Fri, 27 Mar 2026

Package letsR readmission to version 6.0 with previous version 5.0 dated 2023-11-23

Title: Data Handling and Analysis in Macroecology
Description: Handling, processing, and analyzing geographic data on species' distributions and environmental variables. Read Vilela & Villalobos (2015) <doi:10.1111/2041-210X.12401> for details.
Author: Bruno Vilela [aut, cre] , Fabricio Villalobos [aut]
Maintainer: Bruno Vilela <bvilela.bv@gmail.com>

This is a re-admission after prior archival of version 5.0 dated 2023-11-23

Diff between letsR versions 5.0 dated 2023-11-23 and 6.0 dated 2026-03-27

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 letsR-5.0/letsR/man/figures                                                                                   |only
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 letsR-6.0/letsR/DESCRIPTION                                                                                   |   16 
 letsR-6.0/letsR/MD5                                                                                           |  193 
 letsR-6.0/letsR/NAMESPACE                                                                                     |   18 
 letsR-6.0/letsR/R/Data_helps.R                                                                                |  147 
 letsR-6.0/letsR/R/PresenceAbsence-class.R                                                                     |  117 
 letsR-6.0/letsR/R/defensive_functions.R                                                                       |   58 
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 letsR-6.0/letsR/R/lets_field.R                                                                                |  264 
 letsR-6.0/letsR/R/lets_iucncont.R                                                                             |  133 
 letsR-6.0/letsR/R/lets_maplizer.R                                                                             |   84 
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 letsR-6.0/letsR/R/lets_maplizer_env.R                                                                         |only
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 letsR-6.0/letsR/R/lets_save_load.R                                                                            |  116 
 letsR-6.0/letsR/R/lets_shpfilter.R                                                                            |   24 
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 letsR-6.0/letsR/R/removecells.R                                                                               |    2 
 letsR-6.0/letsR/R/unicas.R                                                                                    |   64 
 letsR-6.0/letsR/README.md                                                                                     |  100 
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 letsR-6.0/letsR/data/temp.rda                                                                                 |binary
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 letsR-6.0/letsR/inst/doc/mapping-species-traits.R                                                             |   85 
 letsR-6.0/letsR/inst/doc/mapping-species-traits.Rmd                                                           |    1 
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 letsR-6.0/letsR/inst/doc/save-load-presenceabsence.R                                                          |   29 
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 letsR-6.0/letsR/man/IUCN.Rd                                                                                   |   24 
 letsR-6.0/letsR/man/PAM.Rd                                                                                    |   12 
 letsR-6.0/letsR/man/Phyllomedusa.Rd                                                                           |   22 
 letsR-6.0/letsR/man/PresenceAbsence.Rd                                                                        |    3 
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 letsR-6.0/letsR/man/lets.iucncont.Rd                                                                          |    3 
 letsR-6.0/letsR/man/lets.maplizer.Rd                                                                          |    6 
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 letsR-6.0/letsR/man/lets.presab.Rd                                                                            |   23 
 letsR-6.0/letsR/man/lets.presab.birds.Rd                                                                      |    8 
 letsR-6.0/letsR/man/lets.presab.grid.Rd                                                                       |   10 
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 letsR-6.0/letsR/man/lets.shFilter.Rd                                                                          |   17 
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 letsR-6.0/letsR/man/letsR-package.Rd                                                                          |    7 
 letsR-6.0/letsR/man/prec.Rd                                                                                   |only
 letsR-6.0/letsR/man/temp.Rd                                                                                   |   43 
 letsR-6.0/letsR/man/wrld_simpl.Rd                                                                             |   40 
 letsR-6.0/letsR/tests/testthat/Rplots.pdf                                                                     |binary
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 letsR-6.0/letsR/tests/testthat/test-lets_addvar.R                                                             |   13 
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 letsR-6.0/letsR/tests/testthat/test-lets_attrpam.R                                                            |only
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 letsR-6.0/letsR/tests/testthat/test-printplotsummary.R                                                        |   42 
 letsR-6.0/letsR/tests/testthat/test-removecells.R                                                             |   36 
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Package isopam readmission to version 3.6 with previous version 3.5 dated 2026-03-08

Title: Clustering of Sites with Species Data
Description: Clustering algorithm developed for use with plot inventories of species. It groups plots by subsets of diagnostic species rather than overall species composition. There is an unsupervised and a supervised mode, the latter accepting suggestions for species with greater weight and cluster medoids.
Author: Sebastian Schmidtlein [aut, cre] , Jason Collison [aut], Robin Pfannendoerfer [aut], Lubomir Tichy [ctb]
Maintainer: Sebastian Schmidtlein <schmidtlein@kit.edu>

This is a re-admission after prior archival of version 3.5 dated 2026-03-08

Diff between isopam versions 3.5 dated 2026-03-08 and 3.6 dated 2026-03-27

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Package heavytails updated to version 0.2.0 with previous version 0.1.1 dated 2025-12-01

Title: Estimators and Algorithms for Heavy-Tailed Distributions
Description: Implements the estimators and algorithms described in Chapters 8 and 9 of the book "The Fundamentals of Heavy Tails: Properties, Emergence, and Estimation" by Nair et al. (2022, ISBN:9781009053730). These include the Hill estimator, Moments estimator, Pickands estimator, Peaks-over-Threshold (POT) method, Power-law fit, and the Double Bootstrap algorithm.
Author: Farid Rohan [aut, cre]
Maintainer: Farid Rohan <frohan@ur.rochester.edu>

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Package gsynth updated to version 1.4.0 with previous version 1.3.1 dated 2025-12-09

Title: Generalized Synthetic Control Method
Description: Conducts causal inference with interactive fixed-effect models. It imputes counterfactuals for each treated unit using control group information based on a linear interactive fixed effects model that incorporates unit-specific intercepts interacted with time-varying coefficients. This method generalizes the synthetic control method to the case of multiple treated units and variable treatment periods, and improves efficiency and interpretability. See Xu (2017) <doi:10.1017/pan.2016.2> for details.
Author: Yiqing Xu [aut, cre] , Licheng Liu [aut], Ziyi Liu [aut], Shiyun Hu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package edgarfundamentals updated to version 0.1.2 with previous version 0.1.1 dated 2026-03-26

Title: Retrieve Fundamental Financial Data from SEC 'EDGAR'
Description: Provides a simple, ticker-based interface for retrieving fundamental financial data from the United States Securities and Exchange Commission's 'EDGAR' 'XBRL' API <https://www.sec.gov/edgar/sec-api-documentation>. Functions return key financial ratios including earnings per share, return on equity, return on assets, debt-to-equity, current ratio, gross margin, operating margin, net margin, price-to-earnings, price-to-book, and dividend yield for any publicly traded U.S. company. Data is sourced directly from company 10-K annual filings, requiring no API key or paid subscription. Designed for use in quantitative finance courses and research workflows.
Author: Robert P Schumaker [aut, cre]
Maintainer: Robert P Schumaker <rob.schumaker@gmail.com>

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Package MuMIn updated to version 1.48.19 with previous version 1.48.11 dated 2025-04-01

Title: Multi-Model Inference
Description: Tools for model selection and model averaging with support for a wide range of statistical models. Automated model selection through subsets of the maximum model, with optional constraints for model inclusion. Averaging of model parameters and predictions based on model weights derived from information criteria (AICc and alike) or custom model weighting schemes.
Author: Kamil Barton [aut, cre]
Maintainer: Kamil Barton <kamil.barton@go2.pl>

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Package measr updated to version 2.0.1 with previous version 2.0.0 dated 2026-01-14

Title: Bayesian Psychometric Measurement Using 'Stan'
Description: Estimate diagnostic classification models (also called cognitive diagnostic models) with 'Stan'. Diagnostic classification models are confirmatory latent class models, as described by Rupp et al. (2010, ISBN: 978-1-60623-527-0). Automatically generate 'Stan' code for the general loglinear cognitive diagnostic diagnostic model proposed by Henson et al. (2009) <doi:10.1007/s11336-008-9089-5> and other subtypes that introduce additional model constraints. Using the generated 'Stan' code, estimate the model evaluate the model's performance using model fit indices, information criteria, and reliability metrics.
Author: W. Jake Thompson [aut, cre] , Jeffrey Hoover [aut] , Auburn Jimenez [ctb] , Nathan Jones [ctb] , Matthew Johnson [cph] `), University of Kansas [cph], Institute of Education Sciences [fnd]
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>

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Package AQEval updated to version 0.6.11 with previous version 0.6.2 dated 2025-07-14

Title: Air Quality Evaluation
Description: Developed for use by those tasked with the routine detection, characterisation and quantification of discrete changes in air quality time-series, such as identifying the impacts of air quality policy interventions. The main functions use signal isolation then break-point/segment (BP/S) methods based on 'strucchange' and 'segmented' methods to detect and quantify change events (Ropkins & Tate, 2021, <doi:10.1016/j.scitotenv.2020.142374>; Ropkins et al., 2026, <doi:10.21105/joss.08839>).
Author: Karl Ropkins [aut, cre] , Anthony Walker [aut] , James Tate [aut]
Maintainer: Karl Ropkins <k.ropkins@its.leeds.ac.uk>

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Package nlme updated to version 3.1-169 with previous version 3.1-168 dated 2025-03-31

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: Jose Pinheiro [aut] , Douglas Bates [aut] , Saikat DebRoy [ctb] , Deepayan Sarkar [ctb] , EISPACK authors [ctb] , Siem Heisterkamp [ctb] , Bert Van Willigen [ctb] , Johannes Ranke [ctb] ), R Core Team [aut, cre]
Maintainer: R Core Team <R-core@R-project.org>

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Package malariaAtlas updated to version 1.7.0 with previous version 1.6.4 dated 2025-06-11

Title: An R Interface to Open-Access Malaria Data, Hosted by the 'Malaria Atlas Project'
Description: A suite of tools to allow you to download all publicly available parasite rate survey points, mosquito occurrence points and raster surfaces from the 'Malaria Atlas Project' <https://malariaatlas.org/> servers as well as utility functions for plotting the downloaded data.
Author: Mauricio van den Berg [aut, cre], Daniel Pfeffer [aut] , Tim Lucas [aut] , Daniel May [aut] , Suzanne Keddie [aut] , Jen Rozier [aut] , Oliver Watson [aut] , Harry Gibson [aut] , Nick Golding [ctb], David Smith [ctb]
Maintainer: Mauricio van den Berg <mauricio.vandenberg@thekids.org.au>

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Package letsRept updated to version 1.1.1 with previous version 1.1.0 dated 2025-10-21

Title: An Interface to the Reptile Database
Description: Provides tools to retrieve and summarize taxonomic information and synonymy data for reptile species using data scraped from The Reptile Database website (<https://reptile-database.reptarium.cz/>). Outputs include clean and structured data frames useful for ecological, evolutionary, and conservation research.
Author: Joao Paulo dos Santos Vieira-Alencar [aut, cre] , Christoph Liedtke [aut]
Maintainer: Joao Paulo dos Santos Vieira-Alencar <joaopaulo.valencar@gmail.com>

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Package EMOTIONS updated to version 1.2 with previous version 1.1 dated 2026-01-28

Title: Ensemble Models for Lactation Curves
Description: Lactation curves describe temporal changes in milk yield and are key to breeding and managing dairy animals more efficiently. The use of ensemble modeling, which consists of combining predictions from multiple models, has the potential to yields more accurate and robust estimates of lactation patterns than relying solely on single model estimates. The package EMOTIONS fits 47 models for lactation curves and creates ensemble models using model averaging based on Akaike information criterion (AIC), Bayesian information criterion (BIC), root mean square percentage error (RMSPE) and mean squared error (MAE), variance of the predictions, cosine similarity for each model's predictions, and Bayesian Model Average (BMA). The daily production values predicted through the ensemble models can be used to estimate resilience indicators in the package. The package allows the graphical visualization of the model ranks and the predicted lactation curves. Additionally, the packages allows the user to d [...truncated...]
Author: Pablo Fonseca [aut, cre], Marcos Prates [aut], Aroa Suarez-Vega [aut], Ruth Arribas Gonzalo [aut], Beatriz Gutierrez-Gil [aut], Juan Jose Arranz [aut]
Maintainer: Pablo Fonseca <p.fonseca@csic.es>

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Package CEOdata readmission to version 1.4.0 with previous version 1.3.1.1 dated 2023-07-06

Title: Datasets of the CEO (Centre d'Estudis d'Opinio) for Opinion Polls in Catalonia
Description: Easy and convenient access to the datasets of the "Centre d'Estudis d'Opinio", the Catalan institution for polling and public opinion. The package retrieves microdata directly from the open data platform of the Generalitat de Catalunya and returns it in a tidy format.
Author: Xavier Fernandez-i-Marin [aut] , Joel Ardiaca [aut, cre]
Maintainer: Joel Ardiaca <joelardiacaarnau@gencat.cat>

This is a re-admission after prior archival of version 1.3.1.1 dated 2023-07-06

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Package SPAS updated to version 2026.4.1 with previous version 2025.2.1 dated 2025-02-06

Title: Stratified-Petersen Analysis System
Description: The Stratified-Petersen Analysis System (SPAS) is designed to estimate abundance in two-sample capture-recapture experiments where the capture and recaptures are stratified. This is a generalization of the simple Lincoln-Petersen estimator. Strata may be defined in time or in space or both, and the s strata in which marking takes place may differ from the t strata in which recoveries take place. When s=t, SPAS reduces to the method described by Darroch (1961) <doi:10.2307/2332748>. When s<t, SPAS implements the methods described in Plante, Rivest, and Tremblay (1988) <doi:10.2307/2533994>. Schwarz and Taylor (1998) <doi:10.1139/f97-238> describe the use of SPAS in estimating return of salmon stratified by time and geography. A related package, BTSPAS, deals with temporal stratification where a spline is used to model the distribution of the population over time as it passes the second capture location. This is the R-version of the (now obsolete) standalone Windows [...truncated...]
Author: Carl James Schwarz [aut, cre]
Maintainer: Carl James Schwarz <cschwarz.stat.sfu.ca@gmail.com>

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

Title: Interpolate Bathymetry and Quantify Physical Aquatic Habitat
Description: Offers bathymetric interpolation using Inverse Distance Weighted and Ordinary Kriging via the 'gstat' and 'terra' packages. Other functions focus on quantifying physical aquatic habitats (e.g., littoral, epliminion, metalimnion, hypolimnion) from interpolated digital elevation models (DEMs). Functions were designed to calculate these metrics across water levels for use in reservoirs but can be applied to any DEM and will provide values for fixed conditions. Parameters like Secchi disk depth or estimated photic zone, thermocline depth, and water level fluctuation depth are included in most functions.
Author: Tristan Blechinger [aut, cre] , Sean Bertalot [aut]
Maintainer: Tristan Blechinger <tblechin@uwyo.edu>

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Package REPS updated to version 1.1.1 with previous version 1.1.0 dated 2026-03-16

Title: Hedonic and Multilateral Index Methods for Real Estate Price Statistics
Description: Compute price indices using various Hedonic and multilateral methods, including Laspeyres, Paasche, Fisher, and HMTS (Hedonic Multilateral Time series re-estimation with splicing). The central function calculate_hedonic_index() offers a unified interface for running these methods on structured datasets. This package is designed to support index construction workflows across a wide range of domains — including but not limited to real estate — where quality-adjusted price comparisons over time are essential. The development of this package was funded by Eurostat and Statistics Netherlands (CBS), and carried out by Statistics Netherlands. The HMTS method implemented here is described in Ishaak, Ouwehand and Remøy (2024) <doi:10.1177/0282423X241246617>. For broader methodological context, see Eurostat (2013, ISBN:978-92-79-25984-5, <doi:10.2785/34007>).
Author: Farley Ishaak [aut], Pim Ouwehand [aut], David Pietersz [aut], Liu Nuo Su [aut], Cynthia Cao [aut], Mohammed Kardal [aut], Odens van der Zwan [aut], Vivek Gajadhar [aut, cre]
Maintainer: Vivek Gajadhar <v.gajadhar@cbs.nl>

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Package MN updated to version 1.1 with previous version 1.0 dated 2024-05-22

Title: Matrix Normal Distribution
Description: Density computation, random matrix generation and maximum likelihood estimation of the matrix normal distribution. References: Pocuca N., Gallaugher M. P., Clark K. M. & McNicholas P. D. (2019). Assessing and Visualizing Matrix Variate Normality. <doi:10.48550/arXiv.1910.02859> and the relevant wikipedia page.
Author: Michail Tsagris [aut, cre], Alzeley Omar [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package fect updated to version 2.2.0 with previous version 2.1.0 dated 2026-01-17

Title: Fixed Effects Counterfactual Estimators
Description: Provides tools for estimating causal effects in panel data using counterfactual methods, as well as other modern DID estimators. It is designed for causal panel analysis with binary treatments under the parallel trends assumption. The package supports scenarios where treatments can switch on and off and allows for limited carryover effects. It includes several imputation estimators, such as Gsynth (Xu 2017), linear factor models, and the matrix completion method. Detailed methodology is described in Liu, Wang, and Xu (2024) <doi:10.48550/arXiv.2107.00856> and Chiu et al. (2025) <doi:10.48550/arXiv.2309.15983>. Optionally integrates with the "HonestDiDFEct" package for sensitivity analyses compatible with imputation estimators. "HonestDiDFEct" is not on CRAN but can be obtained from <https://github.com/lzy318/HonestDiDFEct>.
Author: Licheng Liu [aut], Ziyi Liu [aut], Ye Wang [aut], Yiqing Xu [aut, cre], Tianzhu Qin [aut], Shiyun Hu [aut], Rivka Lipkovitz [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package bittermelon updated to version 2.3.1 with previous version 2.2.1 dated 2026-01-29

