Sat, 07 Feb 2026

Package LRTesteR updated to version 1.3.1 with previous version 1.3.0 dated 2025-05-24

Title: Likelihood Ratio Tests and Confidence Intervals
Description: A collection of hypothesis tests and confidence intervals based on the likelihood ratio <https://en.wikipedia.org/wiki/Likelihood-ratio_test>.
Author: Greg McMahan [aut, cre]
Maintainer: Greg McMahan <gmcmacran@gmail.com>

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Package FLORAL updated to version 0.7.0 with previous version 0.6.0 dated 2025-11-21

Title: Fit Log-Ratio Lasso Regression for Compositional Data
Description: Log-ratio Lasso regression for continuous, binary, and survival outcomes with (longitudinal) compositional features. See Fei and others (2024) <doi:10.1016/j.crmeth.2024.100899>.
Author: Teng Fei [aut, cre, cph] , Tyler Funnell [aut] , Nicholas Waters [aut] , Sandeep Raj [aut]
Maintainer: Teng Fei <feit1@mskcc.org>

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Package projectLSA updated to version 0.0.8 with previous version 0.0.7 dated 2026-01-30

Title: Shiny Application for Latent Structure Analysis with a Graphical User Interface
Description: Provides an interactive Shiny-based toolkit for conducting latent structure analyses, including Latent Profile Analysis (LPA), Latent Class Analysis (LCA), Latent Trait Analysis (LTA/IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The implementation is grounded in established methodological frameworks: LPA is supported through 'tidyLPA' (Rosenberg et al., 2018) <doi:10.21105/joss.00978>, LCA through 'poLCA' (Linzer & Lewis, 2011) <doi:10.32614/CRAN.package.poLCA> & 'glca' (Kim & Kim, 2024) <doi:10.32614/CRAN.package.glca>, LTA/IRT via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>, and EFA via 'psych' (Revelle, 2025). SEM and CFA functionalities build upon the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. Users can upload datasets or use built-in examples, fit models, compare fit indices, visualize results, and export outputs without programming.
Author: Hasan Djidu [aut, cre] , Heri Retnawati [ctb] , Samsul Hadi [ctb] , Haryanto [ctb]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>

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Package rib updated to version 0.30.4 with previous version 0.25.3 dated 2025-02-10

Title: An Implementation of 'Interactive Brokers' API
Description: Allows interaction with 'Interactive Brokers' 'Trader Workstation' <https://interactivebrokers.github.io/tws-api/>. Handles the connection over the network and the exchange of messages. Data is encoded and decoded between user and wire formats. Data structures and functionality closely mirror the official implementations.
Author: Luca Billi [aut, cre]
Maintainer: Luca Billi <noreply.section+dev@gmail.com>

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Package tdsa updated to version 1.1-2 with previous version 1.1-1 dated 2025-05-15

Title: Time-Dependent Sensitivity Analysis
Description: Functions that can be used to calculate time-dependent state and parameter sensitivities for both continuous- and discrete-time deterministic models. See Ng et al. (2023) <doi:10.1086/726143> for more information about time-dependent sensitivity analysis.
Author: Wee Hao Ng [aut, cre] , Christopher R. Myers [ctb] , Scott H. McArt [ctb] , Stephen P. Ellner [ctb]
Maintainer: Wee Hao Ng <wn68@cornell.edu>

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Package ambit updated to version 0.2.3 with previous version 0.1.2 dated 2022-08-19

Title: Simulation and Estimation of Ambit Processes
Description: Simulation and estimation tools for various types of ambit processes, including trawl processes and weighted trawl processes.
Author: Almut E. D. Veraart [aut, cre, cph]
Maintainer: Almut E. D. Veraart <a.veraart@imperial.ac.uk>

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Package cocoon updated to version 0.3.0 with previous version 0.2.1 dated 2025-09-07

Title: Extract, Format, and Print Statistical Output
Description: Provides functions that format statistical output in a way that can be inserted into R Markdown documents. This is analogous to the apa_print() functions in the 'papaja' package but prints Markdown or LaTeX syntax.
Author: Jeffrey R. Stevens [aut, cre, cph]
Maintainer: Jeffrey R. Stevens <jeffrey.r.stevens@protonmail.com>

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Package nflfastR updated to version 5.2.0 with previous version 5.1.0 dated 2025-05-14

Title: Functions to Efficiently Access NFL Play by Play Data
Description: A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.
Author: Sebastian Carl [aut], Ben Baldwin [cre, aut], Lee Sharpe [ctb], Maksim Horowitz [ctb], Ron Yurko [ctb], Samuel Ventura [ctb], Tan Ho [ctb], John Edwards [ctb]
Maintainer: Ben Baldwin <bbaldwin206@gmail.com>

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Package healthcare.antitrust updated to version 0.1.5 with previous version 0.1.4 dated 2024-01-08

Title: Healthcare Antitrust Analysis
Description: Antitrust analysis of healthcare markets. Contains functions to implement the semiparametric estimation technique described in Raval, Rosenbaum, and Tenn (2017) "A Semiparametric Discrete Choice Model: An Application to Hospital Mergers" <doi:10.1111/ecin.12454>.
Author: Matthew T Panhans [aut, cre]
Maintainer: Matthew T Panhans <mpanhans@gmail.com>

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Package exdqlm updated to version 0.3.0 with previous version 0.2.0 dated 2026-01-12

Title: Extended Dynamic Quantile Linear Models
Description: Routines for Bayesian estimation and analysis of dynamic quantile linear models utilizing the extended asymmetric Laplace error distribution, also known as extended dynamic quantile linear models (exDQLM) described in Barata et al (2020) <doi:10.1214/21-AOAS1497>.
Author: Raquel Barata [aut, cre], Raquel Prado [ths], Bruno Sanso [ths], Antonio Aguirre [aut]
Maintainer: Raquel Barata <raquel.a.barata@gmail.com>

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Package RFOC updated to version 3.4-14 with previous version 3.4-10 dated 2023-09-06

