Thu, 27 Nov 2025

Package ukbnmr updated to version 3.3.0 with previous version 3.2.0 dated 2024-11-14

Title: Removal of Unwanted Technical Variation from UK Biobank NMR Metabolomics Biomarker Data
Description: A suite of utilities for working with the UK Biobank <https://www.ukbiobank.ac.uk/> Nuclear Magnetic Resonance spectroscopy (NMR) metabolomics data <https://biobank.ndph.ox.ac.uk/showcase/label.cgi?id=220>. Includes functions for extracting biomarkers from decoded UK Biobank field data, removing unwanted technical variation from biomarker concentrations, computing an extended set of lipid, fatty acid, and cholesterol fractions, and for re-deriving composite biomarkers and ratios after adjusting data for unwanted biological variation. For further details on methods see Ritchie SC et al. Sci Data (2023) <doi:10.1038/s41597-023-01949-y>.
Author: Scott C Ritchie [aut, cre]
Maintainer: Scott C Ritchie <sritchie73@gmail.com>

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Package touch updated to version 0.1-7 with previous version 0.1-6 dated 2022-07-08

Title: Tools of Utilization and Cost in Healthcare
Description: R implementation of the software tools developed in the H-CUP (Healthcare Cost and Utilization Project) <https://hcup-us.ahrq.gov> and AHRQ (Agency for Healthcare Research and Quality) <https://www.ahrq.gov>. It currently contains functions for mapping ICD-9 codes to the AHRQ comorbidity measures and translating ICD-9 (resp. ICD-10) codes to ICD-10 (resp. ICD-9) codes based on GEM (General Equivalence Mappings) from CMS (Centers for Medicare and Medicaid Services).
Author: Wenjie Wang [aut, cre] , Yan Li [aut], Jun Yan [aut]
Maintainer: Wenjie Wang <wang@wwenjie.org>

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Package lifecontingencies updated to version 1.4.4 with previous version 1.4.3 dated 2025-09-18

Title: Financial and Actuarial Mathematics for Life Contingencies
Description: Classes and methods that allow the user to manage life table, actuarial tables (also multiple decrements tables). Moreover, functions to easily perform demographic, financial and actuarial mathematics on life contingencies insurances calculations are contained therein. See Spedicato (2013) <doi:10.18637/jss.v055.i10>.
Author: Giorgio Alfredo Spedicato [aut, cre] , Christophe Dutang [ctb] , Reinhold Kainhofer [ctb] , Kevin J Owens [ctb], Ernesto Schirmacher [ctb], Gian Paolo Clemente [ctb] , Ivan Williams [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

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Package Spower updated to version 0.5.1 with previous version 0.5.0 dated 2025-10-16

Title: Power Analyses using Monte Carlo Simulations
Description: Provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation experiment variants of (expected) prospective power analyses, criterion analyses, compromise analyses, sensitivity analyses, and a priori/post-hoc analyses. The default simulation experiment functions defined within the package provide stochastic variants of the power analysis subroutines in G*Power 3.1 (Faul, Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>, along with various other parametric and non-parametric power analysis applications (e.g., mediation analyses) and support for Bayesian power analysis by way of Bayes factors or posterior probability evaluations. Additional functions for building empirical power curves, reanalyzing simulation information, and for increasing the precision of the resulting power estimates are also included, each of which utilize similar API structures. [...truncated...]
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package sentencepiece updated to version 0.2.4 with previous version 0.2.3 dated 2022-11-13

Title: Text Tokenization using Byte Pair Encoding and Unigram Modelling
Description: Unsupervised text tokenizer allowing to perform byte pair encoding and unigram modelling. Wraps the 'sentencepiece' library <https://github.com/google/sentencepiece> which provides a language independent tokenizer to split text in words and smaller subword units. The techniques are explained in the paper "SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing" by Taku Kudo and John Richardson (2018) <doi:10.18653/v1/D18-2012>. Provides as well straightforward access to pretrained byte pair encoding models and subword embeddings trained on Wikipedia using 'word2vec', as described in "BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages" by Benjamin Heinzerling and Michael Strube (2018) <http://www.lrec-conf.org/proceedings/lrec2018/pdf/1049.pdf>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Google Inc. [ctb, cph] , The Abseil Authors [ctb, cph] , Google Inc. [ctb, cph] ), Kenton Varda [ctb, cph] ), Sanjay Ghemawat [ctb, cph] ), Jeff Dean [ctb, cph] ), Laszlo Csomor [ctb, cph] ), Wink Sav [...truncated...]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package image.LineSegmentDetector updated to version 0.1.1 with previous version 0.1.0 dated 2020-07-27