Title: Bitmap Tools
Description: Provides functions for creating, modifying, and displaying bitmaps including printing them in the terminal. There is a special emphasis on monochrome bitmap fonts and their glyphs as well as colored pixel art/sprites. Provides native read/write support for the 'hex' and 'yaff' bitmap font formats and if 'monobit' <https://github.com/robhagemans/monobit> is installed can also read/write several additional bitmap font formats.
Author: Trevor L. Davis [aut, cre] , Frederic Cambus [tyg] , Markus Kuhn [tyg] , josehzz [art]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

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Package PNAR updated to version 1.8 with previous version 1.7 dated 2024-09-05

Title: Poisson Network Autoregressive Models
Description: Quasi likelihood-based methods for estimating linear and log-linear Poisson Network Autoregression models with p lags and covariates. Tools for testing the linearity versus several non-linear alternatives. Tools for simulation of multivariate count distributions, from linear and non-linear PNAR models, by using a specific copula construction. References include: Armillotta, M. and K. Fokianos (2023). "Nonlinear network autoregression". Annals of Statistics, 51(6): 2526--2552. <doi:10.1214/23-AOS2345>. Armillotta, M. and K. Fokianos (2024). "Count network autoregression". Journal of Time Series Analysis, 45(4): 584--612. <doi:10.1111/jtsa.12728>. Armillotta, M., Tsagris, M. and Fokianos, K. (2023). "Inference for Network Count Time Series with the R Package PNAR". The R Journal, 15/4: 255--269. <doi:10.32614/RJ-2023-094>.
Author: Michail Tsagris [aut, cre], Mirko Armillotta [aut, cph], Konstantinos Fokianos [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package MLE updated to version 1.7 with previous version 1.6 dated 2025-10-20

Title: Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions
Description: Several functions for maximum likelihood estimation of various univariate and multivariate distributions. The list includes more than 100 functions for univariate continuous and discrete distributions, distributions that lie on the real line, the positive line, interval restricted, circular distributions. Further, multivariate continuous and discrete distributions, distributions for compositional and directional data, etc. Some references include Johnson N. L., Kotz S. and Balakrishnan N. (1994). "Continuous Univariate Distributions, Volume 1" <ISBN:978-0-471-58495-7>, Johnson, Norman L. Kemp, Adrianne W. Kotz, Samuel (2005). "Univariate Discrete Distributions". <ISBN:978-0-471-71580-1> and Mardia, K. V. and Jupp, P. E. (2000). "Directional Statistics". <ISBN:978-0-471-95333-3>.
Author: Michail Tsagris [aut, cre], Sofia Piperaki [aut], Muhammad Imran [ctb], Rafail Vargiakakis [aut], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package hsrecombi updated to version 1.1.0 with previous version 1.0.1 dated 2023-06-07

Title: Estimation of Recombination Rate and Maternal LD in Half-Sibs
Description: Paternal recombination rate and maternal linkage disequilibrium (LD) are estimated for pairs of biallelic markers such as single nucleotide polymorphisms (SNPs) from progeny genotypes and sire haplotypes. The implementation relies on paternal half-sib families. If maternal half-sib families are used, the roles of sire/dam are swapped. Multiple families can be considered. For parameter estimation, at least one sire has to be double heterozygous at the investigated pairs of SNPs. Based on recombination rates, genetic distances between markers can be estimated. Markers with unusually large recombination rate to markers in close proximity (i.e. putatively misplaced markers) shall be discarded in this derivation. A workflow description is attached as vignette. *A pipeline is available at GitHub* <https://github.com/wittenburg/hsrecombi> Hampel, Teuscher, Gomez-Raya, Doschoris, Wittenburg (2018) "Estimation of recombination rate and maternal linkage disequilibrium in half-sibs" <doi [...truncated...]
Author: Doerte Wittenburg [aut, cre]
Maintainer: Doerte Wittenburg <wittenburg@fbn-dummerstorf.de>

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Package ggdiceplot updated to version 1.2.0 with previous version 1.1.0 dated 2026-03-23

Title: DicePlot Visualization for 'ggplot2'
Description: Provides 'ggplot2' extensions for creating dice-based visualizations where each dot position represents a specific categorical variable. The package includes 'geom_dice()' for displaying presence/absence of categorical variables using traditional dice patterns. Each dice position (1-6) represents a different category, with dots shown only when that category is present. This allows intuitive visualization of up to 6 categorical variables simultaneously.
Author: Matthias Flotho [aut, cre]
Maintainer: Matthias Flotho <matthias.flotho@ccb.uni-saarland.de>

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Package APCalign updated to version 2.0.0 with previous version 1.1.3 dated 2025-02-11

Title: Resolving Plant Taxon Names Using the Australian Plant Census
Description: The process of resolving and updating taxon names is necessary when working with biodiversity data. 'APCalign' uses the Australian Plant Census (APC) and the Australian Plant Name Index (APNI) to align and update plant taxon names to current, accepted standards. 'APCalign' also supplies information about the establishment status (i.e. native or introduced) of plant taxa across different states/territories.
Author: Elizabeth Wenk [aut, cre, cph] , Daniel Falster [aut, ctb] , Will Cornwell [aut, ctb] , Fonti Kar [aut, ctb] , Carl Boettiger [ctb]
Maintainer: Elizabeth Wenk <e.wenk@unsw.edu.au>

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Package shinyEditor updated to version 1.0.0 with previous version 0.1.0 dated 2026-02-08

Title: 'Ace' and 'Monaco' Editors Bindings for 'shiny' Application
Description: 'Ace' and 'Monaco' editor bindings to enable a rich text widget within 'shiny' application and provide more features, e.g. text comparison, spell checking and an extra 'SAS' code highlight mode.
Author: zearoby [aut, cre]
Maintainer: zearoby <949386232@qq.com>

Diff between shinyEditor versions 0.1.0 dated 2026-02-08 and 1.0.0 dated 2026-03-27

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Package plinkQC updated to version 1.1.0 with previous version 1.0.1 dated 2026-02-09

Title: Genotype Quality Control with 'PLINK'
Description: Genotyping arrays enable the direct measurement of an individuals genotype at thousands of markers. 'plinkQC' facilitates genotype quality control for genetic association studies as described by Anderson and colleagues (2010) <doi:10.1038/nprot.2010.116>. It makes 'PLINK' basic statistics (e.g. missing genotyping rates per individual, allele frequencies per genetic marker) and relationship functions accessible from 'R' and generates a per-individual and per-marker quality control report. Individuals and markers that fail the quality control can subsequently be removed to generate a new, clean dataset. Removal of individuals based on relationship status is optimised to retain as many individuals as possible in the study. Additionally, there is a trained classifier to predict genomic ancestry of human samples.
Author: Hannah Meyer [aut, cre] , Caroline Walter [ctb], Maha Syed [ctb]
Maintainer: Hannah Meyer <hannah.v.meyer@gmail.com>

Diff between plinkQC versions 1.0.1 dated 2026-02-09 and 1.1.0 dated 2026-03-27

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Package gomp updated to version 1.1 with previous version 1.0 dated 2025-01-20

Title: The gamma-OMP Feature Selection Algorithm
Description: The gamma-Orthogonal Matching Pursuit (gamma-OMP) is a recently suggested modification of the OMP feature selection algorithm for a wide range of response variables. The package offers many alternative regression models, such linear, robust, survival, multivariate etc., including k-fold cross-validation. References: Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2018). "Efficient feature selection on gene expression data: Which algorithm to use?" BioRxiv. <doi:10.1101/431734>. Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2022). "The gamma-OMP algorithm for feature selection with application to gene expression data". IEEE/ACM Transactions on Computational Biology and Bioinformatics 19(2): 1214--1224. <doi:10.1109/TCBB.2020.3029952>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between gomp versions 1.0 dated 2025-01-20 and 1.1 dated 2026-03-27

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Package geosimilarity updated to version 3.9 with previous version 3.8 dated 2025-09-22

Title: Geographically Optimal Similarity
Description: Understanding spatial association is essential for spatial statistical inference, including factor exploration and spatial prediction. Geographically optimal similarity (GOS) model is an effective method for spatial prediction, as described in Yongze Song (2022) <doi:10.1007/s11004-022-10036-8>. GOS was developed based on the geographical similarity principle, as described in Axing Zhu (2018) <doi:10.1080/19475683.2018.1534890>. GOS has advantages in more accurate spatial prediction using fewer samples and critically reduced prediction uncertainty.
Author: Yongze Song [aut, cph] , Wenbo Lyu [aut, cre]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>

Diff between geosimilarity versions 3.8 dated 2025-09-22 and 3.9 dated 2026-03-27

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Package dCovTS updated to version 1.5 with previous version 1.4 dated 2023-09-28

Title: Distance Covariance and Correlation for Time Series Analysis
Description: Computing and plotting the distance covariance and correlation function of a univariate or a multivariate time series. Both versions of biased and unbiased estimators of distance covariance and correlation are provided. Test statistics for testing pairwise independence are also implemented. Some data sets are also included. References include: a) Edelmann Dominic, Fokianos Konstantinos and Pitsillou Maria (2019). 'An Updated Literature Review of Distance Correlation and Its Applications to Time Series'. International Statistical Review, 87(2): 237--262. <doi:10.1111/insr.12294>. b) Fokianos Konstantinos and Pitsillou Maria (2018). 'Testing independence for multivariate time series via the auto-distance correlation matrix'. Biometrika, 105(2): 337--352. <doi:10.1093/biomet/asx082>. c) Fokianos Konstantinos and Pitsillou Maria (2017). 'Consistent testing for pairwise dependence in time series'. Technometrics, 59(2): 262--270. <doi:10.1080/00401706.2016.1156024>. d) Pits [...truncated...]
Author: Michail Tsagris [aut, cre], Maria Pitsillou [aut, cph], Konstantinos Fokianos [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between dCovTS versions 1.4 dated 2023-09-28 and 1.5 dated 2026-03-27

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Package MIMSunit (with last version 0.11.2) was removed from CRAN

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

2022-06-21 0.11.2

Permanent link
Package suddengains (with last version 0.7.2) was removed from CRAN

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

2023-02-28 0.7.2

Permanent link
Package readit (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:

2018-03-13 1.0.0

Permanent link
Package params (with last version 0.7.7) was removed from CRAN

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

2025-02-06 0.7.7

Permanent link
Package LLMing updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-22

Title: Large Language Model (LLM) Tools for Psychological Text Analysis
Description: A collection of large language model (LLM) text analysis methods designed with psychological data in mind. Currently, LLMing (aka "lemming") includes a text anomaly detection method based on the angle-based subspace approach described by Zhang, Lin, and Karim (2015) and a text generation method. <doi:10.1016/j.ress.2015.05.025>.
Author: Lindley Slipetz [aut, cre], Teague Henry [aut], Siqi Sun [ctb]
Maintainer: Lindley Slipetz <ddj6tu@virginia.edu>

Diff between LLMing versions 1.2.0 dated 2026-03-22 and 1.2.1 dated 2026-03-27

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New package unitrootests with initial version 1.0.0
Package: unitrootests
Title: Comprehensive Unit Root and Stationarity Tests
Version: 1.0.0
Description: A unified framework for unit root and stationarity testing including quantile ADF tests (Koenker and Xiao, 2004) <doi:10.1198/016214504000001114>, GARCH-based unit root tests with endogenous structural breaks (Narayan and Liu, 2015) <doi:10.1016/j.eneco.2014.11.021>, and comprehensive Dickey-Fuller, Phillips-Perron, KPSS, ERS/DF-GLS, Zivot-Andrews, and Kobayashi-McAleer tests with an Elder-Kennedy decision strategy (Elder and Kennedy, 2001) <doi:10.1080/00220480109595179>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, quantreg, tseries, urca, strucchange
Suggests: testthat (>= 3.0.0), zoo
NeedsCompilation: no
Packaged: 2026-03-24 11:13:25 UTC; acad_
Author: Muhammad Abdullah Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-27 11:10:03 UTC

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New package cointests with initial version 1.0.0
Package: cointests
Title: Comprehensive Cointegration Tests with Fourier and Panel Methods
Version: 1.0.0
Description: A unified toolkit for cointegration testing including Fourier-based cointegration tests (FADL, FEG, FEG2, Tsong) that accommodate smooth structural breaks via flexible Fourier terms, and panel CADF cointegration tests with structural breaks using the Common Correlated Effects (CCE) estimator following Banerjee, Arcabic and Lee (2017) <doi:10.1016/j.econmod.2017.03.004>, Tsong, Lee, Tsai and Hu (2016) <doi:10.1007/s00181-015-1028-6>, and Banerjee and Carrion-i-Silvestre (2025) <doi:10.1080/07350015.2024.2327844>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-24 11:13:25 UTC; acad_
Author: Muhammad Abdullah Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-27 11:10:08 UTC

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New package TruncatedPCQM with initial version 0.1.2
Package: TruncatedPCQM
Title: Density Estimation for Point-Centered Quarter Method with Truncated Sampling
Version: 0.1.2
Maintainer: Wenzhe Huang <51280155097@stu.ecnu.edu.cn>
Description: Implements a systematic methodology for estimating population density from point-centered quarter method (PCQM) surveys when distance measurements are truncated by a maximum search radius (right-censored). The package provides a unified framework for analyzing such incomplete data, addressing both completely randomly distributed (Poisson) and spatially aggregated (Negative Binomial) populations. Key features include: (1) Adjusted moment-based density estimators for censored distances; (2) Maximum likelihood estimation (MLE) of density under the Poisson (CSR) model; and (3) Simultaneous MLE of density and an aggregation parameter under the Negative Binomial model. For more details, see Huang, Shen, Xing, and Zhao (2026) <doi:10.48550/arXiv.2603.08276>.
License: GPL (>= 3)
Encoding: UTF-8
Language: en
Depends: R (>= 3.5.0)
Imports:
Suggests: testthat (>= 3.0.0), dplyr (>= 1.1.0)
URL: https://github.com/rcjhrpyt-droid/TruncatedPCQM
BugReports: https://github.com/rcjhrpyt-droid/TruncatedPCQM/issues
NeedsCompilation: no
Packaged: 2026-03-24 05:50:34 UTC; Lenovo
Author: Wenzhe Huang [aut, cre], Guochun Shen [aut], Dingliang Xing [aut], Jiangyan Zhao [aut]
Repository: CRAN
Date/Publication: 2026-03-27 10:30:02 UTC

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New package rbreak with initial version 1.0.7
Package: rbreak
Title: Restricted Structural Change Models
Version: 1.0.7
Maintainer: Zhongjun Qu <qu@bu.edu>
Description: Methods for detecting structural breaks and estimating break locations for linear multiple regression models under general linear restrictions on the coefficient vector. Restrictions can be within regimes, across regimes, or both, and are supported in two forms: an affine parameterization (Form A: delta = S*theta + s) and explicit linear constraints (Form B: R*delta = r). Provides break date estimation with confidence intervals, a restricted sup-F test for the null of no structural change, simulation of critical values by Monte Carlo, and a bootstrap restart procedure to reduce the risk of convergence to spurious local optima. Also implements a generalized regression tree (linear model tree) procedure where each leaf contains a linear regression model rather than a local average. Reference: Perron, P., and Qu, Z. (2006). 'Estimating Restricted Structural Change Models.' Journal of Econometrics, 134(2), 373-399. <doi:10.1016/j.jeconom.2005.06.030>.
License: GPL (>= 3)
Depends: R (>= 4.3.0)
Suggests: knitr, parallel, pbapply, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Imports: MASS, stats
LazyData: true
Packaged: 2026-03-23 21:28:45 UTC; qu
Author: Zhongjun Qu [aut, cre], Cheolju Kim [aut]
Repository: CRAN
Date/Publication: 2026-03-27 10:20:03 UTC

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Package plotrr readmission to version 1.0.2 with previous version 1.0.0 dated 2017-12-04

Title: Making Visual Exploratory Data Analysis with Nested Data Easier
Description: Provides tools for visual exploratory data analysis with nested data. Includes functions for creating bivariate plots, dot plots, histograms, and violin plots for each group or unit in nested data. Methods are described in Crabtree and Nelson (2017) "Plotrr: Functions for making visual exploratory data analysis with nested data easier" <doi:10.21105/joss.00190>.
Author: Charles Crabtree [aut, cre], Michael J. Nelson [aut]
Maintainer: Charles Crabtree <charles.crabtree@monash.edu>

This is a re-admission after prior archival of version 1.0.0 dated 2017-12-04

Diff between plotrr versions 1.0.0 dated 2017-12-04 and 1.0.2 dated 2026-03-27

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New package mlmoderator with initial version 0.2.0
Package: mlmoderator
Title: Probing, Plotting, and Interpreting Multilevel Interaction Effects
Version: 0.2.0
Description: Provides a unified workflow for probing, plotting, and assessing the robustness of cross-level interaction effects in two-level mixed-effects models fitted with 'lme4' (Bates et al., 2015) <doi:10.18637/jss.v067.i01>. Implements simple slopes analysis following Aiken and West (1991, ISBN:9780761907121), Johnson-Neyman intervals following Johnson and Fay (1950) <doi:10.1007/BF02288864> and Bauer and Curran (2005) <doi:10.1207/s15327906mbr4003_5>, and grand- or group-mean centering as described in Enders and Tofighi (2007) <doi:10.1037/1082-989X.12.2.121>. Includes a slope variance decomposition that separates fixed-effect uncertainty from random-slope variance (tau11), a contour surface plot of predicted outcomes over the full predictor-by-moderator space, and robustness diagnostics comprising intraclass correlation coefficient shift analysis and leave-one-cluster-out (LOCO) stability checks. Designed for researchers in education, psychology, biostatistics, epide [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: lme4, ggplot2, stats, utils, grDevices, rlang
Suggests: testthat (>= 3.0.0), dplyr, tibble, knitr, rmarkdown, patchwork
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/mlmoderator
BugReports: https://github.com/causalfragility-lab/mlmoderator/issues
NeedsCompilation: no
Packaged: 2026-03-24 12:39:06 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-03-27 11:00:09 UTC

