Fri, 17 Jul 2026

Package bootnet updated to version 1.9.1 with previous version 1.8 dated 2026-03-19

Title: Bootstrap Methods for Various Network Estimation Routines
Description: Bootstrap methods to assess accuracy and stability of estimated network structures and centrality indices <doi:10.3758/s13428-017-0862-1>. Allows for flexible specification of any undirected network estimation procedure in R, and offers default sets for various estimation routines.
Author: Sacha Epskamp [aut, cre], Eiko I. Fried [ctb], Kai J. Nehler [ctb], Adela Maria Isvoranu [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between bootnet versions 1.8 dated 2026-03-19 and 1.9.1 dated 2026-07-17

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Package DiscreteMorseR (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:

2026-07-16 1.0.0

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Package microdiluteR (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:

2024-05-13 1.0.1

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Package SPARTAAS (with last version 1.2.6) was removed from CRAN

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

2026-07-02 1.2.6
2026-03-26 1.2.5
2024-06-27 1.2.4
2023-06-06 1.2.1
2023-05-31 1.2.0
2021-10-22 1.1.0
2021-02-22 1.0.0

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Package ahull3D (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:

2026-07-16 1.0.0

Permanent link
Package potentiomap updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-29

Title: Build Potentiometric Surfaces and Hydraulic-Gradient Arrows
Description: Prepares groundwater-level observations from measured hydraulic head or from depth-to-water and land-surface elevation, interpolates potentiometric surfaces using thin-plate splines, inverse-distance weighting, ordinary Kriging, universal Kriging, or user-supplied methods, and creates raster, contour, diagnostic, support, and hydraulic-gradient products for review and export. Functions retain method conditions and fit diagnostics, validate explicit prediction tasks, inspect model-conditional uncertainty and monitoring-network sensitivity, identify limited prediction support, and check whether scaled hydraulic-gradient arrows remain within finite raster support and end at lower modeled head. Raster processing uses methods from 'terra' (Hijmans 2025) <doi:10.32614/CRAN.package.terra>, thin-plate splines use methods from 'fields' (Nychka et al. 2021) <doi:10.5065/D6W957CT>, and geostatistical interpolation uses methods from 'gstat' (Pebesma 2004) <doi:10.1016/j.cageo.2004.0 [...truncated...]
Author: Elvin Cordero [aut, cre]
Maintainer: Elvin Cordero <elvin.cordero@seamountgeo.com>

Diff between potentiomap versions 0.1.0 dated 2026-05-29 and 0.2.0 dated 2026-07-17

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Package modelbpp updated to version 0.4.0 with previous version 0.3.0 dated 2026-05-12

Title: Model BIC Posterior Probability
Description: Fits the neighboring models of a fitted structural equation model and assesses the model uncertainty of the fitted model based on BIC posterior probabilities (BPP), using the method presented in Wu, Cheung, and Leung (2020) <doi:10.1080/00273171.2019.1574546>. See Pesigan, Cheung, Wu, Chang, and Leung (2026) <doi:10.3758/s13428-025-02921-x> for an introduction to the package.
Author: Shu Fai Cheung [aut, cre] , Huiping Wu [aut], Shing On Leung [aut] , Ivan Jacob Agaloos Pesigan [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

Diff between modelbpp versions 0.3.0 dated 2026-05-12 and 0.4.0 dated 2026-07-17

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Permanent link

Package gerefer updated to version 0.1.4 with previous version 0.1.3 dated 2025-10-27

Title: Preparer of Main Scientific References for Automatic Insertion in Academic Papers
Description: Generates a file, containing the main scientific references, prepared to be automatically inserted into an academic paper. The articles present in the list are chosen from the main references generated, by function principal_lister(), of the package 'bibliorefer'. The generated file contains the list of metadata of the principal references in 'BibTex' format. Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>. Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>. Hamid Derviş. (2019) <doi:10.5530/jscires.8.3.32>.
Author: Marcio Eustaquio [cre], Marcio Eustaquio [aut]
Maintainer: Marcio Eustaquio <marcioeustaquio@id.uff.br>

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Package vectra updated to version 0.11.3 with previous version 0.11.1 dated 2026-07-10

Title: Columnar Query Engine for Larger-than-RAM Data
Description: A minimal columnar query engine with lazy execution on datasets larger than RAM. Provides 'dplyr'-like verbs (filter(), select(), mutate(), group_by(), summarise(), joins, window functions) and common aggregations (n(), sum(), mean(), min(), max(), sd(), first(), last()) backed by a pure C11 pull-based execution engine and a custom on-disk format ('.vtr'). Reads and writes 'GeoTIFF' (including tiled and 'BigTIFF' layouts) and a tiled raster format ('.vec') with overview pyramids and time cubes for larger-than-RAM raster data. Streams vector operations (spatial transforms, point-in-polygon and nearest-feature joins including a two-sided grid-partitioned join, select-by-location, clip, erase, dissolve, 'rasterization', 'polygonization', and contouring) through 'sf', and runs raster operations (zonal statistics, focal windows, terrain derivatives, resample or 'reproject' warp, polygon masking, map algebra, and 'mosaicking') in native C or over the tiled '.vec' format, one batch or tile at [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package proximetricsR updated to version 0.6.5 with previous version 0.6.4 dated 2026-06-30

Title: Spectral Preprocessing and Chemometric Calibration of NIR Sensors
Description: Provides tools to build quantitative chemometric models and applications for near-infrared (NIR) sensors. Chemometric regression models are based on partial least squares regression as described by Wold (1975) <doi:10.1016/B978-0-12-103950-9.50017-4> and modified partial least squares regression as described by Shenk and Westerhaus (1991) <doi:10.2135/cropsci1991.0011183X003100020049x>, with further discussion by Westerhaus (2014) <doi:10.1255/nirn.1492>.
Author: Leonardo Ramirez-Lopez [aut, cre] , Claudio Orellano [aut] , Nicolae Cudlenco [aut] , Mai Said [aut] , Mohamed Abushosha [aut], Marcal Plans [aut]
Maintainer: Leonardo Ramirez-Lopez <ramirez-lopez.l@buchi.com>

Diff between proximetricsR versions 0.6.4 dated 2026-06-30 and 0.6.5 dated 2026-07-17

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Package ottr updated to version 1.6.0 with previous version 1.5.3 dated 2025-10-11

Title: An R Autograding Extension for Otter-Grader
Description: An R autograding extension for Otter-Grader (<https://otter-grader.readthedocs.io>). It supports grading R scripts, R Markdown documents, and R Jupyter Notebooks.
Author: Christopher Pyles [aut, cre] , UC Berkeley Data Science Education Program [cph]
Maintainer: Christopher Pyles <cpyles@berkeley.edu>

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Package GWASinlps updated to version 2.5 with previous version 2.4 dated 2025-10-29

Title: Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies
Description: Performs variable selection with data from Genome-wide association studies (GWAS), or other high-dimensional data with continuous, binary or survival outcomes, combining in an iterative framework the computational efficiency of the structured screen-and-select variable selection strategy based on some association learning and the parsimonious uncertainty quantification provided by the use of non-local priors (see Sanyal et al., 2019 <DOI:10.1093/bioinformatics/bty472>).
Author: Nilotpal Sanyal [aut, cre]
Maintainer: Nilotpal Sanyal <nilotpal.sanyal@gmail.com>

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Package Canek updated to version 0.3.1 with previous version 0.2.5 dated 2023-12-08

Title: Batch Correction of Single Cell Transcriptome Data
Description: Non-linear/linear hybrid method for batch-effect correction that uses Mutual Nearest Neighbors (MNNs) to identify similar cells between datasets. Reference: Loza M. et al. (NAR Genomics and Bioinformatics, 2020) <doi:10.1093/nargab/lqac022>.
Author: Martin Loza [aut, cre] , Diego Diez [aut]
Maintainer: Martin Loza <martin.loza.lopez@gmail.com>

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Package wcc updated to version 0.4.1 with previous version 0.4.0 dated 2026-07-14

Title: Windowed Cross Correlation
Description: Calculates Windowed Cross Correlation for pairs of time series. Provides support for surrogate analysis for nonparametric test of significance. Calculates aggregate statistics over a range of parameter values. Plots the results as Windowed Cross Correlation plots and heat maps. The software is described in Boker, S. M., Rotondo, J. L., Xu, M., & King, K. (2002). Windowed cross-correlation and peak picking for the analysis of variability in the association between behavioral time series. Psychological Methods, 7(3), 338.
Author: Steven Boker [aut, cre], Minquan Xu [aut], Sareena Chadha [aut], Christopher Welker [aut], Jingyun Wu [aut], Pascal Deboeck [aut], Aaron Peikert [aut], Claude [aut]
Maintainer: Steven Boker <smb3u@virginia.edu>

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Package statcanR readmission to version 0.3.0 with previous version 0.2.6 dated 2023-08-17

Title: Client for Statistics Canada's Open Economic Data
Description: Provides an R client for Statistics Canada's Web Data Service. Users can describe the data they need in natural language, search the official table catalogue, and download complete data tables in English or French as data frames. Tables formerly known as CANSIM tables are identified by Product IDs. Warin (2024) <doi:10.5070/T5.1868>.
Author: Thierry Warin [aut, cre]
Maintainer: Thierry Warin <thierry.warin@hec.ca>

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Package shard updated to version 0.2.0 with previous version 0.1.1 dated 2026-04-05

Title: Deterministic, Zero-Copy Parallel Execution for R
Description: Provides a parallel execution runtime for R that emphasizes deterministic memory behavior and efficient handling of large shared inputs. 'shard' enables zero-copy parallel reads via shared/memory-mapped segments, encourages explicit output buffers to avoid large result aggregation, and supervises worker processes to mitigate memory drift via controlled recycling. Diagnostics report peak memory usage, end-of-run memory return, and hidden copy/materialization events to support reproducible performance benchmarking.
Author: Bradley Buchsbaum [aut, cre, cph]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>

