Sat, 13 Dec 2025

Package SHAPforxgboost updated to version 0.2.0 with previous version 0.1.3 dated 2023-05-29

Title: SHAP Plots for 'XGBoost'
Description: Aid in visual data investigations using SHAP (SHapley Additive exPlanation) visualization plots for 'XGBoost' and 'LightGBM'. It provides summary plot, dependence plot, interaction plot, and force plot and relies on the SHAP implementation provided by 'XGBoost' and 'LightGBM'.
Author: Yang Liu [aut, cre] , Allan Just [aut, ctb] , Michael Mayer [ctb]
Maintainer: Yang Liu <lyhello@gmail.com>

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Package pakret updated to version 0.3.0 with previous version 0.2.2 dated 2024-10-23

Title: Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto'
Description: References and cites 'R' and 'R' packages on the fly in 'R Markdown' and 'Quarto'. 'pakret' provides a minimalist API that generates preformatted citations for 'R' and 'R' packages, and adds their references to a '.bib' file directly from within your document.
Author: Arnaud Gallou [aut, cre, cph]
Maintainer: Arnaud Gallou <arangacas@gmail.com>

Diff between pakret versions 0.2.2 dated 2024-10-23 and 0.3.0 dated 2025-12-13

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Package sparvaride updated to version 1.0.0 with previous version 0.1.0 dated 2023-03-13

Title: Variance Identification in Sparse Factor Analysis
Description: This is an implementation of the algorithm described in Section 3 of Hosszejni and Frühwirth-Schnatter (2026) <doi:10.1016/j.jmva.2025.105536>. The algorithm is used to verify that the counting rule CR(r,1) holds for the sparsity pattern of the transpose of a factor loading matrix. As detailed in Section 2 of the same paper, if CR(r,1) holds, then the idiosyncratic variances are generically identified. If CR(r,1) does not hold, then we do not know whether the idiosyncratic variances are identified or not.
Author: Darjus Hosszejni [aut, cre] , Sylvia Fruehwirth-Schnatter [ths]
Maintainer: Darjus Hosszejni <darjus.hosszejni@wu.ac.at>

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Package Sim.DiffProc updated to version 5.0 with previous version 4.9 dated 2024-03-05

Title: Simulation of Diffusion Processes
Description: It provides users with a wide range of tools to simulate, estimate, analyze, and visualize the dynamics of stochastic differential systems in both forms Ito and Stratonovich. Statistical analysis with parallel Monte Carlo and moment equations methods of SDEs <doi:10.18637/jss.v096.i02>. Enabled many searchers in different domains to use these equations to modeling practical problems in financial and actuarial modeling and other areas of application, e.g., modeling and simulate of first passage time problem in shallow water using the attractive center (Boukhetala K, 1996) ISBN:1-56252-342-2.
Author: Arsalane Chouaib Guidoum [cre, aut] , Kamal Boukhetala [aut]
Maintainer: Arsalane Chouaib Guidoum <acguidoum@univ-tam.dz>

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Package nvctr updated to version 0.1.7 with previous version 0.1.4 dated 2020-10-28

Title: The n-vector Approach to Geographical Position Calculations using an Ellipsoidal Model of Earth
Description: The n-vector framework uses the normal vector to the Earth ellipsoid (called n-vector) as a non-singular position representation that turns out to be very convenient for practical position calculations. The n-vector is simple to use and gives exact answers for all global positions, and all distances, for both ellipsoidal and spherical Earth models. This package is a translation of the 'Matlab' library from FFI, the Norwegian Defence Research Establishment, as described in Gade (2010) <doi:10.1017/S0373463309990415>.
Author: Enrico Spinielli [aut, cre] , EUROCONTROL [cph, fnd]
Maintainer: Enrico Spinielli <enrico.spinielli@eurocontrol.int>

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Package estadistica updated to version 1.2 with previous version 1.0 dated 2025-10-14

Title: Fundamentos de estadística descriptiva e inferencial
Description: Este paquete pretende apoyar el proceso enseñanza-aprendizaje de estadística descriptiva e inferencial. Las funciones contenidas en el paquete 'estadistica' cubren los conceptos básicos estudiados en un curso introductorio. Muchos conceptos son ilustrados con gráficos dinámicos o web apps para facilitar su comprensión. This package aims to help the teaching-learning process of descriptive and inferential statistics. The functions contained in the package 'estadistica' cover the basic concepts studied in a statistics introductory course. Many concepts are illustrated with dynamic graphs or web apps to make the understanding easier. See: Esteban et al. (2005, ISBN: 9788497323741), Newbold et al.(2019, ISBN:9781292315034 ), Murgui et al. (2002, ISBN:9788484424673) .
Author: Vicente Coll-Serrano [aut, cre], Rosario Martinez Verdu [aut]
Maintainer: Vicente Coll-Serrano <estadistic@uv.es>

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Package brickster updated to version 0.2.11 with previous version 0.2.9 dated 2025-09-04

Title: R Toolkit for 'Databricks'
Description: Collection of utilities that improve using 'Databricks' from R. Primarily functions that wrap specific 'Databricks' APIs (<https://docs.databricks.com/api>), 'RStudio' connection pane support, quality of life functions to make 'Databricks' simpler to use.
Author: Zac Davies [aut, cre], Rafi Kurlansik [aut], Databricks [cph, fnd]
Maintainer: Zac Davies <zac@databricks.com>

Diff between brickster versions 0.2.9 dated 2025-09-04 and 0.2.11 dated 2025-12-13

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Package model4you (with last version 0.9-8) was removed from CRAN

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

2024-11-08 0.9-8
2021-01-20 0.9-7
2020-11-25 0.9-6
2020-02-19 0.9-5

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Package CPAT (with last version 0.1.0) was removed from CRAN

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2018-12-25 0.1.0

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Package tidybins (with last version 0.1.1) was removed from CRAN

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

2024-06-12 0.1.1
2021-10-14 0.1.0

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Package kerastuneR (with last version 0.1.0.7) was removed from CRAN

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2024-04-13 0.1.0.7
2023-09-03 0.1.0.6
2022-03-25 0.1.0.5
2022-01-10 0.1.0.4
2020-10-04 0.1.0.3
2020-05-14 0.1.0.2
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Package zipangu (with last version 0.3.3) was removed from CRAN

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2024-11-07 0.3.3
2022-12-09 0.3.2
2022-08-31 0.3.1
2022-03-11 0.3.0
2021-02-07 0.2.3
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2020-07-07 0.2.1
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Package stoRy (with last version 0.2.2) was removed from CRAN

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2023-06-13 0.2.2
2023-04-09 0.2.1
2021-11-08 0.2.0
2020-06-11 0.1.5
2020-04-30 0.1.4
2019-07-09 0.1.3
2018-02-25 0.1.2
2017-07-14 0.1.1
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Package phenofit (with last version 0.3.10) was removed from CRAN

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2025-05-25 0.3.10
2024-01-23 0.3.9
2023-02-15 0.3.8
2022-11-07 0.3.7
2022-11-03 0.3.6
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Package casino (with last version 0.1.0) was removed from CRAN

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2019-01-17 0.1.0

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Package mskcc.oncotree (with last version 0.1.1) was removed from CRAN

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2022-10-11 0.1.1
2022-04-21 0.1.0

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Package quincunx (with last version 0.1.10) was removed from CRAN

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2025-05-31 0.1.10
2025-03-20 0.1.9
2023-07-04 0.1.7
2022-08-14 0.1.5
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Package mlr3learners updated to version 0.14.0 with previous version 0.13.0 dated 2025-10-02

Title: Recommended Learners for 'mlr3'
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
Author: Michel Lang [aut] , Quay Au [aut] , Stefan Coors [aut] , Patrick Schratz [aut] , Marc Becker [cre, aut] , John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package rACMEMEEV updated to version 1.0.1 with previous version 1.0.0 dated 2025-12-12

Title: Multi-Variate Measurement Error Adjustment
Description: A methodology to perform multivariate measurement error adjustment using external validation data. Allows users to remove the attenuating effect of measurement error by incorporating a distribution of external validation data, and allows for plotting of all resultant adjustments. Sensitivity analyses can also be run through this package to test how different ranges of validity coefficients can impact the effect of the measurement error adjustment. The methods implemented in this package are based on the work by Muoka, A., Agogo, G., Ngesa, O., Mwambi, H. (2020): <doi:10.12688/f1000research.27892.1>.
Author: Alexander Lee [aut, cre, cph]
Maintainer: Alexander Lee <westford14@gmail.com>

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Package ring updated to version 1.0.8 with previous version 1.0.6 dated 2024-09-06

Title: Circular / Ring Buffers
Description: Circular / ring buffers in R and C. There are a couple of different buffers here with different implementations that represent different trade-offs.
Author: Rich FitzJohn [aut, cre], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

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Package ggfittext updated to version 0.10.3 with previous version 0.10.2 dated 2024-01-31

Title: Fit Text Inside a Box in 'ggplot2'
Description: A 'ggplot2' extension to fit text into a box by growing, shrinking or wrapping the text.
Author: David Wilkins [aut, cre], Brady Johnston [ctb]
Maintainer: David Wilkins <david@wilkox.org>

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Package cifmodeling updated to version 0.9.6 with previous version 0.9.4 dated 2025-12-04

Title: Visualization and Polytomous Modeling of Survival and Competing Risks
Description: A publication-ready toolkit for modern survival and competing risks analysis with a minimal, formula-based interface. Both nonparametric estimation and direct polytomous regression of cumulative incidence functions (CIFs) are supported. The main functions 'cifcurve()', 'cifplot()', and 'cifpanel()' estimate survival and CIF curves and produce high-quality graphics with risk tables, censoring and competing-risk marks, and multi-panel or inset layouts built on 'ggplot2' and 'ggsurvfit'. The modeling function 'polyreg()' performs direct polytomous regression for coherent joint modeling of all cause-specific CIFs to estimate risk ratios, odds ratios, or subdistribution hazard ratios at user-specified time points. All core functions adopt a formula-and-data syntax and return tidy and extensible outputs that integrate smoothly with 'modelsummary', 'broom', and the broader 'tidyverse' ecosystem. Key numerical routines are implemented in C++ via 'Rcpp'.
Author: Shiro Tanaka [aut, cre, cph] , Shigetaka Kobari [ctb], Chisato Honda [ctb]
Maintainer: Shiro Tanaka <gestimation@gmail.com>

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Package automatedRecLin updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-18

Title: Record Linkage Based on an Entropy-Maximizing Classifier
Description: The goal of 'automatedRecLin' is to perform record linkage (also known as entity resolution) in unsupervised or supervised settings. It compares pairs of records from two datasets using selected comparison functions to estimate the probability or density ratio between matched and non-matched records. Based on these estimates, it predicts a set of matches that maximizes entropy. For details see: Lee et al. (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022001/article/00007-eng.htm>, Vo et al. (2023) <https://ideas.repec.org/a/eee/csdana/v179y2023ics0167947322002365.html>, Sugiyama et al. (2008) <doi:10.1007/s10463-008-0197-x>.
Author: Adam Struzik [aut, cre], Maciej Beresewicz [aut, ctb]
Maintainer: Adam Struzik <adastr5@st.amu.edu.pl>

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Package vetiver updated to version 0.2.7 with previous version 0.2.6 dated 2025-10-28

Title: Version, Share, Deploy, and Monitor Models
Description: The goal of 'vetiver' is to provide fluent tooling to version, share, deploy, and monitor a trained model. Functions handle both recording and checking the model's input data prototype, and predicting from a remote API endpoint. The 'vetiver' package is extensible, with generics that can support many kinds of models.
Author: Julia Silge [cre, aut] , Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>

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Package tidypredict updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-29

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
Author: Emil Hvitfeldt [aut, cre], Edgar Ruiz [aut], Max Kuhn [aut]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package rde updated to version 0.1.1 with previous version 0.1.0 dated 2018-07-02

Title: Reproducible Data Embedding
Description: Allows caching of raw data directly in R code. This allows R scripts and R Notebooks to be shared and re-run on a machine without access to the original data. Cached data is encoded into an ASCII string that can be pasted into R code. When the code is run, the data is automatically loaded from the cached version if the original data file is unavailable. Works best for small datasets (a few hundred observations).
Author: Stefan Kloppenborg [aut, cre]
Maintainer: Stefan Kloppenborg <stefan@kloppenborg.ca>

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Package plumber updated to version 1.3.1 with previous version 1.3.0 dated 2025-02-19

Title: An API Generator for R
Description: Gives the ability to automatically generate and serve an HTTP API from R functions using the annotations in the R documentation around your functions.
Author: Barret Schloerke [cre, aut] , Jeff Allen [aut, ccp], Bruno Tremblay [ctb], Frans van Dunne [ctb], Sebastiaan Vandewoude [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Barret Schloerke <barret@posit.co>

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Package nimble updated to version 1.4.0 with previous version 1.3.0 dated 2024-12-17

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, Laplace Approximation, deterministic nested approximations, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic al [...truncated...]
Author: Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] , Abel Rodriguez [aut] , Duncan Temple Lang [aut] , Wei Zhang [aut] , [...truncated...]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between nimble versions 1.3.0 dated 2024-12-17 and 1.4.0 dated 2025-12-13

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 nimble-1.4.0/nimble/LICENSE                                                 |    2 
 nimble-1.4.0/nimble/MD5                                                     |  295 +--
 nimble-1.4.0/nimble/NAMESPACE                                               |   20 
 nimble-1.4.0/nimble/R/BNP_distributions.R                                   |    2 
 nimble-1.4.0/nimble/R/BNP_samplers.R                                        |   24 
 nimble-1.4.0/nimble/R/BUGS_BUGSdecl.R                                       |    5 
 nimble-1.4.0/nimble/R/BUGS_macros.R                                         |    5 
 nimble-1.4.0/nimble/R/BUGS_model.R                                          |   10 
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 nimble-1.4.0/nimble/R/MCEM_build.R                                          |  161 +
 nimble-1.4.0/nimble/R/MCMC_WAIC.R                                           |    2 
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 nimble-1.4.0/nimble/R/MCMC_configuration.R                                  |  450 +++-
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 nimble-1.4.0/nimble/R/zzz.R                                                 |    6 
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 nimble-1.4.0/nimble/inst/include/nimble/Utils.h                             |   54 
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 nimble-1.4.0/nimble/tests/testthat/test-user.R                              |   19 
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 160 files changed, 6440 insertions(+), 3049 deletions(-)

More information about nimble at CRAN
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Package did updated to version 2.3.0 with previous version 2.1.2 dated 2022-07-20

Title: Treatment Effects with Multiple Periods and Groups
Description: The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group. Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time. This package contains tools for computing average treatment effect parameters in Difference in Differences setups with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>. The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a a particular time. These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these. There are also functions for testing the Difference in Differences assumpti [...truncated...]
Author: Brantly Callaway [aut, cre], Pedro H. C. Sant'Anna [aut]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

Diff between did versions 2.1.2 dated 2022-07-20 and 2.3.0 dated 2025-12-13

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 did-2.3.0/did/DESCRIPTION                                                                    |   17 
 did-2.3.0/did/MD5                                                                            |  174 
 did-2.3.0/did/NAMESPACE                                                                      |   13 
 did-2.3.0/did/NEWS.md                                                                        |   70 
 did-2.3.0/did/R/DIDparams.R                                                                  |    2 
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 did-2.3.0/did/R/aggte.R                                                                      |  247 -
 did-2.3.0/did/R/att_gt.R                                                                     |  758 +--
 did-2.3.0/did/R/compute.aggte.R                                                              | 1317 ++---
 did-2.3.0/did/R/compute.att_gt.R                                                             |  298 -
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 did-2.3.0/did/R/gplot.R                                                                      |    8 
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Fri, 12 Dec 2025

Package TFORGE updated to version 0.1.16 with previous version 0.1.15 dated 2025-12-05

Title: Tests for Geophysical Eigenvalues
Description: The eigenvalues of observed symmetric matrices are often of intense scientific interest. This package offers single sample tests for the eigenvalues of the population mean or the eigenvalue-multiplicity of the population mean. For k-samples, this package offers tests for equal eigenvalues between samples. Included is support for matrices with constraints common to geophysical tensors (constant trace, sum of squared eigenvalues, or both) and eigenvectors are usually considered nuisance parameters. Pivotal bootstrap methods enable these tests to have good performance for small samples (n=15 for 3x3 matrices). These methods were developed and studied by Hingee, Scealy and Wood (2026, "Nonparametric bootstrap inference for the eigenvalues of geophysical tensors", accepted by the Journal of American Statistical Association). Also available is a 2-sample test using a Gaussian orthogonal ensemble approximation and an eigenvalue-multiplicity test that assumes orthogonally-invariant covariance.
Author: Kassel Liam Hingee [aut, cre] , Art B. Owen [cph] , Board of Trustees Leland Stanford Junior University [cph]
Maintainer: Kassel Liam Hingee <kassel.hingee@anu.edu.au>

Diff between TFORGE versions 0.1.15 dated 2025-12-05 and 0.1.16 dated 2025-12-12

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Package evabic updated to version 0.1.4 with previous version 0.1.1 dated 2022-08-17

Title: Evaluation of Binary Classifiers
Description: Evaluates the performance of binary classifiers. Computes confusion measures (TP, TN, FP, FN), derived measures (TPR, FDR, accuracy, F1, DOR, ..), and area under the curve. Outputs are well suited for nested dataframes.
Author: Antoine Bichat [aut, cre]
Maintainer: Antoine Bichat <antoine.bichat@proton.me>

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Package xgb2sql updated to version 0.1.3 with previous version 0.1.2 dated 2019-03-13

Title: Convert Trained 'XGBoost' Model to SQL Query
Description: This tool enables in-database scoring of 'XGBoost' models built in R, by translating trained model objects into SQL query. 'XGBoost' <https://github.com/dmlc/xgboost> provides parallel tree boosting (also known as gradient boosting machine, or GBM) algorithms in a highly efficient, flexible and portable way. GBM algorithm is introduced by Friedman (2001) <doi:10.1214/aos/1013203451>, and more details on 'XGBoost' can be found in Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.
Author: Chengjun Hou [aut, cre], Abhishek Bishoyi [aut]
Maintainer: Chengjun Hou <chengjun.hou@gmail.com>

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New package ume with initial version 1.5.2
Package: ume
Title: Ultrahigh-Resolution Mass Spectrometry Data Evaluation for Complex Organic Matter
Version: 1.5.2
Description: Provides tools for assigning molecular formulas from exact masses obtained by ultrahigh-resolution mass spectrometry. The methodology follows the workflow described in Leefmann et al. (2019) <doi:10.1002/rcm.8315>. The package supports the inspection, filtering and visualization of molecular formula data and includes utilities for calculating common molecular parameters (e.g., double bond equivalents, DBE). A graphical user interface is available via the 'shiny'-based 'ume' application.
URL: https://gitlab.awi.de/bkoch/ume, https://ume.awi.de/, https://www.awi.de/en/ume
Depends: R (>= 4.2.0)
Imports: data.table, ggplot2, plotly, vegan, viridis
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: rmarkdown, pander, knitr, testthat (>= 3.0.0), xml2, pdftools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-08 08:48:16 UTC; bkoch
Author: Boris Koch [aut, cre] , Tim Leefmann [ctb], Fabian Moye [ctb]
Maintainer: Boris Koch <boris.koch@awi.de>
Repository: CRAN
Date/Publication: 2025-12-12 21:30:02 UTC

