Wed, 18 Mar 2026

Package rlog updated to version 0.2.0 with previous version 0.1.0 dated 2021-02-24

Title: A Simple, Opinionated Logging Utility
Description: A very lightweight package that writes out log messages in an opinionated way. Simpler and lighter than other logging packages, 'rlog' provides a compact feature set that focuses on getting the job done in a Unix-like way.
Author: Mark Sellors [aut, cre] , Daniel Simeone [ctb]
Maintainer: Mark Sellors <rstats@5vcc.com>

Diff between rlog versions 0.1.0 dated 2021-02-24 and 0.2.0 dated 2026-03-18

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 16 files changed, 102 insertions(+), 50 deletions(-)

More information about rlog at CRAN
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Package leaflet.providers updated to version 3.0.0 with previous version 2.0.0 dated 2023-10-17

Title: Leaflet Providers
Description: Contains third-party map tile provider information from 'Leaflet.js', <https://github.com/leaflet-extras/leaflet-providers>, to be used with the 'leaflet' R package. Additionally, 'leaflet.providers' enables users to retrieve up-to-date provider information between package updates.
Author: Leslie Huang [aut], Barret Schloerke [ctb, cre] , Leaflet Providers contributors [ctb, cph] , Posit Software, PBC [cph, fnd]
Maintainer: Barret Schloerke <barret@posit.co>

Diff between leaflet.providers versions 2.0.0 dated 2023-10-17 and 3.0.0 dated 2026-03-18

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More information about leaflet.providers at CRAN
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Package rlandfire updated to version 2.0.2 with previous version 2.0.1 dated 2025-07-31

Title: Interface to 'LANDFIRE Product Service' API
Description: Provides access to a suite of geospatial data layers for wildfire management, fuel modeling, ecology, natural resource management, climate, conservation, etc., via the 'LANDFIRE' (<https://www.landfire.gov/>) Product Service ('LFPS') API.
Author: Mark Buckner [aut, cre, cph]
Maintainer: Mark Buckner <mab677@cornell.edu>

Diff between rlandfire versions 2.0.1 dated 2025-07-31 and 2.0.2 dated 2026-03-18

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 rlandfire-2.0.2/rlandfire/NEWS.md                                                                   |    7 
 rlandfire-2.0.2/rlandfire/R/checkStatus.R                                                           |    4 
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 rlandfire-2.0.2/rlandfire/R/utils.R                                                                 |    4 
 rlandfire-2.0.2/rlandfire/R/zzz.R                                                                   |    4 
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More information about rlandfire at CRAN
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Package rGV updated to version 0.0.6 with previous version 0.0.5 dated 2024-12-19

Title: Analysis of Continuous Glucose Monitor Data
Description: Reads in continuous glucose monitor data of many different formats, calculates a host of glycemic variability metrics, and plots glucose over time.
Author: Evan Olawsky [aut, cre], Yuan Zhang [ctb], Lynn Eberly [ctb]
Maintainer: Evan Olawsky <evanolawsky@gmail.com>

Diff between rGV versions 0.0.5 dated 2024-12-19 and 0.0.6 dated 2026-03-18

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More information about rGV at CRAN
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Package orsk updated to version 1.0-9 with previous version 1.0-8 dated 2023-06-24

Title: Converting Odds Ratio to Relative Risk in Cohort Studies with Partial Data Information
Description: Reconstructs plausible 2 by 2 contingency tables from published cohort-study summaries when the original cell counts are unavailable. Given group sample sizes and an odds ratio with partial confidence interval information, the package searches for compatible event counts, then derives corresponding relative risks and confidence intervals. It implements the methods described in Wang (2013) <doi:10.18637/jss.v055.i05> and includes summary and plotting methods for reviewing admissible scenarios.
Author: Zhu Wang [aut, cre]
Maintainer: Zhu Wang <zwang145@uthsc.edu>

Diff between orsk versions 1.0-8 dated 2023-06-24 and 1.0-9 dated 2026-03-18

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More information about orsk at CRAN
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Package geonuts updated to version 1.0.1 with previous version 1.0.0 dated 2026-01-09

Title: Identification and Visualisation of European NUTS Regions from Geolocations
Description: Provides functions to identify European NUTS (Nomenclature of Territorial Units for Statistics) regions for geographic coordinates (latitude/longitude) using Eurostat geospatial boundaries. Includes map-based visualisation of the matched regions for validation and exploration. Designed for regional data analysis, reproducible workflows, and integration with common geospatial R packages.
Author: Attila I. Katona [aut, cre], Marcell T. Kurbucz [aut]
Maintainer: Attila I. Katona <katona.attila@gtk.uni-pannon.hu>

Diff between geonuts versions 1.0.0 dated 2026-01-09 and 1.0.1 dated 2026-03-18

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Package bamdit updated to version 3.6.0 with previous version 3.4.4 dated 2025-02-06

Title: Bayesian Meta-Analysis of Diagnostic Test Data
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>

Diff between bamdit versions 3.4.4 dated 2025-02-06 and 3.6.0 dated 2026-03-18

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Package futurize updated to version 0.2.0 with previous version 0.1.0 dated 2026-01-22

