Thu, 27 Nov 2025

Package wbids updated to version 1.1.2 with previous version 1.1.1 dated 2025-11-11

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 greenR updated to version 0.0.1.5 with previous version 0.0.1.4 dated 2025-09-08

Title: Green Index Quantification, Analysis and Visualization
Description: Quantification, analysis, and visualization of urban greenness within city networks using data from 'OpenStreetMap' <https://www.openstreetmap.org>.
Author: Sachit Mahajan [aut, cre]
Maintainer: Sachit Mahajan <sachitmahajan90@gmail.com>

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Package ggsurveillance updated to version 0.5.2 with previous version 0.5.1 dated 2025-07-02

Title: Tools for Outbreak Investigation/Infectious Disease Surveillance
Description: Create epicurves, epigantt charts, and diverging bar charts using 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation (time series data). Includes tidy functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2', (D) labelling of the last value of a time-series. An introduction on how to use epicurves can be found on the US CDC website (2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).
Author: Alexander Bartel [aut, cre]
Maintainer: Alexander Bartel <alexander.bartel@fu-berlin.de>

Diff between ggsurveillance versions 0.5.1 dated 2025-07-02 and 0.5.2 dated 2025-11-27

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Package CvmortalityMult updated to version 1.1.1 with previous version 1.1.0 dated 2025-05-09

Title: Cross-Validation for Multi-Population Mortality Models
Description: Implementation of cross-validation method for testing the forecasting accuracy of several multi-population mortality models. The family of multi-population includes several multi-population mortality models proposed through the actuarial and demography literature. The package includes functions for fitting and forecast the mortality rates of several populations. Additionally, we include functions for testing the forecasting accuracy of different multi-population models. References, <https://journal.r-project.org/articles/RJ-2025-018/>. Atance, D., Debon, A., and Navarro, E. (2020) <doi:10.3390/math8091550>. Bergmeir, C. & Benitez, J.M. (2012) <doi:10.1016/j.ins.2011.12.028>. Debon, A., Montes, F., & Martinez-Ruiz, F. (2011) <doi:10.1007/s13385-011-0043-z>. Lee, R.D. & Carter, L.R. (1992) <doi:10.1080/01621459.1992.10475265>. Russolillo, M., Giordano, G., & Haberman, S. (2011) <doi:10.1080/03461231003611933>. Santolino, M. (2023) <d [...truncated...]
Author: David Atance [aut, cre] , Ana Debon [aut]
Maintainer: David Atance <david.atance@uah.es>

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Package gkwreg updated to version 2.1.6 with previous version 2.1.1 dated 2025-11-15

Title: Generalized Kumaraswamy Regression Models for Bounded Data
Description: Implements regression models for bounded continuous data in the open interval (0,1) using the five-parameter Generalized Kumaraswamy distribution. Supports modeling all distribution parameters (alpha, beta, gamma, delta, lambda) as functions of predictors through various link functions. Provides efficient maximum likelihood estimation via Template Model Builder ('TMB'), offering comprehensive diagnostics, model comparison tools, and simulation methods. Particularly useful for analyzing proportions, rates, indices, and other bounded response data with complex distributional features not adequately captured by simpler models.
Author: Jose Evandeilton Lopes [aut, cre]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

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Package GE updated to version 0.5.3 with previous version 0.5.0 dated 2025-06-19

Title: General Equilibrium Modeling
Description: Some tools for developing general equilibrium models and some general equilibrium models. These models can be used for teaching economic theory and are built by the methods of new structural economics (see LI Wu, 2019, ISBN: 9787521804225, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press). The model form and mathematical methods can be traced back to J. von Neumann (1945, A Model of General Economic Equilibrium. The Review of Economic Studies, 13. pp. 1-9), J. G. Kemeny, O. Morgenstern and G. L. Thompson (1956, A Generalization of the von Neumann Model of an Expanding Economy, Econometrica, 24, pp. 115-135) et al. By the way, J. G. Kemeny is a co-inventor of the computer language BASIC.
Author: Wu LI [aut, cre]
Maintainer: Wu LI <liwu.shu@qq.com>

Diff between GE versions 0.5.0 dated 2025-06-19 and 0.5.3 dated 2025-11-27

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Package vistla updated to version 2.1.2 with previous version 2.1.1 dated 2025-02-19