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Package nn2poly updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-17

Title: Neural Network Weights Transformation into Polynomial Coefficients
Description: Implements a method that builds the coefficients of a polynomial model that performs almost equivalently as a given neural network (densely connected). This is achieved using Taylor expansion at the activation functions. The obtained polynomial coefficients can be used to explain features (and their interactions) importance in the neural network, therefore working as a tool for interpretability or eXplainable Artificial Intelligence (XAI). See Morala et al. 2021 <doi:10.1016/j.neunet.2021.04.036>, and 2023 <doi:10.1109/TNNLS.2023.3330328>.
Author: Pablo Morala [aut, cre] , Inaki Ucar [aut] , Jose Ignacio Diez [ctr]
Maintainer: Pablo Morala <moralapablo@gmail.com>

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Package dcortools updated to version 0.2.2 with previous version 0.2.1 dated 2026-07-16

Title: Providing Fast and Flexible Functions for Distance Correlation Analysis
Description: Provides methods for distance covariance and distance correlation (Szekely, et al. (2007) <doi:10.1214/009053607000000505>), generalized version thereof (Sejdinovic, et al. (2013) <doi:10.1214/13-AOS1140>) and corresponding tests (Berschneider, Bottcher (2018) <doi:10.48550/arXiv.1808.07280>. Distance standard deviation methods (Edelmann, et al. (2020) <doi:10.1214/19-AOS1935>) and distance correlation methods for survival endpoints (Edelmann, et al. (2021) <doi:10.1111/biom.13470>) are also included.
Author: Dominic Edelmann [aut, cre], Jochen Fiedler [aut]
Maintainer: Dominic Edelmann <dominic.edelmann@dkfz-heidelberg.de>

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Package BayesFBHborrow updated to version 2.0.14 with previous version 2.0.12 dated 2026-07-17

Title: Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function
Description: Allows Bayesian borrowing from a historical dataset for time-to- event data. A flexible baseline hazard function is achieved via a piecewise exponential likelihood with time varying split points and smoothing prior on the historic baseline hazards. The method is described in Scott and Lewin (2026) <doi:10.1093/biostatistics/kxag006>, and a paper focused on the software is in Scott, Axillus, Lewin and Izmirlian (2026) <doi:10.48550/arXiv.2408.04327>.
Author: Darren Scott [aut], Sophia Axillus [aut], Grant Izmirlian [aut, cre]
Maintainer: Grant Izmirlian <grant.izmirlian@astrazeneca.com>

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Package qtl2convert updated to version 0.36 with previous version 0.34 dated 2026-06-09

Title: Convert Data among QTL Mapping Packages
Description: Functions to convert data structures among the 'qtl2', 'qtl', and 'DOQTL' packages for mapping quantitative trait loci (QTL).
Author: Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package diffobj updated to version 0.3.8 with previous version 0.3.6 dated 2025-04-21

Title: Diffs for R Objects
Description: Generate a colorized diff of two R objects for an intuitive visualization of their differences.
Author: Brodie Gaslam [aut, cre], Michael B. Allen [ctb, cph]
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Package npANCOVA updated to version 0.2.0 with previous version 0.1.1 dated 2025-12-20

Title: Nonparametric ANCOVA Methods
Description: Nonparametric methods for analysis of covariance (ANCOVA) are distribution-free and provide a flexible statistical framework for situations where the assumptions of parametric ANCOVA are violated or when the response variable is ordinal. This package implements several well-known nonparametric ANCOVA procedures, including Quade, Puri and Sen, McSweeney and Porter, Burnett and Barr, Hettmansperger and McKean, Shirley, and Puri-Sen-Harwell-Serlin. The package provides user-friendly functions to apply these methods in practice. These methods are described in Olejnik et al. (1985) <doi:10.1177/0193841X8500900104> and Harwell et al. (1988) <doi:10.1037/0033-2909.104.2.268>.
Author: Mina Jahangiri [aut, cre] , Ali Taghavi Rad [aut] , Anoshirvan Kazemnejad [aut] , Keith Goldfeld [ctb] , Shayan Mostafaei [ctb]
Maintainer: Mina Jahangiri <minajahangiri984@gmail.com>

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Package seacarb updated to version 3.4.0 with previous version 3.3.4 dated 2026-04-17

Title: Seawater Carbonate Chemistry
Description: Calculates parameters of the seawater carbonate system and assists in design of ocean acidification perturbation experiments.
Author: James Orr [aut, cre, cph], Jean-Pierre Gattuso [aut], Jean-Marie Epitalon [aut], Heloise Lavigne [aut], Bernard Gentili [ctb], Mathilde Hagens [ctb], Andreas Hofmann [ctb], Jens-Daniel Mueller [ctb], Aurelien Proye [ctb], James Rae [ctb], Karline Soe [...truncated...]
Maintainer: James Orr <james.orr@lsce.ipsl.fr>

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Package graphicalVAR updated to version 0.4.1 with previous version 0.3.4 dated 2024-02-20

Title: Graphical VAR for Experience Sampling Data
Description: Estimates within and between time point interactions in experience sampling data, using the Graphical vector autoregression model in combination with regularization. See also Epskamp, Waldorp, Mottus & Borsboom (2018) <doi:10.1080/00273171.2018.1454823>.
Author: Sacha Epskamp [aut, cre], Eren Asena [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package semPlot updated to version 1.2.0 with previous version 1.1.8 dated 2026-02-11

Title: Path Diagrams and Visual Analysis of Various SEM Packages' Output
Description: Path diagrams and visual analysis of various SEM packages' output.
Author: Sacha Epskamp [aut, cre], Simon Stuber [ctb], Jason Nak [ctb], Myrthe Veenman [ctb], Terrence D. Jorgensen [ctb] , Adela Maria Isvoranu [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package rxode2ll updated to version 2.0.15 with previous version 2.0.14 dated 2026-02-24

Title: Log-Likelihood Functions for 'rxode2'
Description: Provides the log-likelihoods with gradients from 'stan' (Carpenter et al (2015), <doi:10.48550/arXiv.1509.07164>) needed for generalized log-likelihood estimation in 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). This is split of to reduce computational burden of recompiling 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) which runs the 'nlmixr2' models during estimation.
Author: Matthew L. Fidler [aut, cre]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

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Package nat.templatebrains updated to version 1.2.3 with previous version 1.2.1 dated 2025-08-18

Title: NeuroAnatomy Toolbox ('nat') Extension for Handling Template Brains
Description: Extends package 'nat' (NeuroAnatomy Toolbox) by providing objects and functions for handling template brains.
Author: Gregory Jefferis [aut, cre] , James Manton [aut]
Maintainer: Gregory Jefferis <jefferis@gmail.com>

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Package imdR updated to version 0.4.0 with previous version 0.1.1 dated 2026-06-23

Title: Download, Process and Visualize IMD Gridded Meteorological Data
Description: Interface to India Meteorological Department (IMD) gridded daily rainfall (0.25 degree, 1901-present) and temperature (1.0 degree, 1951-present) binary data. Provides functions to download, read, extract by point or boundary, compute climate indices, perform trend analysis, and produce publication-quality maps with Survey of India approved boundaries.
Author: Subhradip Bhattacharjee [aut, cre], Amitava Panja [aut], Ankita Chakraborty [aut], Basavareddy [aut]
Maintainer: Subhradip Bhattacharjee <subhradip25@gmail.com>

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Package remstimate updated to version 3.1.0 with previous version 3.0.0 dated 2026-05-13

Title: Optimization Frameworks for Tie-Oriented and Actor-Oriented Relational Event Models
Description: Tools for fitting, diagnosing, and analyzing tie-oriented and actor-oriented relational event models, under both frequentist and Bayesian approaches. The package supports tie-oriented modeling (Butts, 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) and an actor-oriented modeling framework (Stadtfeld et al., 2017, <doi:10.15195/v4.a14>), with additional model diagnostics and goodness-of-fit tools. Interfaces to estimation backends provide a range of extensions: random-effects (frailty) relational event models capturing sender, receiver, and dyadic heterogeneity (Juozaitiene & Wit 2024, <doi:10.1007/s11336-024-09952-x>; Mulder & Hoff, 2024, <doi:10.1214/24-AOAS1885>), finite mixture and dyadic latent class models for unobserved dyadic heterogeneity (Lakdawala et al., 2026, <doi:10.1016/j.socnet.2026.06.006>), penalized estimation via the lasso, ridge, and elastic net (Tibshirani, R., 1996, <doi:10.1111/j.2517-6161.1996.tb02080.x>; Karimova et al. [...truncated...]
Author: Giuseppe Arena [aut, cre] , Joris Mulder [aut], Rumana Lakdawala [aut], Fabio Generoso Vieira [aut], Marlyne Meijerink-Bosman [ctb], Diana Karimova [ctb], Mahdi Shafiee Kamalabad [ctb], Roger Leenders [ctb]
Maintainer: Giuseppe Arena <g.arena@uva.nl>

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Package bnlearn updated to version 5.2.1 with previous version 5.2 dated 2026-07-13

Title: Bayesian Network Structure Learning, Parameter Learning and Inference
Description: Bayesian network structure learning, parameter learning and inference. This package implements constraint-based (PC, GS, IAMB, Inter-IAMB, MMPC, Hiton-PC, HPC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing, Tabu Search, DirectLiNGAM) and hybrid (MMHC, RSMAX2, H2PC) structure learning algorithms for discrete, Gaussian, conditional Gaussian and zero-inflated networks, along with many score functions and conditional independence tests. The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented. Some utility functions (model comparison and manipulation, random data generation, arc orientation testing, simple and advanced plots) are included, as well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries, interventions, counterfactuals, cross-validation, bootstrap and model averaging. Development snapshots with the latest bugfixes are available from <https://www.bnlearn.com/>.
Author: Marco Scutari [aut, cre], Tomi Silander [ctb]
Maintainer: Marco Scutari <scutari@bnlearn.com>