Title: Parallelize Common Functions via One Magic Function
Description: The futurize() function transpiles calls to sequential map-reduce functions such as base::lapply(), purrr::map(), 'foreach::foreach() %do% { ... }' into concurrent alternatives, providing you with a simple, straightforward path to scalable parallel computing via the 'future' ecosystem <doi:10.32614/RJ-2021-048>. By combining this function with R's native pipe operator, you have a convenient way for speeding up iterative computations with minimal refactoring, e.g. 'lapply(xs, fcn) |> futurize()', 'purrr::map(xs, fcn) |> futurize()', and 'foreach::foreach(x = xs) %do% { fcn(x) } |> futurize()'. Other map-reduce packages that can be "futurized" are 'BiocParallel', 'plyr', 'crossmap', 'pbapply' packages. There is also support for a growing set of domain-specific packages (e.g. CRAN package 'boot', 'caret', 'fgsea', 'fwb', 'gamlss', 'glmmTMB', 'glmnet', 'kernelshap', 'lme4', 'metafor', 'mgcv', 'partykit', 'riskRegression', 'seriation', 'shapr', 'SimDesign', 'strucchange', 'tm [...truncated...]
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between futurize versions 0.1.0 dated 2026-01-22 and 0.2.0 dated 2026-03-18

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Package dspline updated to version 1.0.4 with previous version 1.0.3 dated 2025-11-23

Title: Tools for Computations with Discrete Splines
Description: Discrete splines are a class of univariate piecewise polynomial functions which are analogous to splines, but whose smoothness is defined via divided differences rather than derivatives. Tools for efficient computations relating to discrete splines are provided here. These tools include discrete differentiation and integration, various matrix computations with discrete derivative or discrete spline bases matrices, and interpolation within discrete spline spaces. These techniques are described in Tibshirani (2020) <doi:10.48550/arXiv.2003.03886>.
Author: Logan Brooks [ctb], Addison Hu [aut], Daniel McDonald [ctb], Ryan Tibshirani [aut, cre, cph]
Maintainer: Ryan Tibshirani <ryantibs@gmail.com>

Diff between dspline versions 1.0.3 dated 2025-11-23 and 1.0.4 dated 2026-03-18

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Package stats19 updated to version 4.0.0 with previous version 3.4.0 dated 2025-10-09

Title: Work with Open Road Traffic Casualty Data from Great Britain
Description: Work with and download road traffic casualty data from Great Britain. Enables access to the UK's official road safety statistics, 'STATS19'. Enables users to specify a download directory for the data, which can be set permanently by adding `STATS19_DOWNLOAD_DIRECTORY=/path/to/a/dir` to your `.Renviron` file, which can be opened with `usethis::edit_r_environ()`. The data is provided as a series of `.csv` files. This package downloads, reads-in and formats the data, making it suitable for analysis. See the stats19 vignette for details. Data available from 1979 to 2024. See the official data series at <https://www.data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-accidents-safety-data>. The package is described in a paper in the Journal of Open Source Software (Lovelace et al. 2019) <doi:10.21105/joss.01181>. See Gilardi et al. (2022) <doi:10.1111/rssa.12823>, Vidal-Tortosa et al. (2021) <doi:10.1016/j.jth.2021.101291>, Tait et al. (2023) <doi:10.101 [...truncated...]
Author: Robin Lovelace [aut, cre] , Malcolm Morgan [aut] , Layik Hama [aut] , Mark Padgham [aut] , David Ranzolin [rev], Adam Sparks [rev, ctb] , Ivo Wengraf [ctb], RAC Foundation [fnd], Blaise Kelly [aut]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package shinyBS updated to version 0.65.0 with previous version 0.64.0 dated 2026-03-11

Title: Extra Twitter Bootstrap Components for Shiny
Description: Adds easy access to additional Twitter Bootstrap components to Shiny.
Author: Eric Bailey [aut], Federico Marini [cre, ctb] , Jesse Koops [ctb]
Maintainer: Federico Marini <marinif@uni-mainz.de>

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Package PCSinR updated to version 0.2.0 with previous version 0.1.0 dated 2016-10-19

Title: Parallel Constraint Satisfaction Networks in R
Description: Parallel Constraint Satisfaction (PCS) models are an increasingly common class of models in Psychology, with applications to reading and word recognition (McClelland & Rumelhart, 1981; \doi{10.1037/0033-295X.88.5.375}), judgment and decision making (Glöckner & Betsch, 2008 \doi{10.1017/S1930297500002424}; Glöckner, Hilbig, & Jekel, 2014 \doi{10.1016/j.cognition.2014.08.017}), and several other fields. In each of these fields, they provide a quantitative model of psychological phenomena, with precise predictions regarding choice probabilities, decision times, and often the degree of confidence. This package provides the necessary functions to create and simulate basic Parallel Constraint Satisfaction networks within R.
Author: Felix Henninger [aut, cre] , Daniel W. Heck [aut]
Maintainer: Felix Henninger <mailbox@felixhenninger.com>

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Package WARDEN updated to version 2.0.2 with previous version 2.0.1 dated 2025-12-11

Title: Workflows for Health Technology Assessments in R using Discrete EveNts
Description: Toolkit to support and perform discrete event simulations with and without resource constraints in the context of health technology assessments (HTA). The package focuses on cost-effectiveness modelling and aims to be submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15' <https://sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>. More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.
Author: Javier Sanchez Alvarez [aut, cre], Gabriel Lemyre [ctb], Valerie Aponte Ribero [ctb]
Maintainer: Javier Sanchez Alvarez <javiersanchezeco@gmail.com>