Title: Detecting Influence Paths with Information Theory
Description: Traces information spread through interactions between features, utilising information theory measures and a higher-order generalisation of the concept of widest paths in graphs. In particular, 'vistla' can be used to better understand the results of high-throughput biomedical experiments, by organising the effects of the investigated intervention in a tree-like hierarchy from direct to indirect ones, following the plausible information relay circuits. Due to its higher-order nature, 'vistla' can handle multi-modality and assign multiple roles to a single feature.
Author: Miron B. Kursa [aut, cre]
Maintainer: Miron B. Kursa <m@mbq.me>

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Package topicmodels.etm updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-08

Title: Topic Modelling in Embedding Spaces
Description: Find topics in texts which are semantically embedded using techniques like word2vec or Glove. This topic modelling technique models each word with a categorical distribution whose natural parameter is the inner product between a word embedding and an embedding of its assigned topic. The techniques are explained in detail in the paper 'Topic Modeling in Embedding Spaces' by Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei (2019), available at <doi:10.48550/arXiv.1907.04907>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Adji B. Dieng [ctb, cph] , Francisco J. R. Ruiz [ctb, cph] , David M. Blei [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package plotcli updated to version 0.2.0 with previous version 0.1.0 dated 2024-04-24

Title: Command Line Interface Plotting
Description: The 'plotcli' package provides terminal-based plotting in R. It supports colored scatter plots, line plots, bar plots, boxplots, histograms, density plots, and more. The 'ggplotcli()' function is a universal converter that renders any 'ggplot2' plot in the terminal using Unicode Braille characters or ASCII. Features include support for 15+ geom types, faceting (facet_wrap/facet_grid), automatic theme detection, legends, optimized color mapping, and multiple canvas types.
Author: Claas Heuer [aut, cre]
Maintainer: Claas Heuer <claasheuer@gmail.com>

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Package mlr3fselect updated to version 1.5.0 with previous version 1.4.0 dated 2025-07-31

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 1.4.0 dated 2025-07-31 and 1.5.0 dated 2025-11-27

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Package ClimMobTools updated to version 1.8.2 with previous version 1.8 dated 2025-11-15

Title: API Client for the 'ClimMob' Platform
Description: API client for 'ClimMob', an open source software for decentralized large-N trials with the 'tricot' approach <https://climmob.net/>. Developed by van Etten et al. (2019) <doi:10.1017/S0014479716000739>, it turns the research paradigm on its head; instead of a few researchers designing complicated trials to compare several technologies in search of the best solutions for the target environment, it enables many participants to carry out reasonably simple experiments that taken together can offer even more information. 'ClimMobTools' enables project managers to deep explore and analyse their 'ClimMob' data in R.
Author: Kaue de Sousa [aut, cre] , Jacob van Etten [aut] , Brandon Madriz [aut]
Maintainer: Kaue de Sousa <desousa.kaue@gmail.com>

Diff between ClimMobTools versions 1.8 dated 2025-11-15 and 1.8.2 dated 2025-11-27

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Package MRG updated to version 0.3.21 with previous version 0.3.10 dated 2025-07-11

Title: Create Non-Confidential Multi-Resolution Grids
Description: The need for anonymization of individual survey responses often leads to many suppressed grid cells in a regular grid. Here we provide functionality for creating multi-resolution gridded data, respecting the confidentiality rules, such as a minimum number of units and dominance by one or more units for each grid cell. The functions also include the possibility for contextual suppression of data. For more details see Skoien et al. (2025) <doi:10.48550/arXiv.2410.17601>.
Author: Jon Olav Skoien [aut, cre], Nicolas Lampach [aut]
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>

Diff between MRG versions 0.3.10 dated 2025-07-11 and 0.3.21 dated 2025-11-27

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Package doc2vec updated to version 0.2.2 with previous version 0.2.0 dated 2021-03-27

