Sat, 04 Jul 2026

Package mhcnuggetsr updated to version 1.2.6 with previous version 1.1 dated 2020-11-04

Title: Call MHCnuggets
Description: MHCnuggets (<https://github.com/KarchinLab/mhcnuggets>) is a Python tool to predict MHC class I and MHC class II epitopes. This package allows one to call MHCnuggets from R.
Author: Richel J.C. Bilderbeek [aut, cre] , Joshua van Waardenberg [ctb]
Maintainer: Richel J.C. Bilderbeek <rjcbilderbeek@gmail.com>

Diff between mhcnuggetsr versions 1.1 dated 2020-11-04 and 1.2.6 dated 2026-07-04

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Package fpsim updated to version 0.2.0 with previous version 0.1.0 dated 2025-08-18

Title: Compute Measures of Foreign Policy Similarity/Agreement
Description: Provides functions for calculating various measures of foreign policy similarity or association commonly used in the study of international relations. These include Signorino and Ritter's S statistic (weighted and unweighted), Benati and Capurri's chance-corrected S statistic (A), Cohen's weighted kappa, Scott's pi, and Kendall's tau-b. The package facilitates the generation of dyadic similarity scores for empirical analyses and can also serve as an educational resource for understanding how such measures are calculated.
Author: Steven Miller [aut, cre]
Maintainer: Steven Miller <steve@svmiller.com>

Diff between fpsim versions 0.1.0 dated 2025-08-18 and 0.2.0 dated 2026-07-04

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Package amregtest updated to version 1.1.0 with previous version 1.0.10 dated 2026-06-28

Title: Runs Allelematch Regression Tests
Description: Automates regression testing of package 'allelematch'. Over 2500 tests cover all functions in 'allelematch', reproduce the examples from the documentation, and include negative tests. The implementation is based on 'testthat'.
Author: Department of Wildlife, Fish and Environmental Studies at Swedish University of Agricultural Sciences [cph], Goeran Spong [cph] , Paul Galpern [ctb] , Torvald Staxler [aut, cre]
Maintainer: Torvald Staxler <torvald.staxler@telia.com>

Diff between amregtest versions 1.0.10 dated 2026-06-28 and 1.1.0 dated 2026-07-04

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Package hypertext updated to version 1.4.0 with previous version 1.3.0 dated 2026-06-21

Title: 'HTML' Element Construction
Description: Provides a deterministic, framework-agnostic Domain-Specific Language for building 'HTML' nodes and rendering them to a string.
Author: Kennedy Mwavu [aut, cre] , Sigflux [cph, fnd]
Maintainer: Kennedy Mwavu <mwavukennedy@gmail.com>

Diff between hypertext versions 1.3.0 dated 2026-06-21 and 1.4.0 dated 2026-07-04

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Package drogonR updated to version 0.1.8 with previous version 0.1.6 dated 2026-05-13

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

Diff between drogonR versions 0.1.6 dated 2026-05-13 and 0.1.8 dated 2026-07-04

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Package fixes updated to version 0.12.0 with previous version 0.11.2 dated 2026-06-11

Title: Staggered DiD Tools: Event Studies and ATT Aggregation
Description: Provides tools for difference-in-differences (DiD) estimation and visualization with staggered adoption. Includes run_es() for event-study curves (dynamic effects by relative time) and calc_att() for aggregated ATT estimation (overall, by cohort, by calendar time). Supports multiple modern estimators: Callaway-Sant'Anna (2021), Sun-Abraham (2021), Borusyak-Jaravel-Spiess (2024), Wooldridge TWM, and Deb et al. FLEX.
Author: Yosuke Abe [aut, cre]
Maintainer: Yosuke Abe <yosuke.abe0507@gmail.com>

Diff between fixes versions 0.11.2 dated 2026-06-11 and 0.12.0 dated 2026-07-04

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Package futureverse updated to version 0.3.0 with previous version 0.2.0 dated 2026-01-28

