Fri, 01 May 2026

Package SmCCNet updated to version 2.0.7 with previous version 2.0.6 dated 2026-04-28

Title: Sparse Multiple Canonical Correlation Network Analysis Tool ('SmCCNet')
Description: A canonical correlation based framework ('SmCCNet') designed for the construction of phenotype-specific multi-omics networks. This framework adeptly integrates single or multiple omics data types along with a quantitative or binary phenotype of interest. It offers a streamlined setup process that can be tailored manually or configured automatically, ensuring a flexible and user-friendly experience. Methods are described in Shi et al. (2019) "Unsupervised discovery of phenotype-specific multi-omics networks" <doi:10.1093/bioinformatics/btz226>.
Author: Abhinav Pundir [cre], Weixuan Liu [aut], Yonghua Zhuang [aut], W. Jenny Shi [aut], Thao Vu [aut], Iain Konigsberg [aut], Katherine Pratte [aut], Laura Saba [aut], Katerina Kechris [aut]
Maintainer: Abhinav Pundir <abhinav.pundir@ucdenver.edu>

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Package ineptr2 updated to version 0.3.1 with previous version 0.3.0 dated 2026-04-28

Title: Wrapper for Statistics Portugal API
Description: An R6-based client to facilitate interaction with the Statistics Portugal (Instituto Nacional de Estatistica - INE) API (<https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_api&INST=322751522&xlang=en>).
Author: Carlos Matos [aut, cre, cph]
Maintainer: Carlos Matos <carlosmdmatos@gmail.com>

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Package Dimodal updated to version 1.0.4 with previous version 1.0.3 dated 2026-02-18

Title: Spacing Tests for Multi-Modality
Description: Tests for modality of data using its spacing. The main approach evaluates features (peaks, flats) using a combination of parametric models and non-parametric tests, either after smoothing the spacing by a low-pass filter or by looking over larger intervals.
Author: Greg Kreider [aut, cre], Melissa O'Neill [cph], Primordial Machine Vision Systems, Inc. [cph]
Maintainer: Greg Kreider <support@primachvis.com>

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More information about Dimodal at CRAN
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Package crs updated to version 0.15-42 with previous version 0.15-41 dated 2026-04-11

Title: Categorical Regression Splines
Description: Regression splines that handle a mix of continuous and categorical (discrete) data often encountered in applied settings. I would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://www.sharcnet.ca>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
Author: Jeffrey S. Racine [aut, cre], Zhenghua Nie [aut], Brian D. Ripley [ctb]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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Package toxpiR updated to version 1.3.2 with previous version 1.3.1 dated 2025-12-16

Title: Create ToxPi Prioritization Models
Description: Enables users to build 'ToxPi' prioritization models and provides functionality within the grid framework for plotting ToxPi graphs. 'toxpiR' allows for more customization than the 'ToxPi GUI' (<https://toxpi.github.io/>) and integration into existing workflows for greater ease-of-use, reproducibility, and transparency. toxpiR package behaves nearly identically to the GUI; the package documentation includes notes about all differences. The vignettes download example files from <https://github.com/ToxPi/ToxPi-example-files>.
Author: Jonathon F Fleming [aut, cre] , Dayne L Filer [aut, fnd] , Dillon T Lloyd [aut], Preethi Thunga [aut] , Skylar W Marvel [aut], Alison A Motsinger-Reif [fnd] , David M Reif [aut, fnd]
Maintainer: Jonathon F Fleming <jffleming0129@gmail.com>

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Package spCF updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-19

Title: Coarse-to-Fine Spatial Modeling
Description: Provides functions for coarse-to-fine spatial modeling (CFSM), enabling fast spatial prediction, regression, and uncertainty quantification. This method is suitable for moderate to large samples. For further details, see Murakami et al. (2026) <doi:10.1111/gean.70034>.
Author: Daisuke Murakami [aut, cre], Alexis Comber [aut], Takahiro Yoshida [aut], Narumasa Tsutsumida [aut], Chris Brunsdon [aut], Tomoki Nakaya [aut]
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>