Title: Graphics for Spherical Distributions and Earthquake Focal Mechanisms
Description: Graphics for statistics on a sphere, as applied to geological fault data, crystallography, earthquake focal mechanisms, radiation patterns, ternary plots and geographical/geological maps. Non-double couple plotting of focal spheres and source type maps are included for statistical analysis of moment tensors.
Author: Jonathan M. Lees [aut, cre], Keehoon Kim [ctb]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

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Package volker updated to version 3.3.1 with previous version 3.3.0 dated 2026-01-10

Title: High-Level Functions for Tabulating, Charting and Reporting Survey Data
Description: Craft polished tables and plots in Markdown reports. Simply choose whether to treat your data as counts or metrics, and the package will automatically generate well-designed default tables and plots for you. Boiled down to the basics, with labeling features and simple interactive reports. All functions are 'tidyverse' compatible.
Author: Jakob Juenger [aut, cre, cph] , Henrieke Kotthoff [aut, ctb] , Chantal Gaertner [ctb] , Sophia Rinne [ctb]
Maintainer: Jakob Juenger <jakob.juenger@uni-muenster.de>

Diff between volker versions 3.3.0 dated 2026-01-10 and 3.3.1 dated 2026-02-07

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Package somhca updated to version 0.3.0 with previous version 0.2.0 dated 2025-01-27

Title: Self-Organising Maps Coupled with Hierarchical Cluster Analysis
Description: Implements self-organising maps combined with hierarchical cluster analysis (SOM-HCA) for clustering and visualization of high-dimensional data. The package includes functions to estimate the optimal map size based on various quality measures and to generate a model using the selected dimensions. It also performs hierarchical clustering on the map nodes to group similar units. Documentation about the SOM-HCA method is provided in Pastorelli et al. (2024) <doi:10.1002/xrs.3388>.
Author: Gianluca Pastorelli [aut, cre]
Maintainer: Gianluca Pastorelli <gianluca.pastorelli@gmail.com>

Diff between somhca versions 0.2.0 dated 2025-01-27 and 0.3.0 dated 2026-02-07

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Package Westerlund updated to version 0.1.2 with previous version 0.1.1 dated 2026-01-17

Title: Panel Cointegration Tests Based on Westerlund (2007)
Description: Implements a functional approximation of the four panel cointegration tests developed by Westerlund (2007) <doi:10.1111/j.1468-0084.2007.00477.x>. The tests are based on structural rather than residual dynamics and allow for heterogeneity in both the long-run cointegrating relationship and the short-run dynamics. The package includes logic for automated lag and lead selection via AIC/BIC, Bartlett kernel long-run variance estimation, and a bootstrap procedure to handle cross-sectional dependence. It also includes a bootstrapping distribution visualization function for diagnostic purposes.
Author: Bosco Hung [aut, cre]
Maintainer: Bosco Hung <bosco.hung@st-annes.ox.ac.uk>

Diff between Westerlund versions 0.1.1 dated 2026-01-17 and 0.1.2 dated 2026-02-07

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Package tweedie updated to version 3.0.12 with previous version 3.0.10 dated 2026-02-06

Title: Evaluation of Tweedie Exponential Family Models
Description: Maximum likelihood computations for Tweedie families, including the series expansion (Dunn and Smyth, 2005; <doi:10.1007/s11222-005-4070-y>) and the Fourier inversion (Dunn and Smyth, 2008; <doi:10.1007/s11222-007-9039-6>), and related methods.
Author: Peter K. Dunn [cre, aut]
Maintainer: Peter K. Dunn <pdunn2@usc.edu.au>

Diff between tweedie versions 3.0.10 dated 2026-02-06 and 3.0.12 dated 2026-02-07

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New package SppTrend with initial version 0.4
Package: SppTrend
Title: Analyzing Linear Trends in Species Occurrence Data
Version: 0.4
Description: Provides a methodology to analyze how species occurrences change over time, particularly in relation to spatial and thermal factors. It facilitates the development of explanatory hypotheses about the impact of environmental shifts on species by analyzing historical presence data that includes temporal and geographic information. Approach described in Lobo et al., 2023 <doi:10.1002/ece3.10674>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), devtools
Imports: dplyr, tidyr, terra, stats, stringr, tidyselect, ggplot2, patchwork, sf
NeedsCompilation: no
Packaged: 2026-02-04 09:15:16 UTC; mario
Author: Mario Mingarro [aut, cre] , Emilio Garcia-Rosello [aut] , Jorge M. Lobo [aut]
Maintainer: Mario Mingarro <mario_mingarro@mncn.csic.es>
Repository: CRAN
Date/Publication: 2026-02-07 12:50:02 UTC

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New package readosense with initial version 0.0.1
Package: readosense
Title: Imports Log and Data Files from Eosense Flux Chambers
Version: 0.0.1
Date: 2026-01-30
Description: Imports log and data files from "Eosense" ecosystem gas flux chambers into dataframes that can directly be used with "fluxible" by Gaudard et al (2025) <doi:10.1111/2041-210X.70161>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, lubridate, purrr, readr, rlang, tidyr
Suggests: testthat (>= 3.0.0)
Depends: R (>= 4.1)
URL: https://jogaudard.github.io/readosense/
BugReports: https://github.com/jogaudard/readosense/issues
NeedsCompilation: no
Packaged: 2026-02-04 09:45:54 UTC; jga051
Author: Joseph Gaudard [aut, cre]
Maintainer: Joseph Gaudard <joseph.gaudard@pm.me>
Repository: CRAN
Date/Publication: 2026-02-07 12:40:02 UTC

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New package optimflex with initial version 0.1.0
Package: optimflex
Title: Derivative-Based Optimization with User-Defined Convergence Criteria
Version: 0.1.0
Description: Provides a derivative-based optimization framework that allows users to combine eight convergence criteria. Unlike standard optimization functions, this package includes a built-in mechanism to verify the positive definiteness of the Hessian matrix at the point of convergence. This additional check helps prevent the solver from falsely identifying non-optimal solutions, such as saddle points, as valid minima.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: numDeriv, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-04 07:35:53 UTC; bene
Author: Eunseong Cho [aut, cre]
Maintainer: Eunseong Cho <bene@kw.ac.kr>
Repository: CRAN
Date/Publication: 2026-02-07 12:40:07 UTC

