Thu, 27 Aug 2026

Package oddsapiR updated to version 1.0.1 with previous version 1.0.0 dated 2026-08-24

Title: Access Live Sports Odds from the Odds API
Description: A utility to quickly obtain clean and tidy sports odds from The Odds API <https://the-odds-api.com>. Provides wrappers for every version 4 endpoint -- featured-market and single-event odds (including player props and alternate lines), historical odds snapshots, scores, events, participants, and usage-quota reporting -- returning tidy tibbles ready for analysis.
Author: Saiem Gilani [aut, cre, cph]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>

Diff between oddsapiR versions 1.0.0 dated 2026-08-24 and 1.0.1 dated 2026-08-27

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More information about oddsapiR at CRAN
Permanent link

Package nlist updated to version 0.5.0 with previous version 0.4.0 dated 2025-05-11

Title: Lists of Numeric Atomic Objects
Description: Create and manipulate numeric list ('nlist') objects. An 'nlist' is an S3 list of uniquely named numeric objects. An numeric object is an integer or double vector, matrix or array. An 'nlists' object is a S3 class list of 'nlist' objects with the same names, dimensionalities and typeofs. Numeric list objects are of interest because they are the raw data inputs for analytic engines such as 'JAGS', 'STAN' and 'TMB'. Numeric lists objects, which are useful for storing multiple realizations of of simulated data sets, can be converted to coda::mcmc and coda::mcmc.list objects.
Author: Joe Thorley [aut, cre] , Kirill Mueller [ctb] , Nadine Hussein [ctb] , Ayla Pearson [ctb] , Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between nlist versions 0.4.0 dated 2025-05-11 and 0.5.0 dated 2026-08-27

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More information about nlist at CRAN
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Package crossfit updated to version 0.1.4 with previous version 0.1.3 dated 2026-03-04

Title: A Graph-Based Cross-Fitting Engine in R
Description: Provides a general cross-fitting engine for semiparametric estimation (e.g., double/debiased machine learning). Supports user-defined target functionals and directed acyclic graphs of nuisance learners with per-node training fold widths, target-specific evaluation windows, and fold-allocation modes ("overlap", "disjoint", "independence"). Returns either numeric estimates (mode = "estimate") or cross-fitted prediction functions (mode = "predict"), with configurable aggregation over panels and repetitions, reuse-aware caching, and failure isolation, making it well-suited for simulation studies and large benchmarks.
Author: Etienne Peyrot [aut, cre]
Maintainer: Etienne Peyrot <etienne.peyrot@inserm.fr>

Diff between crossfit versions 0.1.3 dated 2026-03-04 and 0.1.4 dated 2026-08-27

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Package boa updated to version 1.1.9 with previous version 1.1.8-2 dated 2016-06-22

Title: Bayesian Output Analysis Program (BOA) for MCMC
Description: A menu-driven program and library of functions for carrying out convergence diagnostics and statistical and graphical analysis of Markov chain Monte Carlo sampling output.
Author: Brian J. Smith [aut, cre]
Maintainer: Brian J. Smith <brian-j-smith@uiowa.edu>

Diff between boa versions 1.1.8-2 dated 2016-06-22 and 1.1.9 dated 2026-08-27

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Package typetracer updated to version 0.2.5 with previous version 0.2.4 dated 2026-07-30

Title: Trace Function Parameter Types
Description: The 'R' language includes a set of defined types, but the language itself is "absurdly dynamic" (Turcotte & Vitek (2019) <doi:10.1145/3340670.3342426>), and lacks any way to specify which types are expected by any expression. The 'typetracer' package enables code to be traced to extract detailed information on the properties of parameters passed to 'R' functions. 'typetracer' can trace individual functions or entire packages.
Author: Mark Padgham [aut, cre] , Filip Krikava [ctb] , Antoine Soetewey [ctb] , covr authors [cph]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package MR.RGM updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-22

