Fri, 06 Nov 2026

Package shapley updated to version 1.0.0 with previous version 0.7.0 dated 2026-03-04

Title: Weighted Mean SHAP and CI for Robust Feature Assessment in ML Grid
Description: This R package introduces Weighted Mean SHapley Additive exPlanations (WMSHAP), a framework for estimating and combining SHAP values across a grid of fine-tuned machine learning models or the base learners of stacked ensembles. Rather than relying on a single best-performing model, WMSHAP combines SHAP values from multiple models, weighting their contributions according to predictive performance. Model weights can be calculated using R-squared for regression and classification models or, for binary classifiers, the area under the precision-recall curve (AUCPR), the area under the receiver operating characteristic curve (AUC), or the F2 score. The package also provides weighted confidence intervals for mean SHAP values, allowing feature importance to be evaluated across multiple models while accounting for variability in their contributions. This approach particularly improves accuracy if feature importance assessment at both local (individual) and global (feature) levels and improves t [...truncated...]
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@hotmail.com>

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Package iq updated to version 2.2.0 with previous version 2.1.0 dated 2026-10-27

Title: Protein Quantification in Mass Spectrometry-Based Proteomics
Description: An implementation of the MaxLFQ algorithm by Cox et al. (2014) <doi:10.1074/mcp.M113.031591> using least-squares analysis in a comprehensive pipeline for processing proteomics data in data-independent acquisition mode (Pham et al. 2020 <doi:10.1093/bioinformatics/btz961>, and a new algorithm using the conjugate gradient method Pham et al. 2026 <doi:10.1021/acs.jproteome.5c01038>). It offers additional options for protein quantification using the N most intense fragment ions, using all fragment ions, the median polish algorithm by Tukey (1977, ISBN:0201076160), a robust linear model, and fragment weighting. A new iq format enables the processing of large-scale datasets. In general, the tool can be used to integrate multiple proportional observations into a single quantitative value.
Author: Thang V. Pham [aut, cre, cph] , Alex A. Henneman [ctb]
Maintainer: Thang V. Pham <t.pham@amsterdamumc.nl>

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Package funcml updated to version 0.9.6 with previous version 0.9.0 dated 2026-08-22

Title: Functional Machine Learning Framework
Description: A compact and explicit machine learning framework for supervised learning, resampling-based evaluation, hyperparameter tuning, learner comparison, interpretation, and plug-in g-computation. The package uses standard formulas for model specification and provides stable S3 interfaces for fitting, evaluation, tuning, interpretation, and causal estimation across a learner registry with multiple backend engines. Implemented interpretation methods build on established approaches such as permutation-based variable importance, partial dependence, individual conditional expectation, accumulated local effects, SHAP, and LIME; see Friedman (2001) <doi:10.1214/aos/1013203451>, Goldstein et al. (2015) <doi:10.1080/10618600.2014.907095>, Apley and Zhu (2020) <doi:10.1111/rssb.12377>, Lundberg and Lee (2017) <doi:10.48550/arXiv.1705.07874>, and Ribeiro et al. (2016) <doi:10.48550/arXiv.1602.04938>. The framework is intentionally opinionated: preprocessing is expected to [...truncated...]
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package rkriging updated to version 1.1.0 with previous version 1.0.2 dated 2025-03-28

Title: Kriging Modeling
Description: An 'Eigen'-based computationally efficient 'C++' implementation for fitting various kriging models to data. This research is supported by U.S. National Science Foundation grant DMS-2310637.
Author: Chaofan Huang [aut], Difan Song [aut, cre], V. Roshan Joseph [aut]
Maintainer: Difan Song <dfsong96@gmail.com>

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Package cppally updated to version 1.2.1 with previous version 1.2.0 dated 2026-11-05