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New package MappingCalc with initial version 2.0.0
Package: MappingCalc
Title: Mapping Calculator for EQ-5D Utility Scores
Version: 2.0.0
Description: Provides a 'shiny' web application to map scores from clinical instruments (PANSS, SQLS, WHODAS 2.0, PHQ-8, EQ-5D-5L) to preference-based EQ-5D-5L health utility values using validated regression-based and beta-mixture mapping algorithms developed from Singapore population studies. Intended for use in health economic evaluations and cost-utility analyses. Methods are based on: Abdin et al. (2019) <doi:10.1007/s11136-018-2037-7>, Seow et al. (2023) <doi:10.1080/14737167.2023.2215430>, Abdin et al. (2021) <doi:10.1186/s12888-021-03463-0>, Abdin et al. (2024) <doi:10.1080/14737167.2024.2376100>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: shiny (>= 1.7.0), bslib, ggplot2, readxl, haven, writexl, tibble
Suggests: DT, testthat (>= 3.0.0), spelling
Language: en-GB
NeedsCompilation: no
Packaged: 2026-03-24 01:01:22 UTC; Edi
Author: Edimansyah Abdin [aut, cre]
Maintainer: Edimansyah Abdin <edimansyah.bin.abdin@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-27 10:20:12 UTC

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New package lisat with initial version 0.1.2
Package: lisat
Title: Longitudinal Integration Site Analysis Toolkit
Version: 0.1.2
Description: A comprehensive toolkit for the analysis of longitudinal integration site data, including data cleaning, quality control, statistical modeling, and visualization. It streamlines the entire workflow of integration site analysis, supports simple input formats, and provides user-friendly functions for researchers in virus integration site analysis. Ni et al. (2025) <doi:10.64898/2025.12.20.695672>.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 3.5)
Imports: GenomicRanges (>= 1.50.0), IRanges (>= 2.32.0), tidyr (>= 1.3.0), dplyr (>= 1.1.4), AnnotationDbi (>= 1.50.0), S4Vectors (>= 0.32.0), GenomicFeatures (>= 1.50.0), magrittr, ggplot2, purrr, broom
Suggests: TxDb.Hsapiens.UCSC.hg38.knownGene, org.Hs.eg.db, knitr, rmarkdown, grid, gt (>= 0.9.0), gtable (>= 0.3.6), this.path (>= 2.0.0), plotrix (>= 3.8-2), scales (>= 1.2.0), writexl (>= 1.4.0), ggrepel (>= 0.9.4), ggpubr (>= 0.6.0), viridisLite (>= 0.4.2), RIdeogram (>= 0.2.2), patchwork (>= 1.1.3), RColorBrewer (>= 1.1-3), colorspace, treemapify, igraph, visNetwork, Cairo (>= 1.6-1), testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-24 09:27:27 UTC; nishuai
Author: Shuai Ni [aut, cre]
Maintainer: Shuai Ni <Nishuai@wakerbio.com>
Repository: CRAN
Date/Publication: 2026-03-27 10:40:03 UTC

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Package condvis readmission to version 0.5-2 with previous version 0.5-1 dated 2018-09-13

Title: Conditional Visualization for Statistical Models
Description: Exploring fitted models by interactively taking 2-D and 3-D sections in data space.
Author: Mark O'Connell [aut, cre], Catherine Hurley [aut], Katarina Domijan [aut], Achim Zeileis [ctb] , R Core Team [ctb]
Maintainer: Mark O'Connell <mark_ajoc@yahoo.ie>

This is a re-admission after prior archival of version 0.5-1 dated 2018-09-13

Diff between condvis versions 0.5-1 dated 2018-09-13 and 0.5-2 dated 2026-03-27

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Package avesperu updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-23

Title: Access to the List of Bird Species of Peru
Description: Provides access to the species checklist published in 'List of the Birds of Peru' by Plenge, M. A. and Angulo, F. (version 23-03-2026) <https://sites.google.com/site/boletinunop/checklist>. The package exposes the current Peru bird checklist as an R dataset and includes tools for species lookup, taxonomic reconciliation, and fuzzy matching of scientific names. These features help streamline taxonomic validation for researchers and conservationists.
Author: Paul E. Santos Andrade [aut, cre, cph]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>

Diff between avesperu versions 0.1.0 dated 2026-03-23 and 0.1.1 dated 2026-03-27

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Package rpart updated to version 4.1.27 with previous version 4.1.24 dated 2025-01-07

Title: Recursive Partitioning and Regression Trees
Description: Recursive partitioning for classification, regression and survival trees. An implementation of most of the functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.
Author: Terry Therneau [aut], Beth Atkinson [aut, cre], Brian Ripley [trl]
Maintainer: Beth Atkinson <atkinson@mayo.edu>

Diff between rpart versions 4.1.24 dated 2025-01-07 and 4.1.27 dated 2026-03-27

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Package NonCompart updated to version 0.7.2 with previous version 0.7.1 dated 2026-03-09

Title: Noncompartmental Analysis for Pharmacokinetic Data
Description: Conduct a noncompartmental analysis with industrial strength. Some features are 1) Use of 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 * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package lamW updated to version 2.2.7 with previous version 2.2.6 dated 2026-01-08

Title: Lambert-W Function
Description: Implements both real-valued branches of the Lambert-W function (Corless et al, 1996) <doi:10.1007/BF02124750> without the need for installing the entire GSL.
Author: Avraham Adler [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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Package CalibrationCurves updated to version 3.1.0 with previous version 3.0.0 dated 2025-12-09

Title: Calibration Performance
Description: Plots calibration curves and computes statistics for assessing calibration performance. See Lasai et al. (2025) <doi:10.48550/arXiv.2503.08389>, De Cock Campo (2023) <doi:10.48550/arXiv.2309.08559> and Van Calster et al. (2016) <doi:10.1016/j.jclinepi.2015.12.005>.
Author: Bavo De Cock [aut, cre], Lasai Barrenada [aut], Daan Nieboer [aut], Ben Van Calster [aut], Ewout Steyerberg [aut], Yvonne Vergouwe [aut]
Maintainer: Bavo De Cock <bavo.decock@kuleuven.be>

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Package admisc updated to version 0.40 with previous version 0.39 dated 2025-11-02

Title: Adrian Dusa's Miscellaneous
Description: Contains functions used across packages 'DDIwR', 'QCA' and 'venn'. Interprets and translates, factorizes and negates SOP - Sum of Products expressions, for both binary and multi-value crisp sets, and extracts information (set names, set values) from those expressions. Other functions perform various other checks if possibly numeric (even if all numbers reside in a character vector) and coerce to numeric, or check if the numbers are whole. It also offers, among many others, a highly versatile recoding routine and some more flexible alternatives to the base functions 'with()' and 'within()'. SOP simplification functions in this package use related minimization from package 'QCA', which is recommended to be installed despite not being listed in the Imports field, due to circular dependency issues.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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Thu, 26 Mar 2026

Package OmopConstructor updated to version 0.3.0 with previous version 0.2.0 dated 2026-02-09

Title: Build Tables in the OMOP Common Data Model
Description: Provides functionality to construct standardised tables from health care data formatted according to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. The package includes tools to build key tables such as observation period and drug era, among others.
Author: Marti Catala [aut, cre] , Elin Rowlands [ctb] , Cecilia Campanile [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package ncar updated to version 0.5.1 with previous version 0.5.0 dated 2023-11-19

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. * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package cpam updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-03

Title: Changepoint Additive Models for Time Series Omics Data
Description: Provides a comprehensive framework for time series omics analysis, integrating changepoint detection, smooth and shape-constrained trends, and uncertainty quantification. It supports gene- and transcript-level inferences, p-value aggregation for improved power, and both case-only and case-control designs. It includes an interactive 'shiny' interface. The methods are described in Yates et al. (2024) <doi:10.1101/2024.12.22.630003>.
Author: Luke Yates [aut, cre, cph] , Michael Charleston [aut], Jazmine Humphreys [aut], Steven Smith [aut]
Maintainer: Luke Yates <luke.yates@utas.edu.au>

Diff between cpam versions 0.2.0 dated 2026-03-03 and 0.2.1 dated 2026-03-26

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Package multiScaleR updated to version 0.5.0 with previous version 0.4.5 dated 2025-09-02

Title: Methods for Optimizing Scales of Effect
Description: A tool for optimizing scales of effect when modeling ecological processes in space. Specifically, the scale parameter of a distance-weighted kernel distribution is identified for all environmental layers included in the model. Includes functions to assist in model selection, model evaluation, efficient transformation of raster surfaces using fast Fourier transformation, and projecting models. For more details see Peterman (2026) <doi:10.1007/s10980-025-02267-x>.
Author: Bill Peterman [aut, cre]
Maintainer: Bill Peterman <Peterman.73@osu.edu>

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Package mvhtests updated to version 1.2 with previous version 1.1 dated 2025-01-09

Title: Multivariate Hypothesis Tests
Description: Hypothesis tests for multivariate data. Tests for one and two mean vectors, multivariate analysis of variance, tests for one, two or more covariance matrices. References include: Mardia K.V., Kent J.T. and Bibby J.M. (1979). Multivariate Analysis. ISBN: 978-0124712522. London: Academic Press.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package MetaRVM updated to version 2.1.0 with previous version 2.0.0 dated 2026-03-19

Title: Meta-Population Compartmental Model for Respiratory Virus Diseases
Description: Simulates respiratory virus epidemics using meta-population compartmental models following Fadikar et. al. (2025) <doi:10.1109/WSC68292.2025.11338996>. 'MetaRVM' implements a stochastic SEIRD (Susceptible-Exposed-Infected-Recovered-Dead) framework with demographic stratification by user provided attributes. It supports complex epidemiological scenarios including asymptomatic and presymptomatic transmission, hospitalization dynamics, vaccination schedules, and time-varying contact patterns via mixing matrices.
Author: Arindam Fadikar [aut, cre, cph] , Charles Macal [ctb], Martinez Moyano Ignacio Javier [ctb], Ozik Jonathan [ctb]
Maintainer: Arindam Fadikar <afadikar@anl.gov>

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Package HQM updated to version 2.1 with previous version 2.0 dated 2026-01-07

Title: Superefficient Estimation of Future Conditional Hazards Based on Marker Information
Description: Provides univariate and indexed (multivariate) nonparametric smoothed kernel estimators for the future conditional hazard rate function when time-dependent covariates are present, a bandwidth selector for the estimator's implementation and pointwise and uniform confidence bands. Methods used in the package refer to Bagkavos, Isakson, Mammen, Nielsen and Proust-Lima (2025) <doi:10.1093/biomet/asaf008>.
Author: Dimitrios Bagkavos [aut, cre], Alex Isakson [ctb], Enno Mammen [ctb], Jens Nielsen [ctb], Cecile Proust-Lima [ctb]
Maintainer: Dimitrios Bagkavos <dimitrios.bagkavos@gmail.com>

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Package estats updated to version 1.1 with previous version 1.0 dated 2025-11-04

Title: Fast and Light-Weight Energy Statistics
Description: Fast and memory-less computation of the energy statistics related quantities for vectors and matrices. References include: Szekely G. J. and Rizzo M. L. (2014), <doi:10.1214/14-AOS1255>. Szekely G. J. and Rizzo M. L. (2023), <ISBN:9781482242744>. Tsagris M. and Papadakis M. (2025). <doi:10.48550/arXiv.2501.02849>.
Author: Michail Tsagris [aut, cre], Manos Papadakis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package dowser updated to version 2.4.1 with previous version 2.4.0 dated 2025-10-14

Title: B Cell Receptor Phylogenetics Toolkit
Description: Provides a set of functions for inferring, visualizing, and analyzing B cell phylogenetic trees. Provides methods to 1) reconstruct unmutated ancestral sequences, 2) build B cell phylogenetic trees using multiple methods, 3) visualize trees with metadata at the tips, 4) reconstruct intermediate sequences, 5) detect biased ancestor-descendant relationships among metadata types Workflow examples available at documentation site (see URL). Citations: Hoehn et al (2022) <doi:10.1371/journal.pcbi.1009885>, Hoehn et al (2021) <doi:10.1101/2021.01.06.425648>.
Author: Kenneth Hoehn [aut, cre], Cole Jensen [aut], Jessie Fielding [aut], Hunter Melton [aut], Susanna Marquez [ctb], Jason Vander Heiden [ctb], Steven Kleinstein [aut, cph]
Maintainer: Kenneth Hoehn <kenneth.b.hoehn@dartmouth.edu>

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Package omophub updated to version 1.5.0 with previous version 1.4.0 dated 2026-02-23

Title: R Client for the 'OMOPHub' Medical Vocabulary API
Description: Provides an R interface to the 'OMOPHub' API for accessing 'OHDSI ATHENA' standardized medical vocabularies. Supports concept search, semantic search using neural embeddings, concept similarity, vocabulary exploration, hierarchy navigation, relationship queries, and concept mappings with automatic pagination and rate limiting.
Author: Alex Chen [aut, cre, cph], Observational Health Data Science and Informatics [cph]
Maintainer: Alex Chen <alex@omophub.com>

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Package vbracket updated to version 1.4.0 with previous version 1.3.2 dated 2026-03-24

Title: Custom Legends with Statistical Comparison Brackets
Description: Add publication-quality custom legends with vertical brackets. Designed for displaying statistical comparisons between groups, commonly used in scientific publications for showing significance levels. Features include adaptive positioning, automatic bracket spacing for overlapping comparisons, font family inheritance, and support for asterisks, p-values, or custom labels. Compatible with 'ggplot2' graphics.
Author: Yoshiaki Sato [aut, cre]
Maintainer: Yoshiaki Sato <lascia333@gmail.com>

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Package terra updated to version 1.9-11 with previous version 1.9-1 dated 2026-03-08

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started.
Author: Robert J. Hijmans [cre, aut] , Andrew Brown [aut] , Marcia Barbosa [aut] , Roger Bivand [ctb] , Michael Chirico [ctb] , Emanuele Cordano [ctb] , Krzysztof Dyba [ctb] , Edzer Pebesma [ctb] , Barry Rowlingson [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package rmarkdown updated to version 2.31 with previous version 2.30 dated 2025-09-28

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Jonathan McPherson [aut], Javier Luraschi [aut], Kevin Ushey [aut], Aron Atkins [aut], Hadley Wickham [aut], Joe Cheng [aut], Winston Chang [aut], Richard Iannone [aut] , Andrew Dun [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package LABTNSCPSS updated to version 1.0.2 with previous version 1.0 dated 2026-02-20

Title: Calculation of Comorbidity and Frailty Scores
Description: Computes comorbidity indices and combined frailty scores for multiple ICD coding systems, including ICD-10-CA, ICD-10-CM, and ICD-11. The package provides tools to preprocess episode data, map diagnosis codes to chronic categories, propagate conditions across episodes, and generate comorbidity and frailty measures. The methods implemented are original to this package and were developed by the authors for research applications; a manuscript describing the methodology is currently in preparation.
Author: Azadeh Bayani [aut, cre] , Jean Noel Nikiema [ctb], Michele Bally [ctb]
Maintainer: Azadeh Bayani <azadeh.bayani@umontreal.ca>

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Package ISAR updated to version 1.0.3 with previous version 1.0.2 dated 2026-02-05

Title: Introduction to Sports Analytics using R (ISAR) Data
Description: We provide data sets used in the textbook "Introduction to Sports Analytics using R" by Elmore and Urbaczweski (2025).
Author: Ryan Elmore [cre, aut]
Maintainer: Ryan Elmore <Ryan.Elmore@du.edu>

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Package geocomplexity updated to version 0.3.0 with previous version 0.2.1 dated 2024-11-11

Title: Mitigating Spatial Bias Through Geographical Complexity
Description: The geographical complexity of individual variables can be characterized by the differences in local attribute variables, while the common geographical complexity of multiple variables can be represented by fluctuations in the similarity of vectors composed of multiple variables. In spatial regression tasks, the goodness of fit can be improved by incorporating a geographical complexity representation vector during modeling, using a geographical complexity-weighted spatial weight matrix, or employing local geographical complexity kernel density. Similarly, in spatial sampling tasks, samples can be selected more effectively by using a method that weights based on geographical complexity. By optimizing performance in spatial regression and spatial sampling tasks, the spatial bias of the model can be effectively reduced.
Author: Wenbo Lyu [aut, cre, cph] , Yongze Song [aut] , Zehua Zhang [aut]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>

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Package SelfControlledCaseSeries updated to version 6.1.4 with previous version 6.1.1 dated 2025-10-28