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Package ROCFTP.MMS updated to version 1.0.1 with previous version 1.0.0 dated 2022-02-18

Title: Perfect Sampling
Description: The algorithm provided in this package generates perfect sample for unimodal or multimodal posteriors. Read Once Coupling From The Past, with Metropolis-Multishift is used to generate a perfect sample for a given posterior density based on the two extreme starting paths, minimum and maximum of the most interest range of the posterior. It uses the monotone random operation of multishift coupler which allows to sandwich all of the state space in one point. It means both Markov Chains starting from the maximum and minimum will be coalesced. The generated sample is independent from the starting points. It is useful for mixture distributions too. The output of this function is a real value as an exact draw from the posterior distribution.
Author: Majid Nabipoor [aut, cre, cph], Duncan Murdoch [aut]
Maintainer: Majid Nabipoor <nabipoor@ualberta.ca>

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Package cophescan updated to version 1.4.3 with previous version 1.4.2 dated 2025-07-30

Title: Adaptation of the Coloc Method for PheWAS
Description: A Bayesian method for Phenome-wide association studies (PheWAS) that identifies causal associations between genetic variants and traits, while simultaneously addressing confounding due to linkage disequilibrium. For details see Manipur et al (2024, Nature Communications) <doi:10.1038/s41467-024-49990-8>.
Author: Ichcha Manipur [aut, cre], Chris Wallace [aut]
Maintainer: Ichcha Manipur <im504@cam.ac.uk>

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Package besthr updated to version 0.4.0 with previous version 0.3.2 dated 2023-04-14

Title: Generating Bootstrap Estimation Distributions of HR Data
Description: Creates plots showing scored HR experiments and plots of distribution of means of ranks of HR score from bootstrapping.
Author: Dan MacLean [aut, cre]
Maintainer: Dan MacLean <dan.maclean@tsl.ac.uk>

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Package sensortowerR updated to version 0.9.7 with previous version 0.9.4 dated 2025-12-30

Title: Interface to 'Sensor Tower' Mobile App Intelligence API
Description: Interface to the 'Sensor Tower' API <https://app.sensortower.com/api/docs/app_analysis> for mobile app analytics and market intelligence. Provides functions to retrieve app metadata, publisher information, download and revenue estimates, active user metrics, category rankings, and market trends. The package includes data processing utilities to clean and aggregate metrics across platforms, automatic app name resolution, and tools for generating professional analytics dashboards. Supports both iOS and Android app ecosystems with unified data structures for cross-platform analysis.
Author: Phillip Black [aut, cre]
Maintainer: Phillip Black <pblack@gameeconomistconsulting.com>

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Package scov updated to version 2.0.0 with previous version 0.1.2 dated 2025-10-25

Title: Structured Covariances Estimators for Pairwise and Spatial Covariates
Description: Implements estimators for structured covariance matrices in the presence of pairwise and spatial covariates. Metodiev, Perrot-Dockès, Ouadah, Fosdick, Robin, Latouche & Raftery (2025) <doi:10.48550/arXiv.2411.04520>.
Author: Martin Metodiev [aut, cre, cph] , Marie Perrot-Dockes [aut], Stephane Robin [aut]
Maintainer: Martin Metodiev <m.metodiev@tutanota.com>

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Package revealedPrefs updated to version 0.4.2 with previous version 0.4.1 dated 2019-09-04

Title: Revealed Preferences and Microeconomic Rationality
Description: Computation of (direct and indirect) revealed preferences, fast non-parametric tests of rationality axioms (WARP, SARP, GARP), simulation of axiom-consistent data, and detection of axiom-consistent subpopulations. Rationality tests follow Varian (1982) <doi:10.2307/1912771>, axiom-consistent subpopulations follow Crawford and Pendakur (2012) <doi:10.1111/j.1468-0297.2012.02545.x>.
Author: Julien Boelaert [aut, cre]
Maintainer: Julien Boelaert <jubo.stats@gmail.com>

Diff between revealedPrefs versions 0.4.1 dated 2019-09-04 and 0.4.2 dated 2026-03-18

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Package fjoin updated to version 0.1.1 with previous version 0.1.0 dated 2025-12-11

Title: Data Frame Joins Leveraging 'data.table'
Description: Extends 'data.table' join functionality, lets it work with any data frame class, and provides a familiar 'x'/'y'-style interface, enabling broad use across R. Offers NA-safe matching by default, on-the-fly column selection, multiple match-handling on both sides, 'x' or 'y' row order, and a row origin indicator. Performs inner, left, right, full, semi- and anti-joins with equality and inequality conditions, plus cross joins. Specific support for 'data.table', (grouped) tibble, and 'sf'/'sfc' objects and their attributes; returns a plain data frame otherwise. Avoids data-copying of inputs and outputs. Allows displaying the 'data.table' code instead of (or as well as) executing it.
Author: Toby Robertson [aut, cre]
Maintainer: Toby Robertson <trobx@proton.me>

