Wed, 11 Nov 2026

Package unikn updated to version 1.1.0 with previous version 1.0.0 dated 2024-04-16

Title: Graphical Elements of the University of Konstanz's Corporate Design
Description: Define and use graphical elements of corporate design manuals in R. The 'unikn' package <doi:10.5281/zenodo.7096191> provides color functions (by defining dedicated colors and color palettes, and commands for finding, changing, viewing, and using them) and styled text elements (e.g., for marking, underlining, or plotting colored titles). The pre-defined range of colors and text decoration functions is based on the corporate design of the University of Konstanz <https://www.uni-konstanz.de/>, but can be adapted and extended for other purposes or institutions.
Author: Hansjoerg Neth [aut, cre] , Nico Gradwohl [aut]
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

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Package gadget3 updated to version 1.0-0 with previous version 0.15-1 dated 2026-01-12

Title: Globally-Applicable Area Disaggregated General Ecosystem Toolbox V3
Description: A framework to assist creation of marine ecosystem models, generating either 'R' or 'C++' code which can then be optimised using the 'TMB' package and standard 'R' tools. Principally designed to reproduce gadget2 models in 'TMB', but can be extended beyond gadget2's capabilities. Kasper Kristensen, Anders Nielsen, Casper W. Berg, Hans Skaug, Bradley M. Bell (2016) <doi:10.18637/jss.v070.i05> "TMB: Automatic Differentiation and Laplace Approximation.". Begley, J., & Howell, D. (2004) <doi:10.17895/ices.pub.25349308> "An overview of Gadget, the globally applicable area-disaggregated general ecosystem toolbox. ICES.".
Author: Jamie Lentin [aut, cre] , Bjarki Thor Elvarsson [aut] , William Butler [aut] , Marine and Freshwater Research Institute [cph]
Maintainer: Jamie Lentin <lentinj@shuttlethread.com>

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Package fastglm updated to version 0.1.4 with previous version 0.1.3 dated 2026-11-09

Title: Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen'
Description: Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares implementation utilizes the step-halving approach of Marschner (2011) <doi:10.32614/RJ-2011-012> to help safeguard against convergence issues. Provides formula and matrix interfaces for count and cumulative-link ordinal models, mean bias reduction, and fitting from data read in blocks of rows for supported model classes.
Author: Jared Huling [aut, cre], Douglas Bates [cph], Dirk Eddelbuettel [cph], Romain Francois [cph], Yixuan Qiu [cph], Noah Greifer [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package grates updated to version 1.8.1 with previous version 1.8.0 dated 2026-03-25

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package ggfortify updated to version 0.4.25 with previous version 0.4.24 dated 2026-10-01

Title: Data Visualization Tools for Statistical Analysis Results
Description: Unified plotting tools for statistics commonly used, such as GLM, time series, PCA families, clustering and survival analysis. The package offers a single plotting interface for these analysis results and plots in a unified style using 'ggplot2'.
Author: Masaaki Horikoshi [aut], Yuan Tang [aut, cre] , Austin Dickey [ctb], Matthias Grenie [ctb], Ryan Thompson [ctb], Luciano Selzer [ctb], Dario Strbenac [ctb], Kirill Voronin [ctb], Damir Pulatov [ctb], Emik Lin [ctb]
Maintainer: Yuan Tang <terrytangyuan@gmail.com>

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Package dials updated to version 1.4.5 with previous version 1.4.4 dated 2026-06-22

Title: Tools for Creating Tuning Parameter Values
Description: Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the data). These tools can be used to define objects for creating, simulating, or validating values for such parameters.
Author: Max Kuhn [aut], Hannah Frick [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>

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Package xemd updated to version 0.1.6 with previous version 0.1.5 dated 2026-11-08