Title: Self-Controlled Case Series
Description: Execute the self-controlled case series (SCCS) design using observational data in the OMOP Common Data Model. Extracts all necessary data from the database and transforms it to the format required for SCCS. Age and season can be modeled using splines assuming constant hazard within calendar months. Event-dependent censoring of the observation period can be corrected for. Many exposures can be included at once (MSCCS), with regularization on all coefficients except for the exposure of interest. Includes diagnostics for all major assumptions of the SCCS.
Author: Martijn Schuemie [aut, cre], Patrick Ryan [aut], Trevor Shaddox [aut], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package pmml readmission to version 2.6.0 with previous version 2.5.2 dated 2022-03-04

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>

This is a re-admission after prior archival of version 2.5.2 dated 2022-03-04

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Package mastif updated to version 2.4 with previous version 2.3 dated 2024-03-28

Title: Mast Inference and Forecasting
Description: Analyzes production and dispersal of seeds dispersed from trees and recovered in seed traps. Motivated by long-term inventory plots where seed collections are used to infer seed production by each individual plant.
Author: James S. Clark [aut, cre]
Maintainer: James S. Clark <jimclark@duke.edu>

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Package manymome updated to version 0.3.4 with previous version 0.3.3 dated 2026-01-08

Title: Mediation, Moderation and Moderated-Mediation After Model Fitting
Description: Computes indirect effects, conditional effects, and conditional indirect effects in a structural equation model or path model after model fitting, with no need to define any user parameters or label any paths in the model syntax, using the approach presented in Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z>. Can also form bootstrap confidence intervals by doing bootstrapping only once and reusing the bootstrap estimates in all subsequent computations. Supports bootstrap confidence intervals for standardized (partially or completely) indirect effects, conditional effects, and conditional indirect effects as described in Cheung (2009) <doi:10.3758/BRM.41.2.425> and Cheung, Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Model fitting can be done by structural equation modeling using lavaan() or regression using lm().
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut] , Rong Wei Sun [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package lessR updated to version 4.5.3 with previous version 4.5.2 dated 2026-03-05

Title: Less Code with More Comprehensive Results
Description: Each function replaces multiple standard R functions. For example, two function calls, Read() and CountAll(), generate summary statistics for all variables in the data frame, plus histograms and bar charts. Other functions provide data aggregation via pivot tables; comprehensive regression, ANOVA, and t-test; visualizations including integrated Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve; reading multiple data formats with the same call; variable labels; time series with aggregation and forecasting; color themes; and Trellis (facet) graphics. Also includes a confirmatory factor analysis of multiple-indicator measurement models, pedagogical routines for data simulation (e.g., Central Limit Theorem), generation and rendering of regression instructions for interpretative output, and both interactive construction of visualizations and interactive visualizations with plotly.
Author: David W. Gerbing [aut, cre]
Maintainer: David W. Gerbing <gerbing@pdx.edu>

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Package emodnet.wfs readmission to version 2.1.2 with previous version 2.1.1 dated 2025-07-14

Title: Access 'EMODnet' Web Feature Service Data
Description: Access and interrogate 'EMODnet' (European Marine Observation and Data Network) Web Feature Service data <https://emodnet.ec.europa.eu/en/emodnet-web-service-documentation#data-download-services>. This includes listing existing data sources, and getting data from each of them.
Author: Joana Beja [aut, cre] , Anna Krystalli [aut] , Salvador Fernandez-Bejarano [aut] , Thomas J Webb [ctb], European Marine Observation Data Network Biology project European Commission's Directorate - General for Maritime Affairs and Fisheries [cph], V [...truncated...]
Maintainer: Joana Beja <joana.beja@vliz.be>

This is a re-admission after prior archival of version 2.1.1 dated 2025-07-14

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Package Cronbach updated to version 0.4 with previous version 0.3 dated 2025-07-21

Title: Cronbach's Alpha
Description: Cronbach's alpha and various formulas for confidence intervals. The relevant paper is Tsagris M., Frangos C.C. and Frangos C.C. (2013). "Confidence intervals for Cronbach's reliability coefficient". Recent Techniques in Educational Science, 14-16 May, Athens, Greece.
Author: Michail Tsagris [aut, cre], Constantinos Frangos [aut], Christos Frangos [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package clue updated to version 0.3-68 with previous version 0.3-67 dated 2026-02-18

Title: Cluster Ensembles
Description: CLUster Ensembles.
Author: Kurt Hornik [aut, cre] , Walter Boehm [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package tseries updated to version 0.10-61 with previous version 0.10-60 dated 2026-02-18

Title: Time Series Analysis and Computational Finance
Description: Time series analysis and computational finance.
Author: Adrian Trapletti [aut], Kurt Hornik [aut, cre] , Blake LeBaron [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package tau updated to version 0.0-28 with previous version 0.0-27 dated 2026-02-18

Title: Text Analysis Utilities
Description: Utilities for text analysis.
Author: Christian Buchta [aut], Kurt Hornik [aut, cre] , Ingo Feinerer [aut] , David Meyer [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package sqlhelper updated to version 0.2.2 with previous version 0.2.1 dated 2024-01-21

Title: Easier 'SQL' Integration
Description: Execute files of 'SQL' and manage database connections. 'SQL' statements and queries may be interpolated with string literals. Execution of individual statements and queries may be controlled with keywords. Multiple connections may be defined with 'YAML' and accessed by name.
Author: Matthew Roberts [aut, cre, cph]
Maintainer: Matthew Roberts <matthew@zsmr.uk>

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Package spanner updated to version 1.0.3 with previous version 1.0.2 dated 2026-02-03

Title: Utilities to Support Lidar Applications at the Landscape, Forest, and Tree Scale
Description: Implements algorithms for terrestrial, mobile, and airborne lidar processing, tree detection, segmentation, and attribute estimation (Donager et al., 2021) <doi:10.3390/rs13122297>, and a hierarchical patch delineation algorithm 'PatchMorph' (Girvetz & Greco, 2007) <doi:10.1007/s10980-007-9104-8>. Tree detection uses rasterized point cloud metrics (relative neighborhood density and verticality) combined with RANSAC cylinder fitting to locate tree boles and estimate diameter at breast height. Tree segmentation applies graph-theory approaches inspired by Tao et al. (2015) <doi:10.1016/j.isprsjprs.2015.08.007> with cylinder fitting methods from de Conto et al. (2017) <doi:10.1016/j.compag.2017.07.019>. PatchMorph delineates habitat patches across spatial scales using organism-specific thresholds. Built on 'lidR' (Roussel et al., 2020) <doi:10.1016/j.rse.2020.112061>.
Author: Andrew Sanchez Meador [aut, cre, ctb] , Jonathon Donager [aut, ctb] , Blackburn Ryan [aut, ctb] , Cannon Jeffery [ctb] , Tiago de Conto [ctb, cph] , Keith O'Hara [ctb, cph]
Maintainer: Andrew Sanchez Meador <Andrew.SanchezMeador@nau.edu>

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Package skmeans updated to version 0.2-20 with previous version 0.2-19 dated 2026-02-04

Title: Spherical k-Means Clustering
Description: Algorithms to compute spherical k-means partitions. Features several methods, including a genetic and a fixed-point algorithm and an interface to the CLUTO vcluster program.
Author: Kurt Hornik [aut, cre] , Ingo Feinerer [aut] , Martin Kober [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package RWeka updated to version 0.4-48 with previous version 0.4-47 dated 2026-02-18

Title: R/Weka Interface
Description: An R interface to Weka (Version 3.9.3). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package 'RWeka' contains the interface code, the Weka jar is in a separate package 'RWekajars'. For more information on Weka see <https://www.cs.waikato.ac.nz/ml/weka/>.
Author: Kurt Hornik [aut, cre] , Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package relations updated to version 0.6-17 with previous version 0.6-16 dated 2026-02-18

Title: Data Structures and Algorithms for Relations
Description: Data structures and algorithms for k-ary relations with arbitrary domains, featuring relational algebra, predicate functions, and fitters for consensus relations.
Author: David Meyer [aut] , Kurt Hornik [aut, cre] , Christian Buchta [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package movMF updated to version 0.2-11 with previous version 0.2-10 dated 2026-02-18

Title: Mixtures of von Mises-Fisher Distributions
Description: Fit and simulate mixtures of von Mises-Fisher distributions.
Author: Kurt Hornik [aut, cre] , Bettina Gruen [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package mlbench updated to version 2.1-8 with previous version 2.1-7 dated 2026-02-18

Title: Machine Learning Benchmark Problems
Description: A collection of artificial and real-world machine learning benchmark problems, including, e.g., several data sets from the UCI repository.
Author: Friedrich Leisch [aut] , Evgenia Dimitriadou [aut], Kurt Hornik [cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package mapSpain updated to version 1.1.0 with previous version 1.0.0 dated 2026-01-17

Title: Administrative Boundaries of Spain
Description: Administrative Boundaries of Spain at several levels (Autonomous Communities, Provinces, Municipalities) based on the 'GISCO' 'Eurostat' database <https://ec.europa.eu/eurostat/web/gisco> and 'CartoBase SIANE' from 'Instituto Geografico Nacional' <https://www.ign.es/>. It also provides a 'leaflet' plugin and the ability of downloading and processing static tiles.
Author: Diego Hernangomez [aut, cre, cph] , Eurostat [cph] , Instituto Geografico Nacional [cph] , Francisco J. Goerlich [ctb]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package geppe updated to version 1.1 with previous version 1.0 dated 2024-06-24

Title: Generalised Exponential Poisson and Poisson Exponential Distributions
Description: Maximum likelihood estimation, random values generation, density computation and other functions for the exponential-Poisson generalised exponential-Poisson and Poisson-exponential distributions. References include: Rodrigues G. C., Louzada F. and Ramos P. L. (2018). "Poisson-exponential distribution: different methods of estimation". Journal of Applied Statistics, 45(1): 128--144. <doi:10.1080/02664763.2016.1268571>. Louzada F., Ramos, P. L. and Ferreira, H. P. (2020). "Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence". Communications in Statistics--Simulation and Computation, 49(4): 1024--1043. <doi:10.1080/03610918.2018.1491988>. Barreto-Souza W. and Cribari-Neto F. (2009). "A generalization of the exponential-Poisson distribution". Statistics and Probability Letters, 79(24): 2493--2500. <doi:10.1016/j.spl.2009.09.003>.
Author: Michail Tsagris [aut, cre], Sofia Piperaki [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package bivpois updated to version 1.2 with previous version 1.1 dated 2025-01-08

Title: Bivariate Poisson Distribution
Description: Maximum likelihood estimation, random values generation, density computation and other functions for the bivariate Poisson distribution. References include: Kawamura K. (1984). "Direct calculation of maximum likelihood estimator for the bivariate Poisson distribution". Kodai Mathematical Journal, 7(2): 211--221. <doi:10.2996/kmj/1138036908>. Kocherlakota S. and Kocherlakota K. (1992). "Bivariate discrete distributions". CRC Press. <doi:10.1201/9781315138480>. Karlis D. and Ntzoufras I. (2003). "Analysis of sports data by using bivariate Poisson models". Journal of the Royal Statistical Society: Series D (The Statistician), 52(3): 381--393. <doi:10.1111/1467-9884.00366>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package bioLeak updated to version 0.3.5 with previous version 0.3.0 dated 2026-03-05

Title: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data
Description: Prevents and detects information leakage in biomedical machine learning. Provides leakage-resistant split policies (subject-grouped, batch-blocked, study leave-out, time-ordered), guarded preprocessing (train-only imputation, normalization, filtering, feature selection), cross-validated fitting with common learners, permutation-gap auditing, batch and fold association tests, and duplicate detection.
Author: Selcuk Korkmaz [aut, cre]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package synthesisr updated to version 0.4.1 with previous version 0.3.0 dated 2020-06-03

Title: Import, Assemble, and Deduplicate Bibliographic Datasets
Description: A critical first step in systematic literature reviews and mining of academic texts is to identify relevant texts from a range of sources, particularly databases such as 'Web of Science' or 'Scopus'. These databases often export in different formats or with different metadata tags. 'synthesisr' expands on the tools outlined by Westgate (2019) <doi:10.1002/jrsm.1374> to import bibliographic data from a range of formats (such as 'bibtex', 'ris', or 'ciw') in a standard way, and allows merging and deduplication of the resulting dataset.
Author: Martin Westgate [aut, cre] , Eliza Grames [aut]
Maintainer: Martin Westgate <martinjwestgate@gmail.com>

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Package semboottools updated to version 0.1.2.1 with previous version 0.1.2 dated 2026-03-19

Title: Bootstrapping Helpers for Structural Equation Modelling
Description: A collection of helper functions for forming bootstrapping confidence intervals and examining bootstrap estimates in structural equation modelling, introduced in Yang and Cheung (2026) <doi: 10.3758/s13428-025-02911-z> The function currently support models fitted by the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>.
Author: Wendie Yang [aut, cre] , Shu Fai Cheung [aut]
Maintainer: Wendie Yang <1581075494q@gmail.com>

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Package rworkflows updated to version 1.0.11 with previous version 1.0.10 dated 2026-03-23

Title: Test, Document, Containerise, and Deploy R Packages
Description: Reproducibility is essential to the progress of research, yet achieving it remains elusive even in computational fields. Continuous Integration (CI) platforms offer a powerful way to launch automated workflows to check and document code, but often require considerable time, effort, and technical expertise to setup. We therefore developed the rworkflows suite to make robust CI workflows easy and freely accessible to all R package developers. rworkflows consists of 1) a CRAN/Bioconductor-compatible R package template, 2) an R package to quickly implement a standardised workflow, and 3) a centrally maintained GitHub Action.
Author: Brian Schilder [aut] , Alan Murphy [aut, ctb] , Hiranyamaya Dash [ctb, cre] , Nathan Skene [aut]
Maintainer: Hiranyamaya (Hiru) Dash <hdash.work@gmail.com>

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Package pdcor updated to version 1.3 with previous version 1.2 dated 2025-07-02

Title: Fast and Light-Weight Partial Distance Correlation
Description: Fast and memory-less computation of the partial distance correlation for vectors and matrices. Permutation-based and asymptotic hypothesis testing for zero partial distance correlation are also performed. References include: Szekely G. J. and Rizzo M. L. (2014). "Partial distance correlation with methods for dissimilarities". The Annals Statistics, 42(6): 2382--2412. <doi:10.1214/14-AOS1255>. Shen C., Panda S. and Vogelstein J. T. (2022). "The Chi-Square Test of Distance Correlation". Journal of Computational and Graphical Statistics, 31(1): 254--262. <doi:10.1080/10618600.2021.1938585>. Szekely G. J. and Rizzo M. L. (2023). "The Energy of Data and Distance Correlation". Chapman and Hall/CRC. <ISBN:9781482242744>. Kontemeniotis N., Vargiakakis R. and Tsagris M. (2025). On independence testing using the (partial) distance correlation. <doi:10.48550/arXiv.2506.15659>.
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package lookout updated to version 2.0.1 with previous version 2.0.0 dated 2026-01-19

Title: Leave One Out Kernel Density Estimates for Outlier Detection
Description: Outlier detection using leave-one-out kernel density estimates and extreme value theory. The bandwidth for kernel density estimates is computed using persistent homology, a technique in topological data analysis. Using peak-over-threshold method, a generalized Pareto distribution is fitted to the log of leave-one-out kde values to identify outliers.
Author: Sevvandi Kandanaarachchi [aut, cre] , Rob Hyndman [aut] , Chris Fraley [ctb]
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>

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Package isva updated to version 1.10 with previous version 1.9 dated 2017-01-13

Title: Independent Surrogate Variable Analysis
Description: Uses Independent Component Analysis to perform feature selection in the presence of unknown confounders.
Author: Andrew Teschendorff [aut, cre]
Maintainer: Andrew Teschendorff <andrew@sinh.ac.cn>

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Package grpreg updated to version 3.6.0 with previous version 3.5.0 dated 2024-09-03

Title: Regularization Paths for Regression Models with Grouped Covariates
Description: Efficient algorithms for fitting the regularization path of linear regression, GLM, and Cox regression models with grouped penalties. This includes group selection methods such as group lasso, group MCP, and group SCAD as well as bi-level selection methods such as the group exponential lasso, the composite MCP, and the group bridge. For more information, see Breheny and Huang (2009) <doi:10.4310/sii.2009.v2.n3.a10>, Huang, Breheny, and Ma (2012) <doi:10.1214/12-sts392>, Breheny and Huang (2015) <doi:10.1007/s11222-013-9424-2>, and Breheny (2015) <doi:10.1111/biom.12300>, or visit the package homepage <https://pbreheny.github.io/grpreg/>.
Author: Patrick Breheny [aut, cre] , Yaohui Zeng [ctb], Ryan Miller [aut] , Ryan Kurth [ctb]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

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Package gemtc updated to version 1.1-1 with previous version 1.1-0 dated 2025-07-08

Title: Network Meta-Analysis Using Bayesian Methods
Description: Network meta-analyses (mixed treatment comparisons) in the Bayesian framework using JAGS. Includes methods to assess heterogeneity and inconsistency, and a number of standard visualizations. van Valkenhoef et al. (2012) <doi:10.1002/jrsm.1054>; van Valkenhoef et al. (2015) <doi:10.1002/jrsm.1167>.
Author: Gert van Valkenhoef [aut, cre], Joel Kuiper [aut]
Maintainer: Gert van Valkenhoef <gert@gertvv.nl>

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Package fastkmedoids readmission to version 1.6 with previous version 1.5 dated 2026-03-11

