Tue, 10 Mar 2026

Package wdnet updated to version 1.2.4 with previous version 1.2.3 dated 2024-03-03

Title: Weighted and Directed Networks
Description: Assortativity coefficients, centrality measures, and clustering coefficients for weighted and directed networks. Rewiring unweighted networks with given assortativity coefficients. Generating general preferential attachment networks.
Author: Yelie Yuan [aut, cre], Tiandong Wang [aut], Jun Yan [aut], Panpan Zhang [aut]
Maintainer: Yelie Yuan <yelie.yuan@gmail.com>

Diff between wdnet versions 1.2.3 dated 2024-03-03 and 1.2.4 dated 2026-03-10

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Package tramnet updated to version 0.0-991 with previous version 0.0-99 dated 2026-03-06

Title: Penalized Transformation Models
Description: Partially penalized versions of specific transformation models implemented in package 'mlt'. Available models include a fully parametric version of the Cox model, other parametric survival models (Weibull, etc.), models for binary and ordered categorical variables, normal and transformed-normal (Box-Cox type) linear models, and continuous outcome logistic regression. Hyperparameter tuning is facilitated through model-based optimization functionalities from package 'mlrMBO'. The accompanying vignette describes the methodology used in 'tramnet' in detail. Transformation models and model-based optimization are described in Hothorn et al. (2019) <doi:10.1111/sjos.12291> and Bischl et al. (2016) <doi:10.48550/arXiv.1703.03373>, respectively.
Author: Lucas Kook [cre, aut], Balint Tamasi [ctb], Sandra Siegfried [ctb], Samuel Pawel [ctb], Torsten Hothorn [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

Diff between tramnet versions 0.0-99 dated 2026-03-06 and 0.0-991 dated 2026-03-10

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Package SubgrpID updated to version 0.14 with previous version 0.13 dated 2026-03-07

Title: Patient Subgroup Identification for Clinical Drug Development
Description: Implementation of Sequential BATTing (bootstrapping and aggregating of thresholds from trees) for developing threshold-based multivariate (prognostic/predictive) biomarker signatures. Variable selection is automatically built-in. Final signatures are returned with interaction plots for predictive signatures. Cross-validation performance evaluation and testing dataset results are also output. Detail algorithms are described in Huang et al (2017) <doi:10.1002/sim.7236>.
Author: Xin Huang [aut, cre, cph], Yan Sun [aut], Saptarshi Chatterjee [aut], Paul Trow [aut]
Maintainer: Xin Huang <xin.huang@abbvie.com>

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Package smallstuff readmission to version 1.0.6 with previous version 1.0.5 dated 2025-05-16

Title: Dr. Small's Functions
Description: Collection of utility functions supporting statistical modeling, regression analysis, and network analysis workflows used in data science research. Includes tools for model selection, matrix operations, graph analysis, and related statistical computations.
Author: Ellie Small [aut, cre]
Maintainer: Ellie Small <ellie_small@yahoo.com>

This is a re-admission after prior archival of version 1.0.5 dated 2025-05-16

Diff between smallstuff versions 1.0.5 dated 2025-05-16 and 1.0.6 dated 2026-03-10

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Package simts updated to version 0.2.4 with previous version 0.2.3 dated 2025-10-08

Title: Time Series Analysis Tools
Description: A system contains easy-to-use tools as a support for time series analysis courses. In particular, it incorporates a technique called Generalized Method of Wavelet Moments (GMWM) as well as its robust implementation for fast and robust parameter estimation of time series models which is described, for example, in Guerrier et al. (2013) <doi: 10.1080/01621459.2013.799920>. More details can also be found in the paper linked to via the URL below.
Author: Stephane Guerrier [aut, cre, cph], James Balamuta [aut, cph], Roberto Molinari [aut, cph], Justin Lee [aut], Lionel Voirol [aut], Yuming Zhang [aut], Wenchao Yang [ctb], Nathanael Claussen [ctb], Yunxiang Zhang [ctb], Christian Gunning [cph], Romain [...truncated...]
Maintainer: Stephane Guerrier <stef.guerrier@gmail.com>

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Package sdcMicro updated to version 5.8.1 with previous version 5.8.0 dated 2026-01-09