Title: Fitting Multivariate Bidirectional Mendelian Randomization Networks Using Bayesian Directed Cyclic Graphical Models
Description: Addressing a central challenge encountered in Mendelian randomization (MR) studies, where MR primarily focuses on discerning the effects of individual exposures on specific outcomes and establishes causal links between them. Using a network-based methodology, the intricacy involving interdependent outcomes due to numerous factors has been tackled through this routine. Based on Ni et al. (2018) <doi:10.1214/17-BA1087>, 'MR.RGM' extends to a broader exploration of the causal landscape by leveraging on network structures and involves the construction of causal graphs that capture interactions between response variables and consequently between responses and instrument variables. The resulting Graph visually represents these causal connections, showing directed edges with effect sizes labeled. 'MR.RGM' facilitates the navigation of various data availability scenarios effectively by accommodating three input formats, i.e., individual-level data and two types of summary-level data. The [...truncated...]
Author: Bitan Sarkar [aut, cre], Yang Ni [aut]
Maintainer: Bitan Sarkar <bitansarkar010899@gmail.com>

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Package GMLTM updated to version 2.0.0 with previous version 0.1.0 dated 2026-06-30

Title: Generalized Multicomponent Latent Trait Model for Diagnosis
Description: Provides Bayesian estimation of Item Response Theory models that decompose item difficulty into cognitive operations or rules. Implements the Linear Logistic Test Model (LLTM; Fischer (1973) <doi:10.1016/0001-6918(73)90003-6>), the Multicomponent Latent Trait Model for Diagnosis (MLTM-D; Embretson and Yang (2013) <doi:10.1007/s11336-012-9296-y>), and the Generalized Multicomponent Latent Trait Model for Diagnosis (GMLTM-D; Ramirez et al. (2024) <doi:10.3390/jintelligence12070067>), including a variant with correlated latent components. All models are estimated via Hamiltonian Monte Carlo using 'Stan' through the 'rstan' interface. Includes tools for prior predictive checks (Gelman et al., 2020), model validation, conditional reliability estimation, examinee mastery classification following Embretson (2019) <doi:10.1007/978-3-030-05584-4_9>, and individual diagnostic reports at the rule and component level. Supports user-defined prior distributions for all model [...truncated...]
Author: Eduar Ramirez [aut, cre], Marcos Jimenez [aut], Vithor R. Franco [aut], Jesus Alvarado [aut]
Maintainer: Eduar Ramirez <edrami02@ucm.es>

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Package vrpr updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-04

Title: Vehicle Routing Problem Solver Built on 'PyVRP'
Description: A 'tidyverse'-style interface to high-performance vehicle routing problem (VRP) solving. Vendors the C++ core of the 'PyVRP' solver (<https://github.com/PyVRP/PyVRP>) and rewires it through 'cpp11', with no 'Python' runtime dependency. Supports the capacitated VRP, time windows, multiple depots, heterogeneous fleets, prize-collecting and multi-trip variants, driven by an iterated local search metaheuristic.
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorim [aut], Diogo Bezerra [aut], Niels Wouda [ctb, cph] , Thibaut Vidal [cph] , ORTEC [cph]
Maintainer: Andre Leite <leite@castlab.org>

Diff between vrpr versions 0.1.0 dated 2026-07-04 and 0.1.1 dated 2026-08-27

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Package OmopSketch updated to version 1.1.1 with previous version 1.1.0 dated 2026-06-16

Title: Characterise Tables of an OMOP Common Data Model Instance
Description: Summarises key information in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Assess suitability to perform specific epidemiological studies and explore the different domains to obtain feasibility counts and trends.
Author: Marta Alcalde-Herraiz [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut] , Cecilia Campanile [aut, cre] , Edward Burn [aut] , Marti Catala [aut]
Maintainer: Cecilia Campanile <cecilia.campanile@ndorms.ox.ac.uk>

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Package llamaR updated to version 0.2.6 with previous version 0.2.5 dated 2026-07-02

