Thu, 09 Jul 2026

Package recodeflow updated to version 0.1.0.1 with previous version 0.1.0 dated 2021-06-09

Title: Interface Functions for PMML Creation, and Data Recoding
Description: Contains functions to interface with variables and variable details sheets, including recoding variables and converting them to PMML.
Author: Yulric Sequeira [aut, cre], Luke Bailey [aut], Rostyslav Vyuha [aut], The Ottawa Hospital [cph], Doug Manuel [cph]
Maintainer: Yulric Sequeira <ysequeira@ohri.ca>

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Package paran updated to version 1.5.6 with previous version 1.5.5 dated 2026-02-13

Title: Horn's Test of Principal Components/Factors
Description: An implementation of Horn's technique for numerically and graphically evaluating the components or factors retained in a principle components analysis (PCA) or common factor analysis (FA). Horn's method contrasts eigenvalues produced through a PCA or FA on a number of random data sets of uncorrelated variables with the same number of variables and observations as the experimental or observational data set to produce eigenvalues for components or factors that are adjusted for the sample error-induced inflation. Components with adjusted eigenvalues greater than one are retained. paran may also be used to conduct parallel analysis following Glorfeld's (1995) suggestions to reduce the likelihood of over-retention.
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package multiblock updated to version 0.8.11 with previous version 0.8.10 dated 2025-04-01

Title: Multiblock Data Fusion in Statistics and Machine Learning
Description: Functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1) "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting functions, several real data sets and six vignettes covering a range different applications.
Author: Kristian Hovde Liland [aut, cre] , Solve Saeboe [ctb], Stefan Schrunner [rev]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package gimap updated to version 1.1.3 with previous version 1.1.2 dated 2026-02-05

Title: Calculate Genetic Interactions for Paired CRISPR Targets
Description: Helps find meaningful patterns in complex genetic experiments. First gimap takes data from paired CRISPR (Clustered regularly interspaced short palindromic repeats) screens that has been pre-processed to counts table of paired gRNA (guide Ribonucleic Acid) reads. The input data will have cell counts for how well cells grow (or don't grow) when different genes or pairs of genes are disabled. The output of the 'gimap' package is genetic interaction scores which are the distance between the observed CRISPR score and the expected CRISPR score. The expected CRISPR scores are what we expect for the CRISPR values to be for two unrelated genes. The further away an observed CRISPR score is from its expected score the more we suspect genetic interaction. The work in this package is based off of original research from the Alice Berger lab at Fred Hutchinson Cancer Center (2021) <doi:10.1016/j.celrep.2021.109597>.
Author: Candace Savonen [aut, cre] , Phoebe C.R. Parrish [aut] , Kathryn J. Isaac [aut] , Daniel Groso [aut], Marissa Fujimoto [aut], Siobhan O'Brien [aut] , Alice H. Berger [aut]
Maintainer: Candace Savonen <cansav09@gmail.com>

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Package gbm updated to version 2.3.1 with previous version 2.3.0 dated 2026-07-08

Title: Generalized Boosted Regression Models
Description: An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart). Originally developed by Greg Ridgeway. Newer version available at <https://github.com/gbm-developers/gbm3>.
Author: Greg Ridgeway [aut, cre] , Daniel Edwards [ctb], Brian Kriegler [ctb], Stefan Schroedl [ctb], Harry Southworth [ctb], Brandon Greenwell [ctb] , Bradley Boehmke [ctb] , Jay Cunningham [ctb], GBM Developers [aut]
Maintainer: Greg Ridgeway <gridge@upenn.edu>

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Package exdqlm updated to version 1.1.0 with previous version 1.0.0 dated 2026-06-04

Title: Extended Dynamic Quantile Linear Models
Description: Bayesian quantile-regression routines for dynamic state-space models and static regression under the extended asymmetric Laplace (exAL) error distribution. The dynamic state-space models are extended dynamic quantile linear models (exDQLMs). The package combines dynamic exDQLM inference via Laplace-delta variational Bayes (LDVB), Markov chain Monte Carlo (MCMC), and legacy importance-sampling variational Bayes (ISVB) with static exAL regression via LDVB and MCMC, reduced asymmetric Laplace/dynamic quantile linear model (AL/DQLM) paths through fixed skewness, component builders for trend/seasonality/regression blocks, static shrinkage priors including ridge, regularized horseshoe, and 'rhs_ns', evidence lower bound (ELBO) diagnostics, optional C++ accelerators, and posterior predictive synthesis across separately fitted quantiles through 'quantileSynthesis()'. Dynamic exDQLM methods are described in Barata et al. (2020) <doi:10.1214/21-AOAS1497>.
Author: Raquel Barata [aut, cre], Raquel Prado [ths], Bruno Sanso [ths], Antonio Aguirre [aut]
Maintainer: Raquel Barata <raquel.a.barata@gmail.com>

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Package AeRobiology updated to version 2.0.4 with previous version 2.0.3 dated 2026-07-09

Title: A Computational Tool for Aerobiological Data
Description: Different tools for managing databases of airborne particles, elaborating the main calculations and visualization of results. In a first step, data are checked using tools for quality control and all missing gaps are completed. Then, the main parameters of the pollen season are calculated and represented graphically. Multiple graphical tools are available: pollen calendars, phenological plots, time series, tendencies, interactive plots, abundance plots...
Author: Jesus Rojo [aut], Antonio Picornell [aut], Jose Oteros [aut, cre]
Maintainer: Jose Oteros <OterosJose@gmail.com>

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Package QualityMeasure updated to version 2.0.2 with previous version 2.0.1 dated 2025-10-16

Title: Methods for Analyzing Quality Measure Performance
Description: Quality of care is compared across accountable entities, including hospitals, provider groups, and insurance plans, using standardized quality measures. However, observed variations in quality measure performance might be the result of chance sampling or measurement errors. Contains functions for estimating the reliability of unadjusted and risk-standardized quality measures.
Author: Kenneth Nieser [aut, cre, cph]
Maintainer: Kenneth Nieser <nieser@stanford.edu>

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Package pmml updated to version 2.6.1 with previous version 2.6.0 dated 2026-03-26

Title: Generate PMML for Various Models
Description: The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard and the Data Mining Group can be found at <https://dmg.org/>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products.
Author: Michael Hahsler [aut, cre], Bruno Rodrigues [aut], Dmitriy Bolotov [aut], Tridivesh Jena [aut], Graham Williams [aut], Wen-Ching Lin [aut], Hemant Ishwaran [aut], Udaya B. Kogalur [aut], Rajarshi Guha [aut], Software AG [cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package nanonext updated to version 1.10.1 with previous version 1.10.0 dated 2026-07-01