Title: eXtended Empirical Mode Decomposition
Description: Signals are decomposed into oscillatory modes by empirical mode decomposition and its ensemble, complementary ensemble, complete ensemble, masked, bivariate and multivariate variants, by variational mode decomposition and its multivariate and successive variants, and by local mean decomposition, iterative filtering, time varying filter empirical mode decomposition and the empirical wavelet transform; the synchrosqueezed wavelet transform is also provided. Empirical mode decomposition is due to Huang et al. (1998) <doi:10.1098/rspa.1998.0193>, its ensemble variant to Wu and Huang (2009) <doi:10.1142/S1793536909000047> and variational mode decomposition to Dragomiretskiy and Zosso (2014) <doi:10.1109/TSP.2013.2288675>. The modes can be described by their instantaneous amplitude and frequency and their Hilbert spectrum, tested as intrinsic mode functions or against white noise, selected by energy and compared through orthogonality, mode splitting, reconstruction quality, [...truncated...]
Author: Alejandro Daniel Verri [aut, cre, cph, trl] , G. Rilling [ctb] , Marcelo A. Colominas [cph] , Pierre Masselot [ctb] , Vinicius Rezende Carvalho [ctb, cph] , Eduardo Mazoni [cph] , Jerome Gilles [ctb, cph] , Kathryn Heal [ctb] , Emanuele Papini [ctb, [...truncated...]
Maintainer: Alejandro Daniel Verri <averri@fi.uba.ar>

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Package TRexSelector updated to version 2.0.1 with previous version 2.0.0 dated 2026-11-06

Title: T-Rex Selector: High-Dimensional Variable Selection and FDR Control
Description: Variable selection for regression and classification in high-dimensional settings with control of the false discovery rate (FDR) at a user-specified target level. The implementations are primarily based on the T-Rex selector of Machkour, Muma and Palomar (2025) <doi:10.1016/j.sigpro.2025.109894> and its dependency-aware extension for correlated variables by Machkour, Muma and Palomar (2025) <doi:10.1016/j.sigpro.2025.109990>. Since version 2.0.0 the package comes as R bindings to the 'TRexSelector' C++ library, which replaces the pure-R implementation of the 1.x releases.
Author: Jasin Machkour [aut, cre], Fabian Scheidt [aut], Simon Tien [ctb], Daniel P. Palomar [aut], Michael Muma [aut]
Maintainer: Jasin Machkour <jasin.machkour@tu-darmstadt.de>

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Package KrigInv updated to version 1.4.3 with previous version 1.4.2 dated 2022-09-09

Title: Kriging-Based Inversion for Deterministic and Noisy Computer Experiments
Description: Criteria and algorithms for sequentially estimating level sets of a multivariate numerical function, possibly observed with noise. The methods are described in Chevalier, Picheny and Ginsbourger (2014) <doi:10.1016/j.csda.2013.03.008> and Azzimonti, Ginsbourger, Chevalier, Bect and Richet (2021) <doi:10.1080/00401706.2019.1693427>.
Author: Clement Chevalier [aut], Dario Azzimonti [aut, cre] , David Ginsbourger [aut] , Victor Picheny [aut] , Yann Richet [ctb]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

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Package glyrepr updated to version 1.2.1 with previous version 1.2.0 dated 2026-10-22

Title: Representation for Glycan Compositions and Structures
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

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Package corehunter updated to version 3.2.4 with previous version 3.2.3 dated 2023-09-01

Title: Multi-Purpose Core Subset Selection
Description: Core Hunter is a tool to sample diverse, representative subsets from large germplasm collections, with minimum redundancy. Such so-called core collections have applications in plant breeding and genetic resource management in general. Core Hunter can construct cores based on genetic marker data, phenotypic traits or precomputed distance matrices, optimizing one of many provided evaluation measures depending on the precise purpose of the core (e.g. high diversity, representativeness, or allelic richness). In addition, multiple measures can be simultaneously optimized as part of a weighted index to bring the different perspectives closer together. The Core Hunter library is implemented in Java 8 as an open source project (see <http://www.corehunter.org>).
Author: Herman De Beukelaer [aut, cre], Guy Davenport [aut], Veerle Fack [ths]
Maintainer: Herman De Beukelaer <herman.debeukelaer@gmail.com>

