Sun, 01 Mar 2026

Package osqp updated to version 1.0.0 with previous version 0.6.3.3 dated 2024-06-08

Title: Quadratic Programming Solver using the 'OSQP' Library
Description: Provides bindings to the 'OSQP' solver. The 'OSQP' solver is a numerical optimization package for solving convex quadratic programs written in 'C' and based on the alternating direction method of multipliers. See <doi:10.48550/arXiv.1711.08013> for details.
Author: Bartolomeo Stellato [aut, ctb, cph], Goran Banjac [aut, ctb, cph], Paul Goulart [aut, ctb, cph], Stephen Boyd [aut, ctb, cph], Eric Anderson [ctb], Vineet Bansal [aut, ctb], Balasubramanian Narasimhan [cre, aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

Diff between osqp versions 0.6.3.3 dated 2024-06-08 and 1.0.0 dated 2026-03-01

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Package NumericEnsembles updated to version 1.0.5 with previous version 1.0.3 dated 2026-02-26

Title: Automatically Runs 18 Individual and 14 Ensembles of Models
Description: Automatically runs 18 individual models and 14 ensembles on numeric data, for a total of 32 models. The package automatically returns complete results on all 32 models, 25 charts and six tables. The user simply provides the tidy data, and answers a few questions (for example, how many times would you like to resample the data). From there the package randomly splits the data into train, test and validation sets as the user requests (for example, train = 0.60, test = 0.20, validation = 0.20), fits each of models on the training data, makes predictions on the test and validation sets, measures root mean squared error (RMSE), removes features above a user-set level of Variance Inflation Factor, and has several optional features including scaling all numeric data, four different ways to handle strings in the data. Perhaps the most significant feature is the package's ability to make predictions using the 32 pre trained models on totally new (untrained) data if the user selects that feature [...truncated...]
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>

Diff between NumericEnsembles versions 1.0.3 dated 2026-02-26 and 1.0.5 dated 2026-03-01

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Package bclogit updated to version 1.1 with previous version 1.0 dated 2026-02-25

Title: Conditional Logistic Regression
Description: Performs inference for Bayesian conditional logistic regression with informative priors built from the concordant pair data. We include many options to build the priors. And we include many options during the inference step for estimation, testing and confidence set creation. For details, see Kapelner and Tennenbaum (2026) "Improved Conditional Logistic Regression using Information in Concordant Pairs with Software" <doi:10.48550/arXiv.2602.08212>.
Author: Adam Kapelner [aut, cre] , Jacob Tennenbaum [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

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Package airnow readmission to version 0.1.1 with previous version 0.1.0 dated 2022-10-31

Title: Retrieve 'AirNow' Air Quality Observations and Forecasts
Description: Retrieve air quality data via the 'AirNow' <https://www.airnow.gov/> API.
Author: Brian Connelly [aut, cre, cph]
Maintainer: Brian Connelly <bdc@bconnelly.net>

This is a re-admission after prior archival of version 0.1.0 dated 2022-10-31

Diff between airnow versions 0.1.0 dated 2022-10-31 and 0.1.1 dated 2026-03-01

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Package altdoc (with last version 0.7.1) was removed from CRAN

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

2026-02-17 0.7.1
2025-10-30 0.7.0
2025-09-19 0.6.0
2025-01-23 0.5.0
2024-07-23 0.4.0
2024-02-21 0.3.0
2023-11-07 0.2.2
2023-06-08 0.2.1
2023-05-26 0.2.0

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Package supernova updated to version 3.0.2 with previous version 3.0.1 dated 2025-12-05

Title: Judd, McClelland, & Ryan Formatting for ANOVA Output
Description: Produces ANOVA tables in the format used by Judd, McClelland, and Ryan (2017, ISBN: 978-1138819832) in their introductory textbook, Data Analysis. This includes proportional reduction in error and formatting to improve ease the transition between the book and R.
Author: Adam Blake [cre, aut] , Jeff Chrabaszcz [aut], Ji Son [aut] , Jim Stigler [aut]
Maintainer: Adam Blake <adam@coursekata.org>

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Package pomdpSolve updated to version 1.0.6 with previous version 1.0.4 dated 2023-08-31