Title: Interface for Large Language Models via 'llama.cpp'
Description: Provides R bindings to 'llama.cpp' for running large language models locally, with optional GPU acceleration via 'ggmlR'. Supports text generation, embeddings, chat-based workflows, tool calling, and multimodal (vision) inference. Includes 'OpenAI'- and 'Anthropic'-compatible HTTP servers for serving local models, along with device selection and multi-GPU support.
Author: Yuri Baramykov [aut, cre] , Georgi Gerganov [cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package drogonR updated to version 0.1.9 with previous version 0.1.8 dated 2026-07-04

Title: High-Performance HTTP Server for R via 'Drogon'
Description: Provides an 'R' interface to the 'Drogon' high-performance 'C++' 'HTTP' server framework (<https://github.com/drogonframework/drogon>). Offers a 'plumber'-style application programming interface for building 'REST' services from 'R' with substantially higher throughput, including streaming responses and full-duplex 'WebSocket' endpoints.
Author: Yuri Baramykov [aut, cre] , An Tao [ctb, cph] , Shuo Chen [ctb, cph] , Baptiste Lepilleur [ctb, cph] , Christopher Dunn [ctb] , JsonCpp Contributors [ctb, cph] , Bert Belder [ctb, cph] ), mman-win32 contributors [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

Diff between drogonR versions 0.1.8 dated 2026-07-04 and 0.1.9 dated 2026-08-27

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Package dawaR updated to version 0.3.3 with previous version 0.3.2 dated 2025-12-16

Title: An API Wrapper for 'DAWA' - 'The Danish Address Web API'
Description: Functions for interacting with all sections of the official 'Danish Address Web API' (also known as 'DAWA') <https://api.dataforsyningen.dk>. The development of this package is completely independent from the government agency, Klimadatastyrelsen, who maintains the API.
Author: Aleksander Bang-Larsen [aut, cre, cph] , Agency of Climate Data [ctb]
Maintainer: Aleksander Bang-Larsen <contact@aleksanderbl.dk>

Diff between dawaR versions 0.3.2 dated 2025-12-16 and 0.3.3 dated 2026-08-27

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Package prrd updated to version 0.0.7 with previous version 0.0.6 dated 2024-03-06

Title: Parallel Runs of Reverse Depends
Description: Reverse depends for a given package are queued such that multiple workers can run the reverse-dependency tests in parallel.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between prrd versions 0.0.6 dated 2024-03-06 and 0.0.7 dated 2026-08-27

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Package ncar updated to version 0.7.1 with previous version 0.7.0 dated 2026-07-20

Title: Noncompartmental Analysis for Pharmacokinetic Report
Description: Conduct a noncompartmental analysis with industrial strength. Some features are 1) CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method 5) Produce pdf, rtf, text report files. 6) Produce Installation and Operational Qualification (IQ/OQ) reports in pdf. After installation, qualify the package in your own environment: run pdfIQ() for Installation Qualification and pdfOQ() for Operational Qualification. Run writeMD5() once after installation so the IQ file-integrity check passes. To approve a report, sign it digitally in Adobe Acrobat Reader (generate with sigField=TRUE, or run addSigField(), to add click-to-sign fields), instead of printing and scanning; or use signPDF()/verifyPDF() for a scriptable signature. * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (I [...truncated...]
Author: Kyun-Seop Bae [aut, cre], Michael E. Schaffer [ctb, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between ncar versions 0.7.0 dated 2026-07-20 and 0.7.1 dated 2026-08-27

