Wed, 25 Mar 2026

Package dream updated to version 1.1.1 with previous version 1.0.1 dated 2026-02-07

Title: Dynamic Relational Event Analysis and Modeling
Description: A set of tools for relational and event analysis, including two- and one-mode network brokerage and structural measures, and helper functions optimized for relational event analysis with large datasets, including creating relational risk sets, computing network statistics, estimating relational event models, and simulating relational event sequences. For more information on relational event models, see Butts (2008) <doi:10.1111/j.1467-9531.2008.00203.x>, Lerner and Lomi (2020) <doi:10.1017/nws.2019.57>, Bianchi et al. (2024) <doi:10.1146/annurev-statistics-040722-060248>, and Butts et al. (2023) <doi:10.1017/nws.2023.9>. In terms of the structural measures in this package, see Leal (2025) <doi:10.1177/00491241251322517>, Burchard and Cornwell (2018) <doi:10.1016/j.socnet.2018.04.001>, and Fujimoto et al. (2018) <doi:10.1017/nws.2018.11>. This package was developed with support from the National Science Foundation’s (NSF) Human Networks and Data [...truncated...]
Author: Kevin A. Carson [aut, cre] , Diego F. Leal [aut]
Maintainer: Kevin A. Carson <kacarson@arizona.edu>

Diff between dream versions 1.0.1 dated 2026-02-07 and 1.1.1 dated 2026-03-25

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 100 files changed, 2505 insertions(+), 171 deletions(-)

More information about dream at CRAN
Permanent link

Tue, 24 Mar 2026

Package tuber updated to version 1.4.0 with previous version 1.1.0 dated 2025-08-24

Title: Client for the YouTube API
Description: Get comments posted on YouTube videos, information on how many times a video has been liked, search for videos with particular content, and much more. You can also scrape captions from a few videos. To learn more about the YouTube API, see <https://developers.google.com/youtube/v3/>.
Author: Gaurav Sood [aut, cre], Kate Lyons [ctb], John Muschelli [ctb]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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Package Riemann updated to version 0.1.7 with previous version 0.1.6 dated 2025-09-26

Title: Learning with Data on Riemannian Manifolds
Description: We provide a variety of algorithms for manifold-valued data, including Fréchet summaries, hypothesis testing, clustering, visualization, and other learning tasks. See Bhattacharya and Bhattacharya (2012) <doi:10.1017/CBO9781139094764> for general exposition to statistics on manifolds.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package bigPCAcpp updated to version 0.9.1 with previous version 0.9.0 dated 2025-10-20

Title: Principal Component Analysis for 'bigmemory' Matrices
Description: High performance principal component analysis routines that operate directly on bigmemory::big.matrix() objects. The package avoids materialising large matrices in memory by streaming data through 'BLAS' and 'LAPACK' kernels and provides helpers to derive scores, loadings, correlations, and contribution diagnostics, including utilities that stream results into 'bigmemory'-backed matrices for file-based workflows. Additional interfaces expose 'scalable' singular value decomposition, robust PCA, and robust SVD algorithms so that users can explore large matrices while tempering the influence of outliers. 'Scalable' principal component analysis is also implemented, Elgamal, Yabandeh, Aboulnaga, Mustafa, and Hefeeda (2015) <doi:10.1145/2723372.2751520>.
Author: Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package plsRbeta updated to version 0.3.3 with previous version 0.3.2 dated 2025-09-20

Title: Partial Least Squares Regression for Beta Regression Models
Description: Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <https://ojs-test.apps.ocp.math.cnrs.fr/index.php/J-SFdS/article/view/215>) and k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package StratifiedMedicine updated to version 1.0.7 with previous version 1.0.5 dated 2022-03-29

Title: Stratified Medicine
Description: A toolkit for stratified medicine, subgroup identification, and precision medicine. Current tools include (1) filtering models (reduce covariate space), (2) patient-level estimate models (counterfactual patient-level quantities, such as the conditional average treatment effect), (3) subgroup identification models (find subsets of patients with similar treatment effects), and (4) treatment effect estimation and inference (for the overall population and discovered subgroups). These tools can be customized and are directly used in PRISM (patient response identifiers for stratified medicine; Jemielita and Mehrotra 2019 <doi:10.48550/arXiv.1912.03337>).
Author: Thomas Jemielita [aut, cre]
Maintainer: Thomas Jemielita <thomasjemielita@gmail.com>

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Package spatialAtomizeR updated to version 0.2.8 with previous version 0.2.7 dated 2026-03-08

Title: Spatial Analysis with Misaligned Data Using Atom-Based Regression Models
Description: Implements atom-based regression models (ABRM) for analyzing spatially misaligned data. Provides functions for simulating misaligned spatial data, preparing NIMBLE model inputs, running MCMC diagnostics, and providing results. All main functions return S3 objects with print(), summary(), and plot() methods for intuitive result exploration. Methods originally described in Mugglin et al. (2000) <doi:10.1080/01621459.2000.10474279>, further investigated in Trevisani & Gelfand (2013), and applied in Nethery et al. (2023) <doi:10.1101/2023.01.10.23284410>.
Author: Yunzhe Qian [aut, cre], Rachel Nethery [aut], Nancy Krieger [ctb] , Nykesha Johnson [ctb]
Maintainer: Yunzhe Qian <qyzanemos@gmail.com>

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Package c060 updated to version 0.5-0 with previous version 0.4-0 dated 2025-09-19

Title: Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models
Description: The c060 package provides additional functions to perform stability selection, model validation and parameter tuning for glmnet models.
Author: Martin Sill [aut], Thomas Hielscher [aut], Manuela Zucknick [aut], Natalia Becker [aut], Frederic Bertrand [cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package gmfamm updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-18

Title: Generalized Multivariate Functional Additive Models
Description: Supply implementation to model generalized multivariate functional data using Bayesian additive mixed models of R package 'bamlss' via a latent Gaussian process (see Umlauf, Klein, Zeileis (2018) <doi:10.1080/10618600.2017.1407325>).
Author: Nikolaus Umlauf [aut] , Alexander Volkmann [aut, cre]
Maintainer: Alexander Volkmann <alexandervolkmann8@gmail.com>

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Package Fiscal updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-16

Title: Income Tax Calculations (UK)
Description: Income tax calculations for England, Northern Ireland and Wales. Estimate annual income tax within the different taxation bands at specified levels of both taxable income and the Personal Allowance, emulating the results obtained at <https://www.gov.uk/estimate-income-tax>. Calculate the standard Personal Allowance at various levels of taxable income. Estimate the personal allowance required to recoup a specified amount of income tax.
Author: Mark Eisler [aut, cre, cph]
Maintainer: Mark Eisler <mark@markeisler.com>

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Package bayesMeanScale updated to version 0.2.2 with previous version 0.2.1 dated 2025-01-08

Title: Bayesian Post-Estimation on the Mean Scale
Description: Computes Bayesian posterior distributions of predictions, marginal effects, and differences of marginal effects for various generalized linear models. Importantly, the posteriors are on the mean (response) scale, allowing for more natural interpretation than summaries on the link scale. Also, predictions and marginal effects of the count probabilities for Poisson and negative binomial models can be computed.
Author: David M. Dalenberg [aut, cre]
Maintainer: David M. Dalenberg <dalenbe2@gmail.com>

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Package plsdof updated to version 0.5-0 with previous version 0.4-0 dated 2025-09-13

Title: Degrees of Freedom and Statistical Inference for Partial Least Squares Regression
Description: The plsdof package provides Degrees of Freedom estimates for Partial Least Squares (PLS) Regression. Model selection for PLS is based on various information criteria (aic, bic, gmdl) or on cross-validation. Estimates for the mean and covariance of the PLS regression coefficients are available. They allow the construction of approximate confidence intervals and the application of test procedures (Kramer and Sugiyama 2012 <doi:10.1198/jasa.2011.tm10107>). Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.
Author: Nicole Kraemer [aut], Mikio L. Braun [aut], Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package meteo updated to version 2.0-4 with previous version 2.0-3 dated 2024-04-18

Title: RFSI & STRK Interpolation for Meteo and Environmental Variables
Description: Random Forest Spatial Interpolation (RFSI, Sekulić et al. (2020) <doi:10.3390/rs12101687>) and spatio-temporal geostatistical (spatio-temporal regression Kriging (STRK)) interpolation for meteorological (Kilibarda et al. (2014) <doi:10.1002/2013JD020803>, Sekulić et al. (2020) <doi:10.1007/s00704-019-03077-3>) and other environmental variables. Contains global spatio-temporal models calculated using publicly available data.
Author: Milan Kilibarda [aut] , Aleksandar Sekulic [aut, cre] , Tomislav Hengl [ctb], Edzer Pebesma [ctb], Benedikt Graeler [ctb]
Maintainer: Aleksandar Sekulic <asekulic@grf.bg.ac.rs>

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Package geobounds updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-11

Title: Download Map Data from 'geoBoundaries'
Description: Tools to download data from 'geoBoundaries' <https://www.geoboundaries.org/>. Several administration levels available. See Runfola, D. et al. (2020) geoBoundaries: A global database of political administrative boundaries. PLOS ONE 15(4): 1-9. <doi:10.1371/journal.pone.0231866>.
Author: Diego Hernangomez [aut, cre, cph] , William and Mary geoLab [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package micss updated to version 0.3.1 with previous version 0.3.0 dated 2026-03-17

Title: Modified Iterative Cumulative Sum of Squares Algorithm
Description: Companion package of Carrion-i-Silvestre & Sansó (2026): "Testing for Constant Unconditional Variance in Heavy-Tailed Time Series". It implements the Modified Iterative Cumulative Sum of Squares Algorithm, which is an extension of the Iterative Cumulative Sum of Squares (ICSS) Algorithm of Inclan and Tiao (1994), and it checks for changes in the unconditional variance of a time series controlling for the tail index of the underlying distribution. The fourth order moment is estimated non-parametrically to avoid the size problems when the innovations are non-Gaussian (see, Sansó et al., 2004). Critical values and p-values are generated using a Generalized Extreme Value distribution approach. References Carrion-i-Silvestre J.J & Sansó A (2026) <doi:10.1080/03610918.2026.2615207>. Inclan C & Tiao G.C (1994) <doi:10.1080/01621459.1994.10476824>, Sansó A & Aragó V & Carrion-i-Silvestre J.L (2004) <https://dspace.uib.es/xmlui/bitstream/handle/11201/152078/52 [...truncated...]
Author: Josep Lluis Carrion-i-Silvestre [aut], Andreu Sanso [aut, cre]
Maintainer: Andreu Sanso <andreu.sanso@uib.eu>

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Package mascarade updated to version 0.3.3 with previous version 0.3.2 dated 2026-03-06

Title: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
Description: Implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>

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Package FDboost updated to version 1.1-4 with previous version 1.1-3 dated 2025-08-23

Title: Boosting Functional Regression Models
Description: Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.
Author: Sarah Brockhaus [aut] , David Ruegamer [aut, cre] , Almond Stoecker [aut] , Torsten Hothorn [ctb] , with contributions by many others [ctb]
Maintainer: David Ruegamer <david.ruegamer@gmail.com>

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Package threshr updated to version 1.0.8 with previous version 1.0.7 dated 2025-10-08

Title: Threshold Selection and Uncertainty for Extreme Value Analysis
Description: Provides functions for the selection of thresholds for use in extreme value models, based mainly on the methodology in Northrop, Attalides and Jonathan (2017) <doi:10.1111/rssc.12159>. It also performs predictive inferences about future extreme values, based either on a single threshold or on a weighted average of inferences from multiple thresholds, using the 'revdbayes' package <https://cran.r-project.org/package=revdbayes>. At the moment only the case where the data can be treated as independent identically distributed observations is considered.
Author: Paul J. Northrop [aut, cre, cph], Nicolas Attalides [aut]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package scpropreg updated to version 1.1 with previous version 1.0 dated 2025-11-20

Title: Simplicially Constrained Regression Models for Proportions
Description: Simplicially constrained regression models for proportions in both sides. The constraint is always that the betas are non-negative and sum to 1. References: Iverson S.J.., Field C., Bowen W.D. and Blanchard W. (2004) "Quantitative Fatty Acid Signature Analysis: A New Method of Estimating Predator Diets". Ecological Monographs, 74(2): 211-235. <doi:10.1890/02-4105>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package robustmatrix updated to version 0.1.5 with previous version 0.1.4 dated 2025-05-14

Title: Robust Matrix-Variate Parameter Estimation
Description: Robust covariance estimation for matrix-valued data and data with Kronecker-covariance structure using the Matrix Minimum Covariance Determinant (MMCD) estimators and outlier explanation using and Shapley values.
Author: Marcus Mayrhofer [aut, cre], Una Radojicic [aut], Peter Filzmoser [aut]
Maintainer: Marcus Mayrhofer <marcus.mayrhofer@tuwien.ac.at>

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Package MultiBD updated to version 1.0.2 with previous version 1.0.1 dated 2026-02-12

Title: Multivariate Birth-Death Processes
Description: Computationally efficient functions to provide direct likelihood-based inference for partially-observed multivariate birth-death processes. Such processes range from a simple Yule model to the complex susceptible-infectious-removed model in disease dynamics. Efficient likelihood evaluation facilitates maximum likelihood estimation and Bayesian inference.
Author: Lam S.T. Ho [aut], Marc A. Suchard [aut, cre], Forrest W. Crawford [aut], Jason Xu [ctb], Vladimir N. Minin [ctb]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

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Package openscoring updated to version 1.1.0 with previous version 1.0.6 dated 2026-02-11

Title: 'Open Scoring' API Client
Description: Creativity research involves the need to score open-ended problems. Usually done by humans, automatic scoring using AI becomes more and more accurate. This package provides a simple interface to the 'Open Scoring' API <https://openscoring.du.edu/docs>, leading creativity scoring technology by Organiscak et al. (2023) <doi:10.1016/j.tsc.2023.101356>. With it, you can score your own data directly from an R script.
Author: Jakub Jedrusiak [aut, cre, cph] , Peter Organisciak [ctb] , Selcuk Acar [ctb] , Denis Dumas [ctb] , Pier-Luc de Chantal [ctb] , Kelly Berthiaume [ctb]
Maintainer: Jakub Jedrusiak <jakub.jedrusiak2@uwr.edu.pl>

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Package toscca updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-07

Title: Thresholded Ordered Sparse CCA
Description: Performs Thresholded Ordered Sparse Canonical Correlation Analysis (CCA). For more details see Senar, N. (2024) <doi:10.1093/bioadv/vbae021> and Senar, N. et al. (2025) <doi:10.48550/arXiv.2503.15140>.
Author: Nuria Senar [aut, cre]
Maintainer: Nuria Senar <n.senarvilladeamigo@amsterdamumc.nl>

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Package qgcomp updated to version 2.18.10 with previous version 2.18.7 dated 2025-08-20

Title: Quantile G-Computation
Description: G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <alex.keil@nih.gov>

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Package multiDEGGs updated to version 1.2.0 with previous version 1.1.3 dated 2026-02-02

Title: Multi-Omic Differentially Expressed Gene-Gene Pairs
Description: Performs multi-omic differential network analysis by revealing differential interactions between molecular entities (genes, proteins, transcription factors, or other biomolecules) across the omic datasets provided. For each omic dataset, a differential network is constructed where links represent statistically significant differential interactions between entities. These networks are then integrated into a comprehensive visualization using distinct colors to distinguish interactions from different omic layers. This unified display allows interactive exploration of cross-omic patterns, such as differential interactions present at both transcript and protein levels. For each link, users can access differential statistical significance metrics (p values or adjusted p values, calculated via robust or traditional linear regression with interaction term) and differential regression plots. The methods implemented in this package are described in Sciacca et al. (2023) <doi:10.1093/bioinform [...truncated...]
Author: Elisabetta Sciacca [aut, cre, cph] , Myles Lewis [ctb]
Maintainer: Elisabetta Sciacca <e.sciacca@qmul.ac.uk>

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Package cols updated to version 1.6 with previous version 1.5 dated 2024-12-20

Title: Constrained Ordinary Least Squares
Description: Constrained ordinary least squares is performed. One constraint is that all beta coefficients (including the constant) cannot be negative. They can be either 0 or strictly positive. Another constraint is that the sum of the beta coefficients equals a constant. References: Hansen, B. E. (2022). Econometrics, Princeton University Press. <ISBN:9780691235899>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package tidyaudit updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-27

Title: Pipeline Audit Trails and Data Diagnostics for 'tidyverse' Workflows
Description: Provides pipeline audit trails and data diagnostics for 'tidyverse' workflows. The audit trail system captures lightweight metadata snapshots at each step of a pipeline, building a structured record without storing the data itself. Operation-aware taps enrich snapshots with join match rates and filter drop statistics. Trails can be serialized to 'JSON' or 'RDS' and exported as self-contained 'HTML' visualizations. Also includes diagnostic functions for interactive data analysis including frequency tables, string quality auditing, and data comparison.
Author: Fernando Cordeiro [aut, cre, cph]
Maintainer: Fernando Cordeiro <fernandolpcordeiro@gmail.com>

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Package plsRcox updated to version 1.8.2 with previous version 1.8.1 dated 2026-02-28

Title: Partial Least Squares Regression for Cox Models and Related Techniques
Description: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Bioinformatics, 31(3):397-404. Cross validation criteria were studied in <doi:10.48550/arXiv.1810.02962>, Bertrand, F., Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data.
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package eq5dsuite updated to version 1.0.2 with previous version 1.0.1 dated 2025-06-24

Title: Handling and Analysing EQ-5d Data
Description: The EQ-5D is a widely-used standarized instrument for measuring Health Related Quality Of Life (HRQOL), developed by the EuroQol group <https://euroqol.org/>. It assesses five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression, using either a three-level (EQ-5D-3L) or five-level (EQ-5D-5L) scale. Scores from these dimensions are commonly converted into a single utility index using country-specific value sets, which are critical in clinical and economic evaluations of healthcare and in population health surveys. The eq5dsuite package enables users to calculate utility index values for the EQ-5D instruments, including crosswalk utilities using the original crosswalk developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008> (mapping EQ-5D-5L responses to EQ-5D-3L index values), or the recently developed reverse crosswalk by van Hout et al. (2021) <doi:10.1016/j.jval.2021.03.009> (mapping EQ-5D-3L responses to EQ-5D-5L in [...truncated...]
Author: Kim Rand [aut, cre] , Oliver Rivero-Arias [aut] , Iryna Schlackow [aut] , Anabel Estevez-Carrillo [aut]
Maintainer: Kim Rand <krand@mathsinhealth.com>

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Package bigalgebra updated to version 3.1.0 with previous version 3.0.0 dated 2025-10-05

Title: 'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects
Description: Provides arithmetic functions for R matrix and 'big.matrix' objects as well as functions for QR factorization, Cholesky factorization, General eigenvalue, and Singular value decomposition (SVD). A method matrix multiplication and an arithmetic method -for matrix addition, matrix difference- allows for mixed type operation -a matrix class object and a big.matrix class object- and pure type operation for two big.matrix class objects.
Author: Frederic Bertrand [cre, aut] , Michael J. Kane [aut], Bryan Lewis [aut], John W. Emerson [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package multilevLCA updated to version 2.1.4 with previous version 2.1.2 dated 2025-11-06