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Package testflow updated to version 0.9.0 with previous version 0.8.2 dated 2026-07-02

Title: A Workflow for Statistical Testing, Interpretation, and 'ggplot2'-Based Visualization
Description: Provides a unified workflow for choosing, running, interpreting, and visualizing common statistical tests, from group comparisons and analysis of variance to regression, survival analysis, and diagnostic and agreement statistics. The package combines assumption checks, test selection, effect sizes, formatted results, plain-language interpretation, 'ggplot2'-based statistical visualizations, and a sample-size planning module covering continuous, binary, survival, ordinal, bioequivalence, and precision-based designs. Implemented methods follow standard references including Casella and Berger (2002, ISBN:9780534243128), Hollander et al. (2013, ISBN:9781118553299), Agresti (2013, ISBN:9780470463635), Cohen (1988, ISBN:9780805802832), Hosmer, Lemeshow and Sturdivant (2013, ISBN:9780470582473), and Julious (2010, ISBN:9781584887393).
Author: Imad EL BADISY [aut, cre]
Maintainer: Imad EL BADISY <elbadisyimad@gmail.com>

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Package sshist updated to version 0.2.4 with previous version 0.2.3 dated 2026-07-15

Title: Optimal Density Estimation via Shimazaki-Shinomoto Method
Description: Implements the Shimazaki-Shinomoto method for optimizing the bin width of histograms and the bandwidth of kernel density estimators. The framework minimizes the expected Mean Integrated Squared Error (MISE) and supports both 1D and 2D distributions, fixed and locally adaptive estimators, bootstrap confidence intervals, and 'OpenMP'-accelerated 'C++' 'backends'. Ideally suited for time-dependent rate estimation and identifying intrinsic data structures. For more details see Shimazaki and Shinomoto (2007) <doi:10.1162/neco.2007.19.6.1503> and Shimazaki and Shinomoto (2010) <doi:10.1007/s10827-009-0180-4>.
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>

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Package rjd3production updated to version 1.1.1 with previous version 1.1.0 dated 2026-04-21

Title: Prepare for Production of Seasonal Adjustment with 'JDemetra+'
Description: A comprehensive tool for setting up seasonal data pipelines using 'JDemetra+' (version 3) and 'rjdverse'. This includes setting up a new working environment, creating and selecting calendar regressors, managing specifications (trading-days regressors and outliers) at the workspace level, making a workspace usable by the 'cruncher', removing insignificant outliers, and comparing workspaces.
Author: Tanguy Barthelemy [aut, cre, art]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>

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Package partykit updated to version 1.2-29 with previous version 1.2-28 dated 2026-07-12

Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
Author: Torsten Hothorn [aut, cre] , Heidi Seibold [ctb] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package codez updated to version 2.0.0 with previous version 1.0.0 dated 2022-09-23

Title: Torch Seq2Seq Encoder-Decoder Model for Time-Feature Analysis
Description: Proposes Seq2seq Time-Feature Analysis using a torch Encoder-Decoder to project into latent space and a Forward Network to predict the next sequence, with dependency-light local support functions, tidy outputs and baseline backtesting helpers.
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

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Package BayesFBHborrow updated to version 2.0.12 with previous version 2.0.10 dated 2026-06-25

Title: Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function
Description: Allows Bayesian borrowing from a historical dataset for time-to- event data. A flexible baseline hazard function is achieved via a piecewise exponential likelihood with time varying split points and smoothing prior on the historic baseline hazards. The method is described in Scott and Lewin (2026) <doi:10.1093/biostatistics/kxag006>, and a paper focused on the software is in Scott, Axillus, Lewin and Izmirlian (2026) <doi:10.48550/arXiv.2408.04327>.
Author: Darren Scott [aut], Sophia Axillus [aut], Grant Izmirlian [aut, cre]
Maintainer: Grant Izmirlian <grant.izmirlian@astrazeneca.com>

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New package stargazer2 with initial version 0.1.0
Package: stargazer2
Title: Beautiful Regression Tables for Modern Econometrics Packages
Version: 0.1.0
Date: 2026-06-30
Description: Produces publication-quality LaTeX, ASCII, and HTML regression tables. Designed as a drop-in replacement for the 'stargazer' package for 'lm' and 'glm' models, with added native support for 'fixest', 'plm', and 'alpaca' objects including automatic fixed-effect and random-effect indicator rows and SE-type detection. Standard errors can be supplied as variance-covariance matrices, numeric vectors, or auto-extracted from supported model objects. Follows the interface of Hlavac (2022) <https://CRAN.R-project.org/package=stargazer>.
License: GPL-3
Encoding: UTF-8
Imports: stats
Suggests: fixest (>= 0.11.0), alpaca, plm, sandwich, wooldridge, stargazer, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-09 12:50:53 UTC; tzylkin
Author: Tom Zylkin [aut, cre]
Maintainer: Tom Zylkin <tzylkin@richmond.edu>
Repository: CRAN
Date/Publication: 2026-07-17 14:20:02 UTC

More information about stargazer2 at CRAN
Permanent link

Package sdbuildR updated to version 2.2.2 with previous version 2.0.0 dated 2026-06-16

Title: An Accessible Interface for Stock-and-Flow Modelling
Description: Stock-and-flow models are a computational method from the field of system dynamics. They represent how systems change over time and are mathematically equivalent to ordinary differential equations. 'sdbuildR' (system dynamics builder) provides an intuitive interface for constructing stock-and-flow models without requiring extensive domain knowledge. Models can quickly be simulated and revised, supporting iterative development. 'sdbuildR' simulates models in 'R' and 'Julia', and supports computationally intensive ensemble simulations. Additionally, 'sdbuildR' can import models created in 'Insight Maker' (<https://insightmaker.com/>).
Author: Kyra Caitlin Evers [aut, cre, cph] , STIX Fonts Project Authors [ctb, cph] , SIL Open Font License 1.1)
Maintainer: Kyra Caitlin Evers <kyra.c.evers@gmail.com>

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 sdbuildR-2.2.2/sdbuildR/NAMESPACE                                                                           |    2 
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 sdbuildR-2.2.2/sdbuildR/R/import_insightmaker.R                                                             |    4 
 sdbuildR-2.2.2/sdbuildR/R/insightmaker_conv.R                                                               |    1 
 sdbuildR-2.2.2/sdbuildR/R/insightmaker_conv_eqn.R                                                           |   16 
 sdbuildR-2.2.2/sdbuildR/R/julia_conv_ast.R                                                                  |   23 
 sdbuildR-2.2.2/sdbuildR/R/julia_conv_calls.R                                                                |   13 
 sdbuildR-2.2.2/sdbuildR/R/julia_conv_fallback.R                                                             |   12 
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 sdbuildR-2.2.2/sdbuildR/R/utils.R                                                                           |  208 
 sdbuildR-2.2.2/sdbuildR/R/verify.R                                                                          |   37 
 sdbuildR-2.2.2/sdbuildR/R/zzz.R                                                                             |    2 
 sdbuildR-2.2.2/sdbuildR/README.md                                                                           |   97 
 sdbuildR-2.2.2/sdbuildR/inst/CITATION                                                                       |   41 
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 sdbuildR-2.2.2/sdbuildR/man/as.data.frame.verify_stockflow.Rd                                               |   11 
 sdbuildR-2.2.2/sdbuildR/man/change_name.Rd                                                                  |    2 
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 sdbuildR-2.2.2/sdbuildR/man/head.verify_stockflow.Rd                                                        |    2 
 sdbuildR-2.2.2/sdbuildR/man/import_desolve.Rd                                                               |    2 
 sdbuildR-2.2.2/sdbuildR/man/import_insightmaker.Rd                                                          |    2 
 sdbuildR-2.2.2/sdbuildR/man/install_julia_env.Rd                                                            |    8 
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 sdbuildR-2.2.2/sdbuildR/man/meta.Rd                                                                         |    4 
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 sdbuildR-2.2.2/sdbuildR/man/print.simulate_stockflow.Rd                                                     |    2 
 sdbuildR-2.2.2/sdbuildR/man/print.stockflow.Rd                                                              |    2 
 sdbuildR-2.2.2/sdbuildR/man/ramp.Rd                                                                         |    2 
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 sdbuildR-2.2.2/sdbuildR/man/simulate.stockflow.Rd                                                           |    6 
 sdbuildR-2.2.2/sdbuildR/man/stockflow.Rd                                                                    |   48 
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More information about sdbuildR at CRAN
Permanent link

Package oosse updated to version 1.0.12 with previous version 1.0.11 dated 2024-02-07

Title: Out-of-Sample R² with Standard Error Estimation
Description: Estimates out-of-sample R² through bootstrap or cross-validation as a measure of predictive performance. In addition, a standard error for this point estimate is provided, and confidence intervals are constructed.
Author: Stijn Hawinkel [cre, aut]
Maintainer: Stijn Hawinkel <stijn.hawinkel@psb.ugent.be>