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Package LabRS updated to version 0.2.0 with previous version 0.1.0 dated 2018-12-18

Title: Laboratorio di Ricerca Sociale con R
Description: Libreria di dati, scripts e funzioni che accompagna il libro "Ricerca sociale con R. Concetti e funzioni base per la ricerca sociale".
Author: Agnese Vardanega [aut, cre]
Maintainer: Agnese Vardanega <avardanega@unite.it>

Diff between LabRS versions 0.1.0 dated 2018-12-18 and 0.2.0 dated 2026-02-07

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Package fastrmodels updated to version 2.1.0 with previous version 2.0.0 dated 2025-05-15

Title: Models for the 'nflfastR' Package
Description: A data package that hosts all models for the 'nflfastR' package.
Author: Sebastian Carl [cre, aut], Ben Baldwin [aut]
Maintainer: Sebastian Carl <mrcaseb@gmail.com>

Diff between fastrmodels versions 2.0.0 dated 2025-05-15 and 2.1.0 dated 2026-02-07

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Package dream readmission to version 1.0.1 with previous version 1.0.0 dated 2026-01-20

Title: Dynamic Relational Event Analysis and Modeling
Description: A set of tools for relational and event analysis, including two- and one-mode network brokerage and structural measures, and helper functions optimized for relational event analysis with large datasets, including creating relational risk sets, computing network statistics, estimating relational event models, and simulating relational event sequences. For more information on relational event models, see Butts (2008) <doi:10.1111/j.1467-9531.2008.00203.x>, Lerner and Lomi (2020) <doi:10.1017/nws.2019.57>, Bianchi et al. (2024) <doi:10.1146/annurev-statistics-040722-060248>, and Butts et al. (2023) <doi:10.1017/nws.2023.9>. In terms of the structural measures in this package, see Leal (2025) <doi:10.1177/00491241251322517>, Burchard and Cornwell (2018) <doi:10.1016/j.socnet.2018.04.001>, and Fujimoto et al. (2018) <doi:10.1017/nws.2018.11>. This package was developed with support from the National Science Foundation’s (NSF) Human Networks and Data [...truncated...]
Author: Kevin A. Carson [aut, cre] , Diego F. Leal [aut]
Maintainer: Kevin A. Carson <kacarson@arizona.edu>

This is a re-admission after prior archival of version 1.0.0 dated 2026-01-20

Diff between dream versions 1.0.0 dated 2026-01-20 and 1.0.1 dated 2026-02-07

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Package theorytools updated to version 0.1.3 with previous version 0.1.2 dated 2025-07-13

Title: FAIR Theory Construction
Description: An integrated suite of tools for creating, maintaining, and reusing FAIR (Findable, Accessible, Interoperable, Reusable) theories. Designed to support transparent and collaborative theory development, the package enables users to formalize theories, track changes with version control, assess pre-empirical coherence, and derive testable hypotheses. Aligning with open science principles and workflows, 'theorytools' facilitates the systematic improvement of theoretical frameworks and enhances their discoverability and usability.
Author: Caspar J. Van Lissa [aut, cre]
Maintainer: Caspar J. Van Lissa <c.j.vanlissa@tilburguniversity.edu>

Diff between theorytools versions 0.1.2 dated 2025-07-13 and 0.1.3 dated 2026-02-07

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Package network updated to version 1.20.0 with previous version 1.19.0 dated 2024-12-09

Title: Classes for Relational Data
Description: Tools to create and modify network objects. The network class can represent a range of relational data types, and supports arbitrary vertex/edge/graph attributes.
Author: Carter T. Butts [aut, cre], David Hunter [ctb], Mark Handcock [ctb], Skye Bender-deMoll [ctb], Jeffrey Horner [ctb], Li Wang [ctb], Pavel N. Krivitsky [ctb] , Brendan Knapp [ctb] , Michal Bojanowski [ctb] , Chad Klumb [ctb]
Maintainer: Carter T. Butts <buttsc@uci.edu>

Diff between network versions 1.19.0 dated 2024-12-09 and 1.20.0 dated 2026-02-07

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Package MOSAlloc updated to version 1.2.4 with previous version 1.2.3 dated 2026-01-27

Title: Constraint Multiobjective Sample Allocation
Description: Provides a framework for multipurpose optimal resource allocation in survey sampling, extending the classical optimal allocation principles introduced by Tschuprow (1923) and Neyman (1934) to multidomain and multivariate allocation problems. The primary method mosalloc() allows for the consideration of precision and cost constraints at the subpopulation level while minimizing either a vector of sampling errors or survey costs across a broad range of optimal sample allocation problems. The approach supports both single- and multistage designs. For single-stage stratified random sampling, the mosallocSTRS() function offers a user- friendly interface. Sensitivity analysis is supported through the problem's dual variables, which are naturally obtained via the internal use of the Embedded Conic Solver from the 'ECOSolveR' package. See Willems (2025, <doi:10.25353/ubtr-9200-484c-5c89>) for a detailed description of the theory behind 'MOSAlloc'.
Author: Felix Willems [aut, cre] , Ralf Muennich [ths]
Maintainer: Felix Willems <mail.willemsf+MOSAlloc@gmail.com>

Diff between MOSAlloc versions 1.2.3 dated 2026-01-27 and 1.2.4 dated 2026-02-07

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Package garma updated to version 1.0.1 with previous version 1.0.0 dated 2026-02-05

Title: Fitting and Forecasting Gegenbauer ARMA Time Series Models
Description: Methods for estimating univariate long memory-seasonal/cyclical Gegenbauer time series processes. See for example (2022) <doi:10.1007/s00362-022-01290-3>. Refer to the vignette for details of fitting these processes.
Author: Richard Hunt [aut, cre]
Maintainer: Richard Hunt <maint@huntemail.id.au>

Diff between garma versions 1.0.0 dated 2026-02-05 and 1.0.1 dated 2026-02-07

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More information about garma at CRAN
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Package tdigest (with last version 0.4.2) was removed from CRAN

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

2024-06-19 0.4.2
2022-10-04 0.4.1
2019-08-01 0.3.0

Permanent link
Package vazul updated to version 1.1.0 with previous version 1.0.0 dated 2026-01-28