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New package tsforecast with initial version 1.1.0
Package: tsforecast
Title: Time Series Forecasting Functions
Version: 1.1.0
Date: 2025-12-08
Maintainer: Ka Yui Karl Wu <karlwuky@suss.edu.sg>
Language: en-GB
Description: Fundamental time series forecasting models such as autoregressive integrated moving average (ARIMA), exponential smoothing, and simple moving average are included. For ARIMA models, the output follows the traditional parameterisation by Box and Jenkins (1970, ISBN: 0816210942, 9780816210947). Furthermore, there are functions for detailed time series exploration and decomposition, respectively. All data and result visualisations are generated by 'ggplot2' instead of conventional R graphical output. For more details regarding the theoretical background of the models see Hyndman, R.J. and Athanasopoulos, G. (2021) <https://otexts.com/fpp3/>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ggplot2, lubridate, forecast, tseries, scales
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-08 07:41:27 UTC; kykar
Author: Ka Yui Karl Wu [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-12 21:20:02 UTC

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New package rACMEMEEV with initial version 1.0.0
Package: rACMEMEEV
Title: Multi-Variate Measurement Error Adjustment
Version: 1.0.0
Description: A methodology to perform multivariate measurement error adjustment using external validation data. Allows users to remove the attenuating effect of measurement error by incorporating a distribution of external validation data, and allows for plotting of all resultant adjustments. Sensitivity analyses can also be run through this package to test how different ranges of validity coefficients can impact the effect of the measurement error adjustment. The methods implemented in this package are based on the work by Muoka, A., Agogo, G., Ngesa, O., Mwambi, H. (2020): <doi:10.12688/f1000research.27892.1>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), BH, glmnet
Imports: rjags, MCMCpack, ggplot2, reshape2, rstan, stats, utils, ggpubr, patchwork, bayesplot, doSNOW, foreach, snow, parallelly, dplyr
VignetteBuilder: knitr
URL: https://github.com/westford14/rACME-MEEV
BugReports: https://github.com/westford14/rACME-MEEV/issues
NeedsCompilation: no
Packaged: 2025-12-08 09:18:25 UTC; westford14
Author: Alexander Lee [aut, cre, cph]
Maintainer: Alexander Lee <westford14@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-12 21:30:13 UTC

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New package MixFrac with initial version 1.0
Package: MixFrac
Title: Fractional Factorial Designs with Alias and Trend-Free Analysis
Version: 1.0
Description: Constructs mixed-level and regular fractional factorial designs using coordinate-exchange optimization and automatic generator search. Design quality is evaluated with J2 and balance (H-hat) criteria, alias structures are computed via correlation-based chaining, and deterministic trend-free run orders can be produced following Coster (1993) <doi:10.1214/aos/1176349410>. Mixed-level design construction follows the NONBPA approach of Pantoja-Pacheco et al. (2021) <doi:10.3390/math9131455>. Regular fraction identification follows Guo, Simpson and Pignatiello (2007) <doi:10.1080/00224065.2007.11917691>. Alias structure computation follows Rios-Lira et al.(2021) <doi:10.3390/math9233053>.
License: GPL-3
Encoding: UTF-8
Imports: stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-08 06:58:46 UTC; Sukanta
Author: Sukanta Dash [aut, cre]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-12 21:20:14 UTC

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Package klassR readmission to version 1.0.4 with previous version 1.0.3 dated 2025-10-24

Title: Classifications for Statistics Norway
Description: Functions to search, retrieve, apply and update classification standards and code lists using Statistics Norway's API <https://www.ssb.no/klass> from the system 'KLASS'. Retrieves classifications by date with options to choose language, hierarchical level and formatting.
Author: Susie Jentoft [aut, cre], Diana-Cristina Iancu [aut], Lisa Li [aut], Oeyvind I. Berntsen [aut], Statistics Norway [cph]
Maintainer: Susie Jentoft <susie.jentoft@ssb.no>

This is a re-admission after prior archival of version 1.0.3 dated 2025-10-24

Diff between klassR versions 1.0.3 dated 2025-10-24 and 1.0.4 dated 2025-12-12

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New package gpyramid with initial version 0.0.1
Package: gpyramid
Title: Identify Efficient Crossing Schemes for Gene Pyramiding
Version: 0.0.1
Maintainer: Shoji Taniguchi <taniguchi.shoji938@naro.go.jp>
Description: Calculates the cost of crossing in terms of the number of individuals and generations, which is theoretically formulated by Servin et al. (2004) <DOI:10.1534/genetics.103.023358>. This package has been designed for selecting appropriate parental genotypes and find the most efficient crossing scheme for gene pyramiding, especially for plant breeding.
Imports: utils, dplyr, ape
License: GPL-2 | GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-08 05:22:35 UTC; taniguchis532
Author: Shoji Taniguchi [aut, cre], The National Agriculture and Food Research Organization [cph]
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-12-12 21:10:02 UTC

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New package FactChar with initial version 1.0
Package: FactChar
Title: Characterization and Diagnostic Tools for Factorial Block Designs
Version: 1.0
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Description: Description: Provides comprehensive tools for analysing and characterizing mixed-level factorial designs arranged in blocks. Includes construction and validation of incidence structures, computation of C-matrices, evaluation of A-, D-, E-, and MV-efficiencies, checking of orthogonal factorial structure (OFS), diagnostics based on Hamming distance, discrepancy measures, B-criterion, Es^2 statistics, J2-distance and J2-efficiency, Phi-p optimality, and symmetry conditions for universal optimality. The methodological framework follows foundational work on factorial and mixed-level design assessment by Xu and Wu (2001) <doi:10.1214/aos/1013699993>, and Gupta (1983) <doi:10.1111/j.2517-6161.1983.tb01253.x>. These methods assist in selecting, comparing, and studying factorial block designs across a range of experimental situations.
License: GPL-3
Encoding: UTF-8
Imports: MASS, Matrix
NeedsCompilation: no
Packaged: 2025-12-08 09:33:48 UTC; Sukanta
Author: Sukanta Dash [aut, cre], Vankudoth Kumar [aut], Sunil Kumar Yadav [aut], Anil Kumar [aut], Med Ram Verma [aut]
Repository: CRAN
Date/Publication: 2025-12-12 21:40:02 UTC

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New package DOIcreator with initial version 0.1.0
Package: DOIcreator
Title: Append DOIs to References in Word Documents
Version: 0.1.0
Description: Read 'Word' documents containing bibliographic references, search for corresponding DOIs using the 'Crossref' API, and append the retrieved DOIs directly to the references. Supports parallel processing for faster retrieval and produces a new 'Word' document with numbered references including DOIs.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite, officer, dplyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-08 09:17:20 UTC; DR. Umar Hussain
Author: Umar Hussain [aut, cre]
Maintainer: Umar Hussain <drumarhussain@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-12 21:30:18 UTC

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New package CHAPGWAS with initial version 0.1.2
Package: CHAPGWAS
Title: CHAP-GWAS: Leveraging Chromosomal Haplotypes to Improve Genome-Wide Association Studies
Version: 0.1.2
Description: CHAP-GWAS (Chromosomal Haplotype-Integrated Genome-Wide Association Study) provides a dynamically adaptive framework for genome-wide association studies (GWAS) that integrates chromosome-scale haplotypes with single nucleotide polymorphism (SNP) analysis. The method identifies and extends haplotype variants based on their phenotypic associations rather than predefined linkage blocks, enabling high-resolution detection of quantitative trait loci (QTL). By leveraging long-range phased haplotype information, CHAP-GWAS improves statistical power and offers a more comprehensive view of the genetic architecture underlying complex traits.
Depends: R (>= 4.0.0)
Imports: MASS, plyr
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-12-08 08:40:42 UTC; neau2
Author: Shibo Wang [aut, cre], Qiong Jia [aut], Zhenyu Jia [aut, ctb]
Maintainer: Shibo Wang <shibow@ucr.edu>
Repository: CRAN
Date/Publication: 2025-12-12 21:30:23 UTC

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New package bayestransmission with initial version 0.1.0
Package: bayestransmission
Title: Bayesian Transmission Models
Version: 0.1.0
Description: Provides Bayesian inference methods for infectious disease transmission models in healthcare settings. Implements Markov Chain Monte Carlo (MCMC) algorithms for estimating transmission parameters from patient-level data including admission, discharge, and testing events as described in Thomas 'et al.' (2015) <doi:10.1093/imammb/dqt021>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, dplyr, methods, Rcpp (>= 1.0.12), rlang
Depends: R (>= 4.2.0)
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17, BLAS, LAPACK
Suggests: checkmate, devtools, ggplot2, testthat (>= 3.0.0), tidyr, knitr, rmarkdown, pillar
RcppModules: Infect
URL: https://epiforesite.github.io/bayestransmission/, https://github.com/EpiForeSITE/bayestransmission
VignetteBuilder: knitr
BugReports: https://github.com/EpiForeSITE/bayestransmission/issues
NeedsCompilation: yes
Packaged: 2025-12-07 01:55:57 UTC; root
Author: Andrew Redd [aut, cre] , Alun Thomas [aut], University of Utah [cph], CDC's Center for Forecasting and Outbreak Analytics [fnd] from the CDC's Center for Forecasting and Outbreak Analytics. Its contents are solely the responsibility of the authors a [...truncated...]
Maintainer: Andrew Redd <andrew.redd@hsc.utah.edu>
Repository: CRAN
Date/Publication: 2025-12-12 21:10:07 UTC

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New package pegs with initial version 0.2
Package: pegs
Title: Pseudo-Expectation Gauss-Seidel
Version: 0.2
Date: 2025-12-07
Maintainer: Alencar Xavier <alenxav@gmail.com>
Description: A lightweight, dependency-free, and simplified implementation of the Pseudo-Expectation Gauss-Seidel (PEGS) algorithm. It fits the multivariate ridge regression model for genomic prediction Xavier and Habier (2022) <doi:10.1186/s12711-022-00730-w> and Xavier et al. (2025) <doi:10.1093/genetics/iyae179>, providing heritability estimates, genetic correlations, breeding values, and regression coefficient estimates for prediction. This package provides an alternative to the 'bWGR' package by Xavier et al. (2019) <doi:10.1093/bioinformatics/btz794> by using 'LAPACK' for its algebraic operations.
License: GPL-3
Depends: R (>= 2.10)
NeedsCompilation: yes
Repository: CRAN
Packaged: 2025-12-08 01:35:31 UTC; rd7564
Author: Alencar Xavier [aut, cre], David Habier [aut]
Date/Publication: 2025-12-12 21:00:02 UTC

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Package ecodive updated to version 2.2.1 with previous version 2.2.0 dated 2025-12-03

Title: Parallel and Memory-Efficient Ecological Diversity Metrics
Description: Computes alpha and beta diversity metrics using concurrent 'C' threads. Metrics include 'UniFrac', Faith's phylogenetic diversity, Bray-Curtis dissimilarity, Shannon diversity index, and many others. Also parses newick trees into 'phylo' objects and rarefies feature tables.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package pubchem.bio updated to version 1.0.3 with previous version 1.0.1 dated 2025-08-31

Title: Biologically Informed Metabolomic Libraries from 'PubChem'
Description: All 'PubChem' compounds are downloaded to a local computer, but for each compound, only partial records are used. The data are organized into small files referenced by 'PubChem' CID. This package also contains functions to parse the biologically relevant compounds from all 'PubChem' compounds, using biological database sources, pathway presence, and taxonomic relationships. Taxonomy is used to generate a lowest common ancestor taxonomy ID (NCBI) for each biological metabolite, which then enables creation of taxonomically specific metabolome databases for any taxon.
Author: Corey Broeckling [aut, cre]
Maintainer: Corey Broeckling <cbroeckl@colostate.edu>

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Package maptiles updated to version 0.11.0 with previous version 0.10.0 dated 2025-05-07

Title: Download and Display Map Tiles
Description: To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stadia', 'Esri', 'CARTO', or 'Thunderforest').
Author: Timothee Giraud [cre, aut] , Diego Hernangomez [ctb] , Robert J. Hijmans [ctb] , Hugh A. Graham [ctb], Miles McBain [cph]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package Bchron updated to version 4.7.8 with previous version 4.7.7 dated 2025-06-13

Title: Age-Depth Radiocarbon Modelling
Description: Enables quick calibration of radiocarbon dates under various calibration curves (including user generated ones); age-depth modelling as per the algorithm of Haslett and Parnell (2008) <DOI:10.1111/j.1467-9876.2008.00623.x>; Relative sea level rate estimation incorporating time uncertainty in polynomial regression models (Parnell and Gehrels 2015) <DOI:10.1002/9781118452547.ch32>; non-parametric phase modelling via Gaussian mixtures as a means to determine the activity of a site (and as an alternative to the 'Oxcal' function SUM(); currently unpublished), and reverse calibration of dates from calibrated into 14C years (also unpublished).
Author: Andrew Parnell [cre, aut], Nathan McJames [ctb], Bruna Wundervald [ctb], Keefe Murphy [ctb], Mateus Maia [ctb], Amin Shoari Nejad [ctb], Yong Chen Goh [ctb]
Maintainer: Andrew Parnell <Andrew.Parnell1@ucd.ie>

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Package timeSeries updated to version 4052.112 with previous version 4041.111 dated 2024-09-22

Title: Financial Time Series Objects (Rmetrics)
Description: 'S4' classes and various tools for financial time series: Basic functions such as scaling and sorting, subsetting, mathematical operations and statistical functions.
Author: Diethelm Wuertz [aut] , Tobias Setz [aut], Yohan Chalabi [aut], Martin Maechler [ctb] , Georgi N. Boshnakov [cre, aut]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package SeuratObject updated to version 5.3.0 with previous version 5.2.0 dated 2025-08-27

Title: Data Structures for Single Cell Data
Description: Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, Hao Y, Hao S, et al (2021) <doi:10.1016/j.cell.2021.04.048> and Hao Y, et al (2023) <doi:10.1101/2022.02.24.481684> for more details.
Author: Paul Hoffman [aut] , Rahul Satija [aut, cre] , David Collins [aut] , Yuhan Hao [aut] , Austin Hartman [aut] , Gesmira Molla [aut] , Andrew Butler [aut] , Tim Stuart [aut] , Madeline Kowalski [ctb] , Saket Choudhary [ctb] , Skylar Li [ctb], Longda Jia [...truncated...]
Maintainer: Rahul Satija <seurat@nygenome.org>

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Package oxcAAR updated to version 1.1.2 with previous version 1.1.1 dated 2021-07-05

Title: Interface to 'OxCal' Radiocarbon Calibration
Description: A set of tools that enables using 'OxCal' from within R. 'OxCal' (<https://c14.arch.ox.ac.uk/oxcal.html>) is a standard archaeological tool intended to provide 14C calibration and analysis of archaeological and environmental chronological information. 'OxcAAR' allows simple calibration with 'Oxcal' and plotting of the results as well as the execution of sophisticated ('OxCal') code and the import of the results of bulk analysis and complex Bayesian sequential calibration.
Author: Hinz Martin [aut, cre], Clemens Schmid [aut], Daniel Knitter [aut], Carolin Tietze [aut]
Maintainer: Hinz Martin <martin.hinz@ufg.uni-kiel.de>

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Package nser readmission to version 1.5.7 with previous version 1.5.6 dated 2025-08-25

Title: Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India
Description: Download Current & Historical Bhavcopy. Get Live Market data from NSE India of Equities and Derivatives (F&O) segment. Data source <https://www.nseindia.com/>.
Author: Nandan Patil [cre, aut]
Maintainer: Nandan Patil <tryanother609@gmail.com>

This is a re-admission after prior archival of version 1.5.6 dated 2025-08-25

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Package geoflow updated to version 1.1.0 with previous version 1.0.0 dated 2025-10-09

Title: Orchestrate Geospatial (Meta)Data Management Workflows and Manage FAIR Services
Description: An engine to facilitate the orchestration and execution of metadata-driven data management workflows, in compliance with 'FAIR' (Findable, Accessible, Interoperable and Reusable) data management principles. By means of a pivot metadata model, relying on the 'DublinCore' standard (<https://dublincore.org/>), a unique source of metadata can be used to operate multiple and inter-connected data management actions. Users can also customise their own workflows by creating specific actions but the library comes with a set of native actions targeting common geographic information and data management, in particular actions oriented to the publication on the web of metadata and data resources to provide standard discovery and access services. At first, default actions of the library were meant to focus on providing turn-key actions for geospatial (meta)data: 1) by creating manage geospatial (meta)data complying with 'ISO/TC211' (<https://committee.iso.org/home/tc211>) and 'OGC' (< [...truncated...]
Author: Emmanuel Blondel [aut, cre, cph] , Julien, Barde [aut] , Wilfried Heintz [aut] , Alexandre Bennici [ctb], Sylvain Poulain [ctb], Bastien Grasset [ctb], Mathias Rouan [ctb], Emilie Lerigoleur [ctb], Yvan Le Bras [ctb], Jeroen Ooms [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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 R/geoflow_relation.R                                                                      |   10 
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 R/geoflow_utils.R                                                                         |   62 ++-
 R/geoflow_validator.R                                                                     |   10 
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 man/geoflow.Rd                                                                            |    2 
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Package alarmdata readmission to version 0.2.4 with previous version 0.2.1 dated 2024-02-28

Title: Download, Merge, and Process Redistricting Data
Description: Utility functions to download and process data produced by the ALARM Project, including 2020 redistricting files Kenny and McCartan (2021) <https://alarm-redist.org/posts/2021-08-10-census-2020/> and the 50-State Redistricting Simulations of McCartan, Kenny, Simko, Garcia, Wang, Wu, Kuriwaki, and Imai (2022) <doi:10.7910/DVN/SLCD3E>. The package extends the data introduced in McCartan, Kenny, Simko, Garcia, Wang, Wu, Kuriwaki, and Imai (2022) <doi:10.1038/s41597-022-01808-2> to also include states with only a single district. The package also includes the Japanese 2022 redistricting files from the 47-Prefecture Redistricting Simulations of Miyazaki, Yamada, Yatsuhashi, and Imai (2022) <doi:10.7910/DVN/Z9UKSH>.
Author: Cory McCartan [aut] , Christopher T. Kenny [aut, cre] , Tyler Simko [aut] , Michael Zhao [aut] , Sho Miyazaki [aut] , Kosuke Imai [aut]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

This is a re-admission after prior archival of version 0.2.1 dated 2024-02-28

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Package mlt updated to version 1.7-3 with previous version 1.7-2 dated 2025-11-12

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mlt versions 1.7-2 dated 2025-11-12 and 1.7-3 dated 2025-12-12

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Package GridOnClusters updated to version 0.3.2 with previous version 0.1.0.2 dated 2025-05-27