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New package MultiSEp with initial version 4.1.3
Package: MultiSEp
Title: Predict Synthetic Lethality and Other Gene Dependency Relationships from Multiomics Data
Version: 4.1.3
BuildVignettes: TRUE
Description: Predicts gene dependency relationships (GDRs) from functional genomics data. Regularised Gaussian mixture modelling may be applied for unsupervised clustering in addition to other data partitioning strategies. GDR analysis tools include discovery of synthetic lethal relationships and predicting population coverage for candidate drug targets from cancer patient mutational profiles. Functionality for visualisation is also available. 'MultiSEp' is applicable to data from a variety of sources including clinical cohorts, organoids and cell lines.
License: LGPL-2.1
Depends: R (>= 3.5.0)
Imports: pracma, pbapply, pbmcapply, reshape2, ggplot2, gtools, testthat, igraph, grid, patchwork, scales
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
NeedsCompilation: no
VignetteBuilder: knitr, rmarkdown
Suggests: rmarkdown, kableExtra, magrittr, knitr, dplyr
Language: en-GB
Packaged: 2026-08-20 23:43:29 UTC; ianover
Author: Adeline McKie [aut], Mark Wappett [aut], Ian Overton [aut, cre]
Maintainer: Ian Overton <i.overton@qub.ac.uk>
Repository: CRAN
Date/Publication: 2026-08-27 10:30:02 UTC

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New package lasars with initial version 0.1.1
Package: lasars
Title: Explore Response Style in Survey Responding
Version: 0.1.1
Description: Provides tools to fit the latent state and response style ('lasars') model to survey data using either Particle Metropolis within Gibbs ('pmwg') or maximum likelihood estimation. The package facilitates estimation of less-biased latent state and psychologically interpretable response style parameters.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, pmwg, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-21 05:20:20 UTC; jkg582
Author: Jess Grimmond [aut, cre], Guy Hawkins [aut], Scott Brown [aut], Quentin Gronau [aut]
Maintainer: Jess Grimmond <jess.grimmond@newcastle.edu.au>
Repository: CRAN
Date/Publication: 2026-08-27 10:10:02 UTC

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New package ExpDesignR with initial version 0.1.0
Package: ExpDesignR
Title: Experimental Design and Randomization Methods for Biomedical and Veterinary Research
Version: 0.1.0
Description: Generates randomized experimental designs for biomedical, veterinary, agricultural, and clinical research, including simple, block, stratified, and cluster randomization, Latin square and crossover designs, allocation summaries, schedule export, and visualization of treatment allocations. The methods are based on established principles of randomization and experimental design; see Rosenberger and Lachin (2015, ISBN:9781118742242) and Jones and Kenward (2014, ISBN:9781439861424).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats, utils, tibble, dplyr, ggplot2, rlang
Suggests: testthat (>= 3.0.0), covr, spelling, knitr, rmarkdown
URL: https://github.com/vinodhpmd/ExpDesignR
BugReports: https://github.com/vinodhpmd/ExpDesignR/issues
Language: en-US
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2026-08-21 07:53:39 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-27 10:30:08 UTC

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Package crch updated to version 1.2-3 with previous version 1.2-2 dated 2025-03-14

Title: Censored Regression with Conditional Heteroscedasticity
Description: Different approaches to censored or truncated regression with conditional heteroscedasticity are provided. First, continuous distributions can be used for the (right and/or left censored or truncated) response with separate linear predictors for the mean and variance. Second, cumulative link models for ordinal data (obtained by interval-censoring continuous data) can be employed for heteroscedastic extended logistic regression (HXLR). In the latter type of models, the intercepts depend on the thresholds that define the intervals. Infrastructure for working with censored or truncated normal, logistic, and Student-t distributions, i.e., d/p/q/r functions and distributions3 objects.
Author: Achim Zeileis [aut, cre] , Jakob W. Messner [aut] , Reto Stauffer [aut] , Ioannis Kosmidis [ctb] , Georg J. Mayr [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between crch versions 1.2-2 dated 2025-03-14 and 1.2-3 dated 2026-08-27

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Package pROC updated to version 1.19.1 with previous version 1.19.0.1 dated 2025-07-31

Title: Display and Analyze ROC Curves
Description: Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.
Author: Xavier Robin [cre, aut] , Natacha Turck [aut], Alexandre Hainard [aut], Natalia Tiberti [aut], Frederique Lisacek [aut], Jean-Charles Sanchez [aut], Markus Mueller [aut], Stefan Siegert [ctb] , Matthias Doering [ctb] , Zane Billings [ctb]
Maintainer: Xavier Robin <pROC-cran@xavamail.net>