Title: Analysis Blinding Tools
Description: Provides tools for analysis blinding in confirmatory research contexts by masking and scrambling test-relevant aspects of data. Vector-, data frame-, and row-wise operations support blinding for hierarchical and repeated-measures designs. For more details see MacCoun and Perlmutter (2015) <doi:10.1038/526187a> and Dutilh, Sarafoglou, and Wagenmakers (2019) <doi:10.1007/s11229-019-02456-7>.
Author: Tamas Nagy [aut, cre] , Alexandra Sarafoglou [aut, dtc] , Marton Kovacs [aut]
Maintainer: Tamas Nagy <nagytamas.hungary@gmail.com>

Diff between vazul versions 1.0.0 dated 2026-01-28 and 1.1.0 dated 2026-02-07

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Package scorecard updated to version 0.4.6 with previous version 0.4.5 dated 2025-08-20

Title: Credit Risk Scorecard
Description: The `scorecard` package makes the development of credit risk scorecard easier and efficient by providing functions for some common tasks, such as data partition, variable selection, woe binning, scorecard scaling, performance evaluation and report generation. These functions can also used in the development of machine learning models. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>

Diff between scorecard versions 0.4.5 dated 2025-08-20 and 0.4.6 dated 2026-02-07

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Package reporter updated to version 1.4.6 with previous version 1.4.5 dated 2025-11-22

Title: Creates Statistical Reports
Description: Contains functions to create regulatory-style statistical reports. Originally designed to create tables, listings, and figures for the pharmaceutical, biotechnology, and medical device industries, these reports are generalized enough that they could be used in any industry. Generates text, rich-text, PDF, HTML, and Microsoft Word file formats. The package specializes in printing wide and long tables with automatic page wrapping and splitting. Reports can be produced with a minimum of function calls, and without relying on other table packages. The package supports titles, footnotes, page header, page footers, spanning headers, page by variables, and automatic page numbering.
Author: David Bosak [aut, cre], Bill Huang [aut], Kevin Kramer [ctb], Duong Tran [ctb], Raphael Huang [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between reporter versions 1.4.5 dated 2025-11-22 and 1.4.6 dated 2026-02-07

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Package partykit updated to version 1.2-25 with previous version 1.2-24 dated 2025-05-02

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>

Diff between partykit versions 1.2-24 dated 2025-05-02 and 1.2-25 dated 2026-02-07

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More information about partykit at CRAN
Permanent link

Package mlpack updated to version 4.7.0 with previous version 4.6.3 dated 2025-09-01

Title: 'Rcpp' Integration for the 'mlpack' Library
Description: A fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. See also Curtin et al. (2023) <doi:10.21105/joss.05026>.
Author: Yashwant Singh Parihar [aut, ctb, cph], Ryan Curtin [aut, ctb, cph, cre], Dirk Eddelbuettel [aut, ctb, cph], James Balamuta [aut, ctb, cph], Bill March [ctb, cph], Dongryeol Lee [ctb, cph], Nishant Mehta [ctb, cph], Parikshit Ram [ctb, cph], James Cl [...truncated...]
Maintainer: Ryan Curtin <ryan@ratml.org>