Title: Lightweight Toolkit for Messaging, Concurrency and the Web
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. A toolkit for messaging, concurrency and the web. High-performance socket messaging over in-process, IPC, TCP, WebSocket and secure TLS transports implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and survey. A threaded concurrency framework with intuitive 'aio' objects that resolve automatically upon completion of asynchronous operations, and synchronisation primitives that allow R to wait on events signalled by concurrent threads. A unified HTTP server hosting REST endpoints, WebSocket connections and streaming on a single port, with a built-in HTTP client.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], Staysail Systems, Inc. [cph] , Capitar IT Group BV [cph] , The Mbed TLS Contributors [cph] , Pierre L'Ecuyer [cph] , sakura authors [cph] , R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package condformat updated to version 0.11.0 with previous version 0.10.1 dated 2023-10-08

Title: Conditional Formatting in Data Frames
Description: Apply and visualize conditional formatting to data frames in R. It renders a data frame with cells formatted according to criteria defined by rules, using a tidy evaluation syntax. The table is printed either opening a web browser or within the 'RStudio' viewer if available. The conditional formatting rules allow to highlight cells matching a condition or add a gradient background to a given column. This package supports both 'HTML' and 'LaTeX' outputs in 'knitr' reports, and exporting to an 'xlsx' file.
Author: Sergio Oller Moreno [aut, cph, cre]
Maintainer: Sergio Oller Moreno <sergioller@gmail.com>

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Package sshist updated to version 0.2.2 with previous version 0.1.3 dated 2026-03-04

Title: Optimal Density Estimation via Shimazaki-Shinomoto Method
Description: Implements the Shimazaki-Shinomoto method for optimizing the bin width of histograms and the bandwidth of kernel density estimators. The framework minimizes the expected Mean Integrated Squared Error (MISE) and supports both 1D and 2D distributions, fixed and locally adaptive estimators, bootstrap confidence intervals, and 'OpenMP'-accelerated 'C++' 'backends'. Ideally suited for time-dependent rate estimation and identifying intrinsic data structures. For more details see Shimazaki and Shinomoto (2007) <doi:10.1162/neco.2007.19.6.1503> and Shimazaki and Shinomoto (2010) <doi:10.1007/s10827-009-0180-4>.
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>

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Package MAIHDA updated to version 0.2.1 with previous version 0.2.0 dated 2026-07-02

Title: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy
Description: Tools for Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) for intersectional inequality research. Methods are described in Merlo (2018) <doi:10.1016/j.socscimed.2017.12.026> and Evans et al. (2018) <doi:10.1016/j.socscimed.2017.11.011>. The package creates intersectional strata, fits multilevel MAIHDA models, estimates variance partition coefficients, proportional change in variance, stratum effects, and discriminatory-accuracy summaries, and provides diagnostic and presentation plots.
Author: Hamid Bulut [aut, cre]
Maintainer: Hamid Bulut <me@hamidbulut.com>

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Package lt updated to version 0.2 with previous version 0.1 dated 2026-06-30

Title: Lightweight Tables via JSON Specs and JavaScript
Description: A lightweight grammar of tables. Build a table by declaring a JSON spec (titles, spanners, row groups, footnotes, formatting functions, etc.); a tiny vanilla JavaScript runtime builds the HTML table from the spec on page load. No 'sass', no 'V8', no 'htmlwidgets' — just base R and 'xfun' ('htmltools' is used only for the optional Shiny binding).
Author: Yihui Xie [aut, cre, cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package cohorts updated to version 1.3.0 with previous version 1.0.1 dated 2022-05-15

Title: Cohort Analysis Made Easy
Description: Functions to simplify the process of preparing event and transaction for cohort analysis.
Author: Peer Christensen [aut, cre]
Maintainer: Peer Christensen <hr.pchristensen@gmail.com>

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Package rPublic updated to version 1.2.0 with previous version 1.0.0 dated 2025-08-22

Title: 'Public Trading API'
Description: The 'Public Trading API' <https://public.com/api/docs> allows clients to access their brokerage accounts, request market data, and place stock/etf/option orders.
Author: Jason Guevara [aut, cre]
Maintainer: Jason Guevara <Jason.guevara.yt@gmail.com>

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Package pecanr updated to version 0.3.1 with previous version 0.3.0 dated 2026-06-23

Title: Partial Eta-Squared for Crossed, Nested, and Mixed Linear Mixed Models
Description: Computes partial eta-squared effect sizes for fixed effects in linear mixed models fitted with the 'lme4' package. Supports crossed, nested, and mixed (crossed-and-nested) random effects structures with any number of grouping factors. Mixed designs handle cases where grouping factors are simultaneously crossed with some variables and nested within others (e.g., photos nested within models, but both crossed with participants). Factor predictors are supported directly, and a single factor-level (omnibus) effect size can be obtained for a multi-level factor or multi-df interaction. Random slope variances are translated to the outcome scale using a variance decomposition approach, correctly accounting for predictor scaling and interaction terms. Both general and operative effect sizes are provided, with optional parametric bootstrap confidence intervals. For correlated predictors, per-predictor effect sizes use unique (semipartial) variance by default. Methods are based on Correll, Melling [...truncated...]
Author: Brandon Cohen [aut, cre] , Joshua Correll [aut, ths]
Maintainer: Brandon Cohen <brandon.cohen-1@colorado.edu>

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Package istacr updated to version 0.3.1 with previous version 0.3.0 dated 2025-09-04

Title: Obtaining Open Data from Instituto Canario De Estadistica (ISTAC) API
Description: You can access to open data published in Instituto Canario De Estadistica (ISTAC) APIs at <https://datos.canarias.es/api/estadisticas/>.
Author: Alberto Gonzalez [cph], Elisa Jorge [aut, cre]
Maintainer: Elisa Jorge <ejorgon@gobiernodecanarias.org>

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Package FoRecoML updated to version 1.1.1 with previous version 1.1.0 dated 2026-06-23

Title: Forecast Reconciliation with Machine Learning
Description: Nonlinear forecast reconciliation with machine learning in cross-sectional (Spiliotis et al. 2021 <doi:10.1016/j.asoc.2021.107756>), temporal, and cross-temporal (Rombouts et al. 2024 <doi:10.1016/j.ijforecast.2024.05.008>) frameworks.
Author: Daniele Girolimetto [aut, cre] , Yangzhuoran Fin Yang [aut] , Jeroen Rombouts [aut] , Ines Wilms [aut]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>

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Package daltoolbox updated to version 1.3.767 with previous version 1.3.747 dated 2026-05-14

Title: Leveraging Experiment Lines to Data Analytics
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_2 [...truncated...]
Author: Eduardo Ogasawara [aut, ths, cre] , Ana Carolina Sa [aut], Antonio Castro [aut], Caio Santos [aut], Diego Carvalho [ctb], Diego Salles [aut], Eduardo Bezerra [ctb], Esther Pacitti [ctb], Fabio Porto [ctb], Janio Lima [aut], Lucas Tavares [aut], Rafae [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package ccaPP updated to version 0.3.6 with previous version 0.3.5 dated 2025-10-02