Title: Interface to 'pomdp-solve' for Partially Observable Markov Decision Processes
Description: Installs an updated version of 'pomdp-solve' and provides a low-level interface. Pomdp-solve is a program to solve Partially Observable Markov Decision Processes (POMDPs) using a variety of exact and approximate value iteration algorithms. A convenient R infrastructure is provided in the separate package pomdp. Hahsler and Cassandra <doi:10.32614/RJ-2024-021>.
Author: Michael Hahsler [aut, cph, cre] , Anthony R. Cassandra [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between pomdpSolve versions 1.0.4 dated 2023-08-31 and 1.0.6 dated 2026-03-01

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Package mlrMBO updated to version 1.1.6 with previous version 1.1.5.1 dated 2022-07-04

Title: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions
Description: Flexible and comprehensive R toolbox for model-based optimization ('MBO'), also known as Bayesian optimization. It implements the Efficient Global Optimization Algorithm and is designed for both single- and multi- objective optimization with mixed continuous, categorical and conditional parameters. The machine learning toolbox 'mlr' provide dozens of regression learners to model the performance of the target algorithm with respect to the parameter settings. It provides many different infill criteria to guide the search process. Additional features include multi-point batch proposal, parallel execution as well as visualization and sophisticated logging mechanisms, which is especially useful for teaching and understanding of algorithm behavior. 'mlrMBO' is implemented in a modular fashion, such that single components can be easily replaced or adapted by the user for specific use cases.
Author: Bernd Bischl [aut] , Jakob Richter [aut] , Jakob Bossek [aut] , Daniel Horn [aut], Michel Lang [aut] , Janek Thomas [aut] , Martin Binder [cre]
Maintainer: Martin Binder <mlr.developer@mb706.com>

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Package mlr3pipelines updated to version 0.11.0 with previous version 0.10.0 dated 2025-11-07

Title: Preprocessing Operators and Pipelines for 'mlr3'
Description: Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.
Author: Martin Binder [aut, cre], Florian Pfisterer [aut] , Lennart Schneider [aut] , Bernd Bischl [aut] , Michel Lang [aut] , Sebastian Fischer [aut] , Susanne Dandl [aut], Keno Mersmann [ctb], Maximilian Muecke [ctb] , Lona Koers [ctb], Alexander Winterstet [...truncated...]
Maintainer: Martin Binder <mlr.developer@mb706.com>

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Package clarabel updated to version 0.11.2 with previous version 0.11.1 dated 2025-09-24

Title: Interior Point Conic Optimization Solver
Description: A versatile interior point solver that solves linear programs (LPs), quadratic programs (QPs), second-order cone programs (SOCPs), semidefinite programs (SDPs), and problems with exponential and power cone constraints (<https://clarabel.org/stable/>). For quadratic objectives, unlike interior point solvers based on the standard homogeneous self-dual embedding (HSDE) model, Clarabel handles quadratic objective without requiring any epigraphical reformulation of its objective function. It can therefore be significantly faster than other HSDE-based solvers for problems with quadratic objective functions. Infeasible problems are detected using using a homogeneous embedding technique.
Author: Balasubramanian Narasimhan [aut, cre], Paul Goulart [aut, cph], Yuwen Chen [aut], Hiroaki Yutani [ctb] , David Zimmermann-Kollenda [ctb] , The authors of the dependency Rust crates [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

Diff between clarabel versions 0.11.1 dated 2025-09-24 and 0.11.2 dated 2026-03-01

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 41 files changed, 1035 insertions(+), 330 deletions(-)

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Package blackbox updated to version 1.1.54 with previous version 1.1.46 dated 2023-12-07

Title: Black Box Optimization and Exploration of Parameter Space
Description: Performs prediction of a response function from simulated response values, allowing black-box optimization of functions estimated with some error. Includes a simple user interface for such applications, as well as more specialized functions designed to be called by the Migraine software (Rousset and Leblois, 2012 <doi:10.1093/molbev/MSR262>; Leblois et al., 2014 <doi:10.1093/molbev/msu212>; and see URL). The latter functions are used for prediction of likelihood surfaces and implied likelihood ratio confidence intervals, and for exploration of predictor space of the surface. Prediction of the response is based on ordinary Kriging (with residual error) of the input. Estimation of smoothing parameters is performed by generalized cross-validation.
Author: Francois Rousset [aut, cre, cph] , Raphael Leblois [ctb]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

Diff between blackbox versions 1.1.46 dated 2023-12-07 and 1.1.54 dated 2026-03-01

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Package autograph updated to version 0.6.0 with previous version 0.5.0 dated 2025-11-19

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

Diff between autograph versions 0.5.0 dated 2025-11-19 and 0.6.0 dated 2026-03-01

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 28 files changed, 572 insertions(+), 198 deletions(-)

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