Title: Multivariate Joint Grid Discretization
Description: Discretize multivariate continuous data using a grid to capture the joint distribution that preserves clusters in original data. It can handle both labeled or unlabeled data. Both published methods (Wang et al 2020) <doi:10.1145/3388440.3412415> and new methods are included. Joint grid discretization can prepare data for model-free inference of association, function, or causality.
Author: Jiandong Wang [aut], Sajal Kumar [aut] , Joe Song [aut, cre]
Maintainer: Joe Song <joemsong@nmsu.edu>

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Package fungible updated to version 2.4.4.1 with previous version 2.4.4 dated 2024-03-09

Title: Psychometric Functions from the Waller Lab
Description: Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568. Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings mat [...truncated...]
Author: Niels Waller [aut, cre], Justin Kracht [ctb], Jeff Jones [ctb], Casey Giordano [ctb], Hoang V. Nguyen [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

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Package FoRDM updated to version 1.0.1 with previous version 1.0.0 dated 2025-12-03

Title: Forest Many-Objective Robust Decision Making ('FoRDM')
Description: Forest Many-Objective Robust Decision Making ('FoRDM') is a R toolkit for supporting robust forest management under deep uncertainty. It provides a forestry-focused application of Many-Objective Robust Decision Making ('MORDM') to forest simulation outputs, enabling users to evaluate robustness using regret- and 'satisficing'-based measures. 'FoRDM' identifies robust solutions, generates Pareto fronts, and offers interactive 2D, 3D, and parallel-coordinate visualizations.
Author: Marc Djahangard [aut, cre], Rasoul Yousefpour [aut]
Maintainer: Marc Djahangard <marc.djahangard@ife.uni-freiburg.de>

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Package symmoments updated to version 1.2.1.1 with previous version 1.2.1 dated 2020-02-05

Title: Symbolic Central and Noncentral Moments of the Multivariate Normal Distribution
Description: Symbolic central and non-central moments of the multivariate normal distribution. Computes a standard representation, LateX code, and values at specified mean and covariance matrices.
Author: Kem Phillips [aut, cre]
Maintainer: Kem Phillips <kemphillips@comcast.net>

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Package rtpcr updated to version 2.0.5 with previous version 2.0.4 dated 2025-12-04

Title: qPCR Data Analysis
Description: Various methods are employed for statistical analysis and graphical presentation of real-time PCR (quantitative PCR or qPCR) data. 'rtpcr' handles amplification efficiency calculation, statistical analysis and graphical representation of real-time PCR data based on up to two reference genes. By accounting for amplification efficiency values, 'rtpcr' was developed using a general calculation method described by Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods. Based on the experimental conditions, the functions of the 'rtpcr' package use t-test (for experiments with a two-level factor), analysis of variance (ANOVA), analysis of covariance (ANCOVA) or analysis of repeated measure data to calculate the fold change (FC, Delta Delta Ct method) or relative expression (RE, Delta Ct method). The functions further provide standard errors and confidence intervals for means, a [...truncated...]
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <gh.mirzaghaderi@uok.ac.ir>

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Package PriceIndices updated to version 0.2.6 with previous version 0.2.5 dated 2025-10-12

Title: Calculating Bilateral and Multilateral Price Indexes
Description: Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>, Białek (2019) <doi:10.2478/jos-2019-0014> or Białek (2020) <doi:10.2478/jos-2020-0037>.
Author: Jacek Bialek [aut, cre]
Maintainer: Jacek Bialek <jacek.bialek@uni.lodz.pl>

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Package funcharts updated to version 1.8.0 with previous version 1.7.0 dated 2025-03-17

Title: Functional Control Charts
Description: Provides functional control charts for statistical process monitoring of functional data, using the methods of Capezza et al. (2020) <doi:10.1002/asmb.2507>, Centofanti et al. (2021) <doi:10.1080/00401706.2020.1753581>, Capezza et al. (2024) <doi:10.1080/00224065.2024.2383674>, Capezza et al. (2024) <doi:10.1080/00401706.2024.2327346>, Centofanti et al. (2025) <doi:10.1080/00224065.2024.2430978>, Capezza et al. (2025) <doi:10.48550/arXiv.2410.20138>. The package is thoroughly illustrated in the paper of Capezza et al (2023) <doi:10.1080/00224065.2023.2219012>.
Author: Christian Capezza [cre, aut], Fabio Centofanti [aut], Davide Forcina [aut], Antonio Lepore [aut], Biagio Palumbo [aut], Alessandra Menafoglio [ctb], Simone Vantini [ctb]
Maintainer: Christian Capezza <christian.capezza@unina.it>

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Package SdeaR updated to version 1.0.2 with previous version 1.0.1 dated 2025-10-16

Title: Stochastic Data Envelopment Analysis
Description: Set of functions for Stochastic Data Envelopment Analysis. Chance constrained versions of radial, directional and additive DEA models are implemented, as long as super-efficiency models. See: Cooper, W.W.; Deng, H.; Huang, Z.; Li, S.X. (2002). <doi:10.1057/palgrave.jors.2601433>, Bolós, V.J.; Benítez, R.; Coll-Serrano, V. (2024) <doi:10.1016/j.orp.2024.100307>.
Author: Vicente Bolos [aut, cre], Vicente Coll-Serrano [aut], Rafael Benitez Suarez [aut]
Maintainer: Vicente Bolos <vicente.bolos@uv.es>

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Package rmumps updated to version 5.2.1-36 with previous version 5.2.1-35 dated 2025-05-16

Title: Wrapper for MUMPS Library
Description: Some basic features of 'MUMPS' (Multifrontal Massively Parallel sparse direct Solver) are wrapped in a class whose methods can be used for sequentially solving a sparse linear system (symmetric or not) with one or many right hand sides (dense or sparse). There is a possibility to do separately symbolic analysis, LU (or LDL^t) factorization and system solving. Third part ordering libraries are included and can be used: 'PORD', 'METIS', 'SCOTCH'. 'MUMPS' method was first described in Amestoy et al. (2001) <doi:10.1137/S0895479899358194> and Amestoy et al. (2006) <doi:10.1016/j.parco.2005.07.004>.
Author: Serguei Sokol [aut, cre], Emmanuel Agullo [ctb], Patrick Amestoy [ctb, cph], Maurice Bremond [ctb], Alfredo Buttari [ctb], Philippe Combes [ctb], Marie Durand [ctb], Aurelia Fevre [ctb], Abdou Guermouche [ctb], Guillaume Joslin [ctb], Jacko Koster [c [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package bootcluster updated to version 0.4.3 with previous version 0.4.2 dated 2025-06-17

Title: Bootstrapping Estimates of Clustering Stability
Description: Implementation of the bootstrapping approach for the estimation of clustering stability and its application in estimating the number of clusters, as introduced by Yu et al (2016)<doi:10.1142/9789814749411_0007>. Implementation of the non-parametric bootstrap approach to assessing the stability of module detection in a graph, the extension for the selection of a parameter set that defines a graph from data in a way that optimizes stability and the corresponding visualization functions, as introduced by Tian et al (2021) <doi:10.1002/sam.11495>. Implemented out-of-bag stability estimation function and k-select Smin-based k-selection function as introduced by Liu et al (2022) <doi:10.1002/sam.11593>. Implemented ensemble clustering method based-on k-means clustering method, spectral clustering method and hierarchical clustering method.
Author: Han Yu [aut], Mingmei Tian [aut], Tianmou Liu [aut, cre]
Maintainer: Tianmou Liu <tianmouliu@outlook.com>

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Package weightedGCM updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-29

Title: Weighted Generalised Covariance Measure Conditional Independence Test
Description: A conditional independence test that can be applied both to univariate and multivariate random variables. The test is based on a weighted form of the sample covariance of the residuals after a nonlinear regression on the conditioning variables. Details are described in Scheidegger, Hoerrmann and Buehlmann (2022) "The Weighted Generalised Covariance Measure" <http://jmlr.org/papers/v23/21-1328.html>. The test is a generalisation of the Generalised Covariance Measure (GCM) implemented in the R package 'GeneralisedCovarianceMeasure' by Jonas Peters and Rajen D. Shah based on Shah and Peters (2020) "The Hardness of Conditional Independence Testing and the Generalised Covariance Measure" <doi:10.1214/19-AOS1857>.
Author: Cyrill Scheidegger [aut, cre, cph], Julia Hoerrmann [ths], Peter Buehlmann [ths], Jonas Peters [ctb, cph] , Rajen D. Shah [ctb, cph]
Maintainer: Cyrill Scheidegger <cyrill.scheidegger@stat.math.ethz.ch>

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Package nn2poly updated to version 0.1.3 with previous version 0.1.2 dated 2024-11-11

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 IVDML updated to version 1.0.1 with previous version 1.0.0 dated 2025-03-11

Title: Double Machine Learning with Instrumental Variables and Heterogeneity
Description: Instrumental variable (IV) estimators for homogeneous and heterogeneous treatment effects with efficient machine learning instruments. The estimators are based on double/debiased machine learning allowing for nonlinear and potentially high-dimensional control variables. Details can be found in Scheidegger, Guo and Bühlmann (2025) "Inference for heterogeneous treatment effects with efficient instruments and machine learning" <doi:10.48550/arXiv.2503.03530>.
Author: Cyrill Scheidegger [aut, cre, cph]
Maintainer: Cyrill Scheidegger <cyrill.scheidegger@stat.math.ethz.ch>

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Package tall updated to version 0.5.1 with previous version 0.5.0 dated 2025-12-06

Title: Text Analysis for All
Description: An R 'shiny' app designed for diverse text analysis tasks, offering a wide range of methodologies tailored to Natural Language Processing (NLP) needs. It is a versatile, general-purpose tool for analyzing textual data. 'tall' features a comprehensive workflow, including data cleaning, preprocessing, statistical analysis, and visualization, all integrated for effective text analysis.
Author: Massimo Aria [aut, cre, cph] , Maria Spano [aut] , Luca D'Aniello [aut] , Corrado Cuccurullo [ctb] , Michelangelo Misuraca [ctb]
Maintainer: Massimo Aria <aria@unina.it>

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Package SHARK4R updated to version 1.0.2 with previous version 1.0.1 dated 2025-12-09

Title: Accessing and Validating Marine Environmental Data from 'SHARK' and Related Databases
Description: Provides functions to retrieve, process, analyze, and quality-control marine physical, chemical, and biological data. The main focus is on Swedish monitoring data available through the 'SHARK' database <https://shark.smhi.se/en/>, with additional API support for 'Nordic Microalgae' <https://nordicmicroalgae.org/>, 'Dyntaxa' <https://artfakta.se/>, World Register of Marine Species ('WoRMS') <https://www.marinespecies.org>, 'AlgaeBase' <https://www.algaebase.org>, OBIS 'xylookup' web service <https://iobis.github.io/xylookup/> and Intergovernmental Oceanographic Commission (IOC) - UNESCO databases on harmful algae <https://www.marinespecies.org/hab/> and toxins <https://toxins.hais.ioc-unesco.org/>.
Author: Markus Lindh [aut] , Anders Torstensson [aut, cre] , Mikael Hedblom [ctb] , Bengt Karlson [ctb] , SHARK [cph], SBDI [fnd]
Maintainer: Anders Torstensson <anders.torstensson@smhi.se>

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 SHARK4R-1.0.2/SHARK4R/R/plot_map_leaflet.R                                                      |  174 
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 SHARK4R-1.0.2/SHARK4R/build/vignette.rds                                                        |binary
 SHARK4R-1.0.2/SHARK4R/inst/CITATION                                                             |   34 
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 SHARK4R-1.0.2/SHARK4R/man/check_RingedSeal.Rd                                                   |   42 
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 SHARK4R-1.0.2/SHARK4R/man/check_Zoobenthos.Rd                                                   |   42 
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 SHARK4R-1.0.2/SHARK4R/man/get_nua_taxa.Rd                                                       |   70 
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Package IsoSpecR updated to version 2.3.3 with previous version 2.1.3 dated 2020-10-30

Title: The IsoSpec Algorithm
Description: IsoSpec is a fine structure calculator used for obtaining the most probable masses of a chemical compound given the frequencies of the composing isotopes and their masses. It finds the smallest set of isotopologues with a given probability. The probability is assumed to be that of the product of multinomial distributions, each corresponding to one particular element and parametrized by the frequencies of finding these elements in nature. These numbers are supplied by IUPAC - the International Union of Pure and Applied Chemistry. See: Lacki, Valkenborg, Startek (2020) <DOI:10.1021/acs.analchem.0c00959> and Lacki, Startek, Valkenborg, Gambin (2017) <DOI:10.1021/acs.analchem.6b01459> for the description of the algorithms used.
Author: Mateusz Krzysztof Lacki [cre, aut] , Michal Piotr Startek [aut]
Maintainer: Mateusz Krzysztof Lacki <matteo.lacki@gmail.com>

Diff between IsoSpecR versions 2.1.3 dated 2020-10-30 and 2.3.3 dated 2025-12-12

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Package fGarch updated to version 4052.93 with previous version 4033.92 dated 2024-03-26

Title: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Description: Analyze and model heteroskedastic behavior in financial time series.
Author: Diethelm Wuertz [aut] , Yohan Chalabi [aut], Tobias Setz [aut], Martin Maechler [aut] , Chris Boudt [ctb], Pierre Chausse [ctb], Michal Miklovac [ctb], Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package dextergui updated to version 1.0.3 with previous version 1.0.1 dated 2025-10-06

Title: A Graphical User Interface for Dexter
Description: Classical Test and Item analysis, Item Response analysis and data management for educational and psychological tests.
Author: Jesse Koops [aut, cre], Eva de Schipper [aut], Ivailo Partchev [aut, ctb], Gunter Maris [aut, ctb], Timo Bechger [aut, ctb], Gareth Watts [cph] , Hakim El Hattab [cph]
Maintainer: Jesse Koops <jesse.koops@cito.nl>

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Package airGR updated to version 1.7.8 with previous version 1.7.6 dated 2023-10-26

Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Description: Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A) that can be applied either on a lumped or semi-distributed way. A snow accumulation and melt model (CemaNeige) and the associated functions for the calibration and evaluation of models are also included. Use help(airGR) for package description and references.
Author: Laurent Coron [aut, trl] , Olivier Delaigue [aut, cre] , Guillaume Thirel [aut, ths] , David Dorchies [aut] , Charles Perrin [aut, ths] , Claude Michel [aut, ths], Vazken Andreassian [ctb, ths] , Francois Bourgin [ctb] , Pierre Brigode [ctb] , Nicola [...truncated...]
Maintainer: Olivier Delaigue <airGR@inrae.fr>

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Package vip readmission to version 0.4.5 with previous version 0.4.3 dated 2025-12-10

Title: Variable Importance Plots
Description: A general framework for constructing variable importance plots from various types of machine learning models in R. Aside from some standard model- specific variable importance measures, this package also provides model- agnostic approaches that can be applied to any supervised learning algorithm. These include 1) an efficient permutation-based variable importance measure, 2) variable importance based on Shapley values (Strumbelj and Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>, and 3) the variance-based approach described in Greenwell et al. (2018) <doi:10.48550/arXiv.1805.04755>. A variance-based method for quantifying the relative strength of interaction effects is also included (see the previous reference for details).
Author: Brandon M. Greenwell [aut, cre] , Brad Boehmke [aut]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>

This is a re-admission after prior archival of version 0.4.3 dated 2025-12-10

Diff between vip versions 0.4.3 dated 2025-12-10 and 0.4.5 dated 2025-12-12

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Package tokenbrowser updated to version 0.1.6 with previous version 0.1.5 dated 2020-10-16

Title: Create Full Text Browsers from Annotated Token Lists
Description: Create browsers for reading full texts from a token list format. Information obtained from text analyses (e.g., topic modeling, word scaling) can be used to annotate the texts.
Author: Kasper Welbers [aut, cre], Wouter van Atteveldt [aut]
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>

Diff between tokenbrowser versions 0.1.5 dated 2020-10-16 and 0.1.6 dated 2025-12-12

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Package tectonicr updated to version 0.4.8 with previous version 0.4.7 dated 2025-05-22

Title: Analyzing the Orientation of Maximum Horizontal Stress
Description: Models the direction of the maximum horizontal stress using relative plate motion parameters. Statistical algorithms to evaluate the modeling results compared with the observed data. Provides plots to visualize the results. Methods described in Stephan et al. (2023) <doi:10.1038/s41598-023-42433-2> and Wdowinski (1998) <doi:10.1016/S0079-1946(98)00091-3>.
Author: Tobias Stephan [aut, cre]
Maintainer: Tobias Stephan <tobias.stephan1@yahoo.com>

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Package shinystan updated to version 2.7.0 with previous version 2.6.0 dated 2022-03-02

Title: Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models
Description: A graphical user interface for interactive Markov chain Monte Carlo (MCMC) diagnostics and plots and tables helpful for analyzing a posterior sample. The interface is powered by the 'Shiny' web application framework from 'RStudio' and works with the output of MCMC programs written in any programming language (and has extended functionality for 'Stan' models fit using the 'rstan' and 'rstanarm' packages).
Author: Jonah Gabry [aut, cre], Duco Veen [aut], Stan Development Team [ctb], Michael Andreae [ctb], Michael Betancourt [ctb], Bob Carpenter [ctb], Yuanjun Gao [ctb], Andrew Gelman [ctb], Ben Goodrich [ctb], Daniel Lee [ctb], Dongying Song [ctb], Rob Tranguc [...truncated...]
Maintainer: Jonah Gabry <jgabry@gmail.com>

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Package parallelly updated to version 1.46.0 with previous version 1.45.1 dated 2025-07-24

Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph] , Mike Cheng [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package metricminer readmission to version 1.0.1 with previous version 1.0.0 dated 2025-02-19

Title: Mine Metrics from Common Places on the Web
Description: Mine metrics on common places on the web through the power of their APIs (application programming interfaces). It also helps make the data in a format that is easily used for a dashboard or other purposes. There is an associated dashboard template and tutorials that are underdevelopment that help you fully utilize 'metricminer'.
Author: Candace Savonen [aut, cre], Kate Isaac [aut], Howard Baek [aut]
Maintainer: Candace Savonen <cansav09@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2025-02-19

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Package meteoland updated to version 2.2.5 with previous version 2.2.3 dated 2025-01-28

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].
Author: Miquel De Caceres [aut, cre] , Victor Granda [aut] , Nicolas Martin [aut] , Antoine Cabon [aut]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

Diff between meteoland versions 2.2.3 dated 2025-01-28 and 2.2.5 dated 2025-12-12

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Package Luminescence updated to version 1.1.2 with previous version 1.1.1 dated 2025-09-11

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

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More information about Luminescence at CRAN
Permanent link

Package fmesher updated to version 0.6.1 with previous version 0.5.0 dated 2025-07-07

Title: Triangle Meshes and Related Geometry Tools
Description: Generate planar and spherical triangle meshes, compute finite element calculations for 1-, 2-, and 3-dimensional flat and curved manifolds with associated basis function spaces, methods for lines and polygons, and transparent handling of coordinate reference systems and coordinate transformation, including 'sf' and 'sp' geometries. The core 'fmesher' library code was originally part of the 'INLA' package, and implements parts of "Triangulations and Applications" by Hjelle and Daehlen (2006) <doi:10.1007/3-540-33261-8>.
Author: Finn Lindgren [aut, cre, cph] , Seaton Andy [ctb] , Suen Man Ho [ctb] , Fabian E. Bachl [ctb]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