Title: Install 'Futureverse' in One Go
Description: The 'Futureverse' is a set of packages for parallel and distributed processing with the 'future' package at its core (Bengtsson, 2021, <doi:10.32614/RJ-2021-048>). Another notable component is the 'futurize' package (Bengtsson, 2026, <doi:10.48550/arXiv.2601.17578>) for turning common sequential calls into parallel ones via a single function futurize(). Similarly, the progressify() of the 'progressify' package makes common calls to report of progress. This package is designed to make it easy to install common 'Futureverse' packages in a single step. This package is intended for end-users, interactive use, and R scripts. Packages must not list it as a dependency - instead, explicitly declare each 'Futureverse' package as a dependency as needed.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package aire.zmvm updated to version 1.0.2 with previous version 1.0.1 dated 2026-03-05

Title: Download Mexico City Pollution, Wind, and Temperature Data
Description: Tools for downloading hourly averages, daily maximums and minimums from each of the pollution, wind, and temperature measuring stations or geographic zones in the Mexico City metro area. The package also includes the locations of each of the stations and zones. See <http://aire.cdmx.gob.mx/> for more information.
Author: Diego Valle-Jones [aut, cre]
Maintainer: Diego Valle-Jones <diego@diegovalle.net>

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Package ino updated to version 1.2.1 with previous version 1.2.0 dated 2025-10-26

Title: Initialization of Numerical Optimization
Description: Analysis of the initialization for numerical optimization of real-valued functions, particularly likelihood functions of statistical models. See <https://loelschlaeger.de/ino/> for more details.
Author: Lennart Oelschlaeger [aut, cre] , Marius Oetting [aut] , Dietmar Bauer [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

Diff between ino versions 1.2.0 dated 2025-10-26 and 1.2.1 dated 2026-07-04

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Package fiber updated to version 0.2.0 with previous version 0.1.2 dated 2026-05-30

Title: S7 Data Structures for Diffusion MRI Tractography
Description: Provides three S7 classes — streamline, bundle, and bundle_set — for representing diffusion MRI tractography data in R, together with a concise set of methods for computing shape descriptors (arc-length, curvature, torsion, sinuosity), the Hausdorff distance between streamlines, arc-length reparametrization of streamlines and bundles onto uniform grids, combination of streamlines or bundles into a single bundle, combination of bundles from multiple subjects or sessions into a bundle_set, and coercion to and from the dwiFiber S4 class of the 'dti' package. See Dell'Acqua, F., Descoteaux, M. and Leemans, A. (2024) "Handbook of Diffusion MR Tractography" <doi:10.1016/C2018-0-02520-7> for more about the mathematical and computational underpinnings of diffusion MRI tractography.
Author: Aymeric Stamm [aut, cre]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>

Diff between fiber versions 0.1.2 dated 2026-05-30 and 0.2.0 dated 2026-07-04

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Package sceua updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-26

Title: Shuffled Complex Evolution Algorithm for Optimization
Description: Provides an 'R' interface to a 'Rust' implementation of the Shuffled Complex Evolution - University of Arizona (SCE-UA) global optimization algorithm (Duan et al., 1992). SCE-UA combines simplex search, competitive evolution, and complex shuffling to solve nonlinear, non-convex, continuous parameter estimation problems. The method is commonly used for calibrating hydrological and environmental models and follows the algorithm proposed by Duan et al. (1992) <doi:10.1029/91WR02985>.
Author: Anatoly Tsyplenkov [aut, cre, cph]
Maintainer: Anatoly Tsyplenkov <atsyplenkov@fastmail.com>

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Package ExpressionCellNet updated to version 0.1.2 with previous version 0.1.1 dated 2026-03-04

Title: Network-Based Analysis of Gene Expression Perturbations
Description: Network-centric framework for integrative analysis of high-throughput gene expression data using user-supplied gene-gene interaction graphs. Constructs seed-centered multi-generation networks constrained by expression correlations and simulates expression perturbation scenarios via regression-based prediction (van Dam, 2018).
Author: Ehsan Keramati [aut, cre]
Maintainer: Ehsan Keramati <ehsan.keramati14@gmail.com>

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Package snapKrig updated to version 0.0.3 with previous version 0.0.2 dated 2023-05-06