Title: (Robust) Canonical Correlation Analysis via Projection Pursuit
Description: Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and nonparametric methods.
Author: Andreas Alfons [aut, cre] , David Simcha [ctb] ) implementation of Kendall correlation)
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

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Package bibliorefer updated to version 0.1.4 with previous version 0.1.3 dated 2026-02-07

Title: Generator of Main Scientific References
Description: Generates a list, with a size defined by the user, containing the main scientific references and the frequency distribution of authors and journals in the list obtained. The database is a dataframe with academic production metadata made available by bibliographic collections such as Scopus, Web of Science, etc. The temporal evolution of scientific production on a given topic is presented and ordered lists of articles are constructed by number of citations and of authors and journals by level of productivity. Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>. Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>.
Author: Marcio Eustaquio [aut, cre]
Maintainer: Marcio Eustaquio <marcioeustaquio@id.uff.br>

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Package Rparadox updated to version 0.3.0 with previous version 0.2.2 dated 2026-02-16

Title: Read Paradox Database Files
Description: Provides a simple and efficient way to read data from Paradox database files (.db) directly into R as modern 'tibble' data frames. It uses the underlying 'pxlib' C library to handle the low-level file format details and provides a clean, user-friendly R interface.
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>

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Package mvnma updated to version 0.2-0 with previous version 0.1-0 dated 2026-05-19

Title: Multivariate Network Meta-Analysis using Bayesian Methods
Description: Tools to conduct Bayesian multivariate network meta-analysis providing - the single correlation coefficient model by Efthimiou et al. (2015) <doi:10.1093/biostatistics/kxu030>; - per-outcome treatment hierarchies using the surface under the cumulative ranking curve (SUCRA), the probability of best value, or median (or mean) ranks (Salanti et al., 2011) <doi:10.1016/j.jclinepi.2010.03.016>; - across-outcomes benefit-risk assessment using the VišeKriterijumska Optimizacija I Kompromisno Rešenje (VIKOR) method (Opricovic & Tzeng, 2004) <doi:10.1016/S0377-2217(03)00020-1>; - convergence checks using trace plots, density plots, or the R-hat statistic; - forest plots of treatment estimates, scatter plots of per-outcome rankings, Hasse diagrams (Carlsen & Bruggemann, 2014) <doi:10.1002/cem.2569> to visualize the partial order of the treatments across all outcomes.
Author: Theodoros Evrenoglou [aut, cre] , Guido Schwarzer [aut]
Maintainer: Theodoros Evrenoglou <theodoros.evrenoglou@uniklinik-freiburg.de>

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Package micromodal updated to version 1.0.1 with previous version 1.0.0 dated 2023-08-17

Title: Create Simple and Elegant Modal Dialogs in 'shiny'
Description: Enables you to create accessible modal dialogs, with confidence and with minimal configuration.
Author: Kennedy Mwavu [aut, cre, cph]
Maintainer: Kennedy Mwavu <mwavukennedy@gmail.com>

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Package isocat updated to version 1.0.0 with previous version 0.3.0 dated 2024-02-15

Title: Isotope Origin Clustering and Assignment Tools
Description: This resource provides tools to create, compare, and post-process spatial isotope assignment models of animal origin. It generates probability-of-origin maps for individuals based on user-provided tissue and environment isotope values (e.g., as generated by IsoMAP, Bowen et al. [2013] <doi:10.1111/2041-210X.12147>) using the framework established in Bowen et al. (2010) <doi:10.1146/annurev-earth-040809-152429>). The package 'isocat' can then quantitatively compare and cluster these maps to group individuals by similar origin. It also includes techniques for applying four approaches (cumulative sum, odds ratio, quantile only, and quantile simulation) with which users can summarize geographic origins and probable distance traveled by individuals. Campbell et al. [2020] establishes several of the functions included in this package <doi:10.1515/ami-2020-0004>.
Author: Caitlin Campbell [aut, cre]
Maintainer: Caitlin Campbell <caitjcampbell@gmail.com>

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Package editbl updated to version 1.3.2 with previous version 1.3.0 dated 2025-04-24

Title: 'DT' Extension for CRUD (Create, Read, Update, Delete) Applications in 'shiny'
Description: The core of this package is a function eDT() which enhances DT::datatable() such that it can be used to interactively modify data in 'shiny'. By the use of generic 'dplyr' methods it supports many types of data storage, with relational databases ('dbplyr') being the main use case.
Author: Jasper Schelfhout [aut, cre], Maxim Nazarov [rev], Daan Seynaeve [rev], Lennart Tuijnder [rev], Saar Junius [aut]
Maintainer: Jasper Schelfhout <jasper.schelfhout@openanalytics.eu>

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Package DSAIRM updated to version 1.0.0 with previous version 0.9.6 dated 2023-08-23

Title: Dynamical Systems Approach to Immune Response Modeling
Description: Simulation models (apps) of various within-host immune response scenarios. The purpose of the package is to help individuals learn about within-host infection and immune response modeling from a dynamical systems perspective. All apps include explanations of the underlying models and instructions on what to do with the models.
Author: Andreas Handel [aut, cre] , Cody Dailey [ctb], Yang Ge [ctb], Spencer Hall [ctb], Brian McKay [ctb], Sina Solaimanpour [ctb], Alexis Vittengl [ctb], Henok Woldu [ctb]
Maintainer: Andreas Handel <andreas.handel@gmail.com>

Diff between DSAIRM versions 0.9.6 dated 2023-08-23 and 1.0.0 dated 2026-07-09

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Package DatastreamDSWS2R updated to version 1.11.0 with previous version 1.9.12 dated 2025-03-30

Title: Provides a Link Between the 'LSEG Datastream' System and R
Description: Provides a set of functions and a class to connect, extract and upload information from the 'LSEG Datastream' database. This package uses the 'DSWS' API. Details of this API are available at <https://www.lseg.com/en/data-analytics>. Please report issues at <https://github.com/CharlesCara/DatastreamDSWS2R/issues>.
Author: Charles Cara [aut, cre, cph]
Maintainer: Charles Cara <charles.cara@absolute-strategy.com>

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Package dae updated to version 3.2.35 with previous version 3.2.32 dated 2025-08-20

Title: Functions Useful in the Design and ANOVA of Experiments
Description: The content falls into the following groupings: (i) Data, (ii) Factor manipulation functions, (iii) Design functions, (iv) ANOVA functions, (v) Matrix functions, (vi) Projector and canonical efficiency functions, and (vii) Miscellaneous functions. There is a vignette describing how to use the design functions for randomizing and assessing designs available as a vignette called 'DesignNotes'. The ANOVA functions facilitate the extraction of information when the 'Error' function has been used in the call to 'aov'. The package 'dae' can also be installed from <http://chris.brien.name/rpackages/>.
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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Package airGRteaching updated to version 0.3.7 with previous version 0.3.5 dated 2025-03-27