Diff between fmesher versions 0.5.0 dated 2025-07-07 and 0.6.1 dated 2025-12-12

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Permanent link

Package contentanalysis updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-30

Title: Scientific Content and Citation Analysis from PDF Documents
Description: Provides comprehensive tools for extracting and analyzing scientific content from PDF documents, including citation extraction, reference matching, text analysis, and bibliometric indicators. Supports multi-column PDF layouts, 'CrossRef' API <https://www.crossref.org/documentation/retrieve-metadata/rest-api/> integration, and advanced citation parsing.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between contentanalysis versions 0.2.0 dated 2025-10-30 and 0.2.1 dated 2025-12-12

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More information about contentanalysis at CRAN
Permanent link

Package bayesplot updated to version 1.15.0 with previous version 1.14.0 dated 2025-08-31

Title: Plotting for Bayesian Models
Description: Plotting functions for posterior analysis, MCMC diagnostics, prior and posterior predictive checks, and other visualizations to support the applied Bayesian workflow advocated in Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) <doi:10.1111/rssa.12378>. The package is designed not only to provide convenient functionality for users, but also a common set of functions that can be easily used by developers working on a variety of R packages for Bayesian modeling, particularly (but not exclusively) packages interfacing with 'Stan'.
Author: Jonah Gabry [aut, cre], Tristan Mahr [aut] , Paul-Christian Buerkner [ctb], Martin Modrak [ctb], Malcolm Barrett [ctb], Frank Weber [ctb], Eduardo Coronado Sroka [ctb], Teemu Sailynoja [ctb], Aki Vehtari [ctb], Behram Ulukir [ctb], Visruth Srimath Kan [...truncated...]
Maintainer: Jonah Gabry <jgabry@gmail.com>

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Package arcpullr updated to version 0.3.2 with previous version 0.3.0 dated 2025-02-06

Title: Pull Data from an 'ArcGIS REST' API
Description: Functions to efficiently query 'ArcGIS REST' APIs <https://developers.arcgis.com/rest/>. Both spatial and SQL queries can be used to retrieve data. Simple Feature (sf) objects are utilized to perform spatial queries. This package was neither produced nor is maintained by Esri.
Author: Paul Frater [aut, cre] , Zac Driscoll [aut]
Maintainer: Paul Frater <paul.frater@wisconsin.gov>

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Package valdr updated to version 2.1.0 with previous version 2.0.0 dated 2025-08-31

Title: Access and Analyse 'VALD' Data via Our External 'APIs'
Description: Provides helper functions and wrappers to simplify authentication, data retrieval, and result processing from the 'VALD' 'APIs'. Designed to streamline integration for analysts and researchers working with 'VALD's external 'APIs'. For further documentation on integrating with 'VALD' 'APIs', see: <https://support.vald.com/hc/en-au/articles/23415335574553-How-to-integrate-with-VALD-APIs>. For a step-by-step guide to using this package, see: <https://support.vald.com/hc/en-au/articles/48730811824281-A-guide-to-using-the-valdr-R-package>.
Author: Kieran Harrison [aut, cre], VALD Support [ctb], VALD [cph]
Maintainer: Kieran Harrison <k.harrison@vald.com>

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Thu, 11 Dec 2025

Package csmpv updated to version 1.0.5 with previous version 1.0.3 dated 2024-03-01

Title: Biomarker Confirmation, Selection, Modelling, Prediction, and Validation
Description: There are diverse purposes such as biomarker confirmation, novel biomarker discovery, constructing predictive models, model-based prediction, and validation. It handles binary, continuous, and time-to-event outcomes at the sample or patient level. - Biomarker confirmation utilizes established functions like glm() from 'stats', coxph() from 'survival', surv_fit(), and ggsurvplot() from 'survminer'. - Biomarker discovery and variable selection are facilitated by three LASSO-related functions LASSO2(), LASSO_plus(), and LASSO2plus(), leveraging the 'glmnet' R package with additional steps. - Eight versatile modeling functions are offered, each designed for predictive models across various outcomes and data types. 1) LASSO2(), LASSO_plus(), LASSO2plus(), and LASSO2_reg() perform variable selection using LASSO methods and construct predictive models based on selected variables. 2) XGBtraining() employs 'XGBoost' for model building and is the only function not involving variable selection. 3 [...truncated...]
Author: Aixiang Jiang [aut, cre, cph]
Maintainer: Aixiang Jiang <aijiang@bccrc.ca>

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Package xtdml updated to version 0.1.11 with previous version 0.1.10 dated 2025-12-10

Title: Double Machine Learning for Static Panel Models with Fixed Effects
Description: The 'xtdml' package implements partially linear panel regression (PLPR) models with high-dimensional confounding variables and an exogenous treatment variable within the double machine learning framework. The package is used to estimate the structural parameter (treatment effect) in static panel data models with fixed effects using the approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' is built on the object-oriented package 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> using the 'mlr3' ecosystem.
Author: Annalivia Polselli [aut, cre]
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>

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Package tepr updated to version 1.1.13 with previous version 1.1.12 dated 2025-11-04

Title: Transcription Elongation Profiling
Description: The general principle relies on calculating the cumulative signal of nascent RNA sequencing over the gene body of any given gene or transcription unit. 'tepr' can identify transcription attenuation sites by comparing profile to a null model which assumes uniform read density over the entirety of the transcription unit. It can also identify increased or diminished transcription attenuation by comparing two conditions. Besides rigorous statistical testing and high sensitivity, a major feature of 'tepr' is its ability to provide the elongation pattern of each individual gene, including the position of the main attenuation point when such a phenomenon occurs. Using 'tepr', users can visualize and refine genome-wide aggregated analyses of elongation patterns to robustly identify effects specific to subsets of genes. These metrics are suitable for internal comparisons (between genes in each condition) and for studying elongation of the same gene in different conditions or comparing it to a p [...truncated...]
Author: Nicolas Descostes [cre], Victor Billon [aut], Gael Cristofari [aut]
Maintainer: Nicolas Descostes <nicolas.descostes@gmail.com>

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Package geomander readmission to version 2.5.2 with previous version 2.5.0 dated 2025-09-01

Title: Geographic Tools for Studying Gerrymandering
Description: A compilation of tools to complete common tasks for studying gerrymandering. This focuses on the geographic tool side of common problems, such as linking different levels of spatial units or estimating how to break up units. Functions exist for creating redistricting-focused data for the US.
Author: Christopher T. Kenny [aut, cre] , Cory McCartan [ctb]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

This is a re-admission after prior archival of version 2.5.0 dated 2025-09-01

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Package geeLite updated to version 1.0.6 with previous version 1.0.5 dated 2025-12-09

Title: Building and Managing Local Databases from 'Google Earth Engine'
Description: Simplifies the creation, management, and updating of local databases using data extracted from 'Google Earth Engine' ('GEE'). It integrates with 'GEE' to store, aggregate, and process spatio-temporal data, leveraging 'SQLite' for efficient, serverless storage. The 'geeLite' package provides utilities for data transformation and supports real-time monitoring and analysis of geospatial features, making it suitable for researchers and practitioners in geospatial science. For details, see Kurbucz and Andrée (2025) "Building and Managing Local Databases from Google Earth Engine with the geeLite R Package" <https://hdl.handle.net/10986/43165>.
Author: Marcell T. Kurbucz [aut, cre], Bo Pieter Johannes Andree [aut]
Maintainer: Marcell T. Kurbucz <m.kurbucz@ucl.ac.uk>

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Package ddml updated to version 0.3.1 with previous version 0.3.0 dated 2024-10-02

Title: Double/Debiased Machine Learning
Description: Estimate common causal parameters using double/debiased machine learning as proposed by Chernozhukov et al. (2018) <doi:10.1111/ectj.12097>. 'ddml' simplifies estimation based on (short-)stacking as discussed in Ahrens et al. (2024) <doi:10.1002/jae.3103>, which leverages multiple base learners to increase robustness to the underlying data generating process.
Author: Achim Ahrens [aut], Christian B Hansen [aut], Mark E Schaffer [aut], Thomas Wiemann [aut, cre]
Maintainer: Thomas Wiemann <thomas.wiemann@chicagobooth.edu>

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 62 files changed, 8423 insertions(+), 8376 deletions(-)

More information about ddml at CRAN
Permanent link

Package baker readmission to version 1.0.4 with previous version 1.0.3 dated 2024-01-30

Title: "Nested Partially Latent Class Models"
Description: Provides functions to specify, fit and visualize nested partially-latent class models ( Wu, Deloria-Knoll, Hammitt, and Zeger (2016) <doi:10.1111/rssc.12101>; Wu, Deloria-Knoll, and Zeger (2017) <doi:10.1093/biostatistics/kxw037>; Wu and Chen (2021) <doi:10.1002/sim.8804>) for inference of population disease etiology and individual diagnosis. In the motivating Pneumonia Etiology Research for Child Health (PERCH) study, because both quantities of interest sum to one hundred percent, the PERCH scientists frequently refer to them as population etiology pie and individual etiology pie, hence the name of the package.
Author: Zhenke Wu [cre, aut, cph] , Scott Zeger [aut] , John Muschelli [ctb] , Irena Chen [ctb]
Maintainer: Zhenke Wu <zhenkewu@gmail.com>

This is a re-admission after prior archival of version 1.0.3 dated 2024-01-30

Diff between baker versions 1.0.3 dated 2024-01-30 and 1.0.4 dated 2025-12-11

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 baker-1.0.4/baker/DESCRIPTION                                                        |   19 -
 baker-1.0.4/baker/LICENSE                                                            |    2 
 baker-1.0.4/baker/MD5                                                                |  102 ++++----
 baker-1.0.4/baker/NEWS.md                                                            |    2 
 baker-1.0.4/baker/R/baker.R                                                          |    5 
 baker-1.0.4/baker/R/nplcm-read-folder.R                                              |   22 +
 baker-1.0.4/baker/R/nplcm.R                                                          |   34 ++
 baker-1.0.4/baker/R/plot-model-check.R                                               |   32 +-
 baker-1.0.4/baker/R/utils.R                                                          |   13 -
 baker-1.0.4/baker/README.md                                                          |   89 ++++---
 baker-1.0.4/baker/build/vignette.rds                                                 |binary
 baker-1.0.4/baker/inst/CITATION                                                      |    4 
 baker-1.0.4/baker/inst/WORDLIST                                                      |  116 ++++-----
 baker-1.0.4/baker/inst/doc/baker_demo.R                                              |  120 +++++-----
 baker-1.0.4/baker/inst/doc/baker_demo.html                                           |    9 
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 baker-1.0.4/baker/man/jags2_baker.Rd                                                 |    2 
 baker-1.0.4/baker/man/make_list.Rd                                                   |    2 
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More information about baker at CRAN
Permanent link

Package serocalculator updated to version 1.4.0 with previous version 1.3.0 dated 2025-01-25

Title: Estimating Infection Rates from Serological Data
Description: Translates antibody levels measured in cross-sectional population samples into estimates of the frequency with which seroconversions (infections) occur in the sampled populations. Replaces the previous `seroincidence` package.
Author: Kristina Lai [aut, cre], Chris Orwa [aut], Kwan Ho Lee [ctb], Peter Teunis [aut, cph] , Kristen Aiemjoy [aut], Douglas Ezra Morrison [aut]
Maintainer: Kristina Lai <kwlai@ucdavis.edu>

Diff between serocalculator versions 1.3.0 dated 2025-01-25 and 1.4.0 dated 2025-12-11

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 serocalculator-1.4.0/serocalculator/DESCRIPTION                                                           |   39 
 serocalculator-1.4.0/serocalculator/MD5                                                                   |  338 ++--
 serocalculator-1.4.0/serocalculator/NAMESPACE                                                             |   32 
 serocalculator-1.4.0/serocalculator/NEWS.md                                                               |   91 +
 serocalculator-1.4.0/serocalculator/R/ab.R                                                                |   46 
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 serocalculator-1.4.0/serocalculator/R/autoplot.seroincidence.R                                            |   19 
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 serocalculator-1.4.0/serocalculator/R/check_parallel_cores.R                                              |   17 
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 serocalculator-1.4.0/serocalculator/R/check_strata.R                                                      |   45 
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 serocalculator-1.4.0/serocalculator/R/count_strata.R                                                      |   48 
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 serocalculator-1.4.0/serocalculator/R/print.seroincidence.R                                               |   44 
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 serocalculator-1.4.0/serocalculator/R/sees_pop_data_pakistan_100.R                                        |   24 
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 serocalculator-1.4.0/serocalculator/R/utils.R                                                             |   42 
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Package resilience updated to version 2025.1.0 with previous version 2024.1.2 dated 2024-08-22

Title: Predictors of Resilience to a Stressor in a Single-Arm Study
Description: Studies of resilience in older adults employ a single-arm design where everyone experiences the stressor. The simplistic approach of regressing change versus baseline yields biased estimates due to regression-to-the-mean. This package provides a method to correct the bias. It also allows covariates to be included. The method implemented in the package is described in Varadhan, R., Zhu, J., and Bandeen-Roche, K (2024), Biostatistics 25(4): 1094-1111.
Author: Ravi Varadhan [aut, cre], Jiafeng Zhu [ctb]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>

Diff between resilience versions 2024.1.2 dated 2024-08-22 and 2025.1.0 dated 2025-12-11

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Package stochtree updated to version 0.2.1 with previous version 0.2.0 dated 2025-11-22

Title: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference
Description: Flexible stochastic tree ensemble software. Robust implementations of Bayesian Additive Regression Trees (BART) Chipman, George, McCulloch (2010) <doi:10.1214/09-AOAS285> for supervised learning and Bayesian Causal Forests (BCF) Hahn, Murray, Carvalho (2020) <doi:10.1214/19-BA1195> for causal inference. Enables model serialization and parallel sampling and provides a low-level interface for custom stochastic forest samplers.
Author: Drew Herren [aut, cre] , Richard Hahn [aut], Jared Murray [aut], Carlos Carvalho [aut], Jingyu He [aut], Pedro Lima [ctb], stochtree contributors [cph], Eigen contributors [cph] , xgboost contributors [cph] , treelite contributors [cph] , Microsoft C [...truncated...]
Maintainer: Drew Herren <drewherrenopensource@gmail.com>

Diff between stochtree versions 0.2.0 dated 2025-11-22 and 0.2.1 dated 2025-12-11

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New package varPro with initial version 1.0.0
Package: varPro
Version: 1.0.0
Date: 2025-12-07
Title: Model-Independent Variable Selection via the Rule-Based Variable Priority
Author: Min Lu [aut], Aster K. Shear [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
BugReports: https://github.com/kogalur/varPro/issues/
Depends: R (>= 4.3.0),
Imports: randomForestSRC (>= 3.4.5), glmnet, parallel, foreach, gbm, BART, umap, survival
Suggests: mlbench, doMC, caret, MASS, igraph
SystemRequirements: OpenMP
Description: A new framework of variable selection, which instead of generating artificial covariates such as permutation importance and knockoffs, creates release rules to examine the affect on the response for each covariate where the conditional distribution of the response variable can be arbitrary and unknown.
License: GPL (>= 3)
URL: https://www.varprotools.org/ https://www.luminwin.net/ https://ishwaran.org/
NeedsCompilation: yes
Packaged: 2025-12-07 19:10:31 UTC; kogalur
Repository: CRAN
Date/Publication: 2025-12-11 19:20:02 UTC

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Package tgml updated to version 0.3.0 with previous version 0.2.0 dated 2025-09-24

Title: Tree Guided Machine Learning for Personalized Predictions and Precision Diagnostics
Description: Generalization of the classification and regression tree (CART) model that partitions subjects into terminal nodes and tailors machine learning model to each terminal node.
Author: Yunro Chung [aut, cre]
Maintainer: Yunro Chung <yunro.chung@asu.edu>

Diff between tgml versions 0.2.0 dated 2025-09-24 and 0.3.0 dated 2025-12-11

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New package jollofR with initial version 0.6.4
Package: jollofR
Title: Small Area Population Estimation by Demographics
Version: 0.6.4
Description: Automatic disaggregation of small1area population estimates by demographic groups (e.g., age, sex, race, marital status, educational level, etc) along with the estimates of uncertainty, using advanced Bayesian statistical modelling approaches based on integrated nested Laplace approximation (INLA) Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x> and stochastic partial differential equation (SPDE) methods Lindgren et al. (2011) <doi:10.1111/j.1467-9868.2011.00777.x>. The package implements hierarchical Bayesian modeling frameworks for small area estimation as described in Leasure et al. (2020) <doi:10.1073/pnas.1913050117> and Nnanatu et al. (2025) <doi:10.1038/s41467-025-59862-4>.
License: MIT + file LICENSE
URL: https://github.com/wpgp/jollofR/, https://wpgp.github.io/jollofR/
BugReports: https://github.com/wpgp/jollofR/issues
Depends: R (>= 4.1.0)
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Imports: terra, raster, ggplot2, dplyr, tidyr, sf, ggpubr, reshape2, utils
Suggests: INLA, withr, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-07 19:21:35 UTC; mohamedyusuf
Author: Chibuzor Christopher Nnanatu [aut, cre] , Mohamed A. Yusuf [aut] , Somnath Chaudhuri [aut] , Ortis Yankey [aut] , Attila N Lazar [aut] , Andrew J Tatem [aut]
Maintainer: Chibuzor Christopher Nnanatu <cc.nnanatu@soton.ac.uk>
Repository: CRAN
Date/Publication: 2025-12-11 19:20:07 UTC

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New package joinless with initial version 0.0.1
Package: joinless
Title: Exploratory Analysis of Relationships Between Variables
Version: 0.0.1
Maintainer: Braylin Alexander Jimenez Reynoso <braylinjr1511@gmail.com>
Description: Provides tools to explore and summarize relationship patterns between variables across one or multiple datasets. The package relies on efficient sampling strategies to estimate pairwise associations and supports quick exploratory data analysis for large or heterogeneous data sources.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), tibble
NeedsCompilation: no
Packaged: 2025-12-07 22:37:54 UTC; Braylin Jimenez
Author: Braylin Alexander Jimenez Reynoso [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-11 19:30:02 UTC

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Package GMAC updated to version 3.2 with previous version 3.1 dated 2022-03-17

Title: Genomic Mediation Analysis with Adaptive Confounding Adjustment
Description: Performs genomic mediation analysis with adaptive confounding adjustment (GMAC) proposed by Yang et al. (2017) <doi:10.1101/gr.216754.116>. It implements large scale mediation analysis and adaptively selects potential confounding variables to adjust for each mediation test from a pool of candidate confounders. The package is tailored for but not limited to genomic mediation analysis (e.g., cis-gene mediating trans-gene regulation pattern where an eQTL, its cis-linking gene transcript, and its trans-gene transcript play the roles as treatment, mediator and the outcome, respectively), restricting to scenarios with the presence of cis-association (i.e., treatment-mediator association) and random eQTL (i.e., treatment).
Author: Fan Yang [aut], Jiebiao Wang [aut, cre], Lin Chen [aut]
Maintainer: Jiebiao Wang <randel.wang@gmail.com>