Diff between mlpack versions 4.6.3 dated 2025-09-01 and 4.7.0 dated 2026-02-07

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 mlpack-4.7.0/mlpack/DESCRIPTION                                                                                |   10 
 mlpack-4.7.0/mlpack/LICENSE                                                                                    |    2 
 mlpack-4.7.0/mlpack/MD5                                                                                        |  875 +++++-----
 mlpack-4.7.0/mlpack/R/adaboost.R                                                                               |    4 
 mlpack-4.7.0/mlpack/R/approx_kfn.R                                                                             |    4 
 mlpack-4.7.0/mlpack/R/bayesian_linear_regression.R                                                             |    4 
 mlpack-4.7.0/mlpack/R/cf.R                                                                                     |    4 
 mlpack-4.7.0/mlpack/R/dbscan.R                                                                                 |    4 
 mlpack-4.7.0/mlpack/R/decision_tree.R                                                                          |    4 
 mlpack-4.7.0/mlpack/R/det.R                                                                                    |    4 
 mlpack-4.7.0/mlpack/R/emst.R                                                                                   |    4 
 mlpack-4.7.0/mlpack/R/fastmks.R                                                                                |    4 
 mlpack-4.7.0/mlpack/R/gmm_generate.R                                                                           |    4 
 mlpack-4.7.0/mlpack/R/gmm_probability.R                                                                        |    4 
 mlpack-4.7.0/mlpack/R/gmm_train.R                                                                              |    4 
 mlpack-4.7.0/mlpack/R/hmm_generate.R                                                                           |    4 
 mlpack-4.7.0/mlpack/R/hmm_loglik.R                                                                             |    4 
 mlpack-4.7.0/mlpack/R/hmm_train.R                                                                              |    4 
 mlpack-4.7.0/mlpack/R/hmm_viterbi.R                                                                            |    4 
 mlpack-4.7.0/mlpack/R/hoeffding_tree.R                                                                         |    4 
 mlpack-4.7.0/mlpack/R/image_converter.R                                                                        |    4 
 mlpack-4.7.0/mlpack/R/kde.R                                                                                    |    4 
 mlpack-4.7.0/mlpack/R/kernel_pca.R                                                                             |    4 
 mlpack-4.7.0/mlpack/R/kfn.R                                                                                    |    4 
 mlpack-4.7.0/mlpack/R/kmeans.R                                                                                 |    4 
 mlpack-4.7.0/mlpack/R/knn.R                                                                                    |    4 
 mlpack-4.7.0/mlpack/R/krann.R                                                                                  |    4 
 mlpack-4.7.0/mlpack/R/lars.R                                                                                   |    4 
 mlpack-4.7.0/mlpack/R/linear_regression.R                                                                      |    4 
 mlpack-4.7.0/mlpack/R/linear_svm.R                                                                             |    4 
 mlpack-4.7.0/mlpack/R/lmnn.R                                                                                   |    4 
 mlpack-4.7.0/mlpack/R/local_coordinate_coding.R                                                                |    4 
 mlpack-4.7.0/mlpack/R/logistic_regression.R                                                                    |    4 
 mlpack-4.7.0/mlpack/R/lsh.R                                                                                    |    4 
 mlpack-4.7.0/mlpack/R/mean_shift.R                                                                             |    4 
 mlpack-4.7.0/mlpack/R/nbc.R                                                                                    |    4 
 mlpack-4.7.0/mlpack/R/nca.R                                                                                    |    4 
 mlpack-4.7.0/mlpack/R/nmf.R                                                                                    |    4 
 mlpack-4.7.0/mlpack/R/pca.R                                                                                    |    4 
 mlpack-4.7.0/mlpack/R/perceptron.R                                                                             |    4 
 mlpack-4.7.0/mlpack/R/preprocess_binarize.R                                                                    |    4 
 mlpack-4.7.0/mlpack/R/preprocess_describe.R                                                                    |    2 
 mlpack-4.7.0/mlpack/R/preprocess_one_hot_encoding.R                                                            |    4 
 mlpack-4.7.0/mlpack/R/preprocess_scale.R                                                                       |    8 
 mlpack-4.7.0/mlpack/R/preprocess_split.R                                                                       |    4 
 mlpack-4.7.0/mlpack/R/radical.R                                                                                |    4 
 mlpack-4.7.0/mlpack/R/random_forest.R                                                                          |    4 
 mlpack-4.7.0/mlpack/R/softmax_regression.R                                                                     |    4 
 mlpack-4.7.0/mlpack/R/sparse_coding.R                                                                          |    4 
 mlpack-4.7.0/mlpack/R/test_r_binding.R                                                                         |    4 
 mlpack-4.7.0/mlpack/inst/include/mlpack.h                                                                      |    4 
 mlpack-4.7.0/mlpack/inst/include/mlpack.hpp                                                                    |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/base.hpp                                                               |    1 
 mlpack-4.7.0/mlpack/inst/include/mlpack/config.hpp                                                             |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/arma_extend/find_nan.hpp                                          |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cereal/low_precision.hpp                                          |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cv/cv_base.hpp                                                    |   22 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cv/cv_base_impl.hpp                                               |   14 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cv/k_fold_cv.hpp                                                  |    8 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cv/k_fold_cv_impl.hpp                                             |    8 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cv/meta_info_extractor.hpp                                        |   20 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cv/metrics/f1_impl.hpp                                            |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cv/metrics/facilities.hpp                                         |    3 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cv/metrics/precision_impl.hpp                                     |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cv/metrics/r2_score_impl.hpp                                      |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cv/metrics/silhouette_score_impl.hpp                              |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cv/simple_cv.hpp                                                  |    8 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/cv/simple_cv_impl.hpp                                             |    4 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/binarize.hpp                                                 |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/check_categorical_param.hpp                                  |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/combine_options.hpp                                          |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/confusion_matrix.hpp                                         |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/confusion_matrix_impl.hpp                                    |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/data.hpp                                                     |   10 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/data_options.hpp                                             |  359 +++-
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/dataset_mapper.hpp                                           |    8 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/dataset_mapper_impl.hpp                                      |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/detect_file_type.hpp                                         |   39 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/detect_file_type_impl.hpp                                    |  196 ++
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/extension.hpp                                                |    6 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/font8x8_basic.h                                              |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/has_serialize.hpp                                            |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/image_bounding_box.hpp                                       |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/image_bounding_box_impl.hpp                                  |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/image_layout.hpp                                             |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/image_layout_impl.hpp                                        |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/image_letterbox.hpp                                          |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/image_options.hpp                                            |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/image_resize_crop.hpp                                        |  161 +
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/imputation_methods/custom_imputation.hpp                     |   48 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/imputation_methods/listwise_deletion.hpp                     |   48 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/imputation_methods/mean_imputation.hpp                       |  157 +
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/imputation_methods/median_imputation.hpp                     |   89 -
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/imputer.hpp                                                  |   90 -
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/is_naninf.hpp                                                |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/load.hpp                                                     |  288 ---
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/load_arff.hpp                                                |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/load_arff_impl.hpp                                           |    6 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/load_categorical.hpp                                         |    5 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/load_categorical_impl.hpp                                    |   36 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/load_dense.hpp                                               |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/load_deprecated.hpp                                          |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/load_image.hpp                                               |  118 -
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/load_impl.hpp                                                |  369 +---
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/load_model.hpp                                               |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/load_numeric.hpp                                             |  211 +-