Title: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Description: Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Author: Olivier Delaigue [aut, cre] , Laurent Coron [aut] , Pierre Brigode [aut] , Guillaume Thirel [aut]
Maintainer: Olivier Delaigue <airGR@inrae.fr>

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Package rice updated to version 2.2.1 with previous version 2.2.0 dated 2026-06-15

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon-related timescales (cal BP, cal BC/AD, C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). Supporting publication: Blaauw, M., Reimer, P.J., 2026. An open-source toolkit for radiocarbon dating and calibration. Radiocarbon <doi:10.1017/RDC.2026.10221>. The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package uses the calibration curves from the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre] , Paula Reimer [ctb] , Vegard Martinsen [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package uteals updated to version 0.0.5 with previous version 0.0.3 dated 2026-04-13

Title: Shared Utilities to Extend the 'teal' Modules
Description: Provides decorators, transformators, and utility functions to extend the 'teal' framework for interactive data analysis applications. Implements methods for data visualization enhancement, statistical data transformations, and workflow integration tools. Designed to support clinical and pharmaceutical research workflows within the 'teal' ecosystem through modular and reusable components.
Author: Nadia Abraham [aut], Chanchal Bhalla [aut], Peyman Eshghi [aut, cre], Pranith Gourisetty [aut], Sohan Lal [aut], Przemyslaw Posiadala [aut], Alina Tselinina [aut], Konrad Pagacz [aut], PHUSE [cph]
Maintainer: Peyman Eshghi <peymaan.es@gmail.com>

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Package ipeaplot updated to version 0.5.4 with previous version 0.5.3 dated 2026-07-06

Title: Add Ipea Editorial Standards to 'ggplot2' Graphics
Description: Convenient functions to create 'ggplot2' graphics following the editorial guidelines of the Institute for Applied Economic Research (Ipea).
Author: Pedro Ferreira [aut, cre], Pedro Jorge [aut], Daniel Lima [aut], Gustavo Coelho [aut], Rafael H. M. Pereira [aut], Lucas Mation [aut], Fabio Vaz [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Pedro Ferreira <pedro.ferreira2@ipea.gov.br>

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Package FoReco updated to version 1.3.1 with previous version 1.3.0 dated 2026-06-22

Title: Forecast Reconciliation
Description: Classical (bottom-up and top-down), optimal combination and heuristic point (Di Fonzo and Girolimetto, 2023 <doi:10.1016/j.ijforecast.2021.08.004>) and probabilistic (Girolimetto et al. 2024 <doi:10.1016/j.ijforecast.2023.10.003>) forecast reconciliation procedures for linearly constrained time series (e.g., hierarchical or grouped time series) in cross-sectional, temporal, or cross-temporal frameworks.
Author: Daniele Girolimetto [aut, cre] , Tommaso Di Fonzo [aut] , Yangzhuoran Fin Yang [ctb]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>

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Package finna readmission to version 0.1.3 with previous version 0.1.2 dated 2026-06-18

Title: Access the 'Finna' API
Description: Provides functions to access and retrieve metadata from the 'Finna' API <https://api.finna.fi/>, which aggregates content from Finnish archives, libraries, and museums.
Author: Akewak Jeba [aut, cre] , Leo Lahti [aut]
Maintainer: Akewak Jeba <akewak84@gmail.com>

This is a re-admission after prior archival of version 0.1.2 dated 2026-06-18

Diff between finna versions 0.1.2 dated 2026-06-18 and 0.1.3 dated 2026-07-09

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Package AeRobiology updated to version 2.0.3 with previous version 2.0.2 dated 2026-02-24

Title: A Computational Tool for Aerobiological Data
Description: Different tools for managing databases of airborne particles, elaborating the main calculations and visualization of results. In a first step, data are checked using tools for quality control and all missing gaps are completed. Then, the main parameters of the pollen season are calculated and represented graphically. Multiple graphical tools are available: pollen calendars, phenological plots, time series, tendencies, interactive plots, abundance plots...
Author: Jesus Rojo [aut], Antonio Picornell [aut], Jose Oteros [aut, cre]
Maintainer: Jose Oteros <OterosJose@gmail.com>

Diff between AeRobiology versions 2.0.2 dated 2026-02-24 and 2.0.3 dated 2026-07-09

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Package MetaHD updated to version 0.1.6 with previous version 0.1.5 dated 2026-07-08

Title: A Multivariate Meta-Analysis Model for High-Dimensional Data
Description: Performs multivariate meta-analysis for high-dimensional data to integrate and collectively analyse individual-level data from multiple studies, as well as to combine summary estimates. This approach accounts for correlation between outcomes, incorporates within- and between-study variability, handles missing values, and uses shrinkage estimation to accommodate high dimensionality. The 'MetaHD' R package provides access to our multivariate meta-analysis approach, along with a comprehensive suite of existing meta-analysis methods, including fixed-effects and random-effects models, Fisher's method, Stouffer's method, the weighted Z method, Lancaster's method, the weighted Fisher's method, and vote-counting approach. Visualisation tools are provided for interpreting and comparing results across methods, including Venn diagrams, UpSet plots, and ROC curves, heatmaps of pooled effect sizes and correlations among outcomes. A detailed vignette with example datasets and code for data preparati [...truncated...]
Author: Jayamini Liyanage [aut, cre], Alysha De Livera [aut], Luke Prendergast [aut]
Maintainer: Jayamini Liyanage <j.liyanage@latrobe.edu.au>

Diff between MetaHD versions 0.1.5 dated 2026-07-08 and 0.1.6 dated 2026-07-09

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Package xfun updated to version 0.60 with previous version 0.59 dated 2026-06-19

Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] , Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brueggemann [ctb] , Christophe Dervieux [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between xfun versions 0.59 dated 2026-06-19 and 0.60 dated 2026-07-09

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Package sommer updated to version 4.4.6 with previous version 4.4.5 dated 2026-03-25

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between sommer versions 4.4.5 dated 2026-03-25 and 4.4.6 dated 2026-07-09

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Package plotthis updated to version 0.13.1 with previous version 0.12.1 dated 2026-06-10

Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

Diff between plotthis versions 0.12.1 dated 2026-06-10 and 0.13.1 dated 2026-07-09

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Package mongolstats updated to version 0.2.0 with previous version 0.1.1 dated 2026-01-26

Title: Mongolian 'NSO' 'PXWeb' Data and Boundaries (Tidy Client)
Description: A 'tidyverse'-friendly client for the National Statistics Office of Mongolia 'PXWeb' API <https://data.1212.mn/> with helpers to discover tables, variables, and fetch statistical data. Also includes utilities to retrieve Mongolia administrative boundaries (ADM0-ADM2) as 'sf' objects from open sources for mapping and spatial analysis.
Author: Temuulen Enebish [aut, cre, cph]
Maintainer: Temuulen Enebish <temuulen@gmail.com>