Diff between GMAC versions 3.1 dated 2022-03-17 and 3.2 dated 2025-12-11

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Package geoprofiler updated to version 0.0.3 with previous version 0.0.2 dated 2025-04-10

Title: Perpendicular Line Transects for Geosciences
Description: Toolset to create perpendicular profile graphs and swath profiles. Method are based on coordinate rotation algorithm by Schaeben et al. (2024) <doi:10.1002/mma.9823>.
Author: Tobias Stephan [aut, cre]
Maintainer: Tobias Stephan <tobias.stephan1@yahoo.com>

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New package GACE with initial version 1.0.0
Package: GACE
Title: Generalized Adaptive Capped Estimator for Time Series Forecasting
Version: 1.0.0
Maintainer: Vinodhkumar Gunasekaran <vinoalles@gmail.com>
Description: Provides deterministic forecasting for weekly, monthly, quarterly, and yearly time series using the Generalized Adaptive Capped Estimator. The method includes preprocessing for missing and extreme values, extraction of multiple growth components (including long-term, short-term, rolling, and drift-based signals), volatility-aware asymmetric capping, optional seasonal adjustment via damped and normalized seasonal factors, and a recursive forecast formulation with moderated growth. The package includes a user-facing forecasting interface and a plotting helper for visualization. Related forecasting background is discussed in Hyndman and Athanasopoulos (2021) <https://otexts.com/fpp3/> and Hyndman and Khandakar (2008) <doi:10.18637/jss.v027.i03>. The method extends classical extrapolative forecasting approaches and is suited for operational and business planning contexts where stability and interpretability are important.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, stats, utils
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, forecast
VignetteBuilder: knitr
URL: https://github.com/vinoalles/GACE
BugReports: https://github.com/vinoalles/GACE/issues
NeedsCompilation: no
Packaged: 2025-12-07 20:32:14 UTC; vinodhkumargunasekaran
Author: Vinodhkumar Gunasekaran [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-11 19:20:18 UTC

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Package bWGR updated to version 2.2.17 with previous version 2.2.15 dated 2025-11-05

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>, <doi:10.1093/genetics/iyae179>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Author: Alencar Xavier [aut, cre] , William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut]
Maintainer: Alencar Xavier <alenxav@gmail.com>

Diff between bWGR versions 2.2.15 dated 2025-11-05 and 2.2.17 dated 2025-12-11

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Package WARDEN updated to version 2.0.1 with previous version 2.0.0 dated 2025-10-13

Title: Workflows for Health Technology Assessments in R using Discrete EveNts
Description: Toolkit to support and perform discrete event simulations with and without resource constraints in the context of health technology assessments (HTA). The package focuses on cost-effectiveness modelling and aims to be submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15' <https://sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>. More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.
Author: Javier Sanchez Alvarez [aut, cre], Gabriel Lemyre [ctb], Valerie Aponte Ribero [ctb]
Maintainer: Javier Sanchez Alvarez <javiersanchezeco@gmail.com>

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Package SEMdeep updated to version 1.1.1 with previous version 1.1.0 dated 2025-11-10

Title: Structural Equation Modeling with Deep Neural Network and Machine Learning Algorithms
Description: Training and validation of a custom (or data-driven) Structural Equation Models using Deep Neural Networks or Machine Learning algorithms, which extend the fitting procedures of the 'SEMgraph' R package <doi:10.32614/CRAN.package.SEMgraph>.
Author: Mario Grassi [aut], Barbara Tarantino [cre]
Maintainer: Barbara Tarantino <barbara.tarantino01@universitadipavia.it>

Diff between SEMdeep versions 1.1.0 dated 2025-11-10 and 1.1.1 dated 2025-12-11

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Package cellGeometry updated to version 0.5.7 with previous version 0.5.4 dated 2025-09-15

Title: Geometric Single Cell Deconvolution
Description: Deconvolution of bulk RNA-Sequencing data into proportions of cells based on a reference single-cell RNA-Sequencing dataset using high-dimensional geometric methodology.
Author: Myles Lewis [aut, cre] , Rachel Lau [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between cellGeometry versions 0.5.4 dated 2025-09-15 and 0.5.7 dated 2025-12-11

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Package GaussSuppression updated to version 1.2.3 with previous version 1.2.0 dated 2025-09-25

Title: Tabular Data Suppression using Gaussian Elimination
Description: A statistical disclosure control tool to protect tables by suppression using the Gaussian elimination secondary suppression algorithm (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6>. A suggestion is to start by working with functions SuppressSmallCounts() and SuppressDominantCells(). These functions use primary suppression functions for the minimum frequency rule and the dominance rule, respectively. Novel functionality for suppression of disclosive cells is also included. General primary suppression functions can be supplied as input to the general working horse function, GaussSuppressionFromData(). Suppressed frequencies can be replaced by synthetic decimal numbers as described in Langsrud (2019) <doi:10.1007/s11222-018-9848-9>.
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Hege Boevelstad [ctb] , Vidar Norstein Klungre [rev] , Jonas Lindblad [ctb], Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package feltr updated to version 0.1.0 with previous version 0.0.4 dated 2023-11-05

Title: Access the Felt API
Description: Upload, download, and edit internet maps with the Felt API (<https://developers.felt.com/rest-api/getting-started>). Allows users to create new maps, edit existing maps, and extract data. Provides tools for working with layers, which represent geographic data, and elements, which are interactive annotations. Spatial data accessed from the API is transformed to work with 'sf'.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

Diff between feltr versions 0.0.4 dated 2023-11-05 and 0.1.0 dated 2025-12-11

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Package ergm.sign updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-21

Title: Exponential-Family Models for Signed Networks
Description: Extends the 'ergm.multi' packages from the Statnet suite to fit (temporal) exponential-family random graph models for signed networks. The framework models positive and negative ties as interdependent, which allows estimation and testing of structural balance theory. The package also includes options for descriptive summaries, visualization, and simulation of signed networks. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Fritz, C., Mehrl, M., Thurner, P. W., & Kauermann, G. (2025) <doi:10.1017/pan.2024.21>.
Author: Marc Schalberger [cre], Cornelius Fritz [aut], Pavel Krivitsky [ctb]
Maintainer: Marc Schalberger <m.schalberger@fu-berlin.de>

Diff between ergm.sign versions 0.1.0 dated 2025-11-21 and 0.1.1 dated 2025-12-11

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Package diemr updated to version 1.5.2 with previous version 1.5.1 dated 2025-10-09

Title: Genome Polarization via Diagnostic Index Expectation Maximization
Description: Implements a likelihood-based method for genome polarization, identifying which alleles of SNV markers belong to either side of a barrier to gene flow. The approach co-estimates individual assignment, barrier strength, and divergence between sides, with direct application to studies of hybridization. Includes VCF-to-diem conversion and input checks, support for mixed ploidy and parallelization, and tools for visualization and diagnostic outputs. Based on diagnostic index expectation maximization as described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

Diff between diemr versions 1.5.1 dated 2025-10-09 and 1.5.2 dated 2025-12-11

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Package codalm updated to version 0.1.3 with previous version 0.1.2 dated 2021-07-26

Title: Transformation-Free Linear Regression for Compositional Outcomes and Predictors
Description: Implements the expectation-maximization (EM) algorithm as described in Fiksel et al. (2022) <doi:10.1111/biom.13465> for transformation-free linear regression for compositional outcomes and predictors.
Author: Jacob Fiksel [aut] , Abhirup Datta [ctb], Sandipan Pramanik [cre, ctb]
Maintainer: Sandipan Pramanik <sandy.pramanik@gmail.com>

Diff between codalm versions 0.1.2 dated 2021-07-26 and 0.1.3 dated 2025-12-11

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Package bibliometrix updated to version 5.2.1 with previous version 5.2.0 dated 2025-11-08

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It implements the comprehensive workflow for science mapping analysis proposed in Aria M. and Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>. 'bibliometrix' provides various routines for importing bibliographic data from 'SCOPUS', 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between bibliometrix versions 5.2.0 dated 2025-11-08 and 5.2.1 dated 2025-12-11

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Package BayesNSGP updated to version 0.2.0 with previous version 0.1.2 dated 2022-01-08

Title: Bayesian Analysis of Non-Stationary Gaussian Process Models
Description: Enables off-the-shelf functionality for fully Bayesian, nonstationary Gaussian process modeling. The approach to nonstationary modeling involves a closed-form, convolution-based covariance function with spatially-varying parameters; these parameter processes can be specified either deterministically (using covariates or basis functions) or stochastically (using approximate Gaussian processes). Stationary Gaussian processes are a special case of our methodology, and we furthermore implement approximate Gaussian process inference to account for very large spatial data sets (Finley, et al (2017) <doi:10.48550/arXiv.1702.00434>). Bayesian inference is carried out using Markov chain Monte Carlo methods via the "nimble" package, and posterior prediction for the Gaussian process at unobserved locations is provided as a post-processing step.
Author: Daniel Turek [aut, cre], Mark Risser [aut]
Maintainer: Daniel Turek <danielturek@gmail.com>

Diff between BayesNSGP versions 0.1.2 dated 2022-01-08 and 0.2.0 dated 2025-12-11

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Package bartCause updated to version 1.0-10 with previous version 1.0-9 dated 2024-09-16

Title: Causal Inference using Bayesian Additive Regression Trees
Description: Contains a variety of methods to generate typical causal inference estimates using Bayesian Additive Regression Trees (BART) as the underlying regression model (Hill (2012) <doi:10.1198/jcgs.2010.08162>).
Author: Vincent Dorie [aut, cre] , Jennifer Hill [aut]
Maintainer: Vincent Dorie <vdorie@gmail.com>

Diff between bartCause versions 1.0-9 dated 2024-09-16 and 1.0-10 dated 2025-12-11

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New package yaml12 with initial version 0.1.0
Package: yaml12
Title: Fast 'YAML' 1.2 Parser and Formatter
Version: 0.1.0
Description: A fast, correct, safe, and ergonomic 'YAML' 1.2 parser and generator written in 'Rust'. Convert between 'YAML' and simple 'R' objects with full support for multi-document streams, tags, anchors, and aliases. Offers opt-in handlers for custom tag behavior and round-trips common 'R' data structures. Implements the 'YAML' 1.2.2 specification from the 'YAML' Language Development Team (2021) <https://yaml.org/spec/1.2.2/>. Proudly supported by Posit.
License: MIT + file LICENSE
URL: https://posit-dev.github.io/r-yaml12/, https://github.com/posit-dev/r-yaml12
BugReports: https://github.com/posit-dev/r-yaml12/issues
Depends: R (>= 4.2)
Suggests: jsonlite, knitr, rmarkdown, testthat (>= 3.0.0), waldo, withr
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.70.0, xz
NeedsCompilation: yes
Packaged: 2025-12-03 19:56:58 UTC; tomasz
Author: Tomasz Kalinowski [aut, cre], Posit Software, PBC [cph, fnd] , Authors of the dependency Rust crates [cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>
Repository: CRAN
Date/Publication: 2025-12-11 15:50:02 UTC

More information about yaml12 at CRAN
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Package proxy updated to version 0.4-28 with previous version 0.4-27 dated 2022-06-09

Title: Distance and Similarity Measures
Description: Provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.
Author: David Meyer [aut, cre] , Christian Buchta [aut]
Maintainer: David Meyer <David.Meyer@R-project.org>

Diff between proxy versions 0.4-27 dated 2022-06-09 and 0.4-28 dated 2025-12-11

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Permanent link

Package lime updated to version 0.5.4 with previous version 0.5.3 dated 2022-08-19

Title: Local Interpretable Model-Agnostic Explanations
Description: When building complex models, it is often difficult to explain why the model should be trusted. While global measures such as accuracy are useful, they cannot be used for explaining why a model made a specific prediction. 'lime' (a port of the 'lime' 'Python' package) is a method for explaining the outcome of black box models by fitting a local model around the point in question an perturbations of this point. The approach is described in more detail in the article by Ribeiro et al. (2016) <doi:10.48550/arXiv.1602.04938>.
Author: Emil Hvitfeldt [aut, cre] , Thomas Lin Pedersen [aut] , Michael Benesty [aut]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package lessR updated to version 4.5 with previous version 4.4.5 dated 2025-08-22

Title: Less Code with More Comprehensive Results
Description: Each function replaces multiple standard R functions. For example, two function calls, Read() and CountAll(), generate summary statistics for all variables in the data frame, plus histograms and bar charts. Other functions provide data aggregation via pivot tables; comprehensive regression, ANOVA, and t-test; visualizations including integrated Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve; reading multiple data formats with the same call; variable labels; time series with aggregation and forecasting; color themes; and Trellis (facet) graphics. Also includes a confirmatory factor analysis of multiple-indicator measurement models, pedagogical routines for data simulation (e.g., Central Limit Theorem), generation and rendering of regression instructions for interpretative output, and both interactive construction of visualizations and interactive visualizations with plotly.
Author: David W. Gerbing [aut, cre]
Maintainer: David W. Gerbing <gerbing@pdx.edu>

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Package aorsf updated to version 0.1.6 with previous version 0.1.5 dated 2024-05-29

Title: Accelerated Oblique Random Forests
Description: Fit, interpret, and compute predictions with oblique random forests. Includes support for partial dependence, variable importance, passing customized functions for variable importance and identification of linear combinations of features. Methods for the oblique random survival forest are described in Jaeger et al., (2023) <DOI:10.1080/10618600.2023.2231048>.
Author: Byron Jaeger [aut, cre] , Nicholas Pajewski [ctb], Sawyer Welden [ctb], Christopher Jackson [rev], Marvin Wright [rev], Lukas Burk [rev]
Maintainer: Byron Jaeger <byron.jaeger@gmail.com>

Diff between aorsf versions 0.1.5 dated 2024-05-29 and 0.1.6 dated 2025-12-11

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New package FRCI with initial version 0.1.0
Package: FRCI
Title: Fuzzy & Randomized Confidence Intervals
Version: 0.1.0
Description: Contains the methods proposed by Geyer and Meeden (2005)<doi:10.1214/088342305000000340> and Trigo et al. (2025) <doi:10.47749/T/UNICAMP.2025.1500297> to construct fuzzy confidence intervals. Compute and plot the fuzzy membership functions of the methods, and the expected length compared with the infimum.
License: GPL-3
Imports: DescTools, calculus, ump, zipfR, graphics, stats
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-07 01:45:50 UTC; caetn
Author: Carlos Henrique Trigo Nasser Felix [aut, cre], Nancy Garcia [aut], Alex Sousa [aut]
Maintainer: Carlos Henrique Trigo Nasser Felix <c214344@dac.unicamp.br>
Repository: CRAN
Date/Publication: 2025-12-11 14:10:02 UTC

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New package wsMed with initial version 1.0.2
Package: wsMed
Title: Within-Subject Mediation Analysis Using Structural Equation Modeling
Version: 1.0.2
Description: Within-subject mediation analysis using structural equation modeling. Examine how changes in an outcome variable between two conditions are mediated through one or more variables. Supports within-subject mediation analysis using the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>, and extends Monte Carlo confidence interval estimation to missing data scenarios using the 'semmcci' package by Pesigan and Cheung (2023) <doi:10.3758/s13428-023-02114-4>.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Encoding: UTF-8
Suggests: rmarkdown, devtools, testthat
Imports: knitr, lavaan, semmcci, mice, semboottools, MASS, rlang, dplyr, ggplot2, methods, stats
VignetteBuilder: knitr
LazyData: true
URL: https://yangzhen1999.github.io/wsMed/
BugReports: https://github.com/Yangzhen1999/wsMed/issues
NeedsCompilation: no
Packaged: 2025-12-06 12:34:07 UTC; Administrator
Author: Wendie Yang [aut, cre] , Shu Fai Cheung [aut]
Maintainer: Wendie Yang <1581075494q@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:30:02 UTC

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New package svgedit with initial version 1.0.0
Package: svgedit
Title: Insert Graphs, Images and Text in SVG Files
Version: 1.0.0
Description: Edit SVG files created in 'Inkscape' by replacing placeholders (e.g. a rectangle element or {} in a text box) by 'ggplot2' objects, images or text. This helps automate the creation of figures with complex layouts.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, rlang, xml2, ggplot2, base64enc
Suggests: palmerpenguins, testthat (>= 3.0.0), svglite, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/DanielThedie/svgedit
BugReports: https://github.com/DanielThedie/svgedit/issues
NeedsCompilation: no
Packaged: 2025-12-06 17:09:41 UTC; daniel
Author: Daniel Thedie [aut, cre, cph]
Maintainer: Daniel Thedie <daniel.thedie@ed.ac.uk>
Repository: CRAN
Date/Publication: 2025-12-11 13:50:02 UTC

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New package survlab with initial version 0.1.0
Package: survlab
Title: Survival Model-Based Imputation for Laboratory Non-Detect Data
Version: 0.1.0
Description: Implements survival-model-based imputation for censored laboratory measurements, including Tobit-type models with several distribution options. Suitable for data with values below detection or quantification limits, the package identifies the best-fitting distribution and produces realistic imputations that respect the censoring thresholds.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: data.table (>= 1.17.0), stats, survival (>= 3.0.0), truncnorm (>= 1.0.0)
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
URL: https://lpereira-ue.github.io/survlab/, https://github.com/lpereira-ue/survlab
NeedsCompilation: no
Packaged: 2025-12-06 16:28:23 UTC; lpereira
Author: Luis Pereira [aut, cre] , Paulo Infante [aut] , Teresa Ferreira [ths] , Paulo Quaresma [ths]
Maintainer: Luis Pereira <d57177@alunos.uevora.pt>
Repository: CRAN
Date/Publication: 2025-12-11 13:40:02 UTC

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New package Ruido with initial version 1.0.0
Package: Ruido
Title: Soundscape Background Noise, Power, and Saturation
Version: 1.0.0
Description: Accessible and flexible implementation of three ecoacoustic indices that are less commonly available in existing R frameworks: Background Noise, Soundscape Power and Soundscape Saturation. The functions were design to accommodate a variety of sampling designs. Users can tailor calculations by specifying spectrogram time bin size, amplitude thresholds and normality tests. By simplifying computation and standardizing reproducible methods, the package aims to support ecoacoustics studies. For more details about the indices read Towsey (2014) <doi:10.1016/j.procs.2014.05.063> and Burivalova (2017) <doi:10.1111/cobi.12968>.
Depends: R(>= 4.3.0)
Imports: methods, tuneR, signal, nortest
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, spelling
Maintainer: Arthur Igor da Fonseca-Freire <arthur.igorr@gmail.com>
BugReports: https://github.com/Arthurigorr/Ruido/issues
URL: https://github.com/Arthurigorr/Ruido
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-05 19:32:59 UTC; arthurigorr
Author: Arthur Igor da Fonseca-Freire [aut, cre, cph], Weslley Geremias dos Santos [ctb], Lucas Rodriguez Forti [ctb]
Repository: CRAN
Date/Publication: 2025-12-11 13:30:19 UTC