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/load_sparse.hpp                                              |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/map_policies/datatype.hpp                                    |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/map_policies/increment_policy.hpp                            |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/map_policies/map_policies.hpp                                |    1 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/matrix_options.hpp                                           |  172 +
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/normalize_labels.hpp                                         |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/normalize_labels_impl.hpp                                    |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/one_hot_encoding.hpp                                         |    6 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/one_hot_encoding_impl.hpp                                    |    8 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/save.hpp                                                     |  146 -
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/save_dense.hpp                                               |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/save_deprecated.hpp                                          |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/save_image.hpp                                               |  128 -
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/save_impl.hpp                                                |  303 ---
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/save_matrix.hpp                                              |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/save_model.hpp                                               |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/save_numeric.hpp                                             |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/save_sparse.hpp                                              |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/scaler_methods/max_abs_scaler.hpp                            |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/scaler_methods/mean_normalization.hpp                        |    6 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/scaler_methods/min_max_scaler.hpp                            |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/scaler_methods/pca_whitening.hpp                             |    4 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/scaler_methods/standard_scaler.hpp                           |    6 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/scaler_methods/zca_whitening.hpp                             |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/split_data.hpp                                               |   14 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/string_algorithms.hpp                                        |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/string_encoding.hpp                                          |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/string_encoding_dictionary.hpp                               |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/string_encoding_impl.hpp                                     |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/string_encoding_policies/bag_of_words_encoding_policy.hpp    |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/string_encoding_policies/dictionary_encoding_policy.hpp      |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/string_encoding_policies/policy_traits.hpp                   |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/string_encoding_policies/tf_idf_encoding_policy.hpp          |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/text_options.hpp                                             |  144 +
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/tokenizers/char_extract.hpp                                  |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/data/tokenizers/split_by_any_of.hpp                               |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/distributions/gamma_distribution_impl.hpp                         |    8 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/distributions/laplace_distribution.hpp                            |   18 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/distributions/laplace_distribution_impl.hpp                       |   14 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/hpt/cv_function.hpp                                               |    4 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/hpt/cv_function_impl.hpp                                          |    4 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/hpt/hpt.hpp                                                       |    8 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/hpt/hpt_impl.hpp                                                  |   18 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/math/make_alias.hpp                                               |   12 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/math/random.hpp                                                   |   24 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/math/shuffle_data.hpp                                             |  324 ---
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/metrics/non_maximal_suppression_impl.hpp                          |   19 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/stb/bundled/stb_image.h                                           |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/stb/bundled/stb_image_resize2.h                                   |  530 +++---
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/stb/bundled/stb_image_write.h                                     |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/tree/binary_space_tree/rp_tree_mean_split_impl.hpp                |   14 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/tree/cellbound.hpp                                                |    4 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/tree/cosine_tree/cosine_tree_impl.hpp                             |   20 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/tree/octree/octree.hpp                                            |   10 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/tree/octree/octree_impl.hpp                                       |   18 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/util/arma_traits.hpp                                              |   63 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/util/coot_traits.hpp                                              |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/util/forward.hpp                                                  |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/util/param.hpp                                                    |    8 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/util/params_impl.hpp                                              |    4 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/util/using.hpp                                                    |   31 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/util/version.hpp                                                  |    8 
 mlpack-4.7.0/mlpack/inst/include/mlpack/core/util/version_impl.hpp                                             |    9 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/adaboost/adaboost_classify_main.cpp                            |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/adaboost/adaboost_main.cpp                                     |    6 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/adaboost/adaboost_train_main.cpp                               |    4 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/activation_functions.hpp              |    1 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/bipolar_sigmoid_function.hpp          |   10 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/elish_function.hpp                    |   29 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/elliot_function.hpp                   |   16 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/gaussian_function.hpp                 |   13 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/gelu_exact_function.hpp               |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/gelu_function.hpp                     |   43 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/hard_sigmoid_function.hpp             |   14 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/hard_swish_function.hpp               |   10 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/hyper_sinh_function.hpp               |   21 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/identity_function.hpp                 |   10 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/inverse_quadratic_function.hpp        |   14 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/lisht_function.hpp                    |   12 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/logistic_function.hpp                 |   26 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/mish_function.hpp                     |   12 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/multi_quadratic_function.hpp          |   10 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/poisson1_function.hpp                 |    6 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/quadratic_function.hpp                |   10 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/rectifier_function.hpp                |   20 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/silu_function.hpp                     |   18 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/softplus_function.hpp                 |   21 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/softsign_function.hpp                 |   38 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/spline_function.hpp                   |   16 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/swish_function.hpp                    |   20 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/tanh_exponential_function.hpp         |   16 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/activation_functions/tanh_function.hpp                     |   17 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/ann.hpp                                                    |    3 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/convolution_rules/base_convolution.hpp                     |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/convolution_rules/convolution_rules.hpp                    |    3 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/convolution_rules/im2col_convolution.hpp                   |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/convolution_rules/naive_convolution.hpp                    |  263 +--