Title: Detect Line Segments in Images
Description: An implementation of the Line Segment Detector on digital images described in the paper: "LSD: A Fast Line Segment Detector with a False Detection Control" by Rafael Grompone von Gioi et al (2012). The algorithm is explained at <doi:10.5201/ipol.2012.gjmr-lsd>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Rafael Grompone von Gioi [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package image.ContourDetector updated to version 0.1.2 with previous version 0.1.1 dated 2021-11-17

Title: Implementation of the Unsupervised Smooth Contour Line Detection for Images
Description: An implementation of the Unsupervised Smooth Contour Detection algorithm for digital images as described in the paper: "Unsupervised Smooth Contour Detection" by Rafael Grompone von Gioi, and Gregory Randall (2016). The algorithm is explained at <doi:10.5201/ipol.2016.175>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Rafael Grompone von Gioi [ctb, cph] , Gregory Randall [ctb, cph] , Niccolo Marchi [ctb]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package wav updated to version 0.1.1 with previous version 0.1.0 dated 2022-11-28

Title: Read and Write WAV Files
Description: Efficiently read and write Waveform (WAV) audio files <https://en.wikipedia.org/wiki/WAV>. Support for unsigned 8 bit Pulse-code modulation (PCM), signed 12, 16, 24 and 32 bit PCM and other encodings.
Author: Daniel Falbel [aut, cre, cph], Posit, PBC [cph], David Reid [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package sglg updated to version 0.2.3 with previous version 0.2.2 dated 2022-09-03

Title: Fitting Semi-Parametric Generalized log-Gamma Regression Models
Description: Set of tools to fit a linear multiple or semi-parametric regression models with the possibility of non-informative random right or left censoring. Under this setup, the localization parameter of the response variable distribution is modeled by using linear multiple regression or semi-parametric functions, whose non-parametric components may be approximated by natural cubic spline or P-splines. The supported distribution for the model error is a generalized log-gamma distribution which includes the generalized extreme value and standard normal distributions as important special cases. Inference is based on likelihood, penalized likelihood and bootstrap methods. Lastly, some numerical and graphical devices for diagnostic of the fitted models are offered.
Author: Carlos Alberto Cardozo Delgado [aut, cre, cph] , Gilberto Paula [aut], Luis Vanegas [aut]
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>

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Package parquetize readmission to version 0.5.8 with previous version 0.5.7 dated 2024-03-04

Title: Convert Files to Parquet Format
Description: Collection of functions to get files in parquet format. Parquet is a columnar storage file format <https://parquet.apache.org/>. The files to convert can be of several formats ("csv", "RData", "rds", "RSQLite", "json", "ndjson", "SAS", "SPSS"...).
Author: Damien Dotta [aut, cre], Nicolas Chuche [aut]
Maintainer: Damien Dotta <damien.dotta@live.fr>

This is a re-admission after prior archival of version 0.5.7 dated 2024-03-04

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New package marsrad with initial version 1.0.0
Package: marsrad
Title: Mars Solar Radiation
Version: 1.0.0
Description: A set of functions to calculate solar irradiance and insolation on Mars horizontal and inclined surfaces. Based on NASA Technical Memoranda 102299, 103623, 105216, 106321, and 106700, i.e. the canonical Mars solar radiation papers.
License: GPL-3
URL: https://georges.fyi/marsrad/, https://github.com/georgeslabreche/marsrad
BugReports: https://github.com/georgeslabreche/marsrad/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: stats
Suggests: testthat, covr, DT, htmltools
NeedsCompilation: no
Packaged: 2025-11-24 05:33:29 UTC; georgeslabreche
Author: Georges Labreche [aut, cre]
Maintainer: Georges Labreche <georges@tanagraspace.com>
Repository: CRAN
Date/Publication: 2025-11-27 19:10:07 UTC