Title: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation
Description: Data from statistical agencies and other institutions are mostly confidential. This package, introduced in Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>, can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymization methods are included. Note that the package includes a graphical user interface published in Meindl and Templ (2019) <doi:10.3390/a12090191> that allows to use various methods of this package.
Author: Matthias Templ [aut, cre] , Bernhard Meindl [aut], Alexander Kowarik [aut] , Johannes Gussenbauer [aut], Organisation For Economic Co-Operation And Development [cph] code code for rank swapping, mdav-microaggregation, suda2 and other risk measures [...truncated...]
Maintainer: Matthias Templ <matthias.templ@gmail.com>

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Package rjd3jars updated to version 0.0.3 with previous version 0.0.2 dated 2026-03-05

Title: External jars for 'rjdverse' R Packages
Description: It provides external jars required for the 'rjdverse' (as 'rjd3toolkit', 'rjd3x13' and 'rjd3tramoseats').
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

Diff between rjd3jars versions 0.0.2 dated 2026-03-05 and 0.0.3 dated 2026-03-10

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Package otelsdk updated to version 0.2.3 with previous version 0.2.2 dated 2025-10-07

Title: R SDK and Exporters for OpenTelemetry
Description: OpenTelemetry is a collection of tools, APIs, and SDKs used to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) for analysis in order to understand your software's performance and behavior. This package contains the OpenTelemetry SDK, and exporters. Use this package to export traces, metrics, logs from instrumented R code. Use the otel package to instrument your R code for OpenTelemetry.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd] , opentelemetry-cpp authors [ctb]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between otelsdk versions 0.2.2 dated 2025-10-07 and 0.2.3 dated 2026-03-10

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Package libopenexr updated to version 3.4.4-2 with previous version 3.4.4-1 dated 2026-03-09

Title: Static Library and Headers for 'OpenEXR' Image I/O
Description: Provides the 'OpenEXR' static library and 'C++' headers for high-dynamic-range image I/O (see <https://openexr.com/>) needed to link R packages against the 'OpenEXR' library, along with a basic R interface to load 'EXR' images.
Author: Tyler Morgan-Wall [aut, cre] , Aaron Demolder [ctb, cph], Abe Fettig [ctb, cph], Aloys Baillet [ctb, cph], Andre Mazzone [ctb, cph], Andrew Kunz [ctb, cph], Anton Dukhovnikov [ctb, cph], Antonio Rojas [ctb, cph], Aras Pranckevicius [ctb, cph], Arkady [...truncated...]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

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Package fastbioclim updated to version 0.4.1 with previous version 0.3.0 dated 2025-11-26

Title: Scalable and Flexible Derivation of Custom-Time Bioclimatic and Environmental Summary Variables
Description: Provides an efficient tool for creating custom-time bioclimatic and derived environmental summary variables from user-supplied raster data for user-defined timeframes. The package overcomes computational bottlenecks by automatically switching between an in-memory framework using the 'terra' package to maximize speed for smaller datasets, and an on-disk tiling framework for rasters that exceed available RAM, leveraging 'exactextractr' and 'Rfast' to process data in chunks. The core functions, derive_bioclim() and derive_statistics(), offer a unified interface with flexibility for custom time periods beyond standard quarters and the use of fixed temporal indices, facilitating the creation of temporally-matched environmental variables for ecological and biogeographical modeling. Visit the package website <https://gepinillab.github.io/fastbioclim/> to find tutorials in English and Spanish.
Author: Gonzalo E. Pinilla-Buitrago [aut, cre] , Luis Osorio-Olvera [aut]
Maintainer: Gonzalo E. Pinilla-Buitrago <gepinillab@gmail.com>

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Package eVCGsampler updated to version 1.0.0 with previous version 0.9.5 dated 2026-02-13

Title: VCG Sampling using Energy-Based Covariate Balancing
Description: Provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.
Author: Andreas Schulz [aut, cre] , Sanofi [cph, fnd]
Maintainer: Andreas Schulz <andreas.schulz2@sanofi.com>

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Package epicR updated to version 1.0.0 with previous version 0.9.0 dated 2026-03-08

Title: Evaluation Platform in Chronic Obstructive Pulmonary Disease
Description: Evaluation Platform in Chronic Obstructive Pulmonary Disease (EPIC) is a Discrete Event Simulation (DES) model that simulates health outcomes of patients with Chronic Obstructive Pulmonary Disease (COPD) based on demographics and individual-level risk factors, based on the model published in Sadatsafavi et al. (2019) <doi:10.1177/0272989X18824098>.
Author: Mohsen Sadatsafavi [aut, cph], Amin Adibi [aut, cre], Kate Johnson [aut]
Maintainer: Amin Adibi <adibi@alumni.ubc.ca>