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/dag_network.hpp                                            |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/dag_network_impl.hpp                                       |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/dists/bernoulli_distribution_impl.hpp                      |    2 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/dists/normal_distribution_impl.hpp                         |    9 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/ffn.hpp                                                    |   42 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/ffn_impl.hpp                                               |   46 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/init_rules/const_init.hpp                                  |    8 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/init_rules/gaussian_init.hpp                               |    8 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/init_rules/he_init.hpp                                     |    6 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/init_rules/kathirvalavakumar_subavathi_init.hpp            |    6 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/init_rules/lecun_normal_init.hpp                           |    6 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/init_rules/nguyen_widrow_init.hpp                          |    4 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/init_rules/oivs_init.hpp                                   |    4 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/init_rules/orthogonal_init.hpp                             |    4 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/init_rules/random_init.hpp                                 |   12 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/adaptive_max_pooling.hpp                             |   44 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/adaptive_max_pooling_impl.hpp                        |   30 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/adaptive_mean_pooling.hpp                            |   44 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/adaptive_mean_pooling_impl.hpp                       |   32 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/add.hpp                                              |   36 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/add_impl.hpp                                         |   26 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/add_merge.hpp                                        |   37 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/add_merge_impl.hpp                                   |   26 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/alpha_dropout.hpp                                    |   33 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/alpha_dropout_impl.hpp                               |   27 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/base_layer.hpp                                       |   79 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/batch_norm.hpp                                       |   34 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/batch_norm_impl.hpp                                  |  109 -
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/c_relu.hpp                                           |   38 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/c_relu_impl.hpp                                      |   45 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/celu.hpp                                             |   33 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/celu_impl.hpp                                        |   59 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/concat.hpp                                           |   36 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/concat_impl.hpp                                      |   26 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/concatenate.hpp                                      |   36 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/concatenate_impl.hpp                                 |   28 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/convolution.hpp                                      |   93 -
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/convolution_impl.hpp                                 |  327 +--
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/dropconnect.hpp                                      |   38 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/dropconnect_impl.hpp                                 |   40 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/dropout.hpp                                          |   36 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/dropout_impl.hpp                                     |   35 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/elu.hpp                                              |   48 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/elu_impl.hpp                                         |   47 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/embedding.hpp                                        |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/embedding_impl.hpp                                   |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/flexible_relu.hpp                                    |   36 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/flexible_relu_impl.hpp                               |   40 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/ftswish.hpp                                          |   35 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/ftswish_impl.hpp                                     |   52 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/grouped_convolution.hpp                              |   60 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/grouped_convolution_impl.hpp                         |  333 +--
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/gru.hpp                                              |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/gru_impl.hpp                                         |only
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/hard_tanh.hpp                                        |   28 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/hard_tanh_impl.hpp                                   |   24 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/identity.hpp                                         |   39 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/identity_impl.hpp                                    |   24 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/layer.hpp                                            |   70 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/layer_norm.hpp                                       |   24 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/layer_norm_impl.hpp                                  |   32 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/layer_types.hpp                                      |    5 
 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/ann/layer/leaky_relu.hpp                                       |   43 
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 mlpack-4.7.0/mlpack/inst/include/mlpack/methods/cf/cf_model.hpp                                                |    2 
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 mlpack-4.7.0/mlpack/inst/include/mlpack/prereqs.hpp                                                            |    1 
 mlpack-4.7.0/mlpack/man/adaboost.Rd                                                                            |    2 
 mlpack-4.7.0/mlpack/man/approx_kfn.Rd                                                                          |    2 
 mlpack-4.7.0/mlpack/man/bayesian_linear_regression.Rd                                                          |    2 
 mlpack-4.7.0/mlpack/man/cf.Rd                                                                                  |    2 
 mlpack-4.7.0/mlpack/man/dbscan.Rd                                                                              |    2 
 mlpack-4.7.0/mlpack/man/decision_tree.Rd                                                                       |    2 
 mlpack-4.7.0/mlpack/man/det.Rd                                                                                 |    2 
 mlpack-4.7.0/mlpack/man/emst.Rd                                                                                |    2 
 mlpack-4.7.0/mlpack/man/fastmks.Rd                                                                             |    2 
 mlpack-4.7.0/mlpack/man/gmm_generate.Rd                                                                        |    2 
 mlpack-4.7.0/mlpack/man/gmm_probability.Rd                                                                     |    2 
 mlpack-4.7.0/mlpack/man/gmm_train.Rd                                                                           |    2 
 mlpack-4.7.0/mlpack/man/hmm_generate.Rd                                                                        |    2 
 mlpack-4.7.0/mlpack/man/hmm_loglik.Rd                                                                          |    2 
 mlpack-4.7.0/mlpack/man/hmm_train.Rd                                                                           |    2 
 mlpack-4.7.0/mlpack/man/hmm_viterbi.Rd                                                                         |    2 
 mlpack-4.7.0/mlpack/man/hoeffding_tree.Rd                                                                      |    2 
 mlpack-4.7.0/mlpack/man/image_converter.Rd                                                                     |    2 
 mlpack-4.7.0/mlpack/man/kde.Rd                                                                                 |    2 
 mlpack-4.7.0/mlpack/man/kernel_pca.Rd                                                                          |    2 
 mlpack-4.7.0/mlpack/man/kfn.Rd                                                                                 |    2 
 mlpack-4.7.0/mlpack/man/kmeans.Rd                                                                              |    2 
 mlpack-4.7.0/mlpack/man/knn.Rd                                                                                 |    2 
 mlpack-4.7.0/mlpack/man/krann.Rd                                                                               |    2 
 mlpack-4.7.0/mlpack/man/lars.Rd                                                                                |    2 
 mlpack-4.7.0/mlpack/man/linear_regression.Rd                                                                   |    2 
 mlpack-4.7.0/mlpack/man/linear_svm.Rd                                                                          |    2 
 mlpack-4.7.0/mlpack/man/lmnn.Rd                                                                                |    2 
 mlpack-4.7.0/mlpack/man/local_coordinate_coding.Rd                                                             |    2 
 mlpack-4.7.0/mlpack/man/logistic_regression.Rd                                                                 |    2 
 mlpack-4.7.0/mlpack/man/lsh.Rd                                                                                 |    2 
 mlpack-4.7.0/mlpack/man/mean_shift.Rd                                                                          |    2 
 mlpack-4.7.0/mlpack/man/nbc.Rd                                                                                 |    2 
 mlpack-4.7.0/mlpack/man/nca.Rd                                                                                 |    2 
 mlpack-4.7.0/mlpack/man/nmf.Rd                                                                                 |    2 
 mlpack-4.7.0/mlpack/man/pca.Rd                                                                                 |    2 
 mlpack-4.7.0/mlpack/man/perceptron.Rd                                                                          |    2 
 mlpack-4.7.0/mlpack/man/preprocess_binarize.Rd                                                                 |    2 
 mlpack-4.7.0/mlpack/man/preprocess_one_hot_encoding.Rd                                                         |    2 
 mlpack-4.7.0/mlpack/man/preprocess_scale.Rd                                                                    |    6 
 mlpack-4.7.0/mlpack/man/preprocess_split.Rd                                                                    |    2 
 mlpack-4.7.0/mlpack/man/radical.Rd                                                                             |    2 
 mlpack-4.7.0/mlpack/man/random_forest.Rd                                                                       |    2 
 mlpack-4.7.0/mlpack/man/softmax_regression.Rd                                                                  |    2 
 mlpack-4.7.0/mlpack/man/sparse_coding.Rd                                                                       |    2 
 mlpack-4.7.0/mlpack/man/test_r_binding.Rd                                                                      |    2 
 mlpack-4.7.0/mlpack/src/Makevars                                                                               |    4 
 mlpack-4.7.0/mlpack/src/mlpack/bindings/R/get_printable_param.hpp                                              |    8 
 mlpack-4.7.0/mlpack/src/mlpack/bindings/R/get_r_type.hpp                                                       |   30 
 mlpack-4.7.0/mlpack/src/mlpack/bindings/R/get_type.hpp                                                         |   32 
 mlpack-4.7.0/mlpack/src/mlpack/bindings/R/print_input_processing.hpp                                           |    8 
 mlpack-4.7.0/mlpack/src/mlpack/bindings/R/print_output_processing.hpp                                          |   10 
 mlpack-4.7.0/mlpack/src/mlpack/bindings/R/print_serialize_util.hpp                                             |    4 
 mlpack-4.7.0/mlpack/src/mlpack/bindings/R/tests/test_r_binding_main.cpp                                        |    6 
 mlpack-4.7.0/mlpack/src/r_util.cpp                                                                             |   22 
 mlpack-4.7.0/mlpack/tests/testthat/test-R_binding.R                                                            |    7 
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Package ife updated to version 0.2.3 with previous version 0.2.1 dated 2025-11-28