Diff between mongolstats versions 0.1.1 dated 2026-01-26 and 0.2.0 dated 2026-07-09

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Package KMD updated to version 0.1.1 with previous version 0.1.0 dated 2022-10-06

Title: Kernel Measure of Multi-Sample Dissimilarity
Description: Implementations of the kernel measure of multi-sample dissimilarity (KMD) between several samples using K-nearest neighbor graphs and minimum spanning trees. The KMD measures the dissimilarity between multiple samples, based on the observations from them. It converges to the population quantity (depending on the kernel) which is between 0 and 1. A small value indicates the multiple samples are from the same distribution, and a large value indicates the corresponding distributions are different. The population quantity is 0 if and only if all distributions are the same, and 1 if and only if all distributions are mutually singular. The package also implements the tests based on KMD for H0: the M distributions are equal against H1: not all the distributions are equal. Both permutation test and asymptotic test are available. These tests are consistent against all alternatives where at least two samples have different distributions. For more details on KMD and the associated tests, see Huan [...truncated...]
Author: Zhen Huang [aut, cre]
Maintainer: Zhen Huang <zh2395@columbia.edu>

Diff between KMD versions 0.1.0 dated 2022-10-06 and 0.1.1 dated 2026-07-09

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Package icarm updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-30

Title: Interpretable Contextual-Accountable and Responsible Machine Learning
Description: A general-purpose framework for Interpretable Contextual-Accountable and Responsible Machine Learning (ICARM) that works with any clean tabular data across any application domain including healthcare, finance, social science, business, and education. Automatically detects whether a prediction task is binary classification, multi-class classification, or regression from the target variable type. Provides a unified entry point icarm_fit() supporting both interpretable learners (Classification and Regression Trees (CART), logistic regression, linear regression, Generalized Additive Models (GAM)) and extended learners (random forest, 'XGBoost', Support Vector Machines (SVM)) with consistent interfaces for global and local model explanation including approximate SHapley Additive exPlanations (SHAP) values and Partial Dependence Profiles (PDPs), learning curve diagnostics, group-level fairness auditing across protected attributes, probability calibration, threshold analysis, multi-model comp [...truncated...]
Author: Olushina Olawale Awe [aut, cre], Ludwigsburg University of Education [fnd]
Maintainer: Olushina Olawale Awe <olawaleawe@gmail.com>

Diff between icarm versions 0.1.0 dated 2026-06-30 and 0.2.0 dated 2026-07-09

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 24 files changed, 523 insertions(+), 233 deletions(-)

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Package condor updated to version 3.0.3 with previous version 3.0.2 dated 2026-03-22

Title: Interact with 'Condor' from R via SSH
Description: Interact with 'Condor' from R via SSH connection. Files are first uploaded from user machine to submitter machine, and the job is then submitted from the submitter machine to 'Condor'. Functions are provided to submit, list, and download 'Condor' jobs from R. 'Condor' is an open source high-throughput computing software framework for distributed parallelization of computationally intensive tasks.
Author: Arni Magnusson [aut, cre], Nan Yao [aut], Jemery Day [ctb], Thomas Teears [ctb]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

Diff between condor versions 3.0.2 dated 2026-03-22 and 3.0.3 dated 2026-07-09

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Package BMIselect updated to version 1.0.4 with previous version 1.0.3 dated 2025-08-25

Title: Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Datasets
Description: Provides a suite of Bayesian MI-LASSO for variable selection methods for multiply-imputed datasets. The package includes four Bayesian MI-LASSO models using shrinkage (Multi-Laplace, Horseshoe, ARD) and Spike-and-Slab (Spike-and-Laplace) priors, along with tools for model fitting via MCMC, four-step projection predictive variable selection, and hyperparameter calibration. Methods are suitable for both continuous and binary covariates under missing-at-random or missing-completely-at-random assumptions. See Zou, J., Wang, S. and Chen, Q. (2025), Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Data. ArXiv, 2211.00114. <doi:10.48550/arXiv.2211.00114> for more details. We also provide the frequentist MI-LASSO function.
Author: Jungang Zou [aut, cre], Sijian Wang [aut], Qixuan Chen [aut]
Maintainer: Jungang Zou <jungang.zou@gmail.com>

Diff between BMIselect versions 1.0.3 dated 2025-08-25 and 1.0.4 dated 2026-07-09

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New package uygeo with initial version 0.1.0
Package: uygeo
Title: Geospatial Data for Uruguay
Version: 0.1.0
Description: Provides geospatial data for Uruguay, including country boundaries and administrative divisions (departments). Data are provided as 'sf' objects ready for use with the 'sf' and 'ggplot2' packages.
Language: en
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Suggests: sf, ggplot2, dplyr, testthat (>= 3.0.0)
URL: https://github.com/ManuelSpinola/uygeo
BugReports: https://github.com/ManuelSpinola/uygeo/issues
NeedsCompilation: no
Packaged: 2026-07-02 11:19:21 UTC; manuel_nuevo
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 09:10:03 UTC

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Package SATS readmission to version 1.0.10 with previous version 1.0.6 dated 2025-08-18

Title: Signature Analyzer for Targeted Sequencing
Description: SATS stands for Signature Analyzer for Targeted Sequencing and performs mutational signature analysis for targeted sequenced tumors. Unlike the canonical analysis of mutational signatures, SATS factorizes the mutation counts matrix into a panel context matrix (measuring the size of the targeted sequenced genome for each tumor in the unit of million base pairs (Mb)), a signature profile matrix, and a signature activity matrix. SATS also calculates the expected number of mutations attributed by a signature, namely signature burden, for each targeted sequenced tumor. For more details see Lee et al. (2024) <doi:10.1101/2023.05.18.23290188>.
Author: DongHyuk Lee [aut], Bin Zhu [aut], Bill Wheeler [cre]
Maintainer: Bill Wheeler <wheelerb@imsweb.com>

