Tue, 13 Jan 2026

New package SRMERS with initial version 0.1.1
Package: SRMERS
Title: Semi-Parametric Shape-Restricted Fixed/Mixed Effect(s) Regression Spline
Version: 0.1.1
Maintainer: Qing Yin <qiy25@pitt.edu>
Imports: splines2, stats, lme4, nloptr, dplyr, MASS, coneproj, Matrix
Description: Select the most suitable shape to describe the relationship between the exposure and the outcome among increasing, decreasing, convex, and concave shapes (Yin et al. (2021) <DOI:10.1007/s13571-020-00246-7>); estimate the direct and indirect effects with prior knowledge on the relationship between the mediator and the outcome with binary exposure (Yin et al. (2024) <DOI:10.1007/s13571-024-00336-w>); estimate the direct and indirect effects using linear regression-based approach (VanderWeele (2015, ISBN:9780199325870)).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.4.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-06 14:29:06 UTC; qingyin
Author: Qing Yin [aut, cre], Shyamal Das Peddada [aut], Jennifer Joan Adibi [aut], Jong-Hyeon Jeong [aut]
Repository: CRAN
Date/Publication: 2026-01-13 18:30:07 UTC

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New package rollout with initial version 0.1.0
Package: rollout
Title: Tools for Designing, Simulating, and Analyzing Implementation Rollout Trials
Version: 0.1.0
Description: Provides a unified framework for designing, simulating, and analyzing implementation rollout trials, including stepped wedge, sequential rollout, head-to-head, multi-condition, and rollout implementation optimization designs. The package enables users to flexibly specify rollout schedules, incorporate site-level and nested data structures, generate outcomes under rich hierarchical models, and evaluate analytic strategies through simulation-based power analysis. By separating data generation from model fitting, the tools support assessment of bias, Type I error, and robustness to model misspecification. The workflow integrates with standard mixed-effects modeling approaches and the tidyverse ecosystem, offering transparent and reproducible tools for implementation scientists and applied statisticians.
License: MIT + file LICENSE
URL: https://github.com/iancero/rollout, https://iancero.github.io/rollout/
BugReports: https://github.com/iancero/rollout/issues
Imports: broom.mixed, dplyr, glue, lifecycle, parallel, pbapply, purrr, rlang, stats, tidyr
Suggests: lme4, lmerTest, testthat (>= 3.0.0), tibble
Encoding: UTF-8
Depends: R (>= 4.5.0)
NeedsCompilation: no
Packaged: 2026-01-09 14:55:24 UTC; icero
Author: Ian Cero [aut, cre] , C. Hendricks Brown [aut]
Maintainer: Ian Cero <ian_cero@urmc.rochester.edu>
Repository: CRAN
Date/Publication: 2026-01-13 18:20:02 UTC

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Package personalized2part updated to version 0.0.2 with previous version 0.0.1 dated 2020-09-10

Title: Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Description: Implements the methodology of Huling, Smith, and Chen (2020) <doi:10.1080/01621459.2020.1801449>, which allows for subgroup identification for semi-continuous outcomes by estimating individualized treatment rules. It uses a two-part modeling framework to handle semi-continuous data by separately modeling the positive part of the outcome and an indicator of whether each outcome is positive, but still results in a single treatment rule. High dimensional data is handled with a cooperative lasso penalty, which encourages the coefficients in the two models to have the same sign.
Author: Jared Huling [aut, cre]
Maintainer: Jared Huling <jaredhuling@gmail.com>

Diff between personalized2part versions 0.0.1 dated 2020-09-10 and 0.0.2 dated 2026-01-13

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Package nichetools updated to version 0.3.3 with previous version 0.3.2 dated 2024-09-30