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Package cifmodeling updated to version 1.2.3 with previous version 1.0.0 dated 2026-06-30

Title: Visualization and Polytomous Modeling of Survival and Competing Risks
Description: A publication-ready toolkit for modern survival and competing risks analysis with a minimal, formula-based interface. Both nonparametric estimation and direct polytomous regression of cumulative incidence functions (CIFs) are supported. The main functions 'cifcurve()', 'cifplot()', and 'cifpanel()' estimate survival and CIF curves and produce high-quality graphics with risk tables, censoring and competing-risk marks, and multi-panel or inset layouts built on 'ggplot2' and 'ggsurvfit'. The modeling function 'polyreg()' performs direct polytomous regression for coherent joint modeling of all cause-specific CIFs to estimate risk ratios, odds ratios, or subdistribution hazard ratios at user-specified time points. The function 'ciftest()' provides log-rank, Gray, robust score, augmented score, and multiple-direction tests for survival and competing-risk outcomes. All core functions adopt a formula-and-data syntax and return tidy and extensible outputs that integrate smoothly with 'modelsumm [...truncated...]
Author: Shiro Tanaka [aut, cre, cph] , Shigetaka Kobari [ctb], Chisato Honda [ctb]
Maintainer: Shiro Tanaka <gestimation@gmail.com>

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Package mltools (with last version 0.3.5) was removed from CRAN

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

2018-05-11 0.3.5
2017-12-05 0.3.4
2017-09-12 0.3.3
2017-08-28 0.3.2
2017-07-10 0.3.1
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2016-11-27 0.1.0

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2025-01-23 0.1.0

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

2026-03-13 1.0.1
2023-10-11 1.0.0
2023-08-23 0.5.0
2023-06-13 0.4.2
2022-06-20 0.4.1
2022-02-10 0.4.0
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2020-11-02 0.2.0
2020-09-29 0.1.0

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2025-12-03 1.2.2
2024-11-01 1.2.1
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2024-07-18 1.1.0
2024-03-07 1.0.2

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Package ssel updated to version 0.5.2 with previous version 0.5.1 dated 2026-10-25

Title: Semi-Supervised Ensemble Learning
Description: Weighted-ensemble regression over base learners supported by 'caret' (Kuhn (2008) <doi:10.18637/jss.v028.i05>), with cross-validated hyperparameter selection, out-of-fold diagnostics, and signed residual- offset estimates. Multi-response problems use iterative input-space expansion related to Spyromitros-Xioufis et al. (2016) <doi:10.1007/s10994-016-5546-z>, with Jacobi or 'Gauss-Seidel' sweeps, package-defined companion gates and per-response iteration stitching. A package-defined pseudo-label stage promotes prediction rows by a cross-model and cross-dataset range ratio and accepts rounds with an out-of-fold squared-correlation gauge.
Author: Alejandro Verri Kozlowski [aut, cre, cph]
Maintainer: Alejandro Verri Kozlowski <averri@fi.uba.ar>

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Package rcicr updated to version 1.6.1 with previous version 1.5.0 dated 2026-09-27

Title: Reverse-Correlation Image-Classification Toolbox
Description: Generate stimuli and analyze data of reverse correlation image classification experiments (psychophysical tasks aimed at visualizing cognitive mental representations of faces). For the method see Dotsch and Todorov (2012) <doi:10.1177/1948550611430272>; for a practical primer see Brinkman, Todorov and Dotsch (2017) <doi:10.1080/10463283.2017.1381469>.
Author: Ron Dotsch [aut, cre]
Maintainer: Ron Dotsch <rdotsch@gmail.com>