Diff between fjoin versions 0.1.0 dated 2025-12-11 and 0.1.1 dated 2026-03-18

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 vignettes/fjoin.qmd                           |   41 ++++++++++-------------
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New package tabpfn with initial version 0.1.0
Package: tabpfn
Title: Prior-Data Fitted Network Foundational Model for Tabular Data
Version: 0.1.0
Description: Provides a consistent API for classification and regression models based on the 'TabPFN' model of Hollmann et al. (2025), "Accurate predictions on small data with a tabular foundation model," Nature, 637(8045) <doi:10.1038/s41586-024-08328-6>. The calculations are served via 'Python' to train and predict the model.
License: Apache License (>= 2)
URL: https://tabpfn.tidymodels.org, https://github.com/tidymodels/tabpfn
BugReports: https://github.com/tidymodels/tabpfn/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, generics, hardhat, purrr, reticulate (>= 1.41.0.1), rlang (>= 1.1.0), tibble
Suggests: covr, modeldata, recipes, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-13 13:02:41 UTC; max
Author: Max Kuhn [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Repository: CRAN
Date/Publication: 2026-03-18 10:30:02 UTC

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New package synopR with initial version 0.2.2
Package: synopR
Title: Tidy Decoding of SYNOP (Surface Synoptic Observations) Meteorological Messages
Version: 0.2.2
Description: Decode raw SYNOP (surface synoptic observations) messages into tidy data frames. Supports batch processing of messages from the same station, extracting data from Sections 0, 1, and 3, including temperature, dew point, pressure, wind, clouds, and precipitation. The decoding logic follows the specifications defined in the World Meteorological Organization (2019) "Manual on Codes, Volume I.1 (WMO-No. 306)" <https://library.wmo.int/idurl/4/35713>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, stringr, tidyr, purrr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://ezequiel1593.github.io/synopR/
BugReports: https://github.com/ezequiel1593/synopR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-13 13:14:27 UTC; eleze
Author: Ezequiel Elias [aut, cre]
Maintainer: Ezequiel Elias <elezeru15@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-03-18 10:30:07 UTC

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New package SCIproj with initial version 1.0.0
Package: SCIproj
Title: Creates a Scientific Project Skeleton as an R Package
Version: 1.0.0
Description: Provides a template for new research projects structured as an R package-based research compendium. Everything - data, R scripts, custom functions and manuscript or reports - is contained within the same package to facilitate collaboration and promote reproducible research, following the FAIR principles.
Language: en-US
License: MIT + file LICENSE
Depends: R(>= 4.1.0)
Imports: usethis (>= 2.0.0), rstudioapi
Suggests: knitr, renv, rmarkdown, targets, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/saskiaotto/SCIproj
BugReports: https://github.com/saskiaotto/SCIproj/issues
NeedsCompilation: no
Packaged: 2026-03-13 14:49:55 UTC; saskiaotto
Author: Saskia Otto [aut, cre, cph]
Maintainer: Saskia Otto <saskia.a.otto@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-18 10:50:10 UTC

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Package ggmlR updated to version 0.6.3 with previous version 0.6.1 dated 2026-02-22

Title: 'GGML' Tensor Operations for Machine Learning
Description: Provides 'R' bindings to the 'GGML' tensor library for machine learning, designed primarily for 'Vulkan' GPU acceleration with full CPU fallback. 'Vulkan' support is auto-detected at build time on Linux (when 'libvulkan-dev' and 'glslc' are installed) and on Windows (when 'Vulkan' 'SDK' is installed and 'VULKAN_SDK' environment variable is set); all operations fall back to CPU transparently when no GPU is available. Implements tensor operations, neural network layers, quantization, and a 'Keras'-like sequential model API for building and training networks. Includes 'AdamW' (Adam with Weight decay) and 'SGD' (Stochastic Gradient Descent) optimizers with 'MSE' (Mean Squared Error) and cross-entropy losses. Also provides a dynamic 'autograd' engine ('PyTorch'-style) with data-parallel training via 'dp_train()', broadcast arithmetic, 'f16' (half-precision) support on 'Vulkan' GPU, and a multi-head attention layer for building Transformer architectures. Supports 'ONNX' model import via buil [...truncated...]
Author: Yuri Baramykov [aut, cre], Georgi Gerganov [ctb, cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , Mozilla Foundation [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

Diff between ggmlR versions 0.6.1 dated 2026-02-22 and 0.6.3 dated 2026-03-18

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 NAMESPACE                                             |   18 +
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 54 files changed, 798 insertions(+), 43 deletions(-)

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New package episomer with initial version 3.0.32
Package: episomer
Title: Early Detection of Public Health Threats from Social Media Data
Version: 3.0.32
Description: It allows you to automatically monitor trends of social media messages by time, place and topic aiming at detecting public health threats early through the detection of signals (i.e., an unusual increase in the number of messages per time, topic and location). It was designed to focus on infectious diseases, and it can be extended to all hazards or other fields of study by modifying the topics and keywords. More information on the original package 'epitweetr' is available in the peer-review publication Espinosa et al. (2022) <doi:10.2807/1560-7917.ES.2022.27.39.2200177>.
License: EUPL
URL: https://github.com/EU-ECDC/episomer
BugReports: https://github.com/EU-ECDC/episomer/issues
Encoding: UTF-8
Imports: dplyr, curl, DT, emayili, future, httr, htmltools, jsonlite, keyring, ggplot2, janitor, magrittr, parallel, plotly, processx, readxl, rlang, rmarkdown, rnaturalearthdata, openxlsx, shiny, stringr, stats, tibble, tools, utils, xtable, httr2, lubridate, sf, cli
Suggests: knitr, taskscheduleR, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-13 08:03:33 UTC; fod
Author: Laura Espinosa [aut, fnd, cre] , Francisco Orchard [aut, ctr] , Gianfranco Spiteri [ctb, fnd], Ariana Wijermans [ctb] , Thomas Mollet [ctb] , Adrian Prodan [ctb], Martin Norling [ctb], Enrique Delgado [ctb], Thomas Czernichow [ctb], Maria Prieto Gonz [...truncated...]
Maintainer: Laura Espinosa <laura.espinosa@ecdc.europa.eu>
Repository: CRAN
Date/Publication: 2026-03-18 10:50:02 UTC