Title: Distributed Representations of Sentences, Documents and Topics
Description: Learn vector representations of sentences, paragraphs or documents by using the 'Paragraph Vector' algorithms, namely the distributed bag of words ('PV-DBOW') and the distributed memory ('PV-DM') model. The techniques in the package are detailed in the paper "Distributed Representations of Sentences and Documents" by Mikolov et al. (2014), available at <doi:10.48550/arXiv.1405.4053>. The package also provides an implementation to cluster documents based on these embedding using a technique called top2vec. Top2vec finds clusters in text documents by combining techniques to embed documents and words and density-based clustering. It does this by embedding documents in the semantic space as defined by the 'doc2vec' algorithm. Next it maps these document embeddings to a lower-dimensional space using the 'Uniform Manifold Approximation and Projection' (UMAP) clustering algorithm and finds dense areas in that space using a 'Hierarchical Density-Based Clustering' technique (HDBSCAN). The [...truncated...]
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , hiyijian [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between doc2vec versions 0.2.0 dated 2021-03-27 and 0.2.2 dated 2025-11-27

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Package clinicalsignificance updated to version 3.0.0 with previous version 2.1.0 dated 2024-12-02

Title: A Toolbox for Clinical Significance Analyses in Intervention Studies
Description: A clinical significance analysis can be used to determine if an intervention has a meaningful or practical effect for patients. You provide a tidy data set plus a few more metrics and this package will take care of it to make your results publication ready. Accompanying package to Claus et al. <doi:10.18637/jss.v111.i01>.
Author: Benedikt Claus [aut, cre]
Maintainer: Benedikt Claus <benediktclaus@outlook.com>

Diff between clinicalsignificance versions 2.1.0 dated 2024-12-02 and 3.0.0 dated 2025-11-27

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Package BayesRegDTR updated to version 1.1.2 with previous version 1.1.1 dated 2025-10-26

Title: Bayesian Regression for Dynamic Treatment Regimes
Description: Methods to estimate optimal dynamic treatment regimes using Bayesian likelihood-based regression approach as described in Yu, W., & Bondell, H. D. (2023) <doi:10.1093/jrsssb/qkad016> Uses backward induction and dynamic programming theory for computing expected values. Offers options for future parallel computing.
Author: Jeremy Lim [aut], Weichang Yu [aut, cre]
Maintainer: Weichang Yu <weichang.yu@unimelb.edu.au>

Diff between BayesRegDTR versions 1.1.1 dated 2025-10-26 and 1.1.2 dated 2025-11-27

 DESCRIPTION |   16 ++++++++--------
 MD5         |    4 ++--
 NEWS.md     |    4 ++++
 3 files changed, 14 insertions(+), 10 deletions(-)

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Package runMCMCbtadjust (with last version 1.1.2) was removed from CRAN

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2024-08-28 1.1.2
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2023-12-13 1.0.5
2023-11-10 1.0.4
2023-07-20 1.0.3
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2015-05-21 0.3-1
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Package MDEI (with last version 1.0) was removed from CRAN

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Package PPLasso (with last version 2.0) was removed from CRAN

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Package eHOF (with last version 1.16) was removed from CRAN

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2024-12-14 1.16
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Package AnimalHabitatNetwork (with last version 0.1.0) was removed from CRAN

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Package rSpectral (with last version 1.0.0.10) was removed from CRAN

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2020-01-10 0.1.1
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Package lintr updated to version 3.3.0-1 with previous version 3.2.0 dated 2025-02-12

Title: A 'Linter' for R Code
Description: Checks adherence to a given style, syntax errors and possible semantic issues. Supports on the fly checking of R code edited with 'RStudio IDE', 'Emacs', 'Vim', 'Sublime Text', 'Atom' and 'Visual Studio Code'.
Author: Jim Hester [aut], Florent Angly [aut] , Russ Hyde [aut], Michael Chirico [aut, cre] , Kun Ren [aut], Alexander Rosenstock [aut] , Indrajeet Patil [aut] , Hugo Gruson [aut]
Maintainer: Michael Chirico <michaelchirico4@gmail.com>

Diff between lintr versions 3.2.0 dated 2025-02-12 and 3.3.0-1 dated 2025-11-27

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Package traktok (with last version 0.1.0) was removed from CRAN

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

2025-11-24 0.1.0

Permanent link
Package cookiemonster (with last version 0.0.5) was removed from CRAN

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

2025-11-13 0.0.5
2025-11-12 0.0.4
2023-11-30 0.0.3
2023-11-13 0.0.2

Permanent link
Package word2vec updated to version 0.4.1 with previous version 0.4.0 dated 2023-10-07