Title: Estimates and Plots Single-Level and Multilevel Latent Class Models
Description: Efficiently estimates single- and multilevel latent class models with covariates, allowing for output visualization in all specifications. For more technical details, see Lyrvall et al. (2025) <doi:10.1080/00273171.2025.2473935>.
Author: Roberto Di Mari [aut, cre], Johan Lyrvall [aut], Zsuzsa Bakk [ctb], Jennifer Oser [ctb], Jouni Kuha [ctb]
Maintainer: Roberto Di Mari <roberto.dimari@unict.it>

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Package RPIV updated to version 1.1.0 with previous version 1.0.0 dated 2025-10-19

Title: Residual Prediction Tests for Well-Specification of Instrumental Variable Models
Description: Two tests for the well-specification of the linear instrumental variable model. The first test is based on trying to predict the residuals of a two-stage least-squares regression using a random forest. The second test is robust to weak-identification and based on trying to predict the residuals for a particular candidate parameter and can also be used to construct confidence sets with an Anderson-Rubin-type inversion. Details can be found in Scheidegger, Londschien and Bühlmann (2025) "Machine-learning-powered specification testing in linear instrumental variable models" <doi:10.48550/arXiv.2506.12771>.
Author: Cyrill Scheidegger [aut, cre, cph]
Maintainer: Cyrill Scheidegger <cyrill.scheidegger@stat.math.ethz.ch>

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Package resourcer updated to version 1.5.1 with previous version 1.5.0 dated 2026-02-06

Title: Resource Resolver
Description: A resource represents some data or a computation unit. It is described by a URL and credentials. This package proposes a Resource model with "resolver" and "client" classes to facilitate the access and the usage of the resources.
Author: Yannick Marcon [aut, cre] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between resourcer versions 1.5.0 dated 2026-02-06 and 1.5.1 dated 2026-03-24

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Package gibasa updated to version 1.1.3 with previous version 1.1.2 dated 2025-02-16

Title: An Alternative 'Rcpp' Wrapper of 'MeCab'
Description: A plain 'Rcpp' wrapper for 'MeCab' that can segment Chinese, Japanese, and Korean text into tokens. The main goal of this package is to provide an alternative to 'tidytext' using morphological analysis.
Author: Akiru Kato [aut, cre], Shogo Ichinose [aut], Taku Kudo [aut], Jorge Nocedal [ctb], Nippon Telegraph and Telephone Corporation [cph]
Maintainer: Akiru Kato <paithiov909@gmail.com>

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Package bigergm updated to version 1.2.6 with previous version 1.2.5 dated 2025-10-05

Title: Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks
Description: A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).'bigergm' implements the estimation for large networks efficiently building on the 'lighthergm' and 'hergm' packages. Moreover, the package contains tools for simulating networks with local dependence to assess the goodness-of-fit.
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut], Shota Komatsu [aut], Juan Nelson Martinez Dahbura [aut], Takanori Nishida [aut], Angelo Mele [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>

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Package vbracket updated to version 1.3.2 with previous version 1.3.0 dated 2026-03-16

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 <h20gg702@outlook.jp>

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Package tirt updated to version 0.3.1 with previous version 0.3.0 dated 2026-03-18

Title: Testlet Item Response Theory
Description: Implementation of Testlet and Item Response Theory. A light-version yet comprehensive and streamlined framework for psychometric analysis using unidimensional and multidimensional Item Response Theory (IRT; Baker & Kim (2004) <doi:10.1201/9781482276725>) and Testlet Response Theory (TRT; Wainer et al., (2007) <doi:10.1017/CBO9780511618765>). Designed for researchers, this package supports the estimation of item and person parameters for a wide variety of models, including binary (i.e., Rasch, 2-Parameter Logistic, 3-Parameter Logistic) and polytomous (Partial Credit Model, Generalized Partial Credit Model, Graded Response Model) formats. It also supports the estimation of Testlet models (Rasch Testlet, 2-Parameter Logistic Testlet, 3-Parameter Logistic Testlet, Bifactor, Partial Credit Model Testlet, Graded Response), allowing users to account for local item dependence in bundled items. A key feature is the specialized support for combination use and joint estimation of [...truncated...]
Author: Jiawei Xiong [aut, cre], Cheng Tang [ctb], Qidi Liu [ctb]
Maintainer: Jiawei Xiong <jiawei.xiong@uga.edu>

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Package runMCMCbtadjust readmission to version 1.1.3 with previous version 1.1.2 dated 2024-08-28

Title: Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters
Description: The function runMCMC_btadjust() returns a mcmc.list object which is the output of a Markov Chain Monte Carlo obtained - from either 'JAGS', 'nimble' or 'greta' - after adjusting burn-in and thinning parameters to meet pre-specified criteria in terms of convergence & effective sample size. Used with 'nimble', runMCMC_btadjust() allows extra calculations (e.g. information criteria for model comparison and goodness-of-fit p-values for model diagnosis).
Author: Frederic Gosselin [cre, aut] , Institut national de recherche pour l'agriculture, l'alimentation et l'environnement [cph]
Maintainer: Frederic Gosselin <frederic.gosselin@inrae.fr>

This is a re-admission after prior archival of version 1.1.2 dated 2024-08-28

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Package PwePred updated to version 1.1.1 with previous version 1.1.0 dated 2026-03-21

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 1.1.0 dated 2026-03-21 and 1.1.1 dated 2026-03-24

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Package plsdepot updated to version 0.3.1 with previous version 0.3.0 dated 2025-09-26

Title: Partial Least Squares (PLS) Data Analysis Methods
Description: Different methods for PLS analysis of one or two data tables such as Tucker's Inter-Battery, NIPALS, SIMPLS, SIMPLS-CA, PLS Regression, and PLS Canonical Analysis. The main reference for this software is the awesome book (in French) 'La Regression PLS: Theorie et Pratique' by Michel Tenenhaus.
Author: Frederic Bertrand [cre] , Gaston Sanchez [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package icecdr updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-16

Title: Download Sea Ice Concentration Data from the NSIDC Climate Data Record
Description: Programmatic access to NSIDC's sea ice concentration CDR versions 4 and 5 <https://nsidc.org/data/g02135/versions/4> via its ERDAPP server and Sea Ice index <https://nsidc.org/data/g02135/versions/4>. Supports caching results and optional fixes for some inconsistencies of the raw files.
Author: Elio Campitelli [cre, aut, cph]
Maintainer: Elio Campitelli <eliocampitelli@gmail.com>

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Package hoopR updated to version 3.0.0 with previous version 2.1.0 dated 2023-11-25

Title: Access Men's Basketball Play by Play Data
Description: A utility to quickly obtain clean and tidy men's basketball play by play data. Provides functions to access live play by play and box score data from ESPN<https://www.espn.com> with shot locations when available. It is also a full NBA Stats API<https://www.nba.com/stats/> wrapper. It is also a scraping and aggregating interface for Ken Pomeroy's men's college basketball statistics website<https://kenpom.com>. It provides users with an active subscription the capability to scrape the website tables and analyze the data for themselves.
Author: Saiem Gilani [aut, cre] , Jason Lee [ctb], Billy Fryer [ctb], Ross Drucker [ctb], Vladislav Shufinskiy [ctb]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>