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Package roxygen2 updated to version 8.0.0 with previous version 7.3.3 dated 2025-09-03

Title: In-Line Documentation for R
Description: Generate your Rd documentation, 'NAMESPACE' file, and collation field using specially formatted comments. Writing documentation in-line with code makes it easier to keep your documentation up-to-date as your requirements change. 'roxygen2' is inspired by the 'Doxygen' system for C++.
Author: Hadley Wickham [aut, cre, cph] , Peter Danenberg [aut, cph], Gabor Csardi [aut], Manuel Eugster [aut, cph], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package pould readmission to version 1.0.2 with previous version 1.0.1 dated 2020-10-16

Title: Phased or Unphased Linkage Disequilibrium
Description: Computes the D', Wn, and conditional asymmetric linkage disequilibrium (ALD) measures for pairs of genetic loci. Performs these linkage disequilibrium (LD) calculations on phased genotype data recorded using Genotype List (GL) String or columnar formats. Alternatively, generates expectation-maximization (EM) estimated haplotypes from phased data, or performs LD calculations on EM estimated haplotypes. Performs sign tests comparing LD values for phased and unphased datasets, and generates heat-maps for each LD measure. Described by Osoegawa et al. (2019a) <doi:10.1016/j.humimm.2019.01.010>, and Osoegawa et. al. (2019b) <doi:10.1016/j.humimm.2019.05.018>.
Author: Steven Mack [aut, cre]
Maintainer: Steven Mack <steven.mack@ucsf.edu>

This is a re-admission after prior archival of version 1.0.1 dated 2020-10-16

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Package pequod updated to version 0.2.0 with previous version 0.1.1 dated 2026-04-29

Title: Colour Palette for Reading and Code, Inspired by Moby-Dick
Description: The Pequod colour palette, named after the whaler in Herman Melville's Moby-Dick. Provides the full Log base scale from warm paper (Log 50) to deep ink (Log 950), eight crew accent hues with light and dark variants, and 'ggplot2' scales for discrete and continuous mapping. Designed for long-form reading and code, with low saturation and a consistent earth- pigment register. Full design rationale and accessibility notes at <https://tiagojct.eu/projects/pequod/>.
Author: Tiago Jacinto [aut, cre]
Maintainer: Tiago Jacinto <tiagojacinto@med.up.pt>

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Package GxEScanR readmission to version 3.0.0 with previous version 2.0.2 dated 2020-10-02

Title: Run GWAS/GWEIS Scans Using Binary Dosage Files
Description: Tools to run genome-wide association study (GWAS) and genome-wide by environment interaction study (GWEIS) scans using the genetic data stored in a binary dosage file. The user provides a data frame with the subject's covariate data and the information about the binary dosage file returned by the BinaryDosage::getbdinfo() routine.
Author: John Morrison [aut, cre], W. James Gauderman [aut], NCI [fnd] , NCI [fnd] , NIEHS [fnd] , NHLBI [fnd]
Maintainer: John Morrison <jmorr@usc.edu>

This is a re-admission after prior archival of version 2.0.2 dated 2020-10-02

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Package terminalgraphics updated to version 0.3.0 with previous version 0.2.1 dated 2025-11-26

Title: Graphical Output in Terminals
Description: Defines a graphics device and functions for graphical output in terminal emulators that support graphical output. Currently terminals that support the Terminal Graphics Protocol (<https://sw.kovidgoyal.net/kitty/graphics-protocol/>) and terminal supporting Sixel (<https://en.wikipedia.org/wiki/Sixel>) are supported.
Author: Jan van der Laan [aut, cre] , Doug Kelkhoff [ctb]
Maintainer: Jan van der Laan <r@eoos.dds.nl>

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Package simcross updated to version 0.8 with previous version 0.6 dated 2023-11-29

Title: Simulate Experimental Crosses
Description: Simulate and plot general experimental crosses. The focus is on simulating genotypes with an aim towards flexibility rather than speed. Meiosis is simulated following the Stahl model, in which chiasma locations are the superposition of two processes: a proportion p coming from a process exhibiting no interference, and the remainder coming from a process following the chi-square model.
Author: Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package UKFE updated to version 2.0.1 with previous version 2.0.0 dated 2025-10-28