Diff between oosse versions 1.0.11 dated 2024-02-07 and 1.0.12 dated 2026-07-17

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New package hood2net with initial version 1.0.0
Package: hood2net
Title: Create a Language Network from Neighborhoods of Words
Version: 1.0.0
Description: Input a list of words and/or their phonological transcriptions and this package creates a language network based on their neighborhood structure. First, the phonological/orthographic neighbors for each item in the list are identified based on various definitions of a neighbor (e.g., edit-distance (substitution, deletion, or addition), substitution-only; distance size (1-edit or more); based on single characters or segments indicated by separators) and summarizes this information in an 'igraph' network object for subsequent analyses. For more details see Luce & Pisoni (1998) <doi:10.1097/00003446-199802000-00001> and Vitevitch (2008) <doi:10.1044/1092-4388(2008/030)>. Helper functions for extracting network metrics, neighbors, and other information from the language network are provided. This package is intended for psycholinguists interested in modeling language networks and word neighborhoods in various languages.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: igraph, Rcpp, stringdist
Depends: R (>= 4.1.0)
LazyData: true
LinkingTo: Rcpp
NeedsCompilation: yes
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://csqsiew.github.io/hood2net/
Packaged: 2026-07-09 07:24:39 UTC; cynthia
Author: Cynthia Siew [aut, cre, cph]
Maintainer: Cynthia Siew <cynthia.siew@mailfence.com>
Repository: CRAN
Date/Publication: 2026-07-17 14:10:07 UTC

More information about hood2net at CRAN
Permanent link

New package flexstanr with initial version 0.1.0
Package: flexstanr
Title: Portable Backend Layer for 'Stan' Models
Version: 0.1.0
Description: Gives a 'Stan'-based R package one interface for fitting its models through either 'rstan' or (optionally) 'cmdstanr'. Collects and validates sampler options, guarding against mixing one backend's argument vocabulary into the other, dispatches the fit to the chosen backend, and exposes backend-agnostic accessors for reading posterior draws, extracting parameters, and running generated quantities. The host package supplies its own compiled models; flexstanr resolves them from the calling package at run time, so the same code works whichever backend is installed.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: methods, rstan (>= 2.18.1), tools
Suggests: cmdstanr, desc, knitr, posterior, rmarkdown, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Additional_repositories: https://stan-dev.r-universe.dev
URL: https://accidda.github.io/flexstanr/, https://github.com/ACCIDDA/flexstanr
BugReports: https://github.com/ACCIDDA/flexstanr/issues
NeedsCompilation: no
Packaged: 2026-07-09 14:03:27 UTC; runner
Author: Carl Pearson [aut, cre] , Weston Voglesonger [aut]
Maintainer: Carl Pearson <carl.ab.pearson@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-17 14:20:08 UTC

More information about flexstanr at CRAN
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Package eyetools updated to version 0.10.0 with previous version 0.9.2 dated 2025-06-18

Title: Analyse Eye Data
Description: Enables the automation of actions across the pipeline, including initial steps of transforming binocular data and gap repair to event-based processing such as fixations, saccades, and entry/duration in Areas of Interest (AOIs). It also offers visualisation of eye movement and AOI entries. These tools take relatively raw (trial, time, x, and y form) data and can be used to return fixations, saccades, and AOI entries and time spent in AOIs. As the tools rely on this basic data format, the functions can work with data from any eye tracking device. Implements fixation and saccade detection using methods proposed by Salvucci and Goldberg (2000) <doi:10.1145/355017.355028>.
Author: Tom Beesley [aut, cre], Matthew Ivory [aut]
Maintainer: Tom Beesley <t.beesley@lancaster.ac.uk>

Diff between eyetools versions 0.9.2 dated 2025-06-18 and 0.10.0 dated 2026-07-17

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More information about eyetools at CRAN
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Package chevron updated to version 0.2.13 with previous version 0.2.12 dated 2025-06-20

Title: Standard TLGs for Clinical Trials Reporting
Description: Provide standard tables, listings, and graphs (TLGs) libraries used in clinical trials. This package implements a structure to reformat the data with 'dunlin', create reporting tables using 'rtables' and 'tern' with standardized input arguments to enable quick generation of standard outputs. In addition, it also provides comprehensive data checks and script generation functionality.
Author: Liming Li [aut] , Benoit Falquet [aut] , Xiaoli Duan [aut], Adrian Waddell [ctb], Chenkai Lv [ctb], Pawel Rucki [ctb], Tim Barnett [ctb], Tian Fang [ctb], Joe Zhu [cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between chevron versions 0.2.12 dated 2025-06-20 and 0.2.13 dated 2026-07-17