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New package datadiff with initial version 0.4.4
Package: datadiff
Title: Data Validation Based on YAML Rules
Version: 0.4.4
Description: A comprehensive data validation package that allows comparing datasets using configurable validation rules defined in 'YAML' files. Built on top of the 'pointblank' package for robust data validation, it supports exact matching, tolerance-based numeric comparisons, text normalization, and row count validation.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.0.0), pointblank (>= 0.12.3), rlang (>= 0.4.0), stats, tidyselect (>= 1.0.0), utils, yaml (>= 2.2.0)
Suggests: arrow, DBI, dbplyr, duckdb, knitr, rmarkdown, RSQLite, stringr, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
URL: https://github.com/ThinkR-open/datadiff
BugReports: https://github.com/ThinkR-open/datadiff/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-13 15:06:32 UTC; PC
Author: Vincent Guyader [cre, aut] , ThinkR [cph], Agence technique de l'information sur l'hospitalisation [spn]
Maintainer: Vincent Guyader <vincent@thinkr.fr>
Repository: CRAN
Date/Publication: 2026-03-18 11:00:02 UTC

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New package bdlnm with initial version 0.1.0
Package: bdlnm
Title: Bayesian Distributed Lag Non-Linear Models (B-DLNM)
Version: 0.1.0
Description: A Bayesian framework for estimating distributed lag linear and non-linear models. Model fitting is implemented using Integrated Nested Laplace Approximation (R package 'INLA'), together with prediction and visualization of exposure-lag-response associations. Additional functions allow estimation of optimal exposure values (e.g., minimum mortality temperature) and computation of attributable fractions and numbers. Models with 'crossbasis' or 'onebasis' terms are supported (R package 'dlnm').
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/pasahe/bdlnm
BugReports: https://github.com/pasahe/bdlnm/issues
Depends: R (>= 4.4)
LazyData: true
VignetteBuilder: knitr
Imports: dlnm, cli, tsModel, crs, graphics, grDevices, stats, utils
Suggests: INLA (>= 23.4.24), knitr, rmarkdown, testthat (>= 3.0.0), sn, splines, tidyr, lubridate, ggplot2
Additional_repositories: https://inla.r-inla-download.org/R/stable
NeedsCompilation: no
Packaged: 2026-03-13 12:11:22 UTC; psatorra
Author: Pau Satorra [aut, cre] , Marcos Quijal-Zamorano [aut], Joan Ballester [aut], Cristian Tebe [ctb], Miguel A. Martinez-Beneito [aut, ths], Marc Mari-Dell'Olmo [aut, ths]
Maintainer: Pau Satorra <psatorra@igtp.cat>
Repository: CRAN
Date/Publication: 2026-03-18 10:20:02 UTC

More information about bdlnm at CRAN
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Package spatstat.univar updated to version 3.1-7 with previous version 3.1-6 dated 2026-01-17

Title: One-Dimensional Probability Distribution Support for the 'spatstat' Family
Description: Estimation of one-dimensional probability distributions including kernel density estimation, weighted empirical cumulative distribution functions, Kaplan-Meier and reduced-sample estimators for right-censored data, heat kernels, kernel properties, quantiles and integration.
Author: Adrian Baddeley [aut, cre, cph] , Tilman M. Davies [aut, ctb, cph] , Martin L. Hazelton [aut, ctb, cph] , Ege Rubak [aut, cph] , Rolf Turner [aut, cph] , Greg McSwiggan [ctb, cph]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.univar versions 3.1-6 dated 2026-01-17 and 3.1-7 dated 2026-03-18

 DESCRIPTION                |   10 +-
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 14 files changed, 206 insertions(+), 139 deletions(-)

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Package rush updated to version 1.0.0 with previous version 0.4.1 dated 2025-11-06

Title: Rapid Asynchronous and Distributed Computing
Description: Package to tackle large-scale problems asynchronously across a distributed network. Employing a database centric model, rush enables workers to communicate tasks and their results over a shared 'Redis' database. Key features include low task overhead, efficient caching, and robust error handling. The package powers the asynchronous optimization algorithms in the 'bbotk' and 'mlr3tuning' packages.
Author: Marc Becker [cre, aut, cph]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between rush versions 0.4.1 dated 2025-11-06 and 1.0.0 dated 2026-03-18

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 34 files changed, 2608 insertions(+), 3434 deletions(-)

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Package mlr3mbo updated to version 1.1.0 with previous version 1.0.0 dated 2026-02-27