Title: Fast Kriging and Geostatistics on Grids with Kronecker Covariance
Description: Geostatistical modeling and kriging with gridded data using spatially separable covariance functions (Kronecker covariances). Kronecker products in these models provide shortcuts for solving large matrix problems in likelihood and conditional mean, making 'snapKrig' computationally efficient with large grids. The package supplies its own S3 grid object class, and a host of methods including plot, print, Ops, square bracket replace/assign, and more. Our computational methods are described in Koch, Lele, Lewis (2020) <doi:10.7939/r3-g6qb-bq70>.
Author: Dean Koch [aut, cre, cph]
Maintainer: Dean Koch <deankoch@gmail.com>

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Package rasterbc updated to version 1.0.3 with previous version 1.0.2 dated 2023-11-09

Title: Access Forest Ecology Layers for British Columbia in 2001-2018
Description: R-based access to a large set of data variables relevant to forest ecology in British Columbia (BC), Canada. Layers are in raster format at 100m resolution in the BC Albers projection, hosted at the Federated Research Data Repository (FRDR) with <doi:10.20383/101.0283>. The collection includes: elevation; biogeoclimatic zone; wildfire; cutblocks; forest attributes from Hansen et al. (2013) <doi:10.1139/cjfr-2013-0401> and Beaudoin et al. (2017) <doi:10.1139/cjfr-2017-0184>; and rasterized Forest Insect and Disease Survey (FIDS) maps for a number of insect pest species, all covering the period 2001-2018. Users supply a polygon or point location in the province of BC, and 'rasterbc' will download the overlapping raster tiles hosted at FRDR, merging them as needed and returning the result in R as a 'SpatRaster' object. Metadata associated with these layers, and code for downloading them from their original sources can be found in the 'github' repository <https://githu [...truncated...]
Author: Dean Koch [aut, cre]
Maintainer: Dean Koch <deankoch@gmail.com>

Diff between rasterbc versions 1.0.2 dated 2023-11-09 and 1.0.3 dated 2026-07-04

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Package pureseqtmr updated to version 1.4.2 with previous version 1.4 dated 2023-04-06

Title: Predict Transmembrane Protein Topology
Description: Proteins reside in either the cell plasma or in the cell membrane. A membrane protein goes through the membrane at least once. Given the amino acid sequence of a membrane protein, the tool 'PureseqTM' (<https://github.com/PureseqTM/pureseqTM_package>, as described in "Efficient And Accurate Prediction Of Transmembrane Topology From Amino acid sequence only.", Wang, Qing, et al (2019), <doi:10.1101/627307>), can predict the topology of a membrane protein. This package allows one to use 'PureseqTM' from R.
Author: Richel J.C. Bilderbeek [aut, cre]
Maintainer: Richel J.C. Bilderbeek <rjcbilderbeek@gmail.com>

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Package duckspatial updated to version 1.2.1 with previous version 1.2.0 dated 2026-07-02

Title: R Interface to 'DuckDB' Database with Spatial Extension
Description: Fast and memory-efficient functions to analyze and manipulate large spatial datasets. It leverages the fast analytical capabilities of ‘DuckDB’ and its spatial extension (see <https://duckdb.org/docs/stable/core_extensions/spatial/overview>) while maintaining compatibility with R’s spatial data ecosystem to work with spatial vector data.
Author: Adrian Cidre Gonzalez [aut, cre] , Egor Kotov [aut] , Rafael H. M. Pereira [aut]
Maintainer: Adrian Cidre Gonzalez <adrian.cidre@gmail.com>

Diff between duckspatial versions 1.2.0 dated 2026-07-02 and 1.2.1 dated 2026-07-04

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 9 files changed, 53 insertions(+), 31 deletions(-)

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Package CNVScope updated to version 3.7.6 with previous version 3.7.5 dated 2026-07-03

Title: A Versatile Toolkit for Copy Number Variation Relationship Data Analysis and Visualization
Description: Provides the ability to create interaction maps, discover CNV map domains (edges), gene annotate interactions, and create interactive visualizations of these CNV interaction maps.
Author: James Dalgleish [aut, cre] , Yonghong Wang [aut], Jack Zhu [aut], Paul Meltzer [aut, sad]
Maintainer: James Dalgleish <jamesdalg@gmail.com>

Diff between CNVScope versions 3.7.5 dated 2026-07-03 and 3.7.6 dated 2026-07-04

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 R/getInterchromosomalInteractivePlot.R |    4 +++-
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 R/rebinGenomicInteractions.R           |    5 +++--
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 10 files changed, 45 insertions(+), 31 deletions(-)