Title: Complementary Package to 'nicheROVER' and 'SIBER'
Description: Provides functions complementary to packages 'nicheROVER' and 'SIBER' allowing the user to extract Bayesian estimates from data objects created by the packages 'nicheROVER' and 'SIBER'. Please see the following publications for detailed methods on 'nicheROVER' and 'SIBER' Hansen et al. (2015) <doi:10.1890/14-0235.1>, Jackson et al. (2011) <do i:10.1111/j.1365-2656.2011.01806.x>, and Layman et al. (2007) <doi:10.1890/0012-9658(2007)88[42:CSIRPF]2.0.CO;2>, respectfully.
Author: Benjamin L. Hlina [aut, cre]
Maintainer: Benjamin L. Hlina <benjamin.hlina@gmail.com>

Diff between nichetools versions 0.3.2 dated 2024-09-30 and 0.3.3 dated 2026-01-13

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New package lobbyR with initial version 0.1.0
Package: lobbyR
Title: Get Federal Lobbying Disclosures
Version: 0.1.0
Depends: R (>= 4.1.0)
Author: Chris Cioffi [aut, cre], Aarushi Sahejpal [aut, ctb]
Maintainer: Chris Cioffi <chrisjcioffi@gmail.com>
Description: Gives users seeking federal lobbying disclosures an easier way to query the API maintained by the Senate federal lobbying disclosures database <https://lda.senate.gov/api/redoc/v1/> to find out how much companies and other entities are spending to lobby Congress and the federal government. It allows for search terms such as keywords, time periods and entity names. It then attempts to clean, or at least flag, filings that could provide incorrect results when seeking to answer the question: How much is being spent on lobbying our Congress and the administration and what issues do they care about?
License: LGPL (>= 3)
Encoding: UTF-8
Suggests: spelling
Language: en-US
Imports: dplyr, httr2, keyring, rlang, stringr, tidyr
NeedsCompilation: no
Packaged: 2026-01-09 15:57:44 UTC; chriscioffi2
Repository: CRAN
Date/Publication: 2026-01-13 18:30:02 UTC

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New package BayesianInference with initial version 0.0.1
Package: BayesianInference
Title: Bayesian Inference
Version: 0.0.1
Description: Beta version of 'Bayesian Inference' (BI) using 'python' and BI. It aims to unify the modeling experience by providing an intuitive model-building syntax together with the flexibility of low-level abstraction coding. It also includes pre-built functions for high-level abstraction and supports hardware-accelerated computation for improved scalability, including parallelization, vectorization, and execution on CPU, GPU, or TPU.
Encoding: UTF-8
Imports: reticulate
SystemRequirements: Python (>= 3.6), 'BayesInference' python library.
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2026-01-09 14:28:53 UTC; Sosa
Author: Sebastian Sosa [aut, cre]
Maintainer: Sebastian Sosa <bi@s-sosa.com>
Repository: CRAN
Date/Publication: 2026-01-13 18:10:02 UTC

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New package AddiVortes with initial version 0.4.7
Package: AddiVortes
Title: (Bayesian) Additive Voronoi Tessellations
Version: 0.4.7
Date: 2026-01-09
Description: Implements the Bayesian Additive Voronoi Tessellation model for non-parametric regression and machine learning as introduced in Stone and Gosling (2025) <doi:10.1080/10618600.2024.2414104>. This package provides a flexible alternative to BART (Bayesian Additive Regression Trees) using Voronoi tessellations instead of trees. Users can fit Bayesian regression models, estimate posterior distributions, and visualise the resulting tessellations. It is particularly useful for spatial data analysis, machine learning regression, complex function approximation and Bayesian modeling where the underlying structure is unknown. The method is well-suited to capturing spatial patterns and non-linear relationships.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: parallel (>= 4.0.0), pbapply (>= 1.6)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), xml2
URL: https://johnpaulgosling.github.io/AddiVortes/
VignetteBuilder: knitr
BugReports: https://github.com/johnpaulgosling/AddiVortes/issues
NeedsCompilation: yes
Packaged: 2026-01-09 16:36:47 UTC; johnpaul
Author: Adam Stone [aut] , John Paul Gosling [aut, cre]
Maintainer: John Paul Gosling <john-paul.gosling@durham.ac.uk>
Repository: CRAN
Date/Publication: 2026-01-13 18:40:02 UTC