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 man/espn_nba_teams.Rd                                       |    3 
 man/espn_nba_wp.Rd                                          |    3 
 man/hoopR-package.Rd                                        |    2 
 man/kp_arenas.Rd                                            |    2 
 man/kp_box.Rd                                               |    2 
 man/kp_coach_history.Rd                                     |    2 
 man/kp_confhistory.Rd                                       |    2 
 man/kp_confstats.Rd                                         |    2 
 man/kp_efficiency.Rd                                        |    2 
 man/kp_fanmatch.Rd                                          |    2 
 man/kp_foul_trouble.Rd                                      |    2 
 man/kp_fourfactors.Rd                                       |    2 
 man/kp_game_attrs.Rd                                        |    2 
 man/kp_hca.Rd                                               |    2 
 man/kp_height.Rd                                            |    2 
 man/kp_kpoy.Rd                                              |    2 
 man/kp_officials.Rd                                         |    2 
 man/kp_playerstats.Rd                                       |    2 
 man/kp_pointdist.Rd                                         |    2 
 man/kp_pomeroy_archive_ratings.Rd                           |    2 
 man/kp_pomeroy_ratings.Rd                                   |    2 
 man/kp_program_ratings.Rd                                   |    2 
 man/kp_referee.Rd                                           |    2 
 man/kp_team_history.Rd                                      |    2 
 man/kp_team_players.Rd                                      |    2 
 man/kp_teamstats.Rd                                         |    2 
 man/kp_trends.Rd                                            |    2 
 man/kp_user_pw.Rd                                           |    3 
 man/kp_winprob.Rd                                           |    2 
 man/load_nba_pbp.Rd                                         |    2 
 man/load_nba_player_box.Rd                                  |    2 
 man/load_nba_schedule.Rd                                    |    2 
 man/load_nba_team_box.Rd                                    |    2 
 man/nba_alltimeleadersgrids.Rd                              |    2 
 man/nba_assistleaders.Rd                                    |    2 
 man/nba_assisttracker.Rd                                    |    2 
 man/nba_boxscoreadvancedv3.Rd                               |  443 +-
 man/nba_boxscoredefensivev2.Rd                              |  315 -
 man/nba_boxscorefourfactorsv2.Rd                            |    6 
 man/nba_boxscorefourfactorsv3.Rd                            |  329 -
 man/nba_boxscorehustlev2.Rd                                 |  357 -
 man/nba_boxscorematchupsv3.Rd                               |  329 -
 man/nba_boxscoremiscv2.Rd                                   |    6 
 man/nba_boxscoremiscv3.Rd                                   |  359 -
 man/nba_boxscoreplayertrackv2.Rd                            |    6 
 man/nba_boxscoreplayertrackv3.Rd                            |  419 +-
 man/nba_boxscorescoringv2.Rd                                |    6 
 man/nba_boxscorescoringv3.Rd                                |  383 +-
 man/nba_boxscoresummaryv3.Rd                                |only
 man/nba_boxscoretraditionalv3.Rd                            |  675 +--
 man/nba_boxscoreusagev2.Rd                                  |    6 
 man/nba_boxscoreusagev3.Rd                                  |  407 +-
 man/nba_commonallplayers.Rd                                 |    3 
 man/nba_commonplayerinfo.Rd                                 |    3 
 man/nba_commonteamroster.Rd                                 |    3 
 man/nba_commonteamyears.Rd                                  |only
 man/nba_cumestatsplayer.Rd                                  |    4 
 man/nba_cumestatsplayergames.Rd                             |    4 
 man/nba_cumestatsteam.Rd                                    |    2 
 man/nba_cumestatsteamgames.Rd                               |    2 
 man/nba_data_pbp.Rd                                         |    3 
 man/nba_defensehub.Rd                                       |    2 
 man/nba_dunkscoreleaders.Rd                                 |only
 man/nba_fantasywidget.Rd                                    |    4 
 man/nba_franchisehistory.Rd                                 |    2 
 man/nba_franchiseplayers.Rd                                 |    4 
 man/nba_gravityleaders.Rd                                   |only
 man/nba_homepageleaders.Rd                                  |    8 
 man/nba_homepagev2.Rd                                       |    8 
 man/nba_hustlestatsboxscore.Rd                              |    6 
 man/nba_infographicfanduelplayer.Rd                         |  220 -
 man/nba_iststandings.Rd                                     |only
 man/nba_leaderstiles.Rd                                     |    8 
 man/nba_leaguedashlineups.Rd                                |    3 
 man/nba_leaguedashoppptshot.Rd                              |    3 
 man/nba_leaguedashplayerbiostats.Rd                         |    9 
 man/nba_leaguedashplayerclutch.Rd                           |    9 
 man/nba_leaguedashplayerptshot.Rd                           |    3 
 man/nba_leaguedashplayershotlocations.Rd                    |    9 
 man/nba_leaguedashplayerstats.Rd                            |    9 
 man/nba_leaguedashptdefend.Rd                               |    3 
 man/nba_leaguedashptstats.Rd                                |    3 
 man/nba_leaguedashptteamdefend.Rd                           |    3 
 man/nba_leaguedashteamclutch.Rd                             |    3 
 man/nba_leaguedashteamptshot.Rd                             |    3 
 man/nba_leaguedashteamshotlocations.Rd                      |    3 
 man/nba_leaguedashteamstats.Rd                              |    6 
 man/nba_leaguegamefinder.Rd                                 |    3 
 man/nba_leaguegamelog.Rd                                    |    3 
 man/nba_leaguehustlestatsplayer.Rd                          |    4 
 man/nba_leaguehustlestatsplayerleaders.Rd                   |    4 
 man/nba_leaguehustlestatsteam.Rd                            |    2 
 man/nba_leaguehustlestatsteamleaders.Rd                     |    2 
 man/nba_leagueleaders.Rd                                    |    2 
 man/nba_leaguelineupviz.Rd                                  |    3 
 man/nba_leagueplayerondetails.Rd                            |    9 
 man/nba_leagueseasonmatchups.Rd                             |    9 
 man/nba_leaguestandings.Rd                                  |    1 
 man/nba_leaguestandingsv3.Rd                                |    1 
 man/nba_live_pbp.Rd                                         |    3 
 man/nba_matchupsrollup.Rd                                   |    9 
 man/nba_pbp.Rd                                              |   26 
 man/nba_pbps.Rd                                             |   18 
 man/nba_playbyplayv3.Rd                                     |only
 man/nba_playerawards.Rd                                     |    6 
 man/nba_playercareerbycollege.Rd                            |    8 
 man/nba_playercareerbycollegerollup.Rd                      |    4 
 man/nba_playercareerstats.Rd                                |    6 
 man/nba_playercompare.Rd                                    |    6 
 man/nba_playerdashboardbyclutch.Rd                          |    6 
 man/nba_playerdashboardbygamesplits.Rd                      |    6 
 man/nba_playerdashboardbygeneralsplits.Rd                   |    6 
 man/nba_playerdashboardbylastngames.Rd                      |    6 
 man/nba_playerdashboardbyopponent.Rd                        |    6 
 man/nba_playerdashboardbyshootingsplits.Rd                  |    6 
 man/nba_playerdashboardbyteamperformance.Rd                 |    6 
 man/nba_playerdashboardbyyearoveryear.Rd                    |    6 
 man/nba_playerdashptpass.Rd                                 |    6 
 man/nba_playerdashptreb.Rd                                  |    6 
 man/nba_playerdashptshotdefend.Rd                           |    6 
 man/nba_playerdashptshots.Rd                                |    6 
 man/nba_playerestimatedmetrics.Rd                           |    6 
 man/nba_playerfantasyprofile.Rd                             |    4 
 man/nba_playerfantasyprofilebargraph.Rd                     |    4 
 man/nba_playergamelog.Rd                                    |    4 
 man/nba_playergamelogs.Rd                                   |    4 
 man/nba_playergamestreakfinder.Rd                           |    6 
 man/nba_playerheadshot.Rd                                   |    6 
 man/nba_playerindex.Rd                                      |    6 
 man/nba_playernextngames.Rd                                 |   10 
 man/nba_playerprofilev2.Rd                                  |    6 
 man/nba_playervsplayer.Rd                                   |    6 
 man/nba_playoffpicture.Rd                                   |    3 
 man/nba_schedule.Rd                                         |    3 
 man/nba_scheduleleaguev2int.Rd                              |only
 man/nba_scoreboard.Rd                                       |    5 
 man/nba_scoreboardv2.Rd                                     |    7 
 man/nba_scoreboardv3.Rd                                     |  241 -
 man/nba_shotchartleaguewide.Rd                              |    3 
 man/nba_teamandplayersvsplayers.Rd                          |only
 man/nba_teamdashboardbyclutch.Rd                            |    3 
 man/nba_teamdashboardbygamesplits.Rd                        |    3 
 man/nba_teamdashboardbygeneralsplits.Rd                     |    3 
 man/nba_teamdashboardbylastngames.Rd                        |    3 
 man/nba_teamdashboardbyopponent.Rd                          |    3 
 man/nba_teamdashboardbyshootingsplits.Rd                    |    3 
 man/nba_teamdashboardbyteamperformance.Rd                   |    3 
 man/nba_teamdashboardbyyearoveryear.Rd                      |    3 
 man/nba_teamdashlineups.Rd                                  |    3 
 man/nba_teamdashptpass.Rd                                   |    3 
 man/nba_teamdashptreb.Rd                                    |    3 
 man/nba_teamdashptshots.Rd                                  |    3 
 man/nba_teamdetails.Rd                                      |    3 
 man/nba_teamestimatedmetrics.Rd                             |    3 
 man/nba_teamgamelog.Rd                                      |    1 
 man/nba_teamgamelogs.Rd                                     |    1 
 man/nba_teamgamestreakfinder.Rd                             |    9 
 man/nba_teamhistoricalleaders.Rd                            |    9 
 man/nba_teaminfocommon.Rd                                   |    3 
 man/nba_teamplayerdashboard.Rd                              |    3 
 man/nba_teamplayeronoffdetails.Rd                           |    3 
 man/nba_teamplayeronoffsummary.Rd                           |    3 
 man/nba_teams.Rd                                            |    3 
 man/nba_teamvsplayer.Rd                                     |    3 
 man/nba_teamyearbyyearstats.Rd                              |    3 
 man/nba_todays_scoreboard.Rd                                |  199 -
 man/nba_videodetails.Rd                                     |    7 
 man/nba_videodetailsasset.Rd                                |    1 
 man/nba_videoevents.Rd                                      |    3 
 man/nba_videoeventsasset.Rd                                 |only
 man/nba_videostatus.Rd                                      |    5 
 man/nba_winprobabilitypbp.Rd                                |    9 
 man/nbagl_live_boxscore.Rd                                  |only
 man/nbagl_live_pbp.Rd                                       |only
 man/nbagl_pbp.Rd                                            |   66 
 man/nbagl_players.Rd                                        |  101 
 man/nbagl_schedule.Rd                                       |   71 
 man/nbagl_standings.Rd                                      |   69 
 man/ncaa_mbb_NET_rankings.Rd                                |    2 
 man/request_with_proxy.Rd                                   |    4 
 tests/testthat.R                                            |    2 
 tests/testthat/helper-skip.R                                |   40 
 tests/testthat/test-espn_mbb_betting.R                      |    2 
 tests/testthat/test-espn_mbb_conferences.R                  |    5 
 tests/testthat/test-espn_mbb_game_rosters.R                 |    4 
 tests/testthat/test-espn_mbb_pbp.R                          |    6 
 tests/testthat/test-espn_mbb_pbp_all.R                      |   28 
 tests/testthat/test-espn_mbb_player_box.R                   |    5 
 tests/testthat/test-espn_mbb_player_stats.R                 |    4 
 tests/testthat/test-espn_mbb_rankings.R                     |    4 
 tests/testthat/test-espn_mbb_scoreboard.R                   |    4 
 tests/testthat/test-espn_mbb_standings.R                    |    4 
 tests/testthat/test-espn_mbb_team_box.R                     |    4 
 tests/testthat/test-espn_mbb_team_stats.R                   |    4 
 tests/testthat/test-espn_mbb_teams.R                        |    4 
 tests/testthat/test-espn_mbb_wp.R                           |    4 
 tests/testthat/test-espn_nba_betting.R                      |  113 
 tests/testthat/test-espn_nba_game_rosters.R                 |    4 
 tests/testthat/test-espn_nba_pbp.R                          |    4 
 tests/testthat/test-espn_nba_pbp_all.R                      |    8 
 tests/testthat/test-espn_nba_player_box.R                   |    4 
 tests/testthat/test-espn_nba_player_stats.R                 |    4 
 tests/testthat/test-espn_nba_scoreboard.R                   |    4 
 tests/testthat/test-espn_nba_standings.R                    |    4 
 tests/testthat/test-espn_nba_team_box.R                     |    4 
 tests/testthat/test-espn_nba_team_stats.R                   |    4 
 tests/testthat/test-espn_nba_teams.R                        |    8 
 tests/testthat/test-espn_nba_wp.R                           |    4 
 tests/testthat/test-load_mbb_pbp.R                          |    5 
 tests/testthat/test-load_mbb_player_box.R                   |    4 
 tests/testthat/test-load_mbb_schedule.R                     |    5 
 tests/testthat/test-load_mbb_team_box.R                     |    4 
 tests/testthat/test-load_nba_pbp.R                          |    4 
 tests/testthat/test-load_nba_player_box.R                   |    4 
 tests/testthat/test-load_nba_schedule.R                     |    5 
 tests/testthat/test-load_nba_team_box.R                     |    4 
 tests/testthat/test-nba_alltimeleadersgrids.R               |   41 
 tests/testthat/test-nba_assistleaders.R                     |    5 
 tests/testthat/test-nba_assisttracker.R                     |    5 
 tests/testthat/test-nba_boxscoreadvancedv2.R                |   34 
 tests/testthat/test-nba_boxscoreadvancedv3.R                |   11 
 tests/testthat/test-nba_boxscoredefensive.R                 |    6 
 tests/testthat/test-nba_boxscoredefensivev2.R               |   11 
 tests/testthat/test-nba_boxscorefourfactorsv2.R             |    9 
 tests/testthat/test-nba_boxscorefourfactorsv3.R             |   11 
 tests/testthat/test-nba_boxscorehustlev2.R                  |   12 
 tests/testthat/test-nba_boxscorematchups.R                  |    6 
 tests/testthat/test-nba_boxscorematchupsv3.R                |    7 
 tests/testthat/test-nba_boxscoremiscv2.R                    |    9 
 tests/testthat/test-nba_boxscoremiscv3.R                    |   11 
 tests/testthat/test-nba_boxscoreplayertrackv2.R             |    9 
 tests/testthat/test-nba_boxscoreplayertrackv3.R             |   11 
 tests/testthat/test-nba_boxscorescoringv2.R                 |    9 
 tests/testthat/test-nba_boxscorescoringv3.R                 |   11 
 tests/testthat/test-nba_boxscoresimilarityscore.R           |    6 
 tests/testthat/test-nba_boxscoresummaryv2.R                 |   22 
 tests/testthat/test-nba_boxscoresummaryv3.R                 |only
 tests/testthat/test-nba_boxscoretraditionalv2.R             |   10 
 tests/testthat/test-nba_boxscoretraditionalv3.R             |   19 
 tests/testthat/test-nba_boxscoreusagev2.R                   |    9 
 tests/testthat/test-nba_boxscoreusagev3.R                   |   11 
 tests/testthat/test-nba_commonallplayers.R                  |    5 
 tests/testthat/test-nba_commonplayerinfo.R                  |    9 
 tests/testthat/test-nba_commonplayoffseries.R               |    5 
 tests/testthat/test-nba_commonteamroster.R                  |    7 
 tests/testthat/test-nba_commonteamyears.R                   |only
 tests/testthat/test-nba_cumestatsplayer.R                   |    7 
 tests/testthat/test-nba_cumestatsplayergames.R              |    5 
 tests/testthat/test-nba_cumestatsteam.R                     |    7 
 tests/testthat/test-nba_cumestatsteamgames.R                |    5 
 tests/testthat/test-nba_data_pbp.R                          |   40 
 tests/testthat/test-nba_defensehub.R                        |   18 
 tests/testthat/test-nba_draftboard.R                        |    9 
 tests/testthat/test-nba_draftcombinedrillresults.R          |    5 
 tests/testthat/test-nba_draftcombinenonstationaryshooting.R |    5 
 tests/testthat/test-nba_draftcombineplayeranthro.R          |    5 
 tests/testthat/test-nba_draftcombinespotshooting.R          |    5 
 tests/testthat/test-nba_draftcombinestats.R                 |    5 
 tests/testthat/test-nba_drafthistory.R                      |    5 
 tests/testthat/test-nba_dunkscoreleaders.R                  |only
 tests/testthat/test-nba_fantasywidget.R                     |    5 
 tests/testthat/test-nba_franchisehistory.R                  |    7 
 tests/testthat/test-nba_franchiseleaders.R                  |    5 
 tests/testthat/test-nba_franchiseleaderswrank.R             |    5 
 tests/testthat/test-nba_franchiseplayers.R                  |    5 
 tests/testthat/test-nba_gamerotation.R                      |    8 
 tests/testthat/test-nba_glalumboxscoresimilarityscore.R     |    6 
 tests/testthat/test-nba_gravityleaders.R                    |only
 tests/testthat/test-nba_homepageleaders.R                   |   10 
 tests/testthat/test-nba_homepagev2.R                        |   20 
 tests/testthat/test-nba_hustlestatsboxscore.R               |   10 
 tests/testthat/test-nba_infographicfanduelplayer.R          |    5 
 tests/testthat/test-nba_iststandings.R                      |only
 tests/testthat/test-nba_leaderstiles.R                      |   12 
 tests/testthat/test-nba_leaguedashlineups.R                 |    9 
 tests/testthat/test-nba_leaguedashoppptshot.R               |    5 
 tests/testthat/test-nba_leaguedashplayerbiostats.R          |    5 
 tests/testthat/test-nba_leaguedashplayerclutch.R            |    5 
 tests/testthat/test-nba_leaguedashplayerptshot.R            |    5 
 tests/testthat/test-nba_leaguedashplayershotlocations.R     |    5 
 tests/testthat/test-nba_leaguedashplayerstats.R             |    5 
 tests/testthat/test-nba_leaguedashptdefend.R                |    4 
 tests/testthat/test-nba_leaguedashptstats.R                 |    4 
 tests/testthat/test-nba_leaguedashptteamdefend.R            |    4 
 tests/testthat/test-nba_leaguedashteamclutch.R              |    4 
 tests/testthat/test-nba_leaguedashteamptshot.R              |    4 
 tests/testthat/test-nba_leaguedashteamshotlocations.R       |    4 
 tests/testthat/test-nba_leaguedashteamstats.R               |    4 
 tests/testthat/test-nba_leaguegamefinder.R                  |    4 
 tests/testthat/test-nba_leaguegamelog.R                     |    4 
 tests/testthat/test-nba_leaguehustlestatsplayer.R           |    4 
 tests/testthat/test-nba_leaguehustlestatsplayerleaders.R    |   14 
 tests/testthat/test-nba_leaguehustlestatsteam.R             |    4 
 tests/testthat/test-nba_leaguehustlestatsteamleaders.R      |   16 
 tests/testthat/test-nba_leagueleaders.R                     |    4 
 tests/testthat/test-nba_leaguelineupviz.R                   |    4 
 tests/testthat/test-nba_leagueplayerondetails.R             |    4 
 tests/testthat/test-nba_leagueseasonmatchups.R              |    4 
 tests/testthat/test-nba_leaguestandings.R                   |    4 
 tests/testthat/test-nba_leaguestandingsv3.R                 |    2 
 tests/testthat/test-nba_live_boxscore.R                     |   20 
 tests/testthat/test-nba_live_pbp.R                          |    4 
 tests/testthat/test-nba_matchupsrollup.R                    |    4 
 tests/testthat/test-nba_pbp.R                               |    6 
 tests/testthat/test-nba_pbps.R                              |    6 
 tests/testthat/test-nba_playbyplayv3.R                      |only
 tests/testthat/test-nba_playerawards.R                      |    4 
 tests/testthat/test-nba_playercareerbycollege.R             |    5 
 tests/testthat/test-nba_playercareerbycollegerollup.R       |   10 
 tests/testthat/test-nba_playercareerstats.R                 |   32 
 tests/testthat/test-nba_playercompare.R                     |    6 
 tests/testthat/test-nba_playerdashboardbyclutch.R           |   24 
 tests/testthat/test-nba_playerdashboardbygamesplits.R       |   12 
 tests/testthat/test-nba_playerdashboardbygeneralsplits.R    |   16 
 tests/testthat/test-nba_playerdashboardbylastngames.R       |   14 
 tests/testthat/test-nba_playerdashboardbyopponent.R         |   10 
 tests/testthat/test-nba_playerdashboardbyshootingsplits.R   |   18 
 tests/testthat/test-nba_playerdashboardbyteamperformance.R  |   10 
 tests/testthat/test-nba_playerdashboardbyyearoveryear.R     |    6 
 tests/testthat/test-nba_playerdashptpass.R                  |    5 
 tests/testthat/test-nba_playerdashptshotdefend.R            |    5 
 tests/testthat/test-nba_playerdashptshots.R                 |   15 
 tests/testthat/test-nba_playerestimatedmetrics.R            |    3 
 tests/testthat/test-nba_playerfantasyprofile.R              |   11 
 tests/testthat/test-nba_playerfantasyprofilebargraph.R      |    5 
 tests/testthat/test-nba_playergamelog.R                     |    3 
 tests/testthat/test-nba_playergamelogs.R                    |    1 
 tests/testthat/test-nba_playergamestreakfinder.R            |    3 
 tests/testthat/test-nba_playerindex.R                       |    3 
 tests/testthat/test-nba_playernextngames.R                  |    4 
 tests/testthat/test-nba_playerprofilev2.R                   |   41 
 tests/testthat/test-nba_playervsplayer.R                    |   21 
 tests/testthat/test-nba_playoffpicture.R                    |   13 
 tests/testthat/test-nba_schedule.R                          |    3 
 tests/testthat/test-nba_scheduleleaguev2int.R               |only
 tests/testthat/test-nba_scoreboard.R                        |   16 
 tests/testthat/test-nba_scoreboardv2.R                      |   22 
 tests/testthat/test-nba_scoreboardv3.R                      |    3 
 tests/testthat/test-nba_shotchartdetail.R                   |    5 
 tests/testthat/test-nba_shotchartleaguewide.R               |    3 
 tests/testthat/test-nba_shotchartlineupdetail.R             |    5 
 tests/testthat/test-nba_synergyplaytypes.R                  |    3 
 tests/testthat/test-nba_teamandplayersvsplayers.R           |only
 tests/testthat/test-nba_teamdashboardbyclutch.R             |   23 
 tests/testthat/test-nba_teamdashboardbygamesplits.R         |   11 
 tests/testthat/test-nba_teamdashboardbygeneralsplits.R      |   13 
 tests/testthat/test-nba_teamdashboardbylastngames.R         |   13 
 tests/testthat/test-nba_teamdashboardbyopponent.R           |    9 
 tests/testthat/test-nba_teamdashboardbyshootingsplits.R     |   15 
 tests/testthat/test-nba_teamdashboardbyteamperformance.R    |    9 
 tests/testthat/test-nba_teamdashboardbyyearoveryear.R       |    5 
 tests/testthat/test-nba_teamdashlineups.R                   |    9 
 tests/testthat/test-nba_teamdashptpass.R                    |    5 
 tests/testthat/test-nba_teamdashptreb.R                     |   11 
 tests/testthat/test-nba_teamdashptshots.R                   |   13 
 tests/testthat/test-nba_teamdetails.R                       |   17 
 tests/testthat/test-nba_teamestimatedmetrics.R              |    3 
 tests/testthat/test-nba_teamgamelog.R                       |    3 
 tests/testthat/test-nba_teamgamelogs.R                      |    1 
 tests/testthat/test-nba_teamgamestreakfinder.R              |    4 
 tests/testthat/test-nba_teamhistoricalleaders.R             |    4 
 tests/testthat/test-nba_teaminfocommon.R                    |    7 
 tests/testthat/test-nba_teamplayerdashboard.R               |    5 
 tests/testthat/test-nba_teamplayeronoffdetails.R            |    7 
 tests/testthat/test-nba_teamplayeronoffsummary.R            |    7 
 tests/testthat/test-nba_teams.R                             |    3 
 tests/testthat/test-nba_teamvsplayer.R                      |   19 
 tests/testthat/test-nba_teamyearbyyearstats.R               |    3 
 tests/testthat/test-nba_todays_scoreboard.R                 |    3 
 tests/testthat/test-nba_videodetails.R                      |    6 
 tests/testthat/test-nba_videodetailsasset.R                 |    5 
 tests/testthat/test-nba_videoevents.R                       |    4 
 tests/testthat/test-nba_videoeventsasset.R                  |only
 tests/testthat/test-nba_videostatus.R                       |    2 
 tests/testthat/test-nba_winprobabilitypbp.R                 |    6 
 tests/testthat/test-nbagl_pbp.R                             |   62 
 tests/testthat/test-nbagl_players.R                         |   57 
 tests/testthat/test-nbagl_schedule.R                        |   61 
 tests/testthat/test-nbagl_standings.R                       |   57 
 tests/testthat/test-ncaa_mbb_NET_rankings.R                 |    2 
 tests/testthat/test-ncaa_mbb_teams.R                        |    9 
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Package epicR readmission to version 1.0.1 with previous version 1.0.0 dated 2026-03-10

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

This is a re-admission after prior archival of version 1.0.0 dated 2026-03-10

Diff between epicR versions 1.0.0 dated 2026-03-10 and 1.0.1 dated 2026-03-24

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Package ClustBlock updated to version 5.0.0 with previous version 4.1.1 dated 2025-06-11

Title: Clustering of Datasets
Description: Hierarchical and partitioning algorithms to cluster blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. Different thresholds per cluster can be sets. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2020) <doi:10.1016/j.foodqual.2018.05.013>, Llobell, Vigneau & Qannari (2019) <doi:10.1016/j.foodqual.2019.02.017>) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2018.09.006>, Llobell, Giacalone, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2019.05.017>) are the core of this package. The CATATIS methods allows to compute some indices and tests to control the quality of CATA data (Llobell, Bonnet & Giacalone (2024) <doi:10.1111/joss.12941>) . Multivariate analysis and clustering of subjects for quantitative multiblock data, CATA, RA [...truncated...]
Author: Fabien Llobell [aut, cre] , Evelyne Vigneau [ctb] , Veronique Cariou [ctb] , El Mostafa Qannari [ctb]
Maintainer: Fabien Llobell <fabienllobellresearch@gmail.com>

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Package TesiproV updated to version 0.9.5 with previous version 0.9.2 dated 2022-03-25

Title: Reliability Analysis Methods for Structural Engineering
Description: Calculate the failure probability of civil engineering problems with Level I up to Level III Methods. Have fun and enjoy. References: Spaethe (1991, ISBN:3-211-82348-4) "Die Sicherheit tragender Baukonstruktionen", AU,BECK (2001) "Estimation of small failure probabilities in high dimensions by subset simulation." <doi:10.1016/S0266-8920(01)00019-4>, Breitung (1989) "Asymptotic approximations for probability integrals." <doi:10.1016/0266-8920(89)90024-6>.
Author: Konstantin Nille-Hauf [aut], Tania Feiri [aut], Marcus Ricker [aut], Til Lux [aut, cre]
Maintainer: Til Lux <til.lux@tu-dortmund.de>

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Package shrinkDSM updated to version 1.0.2 with previous version 1.0.0 dated 2025-04-11

Title: Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage
Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of dynamic survival models with shrinkage priors. Details on the algorithms used are provided in Wagner (2011) <doi:10.1007/s11222-009-9164-5>, Bitto and Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006> and Cadonna et al. (2020) <doi:10.3390/econometrics8020020>.
Author: Daniel Winkler [aut, cre], Peter Knaus [aut]
Maintainer: Daniel Winkler <daniel.winkler@unsw.edu.au>

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Package hglm.data updated to version 1.0-2 with previous version 1.0-1 dated 2019-04-04

Title: Data for the 'hglm' Package
Description: This data-only package was created for distributing data used in the examples of the 'hglm' package.
Author: Xia Shen [aut], Lars Ronnegard [aut, cre], Moudud Alam [aut]
Maintainer: Lars Ronnegard <lars.ronnegard@slu.se>

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Package tarchetypes updated to version 0.14.1 with previous version 0.14.0 dated 2026-02-09

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Rudolf Siegel [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package stepR updated to version 2.1-11 with previous version 2.1-10 dated 2024-10-18

Title: Multiscale Change-Point Inference
Description: Allows fitting of step-functions to univariate serial data where neither the number of jumps nor their positions is known by implementing the multiscale regression estimators SMUCE, simulataneous multiscale changepoint estimator, (K. Frick, A. Munk and H. Sieling, 2014) <doi:10.1111/rssb.12047> and HSMUCE, heterogeneous SMUCE, (F. Pein, H. Sieling and A. Munk, 2017) <doi:10.1111/rssb.12202>. In addition, confidence intervals for the change-point locations and bands for the unknown signal can be obtained.
Author: Pein Florian [aut, cre], Thomas Hotz [aut], Hannes Sieling [aut], Timo Aspelmeier [ctb]
Maintainer: Pein Florian <f.pein@lancaster.ac.uk>

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Package safer updated to version 0.2.2 with previous version 0.2.1 dated 2018-07-24

Title: Encrypt and Decrypt Strings, R Objects and Files
Description: A consistent interface to encrypt and decrypt strings, R objects and files using symmetric and asymmetric key encryption.
Author: Komala Sheshachala Srikanth [aut, cre]
Maintainer: Komala Sheshachala Srikanth <sri.teach@gmail.com>

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Package pgenlibr updated to version 0.6.0 with previous version 0.5.5 dated 2026-03-11

Title: 'PLINK' 2 Binary (.pgen) Reader
Description: A thin wrapper over 'PLINK' 2's core libraries which provides an R interface for reading .pgen files. A minimal .pvar loader is also included. Chang et al. (2015) <doi:10.1186/s13742-015-0047-8>.
Author: Christopher Chang [aut, cre], Eric Biggers [ctb, cph] , Yann Collet [ctb] , Meta Platforms, Inc. [cph] , Evan Nemerson [ctb, cph] , Przemyslaw Skibinski [ctb] , Nick Terrell [ctb]
Maintainer: Christopher Chang <chrchang@alumni.caltech.edu>

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Package lmom updated to version 3.3 with previous version 3.2 dated 2024-09-30

Title: L-Moments
Description: Functions related to L-moments: computation of L-moments and trimmed L-moments of distributions and data samples; parameter estimation; L-moment ratio diagram; plot vs. quantiles of an extreme-value distribution.
Author: J. R. M. Hosking [aut, cre]
Maintainer: J. R. M. Hosking <jrmhosking@gmail.com>