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New package nadaverse with initial version 0.1.0
Package: nadaverse
Title: Browse Microdata Catalogs Using 'NADA' REST API
Version: 0.1.0
Date: 2025-11-18
Description: Provides a unified, programmatic interface for searching, browsing, and retrieving metadata from various international organization data repositories that use the National Data Archive ('NADA') software, such as the World Bank, 'FAO', and the International Household Survey Network ('IHSN'). Functions allow users to discover available data collections, country codes, and access types, perform complex searches using keyword and spatial/temporal filters, and retrieve detailed study information, including file lists and variable-level data dictionaries. It simplifies access to microdata for researchers and policy analysts globally.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, httr2
URL: https://github.com/guturago/nadaverse
BugReports: https://github.com/guturago/nadaverse/issues
Suggests: httptest2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-06 19:11:17 UTC; Gute
Author: Gutama Girja Urago [aut, cre, cph]
Maintainer: Gutama Girja Urago <girjagutama@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:50:07 UTC

More information about nadaverse at CRAN
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New package modernBoot with initial version 0.1.1
Package: modernBoot
Title: Modern Resampling Methods: Bootstraps, Wild, Block, Permutation, and Selection Guidance
Version: 0.1.1
Description: Implements modern resampling and permutation methods for robust statistical inference without restrictive parametric assumptions. Provides bias-corrected and accelerated (BCa) bootstrap (Efron and Tibshirani (1993) <doi:10.1201/9780429246593>), wild bootstrap for heteroscedastic regression (Liu (1988) <doi:10.1214/aos/1176351062>, Davidson and Flachaire (2008) <doi:10.1016/j.jeconom.2008.08.003>), block bootstrap for time series (Politis and Romano (1994) <doi:10.1080/01621459.1994.10476870>), and permutation-based multiple testing correction (Westfall and Young (1993) <ISBN:0-471-55761-7>). Methods handle non-normal data, heteroscedasticity, time series correlation, and multiple comparisons.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats, boot, future, future.apply
Suggests: testthat (>= 3.0.0), covr, pkgdown, rhub
URL: https://github.com/ikrakib/modernBoot
BugReports: https://github.com/ikrakib/modernBoot/issues
NeedsCompilation: no
Packaged: 2025-12-06 18:34:53 UTC; hello
Author: Ibrahim Kholil Rakib [aut, cre]
Maintainer: Ibrahim Kholil Rakib <ikrakib1010@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:50:13 UTC

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New package irls with initial version 1.0
Package: irls
Title: Generalised Linear Models via Iteratively Reweighted Least Squares
Version: 1.0
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut], Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Description: Generalised linear models via the iteratively reweighted least squares algorithm. The functions perform logistic, Poisson and Gamma regression (ISBN:9780412317606), either for a single model or many regression models in a column-wise fashion.
License: GPL (>= 2)
Depends: R (>= 4.2)
Imports: Rcpp (>= 1.0.13)
LinkingTo: Rcpp (>= 1.0.13), RcppEigen
Suggests: Rfast, Rfast2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-12-06 13:43:54 UTC; Administrator
Repository: CRAN
Date/Publication: 2025-12-11 13:40:07 UTC

More information about irls at CRAN
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New package impermanentlosscalc with initial version 0.1.0
Package: impermanentlosscalc
Title: Calculate Impermanent Loss in Automated Market Maker (AMM) Liquidity Pools
Version: 0.1.0
Description: Computes the key metrics for assessing the performance of a liquidity provider (LP) position in a weighted multi-asset Automated Market Maker (AMM) pool. Calculates the nominal and percentage impermanent loss (IL) by comparing the portfolio value inside the pool (based on the weighted geometric mean of price ratios) against the value of simply holding the assets outside the pool (based on the weighted arithmetic mean). The primary function, `impermanent_loss()`, incorporates the effect of earned trading fees to provide the LP's net profit and loss relative to a holding strategy, using a methodology derived from Tiruviluamala, N., Port, A., and Lewis, E. (2022) <doi:10.48550/arXiv.2203.11352>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-06 16:06:01 UTC; amber
Author: Amber Krause [aut, cre]
Maintainer: Amber Krause <amber32k@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:40:11 UTC

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New package hypothesize with initial version 0.10.0
Package: hypothesize
Title: A Consistent API for Hypothesis Testing
Version: 0.10.0
Description: Provides a consistent API for hypothesis testing built on principles from 'Structure and Interpretation of Computer Programs': data abstraction, closure (combining tests yields tests), and higher-order functions (transforming tests). Implements z-tests, Wald tests, likelihood ratio tests, Fisher's method for combining p-values, and multiple testing corrections. Designed for use by other packages that want to wrap their hypothesis tests in a consistent interface.
Encoding: UTF-8
Maintainer: Alexander Towell <lex@metafunctor.com>
License: MIT + file LICENSE
ByteCompile: true
Imports: stats
URL: https://github.com/queelius/hypothesize, https://queelius.github.io/hypothesize/
BugReports: https://github.com/queelius/hypothesize/issues
Suggests: testthat (>= 3.0.0), rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-05 18:08:28 UTC; spinoza
Author: Alexander Towell [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-11 13:20:02 UTC

More information about hypothesize at CRAN
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New package fjoin with initial version 0.1.0
Package: fjoin
Title: Data Frame Joins Leveraging 'data.table'
Version: 0.1.0
Description: Extends 'data.table' join functionality, lets it work with any data frame class, and provides a familiar 'x'/'y'-style interface, enabling broad use across R. Offers NA-safe matching by default, on-the-fly column selection, multiple match-handling on both sides, 'x' or 'y' row order, and a row origin indicator. Performs inner, left, right, full, semi- and anti-joins with equality and inequality conditions, plus cross joins. Specific support for 'data.table', (grouped) tibble, and 'sf'/'sfc' objects and their attributes; returns a plain data frame otherwise. Avoids data-copying of inputs and outputs. Allows displaying the 'data.table' code instead of (or as well as) executing it.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.3.0)
Imports: data.table
Suggests: dplyr (>= 1.1.0), sf, testthat (>= 3.0.0), knitr, rmarkdown, quarto, bench, ggplot2
URL: https://trobx.github.io/fjoin/
BugReports: https://github.com/trobx/fjoin/issues
VignetteBuilder: knitr, quarto
NeedsCompilation: no
Packaged: 2025-12-05 22:00:23 UTC; Toby
Author: Toby Robertson [aut, cre]
Maintainer: Toby Robertson <trobx@proton.me>
Repository: CRAN
Date/Publication: 2025-12-11 13:30:08 UTC

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Package CoxBoost readmission to version 1.5.1 with previous version 1.4 dated 2013-05-10

Title: Cox Models by Likelihood Based Boosting for a Single Survival Endpoint or Competing Risks
Description: Provides routines for fitting Cox models by likelihood based boosting for single event survival data with right censoring or in the presence of competing risks. The methodology is described in Binder and Schumacher (2008) <doi:10.1186/1471-2105-9-14> and Binder et al. (2009) <doi:10.1093/bioinformatics/btp088>.
Author: John Zobolas [cre, aut] , Harald Binder [aut]
Maintainer: John Zobolas <bblodfon@gmail.com>

This is a re-admission after prior archival of version 1.4 dated 2013-05-10

Diff between CoxBoost versions 1.4 dated 2013-05-10 and 1.5.1 dated 2025-12-11

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New package bpvars with initial version 1.0
Package: bpvars
Title: Forecasting with Bayesian Panel Vector Autoregressions
Description: Provides Bayesian estimation and forecasting of dynamic panel data using Bayesian Panel Vector Autoregressions with hierarchical prior distributions. The models include country-specific VARs that share a global prior distribution that extend the model by Jarociński (2010) <doi:10.1002/jae.1082>. Under this prior expected value, each country's system follows a global VAR with country-invariant parameters. Further flexibility is provided by the hierarchical prior structure that retains the Minnesota prior interpretation for the global VAR and features estimated prior covariance matrices, shrinkage, and persistence levels. Bayesian forecasting is developed for models including exogenous variables, allowing conditional forecasts given the future trajectories of some variables and restricted forecasts assuring that rates are forecasted to stay positive and less than 100. The package implements the model specification, estimation, and forecasting routines, facilitating coherent workflo [...truncated...]
Version: 1.0
Date: 2025-12-02
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>
License: GPL (>= 3)
Depends: R (>= 4.1.0), bsvars (>= 3.2)
Imports: R6, Rcpp (>= 1.0.12), RcppProgress, RcppTN, tmvtnsim, generics
LinkingTo: bsvars, Rcpp, RcppArmadillo, RcppProgress, RcppTN
Suggests: tinytest
URL: https://bsvars.org/bpvars/
BugReports: https://github.com/bsvars/bpvars/issues
LazyData: true
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-12-03 05:17:02 UTC; twozniak
Author: Tomasz Wozniak [aut, cre] , Miguel Sanchez-Martinez [ctb], International Labour Organization [cph]
Repository: CRAN
Date/Publication: 2025-12-11 14:00:02 UTC

More information about bpvars at CRAN
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New package blockr.dock with initial version 0.1.0
Package: blockr.dock
Title: A Docking Layout Manager for 'blockr'
Version: 0.1.0
Description: Building on the docking layout manager provided by 'dockViewR', this provides a flexible front-end to 'blockr.core'. It provides an extension mechanism which allows for providing means to manipulate a board object via panel-based user interface components.
URL: https://bristolmyerssquibb.github.io/blockr.dock/
BugReports: https://github.com/BristolMyersSquibb/blockr.dock/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: blockr.core (>= 0.1.1), bsicons, shiny, shinyjs, bslib, glue, dockViewR (>= 0.2.1), htmltools, cli, shinyWidgets, jsonlite
Suggests: testthat (>= 3.0.0), DT, colorspace, methods, withr, shinytest2
NeedsCompilation: no
Packaged: 2025-12-06 14:23:01 UTC; nbennett
Author: Nicolas Bennett [aut, cre], David Granjon [aut]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>
Repository: CRAN
Date/Publication: 2025-12-11 13:30:14 UTC

More information about blockr.dock at CRAN
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Package mesonet updated to version 0.0.2 with previous version 0.0.1 dated 2025-07-28

Title: Download and Process Oklahoma Mesonet Data
Description: A collection of functions to download and process weather data from the Oklahoma Mesonet <https://mesonet.org>. Functions are available for downloading station metadata, downloading Mesonet time series (MTS) files, importing MTS files into R, and converting soil temperature change measurements into soil matric potential and volumetric soil moisture.
Author: Phillip D. Alderman [aut, cre]
Maintainer: Phillip D. Alderman <phillip.alderman@okstate.edu>

Diff between mesonet versions 0.0.1 dated 2025-07-28 and 0.0.2 dated 2025-12-11

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Package scCustomize updated to version 3.2.4 with previous version 3.2.3 dated 2025-12-09

Title: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing
Description: Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430> RRID:SCR_024675.
Author: Samuel Marsh [aut, cre] , Ming Tang [ctb], Velina Kozareva [ctb], Lucas Graybuck [ctb], Zoe Clarke [ctb]
Maintainer: Samuel Marsh <sccustomize@gmail.com>

Diff between scCustomize versions 3.2.3 dated 2025-12-09 and 3.2.4 dated 2025-12-11

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Package sars updated to version 2.1.0 with previous version 2.0.0 dated 2025-03-03

Title: Fit and Compare Species-Area Relationship Models Using Multimodel Inference
Description: Implements the basic elements of the multi-model inference paradigm for up to twenty species-area relationship models (SAR), using simple R list-objects and functions, as in Triantis et al. 2012 <DOI:10.1111/j.1365-2699.2011.02652.x>. The package is scalable and users can easily create their own model and data objects. Additional SAR related functions are provided.
Author: Thomas J. Matthews [aut, cre] , Francois Guilhaumon [aut] , Kevin Cazelles [rev]
Maintainer: Thomas J. Matthews <txm676@gmail.com>

Diff between sars versions 2.0.0 dated 2025-03-03 and 2.1.0 dated 2025-12-11

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More information about sars at CRAN
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Package plotthis updated to version 0.9.0 with previous version 0.8.2 dated 2025-11-10

Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

Diff between plotthis versions 0.8.2 dated 2025-11-10 and 0.9.0 dated 2025-12-11

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Package hydroEvents updated to version 0.13.0 with previous version 0.12.0 dated 2025-02-12

Title: Extract Event Statistics in Hydrologic Time Series
Description: Events from individual hydrologic time series are extracted, and events are matched across multiple time series. The package has been applied in studies such as Wasko and Guo (2022) <doi:10.1002/hyp.14563> and Mohammadpour Khoie, Guo and Wasko (2025) <doi:10.1016/j.envsoft.2025.106521>.
Author: Conrad Wasko [aut, cre], Danlu Guo [aut], Mohammad Masoud Mohammadpour Khoie [ctb]
Maintainer: Conrad Wasko <conrad.wasko@gmail.com>

Diff between hydroEvents versions 0.12.0 dated 2025-02-12 and 0.13.0 dated 2025-12-11

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Package countprop updated to version 1.1.1 with previous version 1.0.1 dated 2023-08-18

Title: Calculate Model-Based Metrics of Proportionality on Count-Based Compositional Data
Description: Calculates metrics of proportionality using the logit-normal multinomial model. It can also provide empirical and plugin estimates of these metrics.
Author: Kevin McGregor [aut, cre, cph], Nneka Okaeme [aut]
Maintainer: Kevin McGregor <kevin.mcgregor@umanitoba.ca>

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Package radiant.multivariate (with last version 1.6.7) was removed from CRAN

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

2025-03-10 1.6.7
2024-05-19 1.6.6
2023-09-23 1.6.1
2023-09-11 1.6.0

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Package radiant (with last version 1.6.6) was removed from CRAN

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

2024-05-21 1.6.6
2023-12-17 1.6.1
2023-09-11 1.6.0

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Package moreparty (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:

2025-09-12 0.4.2
2023-11-22 0.4
2023-10-05 0.3.3

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Package radiant.model (with last version 1.6.8) was removed from CRAN

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

2025-10-01 1.6.8
2024-10-11 1.6.7
2024-05-15 1.6.6
2023-10-16 1.6.3
2023-09-10 1.6.0

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Package redistverse (with last version 0.1.1) was removed from CRAN

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

2025-10-27 0.1.1
2024-06-18 0.1.0

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Package vip (with last version 0.4.3) was removed from CRAN

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

2025-12-10 0.4.3
2025-12-02 0.4.2
2023-08-21 0.4.1

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Package flowml (with last version 0.1.3) was removed from CRAN

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

2024-02-16 0.1.3
2023-10-09 0.1.2

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Package geomander (with last version 2.5.0) was removed from CRAN

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

2025-09-01 2.5.0
2024-02-15 2.3.0
2023-04-16 2.2.1
2022-06-23 2.1.0
2022-03-06 2.0.3
2021-12-08 2.0.2
2021-06-16 1.0.8
2021-06-14 1.0.7

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Package alarmdata (with last version 0.2.1) was removed from CRAN

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

2024-02-28 0.2.1

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Package prettyglm (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:

2023-09-06 1.0.1

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Package srppp updated to version 2.0.0 with previous version 1.1.0 dated 2025-07-17

Title: Read the Swiss Register of Plant Protection Products
Description: Generate data objects from XML versions of the Swiss Register of Plant Protection Products. An online version of the register can be accessed at <https://www.psm.admin.ch/de/produkte>. There is no guarantee of correspondence of the data read in using this package with that online version, or with the original registration documents. Also, the Federal Food Safety and Veterinary Office, coordinating the authorisation of plant protection products in Switzerland, does not answer requests regarding this package.
Author: Daniel Baumgartner [ctb] , Marcel Mathis [rev, ctb], Romualdus Kasteel [rev] , Elisabeth Lutz [ctb], Johannes Ranke [aut, cre] , Agroscope [cph]
Maintainer: Johannes Ranke <johannes.ranke@agroscope.admin.ch>

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Package OrgHeatmap updated to version 0.3.2 with previous version 0.3.1 dated 2025-11-26

Title: Visualization Tool for Numerical Data on Human/Mouse Organs and Organelles
Description: A tool for visualizing numerical data (e.g., gene expression, protein abundance) on predefined anatomical maps of human/mouse organs and subcellular organelles. It supports customization of color schemes, filtering by organ systems (for organisms) or organelle types, and generation of optional bar charts for quantitative comparison. The package integrates coordinate data for organs and organelles to plot anatomical/subcellular contours, mapping data values to specific structures for intuitive visualization of biological data distribution.The underlying method was described in the preprint by Zhou et al. (2022) <doi:10.1101/2022.09.07.506938>.
Author: Qirui Shen [aut, cre]
Maintainer: Qirui Shen <shenqr@i.smu.edu.cn>

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Package DIVINE updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-11

Title: Curated Datasets and Tools for Epidemiological Data Analysis
Description: Curated datasets and intuitive data management functions to streamline epidemiological data workflows. It is designed to support researchers in quickly accessing clean, structured data and applying essential cleaning, summarizing, visualization, and export operations with minimal effort. Whether you're preparing a cohort for analysis or creating reports, 'DIVINE' makes the process more efficient, transparent, and reproducible.
Author: Natalia Pallares [aut, cre], Joao Carmezim [aut], Pau Satorra [aut], Lucia Blanc [aut], Cristian Tebe [aut]
Maintainer: Natalia Pallares <npallares@igtp.cat>

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Package vcdExtra updated to version 0.8.7 with previous version 0.8-6 dated 2025-07-24

Title: 'vcd' Extensions and Additions
Description: Provides additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data and the 'gnm' package for Generalized Nonlinear Models. In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and adds a 3D version in 'mosaic3d'. Additionally, methods are provided for comparing and visualizing lists of 'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer.
Author: Michael Friendly [aut, cre] , Heather Turner [ctb], David Meyer [ctb], Achim Zeileis [ctb] , Duncan Murdoch [ctb], David Firth [ctb], Matt Kumar [ctb], Shuguang Sun [ctb], Daniel Sabanes Bove [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package reqres updated to version 1.2.0 with previous version 1.1.0 dated 2025-11-06

Title: Powerful Classes for HTTP Requests and Responses
Description: In order to facilitate parsing of http requests and creating appropriate responses this package provides two classes to handle a lot of the housekeeping involved in working with http exchanges. The infrastructure builds upon the 'rook' specification and is thus well suited to be combined with 'httpuv' based web servers.
Author: Thomas Lin Pedersen [cre, aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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Package kendallknight updated to version 1.0.1 with previous version 1.0.0 dated 2025-08-31

Title: Efficient Implementation of Kendall's Correlation Coefficient Computation
Description: The computational complexity of the implemented algorithm for Kendall's correlation is O(n log(n)), which is faster than the base R implementation with a computational complexity of O(n^2). For small vectors (i.e., less than 100 observations), the time difference is negligible. However, for larger vectors, the speed difference can be substantial and the numerical difference is minimal. The references are Knight (1966) <doi:10.2307/2282833>, Abrevaya (1999) <doi:10.1016/S0165-1765(98)00255-9>, Christensen (2005) <doi:10.1007/BF02736122> and Emara (2024) <https://learningcpp.org/>. This implementation is described in Vargas Sepulveda (2025) <doi:10.1371/journal.pone.0326090>.
Author: Mauricio Vargas Sepulveda [aut, cre] , Loader Catherine [ctb] ), Ross Ihaka [ctb] )
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

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Package firesale updated to version 0.1.1 with previous version 0.1.0 dated 2025-08-27