Title: Faster K-Medoids Clustering Algorithms: FastPAM, FastCLARA, FastCLARANS
Description: R wrappers of C++ implementation of Faster K-Medoids clustering algorithms (FastPAM, FastCLARA and FastCLARANS) proposed in Erich Schubert, Peter J. Rousseeuw 2019 <doi:10.1007/978-3-030-32047-8_16>.
Author: Xun Li [aut, cre]
Maintainer: Xun Li <lixun910@gmail.com>

This is a re-admission after prior archival of version 1.5 dated 2026-03-11

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Package Epi updated to version 2.64 with previous version 2.63 dated 2026-03-20

Title: Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data. In particular representation, manipulation, rate estimation and simulation for multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data. Has functions for extracting and manipulating parameter estimates and predicted values (ci.lin and its cousins), as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

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Package bdsvd updated to version 1.2.1 with previous version 0.2.1 dated 2025-01-08

Title: Block Structure Detection Using Singular Vectors
Description: Provides methods to perform block diagonal covariance matrix detection using singular vectors ('BD-SVD'), which can be extended to inherently sparse principal component analysis ('IS-PCA'). The methods are described in Bauer (2025) <doi:10.1080/10618600.2024.2422985> and Bauer (2026) <doi:10.48550/arXiv.2510.03729>.
Author: Jan O. Bauer [aut, cre] , Ron Holzapfel [aut]
Maintainer: Jan O. Bauer <j.bauer@vu.nl>

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Package archivist updated to version 2.3.9 with previous version 2.3.8 dated 2024-08-28

Title: Tools for Storing, Restoring and Searching for R Objects
Description: Data exploration and modelling is a process in which a lot of data artifacts are produced. Artifacts like: subsets, data aggregates, plots, statistical models, different versions of data sets and different versions of results. The more projects we work with the more artifacts are produced and the harder it is to manage these artifacts. Archivist helps to store and manage artifacts created in R. Archivist allows you to store selected artifacts as a binary files together with their metadata and relations. Archivist allows to share artifacts with others, either through shared folder or github. Archivist allows to look for already created artifacts by using it's class, name, date of the creation or other properties. Makes it easy to restore such artifacts. Archivist allows to check if new artifact is the exact copy that was produced some time ago. That might be useful either for testing or caching.
Author: Przemyslaw Biecek [aut, cre], Marcin Kosinski [aut], Witold Chodor [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

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Package SEMID updated to version 0.5.1 with previous version 0.5.0 dated 2026-01-30

Title: Identifiability of Linear Structural Equation Models
Description: Provides routines to check identifiability of linear structural equation models and factor analysis models. The routines are based on the graphical representation of structural equation models.
Author: Rina Foygel Barber [aut], Mathias Drton [aut], Miriam Kranzlmueller [aut], Nils Sturma [cre, aut], Luca Weihs [aut]
Maintainer: Nils Sturma <nils.sturma@epfl.ch>

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Package a5R updated to version 0.3.1 with previous version 0.2.0 dated 2026-03-16

Title: 'A5' Discrete Global Grid System
Description: Bindings for the "A5 geospatial index" <https://a5geo.org/>. 'A5' partitions the Earth's surface into pentagonal cells across 31 resolution levels using an equal-area projection onto a dodecahedron. Provides functions for indexing coordinates to cells, traversing the cell hierarchy, computing cell boundaries, and compacting/uncompacting cell sets. Powered by the 'A5' 'Rust' crate via 'extendr'.
Author: Hugh Graham [aut, cre], belian.earth [cph]
Maintainer: Hugh Graham <hugh@belian.earth>

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Package nswgeo updated to version 0.6.0 with previous version 0.5.1 dated 2026-01-19

Title: Geospatial Data and Maps for New South Wales, Australia
Description: Geospatial data for creating maps of New South Wales (NSW), Australia, and some helpers to work with common problems like normalising postcodes. Registers its data with 'cartographer'.
Author: Carl Suster [aut, cre, cph] , Western Sydney Local Health District, NSW Health [cph]
Maintainer: Carl Suster <carl.suster@sydney.edu.au>

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Package GPUmatrix readmission to version 1.0.3 with previous version 1.0.2 dated 2024-03-01

Title: Basic Linear Algebra with GPU
Description: GPUs are great resources for data analysis, especially in statistics and linear algebra. Unfortunately, very few packages connect R to the GPU, and none of them are transparent enough to run the computations on the GPU without substantial changes to the code. The maintenance of these packages is cumbersome: several of the earlier attempts have been removed from their respective repositories. It would be desirable to have a properly maintained R package that takes advantage of the GPU with minimal changes to the existing code. We have developed the 'GPUmatrix' package (available on CRAN). 'GPUmatrix' mimics the behavior of the Matrix package and extends R to use the GPU for computations. It includes single(FP32) and double(FP64) precision data types, and provides support for sparse matrices. It is easy to learn, and requires very few code changes to perform the operations on the GPU. 'GPUmatrix' relies on either the 'Torch' or 'Tensorflow' R packages to perform the GPU operations. We ha [...truncated...]
Author: Cesar Lobato-Fernandez [aut, ctb], Juan A.Ferrer-Bonsoms [aut], Angel Rubio [aut, cre]
Maintainer: Angel Rubio <arubio@unav.es>

This is a re-admission after prior archival of version 1.0.2 dated 2024-03-01

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Package FCPS updated to version 1.3.6 with previous version 1.3.5 dated 2025-10-30

Title: Fundamental Clustering Problems Suite
Description: Over sixty clustering algorithms are provided in this package with consistent input and output, which enables the user to try out algorithms swiftly. Additionally, 26 statistical approaches for the estimation of the number of clusters as well as the mirrored density plot (MD-plot) of clusterability are implemented. The packages is published in Thrun, M.C., Stier Q.: "Fundamental Clustering Algorithms Suite" (2021), SoftwareX, <DOI:10.1016/j.softx.2020.100642>. Moreover, the fundamental clustering problems suite (FCPS) offers a variety of clustering challenges any algorithm should handle when facing real world data, see Thrun, M.C., Ultsch A.: "Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems" (2020), Data in Brief, <DOI:10.1016/j.dib.2020.105501>.
Author: Michael Thrun [aut, cre, cph] , Peter Nahrgang [ctr, ctb], Felix Pape [ctr, ctb], Vasyl Pihur [ctb], Guy Brock [ctb], Susmita Datta [ctb], Somnath Datta [ctb], Luis Winckelmann [com], Alfred Ultsch [dtc, ctb], Quirin Stier [ctb, rev]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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New package yieldcurves with initial version 0.1.0
Package: yieldcurves
Title: Yield Curve Fitting, Analysis, and Decomposition
Version: 0.1.0
Description: Fits yield curves using Nelson-Siegel (1987) <doi:10.1086/296409>, Svensson (1994) <doi:10.3386/w4871>, and cubic spline methods. Extracts forward rates, discount factors, and par rates from fitted curves. Computes duration and convexity risk measures. Computes Z-spread and key rate durations. Provides principal component decomposition following Litterman and Scheinkman (1991) <doi:10.3905/jfi.1991.692347>, carry and roll-down analysis, and slope measures. All methods are pure computation with no external dependencies beyond base R; works with yield data from any source.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), graphics, stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/yieldcurves
BugReports: https://github.com/charlescoverdale/yieldcurves/issues
NeedsCompilation: no
Packaged: 2026-03-23 19:14:42 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 10:50:02 UTC

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Package tkrplot updated to version 0.0-32 with previous version 0.0-30 dated 2025-05-26

Title: TK Rplot
Description: Simple mechanism for placing R graphics in a Tk widget.
Author: Luke Tierney [aut, cre]
Maintainer: Luke Tierney <luke-tierney@uiowa.edu>

Diff between tkrplot versions 0.0-30 dated 2025-05-26 and 0.0-32 dated 2026-03-26

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Package SPARTAAS updated to version 1.2.5 with previous version 1.2.4 dated 2024-06-27

Title: Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS
Description: Statistical pattern recognition and dating using archaeological artefacts assemblages. Package of statistical tools for archaeology. hclustcompro()/perioclust(): Bellanger Lise, Coulon Arthur, Husi Philippe (2021, ISBN:978-3-030-60103-4). mapclust(): Bellanger Lise, Coulon Arthur, Husi Philippe (2021) <doi:10.1016/j.jas.2021.105431>. seriograph(): Desachy Bruno (2004) <doi:10.3406/pica.2004.2396>. cerardat(): Bellanger Lise, Husi Philippe (2012) <doi:10.1016/j.jas.2011.06.031>.
Author: Arthur Coulon [aut, cre], Lise Bellanger [aut], Philippe Husi [aut], Bruno Desachy [ctb], Benjamin Martineau [ctb]
Maintainer: Arthur Coulon <arthur-coulon@outlook.fr>

Diff between SPARTAAS versions 1.2.4 dated 2024-06-27 and 1.2.5 dated 2026-03-26

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New package SEPA with initial version 0.1.0
Package: SEPA
Title: Segment Profile Extraction via Pattern Analysis
Version: 0.1.0
Description: Implements the Segment Profile Extraction via Pattern Analysis method for row-mean-centered multivariate data. Core capabilities include SVD-based row-isometric biplot construction, bias-corrected and accelerated, and percentile bootstrap confidence intervals for domain coordinates and per-person direction cosines, Procrustes alignment of bootstrap replicates across planes, parallel analysis for dimensionality selection, and segment profile reconstruction in planes defined by pairs of singular dimensions. A synthetic Woodcock-Johnson IV look-alike dataset is provided for examples and testing. The method is described in Kim and Grochowalski (2019) <doi:10.1007/s00357-018-9277-7>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: boot (>= 1.3-28), parallel
Suggests: writexl (>= 1.4.0), knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-23 12:23:01 UTC; sekangkim
Author: Se-Kang Kim [aut, cre]
Maintainer: Se-Kang Kim <se-kang.kim@bcm.edu>
Repository: CRAN
Date/Publication: 2026-03-26 10:20:02 UTC

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Package samplr updated to version 1.1.2 with previous version 1.1.1 dated 2026-02-20

Title: Compare Human Performance to Sampling Algorithms
Description: Understand human performance from the perspective of sampling, both looking at how people generate samples and how people use the samples they have generated. A longer overview and other resources can be found at <https://sampling.warwick.ac.uk>.
Author: Lucas Castillo [aut, cre, cph] , Yun-Xiao Li [aut, cph] , Adam N Sanborn [aut, cph] , European Research Council [fnd]
Maintainer: Lucas Castillo <lucas.castillo@warwick.ac.uk>

Diff between samplr versions 1.1.1 dated 2026-02-20 and 1.1.2 dated 2026-03-26

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New package pixieweb with initial version 0.1.0
Package: pixieweb
Title: Access PX-Web Statistical Data from R
Version: 0.1.0
Description: A pipe-friendly R client for PX-Web statistical APIs. Provides a search-then-fetch workflow for discovering and downloading data from national statistics agencies (SCB, SSB, Statistics Finland, etc.) using a consistent tibble-based interface.
License: AGPL (>= 3)
URL: https://lchansson.github.io/pixieweb/, https://github.com/lchansson/pixieweb
BugReports: https://github.com/lchansson/pixieweb/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, httr2, jsonlite, rlang (>= 1.1.0), tibble, tidyr
Suggests: ggplot2, httptest2, knitr, pxweb, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-23 15:12:26 UTC; tgslhn
Author: Love Hansson [aut, cre, cph]
Maintainer: Love Hansson <love.hansson@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 10:30:02 UTC

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New package inflationkit with initial version 0.1.0
Package: inflationkit
Title: Inflation Decomposition, Core Measures, and Trend Estimation
Version: 0.1.0
Description: Tools for analysing inflation dynamics. Computes weighted contributions of price index components, core inflation measures (trimmed mean, weighted median, exclusion-based) following Bryan and Cecchetti (1994) <doi:10.1016/0304-3932(94)90030-2>, inflation persistence via sum-of-AR-coefficients, diffusion indices, Phillips curve estimation, breakeven inflation, and trend inflation using the Beveridge-Nelson decomposition and Hodrick-Prescott filter. All functions are pure computation and work with price data from any source.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), grDevices, graphics, stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/inflationkit
BugReports: https://github.com/charlescoverdale/inflationkit/issues
NeedsCompilation: no
Packaged: 2026-03-23 19:14:29 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 10:40:14 UTC

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New package edgarfundamentals with initial version 0.1.1
Package: edgarfundamentals
Title: Retrieve Fundamental Financial Data from SEC 'EDGAR'
Version: 0.1.1
Description: Provides a simple, ticker-based interface for retrieving fundamental financial data from the United States Securities and Exchange Commission's 'EDGAR' 'XBRL' API <https://www.sec.gov/edgar/sec-api-documentation>. Functions return key financial ratios including earnings per share, return on equity, return on assets, debt-to-equity, current ratio, gross margin, operating margin, net margin, price-to-earnings, price-to-book, and dividend yield for any publicly traded U.S. company. Data is sourced directly from company 10-K annual filings, requiring no API key or paid subscription. Designed for use in quantitative finance courses and research workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.1.0), httr (>= 1.4.0), jsonlite (>= 1.8.0), rlang, tidyquant (>= 1.0.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/robschumaker/edgarfundamentals
BugReports: https://github.com/robschumaker/edgarfundamentals/issues
NeedsCompilation: no
Packaged: 2026-03-23 15:37:13 UTC; rschumaker
Author: Robert Schumaker [aut, cre]
Maintainer: Robert Schumaker <rob.schumaker@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-03-26 10:30:09 UTC

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New package ECMLE with initial version 0.1.0
Package: ECMLE
Title: Approximating Evidence via Bounded Harmonic Means
Version: 0.1.0
Description: Implements the Elliptical Covering Marginal Likelihood Estimator (ECMLE), a geometric method for approximating marginal likelihood from posterior draws and log-posterior evaluations. The method constructs a collection of non-overlapping ellipsoids in a high-posterior-density region, computes the covered volume, and combines this with posterior sample coverage to estimate model evidence. It is designed to stabilize harmonic-mean-based evidence approximation and can be applied in multimodal settings. The methodology is described in Naderi et al. (2025) <doi:10.48550/arXiv.2510.20617>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: IDPmisc, graphics, stats, withr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/da-na-deri/ECMLE
BugReports: https://github.com/da-na-deri/ECMLE/issues
NeedsCompilation: no
Packaged: 2026-03-23 11:15:51 UTC; naderi
Author: Dana Naderi [aut, cre], Christian P. Robert [aut], Kaniav Kamary [aut], Darren Wraith [aut]
Maintainer: Dana Naderi <naderi@ceremade.dauphine.fr>
Repository: CRAN
Date/Publication: 2026-03-26 10:10:12 UTC

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Package DSMolgenisArmadillo updated to version 4.0.1 with previous version 3.0.2 dated 2025-12-06

Title: 'DataSHIELD' Client for 'MOLGENIS Armadillo'
Description: 'DataSHIELD' is an infrastructure and series of R packages that enables the remote and 'non-disclosive' analysis of sensitive research data. This package is the 'DataSHIELD' interface implementation to analyze data shared on a 'MOLGENIS Armadillo' server. 'MOLGENIS Armadillo' is a light-weight 'DataSHIELD' server using a file store and an 'RServe' server.
Author: Mariska Slofstra [aut, cre] , Sido Haakma [aut] , Tommy de Boer [aut] , Fleur Kelpin [aut] , MOLGENIS org [cph, fnd]
Maintainer: Mariska Slofstra <m.k.slofstra@umcg.nl>

Diff between DSMolgenisArmadillo versions 3.0.2 dated 2025-12-06 and 4.0.1 dated 2026-03-26

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Package cctest updated to version 2.3.2 with previous version 2.3.1 dated 2026-02-25

Title: Canonical Correlations and Tests of Independence
Description: A simple interface for multivariate correlation analysis that unifies various classical statistical procedures including t-tests, tests in univariate and multivariate linear models, parametric and nonparametric tests for correlation, Kruskal-Wallis tests, common approximate versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score tests of particular hypotheses in generalized linear models, canonical correlation analysis and linear discriminant analysis.
Author: Robert Schlicht [aut, cre]
Maintainer: Robert Schlicht <robert.schlicht@tu-dresden.de>

Diff between cctest versions 2.3.1 dated 2026-02-25 and 2.3.2 dated 2026-03-26

 DESCRIPTION       |    6 ++---
 MD5               |    6 ++---
 build/partial.rdb |binary
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 4 files changed, 34 insertions(+), 35 deletions(-)

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New package WeightCraft with initial version 1.0.0
Package: WeightCraft
Title: Portfolio Choice: Estimation, Construction, and Evaluation
Version: 1.0.0
Description: Providing quantitative tools for input estimation, portfolio construction, and performance evaluation.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: quadprog, stats
NeedsCompilation: no
Packaged: 2026-03-22 19:21:23 UTC; Pavlos
Author: Pavlos Pantatosakis [aut, cre], Georgios Skoulakis [aut]
Maintainer: Pavlos Pantatosakis <pantatosakisp@yahoo.com>
Repository: CRAN
Date/Publication: 2026-03-26 09:50:14 UTC