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Package EmbedSOM readmission to version 2.2.1 with previous version 2.2 dated 2025-01-31

Title: Fast Embedding Guided by Self-Organizing Map
Description: Provides a smooth mapping of multidimensional points into low-dimensional space defined by a self-organizing map. Designed to work with 'FlowSOM' and flow-cytometry use-cases. See Kratochvil et al. (2019) <doi:10.12688/f1000research.21642.1>.
Author: Mirek Kratochvil [aut, cre], Sofie Van Gassen [cph], Britt Callebaut [cph], Yvan Saeys [cph], Ron Wehrens [cph]
Maintainer: Mirek Kratochvil <exa.exa@gmail.com>

This is a re-admission after prior archival of version 2.2 dated 2025-01-31

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Package baycn readmission to version 2.0.0 with previous version 1.2.0 dated 2020-07-31

Title: Bayesian Inference for Causal Networks
Description: An approximate Bayesian method for inferring Directed Acyclic Graphs (DAGs) for continuous, discrete, and mixed data. The algorithm can use the graph inferred by another more efficient graph inference method as input; the input graph may contain false edges or undirected edges but can help reduce the search space to a more manageable size. A Metropolis-Hastings-like sampling algorithm is then used to infer the posterior probabilities of edge direction and edge absence. References: Martin, Patchigolla and Fu (2026) <doi:10.48550/arXiv.1909.10678>.
Author: Evan A Martin [aut], Venkata Patchigolla [ctb], Audrey Fu [aut, cre]
Maintainer: Audrey Fu <audreyqyfu@gmail.com>

This is a re-admission after prior archival of version 1.2.0 dated 2020-07-31

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Package AsianOption updated to version 0.2.0 with previous version 0.1.0 dated 2025-12-22

Title: Asian Option Pricing under Price Impact
Description: Implements the framework of Tiwari and Majumdar (2025) <doi:10.48550/arXiv.2512.07154> for valuing arithmetic and geometric Asian options under transient and permanent market impact. Provides three pricing approaches: Kemna-Vorst frictionless benchmarks, exogenous diffusion pricing (closed-form for geometric, Monte Carlo for arithmetic), and endogenous Hamilton-Jacobi-Bellman valuation via a tree-based Bellman scheme producing indifference bid-ask prices.
Author: Priyanshu Tiwari [aut, cre] , Sourav Majumdar [ctb]
Maintainer: Priyanshu Tiwari <tiwari.priyanshu.iitk@gmail.com>

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Package simDAG updated to version 0.5.1 with previous version 0.5.0 dated 2026-01-08

Title: Simulate Data from a (Time-Dependent) Causal DAG
Description: Simulate complex data from a given directed acyclic graph and information about each individual node. Root nodes are simply sampled from the specified distribution. Child Nodes are simulated according to one of many implemented regressions, such as logistic regression, linear regression, poisson regression or any other function. Also includes a comprehensive framework for discrete-time simulation, discrete-event simulation, and networks-based simulation which can generate even more complex longitudinal and dependent data. For more details, see Robin Denz, Nina Timmesfeld (2025) <doi:10.48550/arXiv.2506.01498>.
Author: Robin Denz [aut, cre], Katharina Meiszl [aut]
Maintainer: Robin Denz <robin.denz@rub.de>

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Package MBBEFDLite updated to version 1.0.0 with previous version 0.1.0 dated 2026-01-08

Title: Statistical Functions for the Maxwell-Boltzmann-Bose-Einstein-Fermi-Dirac (MBBEFD) Family of Distributions
Description: Provides probability mass, distribution, quantile, random variate generation, and method-of-moments parameter fitting for the MBBEFD family of distributions used in insurance modeling as described in Bernegger (1997) <doi:10.2143/AST.27.1.563208> without any external dependencies.
Author: Avraham Adler [aut, cre, cph]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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Package measles (with last version 0.1.1) was removed from CRAN

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

2026-02-21 0.1.1
2026-02-12 0.1.0

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Package wbids updated to version 1.1.4 with previous version 1.1.3 dated 2025-12-20