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Package chouca updated to version 0.1.991 with previous version 0.1.99 dated 2024-03-07

Title: A Stochastic Cellular Automaton Engine
Description: An engine for stochastic cellular automata. It provides a high-level interface to declare a model, which can then be simulated by various backends (Genin et al. (2023) <doi:10.1101/2023.11.08.566206>).
Author: Alexandre Genin [aut, cre] , Guillaume Dupont [aut], Daniel Valencia [aut], Mauro Zucconi [aut], M. Isidora Avila-Thieme [aut], Sergio A. Navarrete [aut], Evie A. Wieters [aut]
Maintainer: Alexandre Genin <alexandre.genin@inrae.fr>

Diff between chouca versions 0.1.99 dated 2024-03-07 and 0.1.991 dated 2026-07-04

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 12 files changed, 425 insertions(+), 379 deletions(-)

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New package WMFM with initial version 1.0.4
Package: WMFM
Title: Explore Fitted Linear and Generalised Linear Models with 'shiny'
Version: 1.0.4
Description: Provides a 'shiny' application that helps learners connect regression tables to fitted generalised linear models. Users construct models via drag-and-drop controls, obtain fitted equations and plain-language explanations generated by a large language model, and can view plots of the fitted model in settings with a single continuous covariate.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/jmcurran/WMFM
BugReports: https://github.com/jmcurran/WMFM/issues
Depends: R (>= 4.1.0)
Imports: bslib, ellmer, ggplot2, ggrepel, glue, grDevices, htmltools, jsonlite, patchwork, rlang, s20x, sandwich, scales, shiny, sodium, sortable, tibble, utils, yaml
Suggests: clipr, devtools, rstudioapi, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-06-21 21:50:38 UTC; james
Author: James Curran [aut, cre]
Maintainer: James Curran <j.curran@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2026-07-04 08:10:06 UTC

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New package tinytrail with initial version 0.1.0
Package: tinytrail
Title: Lightweight Auto-Updating Project Tracker and Data Dictionary
Version: 0.1.0
Description: Once initialized, the package leaves a 'tiny trail' of human- and AI-readable text that makes it effortless to keep track of small to medium-sized projects. The package is lightweight (hence 'tiny') and maintains a YAML trail file recording which scripts produced which output files. Call tinytrail() once at the top of each script to record metadata, wrap any save call with tinytrail_write() to log the output path, and optionally use tinytrail_dict() to capture a data dictionary for each input data frame.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: yaml
Encoding: UTF-8
Language: en-US
URL: https://github.com/tinytrail-r/tinytrail, https://tinytrail-r.github.io/tinytrail/
BugReports: https://github.com/tinytrail-r/tinytrail/issues
Suggests: arrow, data.table, ggplot2, haven, jsonlite, kableExtra, knitr, openxlsx, purrr, readr, rmarkdown, rstudioapi, testthat (>= 3.0.0), tinytable, withr, writexl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-30 06:26:03 UTC; tomas
Author: Tomas Reivinger [aut, cre, cph]
Maintainer: Tomas Reivinger <tomas.reivinger@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-04 08:40:02 UTC

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New package thamesblock with initial version 0.1.0
Package: thamesblock
Title: Truncated Harmonic Mean Estimator of the Marginal Likelihood for Block Models
Version: 0.1.0
Description: Implements the truncated harmonic mean estimator (THAMES) and other estimators of the reciprocal marginal likelihood for block models. This is done via reciprocal importance sampling, using posterior samples and unnormalized log posterior values. For further information see Metodiev, Perrot-Dockès, Fouetilou, Latouche & Raftery (2026).
License: GPL (>= 3)
Encoding: UTF-8
Imports: mclust, stats, combinat, withr, Matrix, label.switching
NeedsCompilation: no
Packaged: 2026-06-29 11:51:06 UTC; metodiev
Author: Martin Metodiev [aut, cre, cph]
Maintainer: Martin Metodiev <m.metodiev@tutanota.com>
Repository: CRAN
Date/Publication: 2026-07-04 08:40:08 UTC

