
 man/ELF.Rd                          |    2 
 man/FOG.Rd                          |    2 
 man/docTermMatrix.Rd                |    2 
 man/guess.lang.Rd                   |    4 
 man/hyphen-methods.Rd               |    4 
 man/kRp.text-class.Rd               |    4 
 man/kRp.text_get-methods.Rd         |    6 
 man/koRpus-deprecated.Rd            |    2 
 man/koRpus-package.Rd               |    6 
 man/lex.div-methods.Rd              |    6 
 man/lex.div.num.Rd                  |   16 
 man/query-methods.Rd                |    6 
 man/read.BAWL.Rd                    |    2 
 man/readTagged-methods.Rd           |    8 
 man/readability-methods.Rd          |   59 +
 man/readability.num.Rd              |    9 
 man/textTransform-methods.Rd        |   38 -
 man/tokenize-methods.Rd             |    8 
 man/treetag-methods.Rd              |   30 
 vignettes/koRpus_vignette.Rmd       |   78 ++
 56 files changed, 2806 insertions(+), 1942 deletions(-)

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New package healthbR with initial version 0.1.0
Package: healthbR
Title: Access Brazilian Public Health Data
Version: 0.1.0
Description: Provides easy access to Brazilian public health data from multiple sources including VIGITEL (Surveillance of Risk Factors for Chronic Diseases by Telephone Survey), PNS (National Health Survey), SIM (Mortality Information System), SINASC (Live Birth Information System), and other health information systems. Data is downloaded from the Brazilian Ministry of Health VIGITEL repository <https://svs.aids.gov.br/download/Vigitel/>. Data is returned in tidy format following tidyverse conventions.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: tibble, dplyr, readxl, curl, cli, rlang, stringr, janitor, arrow, purrr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, furrr, future
VignetteBuilder: knitr
URL: https://github.com/SidneyBissoli/healthbR
BugReports: https://github.com/SidneyBissoli/healthbR/issues
NeedsCompilation: no
Packaged: 2026-01-29 11:59:13 UTC; SIDNEY
Author: Sidney Bissoli [aut, cre]
Maintainer: Sidney Bissoli <sbissoli76@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 10:40:07 UTC

More information about healthbR at CRAN
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New package CGMissingDataR with initial version 0.0.1
Package: CGMissingDataR
Title: Missingness Benchmark for Continuous Glucose Monitoring Data
Version: 0.0.1
Description: Evaluates predictive performance under feature-level missingness in repeated-measures continuous glucose monitoring-like data. The benchmark injects missing values at user-specified rates, imputes incomplete feature matrices using an iterative chained-equations approach inspired by multivariate imputation by chained equations (MICE; Azur et al. (2011) <doi:10.1002/mpr.329>), fits Random Forest regression models (Breiman (2001) <doi:10.1023/A:1010933404324>) and k-nearest-neighbor regression models (Zhang (2016) <doi:10.21037/atm.2016.03.37>), and reports mean absolute percentage error and R-squared across missingness rates.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.3)
Imports: mice, FNN, Metrics, ranger
Suggests: testthat (>= 3.0.0), spelling, knitr, rmarkdown
NeedsCompilation: no
Language: en-US
URL: https://github.com/saraswatsh/CGMissingDataR, https://saraswatsh.github.io/CGMissingDataR/
BugReports: https://github.com/saraswatsh/CGMissingDataR/issues
LazyData: true
VignetteBuilder: knitr
Packaged: 2026-01-29 02:57:52 UTC; shubh
Author: Shubh Saraswat [cre, aut, cph] , Hasin Shahed Shad [aut], Xiaohua Douglas Zhang [aut]
Maintainer: Shubh Saraswat <shubh.saraswat00@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-03 10:30:15 UTC

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Package car updated to version 3.1-5 with previous version 3.1-3 dated 2024-09-27

Title: Companion to Applied Regression
Description: Functions to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage, 2019.
Author: John Fox [aut], Sanford Weisberg [aut], Brad Price [aut, cre], Daniel Adler [ctb], Douglas Bates [ctb], Gabriel Baud-Bovy [ctb], Ben Bolker [ctb], Steve Ellison [ctb], David Firth [ctb], Michael Friendly [ctb], Gregor Gorjanc [ctb], Spencer Graves [c [...truncated...]
Maintainer: Brad Price <brad.price@mail.wvu.edu>