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Package InteractionPoweR updated to version 0.2.4 with previous version 0.2.2 dated 2024-07-09

Title: Power Analyses for Interaction Effects in Cross-Sectional Regressions
Description: Power analysis for regression models which test the interaction of two or three independent variables on a single dependent variable. Includes options for correlated interacting variables and specifying variable reliability. Two-way interactions can include continuous, binary, or ordinal variables. Power analyses can be done either analytically or via simulation. Includes tools for simulating single data sets and visualizing power analysis results. The primary functions are power_interaction_r2() and power_interaction() for two-way interactions, and power_interaction_3way_r2() for three-way interactions. The function run_pos_power_search() provides a stability analysis for two-way interactions. Please cite as: Baranger DAA, Finsaas MC, Goldstein BL, Vize CE, Lynam DR, Olino TM (2023). "Tutorial: Power analyses for interaction effects in cross-sectional regressions." <doi:10.1177/25152459231187531>. If you use the stability analyses, please cite: Castillo A, Miller JD, Vize C, Ba [...truncated...]
Author: David Baranger [aut, cre], Andrew Castillo [aut], Brandon Goldstein [ctb], Megan Finsaas [ctb], Thomas Olino [ctb], Colin Vize [ctb], Don Lynam [ctb]
Maintainer: David Baranger <dbaranger@gmail.com>

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Package tinytest updated to version 1.4.3 with previous version 1.4.1 dated 2023-02-21

Title: Lightweight and Feature Complete Unit Testing Framework
Description: Provides a lightweight (zero-dependency) and easy to use unit testing framework. Main features: install tests with the package. Test results are treated as data that can be stored and manipulated. Test files are R scripts interspersed with test commands, that can be programmed over. Fully automated build-install-test sequence for packages. Skip tests when not run locally (e.g. on CRAN). Flexible and configurable output printing. Compare computed output with output stored with the package. Run tests in parallel. Extensible by other packages. Report side effects.
Author: Mark van der Loo [aut, cre]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package rsyncrosim updated to version 2.1.13 with previous version 2.1.9 dated 2025-10-14

Title: The R Interface to 'SyncroSim'
Description: 'SyncroSim' is a generalized framework for managing scenario-based datasets (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to 'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to transform these datasets, taking advantage of general features such as defining scenarios of model inputs, running Monte Carlo simulations, and summarizing model outputs. 'rsyncrosim' requires 'SyncroSim' 2.3.5 or higher (API documentation: <https://docs.syncrosim.com/>).
Author: Colin Daniel [aut], Josie Hughes [aut], Valentin Lucet [aut], Alex Embrey [aut], Katie Birchard [aut], Leonardo Frid [aut, cre], Tabitha Kennedy [aut], Shreeram Senthivasan [aut], Vicki Zhang [aut], Hannah Adams [aut], ApexRMS [cph]
Maintainer: Leonardo Frid <rsyncrosim@syncrosim.com>

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Package Rserve updated to version 1.8-19 with previous version 1.8-18 dated 2026-03-20

Title: Versatile R Server
Description: Rserve is a versatile, scalable server enabling the efficient use of R from other applications through variety of protocols including QAP, WebSockets, HTTP and HTTPS. It acts as a server (TCP/IP or local sockets) which allows binary requests to be sent to R. Every connection has a separate workspace and working directory. Client-side implementations are available for many popular languages allowing applications to use facilities of R without the need of linking to the R binary. Rserve supports remote connections, user authentication and file transfer. A simple R client is included in this package as well. It also supports OCAP mode for secure remote procedure calls, including support for full event loop, asynchronous results/graphics and console I/O.
Author: Simon Urbanek [aut, cre, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between Rserve versions 1.8-18 dated 2026-03-20 and 1.8-19 dated 2026-03-24

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Package RcppMeCab updated to version 0.0.1.5 with previous version 0.0.1.2 dated 2018-07-04

Title: 'rcpp' Wrapper for 'mecab' Library
Description: R package based on 'Rcpp' for 'MeCab': Yet Another Part-of-Speech and Morphological Analyzer. The purpose of this package is providing a seamless developing and analyzing environment for CJK texts. This package utilizes parallel programming for providing highly efficient text preprocessing 'posParallel()' function. For installation, please refer to README.md file.
Author: Junhewk Kim [aut, cre], Taku Kudo [aut], Akiru Kato [ctb], Patrick Schratz [ctb]
Maintainer: Junhewk Kim <junhewk.kim@gmail.com>

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Package power4mome updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-17

Title: Power Analysis for Moderation and Mediation
Description: Power analysis and sample size determination for moderation, mediation, and moderated mediation in models fitted by structural equation modelling using the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02> or by multiple regression. The package 'manymome' by Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z> is used to specify the indirect paths or conditional indirect paths to be tested.
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut] , Wendie Yang [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package fs updated to version 2.0.1 with previous version 2.0.0 dated 2026-03-22

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut], Hadley Wickham [aut], Gabor Csardi [aut], Jeroen Ooms [cre], libuv project contributors [cph] , Joyent, Inc. and other Node contributors [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Mon, 23 Mar 2026

Package pedbp updated to version 2.1.0 with previous version 2.0.3 dated 2025-06-12

Title: Pediatric Blood Pressure
Description: Data and utilities for estimating pediatric blood pressure percentiles by sex, age, and optionally height (stature) as described in Martin et al. (2022) <doi:10.1001/jamanetworkopen.2022.36918>. Blood pressure percentiles for children under one year of age come from Gemelli et al. (1990) <doi:10.1007/BF02171556>. Estimates of blood pressure percentiles for children at least one year of age are informed by data from the National Heart, Lung, and Blood Institute (NHLBI) and the Centers for Disease Control and Prevention (CDC) <doi:10.1542/peds.2009-2107C> or from Lo et al. (2013) <doi:10.1542/peds.2012-1292>. The source-selection flowchart comes from Martin et al. (2022) <doi:10.1542/hpeds.2021-005998>.
Author: Peter DeWitt [aut, cre] , Blake Martin [ctb] , David Albers [ctb] , Tell Bennett [ctb]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>

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Package NBDCtools updated to version 1.1.0 with previous version 1.0.2 dated 2025-10-05

Title: National Institutes of Health Brain Development Cohorts Data Hub Tools
Description: A suite of functions to work with data from the National Institutes of Health Brain Development Cohorts Data Hub. The package provides tools to create, clean, process, and filter datasets and associated metadata. These utilities are intended to simplify reproducible data-preparation for future research.
Author: Le Zhang [aut, cre] , Janosch Linkersdoerfer [aut]
Maintainer: Le Zhang <dairc.service@gmail.com>

Diff between NBDCtools versions 1.0.2 dated 2025-10-05 and 1.1.0 dated 2026-03-23

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Package mRc updated to version 0.1.1 with previous version 0.1.0 dated 2023-08-28

Title: Multi-Visit Closed Population Mark-Recapture Estimates
Description: Compute bootstrap confidence intervals for the adjusted Schnabel and Schumacher-Eschmeyer multi-visit mark-recapture estimators based on Dettloff (2023) <doi:10.1016/j.fishres.2023.106756>.
Author: Kyle Dettloff [aut, cre, cph]
Maintainer: Kyle Dettloff <kyle.dettloff@noaa.gov>

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Package alcoholSurv updated to version 0.7.2 with previous version 0.7.0 dated 2025-05-27

Title: Light Daily Alcohol and Longevity
Description: Contains data from an observational study concerning possible effects of light daily alcohol consumption on survival and on HDL cholesterol. It also replicates various simple analyses in Rosenbaum (2025) <doi:10.1080/09332480.2025.2473291>. Finally, it includes new R code in wgtRankCef() that implements and replicates a new method for constructing evidence factors in observational block designs in Rosenbaum (2026) <doi:10.1080/01621459.2026.2624858>).
Author: Paul Rosenbaum [aut, cre]
Maintainer: Paul Rosenbaum <rosenbaum@wharton.upenn.edu>

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Package tinyVAST updated to version 1.5.0 with previous version 1.4.0 dated 2025-12-20

Title: Multivariate Spatio-Temporal Models using Structural Equations
Description: Fits a wide variety of multivariate spatio-temporal models with simultaneous and lagged interactions among variables (including vector autoregressive spatio-temporal ('VAST') dynamics) for areal, continuous, or network spatial domains. It includes time-variable, space-variable, and space-time-variable interactions using dynamic structural equation models ('DSEM') as expressive interface, and the 'mgcv' package to specify splines via the formula interface. See Thorson et al. (2025) <doi:10.1111/geb.70035> for more details.
Author: James T. Thorson [aut, cre] , Sean C. Anderson [aut]
Maintainer: James T. Thorson <James.Thorson@noaa.gov>

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Package tidyBdE updated to version 0.6.0 with previous version 0.5.0 dated 2026-01-13

Title: Download Data from Bank of Spain
Description: Tools to download data series from 'Banco de España' ('BdE') on 'tibble' format. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by 'Banco de España'.
Author: Diego H. Herrero [aut, cre, cph]
Maintainer: Diego H. Herrero <dev.dieghernan@gmail.com>

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Package csdm updated to version 1.0.1 with previous version 1.0.0 dated 2026-02-20

Title: Cross-Sectional Dependence Models
Description: Provides estimators and utilities for large panel-data models with cross-sectional dependence, including mean group (MG), common correlated effects (CCE) and dynamic CCE (DCCE) estimators, and cross-sectionally augmented ARDL (CS-ARDL) specifications, plus related inference and diagnostics.
Author: Joao Claudio Macosso [aut, cre]
Maintainer: Joao Claudio Macosso <joaoclaudiomacosso@gmail.com>

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Package colourspace updated to version 0.1.1 with previous version 0.0.1 dated 2026-03-04

Title: Convert from One Colour Space to Another, Print a Ready-to-Paste Modern 'CSS' Syntax
Description: Provides a comprehensive 'API' for colour conversion between popular colour spaces ('RGB', 'HSL', 'OKLab', 'OKLch', 'hex', and named colours) along with clean, modern 'CSS' Color Level 4 syntax output. Integrates seamlessly into 'Shiny' and 'Quarto' workflows. Includes nearest colour name lookup powered by a curated database of over 30,000 colour names. 'OKLab'/'OKLCh' colour spaces are described in Ottosson (2020) <https://bottosson.github.io/posts/oklab/>. 'CSS' Color Level 4 syntax follows the W3C specification <https://www.w3.org/TR/css-color-4/>.
Author: Yann Cohen [aut, cre]
Maintainer: Yann Cohen <yannco5@gmail.com>

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Package climaemet updated to version 1.5.1 with previous version 1.5.0 dated 2026-01-11

Title: Climate AEMET Tools
Description: Tools to download the climatic data of the Spanish Meteorological Agency (AEMET) directly from R using their API and create scientific graphs (climate charts, trend analysis of climate time series, temperature and precipitation anomalies maps, warming stripes graphics, climatograms, etc.).
Author: Manuel Pizarro [aut, cph] , Diego Hernangomez [aut, cre] , Gema Fernandez-Aviles [aut] , AEMET [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package shidashi updated to version 0.1.8 with previous version 0.1.6 dated 2024-02-16

Title: A Shiny Dashboard Template Modular System with Chat Bot Support
Description: A template dashboard system with AI agent integrated. Comes with default themes that can be customized. Developers can upload modified templates on 'Github', and users can easily download templates with 'RStudio' project wizard. The key features of the default template include light and dark theme switcher, resizing graphs, synchronizing inputs across sessions, new notification system, fancy progress bars, and card-like flip panels with back sides, as well as various of 'HTML' tool widgets.
Author: Zhengjia Wang [cph, aut, cre] , ColorlibHQ [cph] , Bootstrap contributors [ctb] , Twitter, Inc [cph] , Ivan Sagalaev [ctb, cph] , Rene Haas [ctb, cph] , Zeno Rocha [ctb, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package micEconDistRay updated to version 0.1-4 with previous version 0.1-2 dated 2023-05-12

Title: Econometric Production Analysis with Ray-Based Distance Functions
Description: Econometric analysis of multiple-input-multiple-output production technologies with ray-based input distance functions as suggested by Price and Henningsen (2023): "A Ray-Based Input Distance Function to Model Zero-Valued Output Quantities: Derivation and an Empirical Application", Journal of Productivity Analysis 60, p. 179-188, <doi:10.1007/s11123-023-00684-1>.
Author: Arne Henningsen [aut, cre], Juan Jose Price [aut]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

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Package MRMCbinary updated to version 1.0.6 with previous version 1.0.5 dated 2025-02-20

Title: Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests
Description: Implements methods for comparing sensitivities and specificities in balanced (or fully crossed) multi-reader multi-case (MRMC) studies with binary diagnostic test results. It implements conditional logistic regression and provides score tests equivalent to Cochran's Q test (which corresponds to McNemar's test when comparing two modalities only). The methodology is based on Lee et al. (2026) <doi:10.1002/sim.70471>.
Author: Seungjae Lee [aut, cre] , Woojoo Lee [aut]
Maintainer: Seungjae Lee <seungjae2525@gmail.com>

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Package LipidMS updated to version 3.1.3 with previous version 3.1.2 dated 2025-12-18

Title: Lipid Annotation for LC-MS/MS DDA or DIA Data
Description: Lipid annotation in untargeted LC-MS lipidomics based on fragmentation rules. Alcoriza-Balaguer MI, Garcia-Canaveras JC, Lopez A, Conde I, Juan O, Carretero J, Lahoz A (2019) <doi:10.1021/acs.analchem.8b03409>.
Author: M Isabel Alcoriza-Balaguer [aut, cre], Celia Regal-Marques [aut]
Maintainer: M Isabel Alcoriza-Balaguer <maribel_alcoriza@iislafe.es>

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Package cjar updated to version 0.2.1 with previous version 0.2.0 dated 2025-01-16

Title: R Client for 'Customer Journey Analytics' ('CJA') API
Description: Connect and pull data from the 'CJA' API, which powers 'CJA Workspace' <https://github.com/AdobeDocs/cja-apis>. The package was developed with the analyst in mind and will continue to be developed with the guiding principles of iterative, repeatable, timely analysis. New features are actively being developed and we value your feedback and contribution to the process.
Author: Ben Woodard [aut, cre], Charles Gallagher [ctb], Braxton Butcher [ctb]
Maintainer: Ben Woodard <benrwoodard@gmail.com>

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Package spanishoddata updated to version 0.2.3 with previous version 0.2.2 dated 2026-02-24

Title: Get Spanish Origin-Destination Data
Description: Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>. This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the 'duckdb' database interface. Local caching minimizes repeated downloads, streamlining workflows for researchers and analysts. Methods described in Kotov et al. (2026) <doi:10.1177/23998083251415040>. Extensive documentation is available at <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on creating static and dynamic mobility flow visualizations and transforming large datasets into analysis-ready formats.
Author: Egor Kotov [aut, cre] , Robin Lovelace [aut] , Eugeni Vidal-Tortosa [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package SIHR updated to version 2.1.1 with previous version 2.1.0 dated 2024-04-24

Title: Statistical Inference in High Dimensional Regression
Description: The goal of SIHR is to provide inference procedures in the high-dimensional generalized linear regression setting for: (1) linear functionals <doi:10.48550/arXiv.1904.12891> <doi:10.48550/arXiv.2012.07133>, (2) conditional average treatment effects, (3) quadratic functionals <doi:10.48550/arXiv.1909.01503>, (4) inner product, (5) distance.
Author: Zhenyu Wang [aut], Prabrisha Rakshit [aut], Tony Cai [aut], Zijian Guo [aut, cre]
Maintainer: Zijian Guo <zijguo@stat.rutgers.edu>

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Package REndo updated to version 2.4.11 with previous version 2.4.10 dated 2024-07-02

Title: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables
Description: Fits linear models with endogenous regressor using latent instrumental variable approaches. The methods included in the package are Lewbel's (1997) <doi:10.2307/2171884> higher moments approach as well as Lewbel's (2012) <doi:10.1080/07350015.2012.643126> heteroscedasticity approach, Park and Gupta's (2012) <doi:10.1287/mksc.1120.0718> joint estimation method that uses Gaussian copula and Kim and Frees's (2007) <doi:10.1007/s11336-007-9008-1> multilevel generalized method of moment approach that deals with endogeneity in a multilevel setting. These are statistical techniques to address the endogeneity problem where no external instrumental variables are needed. See the publication related to this package in the Journal of Statistical Software for more details: <doi:10.18637/jss.v107.i03>. Note that with version 2.0.0 sweeping changes were introduced which greatly improve functionality and usability but break backwards compatibility.
Author: Raluca Gui [cre, aut], Markus Meierer [aut], Rene Algesheimer [aut], Patrik Schilter [aut]
Maintainer: Raluca Gui <raluca.gui@gmail.com>

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Package redcapAPI updated to version 2.12.0 with previous version 2.11.5 dated 2025-12-09

Title: Interface to 'REDCap'
Description: Access data stored in 'REDCap' databases using the Application Programming Interface (API). 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>, Harris, et al. (2009) <doi:10.1016/j.jbi.2008.08.010>, Harris, et al. (2019) <doi:10.1016/j.jbi.2019.103208>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The 'redcapAPI' package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.
Author: Benjamin Nutter [ctb, aut], Shawn Garbett [cre, ctb] , Savannah Obregon [ctb], Thomas Obadia [ctb], Marcus Lehr [ctb], Brian High [ctb], Stephen Lane [ctb], Will Beasley [ctb], Will Gray [ctb], Nick Kennedy [ctb], Tan Hsi-Nien [ctb], Jeffrey Horner [ [...truncated...]
Maintainer: Shawn Garbett <shawn.garbett@vumc.org>

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Package ogrdbstats updated to version 0.5.5 with previous version 0.5.4 dated 2025-07-07

Title: Analysis of Adaptive Immune Receptor Repertoire Germ Line Statistics
Description: Multiple tools are now available for inferring the personalised germ line set from an adaptive immune receptor repertoire. Output from these tools is converted to a single format and supplemented with rich data such as usage and characterisation of 'novel' germ line alleles. This data can be particularly useful when considering the validity of novel inferences. Use of the analysis provided is described in <doi:10.3389/fimmu.2019.00435>.
Author: William Lees [aut, cre]
Maintainer: William Lees <william@lees.org.uk>

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Package NADA2 updated to version 2.0.2 with previous version 2.0.1 dated 2025-09-30

Title: Data Analysis for Censored Environmental Data
Description: Contains methods described by Dennis Helsel in his book "Statistics for Censored Environmental Data using Minitab and R" (2011) and courses and videos at <https://practicalstats.com>. This package incorporates functions of NADA and adds new functionality.
Author: Paul Julian [aut, cre], Dennis Helsel [aut, cph], Lopaka Lee [aut, cph]
Maintainer: Paul Julian <pauljulianphd@gmail.com>

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Package labdsv updated to version 2.3-0 with previous version 2.1-2 dated 2025-07-31

Title: Ordination and Multivariate Analysis for Ecology
Description: A variety of ordination and community analyses useful in analysis of data sets in community ecology. Includes many of the common ordination methods, with graphical routines to facilitate their interpretation, as well as several novel analyses.
Author: David W. Roberts [aut, cre]
Maintainer: David W. Roberts <droberts@montana.edu>