Title: A 'C++20' API for R
Description: A header-only 'C++20' API for manipulating R data structures from 'C++'. Provides 'C++20' concepts specific to R, custom scalar and vector classes with built-in NA handling, automatic object protection, 'SIMD' (single-instruction-multiple-data), parallelisation, and a streamlined system for registering 'C++' functions, including templates, to R. Full API reference and documentation are available at <https://nicchr.github.io/cppally/>.
Author: Nick Christofides [aut, cre, cph] , Martin Leitner-Ankerl [cph] , Malte Skarupke [cph] , Ryo Suzuki [cph] , Posit Software, PBC [cph]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

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Package ss3sim (with last version 1.0.3) was removed from CRAN

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

2019-11-08 1.0.3
2017-04-18 0.9.5
2016-11-30 0.9.3
2016-04-24 0.9.2
2015-12-24 0.9.0
2014-03-09 0.8.2
2014-01-22 0.8.0

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Package rladybugdb (with last version 0.4.4) was removed from CRAN

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

2026-10-16 0.4.4

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Package adea (with last version 1.5.2) was removed from CRAN

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

2024-11-12 1.5.2
2023-11-24 1.5.1
2023-11-15 1.4.5
2023-11-08 1.4.4
2022-02-10 1.3.1
2021-12-14 1.2.1
2021-09-07 1.1.6

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Package rcxl updated to version 0.1.2 with previous version 0.1.1 dated 2026-10-05

Title: Read xlsx Files with a Native Parser
Description: Reads tabular data from xlsx files with a specialized C parser. Worksheet XML is scanned in a single pass into compact per-column buffers, with no intermediate document model, and the R vectors are built from those. Bundles the 'miniz' and 'libdeflate' decompressors to read the underlying archive.
Author: Vincent Shields [aut, cre, cph], Rich Geldreich [ctb, cph] , Tenacious Software LLC [cph] , RAD Game Tools and Valve Software [cph] , Martin Raiber [ctb, cph] , Alex Evans [ctb] , Alistair Moffat [ctb] , Jyrki Katajainen [ctb] , Eric Biggers [ctb, cp [...truncated...]
Maintainer: Vincent Shields <vince.shields913@gmail.com>

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Package MetaRVM updated to version 2.2.0 with previous version 2.1.0 dated 2026-03-26

Title: Meta-Population Compartmental Model for Respiratory Virus Diseases
Description: Simulates respiratory virus epidemics using meta-population compartmental models following Fadikar et. al. (2025) <doi:10.1109/WSC68292.2025.11338996>. 'MetaRVM' implements a stochastic SEIRD (Susceptible-Exposed-Infected-Recovered-Dead) framework with demographic stratification by user provided attributes. It supports complex epidemiological scenarios including asymptomatic and presymptomatic transmission, hospitalization dynamics, vaccination schedules, and time-varying contact patterns via mixing matrices.
Author: Arindam Fadikar [aut, cre, cph] , Charles Macal [ctb], Martinez Moyano Ignacio Javier [ctb], Ozik Jonathan [ctb]
Maintainer: Arindam Fadikar <afadikar@anl.gov>

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 man/meta_measles_sim.Rd                             |only
 man/meta_sim.Rd                                     |   13 
 man/parse_config.Rd                                 |   79 -
 man/parse_config_measles.Rd                         |only
 tests/testthat/test-build_config.R                  |only
 tests/testthat/test-measles.R                       |only
 tests/testthat/test-metaRVM.R                       |   41 
 tests/testthat/test-meta_sim.R                      |    6 
 tests/testthat/test-parse_config.R                  |  203 +++
 tests/testthat/testdata/sample_config.yaml          |    2 
 vignettes/checkpointing.Rmd                         |   34 
 vignettes/getting-started.Rmd                       |    7 
 vignettes/running-a-simulation.Rmd                  |   78 +
 vignettes/yaml-configuration.Rmd                    |  218 ++-
 63 files changed, 3493 insertions(+), 1415 deletions(-)

More information about MetaRVM at CRAN
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