 chevron-0.2.12/chevron/tests/testthat/_snaps/mng01/mng01-with-default-value.new.svg                |only
 chevron-0.2.13/chevron/DESCRIPTION                                                                 |   24 
 chevron-0.2.13/chevron/MD5                                                                         |  615 
 chevron-0.2.13/chevron/NAMESPACE                                                                   |  588 
 chevron-0.2.13/chevron/NEWS.md                                                                     |  300 
 chevron-0.2.13/chevron/R/ael01_nollt.R                                                             |  120 
 chevron-0.2.13/chevron/R/ael02.R                                                                   |  142 
 chevron-0.2.13/chevron/R/ael03.R                                                                   |  162 
 chevron-0.2.13/chevron/R/aet01.R                                                                   |  408 
 chevron-0.2.13/chevron/R/aet01_aesi.R                                                              |  502 
 chevron-0.2.13/chevron/R/aet02.R                                                                   |  254 
 chevron-0.2.13/chevron/R/aet03.R                                                                   |  318 
 chevron-0.2.13/chevron/R/aet04.R                                                                   |  366 
 chevron-0.2.13/chevron/R/aet05.R                                                                   |  286 
 chevron-0.2.13/chevron/R/aet05_all.R                                                               |   94 
 chevron-0.2.13/chevron/R/aet10.R                                                                   |  242 
 chevron-0.2.13/chevron/R/assertions.R                                                              |  418 
 chevron-0.2.13/chevron/R/cfbt01.R                                                                  |  462 
 chevron-0.2.13/chevron/R/checks.R                                                                  |   90 
 chevron-0.2.13/chevron/R/chevron_tlg-S4class.R                                                     |  490 
 chevron-0.2.13/chevron/R/chevron_tlg-S4methods.R                                                   |  976 
 chevron-0.2.13/chevron/R/cml02a_gl.R                                                               |  104 
 chevron-0.2.13/chevron/R/cmt01a.R                                                                  |  298 
 chevron-0.2.13/chevron/R/cmt02_pt.R                                                                |   94 
 chevron-0.2.13/chevron/R/coxt01.R                                                                  |  318 
 chevron-0.2.13/chevron/R/coxt02.R                                                                  |   70 
 chevron-0.2.13/chevron/R/data.R                                                                    |   66 
 chevron-0.2.13/chevron/R/dmt01.R                                                                   |  272 
 chevron-0.2.13/chevron/R/dst01.R                                                                   |  406 
 chevron-0.2.13/chevron/R/dtht01.R                                                                  |  410 
 chevron-0.2.13/chevron/R/dummy_template.R                                                          |   20 
 chevron-0.2.13/chevron/R/egt01.R                                                                   |   80 
 chevron-0.2.13/chevron/R/egt02.R                                                                   |  286 
 chevron-0.2.13/chevron/R/egt03.R                                                                   |  362 
 chevron-0.2.13/chevron/R/egt05_qtcat.R                                                             |  362 
 chevron-0.2.13/chevron/R/ext01.R                                                                   |  458 
 chevron-0.2.13/chevron/R/fstg01.R                                                                  |  248 
 chevron-0.2.13/chevron/R/fstg02.R                                                                  |  252 
 chevron-0.2.13/chevron/R/gen_args.R                                                                |   74 
 chevron-0.2.13/chevron/R/kmg01.R                                                                   |  200 
 chevron-0.2.13/chevron/R/lbt01.R                                                                   |  224 
 chevron-0.2.13/chevron/R/lbt04.R                                                                   |  368 
 chevron-0.2.13/chevron/R/lbt05.R                                                                   |  504 
 chevron-0.2.13/chevron/R/lbt06.R                                                                   |  324 
 chevron-0.2.13/chevron/R/lbt07.R                                                                   |  374 
 chevron-0.2.13/chevron/R/lbt14.R                                                                   |  314 
 chevron-0.2.13/chevron/R/lbt15.R                                                                   |   94 
 chevron-0.2.13/chevron/R/mht01.R                                                                   |  278 
 chevron-0.2.13/chevron/R/mng01.R                                                                   |  436 
 chevron-0.2.13/chevron/R/package.R                                                                 |   52 
 chevron-0.2.13/chevron/R/pdt01.R                                                                   |  306 
 chevron-0.2.13/chevron/R/pdt02.R                                                                   |  322 
 chevron-0.2.13/chevron/R/reexports.R                                                               |   12 
 chevron-0.2.13/chevron/R/report_null.R                                                             |  180 
 chevron-0.2.13/chevron/R/rmpt01.R                                                                  |  302 
 chevron-0.2.13/chevron/R/rmpt03.R                                                                  |   98 
 chevron-0.2.13/chevron/R/rmpt04.R                                                                  |   90 
 chevron-0.2.13/chevron/R/rmpt05.R                                                                  |   90 
 chevron-0.2.13/chevron/R/rmpt06.R                                                                  |  454 
 chevron-0.2.13/chevron/R/rspt01.R                                                                  |  374 
 chevron-0.2.13/chevron/R/rtables_utils.R                                                           | 1234 -
 chevron-0.2.13/chevron/R/standard_rules.R                                                          |  124 
 chevron-0.2.13/chevron/R/ttet01.R                                                                  |  472 
 chevron-0.2.13/chevron/R/unwrap.R                                                                  |  144 
 chevron-0.2.13/chevron/R/utils.R                                                                   | 1022 
 chevron-0.2.13/chevron/R/vst01.R                                                                   |  100 
 chevron-0.2.13/chevron/R/vst02.R                                                                   |  306 
 chevron-0.2.13/chevron/R/zzz.R                                                                     |    6 
 chevron-0.2.13/chevron/README.md                                                                   |  292 
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 chevron-0.2.13/chevron/inst/WORDLIST                                                               |   60 
 chevron-0.2.13/chevron/inst/doc/chevron.R                                                          |   72 
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 chevron-0.2.13/chevron/man/ael02.Rd                                                                |  123 
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 chevron-0.2.13/chevron/man/aet01_aesi.Rd                                                           |  197 
 chevron-0.2.13/chevron/man/aet01_aesi_lyt.Rd                                                       |   44 
 chevron-0.2.13/chevron/man/aet01_lyt.Rd                                                            |   52 
 chevron-0.2.13/chevron/man/aet02.Rd                                                                |  181 
 chevron-0.2.13/chevron/man/aet03.Rd                                                                |  141 
 chevron-0.2.13/chevron/man/aet03_lyt.Rd                                                            |   52 
 chevron-0.2.13/chevron/man/aet04.Rd                                                                |  171 
 chevron-0.2.13/chevron/man/aet04_lyt.Rd                                                            |   70 
 chevron-0.2.13/chevron/man/aet05.Rd                                                                |  175 
 chevron-0.2.13/chevron/man/aet05_all.Rd                                                            |   85 
 chevron-0.2.13/chevron/man/aet05_lyt.Rd                                                            |   58 
 chevron-0.2.13/chevron/man/aet10.Rd                                                                |  143 
 chevron-0.2.13/chevron/man/aet10_lyt.Rd                                                            |   44 
 chevron-0.2.13/chevron/man/afun_p.Rd                                                               |   98 
 chevron-0.2.13/chevron/man/afun_skip.Rd                                                            |  110 
 chevron-0.2.13/chevron/man/args_ls.Rd                                                              |   58 
 chevron-0.2.13/chevron/man/assert_single_value.Rd                                                  |   38 
 chevron-0.2.13/chevron/man/assert_valid_type.Rd                                                    |   42 
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 chevron-0.2.13/chevron/man/assert_valid_variable.Rd                                                |   64 
 chevron-0.2.13/chevron/man/cfbt01.Rd                                                               |  225 
 chevron-0.2.13/chevron/man/cfbt01_lyt.Rd                                                           |  122 
 chevron-0.2.13/chevron/man/check_all_colnames.Rd                                                   |   48 
 chevron-0.2.13/chevron/man/check_one_colnames.Rd                                                   |   48 
 chevron-0.2.13/chevron/man/chevron-package.Rd                                                      |   82 
 chevron-0.2.13/chevron/man/chevron_tlg-class.Rd                                                    |  248 
 chevron-0.2.13/chevron/man/cml02a_gl.Rd                                                            |  131 
 chevron-0.2.13/chevron/man/cmt01a.Rd                                                               |  221 
 chevron-0.2.13/chevron/man/cmt02_pt.Rd                                                             |  195 
 chevron-0.2.13/chevron/man/convert_to_month.Rd                                                     |   38 
 chevron-0.2.13/chevron/man/count_children.Rd                                                       |   24 
 chevron-0.2.13/chevron/man/count_or_summarize.Rd                                                   |   42 
 chevron-0.2.13/chevron/man/count_patients_recursive.Rd                                             |   42 
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 chevron-0.2.13/chevron/man/coxt01_lyt.Rd                                                           |   48 
 chevron-0.2.13/chevron/man/coxt02.Rd                                                               |  171 
 chevron-0.2.13/chevron/man/create_id_listings.Rd                                                   |   48 
 chevron-0.2.13/chevron/man/ctcv4_dir.Rd                                                            |   32 
 chevron-0.2.13/chevron/man/ctcv5_dir.Rd                                                            |   32 
 chevron-0.2.13/chevron/man/dataset.Rd                                                              |   56 
 chevron-0.2.13/chevron/man/deparse_print.Rd                                                        |   24 
 chevron-0.2.13/chevron/man/dmt01.Rd                                                                |  181 
 chevron-0.2.13/chevron/man/dmt01_lyt.Rd                                                            |   58 
 chevron-0.2.13/chevron/man/do_call.Rd                                                              |   24 
 chevron-0.2.13/chevron/man/dose_change_rule.Rd                                                     |   27 
 chevron-0.2.13/chevron/man/dst01.Rd                                                                |  195 
 chevron-0.2.13/chevron/man/dst01_lyt.Rd                                                            |   56 
 chevron-0.2.13/chevron/man/dtht01.Rd                                                               |  163 
 chevron-0.2.13/chevron/man/dtht01_lyt.Rd                                                           |   76 
 chevron-0.2.13/chevron/man/dummy_template.Rd                                                       |   33 
 chevron-0.2.13/chevron/man/egt01.Rd                                                                |  187 
 chevron-0.2.13/chevron/man/egt02_1.Rd                                                              |  147 
 chevron-0.2.13/chevron/man/egt02_2.Rd                                                              |  123 
 chevron-0.2.13/chevron/man/egt02_lyt.Rd                                                            |   66 
 chevron-0.2.13/chevron/man/egt03.Rd                                                                |  183 
 chevron-0.2.13/chevron/man/egt03_lyt.Rd                                                            |   76 
 chevron-0.2.13/chevron/man/egt05_qtcat.Rd                                                          |  187 
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 chevron-0.2.13/chevron/tests/testthat/test-reexports.R                                             |   34 
 chevron-0.2.13/chevron/tests/testthat/test-report_null.R                                           |   80 
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 chevron-0.2.13/chevron/tests/testthat/test-utils.R                                                 |  702 
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 chevron-0.2.13/chevron/vignettes/chevron.Rmd                                                       |  278 
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New package UniCensor with initial version 0.1.0
Package: UniCensor
Title: Reproducible Random Samples Under Univariate Censoring Schemes
Version: 0.1.0
Description: Generates reproducible random samples from any user-specified univariate distribution under a comprehensive suite of censoring and truncation schemes. Users supply the probability density function (PDF), cumulative distribution function (CDF), survival function, support bounds, and parameters; the same seed and inputs yield identical samples across sessions. Supported schemes include right and left truncation, random, right, left, interval, and middle censoring, block random censoring, balanced joint progressive Type-II (BJPT-II), progressive first failure, joint Type-I, Type-I, Type-II, progressive Type-II, Type-II progressively hybrid, joint Type-II, hybrid, hybrid Type-I, doubly Type-II, Type-I hybrid, and hybrid Type-II censoring. Diagnostic histogram, dot plot, and autocorrelation plots are provided for each scheme to verify distributional behaviour. Methods are described in Nagar, Kumar, and Krishna (2026) <doi:10.59467/IJASS.2026.22.1>, Goel, Kumar, and Krishna (2026, "E [...truncated...]
License: GPL-3
Depends: R (>= 4.0.0)
Imports: graphics, stats
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-08 23:26:00 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-17 13:40:08 UTC

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New package riemannianStats with initial version 0.1.1
Package: riemannianStats
Title: Riemannian Statistics for Dimensionality Reduction and Visualization
Version: 0.1.1
Description: Provides tools for applying statistical methods on Riemannian manifolds using local geometry derived from Uniform Manifold Approximation and Projection (UMAP). The package enables dimensionality reduction, visualization, and analysis of complex data through Riemannian versions of principal component analysis and related multivariate methods. Methods are based on McInnes et al. (2018) <doi:10.21105/joss.00861>.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: rlang, ggplot2, ggrepel, grid, uwot
Suggests: scatterplot3d, plotly, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-07-08 16:34:20 UTC; r3291508
Author: Oldemar Rodriguez Rojas [aut, cre], Jennifer Lobo Vasquez [aut]
Maintainer: Oldemar Rodriguez Rojas <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2026-07-17 13:20:02 UTC

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New package nhanesR with initial version 0.1.5
Package: nhanesR
Title: Download, Parse, and Analyze NHANES Data with Mortality Linkage
Version: 0.1.5
Description: Provides tools for downloading and organizing National Health and Nutrition Examination Survey (NHANES) public-use data files and the National Center for Health Statistics (NCHS) Public-Use Linked Mortality Files (LMF). Supports structured local caching, codebook access, survey-aware merging, and preparation of survival analysis datasets using NHANES-National Death Index (NDI) linked mortality data (follow-up through December 31, 2019). NHANES methodology is described at <https://wwwn.cdc.gov/nchs/nhanes/Default.aspx>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0), haven (>= 2.5.0), readr (>= 2.1.0), rlang (>= 1.1.0), cli (>= 3.6.0), tools
Suggests: foreign, survey, survival, rvest, Hmisc, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://dwinsemius.github.io/nhanesR/, https://github.com/dwinsemius/nhanesR
BugReports: https://github.com/dwinsemius/nhanesR/issues
NeedsCompilation: no
Packaged: 2026-07-08 16:44:48 UTC; dwinsemius
Author: David Winsemius [aut, cre]
Maintainer: David Winsemius <dwinsemius@comcast.net>
Repository: CRAN
Date/Publication: 2026-07-17 13:10:02 UTC

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New package lingamr with initial version 0.1.2
Package: lingamr
Title: 'LiNGAM' Algorithms for Causal Discovery
Version: 0.1.2
Description: R implementation of 'LiNGAM' (Linear Non-Gaussian Acyclic Model) algorithms for causal discovery, following Shimizu et al. (2011) <https://www.jmlr.org/papers/v12/shimizu11a.html>. Based on the 'Python' implementation by Ikeuchi et al. (2023) <https://github.com/cdt15/lingam>. The 'VAR-LiNGAM' residual diagnostics are inspired by the 'VARLiNGAM' R code of Moneta et al. <https://sites.google.com/site/dorisentner/publications/VARLiNGAM>.
License: MIT + file LICENSE
URL: https://github.com/morimotoosamu/lingamr, https://morimotoosamu.github.io/lingamr/
BugReports: https://github.com/morimotoosamu/lingamr/issues
Depends: R (>= 4.1.0)
Imports: generics, grDevices, parallel, stats, utils
Suggests: DiagrammeR, ggplot2, glmnet, igraph, knitr, lavaan, mice, nortest, pcalg, rmarkdown, spelling, testthat (>= 3.0.0), tseries
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-08 17:03:11 UTC; morimoto.osamu
Author: Osamu Morimoto [aut, cre, cph], T. Ikeuchi [cph], G. Haraoka [cph], M. Ide [cph], W. Kurebayashi [cph], S. Shimizu [cph]
Maintainer: Osamu Morimoto <galactic.supermarket@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-17 13:20:07 UTC