Title: Flexible Bayesian Optimization
Description: A modern and flexible approach to Bayesian Optimization / Model Based Optimization building on the 'bbotk' package. 'mlr3mbo' is a toolbox providing both ready-to-use optimization algorithms as well as their fundamental building blocks allowing for straightforward implementation of custom algorithms. Single- and multi-objective optimization is supported as well as mixed continuous, categorical and conditional search spaces. Moreover, using 'mlr3mbo' for hyperparameter optimization of machine learning models within the 'mlr3' ecosystem is straightforward via 'mlr3tuning'. Examples of ready-to-use optimization algorithms include Efficient Global Optimization by Jones et al. (1998) <doi:10.1023/A:1008306431147>, ParEGO by Knowles (2006) <doi:10.1109/TEVC.2005.851274> and SMS-EGO by Ponweiser et al. (2008) <doi:10.1007/978-3-540-87700-4_78>.
Author: Marc Becker [cre, aut] , Lennart Schneider [aut] , Jakob Richter [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Florian Pfisterer [aut] , Martin Binder [aut], Sebastian Fischer [aut] , Michael H. Buselli [cph], Wessel Dankers [cph], Carlos Fonseca [...truncated...]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3mbo versions 1.0.0 dated 2026-02-27 and 1.1.0 dated 2026-03-18

 DESCRIPTION                                      |   10 
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Package revengc (with last version 1.0.4) was removed from CRAN

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

2019-01-08 1.0.4
2018-09-24 1.0.3
2018-07-18 1.0.2
2018-07-17 1.0.1
2017-08-18 1.0.0

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Package rollmatch (with last version 2.0.4) was removed from CRAN

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

2025-04-15 2.0.4
2024-02-11 2.0.3
2020-06-02 2.0.2
2019-02-19 2.0.1
2018-05-30 1.0.1
2017-10-11 1.0.0

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Package slp (with last version 1.0-5) was removed from CRAN

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

2016-08-28 1.0-5
2014-07-19 1.0-3

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Package sfo (with last version 0.1.2) was removed from CRAN

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

2023-03-16 0.1.2
2021-03-06 0.1.1
2020-12-03 0.1.0

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

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

2016-08-22 0.1.1
2016-08-16 0.1.0

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Package rprev (with last version 1.0.6) was removed from CRAN

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

2025-06-27 1.0.6
2021-05-04 1.0.5
2020-03-20 1.0.4
2019-12-12 1.0.3
2019-03-12 1.0.2
2019-01-21 1.0.1
2018-06-07 1.0.0
2017-09-22 0.2.4
2017-02-13 0.2.3
2016-09-02 0.2.2
2016-07-13 0.2.0
2016-06-06 0.1.0

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Package readoecd updated to version 0.3.3 with previous version 0.3.0 dated 2026-03-12

Title: Download and Tidy Data from the 'OECD'
Description: Provides clean, tidy access to key economic indicators published by the 'Organisation for Economic Co-operation and Development' ('OECD'), covering GDP, CPI inflation, unemployment, tax revenue, government deficit, health expenditure, education expenditure, income inequality, labour productivity, and current account balance across all 38 'OECD' member countries. Data is downloaded from the 'OECD Data Explorer' API <https://data-explorer.oecd.org> on first use and cached locally for subsequent calls. Returns tidy long-format data frames ready for analysis and visualisation.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between readoecd versions 0.3.0 dated 2026-03-12 and 0.3.3 dated 2026-03-18

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Package ons updated to version 0.1.3 with previous version 0.1.0 dated 2026-03-12

Title: Download Data from the 'Office for National Statistics'
Description: Provides functions to download and tidy statistical data published by the 'Office for National Statistics' <https://www.ons.gov.uk>. Covers GDP, inflation (CPI, CPIH, RPI), unemployment, employment, wages, trade, retail sales, house prices, productivity, population, and public sector finances. Most series are fetched from the 'ONS' website using its CSV time series endpoint. House price data is sourced from 'HM Land Registry' <https://www.gov.uk/government/organisations/land-registry>. Data is cached locally between sessions.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package mlr3fselect updated to version 1.5.1 with previous version 1.5.0 dated 2025-11-27

Title: Feature Selection for 'mlr3'
Description: Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3' learner. The package works with several optimization algorithms e.g. Random Search, Recursive Feature Elimination, and Genetic Search. Moreover, it can automatically optimize learners and estimate the performance of optimized feature sets with nested resampling.
Author: Marc Becker [aut, cre] , Patrick Schratz [aut] , Michel Lang [aut] , Bernd Bischl [aut] , John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3fselect versions 1.5.0 dated 2025-11-27 and 1.5.1 dated 2026-03-18

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New package mnpPlasmonR with initial version 0.1.0
Package: mnpPlasmonR
Title: Optical Response of Metallic Nanoparticles (Drude + Rayleigh)
Version: 0.1.0
Description: Computes dielectric response and optical cross-sections of metallic nanoparticles using Drude dielectric model and Rayleigh approximation.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-12 23:30:29 UTC; runner
Author: Galih Ridho Utomo [aut, cre]
Maintainer: Galih Ridho Utomo <g4lihru@students.unnes.ac.id>
Repository: CRAN
Date/Publication: 2026-03-18 08:40:02 UTC