Title: Distributed Representations of Words
Description: Learn vector representations of words by continuous bag of words and skip-gram implementations of the 'word2vec' algorithm. The techniques are detailed in the paper "Distributed Representations of Words and Phrases and their Compositionality" by Mikolov et al. (2013), available at <doi:10.48550/arXiv.1310.4546>.
Author: Jan Wijffels [aut, cre, cph] , Kohei Watanabe [aut] , BNOSAC [cph] , Max Fomichev [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Permanent link

Package TSP updated to version 1.2.6 with previous version 1.2-5 dated 2025-05-27

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>

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Package tinyplot updated to version 0.6.0 with previous version 0.5.0 dated 2025-09-22

Title: Lightweight Extension of the Base R Graphics System
Description: Lightweight extension of the base R graphics system, with support for automatic legends, facets, themes, and various other enhancements.
Author: Grant McDermott [aut, cre] , Vincent Arel-Bundock [aut] , Achim Zeileis [aut] , Etienne Bacher [ctb]
Maintainer: Grant McDermott <gmcd@amazon.com>

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Package nonmem2rx updated to version 0.1.9 with previous version 0.1.8 dated 2025-08-29

Title: Converts 'NONMEM' Models to 'rxode2'
Description: 'NONMEM' has been a tool for running nonlinear mixed effects models since the 80s and is still used today (Bauer 2019 <doi:10.1002/psp4.12404>). This tool allows you to convert 'NONMEM' models to 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) and with simple models 'nlmixr2' syntax (Fidler et al (2019) <doi:10.1002/psp4.12445>). The 'nlmixr2' syntax requires the residual specification to be included and it is not always translated. If available, the 'rxode2' model will read in the 'NONMEM' data and compare the simulation for the population model ('PRED') individual model ('IPRED') and residual model ('IWRES') to immediately show how well the translation is performing. This saves the model development time for people who are creating an 'rxode2' model manually. Additionally, this package reads in all the information to allow simulation with uncertainty (that is the number of observations, the number of subjects, and the covariance matrix) with a 'rx [...truncated...]
Author: Matthew Fidler [aut, cre] , Philip Delff [ctb], Gabriel Staples [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package JSDNE updated to version 4.6 with previous version 4.5 dated 2025-05-03

Title: Estimating the Age using Auricular Surface by DNE
Description: The age is estimated by calculating the Dirichlet Normal Energy (DNE) on the whole auricular surface and the apex of the auricular surface. It involves three estimation methods: principal component discriminant analysis (PCQDA), and principal component logistic regression analysis (PCLR) methods, principal component regression analysis with Southeast Asian (A_PCR), and principal component regression analysis with multipopulation (M_PCR). The package is created with the data from the Louis Lopes Collection in Lisbon, the 21st Century Identified Human Remains Collection in Coimbra, and the CAL Milano Cemetery Skeletal Collection in Milan, and the skeletal collection at Khon Kaen University (KKU) Human Skeletal Research Centre (HSRC), housed in the Department of Anatomy in the Faculty of Medicine at KKU in Khon Kaen.
Author: Jisun Jang [aut, cre]
Maintainer: Jisun Jang <jisun.jang.19@ucl.ac.uk>

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Package gkwdist updated to version 1.1.1 with previous version 1.0.10 dated 2025-11-13

Title: Generalized Kumaraswamy Distribution Family
Description: Implements the five-parameter Generalized Kumaraswamy ('gkw') distribution proposed by 'Carrasco, Ferrari and Cordeiro (2010)' <doi:10.48550/arXiv.1004.0911> and its seven nested sub-families for modeling bounded continuous data on the unit interval (0,1). The 'gkw' distribution extends the Kumaraswamy distribution described by Jones (2009) <doi:10.1016/j.stamet.2008.04.001>. Provides density, distribution, quantile, and random generation functions, along with analytical log-likelihood, gradient, and Hessian functions implemented in 'C++' via 'RcppArmadillo' for maximum computational efficiency. Suitable for modeling proportions, rates, percentages, and indices exhibiting complex features such as asymmetry, or heavy tails and other shapes not adequately captured by standard distributions like simple Beta or Kumaraswamy.
Author: Jose Evandeilton Lopes [aut, cre]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

Diff between gkwdist versions 1.0.10 dated 2025-11-13 and 1.1.1 dated 2025-11-27

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More information about gkwdist at CRAN
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