This is a re-admission after prior archival of version 1.0.6 dated 2025-08-18

Diff between SATS versions 1.0.6 dated 2025-08-18 and 1.0.10 dated 2026-07-09

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New package probcal with initial version 0.2.0
Package: probcal
Title: Calibration of Binary and Multiclass Probabilities
Version: 0.2.0
Description: Provides S3 calibrators, metrics, and diagnostics for binary and multiclass probability calibration. Binary methods include Platt scaling, temperature scaling, beta calibration, histogram binning, and isotonic regression. Multiclass methods include temperature scaling, vector scaling, Dirichlet calibration, and a one-vs-rest wrapper for the binary calibrators. A calibration-inference layer adds debiased calibration errors, bootstrap confidence intervals, and a kernel calibration hypothesis test for binary and multiclass predictions, including the strong (canonical) multiclass case. Methods follow Platt (1999, ISBN:9780262194488), Zadrozny and Elkan (2002) <doi:10.1145/775047.775151>, Guo et al. (2017) <https://proceedings.mlr.press/v70/guo17a.html>, Kull et al. (2017) <doi:10.1214/17-EJS1338SI>, Kull et al. (2019) <doi:10.48550/arXiv.1910.12656>, Widmann et al. (2019) <doi:10.48550/arXiv.1910.11385>, and Kumar et al. (2019) <doi:10.48550/arXiv.1909.1015 [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-US
Imports: cli, ggplot2, stats, withr
Suggests: betacal, dplyr, knitr, pkgdown, reticulate, rmarkdown, roxygen2, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://prdm0.github.io/probcal/, https://github.com/prdm0/probcal/
BugReports: https://github.com/prdm0/probcal/issues/
NeedsCompilation: no
Packaged: 2026-07-02 14:42:21 UTC; prdm0
Author: Pedro Rafael Diniz Marinho [aut, cre, cph]
Maintainer: Pedro Rafael Diniz Marinho <pedro.rafael.marinho@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 09:20:02 UTC

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Package landscapetools readmission to version 0.6.3 with previous version 0.5.0 dated 2019-02-25

Title: Landscape Utility Toolbox
Description: Provides utility functions for some of the less-glamorous tasks involved in landscape analysis. It includes functions to coerce raster data to the common 'tibble' format and vice versa, it helps with flexible reclassification tasks of raster data and it provides a function to merge multiple raster. Furthermore, 'landscapetools' helps landscape scientists to visualize their data by providing optional themes and utility functions to plot single landscapes, 'rasterstacks', '-bricks' and lists of raster.
Author: Marco Sciaini [aut] , Matthias Fritsch [aut], Maximilian H.K. Hesselbarth [aut] , Jakub Nowosad [aut] , Anatoly Tsyplenkov [aut, cre] , Laura Graham [rev] , Jeffrey Hollister [rev]
Maintainer: Anatoly Tsyplenkov <s2@sent.com>

This is a re-admission after prior archival of version 0.5.0 dated 2019-02-25

Diff between landscapetools versions 0.5.0 dated 2019-02-25 and 0.6.3 dated 2026-07-09

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New package ipf with initial version 0.0.1
Package: ipf
Title: Iterative Proportional Fitting
Version: 0.0.1
Description: Fast raking for survey weighting. The computational core is written in Rust for speed. Supports multiple raking variables, automatic variable selection, weight bounding, and comprehensive diagnostics.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65
Depends: R (>= 4.2)
Imports: cli, generics, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
URL: https://christophertkenny.com/ipf/
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-06-30 19:27:11 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>
Repository: CRAN
Date/Publication: 2026-07-09 09:40:02 UTC

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New package datasetviewer with initial version 0.1.1
Package: datasetviewer
Title: 'SAS Studio'-Style Interactive Dataset Viewer
Version: 0.1.1
Description: An interactive dataset viewer that renders a fast, scrollable grid with a column-selection panel, per-column property metadata, and a names-versus-labels header toggle, modelled on the 'SAS Studio' table viewer. Runs from one codebase in interactive 'Shiny' apps and in static HTML documents, with a free-text row filter, header sort, and CSV export, and handles large datasets without row sampling by querying them in the browser with 'DuckDB-WASM'.
License: MIT + file LICENSE
URL: https://github.com/vthanik/datasetviewer, https://vthanik.github.io/datasetviewer/
BugReports: https://github.com/vthanik/datasetviewer/issues
Encoding: UTF-8
Imports: cli, htmltools, htmlwidgets, jsonlite, nanoparquet, rlang
Suggests: artoo, dplyr, hms, knitr, quarto, shiny, testthat (>= 3.0.0), tibble, withr
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-06-30 16:40:51 UTC; vignesh
Author: Vignesh Thanikachalam [aut, cre, cph]
Maintainer: Vignesh Thanikachalam <about.vignesh@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 09:50:02 UTC

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New package cdmetapopR with initial version 1.0.0
Package: cdmetapopR
Title: Utility Functions for 'CDMetaPOP'
Version: 1.0.0
Description: Provides a set of helper functions to launch, analyze, and visualize the output files of 'CDMetaPOP' <https://computationalecologylab.github.io/cdmetapop_web/>.
Imports: ggplot2, tidyr, tidyselect, dplyr, adegenet, gdistance, graph4lg, poppr, shiny, shinyBS, terra
License: GPL (>= 2)
Encoding: UTF-8
Suggests: knitr, pkgload, rmarkdown, tidyverse, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-02 08:54:19 UTC; domi
Author: Dominique Alo [aut, cre] , Casey Day [aut], Allison Williams [aut]
Maintainer: Dominique Alo <dominiquealo@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 09:10:14 UTC

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Package zmctp updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-03

Title: Zero-Modified Complex 'Tri-Parametric' Pearson Distribution for Overdispersed Count Data
Description: Implements zero-modified versions of the Complex 'Tri-Parametric' Pearson distribution for overdispersed count data. The package addresses limitations of existing implementations when the parameter b approaches zero. It provides distribution functions, maximum likelihood estimation, and diagnostic tools for modeling count data with excess zeros. The methodology is based on 'Rodriguez-Avi' and coauthors (2003) <doi:10.1007/s00362-002-0134-7>.
Author: Rasheedat Oladoja [aut, cre]
Maintainer: Rasheedat Oladoja <roladoja@ttu.edu>

Diff between zmctp versions 0.1.0 dated 2026-04-03 and 0.1.1 dated 2026-07-09

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Package valr updated to version 0.10.0 with previous version 0.9.1 dated 2026-01-11

Title: Genome Interval Arithmetic
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data. Riemondy et al. (2017) <doi:10.12688/f1000research.11997.1>.
Author: Jay Hesselberth [aut, cre] , Kent Riemondy [aut] , RNA Bioscience Initiative [fnd, cph]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

Diff between valr versions 0.9.1 dated 2026-01-11 and 0.10.0 dated 2026-07-09

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More information about valr at CRAN
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Package taxify updated to version 0.3.4 with previous version 0.2.12 dated 2026-06-30

Title: Offline Taxonomic Name Matching Against Local Darwin Core Snapshots
Description: Match taxonomic names against locally stored Darwin Core backbone databases ('WFO', 'COL', 'GBIF', 'ITIS', 'NCBI Taxonomy', 'Open Tree of Life', 'WoRMS', 'Euro+Med', 'Species Fungorum', 'AlgaeBase', 'FishBase', 'SeaLifeBase', 'Reptile Database'). Provides offline fuzzy and exact matching with synonym resolution, hybrid name detection, and a unified output schema across all sources. All heavy computation runs in the 'vectra' C11 columnar engine.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between taxify versions 0.2.12 dated 2026-06-30 and 0.3.4 dated 2026-07-09