Title: UK Flood Estimation
Description: Functions to implement the methods of the Flood Estimation Handbook (FEH), associated updates and the revitalised flood hydrograph model (ReFH). Currently the package uses NRFA peak flow dataset version 14. Aside from FEH functionality, further hydrological functions are available. Most of the methods implemented in this package are described in one or more of the following: "Flood Estimation Handbook", Centre for Ecology & Hydrology (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis - an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521 01940 8). "Making better use of local data in flood frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8). "Sampling uncertainty of UK design flood estimation" , Hammond (2021, <doi:10.2166/nh.2021.059>). "The FEH 2025 statistical method update", UK Centre for Ecology and Hydrology (2025). "Low flow es [...truncated...]
Author: Anthony Hammond [aut, cre]
Maintainer: Anthony Hammond <agqhammond@gmail.com>

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Package metap updated to version 1.14 with previous version 1.13 dated 2025-12-18

Title: Meta-Analysis of Significance Values
Description: The canonical way to perform meta-analysis involves using effect sizes. When they are not available this package provides a number of methods for meta-analysis of significance values including the methods of Edgington, Fisher, Lancaster, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate published results; and routines for graphical display.
Author: Michael Dewey [aut, cre]
Maintainer: Michael Dewey <lists@dewey.myzen.co.uk>

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Package lfproQC updated to version 1.4.2 with previous version 1.4.1 dated 2025-07-02

Title: Quality Control for Label-Free Proteomics Expression Data
Description: Label-free bottom-up proteomics expression data is often affected by data heterogeneity and missing values. Normalization and missing value imputation are commonly used techniques to address these issues and make the dataset suitable for further downstream analysis. This package provides an optimal combination of normalization and imputation methods for the dataset. The package utilizes three normalization methods and three imputation methods.The statistical evaluation measures named pooled co-efficient of variance, pooled estimate of variance and pooled median absolute deviation are used for selecting the best combination of normalization and imputation method for the given dataset. The user can also visualize the results by using various plots available in this package. The user can also perform the differential expression analysis between two sample groups with the function included in this package. The chosen three normalization methods, three imputation methods and three evaluati [...truncated...]
Author: Kabilan S [aut, cre], Dr Shashi Bhushan Lal [aut, ths], Dr Sudhir Srivastava [aut, ths], Dr Krishna Kumar Chaturvedi [ths], Dr Yasin Jeshima K [ths], Dr Ramasubramanian V [ths], Dr Girish Kumar Jha [ctb], Dr Sharanbasappa [ctb]
Maintainer: Kabilan S <kabilan151414@gmail.com>

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Package binb updated to version 0.0.8 with previous version 0.0.7 dated 2024-07-06

Title: 'binb' is not 'Beamer'
Description: A collection of 'LaTeX' styles using 'Beamer' customization for pdf-based presentation slides in 'RMarkdown'. At present it contains 'RMarkdown' adaptations of the LaTeX themes 'Metropolis' (formerly 'mtheme') theme by Matthias Vogelgesang and others (now included in 'TeXLive'), the 'IQSS' them by Ista Zahn (which is included here), and the 'Monash' theme by Rob J Hyndman. Additional (free) fonts may be needed: 'Metropolis' prefers 'Fira', and 'IQSS' requires 'Libertinus'.
Author: Dirk Eddelbuettel [aut, cre] , Ista Zahn [aut] , Rob Hyndman [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package nlsr updated to version 2026.4.29 with previous version 2023.8.31 dated 2023-09-05