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New package TernTables with initial version 1.6.4
Package: TernTables
Title: Publication-Ready Summary Tables and Statistical Testing for Clinical Research
Version: 1.6.4
Description: Generates publication-ready summary tables for clinical research, supporting descriptive summaries and comparisons across two or three groups. The package streamlines the analytical workflow by detecting variable types and applying appropriate statistical tests (Welch t-test, Wilcoxon rank-sum, Welch ANOVA, Kruskal-Wallis, Chi-squared, or Fisher's exact test). Results are formatted as 'tibble' objects and can be exported to 'Word' or 'Excel' using the 'officer', 'flextable', and 'writexl' packages. Optional pairwise post-hoc testing for three-group comparisons (Games-Howell and Dunn's test) is available via the 'rstatix' package. Example data are derived from the landmark adjuvant colon cancer trial described in Moertel et al. (1990) <doi:10.1056/NEJM199002083220602>.
License: MIT + file LICENSE
URL: https://github.com/jdpreston30/TernTables, https://tern-tables.com/
BugReports: https://github.com/jdpreston30/TernTables/issues
Encoding: UTF-8
Imports: cli, dplyr (>= 1.0.0), epitools, flextable (>= 0.9.0), magrittr, officer (>= 0.4.6), rlang, stats, stringr, tibble, withr, writexl
Suggests: knitr, multcompView, rmarkdown, rstatix, survival, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-23 19:59:17 UTC; jdp2019
Author: Joshua D. Preston [aut, cre] , Helen Abadiotakis [aut] , Ailin Tang [aut] , Clayton J. Rust [aut] , Joshua L. Chan [aut]
Maintainer: Joshua D. Preston <joshua.preston@emory.edu>
Repository: CRAN
Date/Publication: 2026-03-26 10:00:21 UTC

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New package SuperSurv with initial version 0.1.1
Package: SuperSurv
Title: A Unified Framework for Machine Learning Ensembles in Survival Analysis
Version: 0.1.1
Description: Implements a Super Learner framework for right-censored survival data. The package fits convex combinations of parametric, semiparametric, and machine learning survival learners by minimizing cross-validated risk using inverse probability of censoring weighting (IPCW). It provides tools for automated hyperparameter grid search, high-dimensional variable screening, and evaluation of prediction performance using metrics such as the Brier score, Uno's C-index, and time-dependent area under the curve (AUC). Additional utilities support model interpretation for survival ensembles, including Shapley additive explanations (SHAP), and estimation of covariate-adjusted restricted mean survival time (RMST) contrasts. The methodology is related to treatment-specific survival curve estimation using machine learning described by Westling, Luedtke, Gilbert and Carone (2024) <doi:10.1080/01621459.2023.2205060>, and the unified ensemble framework described in Lyu et al. (2026) <doi:10.64898/20 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
LazyData: true
Imports: survival, nnls, future.apply, stats, dplyr, magrittr
URL: https://github.com/yuelyu21/SuperSurv, https://yuelyu21.github.io/SuperSurv/
BugReports: https://github.com/yuelyu21/SuperSurv/issues
Suggests: aorsf, BART, CoxBoost, glmnet, gbm, mgcv, randomForestSRC, ranger, rpart, survivalsvm, xgboost, fastshap, survex, ggplot2, tidyr, quadprog, ggforce, patchwork, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-23 08:46:55 UTC; a98455
Author: Yue Lyu [aut, cre]
Maintainer: Yue Lyu <yuelyu0521@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 10:00:27 UTC

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New package soilFlux with initial version 0.1.5
Package: soilFlux
Title: Physics-Informed Neural Networks for Soil Water Retention Curves
Version: 0.1.5
Description: Implements a physics-informed one-dimensional convolutional neural network (CNN1D-PINN) for estimating the complete soil water retention curve (SWRC) as a continuous function of matric potential, from soil texture, organic carbon, bulk density, and depth. The network architecture ensures strict monotonic decrease of volumetric water content with increasing suction by construction, through cumulative integration of non-negative slope outputs (monotone integral architecture). Four physics-based residual constraints adapted from Norouzi et al. (2025) <doi:10.1029/2024WR038149> are embedded in the loss function: (S1) linearity at the dry end (pF in [5, 7.6]); (S2) non-negativity at pF = 6.2; (S3) non-positivity at pF = 7.6; and (S4) a near-zero derivative in the saturated plateau region (pF in [-2, -0.3]). Includes tools for data preparation, model training, dense prediction, performance metrics, texture classification, and publication-quality visualisation.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Python (>= 3.8), TensorFlow (>= 2.14), Keras (>= 3.0)
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.0), tidyr (>= 1.3.0), ggplot2 (>= 3.4.0), purrr (>= 1.0.0), tibble (>= 3.2.0), stringr (>= 1.5.0), reticulate (>= 1.34.0), tensorflow (>= 2.14.0), rlang (>= 1.1.0)
Suggests: keras3 (>= 1.0.0), ggtern, readxl (>= 1.4.0), scales (>= 1.2.0), knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/HugoMachadoRodrigues/soilFlux, https://hugomachadorodrigues.github.io/soilFlux/
BugReports: https://github.com/HugoMachadoRodrigues/soilFlux/issues
NeedsCompilation: no
Packaged: 2026-03-21 21:09:59 UTC; rodrigues.h
Author: Hugo Rodrigues [aut, cre]
Maintainer: Hugo Rodrigues <rodrigues.machado.hugo@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 09:30:02 UTC

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New package SeroTrackR with initial version 1.0.0
Package: SeroTrackR
Title: Serology-Based Data Analysis and Visualization
Version: 1.0.0
Description: Data wrangling and cleaning, quality control checks and implementation of machine learning classification algorithm.
License: CC BY 4.0
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, drc, forcats, ggplot2, here, janitor, kableExtra, knitr, magrittr, openxlsx, parsnip, purrr, ranger, readr, readxl, rmarkdown, stats, stringr, tidyr, tidyselect, utils, workflows
URL: https://github.com/dionnecargy/SeroTrackR, https://dionnecargy.github.io/SeroTrackR/
BugReports: https://github.com/dionnecargy/SeroTrackR/issues
Suggests: glue, htmltools, httr, jsonlite, shiny.fluent, tidyverse, zoo
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-23 04:28:32 UTC; argyropoulos.d
Author: Dionne Argyropoulos [aut, cre]
Maintainer: Dionne Argyropoulos <argyropoulos.d@wehi.edu.au>
Repository: CRAN
Date/Publication: 2026-03-26 10:00:36 UTC

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New package rtemis with initial version 1.0.0
Package: rtemis
Version: 1.0.0
Title: Machine Learning and Visualization
Date: 2026-03-14
Description: Machine learning and visualization package with an 'S7' backend featuring comprehensive type checking and validation, paired with an efficient functional user-facing API. train(), cluster(), and decomp() provide one-call access to supervised and unsupervised learning. All configuration steps are performed using setup functions and validated. A single call to train() handles preprocessing, hyperparameter tuning, and testing with nested resampling. Supports 'data.frame', 'data.table', and 'tibble' inputs, parallel execution, and interactive visualizations. The package first appeared in E.D. Gennatas (2017) <https://repository.upenn.edu/entities/publication/d81892ea-3087-4b71-a6f5-739c58626d64>.
License: GPL (>= 3)
URL: https://www.rtemis.org, https://docs.rtemis.org/r/, https://docs.rtemis.org/r-api/
BugReports: https://github.com/rtemis-org/rtemis/issues
ByteCompile: yes
Depends: R (>= 4.1.0)
Imports: grDevices, graphics, stats, methods, utils, S7, data.table, future, htmltools, cli
Suggests: arrow, bit64, car, colorspace, DBI, dbscan, dendextend (>= 0.18.0), duckdb, e1071, farff, fastICA, flexclust, future.apply, future.mirai, futurize, geosphere, ggplot2, glmnet, geojsonio, glue, grid, gsubfn, haven, heatmaply, htmlwidgets, igraph, jsonlite, leaflet, leaps, lightAUC, lightgbm, matrixStats, mgcv, mice, mirai, missRanger, networkD3, NMF, openxlsx, parallelly, partykit, plotly, pROC, progressr, psych, pvclust, ranger, reactable, readxl, reticulate, ROCR, rpart, Rtsne, seqinr, sf, shapr, survival, tabnet, threejs, testthat (>= 3.0.0), tibble, timeDate, toml, torch, uwot, vegan, vroom, withr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-23 09:34:39 UTC; egenn
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 10:00:02 UTC

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New package rcloner with initial version 0.0.1
Package: rcloner
Title: Interface to 'rclone' Cloud Storage Utility
Version: 0.0.1
Description: Provides an R interface to 'rclone' <https://rclone.org>, a command-line program for managing files on cloud storage. 'rclone' supports over 40 cloud storage providers including 'S3'-compatible services ('Amazon S3', 'MinIO', 'Ceph'), 'Google Cloud Storage', 'Azure Blob Storage', and many others. This package downloads and manages the 'rclone' binary automatically and wraps its commands as R functions, returning results as data frames where appropriate.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: fs, jsonlite, processx, utils
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 3.0.0), withr
Language: en-US
VignetteBuilder: knitr
URL: https://boettiger-lab.github.io/rcloner/, https://github.com/boettiger-lab/rcloner
BugReports: https://github.com/boettiger-lab/rcloner/issues
NeedsCompilation: no
Packaged: 2026-03-22 20:57:50 UTC; cboettig
Author: Carl Boettiger [aut, cre]
Maintainer: Carl Boettiger <cboettig@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 09:50:02 UTC

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New package radEmu with initial version 2.3.1.0
Package: radEmu
Title: Using Relative Abundance Data to Estimate of Multiplicative Differences in Mean Absolute Abundance
Version: 2.3.1.0
Description: A differential abundance method for the analysis of microbiome data. 'radEmu' estimates fold-differences in the abundance of taxa across samples relative to "typical" fold-differences. Notably, it does not require pseudocounts, nor choosing a denominator taxon. For more details, see Clausen et al. (2026) <doi:10.1093/biomet/asag009>.
URL: https://github.com/statdivlab/radEmu, https://statdivlab.github.io/radEmu/
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: MASS, Matrix, methods, magrittr, rlang, R (>= 2.10)
Suggests: testthat (>= 3.0.0), numDeriv, phyloseq, TreeSummarizedExperiment, SummarizedExperiment, SingleCellExperiment, knitr, dplyr, ggplot2, stringr, parallel, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-20 20:42:23 UTC; sarahteichman
Author: David Clausen [aut], Amy D Willis [aut, cre] , Sarah Teichman [aut]
Maintainer: Amy D Willis <adwillis@uw.edu>
Repository: CRAN
Date/Publication: 2026-03-26 09:20:02 UTC

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New package netrics with initial version 0.2.0
Package: netrics
Title: Many Ways to Measure and Classify Membership for Networks, Nodes, and Ties
Version: 0.2.0
Date: 2026-03-21
Description: Many tools for calculating network, node, or tie marks, measures, motifs and memberships of many different types of networks. Marks identify structural positions, measures quantify network properties, memberships classify nodes into groups, and motifs tabulate substructure participation. All functions operate with all classes of network data covered in 'manynet', and on directed, undirected, multiplex, multimodal, signed, and other networks.
URL: https://stocnet.github.io/netrics/
BugReports: https://github.com/stocnet/netrics/issues
License: MIT + file LICENSE
Language: en-GB
Encoding: UTF-8
Depends: R (>= 3.6.0), manynet
Imports: dplyr, igraph (>= 2.1.0)
Suggests: autograph, sna, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-21 19:41:35 UTC; hollway
Author: James Hollway [cre, aut, ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>
Repository: CRAN
Date/Publication: 2026-03-26 09:30:09 UTC

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Package MolgenisArmadillo updated to version 3.0.0 with previous version 2.9.3 dated 2025-12-06

Title: Armadillo Client for the Armadillo Service
Description: A set of functions to manage data shared on a 'MOLGENIS Armadillo' server.
Author: Mariska Slofstra [aut, cre] , Sido Haakma [aut] , Tommy de Boer [aut] , Fleur Kelpin [aut] , Morris Swertz [aut] , Tim Cadman [aut]
Maintainer: Mariska Slofstra <m.k.slofstra@umcg.nl>

Diff between MolgenisArmadillo versions 2.9.3 dated 2025-12-06 and 3.0.0 dated 2026-03-26

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New package longitree with initial version 1.0.0
Package: longitree
Title: Decision Tree Analysis for Longitudinal Measurement Data
Version: 1.0.0
Maintainer: Ryoto Obata <ryoto.obata@gmail.com>
Description: Implements tree-based methods for longitudinal data. The package constructs decision trees that evaluate both the main effect of a covariate and its interaction with time through a weighted splitting criterion. It supports single-tree construction, bootstrap-based multiple-tree selection, and tree visualisation. For methodological details, see Obata and Sugimoto (2026) <doi:10.1007/s11634-025-00665-2>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Depends: R (>= 3.5.0)
Imports: stats, graphics, partykit, ggparty, ggplot2, lme4, utils
Suggests: testthat (>= 3.0.0)
Packaged: 2026-03-22 10:37:44 UTC; jovyan
Author: Ryoto Obata [aut, cre], Tomoyuki Sugimoto [aut]
Repository: CRAN
Date/Publication: 2026-03-26 09:40:02 UTC

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New package L0ggm with initial version 0.0.1
Package: L0ggm
Title: Smooth L0 Penalty Approximations for Gaussian Graphical Models
Version: 0.0.1
Date: 2026-03-21
Description: Provides smooth approximations to the L0 norm penalty for estimating sparse Gaussian graphical models (GGMs). Network estimation is performed using the Local Linear Approximation (LLA) framework (Fan & Li, 2001 <doi:10.1198/016214501753382273>; Zou & Li, 2008 <doi:10.1214/009053607000000802>) with five penalty functions: arctangent (Wang & Zhu, 2016 <doi:10.1155/2016/6495417>), EXP (Wang, Fan, & Zhu, 2018 <doi:10.1007/s10463-016-0588-3>), Gumbel, Log (Candes, Wakin, & Boyd, 2008 <doi:10.1007/s00041-008-9045-x>), and Weibull. Adaptive penalty parameters for EXP, Gumbel, and Weibull are estimated via maximum likelihood, and model selection uses information criteria including AIC, BIC, and EBIC (Extended BIC). Simulation functions generate multivariate normal data from GGMs with stochastic block model or small-world (Watts-Strogatz) network structures.
Depends: R (>= 3.5.0)
License: AGPL (>= 3.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Imports: igraph, glasso, glassoFast, Matrix, methods, psych, stats
Copyright: See inst/COPYRIGHTS for details
BugReports: https://github.com/AlexChristensen/L0ggm/issues
Packaged: 2026-03-21 16:01:20 UTC; alextops
Author: Alexander Christensen [aut, cre] , Jeongwon Choi [ctb] , John Fox [cph, ctb] , Yves Rosseel [cph, ctb] , Alexander Robitzsch [cph, ctb] , David Blackman [ctb] , Sebastiano Vigna [ctb] , John Burkardt [cph, ctb]
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 09:30:27 UTC

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New package ixsurface with initial version 0.1.0
Package: ixsurface
Title: Interactive 3D Surface Plots for Multi-Factor Interaction Visualization
Version: 0.1.0
Description: Visualize interactions between multiple experimental factors using interactive 3D surface plots powered by 'plotly'. Instead of examining combinatorial pairwise interaction plots, map factor combinations to response surfaces and use surface crossings as geometric indicators of interaction effects. Supports continuous, categorical, and mixed factor designs with automatic binning for continuous conditioning variables.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/cjbrant/ixsurface
BugReports: https://github.com/cjbrant/ixsurface/issues
Imports: plotly (>= 4.10.0), stats, utils, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-21 19:06:11 UTC; christopherbrantner
Author: Chris Brantner [aut, cre]
Maintainer: Chris Brantner <cjbrantn@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-26 09:30:22 UTC

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New package hhdynamics with initial version 1.3.2
Package: hhdynamics
Title: Fitting Household Transmission Model to Estimate Household Transmission Dynamics of Influenza
Version: 1.3.2
Maintainer: Tim Tsang <timkltsang@gmail.com>
Description: A Bayesian household transmission model to estimate household transmission dynamics, with accounting for infection from community and tertiary cases.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
URL: https://github.com/timktsang/hhdynamics
BugReports: https://github.com/timktsang/hhdynamics/issues
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.9), RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
SystemRequirements: GNU make
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-23 22:45:29 UTC; timtsang
Author: Tim Tsang [aut, cre]
Repository: CRAN
Date/Publication: 2026-03-26 10:00:15 UTC

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New package growthDecomp with initial version 0.1.0
Package: growthDecomp
Title: Decomposition of Growth Trends
Version: 0.1.0
Description: Decomposes observed growth in agricultural and livestock systems into interpretable component effects. Depending on the application, the total change in output can be attributed to components such as area effect, yield effect, herd or slaughter effect, productivity effect, and interaction effect. Details can be found in Rakshit and Bardhan (2026) <doi:10.1007/s11250-026-04988-w>.
Author: Debopam Rakshit [aut, cre], Dwaipayan Bardhan [aut]
Maintainer: Debopam Rakshit <rakshitdebopam@yahoo.com>
Imports: fracdiff
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-17 18:21:47 UTC; Debopam
Repository: CRAN
Date/Publication: 2026-03-26 09:50:08 UTC

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New package animejs with initial version 0.1.0
Package: animejs
Title: R Bindings to the 'Anime.js' Animation Library
Version: 0.1.0
Description: Provides low-level R bindings to the 'Anime.js' library (<https://animejs.com>), enabling the creation of browser-native SVG and HTML animations via the 'htmlwidgets' framework.
License: MIT + file LICENSE
URL: https://github.com/long39ng/animejs, https://long39ng.github.io/animejs/
BugReports: https://github.com/long39ng/animejs/issues
Depends: R (>= 4.1.0)
Imports: htmlwidgets, rlang
Suggests: htmltools, jsonlite, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-22 10:12:54 UTC; long
Author: Long Nguyen [aut, cre]
Maintainer: Long Nguyen <nguyen@dezim-institut.de>
Repository: CRAN
Date/Publication: 2026-03-26 09:40:09 UTC