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New package grasps with initial version 0.1.0
Package: grasps
Title: Groupwise Regularized Adaptive Sparse Precision Solution
Version: 0.1.0
Maintainer: Shiying Xiao <shiying.xiao@outlook.com>
Description: Provides a unified framework for sparse-group regularization and precision matrix estimation in Gaussian graphical models. It implements multiple sparse-group penalties, including sparse-group lasso, sparse-group adaptive lasso, sparse-group SCAD, and sparse-group MCP, and solves them efficiently using ADMM-based optimization. The package is designed for high-dimensional network inference where both sparsity and group structure are present.
License: GPL (>= 3)
URL: https://github.com/Carol-seven/grasps, https://shiying-xiao.com/grasps/
BugReports: https://github.com/Carol-seven/grasps/issues
Encoding: UTF-8
Imports: igraph, ggforce, ggplot2, grDevices, Rcpp, Rdpack, scales
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, MASS, quarto, rmarkdown
VignetteBuilder: knitr, quarto
NeedsCompilation: yes
Packaged: 2025-11-24 04:09:47 UTC; csxiao
Author: Shiying Xiao [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-27 19:10:14 UTC

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New package glscalibrator with initial version 0.1.0
Package: glscalibrator
Title: Automated Calibration and Analysis of 'GLS' (Global Location Sensor) Data
Version: 0.1.0
Maintainer: Fabio Favoretto <favoretto.fabio@gmail.com>
Description: Provides a fully automated workflow for calibrating and analyzing light-level geolocation ('GLS') data from seabirds and other wildlife. The 'glscalibrator' package auto-discovers birds from directory structures, automatically detects calibration periods from the first days of deployment, processes multiple individuals in batch mode, and generates standardized outputs including position estimates, diagnostic plots, and quality control metrics. Implements the established threshold workflow internally, following the methods described in 'SGAT' (Wotherspoon et al. (2016) <https://github.com/SWotherspoon/SGAT>), 'GeoLight' (Lisovski et al. (2012) <doi:10.1111/j.2041-210X.2012.00185.x>), and 'TwGeos' (Lisovski et al. (2019) <https://github.com/slisovski/TwGeos>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: magrittr, maps, dplyr, lubridate, stringr, utils, grDevices, graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/fabbiologia/glscalibrator
BugReports: https://github.com/fabbiologia/glscalibrator/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-24 15:28:27 UTC; aburtolab
Author: Fabio Favoretto [aut, cre] , Cecilia Soldatini [aut]
Repository: CRAN
Date/Publication: 2025-11-27 19:50:02 UTC

More information about glscalibrator at CRAN
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New package FactEff with initial version 1.0
Package: FactEff
Version: 1.0
Date: 2025-11-24
Title: Efficiencies of Block Designs for Factorial and Fractional Factorial Experiments
Author: Sukanta Dash [aut], Baidya Nath Mandal [aut, cre], Anil Kumar [aut]
Maintainer: Baidya Nath Mandal <mandal.stat@gmail.com>
Depends: R (>= 4.5.0)
Imports: shiny, MASS, Matrix, htmltools
Description: Opens a 'shiny' app which supports theoretical and computational analysis of block designs for symmetrical and mixed level factorial experiments. This package includes tools to check whether a design has orthogonal factorial structure (OFS) with balance or not and is able to find the orthogonality deviation value if not having OFS. This package includes function to evaluate efficiency factor of all factorial effects in two situations, in the first situation if the design is verified with OFS and balance then calculate the efficiencies of all factorial effects using a specific analytical procedure and in the second situation if the design is verified with non-OFS and balance then a new general method has been developed and used to calculate efficiencies under the condition that the design should be proper and equi-replicated, See Gupta, S.C. and Mukerjee, R. (1987): "A Calculus for factorial arrangements". Lecture Notes in Statistics. No. 59, Springer-Verlag, Berlin, New York, <do [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-24 07:13:26 UTC; user17
Repository: CRAN
Date/Publication: 2025-11-27 19:10:20 UTC

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New package colorize with initial version 0.2.1
Package: colorize
Title: Render Text in Color for Markdown/Quarto Documents
Description: Provides some simple functions for printing text in color in 'markdown' or 'Quarto' documents, to be rendered as HTML or LaTeX. This is useful when writing about the use of colors in graphs or tables, where you want to print their names in their actual color to give a direct impression of the color, like “red” shown in red, or “blue” shown in blue.
Version: 0.2.1
Date: 2025-11-24
Depends: R (>= 4.1.0)
Imports: colorspace, knitr
Suggests: quarto, glue, crayon
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: quarto
Language: en-US
URL: https://github.com/friendly/colorize
BugReports: https://github.com/friendly/colorize/issues
NeedsCompilation: no
Packaged: 2025-11-24 14:30:40 UTC; friendly
Author: Michael Friendly [aut, cre] , Achim Zeileis [aut] , Richard Brath [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>
Repository: CRAN
Date/Publication: 2025-11-27 19:50:07 UTC