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New package S3VS with initial version 1.0
Package: S3VS
Title: Structured Screen-and-Select Variable Selection in Linear, Generalized Linear, and Survival Models
Version: 1.0
Date: 2025-12-30
Maintainer: Nilotpal Sanyal <nsanyal@utep.edu>
Description: Performs variable selection using the structured screen-and-select (S3VS) framework in linear models, generalized linear models with binary data, and survival models such as the Cox model and accelerated failure time (AFT) model.
License: GPL (>= 2)
Imports: glmnet, ncvreg, survival, mombf, future.apply, eha, pec, aftgee, afthd
Suggests: rjags, knitr, doParallel
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-09 13:00:43 UTC; nsanyal
Author: Nilotpal Sanyal [aut, cre], Padmore N. Prempeh [aut]
Repository: CRAN
Date/Publication: 2026-01-13 18:00:14 UTC

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New package rjd3toolkit with initial version 3.6.0
Package: rjd3toolkit
Title: Utility Functions Around 'JDemetra+ 3.0'
Version: 3.6.0
Description: R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It provides functions allowing to model time series (create outlier regressors, user-defined calendar regressors, Unobserved Components AutoRegressive Integrated Moving Average (UCARIMA) models...), to test the presence of trading days or seasonal effects and also to set specifications in pre-adjustment and benchmarking when using 'rjd3x13' or 'rjd3tramoseats'.
License: EUPL
URL: https://github.com/rjdverse/rjd3toolkit, https://rjdverse.github.io/rjd3toolkit/
BugReports: https://github.com/rjdverse/rjd3toolkit/issues
Depends: R (>= 4.1)
Imports: checkmate, graphics, methods, rJava (>= 1.0-6), rjd3jars, RProtoBuf (>= 0.4.20), stats, utils
Encoding: UTF-8
Language: en-GB
LazyData: TRUE
SystemRequirements: Java (>= 17)
NeedsCompilation: no
Packaged: 2026-01-09 11:54:11 UTC; onyxia
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art], Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2026-01-13 18:00:02 UTC

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Package EZFragility updated to version 2.1.1 with previous version 2.0.1 dated 2025-09-07

Title: Compute Neural Fragility for Ictal iEEG Time Series
Description: Provides tools to compute the neural fragility matrix from intracranial electrocorticographic (iEEG) recordings, enabling the analysis of brain dynamics during seizures. The package implements the method described by Li et al. (2017) <doi:10.23919/ACC.2017.7963378> and includes functions for data preprocessing ('Epoch'), fragility computation ('calcAdjFrag'), and visualization.
Author: Jiefei Wang [aut, cre] , Patrick Karas [aut], Anne-Cecile Lesage [aut] , Ioannis Malagaris [aut] , Oliver Zhou [aut], Liliana Camarillo Rodriguez [aut] , Sean O'Leary [aut] , Yuanyi Zhang [aut]
Maintainer: Jiefei Wang <szwjf08@gmail.com>

Diff between EZFragility versions 2.0.1 dated 2025-09-07 and 2.1.1 dated 2026-01-13

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Package treesitter updated to version 0.3.1 with previous version 0.3.0 dated 2025-06-06

Title: Bindings to 'Tree-Sitter'
Description: Provides bindings to 'Tree-sitter', an incremental parsing system for programming tools. 'Tree-sitter' builds concrete syntax trees for source files of any language, and can efficiently update those syntax trees as the source file is edited. It also includes a robust error recovery system that provides useful parse results even in the presence of syntax errors.
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd], Tree-sitter authors [cph]
Maintainer: Davis Vaughan <davis@posit.co>

Diff between treesitter versions 0.3.0 dated 2025-06-06 and 0.3.1 dated 2026-01-13

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Package sassy updated to version 1.3.0 with previous version 1.2.9 dated 2025-10-07

Title: Makes 'R' Easier for Everyone
Description: A meta-package that aims to make 'R' easier for everyone, especially programmers who have a background in 'SAS®' software. This set of packages brings many useful concepts to 'R', including data libraries, data dictionaries, formats and format catalogs, a data step, and a traceable log. The system also includes a package that replicates several commonly-used 'SAS®' procedures, like 'PROC FREQ', 'PROC MEANS', and 'PROC REG'.
Author: David Bosak [aut, cre]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between sassy versions 1.2.9 dated 2025-10-07 and 1.3.0 dated 2026-01-13