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New package rCTOOL with initial version 3.1.0
Package: rCTOOL
Title: Soil Organic Carbon Turnover Modelling with 'C-TOOL'
Version: 3.1.0
Description: Provides an 'R' interface to the 'C-TOOL' soil carbon turnover model for simulating soil organic carbon dynamics in agricultural systems. The package supports the definition of carbon inputs, management schedules, soil parameters, and temperature forcing, and includes tools for scenario analysis and calibration of selected model parameters against observed soil organic carbon stocks. The 'C-TOOL' model and related modelling framework are described by Petersen et al. (2002) <doi:10.1016/S0304-3800(02)00034-0>, Petersen et al. (2005) <doi:10.1016/j.soilbio.2004.08.006>, Petersen et al. (2013) <doi:10.1016/j.jclepro.2013.03.007>, and Taghizadeh-Toosi et al. (2014) <doi:10.1016/j.ecolmodel.2014.08.016>. Further applications and developments are described by Taghizadeh-Toosi et al. (2016) <doi:10.1016/j.agsy.2016.03.004>, Keel et al. (2017) <doi:10.1111/ejss.12454>, Taghizadeh-Toosi et al. (2020) <doi:10.1007/s11104-020-04500-9>, and Taghizadeh-Toos [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: data.table, utils
Suggests: dplyr, ggplot2, knitr, rmarkdown, reshape2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-30 06:59:36 UTC; au801188
Author: Evandro H. Figueiredo Moura da Silva [aut], Joao Serra [aut], Franca Giannini-Kurina [aut, cre]
Maintainer: Franca Giannini-Kurina <francagk@agro.au.dk>
Repository: CRAN
Date/Publication: 2026-07-04 08:50:02 UTC

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New package outliersHD with initial version 1.0
Package: outliersHD
Title: Detection of Outliers in High Dimensional Data
Version: 1.0
Date: 2026-06-29
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, Rfast2, Rnanoflann, stats
Description: Algorithms to detect high-dimensional outliers. The minimum diagonal product of Ro, Zou, Wang and Yin (2015) <doi:10.1093/biomet/asv021>, the algorithm of Wilkinson (2018) <doi:10.1109/TVCG.2017.2744685>, and the distances of distances of Lee and Jeon (2025) <doi:10.48550/arXiv.2511.02199>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-06-29 07:05:41 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-07-04 08:10:02 UTC

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New package kernda with initial version 1.0
Package: kernda
Title: Kernel Discriminant Analysis
Version: 1.0
Date: 2026-06-29
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, Rfast, Rcpp, kernreg
LinkingTo: Rcpp
Description: Functions to perform discriminant analysis using kernel density estimation. For the case of binary classification the package relies on the Nadaraya-Watson estimator. References: Wand M.P. and Jones M.C. (1995). "Kernel smoothing". CRC Press. <ISBN: 0412552701>.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2026-06-29 11:40:13 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-07-04 08:40:13 UTC

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New package IBGS with initial version 1.0.0
Package: IBGS
Title: Iterated Block Gibbs Sampler for Ultrahigh-Dimensional Variable Selection and Model Averaging
Version: 1.0.0
Description: Variable selection for generalized linear models and the Cox proportional-hazards model in ultrahigh dimensions via the iterated block Gibbs sampler (IBGS). The sampler is implemented in C with parallel block screening through 'OpenMP', and supports the gaussian, binomial and poisson families (fitted by least squares or iteratively reweighted least squares) as well as the Cox model for survival analysis (fitted by its Efron partial likelihood), together with the AIC, BIC, AICc and extended BIC model selection criteria.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: graphics, stats
NeedsCompilation: yes
Packaged: 2026-06-29 10:07:42 UTC; lizhongc
Author: Lizhong Chen [aut, cre]
Maintainer: Lizhong Chen <chen.l@wehi.edu.au>
Repository: CRAN
Date/Publication: 2026-07-04 08:30:06 UTC