Title: Seamless Access to World Bank International Debt Statistics (IDS)
Description: Access and analyze the World Bank's International Debt Statistics (IDS) <https://www.worldbank.org/en/programs/debt-statistics/ids>. IDS provides creditor-debtor relationships between countries, regions, and institutions. 'wbids' enables users to download, process and work with IDS series across multiple geographies, counterparts, and time periods.
Author: Teal Emery [aut, cre], Teal Insights [cph], Christoph Scheuch [aut] , Christopher Smith [ctb]
Maintainer: Teal Emery <lte@tealinsights.com>

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Package spatstat.utils updated to version 3.2-2 with previous version 3.2-1 dated 2026-01-10

Title: Utility Functions for 'spatstat'
Description: Contains utility functions for the 'spatstat' family of packages which may also be useful for other purposes.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package sooty updated to version 0.6.1 with previous version 0.6.0 dated 2026-03-03

Title: Data Source Catalogues Online for Southern Ocean Ecosystem Research
Description: Obtains lists of files of remote sensing collections for Southern Ocean surface properties. Commonly used data sources of sea surface temperature, sea ice concentration, and altimetry products such as sea surface height and sea surface currents are cached in object storage on the Pawsey Supercomputing Research Centre facility. Patterns of working to retrieve data from these object storage catalogues are described. The catalogues include complete collections of datasets Reynolds et al. (2008) "NOAA Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1" <doi:10.7289/V5SQ8XB5>, Spreen et al. (2008) "Artist Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) sea ice concentration" <doi:10.1029/2005JC003384>. In future releases helpers will be added to identify particular data collections and target specific dates for earth observation data for reading, as well as helpers to retrieve data set citation and provenance details. This wor [...truncated...]
Author: Michael D. Sumner [aut, cre], Aleks Terauds [cph, ctb] ')
Maintainer: Michael D. Sumner <michael.sumner@aad.gov.au>

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Package enrichit updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-26

Title: 'C++' Implementations of Functional Enrichment Analysis
Description: Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA). The multilevel GSEA algorithm is derived from the 'fgsea' package. Methods are described in Subramanian et al. (2005) <doi:10.1073/pnas.0506580102> and Korotkevich et al. (2021) <doi:10.1101/060012>.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package duckplyr updated to version 1.2.1 with previous version 1.2.0 dated 2026-02-25

Title: A 'DuckDB'-Backed Version of 'dplyr'
Description: A drop-in replacement for 'dplyr', powered by 'DuckDB' for performance. Offers convenient utilities for working with in-memory and larger-than-memory data while retaining full 'dplyr' compatibility.
Author: Hannes Muehleisen [aut] , Kirill Mueller [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package dnr updated to version 0.3.6 with previous version 0.3.5 dated 2020-11-30

Title: Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family
Description: Functions are provided to fit temporal lag models to dynamic networks. The models are build on top of exponential random graph models (ERGM) framework. There are functions for simulating or forecasting networks for future time points. Abhirup Mallik & Zack W. Almquist (2019) Stable Multiple Time Step Simulation/Prediction From Lagged Dynamic Network Regression Models, Journal of Computational and Graphical Statistics, 28:4, 967-979, <DOI: 10.1080/10618600.2019.1594834>.
Author: Abhirup Mallik [aut, cre], Zack Almquist [aut]
Maintainer: Abhirup Mallik <abhirupkgp@gmail.com>

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Package causalOT updated to version 1.0.4 with previous version 1.0.3 dated 2026-02-14

Title: Optimal Transport Weights for Causal Inference
Description: Uses optimal transport distances to find probabilistic matching estimators for causal inference. These methods are described in Dunipace, Eric (2021) <doi:10.48550/arXiv.2109.01991>. The package will build the weights, estimate treatment effects, and calculate confidence intervals via the methods described in the paper. The package also supports several other methods as described in the help files.
Author: Eric Dunipace [aut, cre]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>

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Package BayesianTools updated to version 0.1.9 with previous version 0.1.8 dated 2023-01-30

Title: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
Description: General-purpose MCMC and SMC samplers, as well as plots and diagnostic functions for Bayesian statistics, with a particular focus on calibrating complex system models. Implemented samplers include various Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential Monte Carlo (SMC) particle filter.
Author: Florian Hartig [aut, cre] , Francesco Minunno [aut], Stefan Paul [aut], David Cameron [ctb], Tankred Ott [ctb], Maximilian Pichler [ctb]
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>

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