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Package PSsurvival updated to version 0.2.1 with previous version 0.2.0 dated 2026-01-10

Title: Propensity Score Methods for Survival Analysis
Description: Implements propensity score weighting methods for estimating counterfactual survival functions, marginal hazard ratios, and weighted Kaplan-Meier and cumulative risk curves in observational studies with time-to-event outcomes. Supports binary and multiple treatment groups with inverse probability of treatment weighting (IPW), overlap weighting (OW), and average treatment effect on the treated (ATT). Includes symmetric trimming (Crump extension) for extreme propensity scores. Variance estimation via analytical M-estimation or bootstrap. Methods based on Li et al. (2018) <doi:10.1080/01621459.2016.1260466>, Li & Li (2019) <doi:10.1214/19-AOAS1282>, and Cheng et al. (2022) <doi:10.1093/aje/kwac043>.
Author: Chengxin Yang [aut, cre], Chao Cheng [aut], Fan Li [aut], Fan Li [aut]
Maintainer: Chengxin Yang <chengxin.yang@duke.edu>

Diff between PSsurvival versions 0.2.0 dated 2026-01-10 and 0.2.1 dated 2026-07-09

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Package einsum updated to version 0.2.0 with previous version 0.1.2 dated 2023-08-28

Title: Einstein Summation
Description: The summation notation suggested by Einstein (1916) <doi:10.1002/andp.19163540702> is a concise mathematical notation that implicitly sums over repeated indices of n-dimensional arrays. Many ordinary matrix operations (e.g. transpose, matrix multiplication, scalar product, 'diag()', trace etc.) can be written using Einstein notation. The notation is particularly convenient for expressing operations on arrays with more than two dimensions because the respective operators ('tensor products') might not have a standardized name.
Author: Constantin Ahlmann-Eltze [aut, cre] , Koki Tsuyuzaki [aut]
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>

Diff between einsum versions 0.1.2 dated 2023-08-28 and 0.2.0 dated 2026-07-09

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New package data.sketches with initial version 0.1.0
Package: data.sketches
Title: Probabilistic Streaming Data Sketches
Version: 0.1.0
Description: Provides an interface to the 'Apache DataSketches' (<https://datasketches.apache.org/>) library of streaming algorithms for approximate analytics on data too large to hold or process exactly. Sketches are compact, mergeable summaries built in a single pass over a stream that answer queries such as approximate distinct counts, quantiles and ranks, frequent items and point-frequency estimates, weighted sampling, and set membership with mathematically proven error bounds. Implements Karnin-Lang-Liberty (KLL), Relative Error Quantiles (REQ), t-Digest, HyperLogLog (HLL), Compressed Probabilistic Counting (CPC), Theta, Frequent Items, Count-Min, Array of Doubles, Variance Optimal (VarOpt), Exact and Bounded Probabilistic Proportional-to-Size (EBPPS), and Bloom filter sketches, with native serialization for interoperability with other 'Apache DataSketches' implementations.
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
URL: https://github.com/pedrobtz/data.sketches, https://pedrobtz.github.io/data.sketches/
BugReports: https://github.com/pedrobtz/data.sketches/issues
Depends: R (>= 4.1.0)
Imports: R6, rlang
Suggests: testthat (>= 3.0.0)
LinkingTo: cpp11
Encoding: UTF-8
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-06-23 11:07:34 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], The Apache Software Foundation [ctb] , Stephan Brumme [ctb] , Austin Appleby [ctb] , Sean Eron Anderson [ctb]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 09:00:02 UTC

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Package bcdata updated to version 0.5.3 with previous version 0.5.2 dated 2026-02-07

Title: Search and Retrieve Data from the BC Data Catalogue
Description: Search, query, and download tabular and 'geospatial' data from the British Columbia Data Catalogue (<https://catalogue.data.gov.bc.ca/>). Search catalogue data records based on keywords, data licence, sector, data format, and B.C. government organization. View metadata directly in R, download many data formats, and query 'geospatial' data available via the B.C. government Web Feature Service ('WFS') using 'dplyr' syntax.
Author: Andy Teucher [aut, cre] , Sam Albers [aut, ctb] , Stephanie Hazlitt [aut, ctb] , Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gmail.com>

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New package WSPsignal with initial version 1.0.0
Package: WSPsignal
Title: Weibull Shape Parameter Tests for Signal Detection
Version: 1.0.0
Description: Implementation of Bayesian and frequentist Weibull Shape Parameter (WSP) tests for signal detection in pharmacovigilance based on right-censored time-to-event data to flag associations between drugs and adverse events. The WSP test is based on the assumption of constant hazard reflected by a Weibull type distribution with shape parameters equal to one. Based on the shape parameter estimates (posterior distribution or point estimate), the WSP test method performs a hypothesis test on each shape parameter and combines them to a decision on the presence of a signal. Methods described in Sauzet and Cornelius (2022) <doi:10.3389/fphar.2022.889088>, Sauzet et al. (2024) <doi:10.1007/s40264-024-01460-2>, and Dyck and Sauzet (2025) <doi:10.48550/arXiv.2412.05463>.
License: MIT + file LICENSE
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0), Rdpack, HDInterval, ROCR, stats, graphics, magrittr, dplyr, tidyr, ggplot2, survival, furrr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
LazyData: true
NeedsCompilation: yes
Packaged: 2026-07-02 08:17:21 UTC; jdyck
Author: Julia Dyck [cre], Julia Dyck [aut], Odile Sauzet [aut]
Maintainer: Julia Dyck <j.dyck@uni-bielefeld.de>
Repository: CRAN
Date/Publication: 2026-07-09 07:30:08 UTC

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New package varequal with initial version 0.0.1
Package: varequal
Title: Tests and Measures for Homoscedasticity
Version: 0.0.1
Description: Provides statistical methods for assessing homoscedasticity (equality of variances) across groups. The package implements classical and robust tests for variance homogeneity, together with supporting measures and utilities for exploratory analysis and hypothesis testing. These tools can be used as diagnostic procedures prior to analyses that assume equal variances.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-02 08:59:48 UTC; ABRC
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 07:40:02 UTC

More information about varequal at CRAN
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Package lctools readmission to version 0.3 with previous version 0.2-10 dated 2024-04-01

Title: Local and Geographically Weighted Spatial Statistics Tools
Description: Provides researchers and educators with easy-to-learn, user friendly tools for calculating key spatial statistics and for applying simple as well as advanced methods of spatial analysis on real data. These include: Local Pearson and Geographically Weighted Pearson Correlation Coefficients; Spatial Inequality Measures (Gini coefficient, Spatial Gini, Location Quotient (LQ) and Focal Location Quotient); Spatial Autocorrelation indices (Global and Local Moran's I); several Geographically Weighted Regression techniques, including the Geographically Weighted Zero-Inflated Poisson Regression; tools for computing variables used in Spatial Interaction Models; and other spatial analysis tools (other geographically weighted statistics). The local correlation tools were originally developed to test for local multicollinearity among the explanatory variables of local regression models and can also be used to examine the local association between pairs of variables. The package also contains functi [...truncated...]
Author: Stamatis Kalogirou [aut, cre]
Maintainer: Stamatis Kalogirou <stamatis.science@gmail.com>