More information about lingamr at CRAN
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Package kardl updated to version 2.0.4 with previous version 2.0.2 dated 2026-06-24

Title: Make Symmetric and Asymmetric ARDL Estimations
Description: Implements estimation procedures for Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models, which allow researchers to investigate both short- and long-run relationships in time series data under mixed orders of integration. The package supports simultaneous modeling of symmetric and asymmetric regressors, flexible treatment of short-run and long-run asymmetries, and automated equation handling. It includes several cointegration testing approaches such as the Pesaran-Shin-Smith F and t bounds tests, and narayan test. Methodological foundations are provided in Pesaran, Shin, and Smith (2001) <doi:10.1016/S0304-4076(01)00049-5> and Shin, Yu, and Greenwood-Nimmo (2014, ISBN:9780123855079).
Author: Huseyin karamelikli [aut, cre] , Huseyin Utku Demir [aut]
Maintainer: Huseyin karamelikli <hakperest@gmail.com>

Diff between kardl versions 2.0.2 dated 2026-06-24 and 2.0.4 dated 2026-07-17

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Package hubEvals updated to version 0.3.1 with previous version 0.3.0 dated 2026-06-29

Title: Tools for Scoring and Evaluating Hubverse Model Outputs
Description: Provides tools for scoring and evaluating 'hubverse' model outputs against observed data, wrapping scoring workflows from the 'scoringutils' package and bridging hubverse model output formats to 'scoringutils' forecast classes.
Author: Anna Krystalli [aut, cre] , Nicholas Reich [aut] , Evan Ray [aut], Nikos Bosse [aut] , Kimberlyn Roosa [aut], Zhian Kamvar [ctb] , Li Shandross [ctb] , Becky Sweger [ctb], Lucie Contamin [ctb], Consortium of Infectious Disease Modeling Hubs [cph]
Maintainer: Anna Krystalli <annakrystalli@googlemail.com>

Diff between hubEvals versions 0.3.0 dated 2026-06-29 and 0.3.1 dated 2026-07-17

 DESCRIPTION                                       |    6 
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More information about hubEvals at CRAN
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Package greeks updated to version 1.5.6 with previous version 1.5.3 dated 2026-05-07

Title: Sensitivities of Prices of Financial Options and Implied Volatilities
Description: Methods to calculate sensitivities of financial option prices for European, geometric and arithmetic Asian, and American options, with various payoff functions in the Black Scholes model, and in more general jump diffusion models. A shiny app to interactively plot the results is included. Furthermore, methods to compute implied volatilities are provided for a wide range of option types and custom payoff functions. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017), Options, Futures, and Other Derivatives. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2023). European and Asian Greeks for exponential Lévy processes. <doi:10.1007/s11009-023-10014-5>. For American options, the Binomial Tree Method is implemented, as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre]
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

Diff between greeks versions 1.5.3 dated 2026-05-07 and 1.5.6 dated 2026-07-17

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New package ggsketch with initial version 2.0.0
Package: ggsketch
Title: Grammar-Native Hand-Drawn Geoms for 'ggplot2'
Version: 2.0.0
Description: Provides 'ggplot2' geoms that render with a hand-drawn, sketchy aesthetic: roughened strokes, double-pass lines, and hachure, cross-hatch, zigzag, and dots fill patterns. Implemented as pure-R 'grid' grobs wrapped in 'ggproto' geoms, composable with aes(), stats, scales, and faceting. Works on every R graphics device (PDF, PNG, SVG, screen) with no browser dependency. Algorithms are reimplemented from the published 'rough.js' algorithm description (Shihn, 2020, <https://shihn.ca/posts/2020/roughjs-algorithms/>) and Wood and others (2012, <doi:10.1109/TVCG.2012.262>); see the NOTICE file in the package sources for attribution.
License: MIT + file LICENSE
URL: https://github.com/orijitghosh/ggsketch, https://orijitghosh.github.io/ggsketch/
BugReports: https://github.com/orijitghosh/ggsketch/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), ggplot2 (>= 3.5.0), grDevices, grid, rlang (>= 1.0.0), scales (>= 1.2.0), withr (>= 2.5.0)
Suggests: gganimate, gifski, hexbin, igraph, knitr, magick, MASS, patchwork, quantreg, ragg, rmarkdown, sf, svglite, systemfonts, testthat (>= 3.0.0), vdiffr (>= 1.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-09 01:21:33 UTC; ariji
Author: Arijit Ghosh [aut, cre]
Maintainer: Arijit Ghosh <arijitghosh2009@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-17 14:00:07 UTC

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New package sybilion with initial version 0.1.0
Package: sybilion
Title: Official R Client for the 'Sybilion' API
Version: 0.1.0
Description: Wrapper and generated client for the 'Sybilion' Developers Portal API (forecasts, drivers, catalog, usage). Authenticate with an API key using 'Authorization: Bearer'. See <https://sybilion.dev/docs/>.
URL: https://sybilion.dev/docs/
BugReports: https://sybilion.dev/docs/
Depends: R (>= 4.1.0)
Encoding: UTF-8
License: Apache License (>= 2)
Suggests: testthat, roxygen2
Imports: jsonlite, httr2, R6, base64enc, stringr
NeedsCompilation: no
Packaged: 2026-07-08 14:49:11 UTC; sybilion
Author: Sybilion [aut, cre, cph]
Maintainer: Sybilion <support@sybilion.com>
Repository: CRAN
Date/Publication: 2026-07-17 12:50:02 UTC

More information about sybilion at CRAN
Permanent link

Package OPCreg updated to version 4.0.2 with previous version 3.0.0 dated 2025-06-04

Title: Online Principal Component Regression for Online Datasets
Description: The online principal component regression method can process the online data set. 'OPCreg' implements the online principal component regression method, which is specifically designed to process online datasets efficiently. This method is particularly useful for handling large-scale, streaming data where traditional batch processing methods may be computationally infeasible.The philosophy of the package is described in 'Guo' (2025) <doi:10.1016/j.physa.2024.130308>.
Author: Guangbao Guo [aut, cre] , Chunjie Wei [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between OPCreg versions 3.0.0 dated 2025-06-04 and 4.0.2 dated 2026-07-17

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More information about OPCreg at CRAN
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Package MorphoRegions updated to version 0.2.0 with previous version 0.1.0 dated 2024-08-21

Title: Analysis of Regionalization Patterns in Serially Homologous Structures
Description: Computes the optimal number of regions (or subdivisions) and their position in serial structures without a priori assumptions and to visualize the results. After reducing data dimensionality with the built-in function for data ordination, regions are fitted as segmented linear regressions along the serial structure. Every region boundary position and increasing number of regions are iteratively fitted and the best model (number of regions and boundary positions) is selected with an information criterion. This package expands on the previous 'regions' package (Jones et al. (2018) <doi:10.1126/science.aar3126>) with improved computation and more fitting and plotting options.
Author: Amandine Gillet [cre, aut] , Katrina Jones [aut] , Noah Greifer [aut] , Stephanie Pierce [aut]
Maintainer: Amandine Gillet <gillet.aman@gmail.com>

Diff between MorphoRegions versions 0.1.0 dated 2024-08-21 and 0.2.0 dated 2026-07-17

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Package mmconvert updated to version 0.14 with previous version 0.12 dated 2025-05-13

Title: Mouse Map Converter
Description: Convert mouse genome positions between the build 39 physical map and the genetic map of Cox et al. (2009) <doi:10.1534/genetics.109.105486>.
Author: Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between mmconvert versions 0.12 dated 2025-05-13 and 0.14 dated 2026-07-17

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 12 files changed, 111 insertions(+), 84 deletions(-)

More information about mmconvert at CRAN
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Package g6R updated to version 0.6.5 with previous version 0.6.0 dated 2026-04-27

Title: Graph Visualisation Engine Widget for R and 'shiny' Apps
Description: Create stunning network experiences powered by the 'G6' graph visualisation engine 'JavaScript' library <https://g6.antv.antgroup.com/en>. In 'shiny' mode, modify your graph directly from the server function to dynamically interact with nodes and edges. Select your favorite layout among 20 choices. 15 behaviors are available such as interactive edge creation, collapse-expand and brush select. 17 plugins designed to improve the user experience such as a mini-map, toolbars and grid lines. Customise the look and feel of your graph with comprehensive options for nodes, edges and more.
Author: David Granjon [aut, cre], David Schoch [aut], cynkra GmbH [fnd], Bristol Myers Squibb [fnd]
Maintainer: David Granjon <dgranjon@ymail.com>

Diff between g6R versions 0.6.0 dated 2026-04-27 and 0.6.5 dated 2026-07-17

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New package ggadjustedforest with initial version 0.1.0
Package: ggadjustedforest
Title: Publication Ready Forest Plots for Estimand of Interest
Version: 0.1.0
Description: Creates publication-quality forest plots and effect-size tables that display only the unadjusted and adjusted estimates for a user-specified exposure variable of interest, hiding confounder coefficients in accordance with causal inference principles. Supports logistic, linear, Poisson, and Cox proportional hazards models, with optional cumulative-adjustment visualisation. Built on 'ggplot2' and follows the tidyverse design philosophy.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), dplyr (>= 1.1.0), rlang (>= 1.1.0), broom (>= 1.0.0), survival (>= 3.5.0), patchwork (>= 1.2.0), scales (>= 1.3.0), tibble (>= 3.2.0)
Suggests: sandwich, lmtest, testthat (>= 3.0.0), knitr, rmarkdown, finalfit
VignetteBuilder: knitr
URL: https://github.com/kriz98/gg_adjusted_forest
BugReports: https://github.com/kriz98/gg_adjusted_forest/issues
NeedsCompilation: no
Packaged: 2026-07-08 13:50:14 UTC; cvar706
Author: Chris Varghese [aut, cre]
Maintainer: Chris Varghese <chris.varghese@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2026-07-17 12:40:02 UTC