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More information about pROC at CRAN
Permanent link

New package ORCI.Welch with initial version 0.1.1
Package: ORCI.Welch
Title: Approximate Odds Ratio Confidence Intervals with Welch's Adjustments
Version: 0.1.1
Author: Cosette Clinton [aut], McKenna Morgan [ctb], Kimihiro Noguchi [aut, cre]
Maintainer: Kimihiro Noguchi <kimihiro.noguchi@wwu.edu>
Description: Calculates approximate odds ratio confidence intervals with Welch's adjustments for a given dataset and ranks different odds ratio confidence intervals in terms of multiple metrics based on the dataset given. References for Welch's adjustments can be found at Pan (2002) <doi:10.1016/S0167-9473(01)00107-4> and Clinton, Morgan, and Noguchi (2026) <https://meetings.ams.org/math/jmm2026/meetingapp.cgi/Paper/58471>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: graphics
NeedsCompilation: no
Packaged: 2026-08-21 05:10:42 UTC; main
Repository: CRAN
Date/Publication: 2026-08-27 10:00:12 UTC

More information about ORCI.Welch at CRAN
Permanent link

Package SQMtools updated to version 1.8.1 with previous version 1.8.0 dated 2026-06-11

Title: Analyze Results Generated by the 'SqueezeMeta' Pipeline
Description: 'SqueezeMeta' is a versatile pipeline for the automated analysis of metagenomics/metatranscriptomics data (<https://github.com/jtamames/SqueezeMeta>). This package provides functions loading 'SqueezeMeta' results into R, filtering them based on different criteria, and visualizing the results using basic plots. The 'SqueezeMeta' project (and any subsets of it generated by the different filtering functions) is parsed into a single object, whose different components (e.g. tables with the taxonomic or functional composition across samples, contig/gene abundance profiles) can be easily analyzed using other R packages such as 'vegan' or 'DESeq2'. The methods in this package are further described in Puente-Sánchez et al., (2020) <doi:10.1186/s12859-020-03703-2>.
Author: Fernando Puente-Sanchez [aut, cre], Natalia Garcia-Garcia [aut]
Maintainer: Fernando Puente-Sanchez <fernando.puente.sanchez@slu.se>

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Package PGM2 updated to version 2.0.1 with previous version 2.0.0 dated 2026-07-30

Title: Recursive Construction of Nested Resolvable Designs and Associated Uniform Designs over GF(p)
Description: Recursive construction of balanced incomplete block designs (BIBDs), their successive generations, resolvable BIBDs (RBIBDs) and associated uniform designs (UDs), derived from finite projective geometries PG(m, p) over a Galois field GF(p) of any prime order p. Implements and generalises the method of Boudraa, Gheribi-Aoulmi and Laib (2013, International Journal of Research and Reviews in Applied Sciences, 17(2), 167-176), which was previously available only for p = 2, and the uniform design constructions of Fang et al. (2004) <doi:10.1016/S0012-365X(03)00100-6>. Designs of every recursion stage can be extracted, and all constructions are validated against the parameters published in the original paper.
Author: Mohamed Laib [aut, cre], Abla Boudraa [aut], Zebida Gheribi-Aoulmi [aut]
Maintainer: Mohamed Laib <laib.med@gmail.com>

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Package normref updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-10

Title: Continuous Norming
Description: A toolbox for continuous norming of psychological and educational tests, supporting regression-based norming where norms can vary as a continuous function of age or another norm predictor. Norms are estimated using Generalized Additive Models for Location, Scale, and Shape (GAMLSS), enabling flexible modelling of the full score distribution in a normative sample. The package supports applications in psychometrics and psychological testing, and includes functions for model selection, reliability estimation, norm calculation, including confidence intervals, and sample size planning. For more details, see Timmerman et al. (2021) <doi:10.1037/met0000348>.
Author: Klazien de Vries [aut] , Hannah Heister [aut] , Julian Urban [aut] , Lieke Voncken [ctb] , Marieke Timmerman [aut, cre]
Maintainer: Marieke Timmerman <m.e.timmerman@rug.nl>