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New package tidydp with initial version 0.1.0
Package: tidydp
Title: Tidy Differential Privacy
Version: 0.1.0
Description: A tidy-style interface for applying differential privacy to data frames. Provides pipe-friendly functions to add calibrated noise, compute private statistics, and track privacy budgets using the epsilon-delta differential privacy framework. Implements the Laplace mechanism (Dwork et al. 2006 <doi:10.1007/11681878_14>) and the Gaussian mechanism for achieving differential privacy as described in Dwork and Roth (2014) <doi:10.1561/0400000042>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: magrittr, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/ttarler/tidydp
BugReports: https://github.com/ttarler/tidydp/issues
NeedsCompilation: no
Packaged: 2025-11-23 17:20:57 UTC; ttarler
Author: Thomas Tarler [aut, cre]
Maintainer: Thomas Tarler <ttarler@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-27 19:00:02 UTC

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Package gpmap updated to version 0.1.3 with previous version 0.1.2 dated 2021-02-15

Title: Analysing and Plotting Genotype-Phenotype Maps
Description: Tools for studying genotype-phenotype maps for bi-allelic loci underlying quantitative phenotypes. The 0.1 version is released in connection with the publication of Gjuvsland et al (2013) and implements basic line plots and the monotonicity measures for GP maps presented in the paper. Reference: Gjuvsland AB, Wang Y, Plahte E and Omholt SW (2013) Monotonicity is a key feature of genotype-phenotype maps. Frontier in Genetics 4:216 <doi:10.3389/fgene.2013.00216>.
Author: Arne B. Gjuvsland [aut, cre], Yunpeng Wang [aut]
Maintainer: Arne B. Gjuvsland <arne.gjuvsland@nmbu.no>

Diff between gpmap versions 0.1.2 dated 2021-02-15 and 0.1.3 dated 2025-11-27

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Package sasfunclust (with last version 1.0.0) was removed from CRAN

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

2021-04-02 1.0.0

Permanent link
Package msce (with last version 1.0.1) was removed from CRAN

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

2020-10-29 1.0.1

Permanent link
Package fipp (with last version 1.0.0) was removed from CRAN

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

2021-02-11 1.0.0

Permanent link
Package mgss (with last version 1.2) was removed from CRAN

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

2021-05-10 1.2

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Package sbo (with last version 0.5.0) was removed from CRAN

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

2020-12-05 0.5.0
2020-11-09 0.3.2
2020-11-04 0.3.0

Permanent link
Package manifold (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:

2022-10-04 0.1.1

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Package MHD (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:

2024-01-24 0.1.2
2023-04-24 0.1.1

Permanent link
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>

Diff between wbids versions 1.1.1 dated 2025-11-11 and 1.1.2 dated 2025-11-27

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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>

Diff between greenR versions 0.0.1.4 dated 2025-09-08 and 0.0.1.5 dated 2025-11-27

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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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 R/geom_bar_range.R                                                                 |    7 
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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>

Diff between CvmortalityMult versions 1.1.0 dated 2025-05-09 and 1.1.1 dated 2025-11-27

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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>

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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>

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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>

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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>

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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>

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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>

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

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Package fairness (with last version 1.2.2) was removed from CRAN

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Package dsld (with last version 1.0.0) was removed from CRAN

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Package FCMapper (with last version 1.1) was removed from CRAN

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Package Momocs (with last version 1.4.1) was removed from CRAN

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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>

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 lintr-3.3.0-1/lintr/tests/testthat/test-boolean_arithmetic_linter.R                |   40 
 lintr-3.3.0-1/lintr/tests/testthat/test-brace_linter.R                             |  192 ++-
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 lintr-3.3.0-1/lintr/tests/testthat/test-one_call_pipe_linter.R                     |   36 
 lintr-3.3.0-1/lintr/tests/testthat/test-outer_negation_linter.R                    |   34 
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 lintr-3.3.0-1/lintr/tests/testthat/test-unneeded_concatenation_linter.R            |    4 
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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

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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

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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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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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