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Package TFORGE updated to version 0.1.17 with previous version 0.1.16 dated 2025-12-12

Title: Tests for Geophysical Eigenvalues
Description: The eigenvalues of observed symmetric matrices are often of intense scientific interest. This package offers single sample tests for the eigenvalues of the population mean or the eigenvalue-multiplicity of the population mean. For k-samples, this package offers tests for equal eigenvalues between samples. Included is support for matrices with constraints common to geophysical tensors (constant trace, sum of squared eigenvalues, or both) and eigenvectors are usually considered nuisance parameters. Pivotal bootstrap methods enable these tests to have good performance for small samples (n=15 for 3x3 matrices). These methods were developed and studied by Hingee, Scealy and Wood (2026, <doi:10.1080/01621459.2025.2606381>). Also available is a 2-sample test using a Gaussian orthogonal ensemble approximation and an eigenvalue-multiplicity test that assumes orthogonally-invariant covariance.
Author: Kassel Liam Hingee [aut, cre] , Art B. Owen [cph] , Board of Trustees Leland Stanford Junior University [cph]
Maintainer: Kassel Liam Hingee <kassel.hingee@gmail.com>

Diff between TFORGE versions 0.1.16 dated 2025-12-12 and 0.1.17 dated 2026-03-26

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Package SAPP updated to version 1.0.9-4 with previous version 1.0.9-1 dated 2023-06-01

Title: Statistical Analysis of Point Processes
Description: Functions for statistical analysis of point processes.
Author: Yoshinori Kawasaki [aut, cre], Junji Nakano [aut], Masami Saga [aut], The Institute of Statistical Mathematics [cph, fnd]
Maintainer: Yoshinori Kawasaki <kawasaki@ism.ac.jp>

Diff between SAPP versions 1.0.9-1 dated 2023-06-01 and 1.0.9-4 dated 2026-03-26

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Package PwePred updated to version 1.1.2 with previous version 1.1.1 dated 2026-03-24

Title: Event/Timeline Prediction Model Based on Piecewise Exponential
Description: Efficient algorithm for estimating piecewise exponential hazard models for right-censored data, and is useful for reliable power calculation, study design, and event/timeline prediction for study monitoring.
Author: Tianchen Xu [aut, cre]
Maintainer: Tianchen Xu <zjph602xutianchen@gmail.com>

Diff between PwePred versions 1.1.1 dated 2026-03-24 and 1.1.2 dated 2026-03-26

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Package NScluster updated to version 1.3.6-5 with previous version 1.3.6-4 dated 2025-04-30

Title: Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models
Description: Simulation and estimation for Neyman-Scott spatial cluster point process models and their extensions, based on the methodology in Tanaka, Ogata, and Stoyan (2008) <doi:10.1002/bimj.200610339>. To estimate parameters by the simplex method, parallel computation using 'OpenMP' application programming interface is available. For more details see Tanaka, Saga and Nakano <doi:10.18637/jss.v098.i06>.
Author: Ushio Tanaka [aut, cre], Junji Nakano [aut], Masami Saga [aut]
Maintainer: Ushio Tanaka <utanaka@omu.ac.jp>

Diff between NScluster versions 1.3.6-4 dated 2025-04-30 and 1.3.6-5 dated 2026-03-26

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Package catdap updated to version 1.3.7-4 with previous version 1.3.7 dated 2023-05-31

Title: Categorical Data Analysis Program Package
Description: Categorical data analysis by AIC. The methodology is described in Sakamoto (1992) <ISBN 978-0-7923-1429-5>.
Author: Yoshinori Kawasaki [aut, cre], Junji Nakano [aut], Masami Saga [aut], The Institute of Statistical Mathematics [cph, fnd]
Maintainer: Yoshinori Kawasaki <kawasaki@ism.ac.jp>

Diff between catdap versions 1.3.7 dated 2023-05-31 and 1.3.7-4 dated 2026-03-26

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Package htetree updated to version 0.1.23 with previous version 0.1.20 dated 2025-01-13

Title: Causal Inference with Tree-Based Machine Learning Algorithms
Description: Estimating heterogeneous treatment effects with tree-based machine learning algorithms and visualizing estimated results in flexible and presentation-ready ways. For more information, see Brand, Xu, Koch, and Geraldo (2021) <doi:10.1177/0081175021993503>. Our current package first started as a fork of the 'causalTree' package on 'GitHub' and we greatly appreciate the authors for their extremely useful and free package.
Author: Jiahui Xu [cre, aut], Tanvi Shinkre [aut], Jennie Brand [aut]
Maintainer: Jiahui Xu <jiahuixu@ucla.edu>

Diff between htetree versions 0.1.20 dated 2025-01-13 and 0.1.23 dated 2026-03-26

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Package party updated to version 1.3-20 with previous version 1.3-19 dated 2026-03-10

Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available. The methods are described in Hothorn et al. (2006) <doi:10.1198/106186006X133933>, Zeileis et al. (2008) <d [...truncated...]
Author: Torsten Hothorn [aut, cre] , Kurt Hornik [aut] , Carolin Strobl [aut] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between party versions 1.3-19 dated 2026-03-10 and 1.3-20 dated 2026-03-26

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Package duckdb updated to version 1.5.1 with previous version 1.5.0 dated 2026-03-14

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package degradr updated to version 1.0.2 with previous version 1.0.1 dated 2025-10-01

Title: Estimating Remaining Useful Life with Linear Mixed Effects Models
Description: Provides tools for estimating the Remaining Useful Life (RUL) of degrading systems using linear mixed-effects models and creating a health index. It supports both univariate and multivariate degradation signals. For multivariate inputs, the signals are merged into a univariate health index prior to modeling. Linear and exponential degradation trajectories are supported (the latter using a log transformation). Remaining Useful Life (RUL) distributions are estimated using Bayesian updating for new units, enabling on-site predictive maintenance. Based on the methodology of Liu and Huang (2016) <doi:10.1109/TASE.2014.2349733>.
Author: Pedro Abraham Montoya Calzada [aut, cre, cph] , Rogelio Salinas Gutierrez [aut, cph] , Silvia Rodriguez-Narciso [aut, cph] , Netzahualcoyotl Castaneda-Leyva [aut, cph]
Maintainer: Pedro Abraham Montoya Calzada <pedroabraham.montoya@gmail.com>

Diff between degradr versions 1.0.1 dated 2025-10-01 and 1.0.2 dated 2026-03-26

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Wed, 25 Mar 2026

Package pkgdiff updated to version 1.0.2 with previous version 1.0.1 dated 2025-12-16

Title: Identifies Package Differences
Description: Identifies differences between versions of a package. Specifically, the functions help determine if there are breaking changes from one package version to the next. The package also includes a stability assessment, to help you determine the overall stability of a package, or even an entire repository.
Author: David Bosak [aut, cre], Brian Varney [ctb], Kevin Putschko [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between pkgdiff versions 1.0.1 dated 2025-12-16 and 1.0.2 dated 2026-03-25

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Package ggautomap updated to version 0.4.0 with previous version 0.3.3 dated 2025-09-10

Title: Create Maps from a Column of Place Names
Description: Mapping tools that convert place names to coordinates on the fly. These 'ggplot2' extensions make maps from a data frame where one of the columns contains place names, without having to directly work with the underlying geospatial data and tools. The corresponding map data must be registered with 'cartographer' either by the user or by another package.
Author: Carl Suster [aut, cre, cph] , Western Sydney Local Health District, NSW Health [cph]
Maintainer: Carl Suster <carl.suster@sydney.edu.au>

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Package WhatIf readmission to version 1.5-11 with previous version 1.5-10 dated 2020-11-14

Title: Software for Evaluating Counterfactuals
Description: Inferences about counterfactuals are essential for prediction, answering what if questions, and estimating causal effects. However, when the counterfactuals posed are too far from the data at hand, conclusions drawn from well-specified statistical analyses become based largely on speculation hidden in convenient modeling assumptions that few would be willing to defend. Unfortunately, standard statistical approaches assume the veracity of the model rather than revealing the degree of model-dependence, which makes this problem hard to detect. 'WhatIf' offers easy-to-apply methods to evaluate counterfactuals that do not require sensitivity testing over specified classes of models. If an analysis fails the tests offered here, then we know that substantive inferences will be sensitive to at least some modeling choices that are not based on empirical evidence, no matter what method of inference one chooses to use. 'WhatIf' implements the methods for evaluating counterfactuals discussed in Ga [...truncated...]
Author: Heather Stoll [aut], Gary King [aut], Langche Zeng [aut], Christopher Gandrud [aut], Ben Sabath [aut], Soubhik Barari [ctb], Katalina Toth [cre]
Maintainer: Katalina Toth <katalinaltoth@gmail.com>

This is a re-admission after prior archival of version 1.5-10 dated 2020-11-14

Diff between WhatIf versions 1.5-10 dated 2020-11-14 and 1.5-11 dated 2026-03-25

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Package vostokR updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-23

Title: Solar Potential Calculation for Point Clouds using 'VOSTOK'
Description: Calculate solar potential for LiDAR point clouds using the 'VOSTOK' (Voxel Octree Solar Toolkit) algorithm. This R program provides an interface to the original 'VOSTOK' C++ implementation by Bechtold and Hofle (2020), enabling efficient ray casting and solar position algorithms to compute solar irradiance for each point while accounting for shadowing effects. Integrates seamlessly with the 'lidR' package for LiDAR data processing workflows. The original 'VOSTOK' toolkit is available at <doi:10.11588/data/QNA02B>.
Author: Andrew J. Sanchez Meador [aut, cre], Sebastian Bechtold [aut] , Bernhard Hofle [aut]
Maintainer: Andrew J. Sanchez Meador <andrew.sanchezmeador@nau.edu>

Diff between vostokR versions 0.2.0 dated 2026-03-23 and 0.2.1 dated 2026-03-25

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Package validmind updated to version 2.12.5 with previous version 0.1.2 dated 2024-11-07

Title: Interface to the 'ValidMind' Platform
Description: Deploy, execute, and analyze the results of models hosted on the 'ValidMind' Platform <https://validmind.ai>. This package interfaces with the 'Python' Library API in order to allow advanced diagnostics and insight into trained models all from an 'R' environment.
Author: Andres Rodriguez [aut, cre, cph]
Maintainer: Andres Rodriguez <andres@validmind.ai>

Diff between validmind versions 0.1.2 dated 2024-11-07 and 2.12.5 dated 2026-03-25

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Package serocalculator readmission to version 1.4.1 with previous version 1.4.0 dated 2025-12-11

Title: Estimating Infection Rates from Serological Data
Description: Translates antibody levels measured in cross-sectional population samples into estimates of the frequency with which seroconversions (infections) occur in the sampled populations. Replaces the previous `seroincidence` package.
Author: Kristina Lai [aut, cre], Chris Orwa [aut], Kwan Ho Lee [ctb], Peter Teunis [aut, cph] , Kristen Aiemjoy [aut], Douglas Ezra Morrison [aut]
Maintainer: Kristina Lai <kwlai@ucdavis.edu>

This is a re-admission after prior archival of version 1.4.0 dated 2025-12-11

Diff between serocalculator versions 1.4.0 dated 2025-12-11 and 1.4.1 dated 2026-03-25

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Package relliptical readmission to version 1.4.0 with previous version 1.3.0 dated 2024-02-07

Title: The Truncated Elliptical Family of Distributions
Description: It provides a function for random number generation from members of the truncated multivariate elliptical family of distributions, including truncated versions of the Normal, Student-t, Pearson type VII, Slash, Logistic, and related distributions. Additional distributions can be specified by supplying the density generating function. The package also computes first- and second-order moments, including the covariance matrix, for selected distributions. References used for this package: Galarza, C. E., Matos, L. A., Castro, L. M., & Lachos, V. H. (2022). Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution. Journal of Multivariate Analysis, 189, 104944 <doi:10.1016/j.jmva.2021.104944>; Ho, H. J., Lin, T. I., Chen, H. Y., & Wang, W. L. (2012). Some results on the truncated multivariate t distribution. Journal of Statistical Planning and Inference, 142(1), 25-40 <doi:10.1016/j.jspi.2011.06.006>; [...truncated...]
Author: Katherine A. L. Valeriano [aut, cre] , Larissa Avila Matos [ctb] , Christian Galarza Morales [ctb]
Maintainer: Katherine A. L. Valeriano <katandreina@gmail.com>

This is a re-admission after prior archival of version 1.3.0 dated 2024-02-07

Diff between relliptical versions 1.3.0 dated 2024-02-07 and 1.4.0 dated 2026-03-25

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More information about relliptical at CRAN
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Package pchc updated to version 1.4 with previous version 1.3 dated 2024-12-06

Title: Bayesian Network Learning with the PCHC and Related Algorithms
Description: Bayesian network learning using the PCHC, FEDHC, MMHC and variants of these algorithms. PCHC stands for PC Hill-Climbing, a new hybrid algorithm that uses PC to construct the skeleton of the BN and then applies the Hill-Climbing greedy search. More algorithms and variants have been added, such as MMHC, FEDHC, and the Tabu search variants, PCTABU, MMTABU and FEDTABU. The relevant papers are: a) Tsagris M. (2021). "A new scalable Bayesian network learning algorithm with applications to economics". Computational Economics, 57(1): 341-367. <doi:10.1007/s10614-020-10065-7>. b) Tsagris M. (2022). "The FEDHC Bayesian Network Learning Algorithm". Mathematics 2022, 10(15): 2604. <doi:10.3390/math10152604>. c) Sevinc V. and Tsagris M. (2024). "On the Hyperparameters of PCTABU and PCHC Bayesian Network Learning Algorithms". <doi:10.21203/rs.3.rs-5137132/v1>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between pchc versions 1.3 dated 2024-12-06 and 1.4 dated 2026-03-25

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Package neuroSCC readmission to version 1.0.1 with previous version 1.0.0 dated 2025-03-27

Title: Bridging Simultaneous Confidence Corridors and PET Neuroimaging
Description: Tools for the structured processing of PET neuroimaging data in preparation for the estimation of Simultaneous Confidence Corridors (SCCs) for one-group, two-group, or single-patient vs group comparisons. The package facilitates PET image loading, data restructuring, integration into a Functional Data Analysis framework, contour extraction, identification of significant results, and performance evaluation. It bridges established packages (e.g., 'oro.nifti') with novel statistical methodologies (e.g., 'ImageSCC') and enables reproducible analysis pipelines, including comparison with Statistical Parametric Mapping ('SPM').
Author: Juan A. Arias Lopez [aut, cre, cph] , Virgilio Gomez Rubio [rev] , Pablo Aguiar Fernandez [ths] , Andrew Haddon Kemp [ths]
Maintainer: Juan A. Arias Lopez <iguanamarina@protonmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2025-03-27

Diff between neuroSCC versions 1.0.0 dated 2025-03-27 and 1.0.1 dated 2026-03-25

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More information about neuroSCC at CRAN
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New package ggauto with initial version 0.0.1
Package: ggauto
Title: Automatically Create and Style 'ggplot2' Charts
Version: 0.0.1
Description: Automatically choose an appropriate chart type based on the types and values in the data. Apply more accessible default styling and colours to 'ggplot2' charts.
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: dplyr, ggdist, ggforce, gghighlight, ggplot2, ggrepel, ggtext, glue, khroma, lemon, lubridate, rlang, scales, stringr
Suggests: knitr, rmarkdown
Encoding: UTF-8
URL: https://nrennie.rbind.io/ggauto/, http://nrennie.rbind.io/ggauto/
BugReports: https://github.com/nrennie/ggauto/issues
NeedsCompilation: no
Packaged: 2026-03-21 14:23:23 UTC; nrenn
Author: Nicola Rennie [aut, cre, cph]
Maintainer: Nicola Rennie <nrennie.research@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-25 21:10:02 UTC

More information about ggauto at CRAN
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Package Characterization updated to version 3.0.0 with previous version 2.2.0 dated 2025-09-10

Title: Implement Descriptive Studies Using the Common Data Model
Description: An end-to-end framework that enables users to implement various descriptive studies for a given set of target and outcome cohorts for data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Jenna Reps [aut, cre], Patrick Ryan [aut], Chris Knoll [aut]
Maintainer: Jenna Reps <jreps@its.jnj.com>

Diff between Characterization versions 2.2.0 dated 2025-09-10 and 3.0.0 dated 2026-03-25

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More information about Characterization at CRAN
Permanent link

New package CausalSpline with initial version 0.1.0
Package: CausalSpline
Title: Nonlinear Causal Dose-Response Estimation via Splines
Version: 0.1.0
Description: Estimates nonlinear causal dose-response functions for continuous treatments using spline-based methods under standard causal assumptions (unconfoundedness / ignorability). Implements three identification strategies: Inverse Probability Weighting (IPW) via the generalised propensity score (GPS), G-computation (outcome regression), and a doubly-robust combination. Natural cubic splines and B-splines are supported for both the exposure-response curve f(T) and the propensity nuisance model. Pointwise confidence bands are obtained via the sandwich estimator or nonparametric bootstrap. Also provides fragility diagnostics including pointwise curvature-based fragility, uncertainty-normalised fragility, and regional integration over user-defined treatment intervals. Builds on the framework of Hirano and Imbens (2004) <doi:10.1111/j.1468-0262.2004.00481.x> for continuous treatments and extends it to fully nonparametric spline estimation.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: splines, stats, utils, ggplot2 (>= 3.4.0), sandwich, boot
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, patchwork, cobalt, dplyr
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/CausalSpline
BugReports: https://github.com/causalfragility-lab/CausalSpline/issues
NeedsCompilation: no
Packaged: 2026-03-21 13:00:44 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-03-25 21:10:07 UTC