More information about mnpPlasmonR at CRAN
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Package iglm updated to version 1.2.1 with previous version 1.2 dated 2026-03-15

Title: Regression under Interference in Connected Populations
Description: An implementation of generalized linear models (GLMs) for studying relationships among attributes in connected populations, where responses of connected units can be dependent, as introduced by Fritz et al. (2025) <doi:10.1080/01621459.2025.2565851>. 'igml' extends GLMs for independent responses to dependent responses and can be used for studying spillover in connected populations and other network-mediated phenomena.
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>

Diff between iglm versions 1.2 dated 2026-03-15 and 1.2.1 dated 2026-03-18

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Package ibawds updated to version 1.2.1 with previous version 1.2.0 dated 2025-08-18

Title: Functions and Datasets for the Data Science Course at IBAW
Description: A collection of useful functions and datasets for the Data Science Course at IBAW.
Author: Stefan Lanz [aut, cre]
Maintainer: Stefan Lanz <slanz1137@gmail.com>

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Package ggbreak updated to version 0.1.7 with previous version 0.1.6 dated 2025-08-24

Title: Set Axis Break for 'ggplot2'
Description: An implementation of scale functions for setting axis breaks of a 'gg' plot (S Xu (2021) <doi:10.3389/fgene.2021.774846>).
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [aut]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between ggbreak versions 0.1.6 dated 2025-08-24 and 0.1.7 dated 2026-03-18

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Package earthUI updated to version 0.1.3 with previous version 0.1.1 dated 2026-03-11

Title: Interactive 'shiny' GUI for the 'earth' Package
Description: Provides a 'shiny'-based graphical user interface for the 'earth' package, enabling interactive building and exploration of Multivariate Adaptive Regression Splines (MARS) models. Features include data import from CSV and 'Excel' files, automatic detection of categorical variables, interactive control of interaction terms via an allowed matrix, comprehensive model diagnostics with variable importance and partial dependence plots, and publication-quality report generation via 'Quarto'.
Author: William Craytor [aut, cre]
Maintainer: William Craytor <bcraytor@proton.me>

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Package diemr updated to version 1.5.5 with previous version 1.5.4 dated 2026-03-09

Title: Genome Polarization via Diagnostic Index Expectation Maximization
Description: Implements a likelihood-based method for genome polarization, identifying which alleles of SNV markers belong to either side of a barrier to gene flow. The approach co-estimates individual assignment, barrier strength, and divergence between sides, with direct application to studies of hybridization. Includes VCF-to-diem conversion and input checks, support for mixed ploidy and parallelization, and tools for visualization and diagnostic outputs. Based on diagnostic index expectation maximization as described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

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Package tirt updated to version 0.3.0 with previous version 0.2.0 dated 2026-02-14

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 fixest updated to version 0.14.0 with previous version 0.13.2 dated 2025-09-08

Title: Fast Fixed-Effects Estimations
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), instrumental variables (IV), generalized linear models (GLM), maximum likelihood estimation (ML), and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Bergé, Butts, McDermott (2026) <doi:10.48550/arXiv.2601.21749>. Further provides tools to export and view the results of several estimations with intuitive design to change the standard-errors.
Author: Laurent Berge [aut, cre], Sebastian Krantz [ctb], Grant McDermott [ctb] , Russell Lenth [ctb], Kyle Butts [ctb]
Maintainer: Laurent Berge <laurent.berge@u-bordeaux.fr>

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Package xgboost updated to version 3.2.1.1 with previous version 3.2.0.1 dated 2026-02-10

Title: Extreme Gradient Boosting
Description: Extreme Gradient Boosting, which is an efficient implementation of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>. This package is its R interface. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation on a single machine which could be more than 10 times faster than existing gradient boosting packages. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.
Author: Tianqi Chen [aut], Tong He [aut], Michael Benesty [aut], Vadim Khotilovich [aut], Yuan Tang [aut] , Hyunsu Cho [aut], Kailong Chen [aut], Rory Mitchell [aut], Ignacio Cano [aut], Tianyi Zhou [aut], Mu Li [aut], Junyuan Xie [aut], Min Lin [aut], Yifen [...truncated...]
Maintainer: Jiaming Yuan <jm.yuan@outlook.com>

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Package vcdExtra updated to version 0.9.3 with previous version 0.9.1 dated 2026-02-09

Title: 'vcd' Extensions and Additions
Description: Provides additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data and the 'gnm' package for Generalized Nonlinear Models. In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and adds a 3D version in 'mosaic3d'. Additionally, methods are provided for comparing and visualizing lists of 'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer.
Author: Michael Friendly [aut, cre] , David Meyer [ctb], Achim Zeileis [ctb] , Duncan Murdoch [ctb], Heather Turner [ctb] , David Firth [ctb], Daniel Sabanes Bove [ctb], Matt Kumar [ctb], Shuguang Sun [ctb], Gavin Klorfine [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package tidyCpp updated to version 0.0.11 with previous version 0.0.10 dated 2026-03-15

Title: Tidy C++ Header-Only Definitions for Parts of the C API of R
Description: Core parts of the C API of R are wrapped in a C++ namespace via a set of inline functions giving a tidier representation of the underlying data structures and functionality using a header-only implementation without additional dependencies.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package nominatimlite updated to version 0.5.0 with previous version 0.4.3 dated 2026-01-11