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Package giscoR updated to version 1.2.0 with previous version 1.1.1 dated 2026-06-17

Title: Download 'Eurostat' 'GISCO' Spatial Data
Description: Tools to download global and European spatial data from the 'Eurostat' 'GISCO' (Geographic Information System of the Commission) data distribution <https://ec.europa.eu/eurostat/web/gisco>. The package provides helpers for country boundaries, 'NUTS' regions, administrative units, statistical units, transport networks, basic service locations and other 'GISCO' datasets. This package is not officially related to or endorsed by 'Eurostat'.
Author: Diego Hernangomez [aut, cre, cph] , Eurostat [cph] , EuroGeographics [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package scryr (with last version 1.0.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2022-01-28 1.0.0

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Package zoomerjoin updated to version 0.2.4 with previous version 0.2.3 dated 2026-03-14

Title: Superlatively Fast Fuzzy Joins
Description: Empowers users to fuzzily-merge data frames with millions or tens of millions of rows in minutes with low memory usage. The package uses the locality sensitive hashing algorithms developed by Datar, Immorlica, Indyk and Mirrokni (2004) <doi:10.1145/997817.997857>, and Broder (1998) <doi:10.1109/SEQUEN.1997.666900> to avoid having to compare every pair of records in each dataset, resulting in fuzzy-merges that finish in linear time.
Author: Beniamino Green [aut, cre, cph], Etienne Bacher [ctb] , The authors of the dependency Rust crates [ctb, cph]
Maintainer: Beniamino Green <beniamino.green@yale.edu>

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Package schoolmath updated to version 0.5.1 with previous version 0.5.0 dated 2026-07-07

Title: Functions and Datasets for Math Used in School
Description: Contains functions for math taught in school. A main focus is set to prime-calculation. The package also contains a dataset of all primes between 1 and 99,999,999.
Author: Joerg grosse Schlarmann [aut, cre]
Maintainer: Joerg grosse Schlarmann <schlarmann@produnis.de>

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Package RuHere updated to version 1.1.0 with previous version 1.0.1 dated 2026-02-17

Title: Flags Spatial Errors in Biological Collection Data Using Specialists' Information
Description: Automatically flags common spatial errors in biological collection data using metadata and specialists' information. RuHere implements a workflow to manage occurrence data through six steps: dataset merging, metadata flagging, validation against expert-derived distribution maps, visualization of flagged records, and sampling bias exploration. It specifically integrates specialist-curated range information to identify geographic errors and introductions that often escape standard automated validation procedures. For details on the methodology, see: Trindade & Caron (2026) <doi:10.64898/2026.02.02.703373>.
Author: Weverton C. F. Trindade [aut, cre] , Fernanda S. Caron [aut]
Maintainer: Weverton C. F. Trindade <wevertonf1993@gmail.com>

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Package RcppParallel updated to version 6.2.1 with previous version 6.2.0 dated 2026-07-30

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: Kevin Ushey [aut, cre] , JJ Allaire [aut], Romain Francois [aut, cph], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] , Hamada S. Badr [ctb] , Dirk Eddelbuettel [aut] , Intel [aut, cph] , UXL Foundation [aut, cph] , Microsoft [cph], Posit, PB [...truncated...]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package randomizr updated to version 2.0.1 with previous version 1.0.1 dated 2026-02-02

Title: Easy-to-Use Tools for Common Forms of Random Assignment and Sampling
Description: Generates random assignments for common experimental designs and random samples for common sampling designs.
Author: Alexander Coppock [aut, cre] , Jasper Cooper [ctb] , Neal Fultz [ctb] , Graeme Blair [ctb] , Macartan Humphreys [ctb]
Maintainer: Alexander Coppock <acoppock@gmail.com>

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Package PanelSelect updated to version 1.0.1 with previous version 1.0.0 dated 2025-10-25