Title: Functions for Nonlinear Least Squares Solutions - Updated 2022
Description: Provides tools for working with nonlinear least squares problems. For the estimation of models reliable and robust tools than nls(), where the the Gauss-Newton method frequently stops with 'singular gradient' messages. This is accomplished by using, where possible, analytic derivatives to compute the matrix of derivatives and a stabilization of the solution of the estimation equations. Tools for approximate or externally supplied derivative matrices are included. Bounds and masks on parameters are handled properly.
Author: John C Nash [aut, cre], Duncan Murdoch [aut], Fernando Miguez [ctb], Arkajyoti Bhattacharjee [ctb]
Maintainer: John C Nash <profjcnash@gmail.com>

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Package autograph updated to version 1.0.3 with previous version 1.0.0 dated 2026-04-04

Title: Automatic Plotting and Theming of Many Graphs
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package slideimp updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-16

Title: Numeric Matrices K-NN and PCA Imputation
Description: Fast k-nearest neighbors (K-NN) and principal component analysis (PCA) imputation algorithms for missing values in high-dimensional numeric matrices, i.e., epigenetic data. For extremely high-dimensional data with ordered features, a sliding window approach for K-NN or PCA imputation is provided. Additional features include group-wise imputation (e.g., by chromosome), hyperparameter tuning with repeated cross-validation, multi-core parallelization, and optional subset imputation. The K-NN algorithm is described in: Hastie, T., Tibshirani, R., Sherlock, G., Eisen, M., Brown, P. and Botstein, D. (1999) "Imputing Missing Data for Gene Expression Arrays". The PCA imputation is an optimized version of the imputePCA() function from the 'missMDA' package described in: Josse, J. and Husson, F. (2016) <doi:10.18637/jss.v070.i01> "missMDA: A Package for Handling Missing Values in Multivariate Data Analysis".
Author: Hung Pham [aut, cre, cph]
Maintainer: Hung Pham <amser.hoanghung@gmail.com>

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Package prefviz updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-13

Title: Visualizes Preferential Data in One and More Contests
Description: A visualization toolkit for preferential data, such as ranked-choice election results, tournament outcomes, and survey responses. The package provides methods to visualise the preference distribution of one contest with bar charts and pairwise comparisons of two contestants, as well as methods to visualise multiple contests through 2D and high-dimensional simplex plots both statically and interactively. HD simplex displays are implemented via projection methods using the 'tourr' and 'detourr' packages, enabling dynamic exploration of high-dimensional preference structure. For more details on HD simplex projection, see Wickham et al. (2011) <doi:10.21105/joss.03419>.
Author: Linh Ngo [aut, cre], Dianne Cook [aut] , Damjan Vukcevic [aut]
Maintainer: Linh Ngo <linhngo66.work@gmail.com>

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 37 files changed, 1216 insertions(+), 1159 deletions(-)

More information about prefviz at CRAN
Permanent link

Package npRmpi updated to version 0.70-1 with previous version 0.60-20 dated 2026-02-16

Title: Parallel Nonparametric Kernel Smoothing Methods for Mixed Data Types Using 'MPI'
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. This package is a parallel implementation of the 'np' package based on the 'MPI' specification that incorporates the 'Rmpi' package (Hao Yu <hyu@stats.uwo.ca>) with minor modifications and we are extremely grateful to Hao Yu for his contributions to the 'R' community. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the 'GNU GSL' authors. In particular, we adapt the 'GNU GSL' B-spline routine 'gsl_bspline.c' adding automated support for quantile knots (in addition t [...truncated...]
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut], Hao Yu [ctb, cph], The GSL Team [cph], Numerical Recipes Software [cph]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

Diff between npRmpi versions 0.60-20 dated 2026-02-16 and 0.70-1 dated 2026-05-01

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Package ecoXCorr updated to version 0.2.2 with previous version 0.2.1 dated 2026-04-01

Title: Lagged Cross-Correlation Analysis of Environmental Time Series
Description: Tools for analysing lagged relationships between environmental variables and ecological or epidemiological time series. The package implements a workflow to aggregate meteorological data over multiple lagged intervals, fit regression models, including mixed-effect models using 'glmmTMB', for each lag window, and visualise varied models outcomes (effect strength and direction, model prediction error...) using cross-correlation maps ('CCM').
Author: Nicolas Moiroux [aut, cre] , Colombine Bartholomee [aut] , Paul Taconet [aut]
Maintainer: Nicolas Moiroux <nicolas.moiroux@ird.fr>