More information about CausalSpline at CRAN
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New package splitr with initial version 0.1.0
Package: splitr
Title: Fast Utilities for Splitting Excel Sheets
Version: 0.1.0
Description: Provides tools for splitting large Excel worksheets into multiple smaller sheets based on a specified number of rows per chunk. The package reads Excel files, partitions the data efficiently using the 'data.table' package, and writes the resulting subsets into a single workbook with multiple sheets using the 'openxlsx' package. This is useful for handling large datasets, preparing data for reporting, and exporting manageable Excel files for downstream analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, openxlsx
NeedsCompilation: no
Packaged: 2026-03-20 23:49:32 UTC; AfrologicInsect
Author: Daniel Amah [aut, cre]
Maintainer: Daniel Amah <danielamahtoday@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-25 20:50:02 UTC

More information about splitr at CRAN
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New package SpatialInference with initial version 0.1.0
Package: SpatialInference
Title: Tools for Statistical Inference with Geo-Coded Data
Version: 0.1.0
Description: Fast computation of Conley (1999) <doi:10.1016/S0304-4076(98)00084-0> spatial heteroskedasticity and autocorrelation consistent (HAC) standard errors for linear regression models with geo-coded data, with a fast C++ implementation by Christensen, Hartman, and Samii (2021) <doi:10.1017/S0020818321000187>. Performance-critical distance calculations, kernel weighting, and variance component accumulation are implemented in C++ via 'Rcpp' and 'RcppArmadillo'. Includes tools for estimating the spatial correlation range from covariograms and correlograms following the bandwidth selection method proposed in Lehner (2026) <doi:10.48550/arXiv.2603.03997>, and diagnostic visualizations for bandwidth selection.
Depends: R (>= 4.1.0)
License: GPL (>= 3)
URL: https://github.com/axlehner/SpatialInference
BugReports: https://github.com/axlehner/SpatialInference/issues
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, sf, data.table, magrittr, stats, tibble
Suggests: lfe, fixest, dplyr, stringr, spdep, ncf, gstat, sandwich, ggplot2, modelsummary, knitr, rmarkdown, geosphere, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-21 03:46:39 UTC; alexanderlehner
Author: Alexander Lehner [aut, cre]
Maintainer: Alexander Lehner <alehner@worldbank.org>
Repository: CRAN
Date/Publication: 2026-03-25 20:50:23 UTC

More information about SpatialInference at CRAN
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Package rollama updated to version 0.3.0 with previous version 0.2.2 dated 2025-04-25

Title: Communicate with 'Ollama' to Run Large Language Models Locally
Description: Wraps the 'Ollama' <https://ollama.com> API, which can be used to communicate with generative large language models locally.
Author: Johannes B. Gruber [aut, cre] , Maximilian Weber [aut, ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

Diff between rollama versions 0.2.2 dated 2025-04-25 and 0.3.0 dated 2026-03-25

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New package reproresearchR with initial version 0.1.1
Package: reproresearchR
Title: Companion Package for 'Reproducible Research Using R'
Version: 0.1.1
Description: Provides teaching datasets and helper functions to support the open educational resource Martinez (2026) "Reproducible Research Using R" <doi:10.5281/zenodo.19136755>. The package includes datasets used throughout the book and utilities to list and copy chapter scripts shipped with the package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: rstudioapi
URL: https://martinezc1-reproducible-research-using-r.share.connect.posit.cloud/, https://github.com/martinezc1/reproresearchR
BugReports: https://github.com/martinezc1/reproresearchR/issues
NeedsCompilation: no
Packaged: 2026-03-20 23:09:45 UTC; christianmartinez
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-03-25 20:50:06 UTC

More information about reproresearchR at CRAN
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Package rdcor updated to version 1.1 with previous version 1.0 dated 2025-12-08

Title: Rank Distance Correlation Coefficient
Description: The rank distance correlation <doi:10.1080/01621459.2020.1782223> is computed. Included also is a function to perform permutation based testing.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between rdcor versions 1.0 dated 2025-12-08 and 1.1 dated 2026-03-25

 DESCRIPTION          |   11 ++++++-----
 MD5                  |    8 ++++----
 NAMESPACE            |    2 +-
 R/rdcor.test.R       |    4 ++--
 man/rdcor-package.Rd |    4 ++--
 5 files changed, 15 insertions(+), 14 deletions(-)

More information about rdcor at CRAN
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New package opensimplex2 with initial version 0.0.2
Package: opensimplex2
Title: Generate Multi-Dimensional Open Simplex Noise
Version: 0.0.2
Description: Generate 2, 3 or 4-dimensional gradient noise. The noise function is comparable to classic Perlin noise, but with less directional artefacts and lower computational overhead. It can have applications procedural generation or (flow fields) simulations.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: cpp11
Depends: R (>= 3.5.0)
Suggests: gifski, knitr, ragg, rmarkdown, testthat (>= 3.0.0)
URL: https://pepijn-devries.github.io/opensimplex2/, https://github.com/pepijn-devries/opensimplex2/
BugReports: https://github.com/pepijn-devries/opensimplex2/issues
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-03-21 00:26:33 UTC; vries171
Author: Pepijn de Vries [aut, cre] , Marco Ciaramella [aut, cph], KdotJPG [aut, cph]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Repository: CRAN
Date/Publication: 2026-03-25 20:50:12 UTC

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New package nowcast with initial version 0.1.0
Package: nowcast
Title: Economic Nowcasting with Bridge Equations and Real-Time Evaluation
Version: 0.1.0
Description: Provides bridge equations with optional autoregressive terms for nowcasting low-frequency macroeconomic variables (e.g. quarterly GDP) from higher-frequency indicators (e.g. monthly retail sales). Handles the ragged-edge problem where different indicators have different publication lags via mixed-frequency alignment. Includes pseudo-real-time evaluation with expanding or rolling windows, and the Diebold-Mariano test for comparing forecast accuracy following Harvey, Leybourne, and Newbold (1997) <doi:10.1016/S0169-2070(96)00719-4>. No API calls; designed to work with data from any source.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/charlescoverdale/nowcast
BugReports: https://github.com/charlescoverdale/nowcast/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), grDevices, graphics, stats
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-21 09:51:26 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-25 21:00:03 UTC

More information about nowcast at CRAN
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New package ksformat with initial version 0.3.5
Package: ksformat
Title: 'SAS'-Style 'PROC FORMAT' for R
Version: 0.3.5
Author: Vladimir Larchenko [aut, cre]
Maintainer: Vladimir Larchenko <vladimir.larchenko@keystatsolutions.com>
Description: Provides 'SAS' 'PROC FORMAT'-like functionality for creating and applying value formats in R. Supports mapping values to labels, range-based formatting, reverse formatting (invalue), and proper handling of missing values (NA, NULL, NaN).
License: GPL-3
Encoding: UTF-8
Imports: cli
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-21 11:00:11 UTC; meguty
Repository: CRAN
Date/Publication: 2026-03-25 21:00:10 UTC

More information about ksformat at CRAN
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Package gimme updated to version 0.9.4 with previous version 0.9.3 dated 2025-11-13

Title: Group Iterative Multiple Model Estimation
Description: Data-driven approach for arriving at person-specific time series models. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. See Gates & Molenaar (2012) <doi:10.1016/j.neuroimage.2012.06.026>.
Author: Stephanie Lane [aut, trl], Kathleen M Gates [aut, cre, ccp], Zachary Fisher [aut], Cara Arizmendi [aut], Peter Molenaar [aut, ccp], Edgar Merkle [ctb], Michael Hallquist [ctb], Hallie Pike [ctb], Teague Henry [ctb], Kelly Duffy [ctb], Lan Luo [ctb], [...truncated...]
Maintainer: Kathleen M Gates <gateskm@email.unc.edu>

Diff between gimme versions 0.9.3 dated 2025-11-13 and 0.9.4 dated 2026-03-25

 DESCRIPTION                  |    8 ++---
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New package ggforestplotR with initial version 0.1.0
Package: ggforestplotR
Title: Publication-Ready Forest Plots with 'ggplot2'
Version: 0.1.0
Description: Transform model coefficients into flexible forest plots using 'ggplot2'. Provides helpers to standardize coefficient data from a range of modelling workflows and render publication-ready forest plots with a consistent interface.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, patchwork, rlang
Suggests: broom, dplyr, knitr, rmarkdown, survival, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
URL: https://thatoneguy006.github.io/ggforestplotR/, https://github.com/thatoneguy006/ggforestplotR
BugReports: https://github.com/thatoneguy006/ggforestplotR/issues
NeedsCompilation: no
Packaged: 2026-03-21 02:18:40 UTC; Carso
Author: Carson Richardson [aut, cre, cph]
Maintainer: Carson Richardson <carson.richardson@outlook.com>
Repository: CRAN
Date/Publication: 2026-03-25 20:50:17 UTC

More information about ggforestplotR at CRAN
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New package fonctionr with initial version 0.5.1
Package: fonctionr
Title: Easy Estimation and Vizualisation of Indicators from Data with Complex Design
Version: 0.5.1
Description: Many functions to easily vizualise and estimate indicators such as proportions, means, medians and continuous/discrete distributions from complex survey data. The package also estimates confidence intervals for all indicators, compares different groups and computes different statistical tests.
License: GPL-3
URL: https://jgires.github.io/fonctionr/, https://github.com/jgires/fonctionr/
BugReports: https://github.com/jgires/fonctionr/issues
Depends: R (>= 4.1.0)
Imports: doParallel, dplyr, forcats, foreach, ggnewscale, ggplot2, ggtext, grDevices, rlang, scales, showtext, srvyr, stringr, survey, sysfonts, tibble, tidyr
Suggests: broom, colorspace, knitr, kableExtra, laeken, MetBrewer, openxlsx, patchwork, PrettyCols, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-21 12:40:34 UTC; 00104504
Author: Joel Gires [aut, cre, cph], Francois Ghesquiere [aut]
Maintainer: Joel Gires <joel.gires@vivalis.brussels>
Repository: CRAN
Date/Publication: 2026-03-25 21:00:16 UTC

More information about fonctionr at CRAN
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Package autotab updated to version 1.0 with previous version 0.1.3 dated 2026-02-08

Title: Variational Autoencoders for Heterogeneous Tabular Data
Description: Build and train a variational autoencoder (VAE) for mixed-type tabular data (continuous, binary, categorical). Models are implemented using 'TensorFlow' and 'Keras' via the 'reticulate' interface, enabling reproducible VAE training for heterogeneous tabular datasets.
Author: Sarah Milligan [aut, cre]
Maintainer: Sarah Milligan <slm1999@bu.edu>

Diff between autotab versions 0.1.3 dated 2026-02-08 and 1.0 dated 2026-03-25

 DESCRIPTION  |    6 ++--
 MD5          |   10 +++----
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Package arrow updated to version 23.0.1.2 with previous version 23.0.1.1 dated 2026-02-24

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut, cre], Bryce Mecum [aut], Dragoș Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Jacob Wujciak-Jens [aut], Javier Luraschi [ctb], [...truncated...]
Maintainer: Jonathan Keane <jkeane@gmail.com>

Diff between arrow versions 23.0.1.1 dated 2026-02-24 and 23.0.1.2 dated 2026-03-25

 arrow-23.0.1.1/arrow/tools/cpp/CMakeLists.txt-e         |only
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More information about arrow at CRAN
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Package risk.assessr updated to version 3.1.0 with previous version 3.0.1 dated 2025-12-01

Title: Assessing Package Risk Metrics
Description: A reliable and validated tool that captures detailed risk metrics such as R 'CMD' check, test coverage, traceability matrix, documentation, dependencies, reverse dependencies, suggested dependency analysis, repository data, and enhanced reporting for R packages that are local or stored on remote repositories such as GitHub, CRAN, and Bioconductor.
Author: Edward Gillian [cre, aut] , Hugo Bottois [aut] , Paulin Charliquart [aut], Andre Couturier [aut], Sanofi [cph, fnd]
Maintainer: Edward Gillian <edward.gillian-ext@sanofi.com>

Diff between risk.assessr versions 3.0.1 dated 2025-12-01 and 3.1.0 dated 2026-03-25

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Package OhdsiReportGenerator updated to version 2.1.0 with previous version 2.0.2 dated 2025-12-17

Title: Observational Health Data Sciences and Informatics Report Generator
Description: Extract results into R from the Observational Health Data Sciences and Informatics result database (see <https://ohdsi.github.io/Strategus/results-schema/index.html>) and generate reports/presentations via 'quarto' that summarize results in HTML format. Learn more about 'OhdsiReportGenerator' at <https://ohdsi.github.io/OhdsiReportGenerator/>.
Author: Jenna Reps [aut, cre], Anthony Sena [aut]
Maintainer: Jenna Reps <jreps@its.jnj.com>

Diff between OhdsiReportGenerator versions 2.0.2 dated 2025-12-17 and 2.1.0 dated 2026-03-25

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Package TwoTimeScales updated to version 1.2.0 with previous version 1.0.0 dated 2024-12-23

Title: Analysis of Event Data with Two Time Scales
Description: Analyse time to event data with two time scales by estimating a smooth hazard that varies over two time scales. If covariates are available, estimate a proportional hazards model with such a two-dimensional baseline hazard. Functions are provided to prepare the raw data for estimation, to fit the model and to plot the two-dimensional smooth hazard. Extension to a competing risks model are implemented. For details about the method please refer to Carollo et al. (2025) <doi:10.1002/sim.10297>.
Author: Angela Carollo [aut, cre, cph] , Paul H.C. Eilers [aut], Jutta Gampe [aut]
Maintainer: Angela Carollo <carollo@demogr.mpg.de>

Diff between TwoTimeScales versions 1.0.0 dated 2024-12-23 and 1.2.0 dated 2026-03-25

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Package randomForestSRC updated to version 3.6.0 with previous version 3.5.1 dated 2026-02-12

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between randomForestSRC versions 3.5.1 dated 2026-02-12 and 3.6.0 dated 2026-03-25

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Package fertilmodel updated to version 1.5 with previous version 1.4 dated 2024-11-29

Title: Fertility Models
Description: Four fertility models are fitted using non-linear least squares. These are the Hadwiger, the Gamma, the Model1 and Model2, following the terminology of the following paper: Peristera P. and Kostaki A. (2007). "Modeling fertility in modern populations". Demographic Research, 16(6): 141--194. <doi:10.4054/DemRes.2007.16.6>. Model based averaging is also supported.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between fertilmodel versions 1.4 dated 2024-11-29 and 1.5 dated 2026-03-25

 DESCRIPTION                |   10 +++++-----
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Package rcheology updated to version 4.5.3.0 with previous version 4.5.2.0 dated 2025-11-16

Title: Data on Base and Recommended Packages for Current and Previous Versions of R
Description: Provides a dataset of functions in all base and recommended packages of R versions 0.50 onwards.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between rcheology versions 4.5.2.0 dated 2025-11-16 and 4.5.3.0 dated 2026-03-25

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Package PhenotypeR updated to version 0.3.4 with previous version 0.3.3 dated 2026-02-23

Title: Assess Study Cohorts Using a Common Data Model
Description: Phenotype study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model. Diagnostics are run at the database, code list, cohort, and population level to assess whether study cohorts are ready for research.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Xihang Chen [aut] , Marta Alcalde-Herraiz [aut] , Nuria Mercade-Besora [aut] , Albert Prats-Uribe [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package grates updated to version 1.8.0 with previous version 1.7.2 dated 2026-02-27

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package bsitar updated to version 0.3.3 with previous version 0.3.2 dated 2025-02-07

Title: Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis
Description: The Super Imposition by Translation and Rotation (SITAR) model is a shape-invariant nonlinear mixed effect model that fits a natural cubic spline mean curve to the growth data and aligns individual-specific growth curves to the underlying mean curve via a set of random effects (see Cole, 2010 <doi:10.1093/ije/dyq115> for details). The non-Bayesian version of the SITAR model can be fit by using the already available R package 'sitar'. Unlike the 'sitar' package which allows modelling of a single outcome only, the 'bsitar' package offers great flexibility in fitting models of varying complexities, including joint modelling of multiple outcomes such as height and weight (multivariate model). Additionally, the 'bsitar' package allows for the simultaneous analysis of an outcome separately for subgroups defined by a factor variable such as gender. This is achieved by fitting separate models for each subgroup (for example males and females for gender variable). An advantage of this appr [...truncated...]
Author: Satpal Sandhu [aut, cre, cph]
Maintainer: Satpal Sandhu <satpal.sandhu@bristol.ac.uk>

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Package ag5Tools updated to version 0.0.3 with previous version 0.0.2 dated 2023-10-12

Title: Toolbox for Downloading and Extracting Copernicus AgERA5 Data
Description: Tools for downloading and extracting data from the Copernicus "Agrometeorological indicators from 1979 to present derived from reanalysis" <https://cds.climate.copernicus.eu/datasets/sis-agrometeorological-indicators?tab=overview> (AgERA5).
Author: David Brown [aut, cre] , Kaue de Sousa [ctb] , Jacob van Etten [ths] , Sytze de Bruin [ths]
Maintainer: David Brown <db877@cornell.edu>

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