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New package abcpp with initial version 1.0.0
Package: abcpp
Title: Shared C++ Backend for Approximate Bayesian Computation
Version: 1.0.0
Author: Mengzhen Hu [aut, cre], Katalin Csillery [ctb, cph], Louisiane Lemaire [ctb, cph], Olivier Francois [ctb, cph], Michael Blum [ctb, cph]
Maintainer: Mengzhen Hu <hmz1969a@gmail.com>
Description: Provides a compact C++ backend for Approximate Bayesian Computation (ABC) with a thin R frontend. The current implementation is primarily a C++ reimplementation of offline ABC workflows provided by the R 'abc' package <doi:10.32614/CRAN.package.abc>, with the public R interface intentionally kept small and centered on abc() and summary() methods. The computational work is performed by shared C++ code. In addition to reproducing common 'abc' workflows, the package adds optional dimensionality reduction of summary statistics through Principal Component Analysis (PCA) and Partial Least Squares (PLS), following related ideas described by Bazin et al. (2010) <doi:10.1534/genetics.109.112391> and Wegmann et al. (2009) <doi:10.1534/genetics.109.102509>.
License: GPL-3
URL: https://github.com/yuki-961004/abcpp
BugReports: https://github.com/yuki-961004/abcpp/issues
Encoding: UTF-8
ByteCompile: true
Depends: R (>= 4.1.0)
Imports: Rcpp
LinkingTo: Rcpp
SystemRequirements: C++17
Suggests: abc, testthat
NeedsCompilation: yes
Packaged: 2026-06-29 09:24:21 UTC; hmz19
Repository: CRAN
Date/Publication: 2026-07-04 08:30:02 UTC

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New package vrpr with initial version 0.1.0
Package: vrpr
Title: Vehicle Routing Problem Solver Built on 'PyVRP'
Version: 0.1.0
Description: A 'tidyverse'-style interface to high-performance vehicle routing problem (VRP) solving. Vendors the C++ core of the 'PyVRP' solver (<https://github.com/PyVRP/PyVRP>) and rewires it through 'cpp11', with no 'Python' runtime dependency. Supports the capacitated VRP, time windows, multiple depots, heterogeneous fleets, prize-collecting and multi-trip variants, driven by an iterated local search metaheuristic.
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/vrpr, https://strategicprojects.github.io/vrpr/
BugReports: https://github.com/StrategicProjects/vrpr/issues
Encoding: UTF-8
Depends: R (>= 4.3)
Imports: cli, rlang, stats, tibble, vctrs
LinkingTo: cpp11
Suggests: ggplot2, knitr, reticulate, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
SystemRequirements: C++20, GNU make
NeedsCompilation: yes
Packaged: 2026-06-28 13:14:25 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut], Niels Wouda [ctb, cph] , Thibaut Vidal [cph] , ORTEC [cph]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-07-04 07:10:02 UTC

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New package tripaccess with initial version 0.1.0
Package: tripaccess
Title: American Travel Behavior and Access Datasets
Version: 0.1.0
Description: Subsets of data from the National Household Travel Survey 2017. It includes personal trips, mobility, demographic, and household information. It is suitable for data visualization, data wrangling, joining datasets, exploratory data analysis, group comparisons, simple linear regression, categorical data analysis, and data ethics discussion in data science and statistics classes.
License: CC0 | file LICENSE
Encoding: UTF-8
URL: https://github.com/scao53/tripaccess
BugReports: https://github.com/scao53/tripaccess/issues
Depends: R (>= 4.1.0)
LazyData: true
LazyDataCompression: xz
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyverse, tidytree, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-28 11:58:25 UTC; scao
Author: Shiya Cao [aut, cre], Amber Zhang [ctb], Anna Zhao [ctb], Smith College [cph]
Maintainer: Shiya Cao <scao53@smith.edu>
Repository: CRAN
Date/Publication: 2026-07-04 07:10:08 UTC