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Package TSEAL updated to version 0.1.5 with previous version 0.1.4 dated 2026-03-16

Title: Time Series Analysis Library
Description: The library allows to perform a multivariate time series classification based on the use of Discrete Wavelet Transform for feature extraction, a step wise discriminant to select the most relevant features and finally, the use of a linear or quadratic discriminant for classification. Note that all these steps can be done separately which allows to implement new steps. Velasco, I., Sipols, A., de Blas, C. S., Pastor, L., & Bayona, S. (2023) <doi:10.1186/S12938-023-01079-X>. Percival, D. B., & Walden, A. T. (2000,ISBN:0521640687). Maharaj, E. A., & Alonso, A. M. (2014) <doi:10.1016/j.csda.2013.09.006>.
Author: Ivan Velasco [aut, cre, cph]
Maintainer: Ivan Velasco <ivan.velasco@urjc.es>

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Package rworkflows readmission to version 1.0.10 with previous version 1.0.8 dated 2026-01-08

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>

This is a re-admission after prior archival of version 1.0.8 dated 2026-01-08

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Package ggdiceplot updated to version 1.1.0 with previous version 1.0.1 dated 2025-12-08

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 nonlinearTseries updated to version 0.3.2 with previous version 0.3.1 dated 2024-09-23

Title: Nonlinear Time Series Analysis
Description: Functions for nonlinear time series analysis. This package permits the computation of the most-used nonlinear statistics/algorithms including generalized correlation dimension, information dimension, largest Lyapunov exponent, sample entropy and Recurrence Quantification Analysis (RQA), among others. Basic routines for surrogate data testing are also included. Part of this work was based on the book "Nonlinear time series analysis" by Holger Kantz and Thomas Schreiber (ISBN: 9780521529020).
Author: Constantino A. Garcia [aut, cre], Gunther Sawitzki [ctb]
Maintainer: Constantino A. Garcia <constantino.garciama@ceu.es>

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Package MIMER updated to version 1.0.6 with previous version 1.0.5 dated 2026-02-28

Title: Data Wrangling for Antimicrobial Resistance Studies
Description: Designed for analyzing the Medical Information Mart for Intensive Care(MIMIC) dataset, a repository of freely accessible electronic health records. MIMER(MIMIC-enabled Research) package, offers a suite of data wrangling functions tailored specifically for preparing the dataset for research purposes, particularly in antimicrobial resistance(AMR) studies. It simplifies complex data manipulation tasks, allowing researchers to focus on their primary inquiries without being bogged down by wrangling complexities.
Author: Anoop Velluva [aut] , Alessandro Gerada [cre, ctb] , Alexander Howard [ctb]
Maintainer: Alessandro Gerada <alessandro.gerada@liverpool.ac.uk>

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Package dress.graph updated to version 0.6.2 with previous version 0.1.2 dated 2026-02-25

Title: DRESS - A Continuous Framework for Structural Graph Refinement
Description: DRESS is a deterministic, parameter-free framework that iteratively refines the structural similarity of edges in a graph to produce a canonical fingerprint: a real-valued edge vector, obtained by converging a non-linear dynamical system to its unique fixed point. The fingerprint is isomorphism-invariant by construction, guaranteed bitwise-equal across any vertex labeling, numerically stable (no overflow, no error amplification, no undefined behavior), fast and embarrassingly parallel to compute: DRESS total runtime is O(I * m * d_max) for I iterations to convergence, and convergence is guaranteed by Birkhoff contraction.
Author: Eduar Castrillo Velilla [aut, cre]
Maintainer: Eduar Castrillo Velilla <velicast@outlook.com>

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Package rKolada updated to version 0.3.1 with previous version 0.3.0 dated 2026-03-04

Title: Access Data from the 'Kolada' Database
Description: Methods for downloading and processing data and metadata from 'Kolada', the official Swedish regions and municipalities database <https://www.kolada.se/>.
Author: Love Hansson [aut, cre, cph]
Maintainer: Love Hansson <love.hansson@gmail.com>

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Package RastaRocket updated to version 1.1.3 with previous version 1.1.2 dated 2026-02-26

Title: Rocket-Fast Clinical Research Reporting
Description: Description of the tables, both grouped and not grouped, with some associated data management actions, such as sorting the terms of the variables and deleting terms with zero numbers.
Author: USMR CHU de Bordeaux [aut, cre], Valentine Renaudeau [aut], Marion Kret [aut], Matisse Decilap [aut], Sahardid Mohamed Houssein [aut], Thomas Ferte [aut]
Maintainer: USMR CHU de Bordeaux <astreinte.usmr@chu-bordeaux.fr>

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Package NlinTS updated to version 1.4.7 with previous version 1.4.6 dated 2025-12-16

Title: Models for Non Linear Causality Detection in Time Series
Description: Models for non-linear time series analysis and causality detection. The main functionalities of this package consist of an implementation of the classical causality test (C.W.J.Granger 1980) <doi:10.1016/0165-1889(80)90069-X>, and a non-linear version of it based on feed-forward neural networks. This package contains also an implementation of the Transfer Entropy <doi:10.1103/PhysRevLett.85.461>, and the continuous Transfer Entropy using an approximation based on the k-nearest neighbors <doi:10.1103/PhysRevE.69.066138>. There are also some other useful tools, like the VARNN (Vector Auto-Regressive Neural Network) prediction model, the Augmented test of stationarity, and the discrete and continuous entropy and mutual information.
Author: Youssef Hmamouche [aut, cre]
Maintainer: Youssef Hmamouche <hmamoucheyussef@gmail.com>

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Package corrselect updated to version 3.2.1 with previous version 3.1.0 dated 2026-01-08

Title: Correlation-Based and Model-Based Predictor Pruning
Description: Provides functions for predictor pruning using association-based and model-based approaches. Includes corrPrune() for fast correlation-based pruning, modelPrune() for VIF-based regression pruning, and exact graph-theoretic algorithms (Eppstein–Löffler–Strash, Bron–Kerbosch) for exhaustive subset enumeration. Supports linear models, GLMs, and mixed models ('lme4', 'glmmTMB').
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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 corrselect-3.2.1/corrselect/DESCRIPTION                                                                            |   15 
 corrselect-3.2.1/corrselect/MD5                                                                                    |  223 
 corrselect-3.2.1/corrselect/NAMESPACE                                                                              |   13 
 corrselect-3.2.1/corrselect/NEWS.md                                                                                |   18 
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 corrselect-3.2.1/corrselect/R/MatSelect.R                                                                          |    9 
 corrselect-3.2.1/corrselect/R/assocSelect.R                                                                        |    5 
 corrselect-3.2.1/corrselect/R/corrSelect.R                                                                         |    3 
 corrselect-3.2.1/corrselect/R/corrSubset.R                                                                         |   12 
 corrselect-3.2.1/corrselect/R/corrselect-package.R                                                                 |    2 
 corrselect-3.2.1/corrselect/R/zzz.R                                                                                |only
 corrselect-3.2.1/corrselect/README.md                                                                              |   32 
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 corrselect-3.2.1/corrselect/inst/doc/workflows.Rmd                                                                 | 1771 ++--
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 corrselect-3.2.1/corrselect/man/assocSelect.Rd                                                                     |    2 
 corrselect-3.2.1/corrselect/man/corrSubset.Rd                                                                      |    6 
 corrselect-3.2.1/corrselect/man/corrselect-package.Rd                                                              |    4 
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 corrselect-3.2.1/corrselect/tests/testthat/test-assocSelect.R                                                      | 2644 +++---
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 corrselect-3.2.1/corrselect/tests/testthat/test-corrMatSelect-els.R                                                |   16 
 corrselect-3.2.1/corrselect/tests/testthat/test-corrPrune.R                                                        | 3240 ++++----
 corrselect-3.2.1/corrselect/tests/testthat/test-corrSelect.R                                                       | 1906 ++--
 corrselect-3.2.1/corrselect/tests/testthat/test-corrSubset.R                                                       |  360 
 corrselect-3.2.1/corrselect/tests/testthat/test-modelPrune.R                                                       | 3910 +++++-----
 corrselect-3.2.1/corrselect/vignettes/advanced.Rmd                                                                 |   60 
 corrselect-3.2.1/corrselect/vignettes/comparison.Rmd                                                               | 1211 +--
 corrselect-3.2.1/corrselect/vignettes/quickstart.Rmd                                                               |   29 
 corrselect-3.2.1/corrselect/vignettes/theory.Rmd                                                                   | 3112 ++++---
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Package TMB updated to version 1.9.21 with previous version 1.9.20 dated 2026-03-17

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [...truncated...]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package spicy updated to version 0.6.0 with previous version 0.5.0 dated 2026-03-14

Title: Descriptive Statistics and Data Management Tools
Description: Provides tools for descriptive data analysis, variable inspection, and quick tabulation workflows in 'R'. Summarizes variable metadata, labels, classes, missing values, and representative values, with support for readable frequency tables, cross-tabulations, association measures for contingency tables (Cramer's V, Phi, Goodman-Kruskal Gamma, Kendall's Tau-b, Somers' D, and others), and APA-style reporting tables. Includes helpers for interactive codebooks, variable label extraction, clipboard export, and row-wise descriptive summaries. Designed to make descriptive analysis faster, clearer, and easier to work with in practice.
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>

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Package spatstat.geom updated to version 3.7-3 with previous version 3.7-2 dated 2026-03-21

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Warick Brown [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Martin Hazelton [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oeh [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package SafeVote updated to version 1.0.2 with previous version 1.0.1 dated 2024-10-05

Title: Election Vote Counting with Safety Features
Description: Fork of 'vote_2.3-2', Raftery et al. (2021) <DOI:10.32614/RJ-2021-086>, with additional support for stochastic experimentation.
Author: Clark Thomborson [cre, aut]
Maintainer: Clark Thomborson <c.thomborson@auckland.ac.nz>

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Package ragg updated to version 1.5.2 with previous version 1.5.1 dated 2026-03-06

Title: Graphic Devices Based on AGG
Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] , Maxim Shemanarev [aut, cph] , Tony Juricic [ctb, cph] , Milan Marusinec [ctb, cph] , Spencer Garrett [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package omock updated to version 0.6.2 with previous version 0.6.1 dated 2026-02-03

Title: Creation of Mock Observational Medical Outcomes Partnership Common Data Model
Description: Creates mock data for testing and package development for the Observational Medical Outcomes Partnership common data model. The package offers functions crafted with pipeline-friendly implementation, enabling users to effortlessly include only the necessary tables for their testing needs.
Author: Mike Du [aut, cre] , Marti Catala [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Mike Du <mike.du@ndorms.ox.ac.uk>

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Package LikertMakeR updated to version 2.0.0 with previous version 1.4.0 dated 2026-02-11

Title: Synthesise and Correlate Likert Scale and Rating-Scale Data Based on Summary Statistics
Description: Generate and correlate synthetic Likert and rating-scale questionnaire responses with predefined means, standard deviations, Cronbach's Alpha, Factor Loading table, coefficients, and other summary statistics. It can be used to simulate Likert data, construct multi-item scales, generate correlation matrices, and create example survey datasets for teaching statistics, psychometrics, and methodological research. Worked examples and documentation are available in the package articles, accessible via the package website, <https://winzarh.github.io/LikertMakeR/>.
Author: Hume Winzar [cre, aut]
Maintainer: Hume Winzar <winzar@gmail.com>

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Package delimtools readmission to version 0.2.2 with previous version 0.2.1 dated 2025-09-29

Title: Helper Functions for Species Delimitation Analysis
Description: Helpers functions to process, analyse, and visualize the output of single locus species delimitation methods. For full functionality, please install suggested software at <https://legallab.github.io/delimtools/articles/install.html>.
Author: Pedro Bittencourt [aut, cre, cph] , Rupert Collins [aut, ctb, cph] , Tomas Hrbek [aut, ctb]
Maintainer: Pedro Bittencourt <pedro.sennabittencourt@gmail.com>

This is a re-admission after prior archival of version 0.2.1 dated 2025-09-29

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Package btw updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-16

Title: A Toolkit for Connecting R and Large Language Models
Description: A complete toolkit for connecting 'R' environments with Large Language Models (LLMs). Provides utilities for describing 'R' objects, package documentation, and workspace state in plain text formats optimized for LLM consumption. Supports multiple workflows: interactive copy-paste to external chat interfaces, programmatic tool registration with 'ellmer' chat clients, batteries-included chat applications via 'shinychat', and exposure to external coding agents through the Model Context Protocol. Project configuration files enable stable, repeatable conversations with project-specific context and preferred LLM settings.
Author: Garrick Aden-Buie [aut, cre] , Simon Couch [aut] , Joe Cheng [aut], Posit Software, PBC [cph, fnd], Google [cph] , Microsoft [cph] , Jamie Perkins [cph]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

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Package avesperu updated to version 0.1.0 with previous version 0.0.8 dated 2026-01-08

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 29-12-2025) <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 0.0.8 dated 2026-01-08 and 0.1.0 dated 2026-03-23

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Package AV1R updated to version 0.1.3 with previous version 0.1.2 dated 2026-03-05

Title: 'AV1' Video Encoding for Biological Microscopy Data
Description: Converts legacy microscopy video formats (H.264/H.265, AVI/MJPEG, TIFF stacks) to the modern 'AV1' codec with minimal quality loss. Typical use cases include compressing large TIFF stacks from confocal microscopy and time-lapse experiments from hundreds of gigabytes to manageable sizes, re-encoding MP4 files exported from 'CellProfiler', 'ImageJ'/'Fiji', and microscope software with approximately 2x better compression at the same visual quality, and converting legacy AVI (MJPEG) and H.265 recordings to a single patent-free format suited for long-term archival. Automatically selects the best available backend: GPU hardware acceleration via 'Vulkan' 'VK_KHR_VIDEO_ENCODE_AV1' or 'VAAPI' (tested on AMD RDNA4; bundled headers, builds with any 'Vulkan' SDK >= 1.3.275), with automatic fallback to CPU encoding through 'FFmpeg' and 'SVT-AV1'. User controls quality via a single CRF parameter; each backend adapts automatically (CPU and Vulkan use CRF directly, VAAPI targets 55 percent of input [...truncated...]
Author: Yuri Baramykov [aut, cre]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package uaparserjs updated to version 0.3.6 with previous version 0.3.5 dated 2020-05-11

Title: Parse 'User-Agent' Strings
Description: Despite there being a section in RFC 7231 <https://datatracker.ietf.org/doc/html/rfc7231#section-5.5.3> defining a suggested structure for 'User-Agent' headers this data is notoriously difficult to parse consistently. Tools are provided that will take in user agent strings and return structured R objects. This is a 'V8'-backed package based on the 'ua-parser' project <https://github.com/ua-parser>.
Author: Bob Rudis [aut, cph], Greg Hunt [aut, cre, cph], Lindsey Simon [aut] , Tobie Langel [aut] , Colman Humphrey [ctb]
Maintainer: Greg Hunt <greg@firmansyah.com>

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Package Rbearcat updated to version 0.2.2 with previous version 0.2.1 dated 2026-03-21

Title: University of Cincinnati Themes and Utilities for Econometrics and Data Science
Description: Provides plotting helpers, table-formatting utilities, and report templates for econometrics, model development, and applied data analysis. Includes University of Cincinnati branded themes for 'ggplot2', 'modelsummary', 'flextable', 'rmarkdown', 'bookdown', and 'quarto'.
Author: Saannidhya Rawat [aut, cre]
Maintainer: Saannidhya Rawat <rawatsa@mail.uc.edu>

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Package ProbeDeveloper updated to version 1.1.1 with previous version 1.1.0 dated 2022-01-30

Title: Develop Hybridization Probes
Description: Hybridization probes for target sequences can be made based on melting temperature value calculated by R package 'TmCalculator' <https://CRAN.R-project.org/package=TmCalculator> and methods extended from Beliveau, B. J.,(2018) <doi:10.1073/pnas.1714530115>, and those hybridization probes can be used to capture specific target regions in fluorescence in situ hybridization and next generation sequence experiments.
Author: Junhui Li [cre, aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

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Package netseer updated to version 0.1.3 with previous version 0.1.2 dated 2025-09-10

Title: Graph Prediction from a Graph Time Series
Description: Predicting the structure of a graph including new nodes and edges using a time series of graphs. Flux balance analysis, a linear and integer programming technique used in biochemistry is used with time series prediction methods to predict the graph structure at a future time point Kandanaarachchi (2025) <doi:10.48550/arXiv.2507.05806>.
Author: Sevvandi Kandanaarachchi [aut, cre] , Stefan Westerlund [aut]
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>

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Package graphpcor readmission to version 0.1.24 with previous version 0.1.15 dated 2026-01-15

Title: Models for Correlation Matrices Based on Graphs
Description: Implement some models for correlation/covariance matrices including two approaches to model correlation matrices from a graphical structure. One use latent parent variables as proposed in Sterrantino et. al. (2024) <doi:10.1007/s10260-025-00788-y>. The other uses a graph to specify conditional relations between the variables. The graphical structure makes correlation matrices interpretable and avoids the quadratic increase of parameters as a function of the dimension. In the first approach a natural sequence of simpler models along with a complexity penalization is used. The second penalizes deviations from a base model. These can be used as prior for model parameters, considering C code through the 'cgeneric' interface for the 'INLA' package (<https://www.r-inla.org>). This allows one to use these models as building blocks combined and to other latent Gaussian models in order to build complex data models.
Author: Elias Teixeira Krainski [cre, aut, cph] , Denis Rustand [aut, cph] , Anna Freni-Sterrantino [aut, cph] , Janet van Niekerk [aut, cph] , Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <eliaskrainski@gmail.com>

This is a re-admission after prior archival of version 0.1.15 dated 2026-01-15

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Permanent link

Package TSP updated to version 1.2.7 with previous version 1.2.6 dated 2025-11-27

Title: Infrastructure for the Traveling Salesperson Problem
Description: Basic infrastructure and some algorithms for the traveling salesperson problem (also traveling salesman problem; TSP). The package provides some simple algorithms and an interface to the Concorde TSP solver and its implementation of the Chained-Lin-Kernighan heuristic. The code for Concorde itself is not included in the package and has to be obtained separately. Hahsler and Hornik (2007) <doi:10.18637/jss.v023.i02>.
Author: Michael Hahsler [aut, cre, cph] , Kurt Hornik [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between TSP versions 1.2.6 dated 2025-11-27 and 1.2.7 dated 2026-03-23

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More information about TSP at CRAN
Permanent link

Package ggpmisc updated to version 0.7.0 with previous version 0.6.3 dated 2025-11-29