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Package shazam updated to version 1.3.2 with previous version 1.3.1 dated 2026-01-08

Title: Immunoglobulin Somatic Hypermutation Analysis
Description: Provides a computational framework for analyzing mutations in immunoglobulin (Ig) sequences. Includes methods for Bayesian estimation of antigen-driven selection pressure, mutational load quantification, building of somatic hypermutation (SHM) models, and model-dependent distance calculations. Also includes empirically derived models of SHM for both mice and humans. Citations: Gupta and Vander Heiden, et al (2015) <doi:10.1093/bioinformatics/btv359>, Yaari, et al (2012) <doi:10.1093/nar/gks457>, Yaari, et al (2013) <doi:10.3389/fimmu.2013.00358>, Cui, et al (2016) <doi:10.4049/jimmunol.1502263>.
Author: Mohamed Uduman [aut], Namita Gupta [aut], Susanna Marquez [aut, cre], Julian Zhou [aut], Nima Nouri [aut], Noah Yann Lee [aut], Ang Cui [ctb], Jason Vander Heiden [aut], Gur Yaari [aut], Steven Kleinstein [aut, cph]
Maintainer: Susanna Marquez <susanna.marquez@yale.edu>

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Package cNORM updated to version 3.5.3 with previous version 3.5.2 dated 2026-02-26

Title: Continuous Norming
Description: A comprehensive toolkit for generating continuous test norms in psychometrics and biometrics, and analyzing model fit. The package offers both distribution-free modeling using Taylor polynomials and parametric modeling using the beta-binomial and the 'Sinh-Arcsinh' distribution. Originally developed for achievement tests, it is applicable to a wide range of mental, physical, or other test scores dependent on continuous or discrete explanatory variables. The package provides several advantages: It minimizes deviations from representativeness in subsamples, interpolates between discrete levels of explanatory variables, and significantly reduces the required sample size compared to conventional norming per age group. cNORM enables graphical and analytical evaluation of model fit, accommodates a wide range of scales including those with negative and descending values, and even supports conventional norming. It generates norm tables including confidence intervals. It also includes methods f [...truncated...]
Author: Alexandra Lenhard [aut] , Wolfgang Lenhard [cre, aut] , Sebastian Gary [aut], WPS Publisher [fnd]
Maintainer: Wolfgang Lenhard <wolfgang.lenhard@uni-wuerzburg.de>

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Package SamsaRaLight (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:

2026-04-16 1.0.0

Permanent link
Package ggrounded updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-10

Title: Rounded Bar Plots
Description: Creates bar plots with rounded corners using 'ggplot2'. The code in this package was adapted from a solution provided by Stack Overflow user 'sthoch' in the following post <https://stackoverflow.com/questions/62176038/r-ggplot2-bar-chart-with-round-corners-on-top-of-bar>.
Author: Botan Agin [aut, cre, cph]
Maintainer: Botan Agin <aginbotan@gmail.com>

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Package smcfcs updated to version 2.0.2 with previous version 2.0.1 dated 2025-07-17

Title: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Description: Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
Author: Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Edouard F. Bonneville [aut], Lars van der Burg [aut], Claus Thorn Ekstroem [ctb]
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>

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Package secretbase updated to version 1.2.2 with previous version 1.2.1 dated 2026-03-30

Title: Cryptographic Hash Functions and Data Encoding
Description: Fast and memory-efficient streaming hash functions, binary/text encoding and serialization. Hashes strings and raw vectors directly. Stream hashes files which can be larger than memory, as well as in-memory objects through R's serialization mechanism. Implements the SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256 extendable-output function (XOF), 'SipHash' pseudo-random function, base64 and base58 encoding, 'CBOR' and 'JSON' serialization.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], The Mbed TLS Contributors [cph] , Red Hat, Inc. [cph] , Luke Dashjr [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package midr updated to version 0.6.1 with previous version 0.6.0 dated 2026-03-08