Title: Interface with 'Nominatim' API Service
Description: Lite interface for getting data from 'OSM' service 'Nominatim' <https://nominatim.org/release-docs/latest/>. Extract coordinates from addresses, find places near a set of coordinates and return spatial objects on 'sf' format.
Author: Diego Hernangomez [aut, cre, cph] , Jindra Lacko [ctb, rev] , Alex White [ctb], OpenStreetMap [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package metrica updated to version 2.1.1 with previous version 2.1.0 dated 2024-06-30

Title: Prediction Performance Metrics
Description: A compilation of more than 80 functions designed to quantitatively and visually evaluate prediction performance of regression (continuous variables) and classification (categorical variables) of point-forecast models (e.g. APSIM, DSSAT, DNDC, supervised Machine Learning). For regression, it includes functions to generate plots (scatter, tiles, density, & Bland-Altman plot), and to estimate error metrics (e.g. MBE, MAE, RMSE), error decomposition (e.g. lack of accuracy-precision), model efficiency (e.g. NSE, E1, KGE), indices of agreement (e.g. d, RAC), goodness of fit (e.g. r, R2), adjusted correlation coefficients (e.g. CCC, dcorr), symmetric regression coefficients (intercept, slope), and mean absolute scaled error (MASE) for time series predictions. For classification (binomial and multinomial), it offers functions to generate and plot confusion matrices, and to estimate performance metrics such as accuracy, precision, recall, specificity, F-score, Cohen's Kappa, G-mean, and man [...truncated...]
Author: Adrian A. Correndo [aut, cre, cph] , Luiz H. Moro Rosso [aut] , Rai Schwalbert [aut] , Carlos Hernandez [aut] , Leonardo M. Bastos [aut] , Luciana Nieto [aut] , Dean Holzworth [aut], Ignacio A. Ciampitti [aut]
Maintainer: Adrian A. Correndo <acorrend@uoguelph.ca>

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Package httpuv updated to version 1.6.17 with previous version 1.6.16 dated 2025-04-16

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng [aut], Winston Chang [aut, cre], Posit, PBC [cph, fnd] , Hector Corrada Bravo [ctb], Jeroen Ooms [ctb], Andrzej Krzemienski [cph] , libuv project contributors [cph] , Joyent, Inc. and other Node contributors [cph] , Niels Provos [cph] , Int [...truncated...]
Maintainer: Winston Chang <winston@posit.co>

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Package forecast updated to version 9.0.2 with previous version 9.0.1 dated 2026-02-14

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph] , George Athanasopoulos [aut] , Christoph Bergmeir [aut] , Gabriel Caceres [aut] , Leanne Chhay [aut], Kirill Kuroptev [aut], Maximilian Muecke [aut] , Mitchell O'Hara-Wild [aut] , Fotios Petropoulos [aut] , Slava Razbash [ [...truncated...]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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More information about forecast at CRAN
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Package Certara.RsNLME updated to version 3.1.1 with previous version 3.1.0.1 dated 2025-09-03

Title: Pharmacometric Modeling
Description: Facilitate Pharmacokinetic (PK) and Pharmacodynamic (PD) modeling and simulation with powerful tools for Nonlinear Mixed-Effects (NLME) modeling. The package provides access to the same advanced Maximum Likelihood algorithms used by the NLME-Engine in the Phoenix platform. These tools support a range of analyses, from parametric methods to individual and pooled data, and support integrated use within the Pirana pharmacometric workbench <doi:10.1002/psp4.70067>. Execution is supported both locally or on remote machines.
Author: James Craig [aut, cre], Michael Tomashevskiy [aut], Vitalii Nazarov [aut], Shuhua Hu [ctb], Soltanshahi Fred [aut], Certara USA, Inc. [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>

Diff between Certara.RsNLME versions 3.1.0.1 dated 2025-09-03 and 3.1.1 dated 2026-03-18

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More information about Certara.RsNLME at CRAN
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Package algebraic.dist updated to version 1.0.0 with previous version 0.9.1 dated 2026-02-27

Title: Algebra over Probability Distributions
Description: Provides an algebra over probability distributions enabling composition, sampling, and automatic simplification to closed forms. Supports normal, exponential, gamma, Weibull, chi-squared, uniform, beta, log-normal, Poisson, multivariate normal, empirical, and mixture distributions with algebraic operators (addition, subtraction, multiplication, division, power, exp, log, min, max) that automatically simplify when mathematical identities apply. Includes closed-form MVN conditioning (Schur complement), affine transformations, mixture marginals/conditionals (Bayes rule), and limiting distribution builders (CLT, LLN, delta method). Uses S3 classes for distributions and R6 for support objects.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

Diff between algebraic.dist versions 0.9.1 dated 2026-02-27 and 1.0.0 dated 2026-03-18

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Package revss updated to version 3.0.0 with previous version 2.0.0 dated 2024-06-20

Title: Robust Estimation in Very Small Samples
Description: Implements and enhances the estimation techniques described in Rousseeuw & Verboven (2002) <doi:10.1016/S0167-9473(02)00078-6> for the location and scale of very small samples.
Author: Avraham Adler [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

Diff between revss versions 2.0.0 dated 2024-06-20 and 3.0.0 dated 2026-03-18

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