Title: Panel Sample Selection Models
Description: Extends the Heckman selection framework to panel data with individual random effects. The first stage models participation via a panel Probit specification, while the second stage can take a panel linear, Probit, Poisson, or Poisson log-normal form. Model details are provided in Bailey and Peng (2025) <doi:10.2139/ssrn.5475626> and Peng and Van den Bulte (2024) <doi:10.1287/mnsc.2019.01897>.
Author: Jing Peng [aut, cre]
Maintainer: Jing Peng <jing.peng@uconn.edu>

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Package fastglm updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-07

Title: Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen'
Description: Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares implementation utilizes the step-halving approach of Marschner (2011) <doi:10.32614/RJ-2011-012> to help safeguard against convergence issues.
Author: Jared Huling [aut, cre], Douglas Bates [cph], Dirk Eddelbuettel [cph], Romain Francois [cph], Yixuan Qiu [cph], Noah Greifer [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

Diff between fastglm versions 0.1.1 dated 2026-06-07 and 0.1.2 dated 2026-08-27

 DESCRIPTION                       |    6 +++---
 MD5                               |   16 ++++++++--------
 inst/doc/count-firth-fastglm.html |   18 +++++++++---------
 inst/doc/fastglm-overview.html    |   12 ++++++------
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 inst/doc/firth-fastglm.html       |   20 ++++++++++----------
 inst/doc/large-data-fastglm.html  |    4 ++--
 src/bigmemory.cpp                 |    5 +++++
 src/fit_glm_dense.cpp             |    6 ++++++
 9 files changed, 55 insertions(+), 44 deletions(-)

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Package CDMConnector updated to version 2.7.0 with previous version 2.6.0 dated 2026-06-16

Title: Connect to an OMOP Common Data Model
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
Author: Ger Inberg [aut, cre] , Adam Black [aut] , Artem Gorbachev [aut], Edward Burn [aut], Marti Catala Sabate [aut], Ioanna Nika [aut]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

Diff between CDMConnector versions 2.6.0 dated 2026-06-16 and 2.7.0 dated 2026-08-27

 DESCRIPTION                            |    6 +-
 MD5                                    |   16 ++++---
 NEWS.md                                |    5 ++
 R/cdm.R                                |    3 -
 R/dateadd.R                            |    2 
 inst/breast_cancer.json                |only
 inst/doc/a01_getting-started.html      |   70 ++++++++++++++++-----------------
 inst/doc/a06_using_cdm_attributes.html |    4 -
 inst/testv1.json                       |only
 man/CDMConnector-package.Rd            |    3 -
 10 files changed, 59 insertions(+), 50 deletions(-)

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Package filibustr (with last version 0.5.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-04-06 0.5.2
2025-12-05 0.5.1
2025-10-26 0.5.0
2025-08-19 0.4.1
2025-05-11 0.4.0
2025-03-31 0.3.0
2024-05-02 0.2.1
2024-03-01 0.2.0
2024-02-13 0.1.1

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Package DSIR (with last version 0.8.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-07-02 0.8.0
2026-05-23 0.7.1
2026-05-21 0.7.0
2026-04-21 0.2.0

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Package confidenceCurves updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-01

Title: Frequentist Confidence Analysis for Clinical Trials
Description: Frequentist confidence analysis answers the question: How confident are we in a particular treatment effect? This package calculates the frequentist confidence in a treatment effect of interest given observed data, and returns the family of confidence curves associated with that data.
Author: Freda Werdiger [aut, cre]
Maintainer: Freda Werdiger <freda.werdiger@unimelb.edu.au>

Diff between confidenceCurves versions 0.2.0 dated 2025-10-01 and 0.2.1 dated 2026-08-27

 DESCRIPTION          |    6 +++---
 MD5                  |    5 +++--
 NEWS.md              |only
 R/confidenceCurves.R |   22 ++++++++++++----------
 4 files changed, 18 insertions(+), 15 deletions(-)

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