Title: Datastore for 'fiery' Web Servers
Description: Provides a persistent datastore for 'fiery' apps. The datastore is build on top of the 'storr' package and can thus be based on a variety of backends. The datastore contains both a global and session-scoped section.
Author: Thomas Lin Pedersen [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between firesale versions 0.1.0 dated 2025-08-27 and 0.1.1 dated 2025-12-11

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Package explore updated to version 1.4.0 with previous version 1.3.6 dated 2025-10-02

Title: Simplifies Exploratory Data Analysis
Description: Interactive data exploration with one line of code, automated reporting or use an easy to remember set of tidy functions for low code exploratory data analysis.
Author: Roland Krasser [aut, cre]
Maintainer: Roland Krasser <roland.krasser@gmail.com>

Diff between explore versions 1.3.6 dated 2025-10-02 and 1.4.0 dated 2025-12-11

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Package cpp11bigwig updated to version 0.1.3 with previous version 0.1.2 dated 2025-08-18

Title: Read bigWig and bigBed Files
Description: Read bigWig and bigBed files using "libBigWig" <https://github.com/dpryan79/libBigWig>. Provides lightweight access to the binary bigWig and bigBed formats developed by the UCSC Genome Browser group.
Author: Jay Hesselberth [aut, cre], RNA Bioscience Initiative [fnd, cph], Devon Ryan [cph]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

Diff between cpp11bigwig versions 0.1.2 dated 2025-08-18 and 0.1.3 dated 2025-12-11

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Package chillR updated to version 0.77 with previous version 0.76 dated 2024-11-14

Title: Statistical Methods for Phenology Analysis in Temperate Fruit Trees
Description: The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat (e.g. see Luedeling (2012) <doi:10.1016/j.scienta.2012.07.011>). 'chillR' contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. 'chillR' also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records (Lued [...truncated...]
Author: Eike Luedeling [aut, cre] , Lars Caspersen [aut] , Eduardo Fernandez [aut]
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

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Wed, 10 Dec 2025

Package BioMoR updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-03

Title: Bioinformatics Modeling with Recursion and Autoencoder-Based Ensemble
Description: Tools for bioinformatics modeling using recursive transformer-inspired architectures, autoencoders, random forests, XGBoost, and stacked ensemble models. Includes utilities for cross-validation, calibration, benchmarking, and threshold optimization in predictive modeling workflows. The methodology builds on ensemble learning (Breiman 2001 <doi:10.1023/A:1010933404324>), gradient boosting (Chen and Guestrin 2016 <doi:10.1145/2939672.2939785>), autoencoders (Hinton and Salakhutdinov 2006 <doi:10.1126/science.1127647>), and recursive transformer efficiency approaches such as Mixture-of-Recursions (Bae et al. 2025 <doi:10.48550/arXiv.2507.10524>).
Author: MD. Arshad [aut, cre]
Maintainer: MD. Arshad <arshad10867c@gmail.com>

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Package anomo updated to version 1.2.2 with previous version 1.0.0 dated 2025-02-23

Title: Analysis of Moderation, Statistical Power, and Optimal Design for Studies Detecting Difference and Equivalence
Description: Analysis of moderation (ANOMO) method conceptualizes the difference and equivalence tests as a moderation problem to test the difference and equivalence of two estimates (e.g., two means or two effects).
Author: Zuchao Shen [aut, cre]
Maintainer: Zuchao Shen <zuchao.shen@gmail.com>

Diff between anomo versions 1.0.0 dated 2025-02-23 and 1.2.2 dated 2025-12-10

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Package wdnr.gis updated to version 0.1.7 with previous version 0.1.6 dated 2025-10-13

Title: Pull Spatial Layers from 'WDNR ArcGIS REST API'
Description: Functions for finding and pulling data from the 'Wisconsin Department of Natural Resources ArcGIS REST APIs' <https://dnrmaps.wi.gov/arcgis/rest/services> and <https://dnrmaps.wi.gov/arcgis2/rest/services>.
Author: Paul Frater [aut, cre] , Zac Driscoll [aut]
Maintainer: Paul Frater <paul.frater@wisconsin.gov>

Diff between wdnr.gis versions 0.1.6 dated 2025-10-13 and 0.1.7 dated 2025-12-10

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New package treesitter.c with initial version 0.0.1
Package: treesitter.c
Title: 'R' Bindings to the 'C' Grammar for Tree-Sitter
Version: 0.0.1
Description: Provides bindings to a 'C' grammar for Tree-sitter, to be used alongside the 'treesitter' package. Tree-sitter builds concrete syntax trees for source files and can efficiently update them as files are edited.
License: GPL-3
Depends: R (>= 4.3.0)
Imports: treesitter
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://sounkou-bioinfo.github.io/treesitter.c/, https://github.com/sounkou-bioinfo/treesitter.c
BugReports: https://github.com/sounkou-bioinfo/treesitter.c/issues
NeedsCompilation: yes
Packaged: 2025-12-04 16:21:17 UTC; sounkoutoure
Author: Sounkou Mahamane Toure [aut, cre], Tree-sitter authors [cph]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:10:02 UTC

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New package spatialAtomizeR with initial version 0.2.3
Package: spatialAtomizeR
Title: Spatial Analysis with Misaligned Data Using Atom-Based Regression Models
Version: 0.2.3
Date: 2025-11-28
Description: Implements atom-based regression models (ABRM) for analyzing spatially misaligned data. Provides functions for simulating misaligned spatial data, preparing NIMBLE model inputs, running MCMC diagnostics, and comparing different spatial analysis methods including dasymetric mapping. All main functions return S3 objects with print(), summary(), and plot() methods for intuitive result exploration. Methods are described in Nethery et al. (2023) <doi:10.1101/2023.01.10.23284410>. Further methodological details and software implementation are described in Qian et al. (in review).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: sp, sf, spdep, MASS, raster, dplyr, tidyr, ggplot2, reshape2, nimble, coda, BiasedUrn, stats, utils, grDevices, methods
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/bellayqian/spatialAtomizeR
BugReports: https://github.com/bellayqian/spatialAtomizeR/issues
NeedsCompilation: no
Packaged: 2025-12-04 19:23:15 UTC; anemos
Author: Yunzhe Qian [aut, cre], Rachel Nethery [aut], Nancy Krieger [ctb] , Nykesha Johnson [ctb]
Maintainer: Yunzhe Qian <qyzanemos@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:10:07 UTC

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New package qbrms with initial version 1.0.1
Package: qbrms
Title: Quick Bayesian Regression Models Using 'INLA' with 'brms' Syntax
Version: 1.0.1
Date: 2025-11-26
Maintainer: Tony Myers <admyers@aol.com>
Description: Provides a 'brms'-like interface for fitting Bayesian regression models using 'INLA' (Integrated Nested Laplace Approximations) and 'TMB' (Template Model Builder). The package offers faster model fitting while maintaining familiar 'brms' syntax and output formats. Supports fixed and mixed effects models, multiple probability distributions, conditional effects plots, and posterior predictive checks with summary methods compatible with 'brms'. 'TMB' integration provides fast ordinal regression capabilities. Implements methods adapted from 'emmeans' for marginal means estimation and 'bayestestR' for Bayesian inference assessment. Methods are based on Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x>, Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>, Lenth (2016) <doi:10.18637/jss.v069.i01>, Bürkner (2017) <doi:10.18637/jss.v080.i01>, Makowski et al. (2019) <doi:10.21105/joss.01541>, and Kruschke (2014, ISBN:9780124058880).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.0.0)
Imports: methods, ggplot2, mvtnorm, cowplot, lme4, patchwork, posterior, scales, shiny, miniUI, future, future.apply, loo, TMB, jsonlite
Suggests: testthat (>= 3.0.0), INLA, knitr, rmarkdown, DHARMa, MASS, ordinal, rstudioapi, emmeans, bayestestR, gridExtra, data.table, tibble, quantreg, readxl, haven
LinkingTo: Rcpp, RcppEigen, TMB
URL: https://github.com/Tony-Myers/qbrms
BugReports: https://github.com/Tony-Myers/qbrms/issues
Additional_repositories: https://inla.r-inla-download.org/R/stable/
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-12-04 18:58:52 UTC; tonymyers
Author: Tony Myers [aut, cre]
Repository: CRAN
Date/Publication: 2025-12-10 21:10:13 UTC

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New package osdc with initial version 0.9.17
Package: osdc
Title: Open Source Diabetes Classifier for Danish Registers
Version: 0.9.17
Description: The algorithm first identifies a population of individuals from Danish register data with any type of diabetes as individuals with two or more inclusion events. Then, it splits this population into individuals with either type 1 diabetes or type 2 diabetes by identifying individuals with type 1 diabetes and classifying the remainder of the diabetes population as having type 2 diabetes.
License: MIT + file LICENSE
URL: https://github.com/steno-aarhus/osdc, https://steno-aarhus.github.io/osdc/
BugReports: https://github.com/steno-aarhus/osdc/issues
Depends: R (>= 4.2.0)
Imports: checkmate, cli, codeCollection, dbplyr, dplyr, duckplyr, fabricatr, lifecycle, lubridate, purrr, rlang, rvest, stats, tidyselect, utils
Suggests: glue, knitr, quarto, rmarkdown, spelling, stringr, testthat (>= 3.0.0), tidyr, tibble
VignetteBuilder: quarto
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-04 21:14:55 UTC; luke
Author: Signe Kirk Broedbaek [aut] , Anders Aasted Isaksen [aut] , Luke William Johnston [aut, cre] , Steno Diabetes Center Aarhus [cph], Aarhus University [cph]
Maintainer: Luke William Johnston <lwjohnst@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:20:02 UTC

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New package mixedfact with initial version 0.1.1
Package: mixedfact
Title: Generate and Analyze Mixed-Level Blocked Factorial Designs
Version: 0.1.1
Description: Generates blocked designs for mixed-level factorial experiments for a given block size. Internally, it uses finite-field based, collapsed, and heuristic methods to construct block structures that minimize confounding between block effects and factorial effects. The package creates the full treatment combination table, partitions runs into blocks, and computes detailed confounding diagnostics for main effects and two-factor interactions. It also checks orthogonal factorial structure (OFS) and computes efficiencies of factorial effects using the methods of Nair and Rao (1948) <doi:10.1111/j.2517-6161.1948.tb00005.x>. When OFS is not satisfied but the design has equal treatment replications and equal block sizes, a general method based on the C-matrix and custom contrast vectors is used to compute efficiencies. The output includes the generated design, finite-field metadata, confounding summaries, OFS diagnostics, and efficiency results.
License: GPL-3
Encoding: UTF-8
Suggests: rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-05 04:05:13 UTC; Sukanta
Author: Archana A [aut], Sukanta Dash [aut, cre], Anil Kumar [aut], Medram Verma [aut]
Maintainer: Sukanta Dash <sukanta.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:30:02 UTC

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New package ivd with initial version 1.0.0
Package: ivd
Title: Individual Variance Detection
Version: 1.0.0
Maintainer: Philippe Rast <rast.ph@gmail.com>
Description: Fit mixed-effects location scale models with spike-and-slab priors on the location random effects to identify units with unusual residual variances. The method is described in detail in Carmo, Williams and Rast (2025) <https://osf.io/sh6ne>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: nimble (>= 1.1.0), coda (>= 0.19.4), ggplot2, patchwork, future, future.apply, utils, rstan, ggrepel
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/consistentlyBetter/ivd/issues
Depends: R (>= 3.0)
NeedsCompilation: no
Packaged: 2025-12-05 01:17:46 UTC; philippe
Author: Philippe Rast [aut, cre, cph] , Marwin Carmo [aut]
Repository: CRAN
Date/Publication: 2025-12-10 21:30:06 UTC

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New package HCUPtools with initial version 1.0.0
Package: HCUPtools
Title: Access and Work with HCUP Resources and Datasets
Version: 1.0.0
Depends: R (>= 4.1.0)
Description: A comprehensive R package for accessing and working with publicly available and free resources from the Agency for Healthcare Research and Quality (AHRQ) Healthcare Cost and Utilization Project (HCUP). The package provides streamlined access to HCUP's Clinical Classifications Software Refined (CCSR) mapping files and Summary Trend Tables, enabling researchers and analysts to efficiently map ICD-10-CM diagnosis codes and ICD-10-PCS procedure codes to CCSR categories and access HCUP statistical reports. Key features include: direct download from HCUP website, multiple output formats (long/wide/default), cross-classification support, version management, citation generation, and intelligent caching. The package does not redistribute HCUP data files but facilitates direct download from the official HCUP website, ensuring users always have access to the latest versions and maintain compliance with HCUP data use policies. This package only accesses free public tools and reports; it does NOT a [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/vikrant31/HCUPtools, https://vikrant31.github.io/HCUPtools/
BugReports: https://github.com/vikrant31/HCUPtools/issues
Encoding: UTF-8
Imports: httr2, readr, dplyr, tidyr, tibble, utils, stats, rlang, xml2, readxl
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, data.table, pdftools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-05 06:55:13 UTC; vikrant31
Author: Vikrant Dev Rathore [aut, cre]
Maintainer: Vikrant Dev Rathore <rathore.vikrant@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:40:07 UTC

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New package factree with initial version 0.1.0
Package: factree
Title: Factor-Augmented Clustering Tree
Date: 2025-11-10
Version: 0.1.0
Description: Implements the Factor-Augmented Clustering Tree (FACT) algorithm for clustering time series data. The method constructs a classification tree where splits are determined by covariates, and the splitting criterion is based on a group factor model representation of the time series within each node. Both threshold-based and permutation-based tests are supported for splitting decisions, with an option for parallel computation. For methodological details, see Hu, Li, Luo, and Wang (2025, in preparation), Factor-Augmented Clustering Tree for Time Series.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: irlba, foreach, doParallel, parallel, doRNG, mvtnorm
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-05 03:53:21 UTC; hujiaqi
Author: Jiaqi Hu [cre, aut], Ting Li [ctb] , Zidan Luo [ctb] , Xueqin Wang [ctb]
Maintainer: Jiaqi Hu <hujiaqi@mail.ustc.edu.cn>
Repository: CRAN
Date/Publication: 2025-12-10 21:30:12 UTC

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New package EZbakR with initial version 0.1.0
Package: EZbakR
Title: Analyze and Integrate Any Type of Nucleotide Recoding RNA-Seq Data
Version: 0.1.0
Description: A complete rewrite and reimagining of 'bakR' (see 'Vock et al.' (2025) <doi:10.1371/journal.pcbi.1013179>). Designed to support a wide array of analyses of nucleotide recoding RNA-seq (NR-seq) datasets of any type, including TimeLapse-seq/SLAM-seq/TUC-seq, Start-TimeLapse-seq (STL-seq), TT-TimeLapse-seq (TT-TL-seq), and subcellular NR-seq. 'EZbakR' extends standard NR-seq standard NR-seq mutational modeling to support multi-label analyses (e.g., 4sU and 6sG dual labeling), and implements an improved hierarchical model to better account for transcript-to-transcript variance in metabolic label incorporation. 'EZbakR' also generalized dynamical systems modeling of NR-seq data to support analyses of premature mRNA processing and flow between subcellular compartments. Finally, 'EZbakR' implements flexible and well-powered comparative analyses of all estimated parameters via design matrix-specified generalized linear modeling.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, MASS, rmarkdown, testthat (>= 3.0.0)
Imports: arrow, data.table, dplyr, ggplot2, magrittr, methods, purrr, rlang, tidyr, tximport
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
URL: https://isaacvock.github.io/EZbakR/, https://github.com/isaacvock/EZbakR
BugReports: https://github.com/isaacvock/EZbakR/issues
NeedsCompilation: no
Packaged: 2025-12-04 22:09:30 UTC; isaac
Author: Isaac Vock [aut, cre, cph]
Maintainer: Isaac Vock <isaac.vock@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 21:20:08 UTC

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New package timefully with initial version 0.1.0
Package: timefully
Title: Time-Series Management Made Easy
Version: 0.1.0
Description: Manage time-series data frames across time zones, resolutions, and date ranges, while filling gaps using weekday/hour patterns or simple fill helpers or plotting them interactively. It is designed to work seamlessly with the tidyverse and dygraphs environments.
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), rmarkdown
Depends: R (>= 4.1.0)
Imports: dplyr, lubridate, rlang, purrr, dygraphs
URL: https://github.com/resourcefully-dev/timefully/, https://resourcefully-dev.github.io/timefully/
BugReports: https://github.com/resourcefully-dev/timefully/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-12-04 09:24:54 UTC; marc
Author: Marc Canigueral [aut, cre]
Maintainer: Marc Canigueral <marccanyigueral@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 20:40:02 UTC

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New package projectLSA with initial version 0.0.3
Package: projectLSA
Title: Latent Structure Analysis Toolkit
Version: 0.0.3
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), 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.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Encoding: UTF-8
Imports: colourpicker, dplyr, DT, ggiraph, ggplot2, lavaan, mirt, plotly, poLCA, psych, purrr, readr, readxl, rlang, semPlot, semptools, semTools, shiny, shinyWidgets, stringr, tibble, tidyr, tidyLPA, viridisLite
Suggests: knitr, pkgdown, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/hasandjidu/projectLSA
BugReports: https://github.com/hasandjidu/projectLSA/issues
NeedsCompilation: no
Packaged: 2025-12-04 12:08:53 UTC; hasandjidu
Author: Hasan Djidu [aut, cre] , Heri Retnawati [ctb] , Samsul Hadi [ctb] , Haryanto [ctb]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-10 20:50:02 UTC

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Package mcga updated to version 3.0.9 with previous version 3.0.7 dated 2023-11-27

Title: Machine Coded Genetic Algorithms for Real-Valued Optimization Problems
Description: Machine coded genetic algorithm (MCGA) is a fast tool for real-valued optimization problems. It uses the byte representation of variables rather than real-values. It performs the classical crossover operations (uniform) on these byte representations. Mutation operator is also similar to classical mutation operator, which is to say, it changes a randomly selected byte value of a chromosome by +1 or -1 with probability 1/2. In MCGAs there is no need for encoding-decoding process and the classical operators are directly applicable on real-values. It is fast and can handle a wide range of a search space with high precision. Using a 256-unary alphabet is the main disadvantage of this algorithm but a moderate size population is convenient for many problems. Package also includes multi_mcga function for multi objective optimization problems. This function sorts the chromosomes using their ranks calculated from the non-dominated sorting algorithm.
Author: Mehmet Hakan Satman [aut, cre]
Maintainer: Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>