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New package dsn with initial version 0.1.0
Package: dsn
Title: Data Source Name and Description Helpers for Use with 'GDAL'
Version: 0.1.0
Description: Simple helpers for 'GDAL' data source names ('DSN'), prefix and suffix and other handling. 'GDAL' is the Geospatial Data Abstraction Library <https://gdal.org/>, not used by this package directly.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/hypertidy/dsn, https://hypertidy.github.io/dsn/
BugReports: https://github.com/hypertidy/dsn/issues
NeedsCompilation: yes
Packaged: 2026-07-08 15:39:06 UTC; mdsumner
Author: Michael Sumner [aut, cre], Matt Dowle [ctb]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-17 12:50:24 UTC

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Package cox.rvph updated to version 0.1.3 with previous version 0.1.2 dated 2026-07-08

Title: Remedy the Violation of the Proportional Hazards Assumption of Cox Regression
Description: Remedying proportional hazards assumption violations of a Cox proportional hazards model using stepwise changepoint and time-varying coefficient methods based on Cox (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x> and Grambsch and Therneau (1994) <doi:10.1093/biomet/81.3.515>.
Author: Hamin Kim [aut, cre]
Maintainer: Hamin Kim <siru9170@naver.com>

Diff between cox.rvph versions 0.1.2 dated 2026-07-08 and 0.1.3 dated 2026-07-17

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Package bbotk updated to version 1.12.0 with previous version 1.11.0 dated 2026-06-26

Title: Black-Box Optimization Toolkit
Description: Features highly configurable search spaces via the 'paradox' package and optimizes every user-defined objective function. The package includes several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). bbotk is the base package of 'mlr3tuning', 'mlr3fselect' and 'miesmuschel'.
Author: Marc Becker [cre, aut] , Jakob Richter [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Martin Binder [aut], Olaf Mersmann [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

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New package AGCA4extremes with initial version 0.1.0
Package: AGCA4extremes
Title: Anchored Geodesic Component Analysis for Extremes
Version: 0.1.0
Description: Implements anchored geodesic component analysis for multivariate extremes. The package provides Pareto and rank-Pareto marginal standardization, top-k angular extraction, anchored eigensolutions, reconstruction, diagnostics, nonparametric bootstrap tools, and plotting methods for benchmark-relative angular variation.
License: GPL-3
SystemRequirements: C++17
URL: https://github.com/a91quaini/AGCA4extremes
BugReports: https://github.com/a91quaini/AGCA4extremes/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: graphics, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-07-08 16:49:20 UTC; albertoquaini
Author: Alberto Quaini [aut, cre]
Maintainer: Alberto Quaini <alberto91quaini@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-17 13:00:02 UTC

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Package xegaPopulation updated to version 1.0.0.16 with previous version 1.0.0.12 dated 2026-02-17

Title: Genetic Population Level Functions
Description: This collection of gene representation-independent functions implements the population layer of extended evolutionary and genetic algorithms and its support for the R-package 'xega' <https://CRAN.R-project.org/package=xega>. The population layer consists of functions for initializing, logging, observing, evaluating a population of genes, as well as of computing the next population. For parallel evaluation of a population of genes 4 execution models - named Sequential, MultiCore, FutureApply, and Cluster - are provided. They are implemented by configuring the lapply() function. The execution model FutureApply can be externally configured as recommended by Bengtsson (2021) <doi:10.32614/RJ-2021-048>. Configurable acceptance rules and cooling schedules (see Kirkpatrick, S., Gelatt, C. D. J, and Vecchi, M. P. (1983) <doi:10.1126/science.220.4598.671>, and Aarts, E., and Korst, J. (1989, ISBN:0-471-92146-7) offer simulated annealing or greedy randomized approximate search [...truncated...]
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

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Package nn2poly updated to version 1.0.0 with previous version 0.1.3 dated 2025-12-12

Title: Neural Network Weights Transformation into Polynomial Coefficients
Description: Implements a method that builds the coefficients of a polynomial model that performs almost equivalently as a given neural network (densely connected). This is achieved using Taylor expansion at the activation functions. The obtained polynomial coefficients can be used to explain features (and their interactions) importance in the neural network, therefore working as a tool for interpretability or eXplainable Artificial Intelligence (XAI). See Morala et al. 2021 <doi:10.1016/j.neunet.2021.04.036>, and 2023 <doi:10.1109/TNNLS.2023.3330328>.
Author: Pablo Morala [aut, cre] , Inaki Ucar [aut] , Jose Ignacio Diez [ctr]
Maintainer: Pablo Morala <moralapablo@gmail.com>

Diff between nn2poly versions 0.1.3 dated 2025-12-12 and 1.0.0 dated 2026-07-17

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Package jenga updated to version 2.0.0 with previous version 1.3.0 dated 2022-08-18

Title: Fast Extrapolation of Time Features using K-Nearest Neighbors
Description: Fast extrapolation of univariate and multivariate time features using K-Nearest Neighbors. Version 2.0 adds approximate nearest-neighbor search, optional GPU acceleration, probabilistic forecast distributions, conformal prediction intervals, and multi-scale sequence representations. The compact set of hyper-parameters is tuned via grid or random search.
Author: Giancarlo Vercellino [aut, cre]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

Diff between jenga versions 1.3.0 dated 2022-08-18 and 2.0.0 dated 2026-07-17

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Package shinySbm updated to version 0.2.1 with previous version 0.2.0 dated 2026-01-09

Title: 'shiny' Application to Use the Stochastic Block Model
Description: A 'shiny' interface for a simpler use of the 'sbm' R package. It also contains useful functions to easily explore the 'sbm' package results. With this package you should be able to use the stochastic block model without any knowledge in R, get automatic reports and nice visuals, as well as learning the basic functions of 'sbm'.
Author: Theodore Vanrenterghem [aut], Julie Aubert [aut, cre] , Saint-Clair Chabert-Liddell [aut] , grossBM team [ctb], INRAE [cph]
Maintainer: Julie Aubert <julie.aubert@inrae.fr>

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Package minimaxApprox updated to version 0.6.0 with previous version 0.5.0 dated 2026-01-08

Title: Minimax Approximation of Functions by Polynomials and Rational Functions
Description: Implements minimax approximation of functions via the Remez (1962) algorithm for polynomials and the Cody-Fraser-Hart (1968) <doi:10.1007/BF02162506> algorithm for rational functions, as well as their barycentric formulations: the Pachón-Trefethen (2009) <doi:10.1007/s10543-009-0240-1> algorithm for polynomials and the Filip-Nakatsukasa-Trefethen-Beckermann (2018) <doi:10.1137/17M1132409> algorithm for rational functions, which provide improved numerical stability at higher degrees and on wider intervals.
Author: Avraham Adler [aut, cre, cph]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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Package epiR updated to version 2.0.95 with previous version 2.0.94 dated 2026-06-26

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ctb], Paola Sebastiani [ctb], Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package twopexp updated to version 1.0.0 with previous version 0.1.0 dated 2023-06-13

Title: The Two Parameter Exponential Distribution
Description: Density, distribution function, quantile function, and random generation function, maximum likelihood estimation (MLE), penalized maximum likelihood estimation (PMLE), the quartiles method estimation (QM), and median rank estimation (MEDRANK) for the two-parameter exponential distribution. MLE and PMLE are based on Mengjie Zheng (2013)<https://scse.d.umn.edu/sites/scse.d.umn.edu/files/mengjie-thesis_masters-1.pdf>. QM is based on Entisar Elgmati and Nadia Gregni (2016)<doi:10.5539/ijsp.v5n5p12>. MEDRANK is based on Matthew Reid (2022)<doi:10.5281/ZENODO.3938000>. In addition, the functions for computing the Kolmogorov-Smirnov (D) statistic, the Cramér-von Mises statistic, and the Anderson–Darling statistic are provided.
Author: Atchanut Rattanalertnusorn [aut, cre]
Maintainer: Atchanut Rattanalertnusorn <atchanut_r@rmutt.ac.th>

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Package sensobol updated to version 1.2.0 with previous version 1.1.9 dated 2026-04-30

Title: Computation of Variance-Based Sensitivity Indices
Description: It allows to rapidly compute, bootstrap and plot up to fourth-order Sobol'-based sensitivity indices using several state-of-the-art first and total-order estimators. Sobol' indices can be computed either for models that yield a scalar as a model output or for systems of differential equations. The package also provides a suit of benchmark tests functions and several options to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis. An overview of the package can be found in Puy et al. (2022) <doi:10.18637/jss.v102.i05>.
Author: Arnald Puy [aut, cre] , Bertrand Ioos [ctb] , Gilles Pujol [ctb] , RStudio [cph]
Maintainer: Arnald Puy <arnald.puy@pm.me>

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Package nwsrfsr updated to version 1.0.2 with previous version 1.0.0 dated 2026-07-16