Title: Miscellaneous Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Statistics to locate and tag peaks and valleys and to label plots with the equation of a fitted polynomial model by ordinary least squares, major axis, quantile and robust and resistant regression approaches. Line and model equation for Normal mixture models. Labels for P-value, R^2 or adjusted R^2 or information criteria for fitted models; parametric and non-parametric correlation; ANOVA table or summary table for fitted models as plot insets; annotations for multiple pairwise comparisons with adjusted P-values. Model fit classes for which suitable methods are provided by package 'broom' and 'broom.mixed' are supported as well as user-defined wrappers on model fit functions, allowing model selection and conditional labelling. Scales and stats to build volcano and quadrant plots based on outcomes, fold changes, p-values and false discovery rates.
Author: Pedro J. Aphalo [aut, cre] , Kamil Slowikowski [ctb] , Samer Mouksassi [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between ggpmisc versions 0.6.3 dated 2025-11-29 and 0.7.0 dated 2026-03-23

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Package filearray updated to version 0.2.1 with previous version 0.2.0 dated 2025-04-01

Title: File-Backed Array for Out-of-Memory Computation
Description: Stores large arrays in files to avoid occupying large memories. Implemented with super fast gigabyte-level multi-threaded reading/writing via 'OpenMP'. Supports multiple non-character data types (double, float, complex, integer, logical, and raw).
Author: Zhengjia Wang [aut, cre, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Sun, 22 Mar 2026

Package offsetreg updated to version 1.2.0 with previous version 1.1.1 dated 2025-03-02

Title: An Extension of 'Tidymodels' Supporting Offset Terms
Description: Extend the 'tidymodels' ecosystem <https://www.tidymodels.org/> to enable the creation of predictive models with offset terms. Models with offsets are most useful when working with count data or when fitting an adjustment model on top of an existing model with a prior expectation. The former situation is common in insurance where data is often weighted by exposures. The latter is common in life insurance where industry mortality tables are often used as a starting point for setting assumptions.
Author: Matt Heaphy [aut, cre, cph]
Maintainer: Matt Heaphy <mattrmattrs@gmail.com>

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Package inti updated to version 0.6.92 with previous version 0.6.91 dated 2026-01-10

Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and scientific writing. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] , Maria Belen Kistner [ctb] , QuipoLab [ctb], Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flozanoisla@gmail.com>

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Package etwfe updated to version 0.6.2 with previous version 0.6.1 dated 2026-03-16

Title: Extended Two-Way Fixed Effects
Description: Convenience functions for implementing extended two-way fixed effect regressions a la Wooldridge (2023, 2025) <doi:10.1093/ectj/utad016>, <doi:10.1007/s00181-025-02807-z>.
Author: Grant McDermott [aut, cre] , Frederic Kluser [ctb], Ulrich Morawetz [ctb]
Maintainer: Grant McDermott <contact@grantmcdermott.com>

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Package condor updated to version 3.0.2 with previous version 3.0.1 dated 2025-09-22

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

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Package DataQualityDashboard updated to version 2.8.7 with previous version 2.8.6 dated 2026-01-28

Title: Execute and View Data Quality Checks on OMOP CDM Database
Description: Assesses data quality in Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) databases. Executes data quality checks and provides an R 'shiny' application to view the results.
Author: Katy Sadowski [aut, cre], Clair Blacketer [aut], Maxim Moinat [aut], Ajit Londhe [aut], Anthony Sena [aut], Anthony Molinaro [aut], Frank DeFalco [aut], Pavel Grafkin [aut]
Maintainer: Katy Sadowski <sadowski@ohdsi.org>

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Package incubate updated to version 1.4.0 with previous version 1.3.0 dated 2024-08-16

Title: Parametric Time-to-Event Analysis with Variable Incubation Phases
Description: Fit parametric models for time-to-event data that show an initial 'incubation period', i.e., a variable delay phase where no events occur. The delayed Weibull distribution serves as the foundational data model. For parameter estimation, different flavours of maximum likelihood estimation ('MLE') and the method of maximum product of spacings estimation ('MPSE') are implemented. Bootstrap confidence intervals for parameters and significance tests in a two group setting are provided.
Author: Matthias Kuhn [aut, cre, cph]
Maintainer: Matthias Kuhn <matthias.kuhn@tu-dresden.de>

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Package assessor updated to version 1.3.0 with previous version 1.1.1 dated 2025-02-16

Title: Assessment Tools for Regression Models with Discrete and Semicontinuous Outcomes
Description: Provides assessment tools for regression models with discrete and semicontinuous outcomes proposed in Yang (2021) <doi:10.1080/10618600.2021.1910042>, Yang (2024) <doi:10.1080/10618600.2024.2303336>, Yang (2024) <doi:10.1093/biomtc/ujae007>, and Yang (2026) <doi:10.1002/cjs.70046>. It calculates the double probability integral transform (DPIT) residuals. It also constructs QQ plots of residuals the ordered curve for assessing mean structures, quasi-empirical distribution function for overall assessment, and a formal goodness-of-fit test.
Author: Lu Yang [aut], Jeonghwan Lee [cre, aut]
Maintainer: Jeonghwan Lee <lee03938@umn.edu>

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Package jarbes updated to version 2.5.0 with previous version 2.4.2 dated 2026-02-11

Title: Just a Rather Bayesian Evidence Synthesis
Description: Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).
Author: Pablo Emilio Verde [aut, cre]
Maintainer: Pablo Emilio Verde <pabloemilio.verde@hhu.de>

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Package qgisprocess updated to version 0.4.2 with previous version 0.4.1 dated 2024-10-06

Title: Use 'QGIS' Processing Algorithms
Description: Provides seamless access to the 'QGIS' (<https://qgis.org>) processing toolbox using the standalone 'qgis_process' command-line utility. Both native and third-party (plugin) processing providers are supported. Beside referring data sources from file, also common objects from 'sf', 'terra' and 'stars' are supported. The native processing algorithms are documented by QGIS.org (2024) <https://docs.qgis.org/latest/en/docs/user_manual/processing_algs/>.
Author: Dewey Dunnington [aut] , Floris Vanderhaeghe [aut, cre] ), Jan Caha [aut] , Jannes Muenchow [aut] , Antony Barja [ctb] , Robin Lovelace [ctb] , Jakub Nowosad [ctb] , Research Institute for Nature and Forest [cph, fnd]
Maintainer: Floris Vanderhaeghe <floris.vanderhaeghe@inbo.be>

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Package prome updated to version 4.0.0.3 with previous version 3.1.0.1 dated 2026-02-06

Title: Patient-Reported Outcome Data Analysis with Stan
Description: Estimation for blinding bias in randomized controlled trials with a latent continuous outcome, a binary response depending on treatment and the latent outcome, and a noisy surrogate subject to possibly response-dependent measurement error. Implements EM estimators in R backed by compiled C routines for models with and without the restriction delta0 = 0, and Bayesian Stan wrappers for the same two models. Functions were added for latent outcome models with differential measurement error.
Author: Bin Wang [aut, cre]
Maintainer: Bin Wang <bwang831@gmail.com>

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Package afttest updated to version 4.5.3 with previous version 4.5.2.2 dated 2026-02-24

Title: Model Diagnostics for Accelerated Failure Time Models
Description: A collection of model checking methods for semiparametric accelerated failure time (AFT) models under the rank-based approach. For the (computational) efficiency, Gehan's weight is used. It provides functions to verify whether the observed data fit the specific model assumptions such as a functional form of each covariate, a link function, and an omnibus test. The p-value offered in this package is based on the Kolmogorov-type supremum test and the variance of the proposed test statistics is estimated through the re-sampling method. Furthermore, a graphical technique to compare the shape of the observed residual to a number of the approximated realizations is provided. See the following references; A general model-checking procedure for semiparametric accelerated failure time models, Statistics and Computing, 34 (3), 117 <doi:10.1007/s11222-024-10431-7>; Diagnostics for semiparametric accelerated failure time models with R package 'afttest', arXiv, <doi:10.48550/arXiv.2511.098 [...truncated...]
Author: Woojung Bae [aut, cre] , Dongrak Choi [aut] , Jun Yan [aut] , Sangwook Kang [aut]
Maintainer: Woojung Bae <matt.woojung@gmail.com>

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Package sumer updated to version 1.4.0 with previous version 1.3.0 dated 2026-03-11

Title: Sumerian Cuneiform Text Analysis
Description: Provides functions for converting transliterated Sumerian texts to sign names and cuneiform characters, creating and querying dictionaries, analyzing the structure of Sumerian words, and creating translations. Includes a built-in dictionary and supports both forward lookup (Sumerian to English) and reverse lookup (English to Sumerian).
Author: Robin Wellmann [aut, cre]
Maintainer: Robin Wellmann <ro.wellmann@gmail.com>

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Package psycho updated to version 0.6.2 with previous version 0.6.1 dated 2021-01-19

Title: Efficient and Publishing-Oriented Workflow for Psychological Science
Description: The main goal of the psycho package is to provide tools for psychologists, neuropsychologists and neuroscientists, to facilitate and speed up the time spent on data analysis. It aims at supporting best practices and tools to format the output of statistical methods to directly paste them into a manuscript, ensuring statistical reporting standardization and conformity.
Author: Dominique Makowski [aut, cre, cph] , Hugo Najberg [ctb], Viliam Simko [ctb], Sasha Epskamp [rev]
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

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Package LLMing updated to version 1.2.0 with previous version 1.1.0 dated 2026-01-08

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>

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Package spatstat.explore updated to version 3.8-0 with previous version 3.7-0 dated 2026-01-22

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Ya-Mei Chang [ctb], Jean-Francois Coeurjolly [ctb], Lucia Cobo Sanchez [ctb, cph], Ottma [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package spatstat.random updated to version 3.4-5 with previous version 3.4-4 dated 2026-01-21

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes including simple sequential inhibition, Matern inhibition models, Neyman-Scott cluster processes (using direct, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox processes, product shot noise cluster processes and Gibbs point processes (using Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler, or coupling-from-the-past perfect simulation). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [aut, cph] , Kasper Klitgaard Berthelsen [ctb, cph], David Bryant [ctb, cph], Ya-Mei Chang [ctb, cph], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Sc [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package RMixtCompIO updated to version 4.0.12 with previous version 4.0.11 dated 2023-10-03

Title: Minimal Interface of the C++ 'MixtComp' Library for Mixture Models with Heterogeneous and (Partially) Missing Data
Description: Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with heterogeneous data sets and partially missing data management. It includes models for real, categorical, counting, functional and ranking data. This package contains the minimal R interface of the C++ 'MixtComp' library.
Author: Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Serge Iovleff [ctb], Matthieu Marbac-Lourdelle [ctb], Etienne Goffinet [ctb], Patrick Wieschollek [ctb] , Tobias Wood [ctb] , Julien Vandaele [ctb]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

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Package readapra updated to version 0.2.2 with previous version 0.2.1 dated 2025-02-22

Title: Download and Tidy Data from the Australian Prudential Regulation Authority
Description: Download the latest data from the Australian Prudential Regulation Authority <https://www.apra.gov.au/> and import it into R as a tidy data frame.
Author: Jarrod van der Wal [aut, cre, cph]
Maintainer: Jarrod van der Wal <jarvanderwal@gmail.com>

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Package MultiTraits updated to version 1.0.0 with previous version 0.6.0 dated 2025-10-01

Title: Analyzing and Visualizing Multidimensional Plant Traits
Description: Implements analytical methods for multidimensional plant traits, including Competitors-Stress tolerators-Ruderals strategy analysis using leaf traits, Leaf-Height-Seed strategy analysis, Niche Periodicity Table analysis, and Trait Network analysis. Provides functions for data analysis, visualization, and network metrics calculation. Methods are based on He et al. (2026) <doi:10.1002/ecog.08026>.
Author: Yan He [aut, cre], Zhaogang Liu [aut], Jiangshan Lai [aut], Lingfeng Mao [aut]
Maintainer: Yan He <heyan@njfu.edu.cn>

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Package fs updated to version 2.0.0 with previous version 1.6.7 dated 2026-03-06

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut], Hadley Wickham [aut], Gabor Csardi [aut], Jeroen Ooms [cre], libuv project contributors [cph] , Joyent, Inc. and other Node contributors [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between fs versions 1.6.7 dated 2026-03-06 and 2.0.0 dated 2026-03-22

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Package collections updated to version 0.3.12 with previous version 0.3.11 dated 2026-02-05

Title: High Performance Container Data Types
Description: Provides high performance container data types such as queues, stacks, deques, dicts and ordered dicts. Benchmarks <https://randy3k.github.io/collections/articles/benchmark.html> have shown that these containers are asymptotically more efficient than those offered by other packages.
Author: Randy Lai [aut, cre], Andrea Mazzoleni [cph] , Yann Collet [cph]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package arrangements updated to version 1.1.10 with previous version 1.1.9 dated 2020-09-13

Title: Fast Generators and Iterators for Permutations, Combinations, Integer Partitions and Compositions
Description: Fast generators and iterators for permutations, combinations, integer partitions and compositions. The arrangements are in lexicographical order and generated iteratively in a memory efficient manner. It has been demonstrated that 'arrangements' outperforms most existing packages of similar kind. Benchmarks could be found at <https://randy3k.github.io/arrangements/articles/benchmark.html>.
Author: Randy Lai [aut, cre]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package arm updated to version 1.15-2 with previous version 1.15-1 dated 2026-03-15

Title: Data Analysis Using Regression and Multilevel/Hierarchical Models
Description: Functions to accompany A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2007.
Author: Andrew Gelman [aut], Yu-Sung Su [aut, cre] , Masanao Yajima [ctb], Jennifer Hill [ctb], Maria Grazia Pittau [ctb], Jouni Kerman [ctb], Tian Zheng [ctb], Vincent Dorie [ctb]
Maintainer: Yu-Sung Su <suyusung@tsinghua.edu.cn>

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Package flownet updated to version 0.2.2 with previous version 0.2.1 dated 2026-02-22

Title: Transport Modeling: Network Processing, Route Enumeration, and Traffic Assignment
Description: High-performance tools for transport modeling - network processing, route enumeration, and traffic assignment in R. The package implements the Path-Sized Logit model for traffic assignment - Ben-Akiva and Bierlaire (1999) <doi:10.1007/978-1-4615-5203-1_2> - an efficient route enumeration algorithm, and provides powerful utility functions for (multimodal) network generation, consolidation/contraction, and/or simplification. The user is expected to provide a transport network (either a graph or collection of linestrings) and an origin-destination (OD) matrix of trade/traffic flows. Maintained by transport consultants at CPCS (cpcs.ca).
Author: Sebastian Krantz [aut, cre], Kamol Roy [ctb]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

Diff between flownet versions 0.2.1 dated 2026-02-22 and 0.2.2 dated 2026-03-22

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Sat, 21 Mar 2026

Package PwePred updated to version 1.1.0 with previous version 1.0.0 dated 2025-04-10

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>

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Package fru updated to version 0.0.4 with previous version 0.0.3 dated 2026-02-05

Title: A Blazing Fast Implementation of Random Forest
Description: Yet another implementation of the Random Forest method by Breiman (2001) <doi:10.1023/A:1010933404324>, written in Rust and tailored towards stability, correctness, efficiency and scalability on modern multi-core machines. Handles both classification and regression, as well as provides permutation feature importance via a novel, highly optimised algorithm.
Author: Miron Bartosz Kursa [aut, cre] , Krzysztof Piotr Piwonski [aut]
Maintainer: Miron Bartosz Kursa <m@mbq.me>

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Package polyRAD updated to version 2.0.1 with previous version 2.0.0 dated 2022-11-06

Title: Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids
Description: Read depth data from genotyping-by-sequencing (GBS) or restriction site-associated DNA sequencing (RAD-seq) are imported and used to make Bayesian probability estimates of genotypes in polyploids or diploids. The genotype probabilities, posterior mean genotypes, or most probable genotypes can then be exported for downstream analysis. 'polyRAD' is described by Clark et al. (2019) <doi:10.1534/g3.118.200913>, and the Hind/He statistic for marker filtering is described by Clark et al. (2022) <doi:10.1186/s12859-022-04635-9>. A variant calling pipeline for highly duplicated genomes is also included and is described by Clark et al. (2020, Version 1) <doi:10.1101/2020.01.11.902890>.
Author: Lindsay V. Clark [aut, cre] , U.S. National Science Foundation [fnd]
Maintainer: Lindsay V. Clark <Lindsay.Clark@seattlechildrens.org>

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Package MaximinInfer updated to version 2.1.0 with previous version 2.0.0 dated 2023-04-12

Title: Inference for Maximin Effects in High-Dimensional Settings
Description: Implementation of the sampling and aggregation method for the covariate shift maximin effect, which was proposed in <doi:10.48550/arXiv.2011.07568>. It constructs the confidence interval for any linear combination of the high-dimensional maximin effect.
Author: Zhenyu Wang [aut, cre], Zijian Guo [aut]
Maintainer: Zhenyu Wang <zw425@stat.rutgers.edu>

Diff between MaximinInfer versions 2.0.0 dated 2023-04-12 and 2.1.0 dated 2026-03-21

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Package rzmq updated to version 0.9.16 with previous version 0.9.15 dated 2024-12-16

Title: R Bindings for 'ZeroMQ'
Description: Interface to the 'ZeroMQ' lightweight messaging kernel (see <https://zeromq.org/> for more information).
Author: Whit Armstrong [aut], Michael Schubert [ctb], Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between rzmq versions 0.9.15 dated 2024-12-16 and 0.9.16 dated 2026-03-21

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Package nomiShape updated to version 1.0.2 with previous version 1.0.1 dated 2026-02-24

Title: Visualization and Analysis of Nominal Variable Distributions
Description: Provides tools for visualizing and analyzing the shape of discrete nominal frequency distributions. The package introduces centered frequency plots, in which nominal categories are ordered from the most frequent category at the center toward less frequent categories on both sides, facilitating the detection of distributional patterns such as uniformity, dominance, symmetry, skewness, and long-tail behavior. In addition, the package supports Pareto charts for the study of dominance and cumulative frequency structure in nominal data. The package is designed for exploratory data analysis and statistical teaching, offering visualizations that emphasize distributional form rather than arbitrary category ordering.
Author: Norberto Asensio [aut, cre]
Maintainer: Norberto Asensio <norberto.asensio@ehu.eus>

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Package vctrs updated to version 0.7.2 with previous version 0.7.1 dated 2026-01-23

Title: Vector Helpers
Description: Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analysing function interfaces.
Author: Hadley Wickham [aut], Lionel Henry [aut], Davis Vaughan [aut, cre], data.table team [cph] and their contribution to R's order), Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

Diff between vctrs versions 0.7.1 dated 2026-01-23 and 0.7.2 dated 2026-03-21

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Package scaledescr updated to version 0.2.3 with previous version 0.2.2 dated 2026-03-13

Title: Descriptive, Reliability, and Inferential Tables for Psychometric Scales and Demographic Data
Description: Provides functions to format and summarise already computed outputs from commonly used statistical and psychometric functions into compact, single-row tables and simple graphs, with utilities to export results to CSV, Word, and Excel formats. The package does not implement new statistical methods or estimation procedures; instead, it organises and presents results obtained from existing functions such as psych::describe(), psych::alpha(), stats::t.test(), and gtsummary::tbl_summary() to streamline reporting workflows in clinical and psychological research.
Author: Darshankumar Dharaiya [aut, cre]
Maintainer: Darshankumar Dharaiya <dharaiya.darshan@gmail.com>

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Package refund updated to version 0.1-40 with previous version 0.1-38 dated 2025-11-17