This is a re-admission after prior archival of version 0.2-10 dated 2024-04-01

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New package KlerRSS with initial version 0.2.4
Package: KlerRSS
Title: Intelligent Ranked Set Sampling with 'Excel' Integration and SRS Comparison
Version: 0.2.4
Description: Provides tools for Ranked Set Sampling (RSS) analysis, data import, statistical estimation, and comparison with Simple Random Sampling (SRS). The package offers a complete workflow from 'Excel' and CSV data import and cleaning to RSS implementation, efficiency evaluation, visualization, and automated reporting. Intelligent ranking procedures based on correlation analysis, regression models, and machine learning methods are included to address imperfect ranking commonly encountered in practical RSS applications. Monte Carlo simulation tools are provided for evaluating estimator performance under different sampling scenarios. Ranked Set Sampling was originally introduced by McIntyre (1952) <doi:10.2307/3001960> as an efficient alternative to simple random sampling when ranking information is available at low cost. The package supports researchers, statisticians, and practitioners working in agricultural, environmental, biological, and other applied sciences.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: ggplot2, readxl, rlang, stats, utils
NeedsCompilation: no
Packaged: 2026-07-02 08:29:19 UTC; Dr. Imtiyaz
Author: Khalid Ul Islam Rather [aut, cre]
Maintainer: Khalid Ul Islam Rather <drkhalidulislam@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-09 07:40:07 UTC

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Package gllvm updated to version 2.0.13 with previous version 2.0.11 dated 2026-06-22

Title: Generalized Linear Latent Variable Models
Description: Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either the Laplace method, variational approximations, or extended variational approximations, implemented via TMB (Kristensen et al. (2016), <doi:10.18637/jss.v070.i05>).
Author: Jenni Niku [aut, cre], Wesley Brooks [aut], Riki Herliansyah [aut], Francis K.C. Hui [aut], Pekka Korhonen [aut], Sara Taskinen [aut], Bert van der Veen [aut], David I. Warton [aut]
Maintainer: Jenni Niku <jenni.m.e.niku@jyu.fi>

Diff between gllvm versions 2.0.11 dated 2026-06-22 and 2.0.13 dated 2026-07-09

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Package ECOTOXr updated to version 1.2.5 with previous version 1.2.4 dated 2025-09-24

Title: Download and Extract Data from US EPA's ECOTOX Database
Description: The US EPA ECOTOX database is a freely available database with a treasure of aquatic and terrestrial ecotoxicological data. As the online search interface doesn't come with an API, this package provides the means to easily access and search the database in R. To this end, all raw tables are downloaded from the EPA website and stored in a local SQLite database <doi:10.1016/j.chemosphere.2024.143078>.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between ECOTOXr versions 1.2.4 dated 2025-09-24 and 1.2.5 dated 2026-07-09

 DESCRIPTION                        |   26 +-
 MD5                                |  127 +++++++-------
 NAMESPACE                          |    1 
 NEWS.md                            |  156 +++++++++--------
 R/cas_handlers.r                   |   15 +
 R/database_access.r                |   52 +++--
 R/helpers.r                        |   62 ++++---
 R/imports.r                        |    8 
 R/init.r                           |  219 +++++++++++++++++-------
 R/online.r                         |   98 +++++++----
 R/process_date.r                   |    6 
 R/process_numeric.r                |   14 -
 R/process_unit.r                   |   14 -
 R/wrappers.r                       |    4 
 README.md                          |  242 +++++++++++++--------------
 build/partial.rdb                  |binary
 build/vignette.rds                 |binary
 inst/doc/ecotox-schema.Rmd         |    2 
 inst/doc/ecotox-schema.html        |    2 
 inst/doc/reproducibility.Rmd       |    2 
 inst/doc/reproducibility.html      |    4 
 inst/doc/sanitising-ecotox.Rmd     |    6 
 inst/doc/sanitising-ecotox.html    |   34 +--
 inst/doc/searching-ecotox.R        |    2 
 inst/doc/searching-ecotox.Rmd      |    2 
 inst/doc/searching-ecotox.html     |    2 
 inst/openssl.cnf                   |   20 +-
 man/ECOTOXr-package.Rd             |    7 
 man/as_date_ecotox.Rd              |   14 -
 man/as_numeric_ecotox.Rd           |   14 -
 man/as_unit_ecotox.Rd              |   18 +-
 man/build_ecotox_sqlite.Rd         |   10 -
 man/check_ecotox_availability.Rd   |   17 +
 man/check_ecotox_build.Rd          |   29 +--
 man/check_ecotox_version.Rd        |   27 +--
 man/cite_ecotox.Rd                 |   17 +
 man/dbConnectEcotox.Rd             |   17 +
 man/download_ecotox_data.Rd        |   20 +-
 man/figures/graphical-abstract.png |binary
 man/figures/logo.png               |binary
 man/figures/logo.svg               |  325 +++++++++++--------------------------
 man/get_ecotox_info.Rd             |   17 +
 man/get_ecotox_url.Rd              |   16 -
 man/get_path.Rd                    |   19 +-
 man/list_ecotox_fields.Rd          |   17 +
 man/migrate_ecotox_path.Rd         |only
 man/mixed_to_single_unit.Rd        |   94 +++++-----
 man/process_ecotox_dates.Rd        |   14 -
 man/process_ecotox_numerics.Rd     |   14 -
 man/process_ecotox_units.Rd        |   14 -
 man/search_ecotox.Rd               |    6 
 man/websearch.Rd                   |   12 -
 man/websearch_comptox.Rd           |   31 +--
 tests/testthat.R                   |    8 
 tests/testthat/test_build.r        |   13 +
 tests/testthat/test_cas.r          |  152 ++++++++---------
 tests/testthat/test_dev.r          |   48 ++---
 tests/testthat/test_exceptions.r   |    9 +
 tests/testthat/test_local.r        |    4 
 tests/testthat/test_online.r       |   77 ++++++--
 tests/testthat/test_sanitation.r   |  270 +++++++++++++++---------------
 vignettes/ecotox-schema.Rmd        |    2 
 vignettes/reproducibility.Rmd      |    2 
 vignettes/sanitising-ecotox.Rmd    |    6 
 vignettes/searching-ecotox.Rmd     |    2 
 65 files changed, 1291 insertions(+), 1191 deletions(-)

More information about ECOTOXr at CRAN
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