Title: NWS Hydrology Models: SAC-SMA, SNOW17, UH, CONSUSE, CHANLOSS
Description: Interface to the National Weather Service operational hydrology models, Sacramento Soil Moisture Accounting (SAC-SMA), Snow Accumulation and Ablation (SNOW17). Also provides an interface to the unit hydrograph routing model (UH), consumptive use (CONSUSE) and channel loss/gain modules (CHANLOSS). The Fortran code used in this package is considered "legacy" and is not supported officially by NWS, but it should not have any significant differences from current operational models.
Author: Cameron Bracken [aut, cre] , Geoffrey Walters [aut] , Eric Anderson [ctb] ), George F. Smith [ctb] ), Janice M. Lewis [ctb] ), John E. Pask [ctb] ; see inst/COPYRIGHTS), Ondrej Certik [ctb] , John Burkhardt [ctb] , National Oceanic and Atmospheric Ad [...truncated...]
Maintainer: Cameron Bracken <cameron.bracken@pnnl.gov>

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Package merDeriv updated to version 0.2-6 with previous version 0.2-5 dated 2025-06-12

Title: Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models
Description: Compute case-wise and cluster-wise derivative for mixed effects models with respect to fixed effects parameter, random effect (co)variances, and residual variance. This material is partially based on work supported by the National Science Foundation under Grant Number 1460719.
Author: Ting Wang [aut, cre], Edgar Merkle [aut] , Yves Rosseel [ctb]
Maintainer: Ting Wang <szpku.grady@gmail.com>

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Package tern updated to version 0.9.11 with previous version 0.9.10 dated 2025-12-18

Title: Create Common TLGs Used in Clinical Trials
Description: Table, Listings, and Graphs (TLG) library for common outputs used in clinical trials.
Author: Joe Zhu [aut, cre] , Daniel Sabanes Bove [aut], Jana Stoilova [aut], Davide Garolini [aut] , Emily de la Rua [aut] , Abinaya Yogasekaram [aut] , Heng Wang [aut], Francois Collin [aut], Adrian Waddell [aut], Pawel Rucki [aut], Chendi Liao [aut], Jenni [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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 tests/testthat/test-logistic_regression.R                 |   51 
 tests/testthat/test-make_afun.R                           |   12 
 tests/testthat/test-odds_ratio.R                          |   20 
 tests/testthat/test-prop_diff.R                           | 1235 ++++----
 tests/testthat/test-prune_occurrences.R                   |   18 
 tests/testthat/test-response_biomarkers_subgroups.R       |    6 
 tests/testthat/test-response_subgroups.R                  |  698 ++--
 tests/testthat/test-rtables_access.R                      |   22 
 tests/testthat/test-score_occurrences.R                   |   60 
 tests/testthat/test-split_cols_by_groups.R                |   40 
 tests/testthat/test-summarize_ancova.R                    |  113 
 tests/testthat/test-summarize_change.R                    |   44 
 tests/testthat/test-summarize_colvars.R                   |   30 
 tests/testthat/test-summarize_coxreg.R                    |   70 
 tests/testthat/test-summarize_glm_count.R                 |   78 
 tests/testthat/test-summarize_num_patients.R              |  128 
 tests/testthat/test-summarize_patients_exposure_in_cols.R |   40 
 tests/testthat/test-survival_biomarkers_subgroups.R       |    6 
 tests/testthat/test-survival_coxph_pairwise.R             |  179 -
 tests/testthat/test-survival_duration_subgroups.R         |  608 ++--
 tests/testthat/test-survival_time.R                       |  110 
 tests/testthat/test-survival_timepoint.R                  |   86 
 tests/testthat/test-test_proportion_diff.R                |  851 +++--
 tests/testthat/test-utils.R                               |   12 
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 tests/testthat/test-utils_ggplot.R                        |   30 
 tests/testthat/test-utils_grid.R                          |    2 
 tests/testthat/test-utils_rtables.R                       |  112 
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 vignettes/missing_values.Rmd                              |   32 
 vignettes/tables.Rmd                                      |  172 -
 vignettes/tern.Rmd                                        |   12 
 vignettes/tern_formats.Rmd                                |   38 
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Permanent link

Package rjd3workspace updated to version 3.8.0 with previous version 3.7.1 dated 2026-04-02

Title: Wrangling 'JDemetra+ 3.x' Workspaces
Description: R Interface to 'JDemetra+ 3.x'(<https://github.com/jdemetra>). It offers several functions to manipulate 'JDemetra+' workspaces, which can be read by the software and can store several seasonal adjusted series along with user-defined calendars or regression variables.
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art], Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>

Diff between rjd3workspace versions 3.7.1 dated 2026-04-02 and 3.8.0 dated 2026-07-17

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 rjd3workspace-3.8.0/rjd3workspace/R/saprocessing.R                                                   | 1796 +++---
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 rjd3workspace-3.8.0/rjd3workspace/R/workspace.R                                                      | 1350 ++---
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Permanent link

Package Qindex updated to version 0.2.0 with previous version 0.1.7 dated 2024-11-14

Title: Continuous and Dichotomized Index Predictors Based on Distribution Quantiles
Description: The author has retired from academic research. Accordingly, this package should not be considered a validated tool for use in peer-reviewed publications or as the basis for grant applications. Backward compatibility with user-code published in <doi:10.1186/s12859-023-05408-8> and <doi:10.1016/j.labinv.2023.100158> is not maintained in versions >= 0.4.0 (June 2026) of this package. The authors of those publications are the appropriate contacts for reproducibility inquiries.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between Qindex versions 0.1.7 dated 2024-11-14 and 0.2.0 dated 2026-07-17

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More information about Qindex at CRAN
Permanent link

Package mboost updated to version 2.9-13 with previous version 2.9-12 dated 2026-07-15

Title: Model-Based Boosting
Description: Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data. Models and algorithms are described in <doi:10.1214/07-STS242>, a hands-on tutorial is available from <doi:10.1007/s00180-012-0382-5>. The package allows user-specified loss functions and base-learners.
Author: Torsten Hothorn [cre, aut] , Peter Buehlmann [aut] , Thomas Kneib [aut] , Matthias Schmid [aut] , Benjamin Hofner [aut] , Fabian Otto-Sobotka [ctb] , Fabian Scheipl [ctb] , Andreas Mayr [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mboost versions 2.9-12 dated 2026-07-15 and 2.9-13 dated 2026-07-17

 DESCRIPTION                         |    6 
 MD5                                 |   48 +--
 build/partial.rdb                   |binary
 inst/NEWS.Rd                        |    8 
 inst/doc/SurvivalEnsembles.pdf      |binary
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More information about mboost at CRAN
Permanent link

Package IndependenceTests updated to version 0.8 with previous version 0.7 dated 2026-07-14

Title: Non-Parametric Tests of Independence Between Random Vectors
Description: Non-parametric tests of independence (mutual or serial) between some quantitative random vectors, as described in Bilodeau M. and Lafaye de Micheaux P. (2009) <doi:10.1016/j.jspi.2008.11.006>, in Beran R., Bilodeau M. and Lafaye de Micheaux P. (2007) <doi:10.1016/j.jmva.2007.01.009> and in Fan Y., Lafaye de Micheaux P., Penev S. and Salopek D. (2017) <doi:10.1016/j.jmva.2016.09.014>.
Author: Pierre Lafaye De Micheaux [aut, cre] , Martin Bilodeau [aut], Yanan Fan [aut], Spiridon Penev [aut], Donna Salopek [aut], Cleve Moler [cph] , Jack Dongarra [cph] , Richard Hanson [cph] , Sven Hammarling [cph] , Jeremy Du Croz [cph]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>

Diff between IndependenceTests versions 0.7 dated 2026-07-14 and 0.8 dated 2026-07-17

 DESCRIPTION                |    8 +-
 MD5                        |   48 ++++++------
 inst/HISTORY               |   30 +++++++
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More information about IndependenceTests at CRAN
Permanent link

Package astrochron updated to version 1.8 with previous version 1.7 dated 2026-06-26

Title: A Computational Tool for Astrochronology
Description: Routines for astrochronologic testing, astronomical time scale construction, and time series analysis <doi:10.1016/j.earscirev.2018.11.015>. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
Author: Stephen Meyers [aut, cre], Alberto Malinverno [ctb], Linda Hinnov [ctb], Christian Zeeden [ctb], Huaran Liu [ctb], Vincent Moron [ctb], Michel Crucifix [ctb]
Maintainer: Stephen Meyers <smeyers@geology.wisc.edu>

Diff between astrochron versions 1.7 dated 2026-06-26 and 1.8 dated 2026-07-17

 astrochron-1.7/astrochron/R/FUNCTION-etp_v7.R              |only
 astrochron-1.7/astrochron/R/FUNCTION-getData_v11.R         |only
 astrochron-1.7/astrochron/R/FUNCTION-timeOptBMCMCplot_v7.R |only
 astrochron-1.8/astrochron/DESCRIPTION                      |    8 ++--
 astrochron-1.8/astrochron/MD5                              |   25 +++++++-----
 astrochron-1.8/astrochron/NAMESPACE                        |    1 
 astrochron-1.8/astrochron/NEWS                             |   19 ++++++++-
 astrochron-1.8/astrochron/R/FUNCTION-alodfromk_v2.R        |only
 astrochron-1.8/astrochron/R/FUNCTION-etp_v8.R              |only
 astrochron-1.8/astrochron/R/FUNCTION-getData_v12.R         |only
 astrochron-1.8/astrochron/R/FUNCTION-getLaskar_v6.R        |only
 astrochron-1.8/astrochron/R/FUNCTION-timeOptBMCMCplot_v8.R |only
 astrochron-1.8/astrochron/R/startupMessage.R               |    4 +-
 astrochron-1.8/astrochron/man/alodfromk.Rd                 |only
 astrochron-1.8/astrochron/man/astrochron-package.Rd        |    4 +-
 astrochron-1.8/astrochron/man/integratePower.Rd            |    2 +
 astrochron-1.8/astrochron/man/linterpLH13.Rd               |    2 -
 astrochron-1.8/astrochron/man/synthStrat.Rd                |   26 ++++++-------
 18 files changed, 56 insertions(+), 35 deletions(-)

More information about astrochron at CRAN
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