Title: Autodiff for Influence Function Based Estimates
Description: Implements an S7 class for estimates based on influence functions, with forward mode automatic differentiation defined for standard arithmetic operations.
Author: Nicholas Williams [aut, cre, cph]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>

Diff between ife versions 0.2.1 dated 2025-11-28 and 0.2.3 dated 2026-02-07

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Package gratia updated to version 0.11.2 with previous version 0.11.1 dated 2025-08-25

Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Description: Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Author: Gavin L. Simpson [aut, cre, cph] , Henrik Singmann [ctb]
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

Diff between gratia versions 0.11.1 dated 2025-08-25 and 0.11.2 dated 2026-02-07

 gratia-0.11.1/gratia/R/diagnose.R                                                                           |only
 gratia-0.11.2/gratia/DESCRIPTION                                                                            |   18 
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 gratia-0.11.2/gratia/NAMESPACE                                                                              |   10 
 gratia-0.11.2/gratia/NEWS.md                                                                                |   44 
 gratia-0.11.2/gratia/R/appraise.R                                                                           |only
 gratia-0.11.2/gratia/R/assemble.R                                                                           |   50 
 gratia-0.11.2/gratia/R/basis-funs.R                                                                         |    3 
 gratia-0.11.2/gratia/R/conditional-values.R                                                                 |    2 
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 gratia-0.11.2/gratia/R/draw-methods.R                                                                       |   76 
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 gratia-0.11.2/gratia/R/posterior-samples.R                                                                  |   12 
 gratia-0.11.2/gratia/R/smooth-estimates.R                                                                   | 1491 ----
 gratia-0.11.2/gratia/R/too_far.R                                                                            |   18 
 gratia-0.11.2/gratia/R/utililties.R                                                                         |  223 
 gratia-0.11.2/gratia/build/partial.rdb                                                                      |binary
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 gratia-0.11.2/gratia/man/model_constant.Rd                                                                  |    5 
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 gratia-0.11.2/gratia/man/model_vars.Rd                                                                      |    2 
 gratia-0.11.2/gratia/man/observed_fitted_plot.Rd                                                            |    4 
 gratia-0.11.2/gratia/man/qq_plot.Rd                                                                         |    4 
 gratia-0.11.2/gratia/man/residuals_hist_plot.Rd                                                             |    2 
 gratia-0.11.2/gratia/man/residuals_linpred_plot.Rd                                                          |    4 
 gratia-0.11.2/gratia/man/response_derivatives.Rd                                                            |    4 
 gratia-0.11.2/gratia/man/smooths.Rd                                                                         |    3 
 gratia-0.11.2/gratia/man/worm_plot.Rd                                                                       |    4 
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Package edgemodelr updated to version 0.1.6 with previous version 0.1.5 dated 2026-01-28

Title: Local Large Language Model Inference Engine
Description: Enables R users to run large language models locally using 'GGUF' model files and the 'llama.cpp' inference engine. Provides a complete R interface for loading models, generating text completions, and streaming responses in real-time. Supports local inference without requiring cloud APIs or internet connectivity, ensuring complete data privacy and control. Based on the 'llama.cpp' project by Georgi Gerganov (2023) <https://github.com/ggml-org/llama.cpp>.
Author: Pawan Rama Mali [aut, cre, cph], Georgi Gerganov [aut, cph] , The ggml authors [cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , pi6am [ctb] , Ivan Yurchenko [ctb] , Dirk Eddelbuettel [ctb, rev]
Maintainer: Pawan Rama Mali <prm@outlook.in>

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Package dwp updated to version 1.2 with previous version 1.1 dated 2023-07-01

Title: Density-Weighted Proportion
Description: Fit a Poisson regression to carcass distance data and integrate over the searched area at a wind farm to estimate the fraction of carcasses falling in the searched area and format the output for use as the dwp parameter in the 'GenEst' or 'eoa' package for estimating bird and bat mortality, following Dalthorp, et al. (2024) <doi:10.3133/tm7A3>.
Author: Daniel Dalthorp [aut, cre], Manuela Huso [aut]
Maintainer: Daniel Dalthorp <ddalthorp@protonmail.com>

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Package cisp updated to version 0.2.0 with previous version 0.1.0 dated 2024-11-21

Title: A Correlation Indicator Based on Spatial Patterns
Description: Utilizes spatial association marginal contributions derived from spatial stratified heterogeneity to capture the degree of correlation between spatial patterns.
Author: Wenbo Lv [aut, cre, cph] , Yongze Song [aut] , Rui Qu [aut] , Wufan Zhao [aut] , Nan Jia [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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Package bootnet updated to version 1.7.1 with previous version 1.6 dated 2024-02-21

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]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package bibliorefer updated to version 0.1.3 with previous version 0.1.2 dated 2025-10-31

Title: Generator of Main Scientific References
Description: Generates a list, with a size defined by the user, containing the main scientific references and the frequency distribution of authors and journals in the list obtained. The database is a dataframe with academic production metadata made available by bibliographic collections such as Scopus, Web of Science, etc. The temporal evolution of scientific production on a given topic is presented and ordered lists of articles are constructed by number of citations and of authors and journals by level of productivity. 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>.
Author: Marcio Eustaquio [aut, cre]
Maintainer: Marcio Eustaquio <marcioeustaquio@id.uff.br>

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Package bcdata updated to version 0.5.2 with previous version 0.5.1 dated 2025-03-26

Title: Search and Retrieve Data from the BC Data Catalogue
Description: Search, query, and download tabular and 'geospatial' data from the British Columbia Data Catalogue (<https://catalogue.data.gov.bc.ca/>). Search catalogue data records based on keywords, data licence, sector, data format, and B.C. government organization. View metadata directly in R, download many data formats, and query 'geospatial' data available via the B.C. government Web Feature Service ('WFS') using 'dplyr' syntax.
Author: Andy Teucher [aut, cre] , Sam Albers [aut, ctb] , Stephanie Hazlitt [aut, ctb] , Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gmail.com>

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Package arrow updated to version 23.0.0.1 with previous version 23.0.0 dated 2026-01-23

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut, cre], Bryce Mecum [aut], DragoČ™ Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Jacob Wujciak-Jens [aut], Javier Luraschi [ctb], [...truncated...]
Maintainer: Jonathan Keane <jkeane@gmail.com>

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