Diff between mcga versions 3.0.7 dated 2023-11-27 and 3.0.9 dated 2025-12-10

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New package httkexamples with initial version 0.0.1
Package: httkexamples
Version: 0.0.1
Date: 2025-12-03
Title: High-Throughput Toxicokinetics Examples
Description: High throughput toxicokinetics ("HTTK") is the combination of 1) chemical-specific in vitro measurements or in silico predictions and 2) generic mathematical models, to predict absorption, distribution, metabolism, and excretion by the body. HTTK methods have been described by Pearce et al. (2017) (<doi:10.18637/jss.v079.i04>) and Breen et al. (2021) (<doi:10.1080/17425255.2021.1935867>). Here we provide examples (vignettes) applying HTTK to solve various problems in bioinformatics, toxicology, and exposure science. In accordance with Davidson-Fritz et al. (2025) (<doi:10.1371/journal.pone.0321321>), whenever a new HTTK model is developed, the code to generate the figures evaluating that model is added as a new vignettte.
Depends: R (>= 2.10)
Imports: httk, rmarkdown, knitr, Rdpack
Suggests: dplyr, tidyverse, xlsx, Metrics, ggplot2, ggforce, ggpubr, ggrepel, viridis, ggpubr, grid, ggh4x, readr, ggforce, tidyr, stringr, pracma, cgwtools, openxlsx, ggstar, latex2exp, smatr, reshape, gdata,censReg,gmodels,gplots,scales,colorspace,gridExtra, rvcheck
License: MIT + file LICENSE
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://chemicalinsights.ul.org/
NeedsCompilation: no
Packaged: 2025-12-04 00:56:11 UTC; WambaughJohn
Author: John Wambaugh [aut, cre] , Robert Pearce [aut] , Caroline Ring [aut] , Greg Honda [aut] , Matt Linakis [aut] , Dustin Kapraun [aut] , Kimberly Truong [aut] , Meredith Scherer [aut] , Annabel Meade [aut] , Celia Schacht [aut] , Elaina Kenyon [ctb]
Maintainer: John Wambaugh <john.wambaugh@UL.org>
Repository: CRAN
Date/Publication: 2025-12-10 21:00:02 UTC

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Package fcall updated to version 0.1.6 with previous version 0.1.5 dated 2025-11-19

Title: Parse Farm Credit Administration Call Report Data into Tidy Data Frames
Description: Parses financial condition and performance data (Call Reports) for institutions in the United States Farm Credit System. Contains functions for downloading files from the Farm Credit Administration (FCA) Call Report archive website and reading the files into tidy data frame format. The archive website can be found at <https://www.fca.gov/bank-oversight/call-report-data-for-download>.
Author: Michael Thomas [aut, cre], Ivan Millanes [aut], Ketchbrook Analytics [cph, fnd]
Maintainer: Michael Thomas <mthomas@ketchbrookanalytics.com>

Diff between fcall versions 0.1.5 dated 2025-11-19 and 0.1.6 dated 2025-12-10

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Package networkscaleup updated to version 0.2-1 with previous version 0.1-2 dated 2024-02-25

Title: Network Scale-Up Models for Aggregated Relational Data
Description: Provides a variety of Network Scale-up Models for researchers to analyze Aggregated Relational Data, through the use of Stan and 'glmmTMB'. Also provides tools for model checking In this version, the package implements models from Laga, I., Bao, L., and Niu, X (2023) <doi:10.1080/01621459.2023.2165929>, Zheng, T., Salganik, M. J., and Gelman, A. (2006) <doi:10.1198/016214505000001168>, Killworth, P. D., Johnsen, E. C., McCarty, C., Shelley, G. A., and Bernard, H. R. (1998) <doi:10.1016/S0378-8733(96)00305-X>, and Killworth, P. D., McCarty, C., Bernard, H. R., Shelley, G. A., and Johnsen, E. C. (1998) <doi:10.1177/0193841X9802200205>.
Author: Ian Laga [aut, cre] , Owen G. Ward [aut], Anna L. Smith [aut], Benjamin Vogel [aut], Jieyun Wang [aut], Le Bao [aut], Xiaoyue Niu [aut]
Maintainer: Ian Laga <ilaga25@gmail.com>

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Package arima2 updated to version 3.4.3 with previous version 3.4.2 dated 2025-10-31

Title: Likelihood Based Inference for ARIMA Modeling
Description: Estimating and analyzing auto regressive integrated moving average (ARIMA) models. The primary function in this package is arima(), which fits an ARIMA model to univariate time series data using a random restart algorithm. This approach frequently leads to models that have model likelihood greater than or equal to that of the likelihood obtained by fitting the same model using the arima() function from the 'stats' package. This package enables proper optimization of model likelihoods, which is a necessary condition for performing likelihood ratio tests. This package relies heavily on the source code of the arima() function of the 'stats' package. For more information, please see Jesse Wheeler and Edward L. Ionides (2025) <doi:10.1371/journal.pone.0333993>.
Author: Jesse Wheeler [aut, cre, cph], Noel McAllister [aut], Dhajanae Sylvertooth [aut], Edward Ionides [ctb], Brian Ripley [ctb] , R Core Team [cph]
Maintainer: Jesse Wheeler <jessewheeler@isu.edu>

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Package validate updated to version 1.1.7 with previous version 1.1.6 dated 2025-11-14

Title: Data Validation Infrastructure
Description: Declare data validation rules and data quality indicators; confront data with them and analyze or visualize the results. The package supports rules that are per-field, in-record, cross-record or cross-dataset. Rules can be automatically analyzed for rule type and connectivity. Supports checks implied by an SDMX DSD file as well. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, Chapter 6 and the JSS paper (2021) <doi:10.18637/jss.v097.i10>.
Author: Mark van der Loo [cre, aut] , Edwin de Jonge [aut] , Paul Hsieh [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package omopgenerics updated to version 1.3.5 with previous version 1.3.4 dated 2025-12-01

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package xtdml updated to version 0.1.10 with previous version 0.1.9 dated 2025-11-12

Title: Double Machine Learning for Static Panel Models with Fixed Effects
Description: The 'xtdml' package implements partially linear panel regression (PLPR) models with high-dimensional confounding variables and an exogenous treatment variable within the double machine learning framework. The package is used to estimate the structural parameter (treatment effect) in static panel data models with fixed effects using the approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' is built on the object-oriented package 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> using the 'mlr3' ecosystem.
Author: Annalivia Polselli [aut, cre]
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>

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Package mmpca updated to version 2.0.4 with previous version 2.0.3 dated 2022-11-15

Title: Integrative Analysis of Several Related Data Matrices
Description: A generalization of principal component analysis for integrative analysis. The method finds principal components that describe single matrices or that are common to several matrices. The solutions are sparse. Rank of solutions is automatically selected using cross validation. The method is described in Kallus et al. (2019) <doi:10.48550/arXiv.1911.04927>.
Author: Jonatan Kallus [aut], Felix Held [ctb, cre]
Maintainer: Felix Held <felix.held@gmail.com>

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Package mlts updated to version 2.0.1 with previous version 2.0.0 dated 2025-12-08

Title: Multilevel Latent Time Series Models with 'R' and 'Stan'
Description: Fit multilevel manifest or latent time-series models, including popular Dynamic Structural Equation Models (DSEM). The models can be set up and modified with user-friendly functions and are fit to the data using 'Stan' for Bayesian inference. Path models and formulas for user-defined models can be easily created with functions using 'knitr'. Asparouhov, Hamaker, & Muthen (2018) <doi:10.1080/10705511.2017.1406803>.
Author: Kenneth Koslowski [aut, cre, cph] , Fabian Muench [aut] , Tobias Koch [aut] , Jana Holtmann [aut]
Maintainer: Kenneth Koslowski <kenneth.koslowski@uni-leipzig.de>

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Package GDPuc updated to version 1.6.1 with previous version 1.6.0 dated 2025-11-19

Title: Easily Convert GDP Data
Description: Convert GDP time series data from one unit to another. All common GDP units are included, i.e. current and constant local currency units, US$ via market exchange rates and international dollars via purchasing power parities.
Author: Johannes Koch [aut, cre]
Maintainer: Johannes Koch <jokoch@pik-potsdam.de>

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Package rvec updated to version 1.0.0 with previous version 0.0.8 dated 2025-07-12

Title: Vectors Representing Random Variables
Description: Random vectors, called rvecs. An rvec holds multiple draws, but tries to behave like a standard R vector, including working well in data frames. Rvecs are useful for analysing output from a simulation or a Bayesian analysis.
Author: John Bryant [aut, cre], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

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Package pharmaverseadamjnj updated to version 0.0.2 with previous version 0.0.1 dated 2025-07-15

Title: J&J Innovative Medicine ADaM Test Data
Description: A set of Analysis Data Model (ADaM) datasets constructed by modifying the ADaM datasets in the 'pharmaverseadam' package to meet J&J Innovative Medicine's standard data structure for Clinical and Statistical Programming.
Author: David Munoz Tord [aut, cre], Nicholas Masel [aut], Joe Kovach [aut], Mahesh Divakaran [ctb], J&J Innovative Medicine [cph, fnd]
Maintainer: David Munoz Tord <david.munoztord@mailbox.org>

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Package getRad updated to version 0.2.4 with previous version 0.2.3 dated 2025-10-14

Title: Download Radar Data for Biological Research
Description: Load polar volume and vertical profile data for aeroecological research directly into R. With 'getRad' you can access data from several sources in Europe and the US and standardize it to facilitate further exploration in tools such as 'bioRad'.
Author: Bart Kranstauber [aut, cre] , Pieter Huybrechts [aut] ), Peter Desmet [aut] ), Cecilia Nilsson [ctb] , Alexander Tedeschi [ctb] , Hidde Leijnse [ctb] , Bart Hoekstra [ctb] , University of Amsterdam [cph] , Biodiversa+ [fnd]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

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Package DImodelsMulti updated to version 1.2.1 with previous version 1.2.0 dated 2025-08-21

Title: Fit Multivariate Diversity-Interactions Models with Repeated Measures
Description: An add-on package to 'DImodels' for the fitting of biodiversity and ecosystem function relationship study data with multiple ecosystem function responses and/or time points. This package uses the multivariate and repeated measures Diversity-Interactions (DI) methods developed by Kirwan et al. (2009) <doi:10.1890/08-1684.1>, Finn et al. (2013) <doi:10.1111/1365-2664.12041>, and Dooley et al. (2015) <doi:10.1111/ele.12504>.
Author: Laura Byrne [aut, cre] , Rishabh Vishwakarma [aut], Rafael de Andrade Moral [aut], Caroline Brophy [aut]
Maintainer: Laura Byrne <Laura.Byrne.Work@outlook.com>

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Package cocons updated to version 0.1.5 with previous version 0.1.4 dated 2024-12-12

Title: Covariate-Based Covariance Functions for Nonstationary Spatial Modeling
Description: Estimation, prediction, and simulation of nonstationary Gaussian process with modular covariate-based covariance functions. Sources of nonstationarity, such as spatial mean, variance, geometric anisotropy, smoothness, and nugget, can be considered based on spatial characteristics. An induced compact-supported nonstationary covariance function is provided, enabling fast and memory-efficient computations when handling densely sampled domains.
Author: Federico Blasi [aut, cre] , Reinhard Furrer [ctb]
Maintainer: Federico Blasi <federicoblasi@gmail.com>

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Package tm updated to version 0.7-17 with previous version 0.7-16 dated 2025-02-19

Title: Text Mining Package
Description: A framework for text mining applications within R.
Author: Ingo Feinerer [aut] , Kurt Hornik [aut, cre] , Artifex Software, Inc. [ctb, cph]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package git2rdata updated to version 0.5.1 with previous version 0.5.0 dated 2025-01-24

Title: Store and Retrieve Data.frames in a Git Repository
Description: The git2rdata package is an R package for writing and reading dataframes as plain text files. A metadata file stores important information. 1) Storing metadata allows to maintain the classes of variables. By default, git2rdata optimizes the data for file storage. The optimization is most effective on data containing factors. The optimization makes the data less human readable. The user can turn this off when they prefer a human readable format over smaller files. Details on the implementation are available in vignette("plain_text", package = "git2rdata"). 2) Storing metadata also allows smaller row based diffs between two consecutive commits. This is a useful feature when storing data as plain text files under version control. Details on this part of the implementation are available in vignette("version_control", package = "git2rdata"). Although we envisioned git2rdata with a git workflow in mind, you can use it in combination with other version control systems like subversion [...truncated...]
Author: Thierry Onkelinx [aut, cre] ), Floris Vanderhaeghe [ctb] ), Peter Desmet [ctb] ), Els Lommelen [ctb] ), Research Institute for Nature and Forest [cph, fnd]
Maintainer: Thierry Onkelinx <thierry.onkelinx@inbo.be>

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Package twbparser updated to version 0.3.1 with previous version 0.2.3 dated 2025-09-30

Title: Parse 'Tableau' Workbooks into Functional Data
Description: High-performance parsing of 'Tableau' workbook files into tidy data frames and dependency graphs for other visualization tools like R 'Shiny' or 'Power BI' replication.
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>

Diff between twbparser versions 0.2.3 dated 2025-09-30 and 0.3.1 dated 2025-12-10

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Package TCHazaRds updated to version 1.1.5 with previous version 1.1.4 dated 2025-08-24

Title: Tropical Cyclone (Hurricane, Typhoon) Spatial Hazard Modelling
Description: Methods for generating modelled parametric Tropical Cyclone (TC) spatial hazard fields and time series output at point locations from TC tracks. R's compatibility to simply use fast 'cpp' code via the 'Rcpp' package and the wide range spatial analysis tools via the 'terra' package makes it an attractive open source environment to study 'TCs'. This package estimates TC vortex wind and pressure fields using parametric equations originally coded up in 'python' by 'TCRM' <https://github.com/GeoscienceAustralia/tcrm> and then coded up in 'Cuda' 'cpp' by 'TCwindgen' <https://github.com/CyprienBosserelle/TCwindgen>.
Author: Julian O'Grady [aut, cre]
Maintainer: Julian O'Grady <julian.ogrady@csiro.au>

Diff between TCHazaRds versions 1.1.4 dated 2025-08-24 and 1.1.5 dated 2025-12-10

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Package poseticDataAnalysis updated to version 1.0.0 with previous version 0.1.1 dated 2025-10-29

Title: Posetic Data Analysis
Description: Build and manipulate partially ordered sets (posets), to perform some data analysis on them and to implement multi-criteria decision making procedures. Several efficient ways for generating linear extensions are implemented, together with functions for building mutual ranking probabilities, incomparability, dominance and separation scores (Fattore, M., De Capitani, L., Avellone, A., Suardi, A. (2024). A fuzzy posetic toolbox for multi-criteria evaluation on ordinal data systems. ANNALS OF OPERATIONS RESEARCH <doi:10.1007/s10479-024-06352-3>).
Author: Alessandro Avellone [aut, cre], Lucio De Capitani [aut], Marco Fattore [aut]
Maintainer: Alessandro Avellone <alessandro.avellone@unimib.it>

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Package misha updated to version 5.3.1 with previous version 4.3.12 dated 2025-08-31

Title: Toolkit for Analysis of Genomic Data
Description: A toolkit for analysis of genomic data. The 'misha' package implements an efficient data structure for storing genomic data, and provides a set of functions for data extraction, manipulation and analysis. Some of the 2D genome algorithms were described in Yaffe and Tanay (2011) <doi:10.1038/ng.947>.
Author: Misha Hoichman [aut], Aviezer Lifshitz [aut, cre], Eitan Yaffe [aut], Amos Tanay [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package qrmtools updated to version 0.0-19 with previous version 0.0-18 dated 2025-09-10

Title: Tools for Quantitative Risk Management
Description: Functions and data sets for reproducing selected results from the book "Quantitative Risk Management: Concepts, Techniques and Tools". Furthermore, new developments and auxiliary functions for Quantitative Risk Management practice.
Author: Marius Hofert [aut, cre], Kurt Hornik [aut], Alexander J. McNeil [aut]
Maintainer: Marius Hofert <mhofert@hku.hk>

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Package guideR updated to version 0.8.0 with previous version 0.7.0 dated 2025-11-26

Title: Miscellaneous Statistical Functions Used in 'guide-R'
Description: Companion package for the manual 'guide-R : Guide pour l’analyse de données d’enquêtes avec R' available at <https://larmarange.github.io/guide-R/>. 'guideR' implements miscellaneous functions introduced in 'guide-R' to facilitate statistical analysis and manipulation of survey data.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package ForIT updated to version 2.5.2 with previous version 2.5.1 dated 2025-09-22

Title: Functions to Estimate Tree Volume and Phytomass in the Italian Forest Inventory 2005
Description: Tabacchi et al. (2011) published a very detailed study producing a uniform system of functions to estimate tree volume and phytomass components (stem, branches, stool). The estimates of the 2005 Italian forest inventory (<https://www.inventarioforestale.org/it/>) are based on these functions. The study documents the domain of applicability of each function and the equations to quantify estimates accuracies for individual estimates as well as for aggregated estimates. This package makes the functions available in the R environment. Version 2 exposes two distinct functions for individual and summary estimates. To facilitate access to the functions, tree species identification is now based on EPPO species codes (<https://data.eppo.int/>).
Author: Nicola Puletti [aut, cre] , Mirko Grotti [aut], Roberto Scotti [aut]
Maintainer: Nicola Puletti <nicola.puletti@gmail.com>

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Package bundle updated to version 0.1.3 with previous version 0.1.2 dated 2024-11-12

Title: Serialize Model Objects with a Consistent Interface
Description: Typically, models in 'R' exist in memory and can be saved via regular 'R' serialization. However, some models store information in locations that cannot be saved using 'R' serialization alone. The goal of 'bundle' is to provide a common interface to capture this information, situate it within a portable object, and restore it for use in new settings.
Author: Julia Silge [aut, cre] , Simon Couch [aut], Qiushi Yan [aut], Max Kuhn [aut], Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>

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 bundle-0.1.3/bundle/man/bundle_parsnip.Rd                  |   12 -
 bundle-0.1.3/bundle/man/bundle_stacks.Rd                   |   10 -
 bundle-0.1.3/bundle/man/bundle_torch.Rd                    |   12 -
 bundle-0.1.3/bundle/man/bundle_workflows.Rd                |   18 +-
 bundle-0.1.3/bundle/man/bundle_xgboost.Rd                  |   20 +-
 bundle-0.1.3/bundle/man/figures/lifecycle-deprecated.svg   |only
 bundle-0.1.3/bundle/man/figures/lifecycle-experimental.svg |only
 bundle-0.1.3/bundle/man/figures/lifecycle-stable.svg       |only
 bundle-0.1.3/bundle/man/figures/lifecycle-superseded.svg   |only
 bundle-0.1.3/bundle/tests/testthat.R                       |    4 
 bundle-0.1.3/bundle/tests/testthat/test_bundle_embed.R     |    9 -
 bundle-0.1.3/bundle/tests/testthat/test_bundle_h2o.R       |   25 ++-
 bundle-0.1.3/bundle/tests/testthat/test_bundle_keras.R     |   24 ++-
 bundle-0.1.3/bundle/tests/testthat/test_bundle_parsnip.R   |    6 
 bundle-0.1.3/bundle/tests/testthat/test_bundle_stacks.R    |    8 -
 bundle-0.1.3/bundle/tests/testthat/test_bundle_torch.R     |   24 +--
 bundle-0.1.3/bundle/tests/testthat/test_bundle_workflows.R |   24 +--
 bundle-0.1.3/bundle/tests/testthat/test_bundle_xgboost.R   |   29 +++-
 bundle-0.1.3/bundle/tests/testthat/test_utils.R            |   11 -
 bundle-0.1.3/bundle/vignettes/bundle.Rmd                   |   94 +++++++++----
 48 files changed, 536 insertions(+), 375 deletions(-)

More information about bundle at CRAN
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