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Package LAGOtrials updated to version 1.2.0 with previous version 1.1.1 dated 2026-11-04

Title: Learn-as-You-Go Adaptive Trial Optimization
Description: Optimizes interventions for adaptive "Learn-As-you-GO" (LAGO) trials, in which the intervention package is updated between stages using accumulating data. Given data from completed stages, lago_optimization() fits the outcome model (via 'stats' generalized linear models or, for clustered designs, cluster-robust variance) and computes the cost-optimal recommended intervention for the next stage that is expected to reach a target mean outcome and/or a desired statistical power. get_confidence_set() constructs confidence sets for the optimal intervention, and visualize_cost() and lago_report() summarize the cost surface and results. Methods are described in Nevo, Lok and Spiegelman (2021) <doi:10.1214/20-aos1978> and Bing, Spiegelman, Nevo and Lok (2025) <doi:10.1093/biomtc/ujaf061>.
Author: Ante Bing [aut, cre], Minh Bui [aut], Jingyu Cui [aut], Mike Bostock [cph]
Maintainer: Ante Bing <abing@bu.edu>

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Package DIVINE updated to version 0.1.3 with previous version 0.1.2 dated 2026-03-30

Title: Curated Datasets and Tools for Epidemiological Data Analysis
Description: Curated datasets and intuitive data management functions to streamline epidemiological data workflows. It is designed to support researchers in quickly accessing clean, structured data and applying essential cleaning, summarizing, visualization, and export operations with minimal effort. Whether you're preparing a cohort for analysis or creating reports, 'DIVINE' makes the process more efficient, transparent, and reproducible.
Author: Natalia Pallares [aut, cre], Joao Carmezim [aut], Pau Satorra [aut], Lucia Blanc [aut], Cristian Tebe [aut]
Maintainer: Natalia Pallares <napallares@recerca.clinic.cat>

Diff between DIVINE versions 0.1.2 dated 2026-03-30 and 0.1.3 dated 2026-11-11

 DESCRIPTION                    |    8 
 MD5                            |   77 +--
 NAMESPACE                      |   28 -
 NEWS.md                        |   44 +-
 R/analytics.R                  |    6 
 R/comorbidities.R              |    6 
 R/complications.R              |    6 
 R/concomitant_medication.R     |    6 
 R/demographic.R                |    6 
 R/end_followup.R               |   10 
 R/icu.R                        |   12 
 R/inhosp_antibiotics.R         |    6 
 R/inhosp_antivirals.R          |    6 
 R/inhosp_other_treatments.R    |    6 
 R/multi_plot.R                 |  816 ++++++++++++++++++++---------------------
 R/scores.R                     |    6 
 R/symptoms.R                   |    6 
 R/vaccine.R                    |    6 
 R/vital_signs.R                |    6 
 README.md                      |  242 ++++++------
 build/partial.rdb              |only
 build/vignette.rds             |binary
 inst/CITATION                  |   30 +
 inst/doc/DIVINE.Rmd            |  676 ++++++++++++++++-----------------
 man/analytics.Rd               |    6 
 man/comorbidities.Rd           |    6 
 man/complications.Rd           |    6 
 man/concomitant_medication.Rd  |    6 
 man/demographic.Rd             |    6 
 man/end_followup.Rd            |   10 
 man/icu.Rd                     |   74 +--
 man/impute_missing.Rd          |  152 +++----
 man/inhosp_antibiotics.Rd      |    6 
 man/inhosp_antivirals.Rd       |    6 
 man/inhosp_other_treatments.Rd |    6 
 man/scores.Rd                  |    6 
 man/symptoms.Rd                |    6 
 man/vaccine.Rd                 |    6 
 man/vital_signs.Rd             |    6 
 vignettes/DIVINE.Rmd           |  676 ++++++++++++++++-----------------
 40 files changed, 1581 insertions(+), 1418 deletions(-)

More information about DIVINE at CRAN
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