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New package NPBBBdesigns with initial version 1.0.0
Package: NPBBBdesigns
Title: Construction and a-Efficiency of Nested Partially Balanced Bipartite Block Designs
Version: 1.0.0
Maintainer: Vinayaka <vinayaka.b3vs@gmail.com>
Description: Construction and evaluation of nested partially balanced bipartite block (NPBBB) designs for comparing a set of test treatments with a set of control treatments under a nested (blocks within blocks) structure. Six systematic construction methods are provided: composing partially balanced bipartite block designs with nested balanced incomplete block designs; augmenting nested partially balanced incomplete block designs with controls; merging rows of group-divisible nested designs; direct construction from group-divisible schemes; and expansion of partially balanced incomplete block designs (Vinayaka et al. 2026: In press). The A-efficiencies of the block and sub-block classifications are computed against the A-optimal completely symmetric reference design, following the test-versus-control optimality framework of Gupta and Parsad (1996) <doi:10.1080/03610929608831743> and Vinayaka et al. (2024) <doi:10.1080/03610926.2023.2251623>. These designs are particularly suited to agr [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-06-28 19:46:19 UTC; DELL
Author: Vinayaka [aut, cre] , Rajender Parsad [aut, ctb], B.N. Mandal [aut, ctb], L.N. Vinaykumar [aut, ctb], Gopalareddy Krishnappa [aut, ctb]
Repository: CRAN
Date/Publication: 2026-07-04 07:30:02 UTC

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New package Linda with initial version 1.3
Package: Linda
Title: Line Transect-Based Nearest Neighbor Distance Analysis
Version: 1.3
Date: 2026-06-28
Description: Conducting Line transect-based one-dimensional nearest neighbor distance and conducting hypothesis testing related to local distributional aggregation pattern of species. The reason that such a package is needed is because traditional two-dimensional nearest neighbor distance is not applicable when biodiversity data are sampled via optimal ecological survey methods, like line transects. In comparison to the entire studied region, line transect-collected local biodiversity data are spatially constrained and sampling-limited. To this end, two-dimensional nearest neighbor distance would tend to over-estimate distributional aggregation pattern of species when using this limited biodiversity information. Accordingly, one-dimensional nearest neighbor distance is needed and the associated statistical testing should be established for analyzing line transect-derived biodiversity data.
Maintainer: Youhua Chen <chenyh@cib.ac.cn>
License: GPL-3
Imports: doParallel, foreach,iterators,parallel,stats
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-28 15:14:27 UTC; lloony
Author: Youhua Chen [aut, cre], Tsung-Jen Shen [aut], Xiaoqin Shi [ctb]
Repository: CRAN
Date/Publication: 2026-07-04 07:20:02 UTC

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New package gpbiometrics with initial version 0.1.0
Package: gpbiometrics
Title: Process and Report Gazepoint Biometrics Data
Version: 0.1.0
Description: Imports, validates, quality-checks, preprocesses, summarises, synchronises, models, plots, and reports Gazepoint Biometrics exports. The package focuses on Gazepoint-specific biometric channels such as GSR/EDA, heart rate, interbeat intervals, pulse signals, engagement dial, TTL markers, and synchronisation fields that can be combined with Gazepoint GP3 and GP3 HD eye-tracking workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Suggests: ggplot2, knitr, reticulate, rmarkdown, shiny, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-28 01:00:37 UTC; Stefanos-PC
Author: Stefanos Balaskas [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>
Repository: CRAN
Date/Publication: 2026-07-04 07:10:15 UTC

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New package ggChinaFlag with initial version 0.2.0
Package: ggChinaFlag
Title: Drawing Chinese National and Historical Flags with 'ggplot2'
Version: 0.2.0
Description: Provides programmatic implementations for drawing Chinese national and historical flags using analytic geometry and 'ggplot2'-based vector graphics. Flag designs are constructed entirely from geometric primitives such as polygons and rectangles, without relying on external image files. The package is intended for educational demonstration, reproducible visualization, and procedural graphics in R.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, dplyr, showtext, ggforce
URL: https://github.com/XLions/ggChinaFlag
BugReports: https://github.com/XLions/ggChinaFlag/issues
NeedsCompilation: no
Packaged: 2026-06-28 13:25:23 UTC; lzs19
Author: Zhaoshuo Liu [aut, cre]
Maintainer: Zhaoshuo Liu <liuzhaoshuo1997@outlook.com>
Repository: CRAN
Date/Publication: 2026-07-04 07:10:28 UTC