Diff between car versions 3.1-3 dated 2024-09-27 and 3.1-5 dated 2026-02-03

 car-3.1-3/car/vignettes/plainnat.bst        |only
 car-3.1-5/car/DESCRIPTION                   |   24 +++++++++++++-----------
 car-3.1-5/car/MD5                           |   23 +++++++++++------------
 car-3.1-5/car/NEWS                          |   15 +++++++++++++++
 car-3.1-5/car/R/bcnPower.R                  |   22 +++++++++++++++-------
 car-3.1-5/car/R/carWeb.R                    |    8 ++++----
 car-3.1-5/car/R/deltaMethod.R               |    9 +++++----
 car-3.1-5/car/R/logit.R                     |   16 ++++++++++------
 car-3.1-5/car/build/vignette.rds            |binary
 car-3.1-5/car/inst/doc/embedding.pdf        |binary
 car-3.1-5/car/man/deltaMethod.Rd            |   14 ++++++++++++++
 car-3.1-5/car/man/influence-mixed-models.Rd |    5 +++++
 car-3.1-5/car/man/logit.Rd                  |    3 ++-
 13 files changed, 94 insertions(+), 45 deletions(-)

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Package antaresEditObject updated to version 1.0.0 with previous version 0.9.3 dated 2025-11-17

Title: Edit an 'Antares' Simulation
Description: Edit an 'Antares' simulation before running it : create new areas, links, thermal clusters or binding constraints or edit existing ones. Update 'Antares' general & optimization settings. 'Antares' is an open source power system generator, more information available here : <https://antares-simulator.org/>.
Author: Tatiana Vargas [aut, cre], Frederic Breant [ctb], Victor Perrier [ctb], Baptiste Seguinot [ctb], Benoit Thieurmel [ctb], Titouan Robert [ctb], Jalal-Edine Zawam [ctb], Etienne Sanchez [ctb], Janus De Bondt [ctb], Assil Mansouri [ctb], Abdallah Mahoud [...truncated...]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>

Diff between antaresEditObject versions 0.9.3 dated 2025-11-17 and 1.0.0 dated 2026-02-03

 DESCRIPTION                                   |    6 
 MD5                                           |   41 +--
 NAMESPACE                                     |    2 
 NEWS.md                                       |   22 +
 R/createBindingConstraint.R                   |   48 +++
 R/createStudy.R                               |    3 
 R/district.R                                  |  329 +++++++++++++++++++++-----
 R/editBindingConstraint.R                     |    4 
 R/runSimulation.R                             |    6 
 R/runTsGenerator.R                            |    6 
 R/utils.R                                     |   11 
 inst/doc/Antares_new_features_v920.html       |    4 
 inst/doc/api-variant-management.html          |    2 
 inst/template-antares/antares-study-v700.zip  |binary
 inst/template-antares/antares-study-v710.zip  |binary
 inst/template-antares/antares-study-v720.zip  |binary
 inst/template-antares/antares-study-v800.zip  |binary
 man/createDistrict.Rd                         |    5 
 man/editDistrict.Rd                           |only
 man/removeDistrict.Rd                         |    2 
 tests/testthat/test-createBindingConstraint.R |   11 
 tests/testthat/test-district.R                |  146 +++++++++++
 22 files changed, 541 insertions(+), 107 deletions(-)

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Package admiral updated to version 1.4.1 with previous version 1.4.0 dated 2026-01-15

Title: ADaM in R Asset Library
Description: A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>).
Author: Ben Straub [aut, cre], Stefan Bundfuss [aut] , Matt Bearham [aut], Arianna Cascone [aut] , Kristin Dahnert [aut], Jeffrey Dickinson [aut], Ross Farrugia [aut], Fanny Gautier [aut], Edoardo Mancini [aut] , Gordon Miller [aut], Lina Patil [aut], Jim Ro [...truncated...]
Maintainer: Ben Straub <ben.x.straub@gsk.com>

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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>

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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>

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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>

Diff between omock versions 0.6.0 dated 2025-10-31 and 0.6.1 dated 2026-02-03

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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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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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