Title: Regression with Functional Data
Description: Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.
Author: Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre, cph], Chongzhi Di [aut], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Phil [...truncated...]
Maintainer: Julia Wrobel <julia.wrobel@emory.edu>

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Package iq updated to version 2.0.1 with previous version 2.0.0 dated 2025-10-06

Title: Protein Quantification in Mass Spectrometry-Based Proteomics
Description: An implementation of the MaxLFQ algorithm by Cox et al. (2014) <doi:10.1074/mcp.M113.031591> in a comprehensive pipeline for processing proteomics data in data-independent acquisition mode (Pham et al. 2020 <doi:10.1093/bioinformatics/btz961>; Pham et al. 2026 <doi:10.1021/acs.jproteome.5c01038>). It offers additional options for protein quantification using the N most intense fragment ions, using all fragment ions, the median polish algorithm by Tukey (1977, ISBN:0201076160), and a robust linear model. In general, the tool can be used to integrate multiple proportional observations into a single quantitative value.
Author: Thang Pham [aut, cre, cph, ctb] , Alex Henneman [ctb]
Maintainer: Thang Pham <t.pham@amsterdamumc.nl>

Diff between iq versions 2.0.0 dated 2025-10-06 and 2.0.1 dated 2026-03-21

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Package gimms updated to version 1.2.5 with previous version 1.2.4 dated 2025-11-30

Title: Download and Process GIMMS NDVI3g Data
Description: This is a set of functions to retrieve information about GIMMS NDVI3g files currently available online; download (and re-arrange, in the case of NDVI3g.v0) the half-monthly data sets; import downloaded files from ENVI binary (NDVI3g.v0) or NetCDF format (NDVI3g.v1) directly into R based on the widespread 'raster' package; conduct quality control; and generate monthly composites (e.g., maximum values) from the half-monthly input data. As a special gimmick, a method is included to conveniently apply the Mann-Kendall trend test upon 'Raster*' images, optionally featuring trend-free pre-whitening to account for lag-1 autocorrelation.
Author: Florian Detsch [cre, aut]
Maintainer: Florian Detsch <fdetsch@web.de>

Diff between gimms versions 1.2.4 dated 2025-11-30 and 1.2.5 dated 2026-03-21

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Package RCurl updated to version 1.98-1.18 with previous version 1.98-1.17 dated 2025-03-22

Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <https://curl.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Author: CRAN Team [ctb, cre] , Duncan Temple Lang [aut]
Maintainer: CRAN Team <CRAN@r-project.org>

Diff between RCurl versions 1.98-1.17 dated 2025-03-22 and 1.98-1.18 dated 2026-03-21

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Package Matrix updated to version 1.7-5 with previous version 1.7-4 dated 2025-08-28

Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.
Author: Douglas Bates [aut] , Martin Maechler [aut, cre] , Mikael Jagan [aut] , Timothy A. Davis [ctb] , pattern="License", full.names=TRUE, recursive=TRUE)), George Karypis [ctb] , Jason Riedy [ctb] and onenormest, Copyright: Regents of the University of C [...truncated...]
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

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Package treasury updated to version 0.5.0 with previous version 0.4.0 dated 2025-08-26

Title: Client for US Treasury XML Feed and Published Data
Description: Download daily interest rates from the US Treasury XML feed. Leveraging <https://home.treasury.gov/treasury-daily-interest-rate-xml-feed>, this package serves as a wrapper, facilitating the retrieval of daily treasury rates across various categories, including par yield curves, treasury bills, long-term rates, and real yield curves.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package sigora updated to version 3.2.0 with previous version 3.1.1 dated 2021-11-30

Title: Signature Overrepresentation Analysis
Description: Pathway Analysis is statistically linking observations on the molecular level to biological processes or pathways on the systems(i.e., organism, organ, tissue, cell) level. Traditionally, pathway analysis methods regard pathways as collections of single genes and treat all genes in a pathway as equally informative. However, this can lead to identifying spurious pathways as statistically significant since components are often shared amongst pathways. SIGORA seeks to avoid this pitfall by focusing on genes or gene pairs that are (as a combination) specific to a single pathway. In relying on such pathway gene-pair signatures (Pathway-GPS), SIGORA inherently uses the status of other genes in the experimental context to identify the most relevant pathways. The current version allows for pathway analysis of human and mouse datasets. In addition, it contains pre-computed Pathway-GPS data for pathways in the KEGG and Reactome pathway repositories and mechanisms for extracting GPS for user-sup [...truncated...]
Author: Amir Foroushani [aut] , Fiona Brinkman [aut], David Lynn [aut], Witold Wolski [cre]
Maintainer: Witold Wolski <witold.wolski@fgcz.uzh.ch>

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Package rasterpic updated to version 0.4.0 with previous version 0.3.1 dated 2026-01-14

Title: Convert Digital Images into 'SpatRaster' Objects
Description: Generate 'SpatRaster' objects, as defined by the 'terra' package, from digital images, using a specified spatial object as a geographical reference.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package bbk updated to version 0.9.0 with previous version 0.8.0 dated 2025-10-01

Title: Client for Central Bank APIs
Description: A client for retrieving data and metadata from major central bank APIs. It supports access to the 'Bundesbank SDMX Web Service API' (<https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data>), the 'Swiss National Bank Data Portal' (<https://data.snb.ch/en>), the 'European Central Bank Data Portal API' (<https://data.ecb.europa.eu/help/api/overview>), the 'Bank of England Interactive Statistical Database' (<https://www.bankofengland.co.uk/boeapps/database>), the 'Banco de España API' (<https://www.bde.es/webbe/en/estadisticas/recursos/api-estadisticas-bde.html>), the 'Bank for International Settlements SDMX Web Service' (<https://stats.bis.org/api-doc/v1/>), the 'Banque de France Web Service' (<https://webstat.banque-france.fr/en/pages/guide-migration-api/>), the 'Norges Bank SDMX Web Service' (<https://www.norges-bank.no/en/topics/Statistics/open-data/>), the 'Oesterreichische Nat [...truncated...]
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package splitstackshape updated to version 1.4.8.1 with previous version 1.4.8 dated 2019-04-21

Title: Stack and Reshape Datasets After Splitting Concatenated Values
Description: Online data collection tools like Google Forms often export multiple-response questions with data concatenated in cells. The concat.split (cSplit) family of functions splits such data into separate cells. The package also includes functions to stack groups of columns and to reshape wide data, even when the data are "unbalanced"---something which reshape (from base R) does not handle, and which melt and dcast from reshape2 do not easily handle.
Author: Ananda Mahto [aut, cre]
Maintainer: Ananda Mahto <mrdwab@gmail.com>

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Package spatstat.geom updated to version 3.7-2 with previous version 3.7-0 dated 2026-01-20

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Warick Brown [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Martin Hazelton [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oeh [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package showtext updated to version 0.9-8 with previous version 0.9-7 dated 2024-03-02

Title: Using Fonts More Easily in R Graphs
Description: Making it easy to use various types of fonts ('TrueType', 'OpenType', Type 1, web fonts, etc.) in R graphs, and supporting most output formats of R graphics including PNG, PDF and SVG. Text glyphs will be converted into polygons or raster images, hence after the plot has been created, it no longer relies on the font files. No external software such as 'Ghostscript' is needed to use this package.
Author: Yixuan Qiu [aut, cre], Dave Raggett [ctb]
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

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Package panelView updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-11

Title: Visualizing Panel Data
Description: Visualizes panel data. It has three main functionalities: (1) it plots the treatment status and missing values in a panel dataset; (2) it visualizes the temporal dynamics of a main variable of interest; (3) it depicts the bivariate relationships between a treatment variable and an outcome variable either by unit or in aggregate. For details, see <doi:10.18637/jss.v107.i07>.
Author: Yiqing Xu [aut, cre] , Hongyu Mou [aut], Licheng Liu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package graphicalMCP updated to version 0.2.9 with previous version 0.2.8 dated 2025-05-06

Title: Graphical Multiple Comparison Procedures
Description: Multiple comparison procedures (MCPs) control the familywise error rate in clinical trials. Graphical MCPs include many commonly used procedures as special cases; see Bretz et al. (2011) <doi:10.1002/bimj.201000239>, Lu (2016) <doi:10.1002/sim.6985>, and Xi et al. (2017) <doi:10.1002/bimj.201600233>. This package is a low-dependency implementation of graphical MCPs which allow mixed types of tests. It also includes power simulations and visualization of graphical MCPs.
Author: Dong Xi [aut, cre], Ethan Brockmann [aut], Gilead Sciences, Inc. [cph, fnd]
Maintainer: Dong Xi <dong.xi1@gilead.com>

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Package connectapi updated to version 0.11.1 with previous version 0.11.0 dated 2026-02-25

Title: Utilities for Interacting with the 'Posit Connect' Server API
Description: Provides a helpful 'R6' class and methods for interacting with the 'Posit Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'Posit Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.posit.co/connect/api/>.
Author: Kara Woo [aut, cre], Toph Allen [aut], Neal Richardson [aut], Sean Lopp [aut], Cole Arendt [aut], Posit, PBC [cph, fnd]
Maintainer: Kara Woo <kara.woo@posit.co>

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Package CohortCharacteristics updated to version 1.1.2 with previous version 1.1.1 dated 2026-01-28

Title: Summarise and Visualise Characteristics of Patients in the OMOP CDM
Description: Summarise and visualise the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM).
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [ctb] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

Diff between CohortCharacteristics versions 1.1.1 dated 2026-01-28 and 1.1.2 dated 2026-03-21

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Fri, 20 Mar 2026

Package spatialreg updated to version 1.4-3 with previous version 1.4-2 dated 2025-09-06

Title: Spatial Regression Analysis
Description: A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximu [...truncated...]
Author: Roger Bivand [cre, aut] , Gianfranco Piras [aut], Luc Anselin [ctb] , Andrew Bernat [ctb], Eric Blankmeyer [ctb], Yongwan Chun [ctb] , Virgilio Gomez-Rubio [ctb] , Daniel Griffith [ctb] , Martin Gubri [ctb] , Rein Halbersma [ctb], James LeSage [ctb], [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package adespatial updated to version 0.3-29 with previous version 0.3-28 dated 2025-04-16

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.
Author: Stephane Dray [aut] , David Bauman [ctb], Guillaume Blanchet [ctb], Daniel Borcard [ctb], Sylvie Clappe [ctb], Guillaume Guenard [ctb] , Thibaut Jombart [ctb], Guillaume Larocque [ctb], Pierre Legendre [ctb] , Naima Madi [ctb], Helene H Wagner [ctb], [...truncated...]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package ade4 updated to version 1.7-24 with previous version 1.7-23 dated 2025-02-14

Title: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences
Description: Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.
Author: Stephane Dray [aut] , Anne-Beatrice Dufour [aut] , Jean Thioulouse [aut] , Daniel Chessel [ant], Thibaut Jombart [ctb], Sandrine Pavoine [ctb], Jean R. Lobry [ctb], Sebastien Ollier [ctb], Daniel Borcard [ctb], Pierre Legendre [ctb], Stephanie Bougea [...truncated...]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package matrixCorr updated to version 0.8.5 with previous version 0.8.4 dated 2026-03-03

Title: Collection of Correlation and Association Estimators
Description: Compute correlation and other association matrices from small to high-dimensional datasets with relative simple functions and sensible defaults. Includes options for shrinkage and robustness to improve results in noisy or high-dimensional settings (p >= n), plus convenient print/plot methods for inspection. Implemented with optimised C++ backends using BLAS/OpenMP and memory-aware symmetric updates. Works with base matrices and data frames, returning standard R objects via a consistent S3 interface. Useful across genomics, agriculture, and machine-learning workflows. Supports Pearson, Spearman, Kendall, distance correlation, partial correlation, and robust biweight mid-correlation; Bland–Altman analyses and Lin's concordance correlation coefficient (including repeated-measures extensions). Methods based on Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>; Schäfer and Strimmer (2005) <doi:10.2202/1544-6115.1175>; Lin (1989) <doi:10.2307/2532051>.
Author: Thiago de Paula Oliveira [aut, cre]
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@gmail.com>

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Package salmonMSE updated to version 1.0.0 with previous version 0.1.0 dated 2025-09-23

Title: Management Strategy Evaluation for Salmon Species
Description: Simulation tools to evaluate the long-term effects of salmon management strategies, including a combination of habitat, harvest, and habitat actions. The stochastic age-structured operating model accommodates complex life histories, including freshwater survival across early life stages, juvenile survival and fishery exploitation in the marine life stage, partial maturity by age class, and fitness impacts of hatchery programs on natural spawning populations. 'salmonMSE' also provides an age-structured conditioning model to develop operating models fitted to data.
Author: Quang Huynh [aut, cre]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package multiSA updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-03

Title: Multi-Stock Assessment
Description: Implementation of a next-generation, multi-stock age-structured fisheries assessment model. 'multiSA' is intended for use in mixed fisheries where stock composition can not be readily identified in fishery data alone, e.g., from catch and age/length composition. Models can be fitted to genetic data, e.g., stock composition of catches and close-kin pairs, with seasonal stock availability and movement.
Author: Quang Huynh [aut, cre]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package pks updated to version 0.7-0 with previous version 0.6-1 dated 2024-09-16

Title: Probabilistic Knowledge Structures
Description: Fitting and testing probabilistic knowledge structures, especially the basic local independence model (BLIM, Doignon & Flamagne, 1999) and the simple learning model (SLM), using the minimum discrepancy maximum likelihood (MDML) method (Heller & Wickelmaier, 2013 <doi:10.1016/j.endm.2013.05.145>).
Author: Florian Wickelmaier [aut, cre], Juergen Heller [aut], Julian Mollenhauer [aut], Pasquale Anselmi [ctb], Debora de Chiusole [ctb], Andrea Brancaccio [ctb], Luca Stefanutti [ctb], Paul Doerrbecker [ctb]
Maintainer: Florian Wickelmaier <wickelmaier@web.de>

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Package dipsaus updated to version 0.3.4 with previous version 0.3.3 dated 2026-01-09

Title: A Dipping Sauce for Data Analysis and Visualizations
Description: Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using the 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.
Author: Zhengjia Wang [aut, cre], John Magnotti [ctb] , Xiang Zhang [ctb]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package summata updated to version 0.11.4 with previous version 0.11.3 dated 2026-03-08

Title: Publication-Ready Summary Tables and Forest Plots
Description: A comprehensive framework for descriptive statistics and regression analysis that produces publication-ready tables and forest plots. Provides a unified interface from descriptive statistics through multivariable modeling, with support for linear models, generalized linear models, Cox proportional hazards, and mixed-effects models. Also includes univariable screening, multivariate regression, model comparison, and export to multiple formats including PDF, DOCX, PPTX, 'LaTeX', HTML, and RTF. Built on 'data.table' for computational efficiency.
Author: Paul Hsin-ti McClelland [aut, cre, cph]
Maintainer: Paul Hsin-ti McClelland <PaulHMcClelland@protonmail.com>

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Package docorator updated to version 0.6.0 with previous version 0.5.2 dated 2026-01-23

Title: Docorate (Decorate + Output) Displays
Description: A framework for creating production outputs. Users can frame a table, listing, or figure with headers and footers and save to an output file. Stores an intermediate 'docorator' object for reproducibility and rendering to multiple output types.
Author: Becca Krouse [aut, cre], Shannon Haughton [aut], Seongbin Hong [aut], Dragoș Moldovan-Gruenfeld [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Becca Krouse <becca.z.krouse@gsk.com>

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Package xfun updated to version 0.57 with previous version 0.56 dated 2026-01-18

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

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Package TmCalculator updated to version 1.0.4 with previous version 1.0.3 dated 2022-02-20

Title: A Calculator for Melting Temperature of Nucleic Acid Sequences
Description: A comprehensive R package for calculating melting temperatures of nucleic acid sequences. Implements three calculation methods: 1. Wallace rule (Thein & Wallace, 1986) 2. Empirical formulas based on GC content (Marmur, 1962; Schildkraut, 2010; Wetmur, 1991; Untergasser, 2012; von Ahsen, 2001) 3. Nearest neighbor thermodynamics (Breslauer, 1986; Sugimoto, 1996; Allawi, 1998; SantaLucia, 2004; Freier, 1986; Xia, 1998; Chen, 2012; Bommarito, 2000; Turner, 2010; Sugimoto, 1995; Allawi, 1997; Santalucia, 2005) Includes corrections for: - Salt ions (SantaLucia, 1996, 1998; Owczarzy, 2004, 2008) - Chemical compounds (dimethyl sulfoxide, formamide) Supports both direct sequence input and FASTA file input.
Author: Junhui Li [cre, aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

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Package RTMB updated to version 1.9 with previous version 1.8 dated 2025-10-14

Title: 'R' Bindings for 'TMB'
Description: Native 'R' interface to 'TMB' (Template Model Builder) so models can be written entirely in 'R' rather than 'C++'. Automatic differentiation, to any order, is available for a rich subset of 'R' features, including linear algebra for dense and sparse matrices, complex arithmetic, Fast Fourier Transform, probability distributions and special functions. 'RTMB' provides easy access to model fitting and validation following the principles of Kristensen, K., Nielsen, A., Berg, C. W., Skaug, H., & Bell, B. M. (2016) <DOI:10.18637/jss.v070.i05> and Thygesen, U.H., Albertsen, C.M., Berg, C.W. et al. (2017) <DOI:10.1007/s10651-017-0372-4>.
Author: Kasper Kristensen [aut, cre]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package reportRmd updated to version 0.1.3 with previous version 0.1.1 dated 2025-01-24

Title: Tidy Presentation of Clinical Reporting
Description: Streamlined statistical reporting in 'Rmarkdown' environments. Facilitates the automated reporting of descriptive statistics, multiple univariate models, multivariable models and tables combining these outputs. Plotting functions include customisable survival curves, forest plots from logistic and ordinal regression and bivariate comparison plots.
Author: Lisa Avery [cre, aut] , Ryan Del Bel [aut], Osvaldo Espin-Garcia [aut], Katherine Lajkosz [aut] , Clarina Ong [aut], Tyler Pittman [aut] , Anna Santiago [aut] , Yanning Wang [ctr], Jessica Weiss [aut], Wei Xu [aut]
Maintainer: Lisa Avery <lisa.avery@uhn.ca>

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Package couplr updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-20

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package biometrics updated to version 1.0.4 with previous version 1.0.3 dated 2026-03-03

Title: A Package for Biometrics and Modelling
Description: A system of functions and datasets to carry out quantitative analyses in the biological sciences. The package facilitates data management, exploratory analyses, and model assessment. Although it currently focuses on forest ecology, silviculture and decision-making, most of the package functions are applicable across several disciplines, including economics, environmental science, and healthcare.
Author: Christian Salas-Eljatib [aut, cre] , Nicolas Campos [ctb] , Marcos Marivil [ctb]
Maintainer: Christian Salas-Eljatib <cseljatib@gmail.com>

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Package rgbif updated to version 3.8.5 with previous version 3.8.4 dated 2025-11-13