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New package BJM with initial version 0.1.0
Package: BJM
Title: Backward Joint Model for the Dynamic Prediction of Both Time-to-Event and Longitudinal Outcomes
Version: 0.1.0
Maintainer: Wenhao Li <wenhaoli.jlu@gmail.com>
Description: Provides tools to fit joint models of multivariate longitudinal data and time-to-event data for dynamic prediction. It allows the joint prediction of both future time-to-event outcomes and future longitudinal outcomes conditional on survival. The models accommodate irregularly measured longitudinal data and competing risks outcomes. The use of the backward joint model enables fast and efficient computation, especially for applications with large sample sizes and many longitudinal variables.
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
Depends: R (>= 3.5.0), survival
Imports: nlme, mvtnorm, ggplot2, Matrix
Author: Wenhao Li [aut, cre], Liang Li [aut]
Repository: CRAN
Date/Publication: 2026-07-04 07:50:02 UTC
NeedsCompilation: no
Packaged: 2026-06-28 23:49:55 UTC; wenhaoli

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New package attestix with initial version 0.4.1
Package: attestix
Title: Offline Verifier for Attestix Ed25519 Credentials and UCAN Delegations
Version: 0.4.1
Description: An offline verifier for verifiable credentials and delegation chains issued by the Attestix Python core. Verifies Ed25519 (RFC 8032) signatures over W3C Verifiable Credentials, decodes Ed25519 'did:key' identifiers, and verifies UCAN delegation chains (EdDSA 'JWT's) including capability attenuation, with no Python runtime required. Reproduces the Attestix JCS-style JSON canonical form (a practical subset of RFC 8785 that additionally applies 'NFC' Unicode normalization) byte-for-byte so that signatures produced by the reference implementation verify here. Useful for compliance, research and biostatistics users who work in R and need to check AI-agent compliance credentials. See <https://attestix.io> for the project and <https://attestix.io/spec/bundle/v1> for the bundle wire format.
License: Apache License (>= 2)
URL: https://github.com/VibeTensor/attestix-r, https://attestix.io
BugReports: https://github.com/VibeTensor/attestix-r/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: sodium, openssl, stringi
Suggests: jsonlite, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-26 15:36:15 UTC; runner
Author: Pavan Kumar Dubasi [aut, cre], VibeTensor [cph, fnd]
Maintainer: Pavan Kumar Dubasi <info@vibetensor.com>
Repository: CRAN
Date/Publication: 2026-07-04 07:00:02 UTC

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Package coresynth updated to version 0.2.4 with previous version 0.2.2 dated 2026-06-26

Title: Fast and Unified Synthetic Control Methods
Description: A unified 'Formula' interface to the Synthetic Control Method (SCM) and related panel-data causal inference estimators: Synthetic Difference-in-Differences (SDID), Generalized Synthetic Control (GSC), Matrix Completion (MC), Time-Aware Synthetic Control (TASC), and Synthetic Interventions (SI), together with an experimental-design variant. Computational bottlenecks (quadratic programming, singular value decomposition, and Kalman filtering) are implemented in 'C++' via 'RcppArmadillo'. Methods are described in Abadie, Diamond and Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746>, Arkhangelsky, Athey, Hirshberg, Imbens and Wager (2021) <doi:10.1257/aer.20190159>, Xu (2017) <doi:10.1017/pan.2016.2>, Athey, Bayati, Doudchenko, Imbens and Khosravi (2021) <doi:10.1080/01621459.2021.1891924>, and Agarwal, Shah and Shen (2025) <doi:10.1287/opre.2025.1590>.
Author: Yosuke Abe [aut, cre]
Maintainer: Yosuke Abe <yosuke.abe0507@gmail.com>

Diff between coresynth versions 0.2.2 dated 2026-06-26 and 0.2.4 dated 2026-07-04

 DESCRIPTION                       |    6 
 MD5                               |   34 +--
 NEWS.md                           |   62 ++++++
 R/gsc.R                           |    6 
 R/mc.R                            |    5 
 R/scm.R                           |   11 +
 R/scm_design.R                    |    5 
 R/scm_fit.R                       |   30 ++-
 R/sdid.R                          |    6 
 R/si.R                            |   12 -
 R/tasc.R                          |   17 +
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 inst/WORDLIST                     |    9 
 inst/doc/coresynth.html           |   18 -
 src/optim.cpp                     |   24 +-
 tests/testthat/test-integration.R |  367 ++++++++++++++++++++++++++------------
 18 files changed, 523 insertions(+), 152 deletions(-)

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