Title: Learning from Black-Box Models by Maximum Interpretation Decomposition
Description: The goal of 'midr' is to provide a model-agnostic method for interpreting and explaining black-box predictive models by creating a globally interpretable surrogate model. The package implements 'Maximum Interpretation Decomposition' (MID), a functional decomposition technique that finds an optimal additive approximation of the original model. This approximation is achieved by minimizing the squared error between the predictions of the black-box model and the surrogate model. The theoretical foundations of MID are described in Iwasawa & Matsumori (2025) [Forthcoming], and the package itself is detailed in Asashiba et al. (2025) <doi:10.48550/arXiv.2506.08338>.
Author: Ryoichi Asashiba [aut, cre] , Hirokazu Iwasawa [aut], Reiji Kozuma [ctb]
Maintainer: Ryoichi Asashiba <ryoichi.asashiba@gmail.com>

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More information about midr at CRAN
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Package inlabru updated to version 2.14.1 with previous version 2.14.0 dated 2026-03-08

Title: Bayesian Latent Gaussian Modelling using INLA and Extensions
Description: Facilitates spatial and general latent Gaussian modeling using integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>). Additionally, extends the GAM-like model class to more general nonlinear predictor expressions, and implements a log Gaussian Cox process likelihood for modeling univariate and spatial point processes based on ecological survey data. Model components are specified with general inputs and mapping methods to the latent variables, and the predictors are specified via general R expressions, with separate expressions for each observation likelihood model in multi-likelihood models. A prediction method based on fast Monte Carlo sampling allows posterior prediction of general expressions of the latent variables. Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019) <doi:10.1111/2041-210X.13168>.
Author: Finn Lindgren [aut, cre, cph] , Fabian E. Bachl [aut, cph] , David L. Borchers [ctb, dtc, cph] , Daniel Simpson [ctb, cph] , Lindesay Scott-Howard [ctb, dtc, cph] , Seaton Andy [ctb] , Suen Man Ho [ctb, cph] , Roudier Pierre [ctb, cph] , Meehan Tim [ [...truncated...]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

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Package hydroGOF updated to version 0.7-0 with previous version 0.6-0.1 dated 2024-11-04

Title: Goodness-of-Fit Functions for Comparison of Simulated and Observed Hydrological Time Series
Description: S3 functions implementing both statistical and graphical goodness-of-fit measures between observed and simulated values, mainly oriented to be used during the calibration, validation, and application of hydrological models. Missing values in observed and/or simulated values can be removed before computations. Comments / questions / collaboration of any kind are very welcomed.
Author: Mauricio Zambrano-Bigiarini [aut, cre, cph]
Maintainer: Mauricio Zambrano-Bigiarini <mzb.devel@gmail.com>

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Package bplsr updated to version 1.0.5 with previous version 1.0.4 dated 2025-07-10

Title: Bayesian partial least squares regression
Description: Fits the Bayesian partial least squares regression model introduced in Urbas et al. (2024) <doi:10.1214/24-AOAS1947>. Suitable for univariate and multivariate regression with high-dimensional data.
Author: Szymon Urbas [aut, cre], Pierre Lovera [ctb], Robert Daly [ctb], Alan O'Riordan [ctb], Donagh Berry [ctb], Isobel Claire Gormley [ctb]
Maintainer: Szymon Urbas <szymon.urbas@mu.ie>

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Package RastaRocket updated to version 1.1.4 with previous version 1.1.3 dated 2026-03-23

Title: Rocket-Fast Clinical Research Reporting
Description: Description of the tables, both grouped and not grouped, with some associated data management actions, such as sorting the terms of the variables and deleting terms with zero numbers.
Author: USMR CHU de Bordeaux [aut, cre], Valentine Renaudeau [aut], Marion Kret [aut], Matisse Decilap [aut], Sahardid Mohamed Houssein [aut], Thomas Ferte [aut]
Maintainer: USMR CHU de Bordeaux <astreinte.usmr@chu-bordeaux.fr>

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