Title: Interface to the Global Biodiversity Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/developer/summary>). GBIF is a database of species occurrence records from sources all over the globe. rgbif includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the GBIF tile map service to make rasters summarizing huge amounts of data.
Author: Scott Chamberlain [aut] , Damiano Oldoni [aut] , Vijay Barve [ctb] , Peter Desmet [ctb] , Laurens Geffert [ctb], Dan Mcglinn [ctb] , Karthik Ram [ctb] , rOpenSci [fnd] , John Waller [aut, cre]
Maintainer: John Waller <jwaller@gbif.org>

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Package arcgeocoder updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-15

Title: Geocoding with the 'ArcGIS' REST API Service
Description: Lite interface for finding locations of addresses or businesses around the world using the 'ArcGIS' REST API service <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>. Address text can be converted to location candidates and a location can be converted into an address. No API key required.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package tmbstan updated to version 1.1.0 with previous version 1.0.91 dated 2023-08-26

Title: MCMC Sampling from 'TMB' Model Object using 'Stan'
Description: Enables all 'rstan' functionality for a 'TMB' model object, in particular MCMC sampling and chain visualization. Sampling can be performed with or without Laplace approximation for the random effects. This is demonstrated in Monnahan & Kristensen (2018) <DOI:10.1371/journal.pone.0197954>.
Author: Kasper Kristensen [aut, cre]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package survPen updated to version 2.0.3 with previous version 2.0.2 dated 2025-03-08

Title: Multidimensional Penalized Splines for (Excess) Hazard Models, Relative Mortality Ratio Models and Marginal Intensity Models
Description: Fits (excess) hazard, relative mortality ratio or marginal intensity models with multidimensional penalized splines allowing for time-dependent effects, non-linear effects and interactions between several continuous covariates. In survival and net survival analysis, in addition to modelling the effect of time (via the baseline hazard), one has often to deal with several continuous covariates and model their functional forms, their time-dependent effects, and their interactions. Model specification becomes therefore a complex problem and penalized regression splines represent an appealing solution to that problem as splines offer the required flexibility while penalization limits overfitting issues. Current implementations of penalized survival models can be slow or unstable and sometimes lack some key features like taking into account expected mortality to provide net survival and excess hazard estimates. In contrast, survPen provides an automated, fast, and stable implementation (than [...truncated...]
Author: Mathieu Fauvernier [aut, cre], Laurent Roche [aut], Laurent Remontet [aut], Zoe Uhry [ctb], Nadine Bossard [ctb], Elsa Coz [ctb]
Maintainer: Mathieu Fauvernier <mathieu.fauvernier@gmail.com>

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Package wbids updated to version 1.1.5 with previous version 1.1.4 dated 2026-03-10

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

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Package inshiny updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-14

Title: Compact Inline Widgets for 'shiny' Apps
Description: Provides a basic set of compact widgets for 'shiny' apps which occupy less space and can appear inline with surrounding text.
Author: Nick Davies [aut, cre]
Maintainer: Nick Davies <nicholas.davies@lshtm.ac.uk>

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Package infocausality updated to version 1.1 with previous version 1.0 dated 2025-11-03

Title: Information-Theoretic Measure of Causality
Description: Methods for quantifying temporal and spatial causality through information flow, and decomposing it into unique, redundant, and synergistic components, following the framework described in Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>.
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>

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Package diseasystore updated to version 0.3.3 with previous version 0.3.2 dated 2025-10-17

Title: Feature Stores for the 'diseasy' Framework
Description: Simple feature stores and tools for creating personalised feature stores. 'diseasystore' powers feature stores which can automatically link and aggregate features to a given stratification level. These feature stores are automatically time-versioned (powered by the 'SCDB' package) and allows you to easily and dynamically compute features as part of your continuous integration.
Author: Rasmus Skytte Randloev [aut, cre] , Kaare Graesboell [rev] , Kasper Schou Telkamp [rev] , Lasse Engbo Christiansen [rev] , Marcus Munch Gruenewald [rev] , Sofia Myrup Otero [rev], Statens Serum Institut, SSI [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

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Package caugi updated to version 1.1.0 with previous version 1.0.0 dated 2026-01-22

Title: Causal Graph Interface
Description: Create, query, and modify causal graphs. 'caugi' (Causal Graph Interface) is a causality-first, high performance graph package that provides a simple interface to build, structure, and examine causal relationships.
Author: Frederik Fabricius-Bjerre [aut, cre, cph], Johan Larsson [aut] , Michael Sachs [aut] , Bjarke Hautop Kristensen [aut]
Maintainer: Frederik Fabricius-Bjerre <frederik@fabriciusbjerre.dk>

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Package bulkreadr updated to version 1.2.2 with previous version 1.2.1 dated 2025-07-28

Title: The Ultimate Tool for Reading Data in Bulk
Description: Designed to simplify and streamline the process of reading and processing large volumes of data in R, this package offers a collection of functions tailored for bulk data operations. It enables users to efficiently read multiple sheets from Microsoft Excel and Google Sheets workbooks, as well as various CSV files from a directory. The data is returned as organized data frames, facilitating further analysis and manipulation. Ideal for handling extensive data sets or batch processing tasks, bulkreadr empowers users to manage data in bulk effortlessly, saving time and effort in data preparation workflows. Additionally, the package seamlessly works with labelled data from SPSS and Stata.
Author: Ezekiel Ogundepo [aut, cre] , Ernest Fokoue [ctb] , Golibe Ezeechesi [ctb], Fatimo Adebanjo [ctb], Isaac Ajao [ctb]
Maintainer: Ezekiel Ogundepo <gbganalyst@gmail.com>

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Package vacalibration updated to version 2.2 with previous version 2.0 dated 2025-07-24

Title: Calibration of Computer-Coded Verbal Autopsy Algorithm
Description: Calibrates population-level cause-specific mortality fractions (CSMFs) that are derived using computer-coded verbal autopsy (CCVA) algorithms. Leveraging the data collected in the Child Health and Mortality Prevention Surveillance (CHAMPS;<https://champshealth.org/>) project, the package stores misclassification matrix estimates of three CCVA algorithms (EAVA, InSilicoVA, and InterVA) and two age groups (neonates aged 0-27 days, and children aged 1-59 months) across countries (specific estimates for Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa, and a combined estimate for all other countries), enabling global calibration. These estimates are obtained using the framework proposed in Pramanik et al. (2025;<doi:10.1214/24-AOAS2006>) and are analyzed in Pramanik et al. (2026;<doi:10.1136/bmjgh-2025-021747>). Given VA-only data for an age group, CCVA algorithm, and country, the package utilizes the corresponding misclassification matrix est [...truncated...]
Author: Sandipan Pramanik [aut, cre] , Emily Wilson [aut], Jacob Fiksel [aut], Brian Gilbert [aut], Abhirup Datta [aut]
Maintainer: Sandipan Pramanik <sandy.pramanik@gmail.com>

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Package processmapR readmission to version 0.5.8 with previous version 0.5.7 dated 2025-07-09

Title: Construct Process Maps Using Event Data
Description: Visualize event logs using directed graphs, i.e. process maps. Part of the 'bupaR' framework.
Author: Gert Janssenswillen [aut], Gerard van Hulzen [ctb], Benoît Depaire [cre], Felix Mannhardt [ctb], Thijs Beuving [ctb], urvikalia [ctb], Hasselt University [cph]
Maintainer: Benoît Depaire <benoit.depaire@uhasselt.be>

This is a re-admission after prior archival of version 0.5.7 dated 2025-07-09

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Package NCA updated to version 5.0.0 with previous version 4.0.5 dated 2025-12-21

Title: Necessary Condition Analysis
Description: Performs a Necessary Condition Analysis (NCA). (Dul, J. 2016. Necessary Condition Analysis (NCA). ''Logic and Methodology of 'Necessary but not Sufficient' causality." Organizational Research Methods 19(1), 10-52) <doi:10.1177/1094428115584005>. NCA identifies necessary (but not sufficient) conditions in datasets, where x causes (e.g. precedes) y. Instead of drawing a regression line ''through the middle of the data'' in an xy-plot, NCA draws the ceiling line. The ceiling line y = f(x) separates the area with observations from the area without observations. (Nearly) all observations are below the ceiling line: y <= f(x). The empty zone is in the upper left hand corner of the xy-plot (with the convention that the x-axis is ''horizontal'' and the y-axis is ''vertical'' and that values increase ''upwards'' and ''to the right''). The ceiling line is a (piecewise) linear non-decreasing line: a linear step function or a straight line. It indicates which level of x (e.g., an effort, [...truncated...]
Author: Jan Dul [aut], Govert Buijs [cre]
Maintainer: Govert Buijs <buijs@rsm.nl>

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Package Epi updated to version 2.63 with previous version 2.61 dated 2025-10-07

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>

Diff between Epi versions 2.61 dated 2025-10-07 and 2.63 dated 2026-03-20

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Package aftables updated to version 2.0.0 with previous version 1.0.1 dated 2025-02-19

Title: Create Spreadsheet Publications Following Best Practice
Description: Generate spreadsheet publications that follow best practice guidance from the UK government's Analysis Function, available at <https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/>, with a focus on accessibility. See also the 'Python' package 'gptables'.
Author: Matt Dray [aut], Tim Taylor [ctb], Matt Kerlogue [ctb], Crown Copyright [cph], Olivia Box Power [cre, ctb], Zachary Gleisner [ctb]
Maintainer: Olivia Box Power <Olivia.BoxPower@dhsc.gov.uk>

Diff between aftables versions 1.0.1 dated 2025-02-19 and 2.0.0 dated 2026-03-20

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Package EQUALPrognosis updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-04

Title: Analysing Prognostic Studies
Description: Functions that help with analysis of prognostic study data. This allows users with little experience of developing models to develop models and assess the performance of the prognostic models. This also summarises the information, so the performance of multiple models can be displayed simultaneously. This minor update fixes issues related to memory requirements with large number of simulations and deals with situations when there is overfitting of data. Gurusamy, K (2026)<https://github.com/kurinchi2k/EQUALPrognosis>.
Author: Kurinchi Gurusamy [aut, cre]
Maintainer: Kurinchi Gurusamy <k.gurusamy@ucl.ac.uk>

Diff between EQUALPrognosis versions 0.1.2 dated 2026-02-04 and 0.1.3 dated 2026-03-20

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Package edeaR updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-29

Title: Exploratory and Descriptive Event-Based Data Analysis
Description: Exploratory and descriptive analysis of event based data. Provides methods for describing and selecting process data, and for preparing event log data for process mining. Builds on the S3-class for event logs implemented in the package 'bupaR'.
Author: Benoît Depaire [cre], Gert Janssenswillen [aut], Gerard van Hulzen [ctb], Marijke Swennen [ctb], Ivan Esin [ctb], Felix Mannhardt [ctb], Hasselt University [cph]
Maintainer: Benoît Depaire <benoit.depaire@uhasselt.be>

Diff between edeaR versions 1.0.0 dated 2025-11-29 and 1.0.1 dated 2026-03-20

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Package dartR.sexlinked updated to version 1.2.2 with previous version 1.0.5 dated 2024-06-24

Title: Analysing SNP Data to Identify Sex-Linked Markers
Description: Identifies, filters and exports sex linked markers using 'SNP' (single nucleotide polymorphism) data. To install the other packages, we recommend to install the 'dartRverse' package, that supports the installation of all packages in the 'dartRverse'. If you want understand the applied rational to identify sexlinked markers and/or want to cite 'dartR.sexlinked', you find the information by typing citation('dartR.sexlinked') in the console.
Author: Diana Robledo-Ruiz [aut, cre], Floriaan Devloo-Delva [aut], Bernd Gruber [aut], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Peter J. Unmack [ctb], Oliver Berry [ctb]
Maintainer: Diana Robledo-Ruiz <diana.robledoruiz1@monash.edu>

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

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package panelsummary updated to version 0.1.3 with previous version 0.1.2.1 dated 2023-08-16

Title: Create Publication-Ready Regression Tables with Panels
Description: Create an automated regression table that is well-suited for models that are estimated with multiple dependent variables. 'panelsummary' extends 'modelsummary' (Arel-Bundock, V. (2022) <doi:10.18637/jss.v103.i01>) by allowing regression tables to be split into multiple sections with a simple function call. Utilize familiar arguments such as fmt, estimate, statistic, vcov, conf_level, stars, coef_map, coef_omit, coef_rename, gof_map, and gof_omit from 'modelsummary' to clean the table, and additionally, add a row for the mean of the dependent variable without external manipulation.
Author: Michael Topper [aut, cre], Vincent Arel-Bundock [cph]
Maintainer: Michael Topper <miketopper123@gmail.com>

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Package BayesSIM updated to version 1.0.2 with previous version 1.0.1 dated 2026-01-08

Title: Integrated Interface of Bayesian Single Index Models using 'nimble'
Description: Provides tools for fitting Bayesian single index models with flexible choices of priors for both the index and the link function. The package implements model estimation and posterior inference using efficient MCMC algorithms built on the 'nimble' framework, allowing users to specify, extend, and simulate models in a unified and reproducible manner. The following methods are implemented in the package: Antoniadis et al. (2004) <https://www.jstor.org/stable/24307224>, Wang (2009) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <doi:10.1080/10485251003768019>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.
Author: Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer: Seowoo Jung <jsw1347@ewha.ac.kr>

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Package XML updated to version 3.99-0.23 with previous version 3.99-0.22 dated 2026-02-10

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: CRAN Team [ctb] , Duncan Temple Lang [aut] , Tomas Kalibera [ctb], Ivan Krylov [cre]
Maintainer: Ivan Krylov <ikrylov@disroot.org>

Diff between XML versions 3.99-0.22 dated 2026-02-10 and 3.99-0.23 dated 2026-03-20

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Package TreeTools updated to version 2.2.0 with previous version 2.1.0 dated 2026-02-11

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; tree rearrangement; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of split support; plotting the position of rogue taxa (Klopfstein & Spasojevic 2019) <doi:10.1371/journal.pone.0212942>; calculation of ancestor-descendant relationships, of 'stemwardness' (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>, and of tree balance (Mir et al. 2013, Lemant et al. 2022) <doi:10.1016/j.mbs.2012.10.005>, <doi:10.1093/sysbio/syac027>; artificial extinction (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <https://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] , Emmanuel Paradis [cph] , Robert Noble [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeTools versions 2.1.0 dated 2026-02-11 and 2.2.0 dated 2026-03-20

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More information about TreeTools at CRAN
Permanent link

Package tgstat updated to version 2.3.32 with previous version 2.3.29 dated 2025-11-12

Title: Amos Tanay's Group High Performance Statistical Utilities
Description: A collection of high performance utilities to compute distance, correlation, auto correlation, clustering and other tasks. Contains graph clustering algorithm described in "MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions" (Yael Baran, Akhiad Bercovich, Arnau Sebe-Pedros, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz & Amos Tanay, 2019 <doi:10.1186/s13059-019-1812-2>).
Author: Michael Hoichman [aut], Aviezer Lifshitz [aut, cre]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

Diff between tgstat versions 2.3.29 dated 2025-11-12 and 2.3.32 dated 2026-03-20

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More information about tgstat at CRAN
Permanent link

Package rxode2 updated to version 5.0.2 with previous version 5.0.1 dated 2025-12-09

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Wenping Wang [aut], Alan Hindmarsh [ctb], Arun Srinivasan [ctb], Awad H. Al-Mohy [ctb], Bill Denney [ctb] , Cleve Moler [ctb], David Cooley [ctb], Drew Schmidt [ctb], Ernst Hairer [ctb], Gabriel Staples [ctb], Gerhard W [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between rxode2 versions 5.0.1 dated 2025-12-09 and 5.0.2 dated 2026-03-20

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 tests/testthat/test-ui-drop-lines.R               |   14 
 tests/testthat/test-ui-dv.R                       |    6 
 tests/testthat/test-ui-fix-unfix.R                |   16 
 tests/testthat/test-ui-ini-lotri.R                |    4 
 tests/testthat/test-ui-ini-str.R                  |    4 
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 tests/testthat/test-ui-piping-single-endpoint.R   |   12 
 tests/testthat/test-ui-piping.R                   |  264 ++++----
 tests/testthat/test-ui-promote.R                  |   10 
 tests/testthat/test-ui-rename.R                   |  118 +++
 tests/testthat/test-ui-simulation.R               |  116 +--
 tests/testthat/test-utils.R                       |    4 
 tests/testthat/test-zzzz-plot.R                   |  466 +++++++-------
 tests/testthat/testthat-problems.rds              |only
 175 files changed, 3706 insertions(+), 2747 deletions(-)

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Package RcppSpdlog updated to version 0.0.28 with previous version 0.0.27 dated 2026-02-12

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel [aut, cre] , Gabi Melman [aut] , Victor Zverovic [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSpdlog versions 0.0.27 dated 2026-02-12 and 0.0.28 dated 2026-03-20

 ChangeLog           |   13 +++++++++++++
 DESCRIPTION         |    8 ++++----
 MD5                 |   12 ++++++------
 build/partial.rdb   |binary
 build/vignette.rds  |binary
 inst/NEWS.Rd        |    7 +++++++
 src/RcppExports.cpp |   32 ++++++++++++++++----------------
 7 files changed, 46 insertions(+), 26 deletions(-)

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Package quickSentiment updated to version 0.3.2 with previous version 0.3.1 dated 2026-03-01

Title: A Fast and Flexible Pipeline for Text Classification
Description: A high-level pipeline that simplifies text classification into three streamlined steps: preprocessing, model training, and standardized prediction. It unifies the interface for multiple algorithms (including 'glmnet', 'ranger', 'xgboost', and 'naivebayes') and memory-efficient sparse matrix vectorization methods (Bag-of-Words, Term Frequency, TF-IDF, and Binary). Users can go from raw text to a fully evaluated sentiment model, complete with ROC-optimized thresholds, in just a few function calls. The resulting model artifact automatically aligns the vocabulary of new datasets during the prediction phase, safely appending predicted classes and probability matrices directly to the user's original dataframe to preserve metadata.
Author: Alabhya Dahal [aut, cre]
Maintainer: Alabhya Dahal <alabhya.dahal@gmail.com>

Diff between quickSentiment versions 0.3.1 dated 2026-03-01 and 0.3.2 dated 2026-03-20

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 quickSentiment-0.3.2/quickSentiment/LICENSE                                      |    4 
 quickSentiment-0.3.2/quickSentiment/MD5                                          |   29 +--
 quickSentiment-0.3.2/quickSentiment/NAMESPACE                                    |   11 -
 quickSentiment-0.3.2/quickSentiment/NEWS.md                                      |   19 --
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 quickSentiment-0.3.2/quickSentiment/R/pipeline.R                                 |   59 +------
 quickSentiment-0.3.2/quickSentiment/R/prediction.R                               |   22 +-
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 quickSentiment-0.3.2/quickSentiment/R/route_prediction.R                         |    8 
 quickSentiment-0.3.2/quickSentiment/README.md                                    |   30 +--
 quickSentiment-0.3.2/quickSentiment/build/vignette.rds                           |binary
 quickSentiment-0.3.2/quickSentiment/inst/doc/introduction-to-quickSentiment.html |   82 +++++-----
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 quickSentiment-0.3.2/quickSentiment/man/predict_sentiment.Rd                     |    2 
 19 files changed, 122 insertions(+), 156 deletions(-)

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