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Package riskmetric updated to version 0.2.6 with previous version 0.2.5 dated 2025-03-06

Title: Risk Metrics to Evaluating R Packages
Description: Facilities for assessing R packages against a number of metrics to help quantify their robustness.
Author: R Validation Hub [aut], Doug Kelkhoff [aut], Marly Gotti [aut], Eli Miller [cre, aut], Kevin K [aut], Yilong Zhang [aut], Eric Milliman [aut], Juliane Manitz [aut], Mark Padgham [ctb], PSI special interest group Application and Implementation of Meth [...truncated...]
Maintainer: Eli Miller <eli.miller@atorusresearch.com>

Diff between riskmetric versions 0.2.5 dated 2025-03-06 and 0.2.6 dated 2026-01-13

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Package recforest updated to version 1.0.2 with previous version 1.0.0 dated 2024-12-05

Title: Random Survival Forest for Recurrent Events
Description: A tool designed to analyze recurrent events when dealing with right-censored data and the potential presence of a terminal event (that prevents further occurrences, like death). It extends the random survival forest algorithm, adapting splitting rules and node estimators to handle complexities of recurrent events. The methodology is fully described in Murris, J., Bouaziz, O., Jakubczak, M., Katsahian, S., & Lavenu, A. (2024) (<https://hal.science/hal-04612431v1/document>).
Author: Juliette Murris [aut, cre] , Guillaume Desachy [aut] , Colin Fay [aut] , Yohann Mansiaux [aut] , Audrey Lavenu [aut] , Sandrine Katsahian [aut]
Maintainer: Juliette Murris <murris.juliette@gmail.com>

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Package paws.common updated to version 0.8.8 with previous version 0.8.7 dated 2025-11-25

Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package mantis updated to version 1.0.1 with previous version 1.0.0 dated 2025-10-27

Title: Multiple Time Series Scanner
Description: Generate interactive html reports that enable quick visual review of multiple related time series stored in a data frame. For static datasets, this can help to identify any temporal artefacts that may affect the validity of subsequent analyses. For live data feeds, regularly scheduled reports can help to pro-actively identify data feed problems or unexpected trends that may require action. The reports are self-contained and shareable without a web server.
Author: T. Phuong Quan [aut, cre] , University of Oxford [cph], National Institute for Health Research [fnd], Rodrigo Pires [rev], Margaret Siple [rev]
Maintainer: T. Phuong Quan <phuongquan567@outlook.com>

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Package clock updated to version 0.7.4 with previous version 0.7.3 dated 2025-03-21

Title: Date-Time Types and Tools
Description: Provides a comprehensive library for date-time manipulations using a new family of orthogonal date-time classes (durations, time points, zoned-times, and calendars) that partition responsibilities so that the complexities of time zones are only considered when they are really needed. Capabilities include: date-time parsing, formatting, arithmetic, extraction and updating of components, and rounding.
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package survextrap updated to version 1.0.1 with previous version 1.0 dated 2025-06-10

Title: Bayesian Flexible Parametric Survival Modelling and Extrapolation
Description: Survival analysis using a flexible Bayesian model for individual-level right-censored data, optionally combined with aggregate data on counts of survivors in different periods of time. An M-spline is used to describe the hazard function, with a prior on the coefficients that controls over-fitting. Proportional hazards or flexible non-proportional hazards models can be used to relate survival to predictors. Additive hazards (relative survival) models, waning treatment effects, and mixture cure models are also supported. Priors can be customised and calibrated to substantive beliefs. Posterior distributions are estimated using 'Stan', and outputs are arranged in a tidy format. See Jackson (2023) <doi:10.1186/s12874-023-02094-1>.
Author: Christopher Jackson [aut, cre, cph] , Iain Timmins [ctb] , Michael Sweeting [ctb]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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Package phantSEM updated to version 1.0.1 with previous version 1.0.0.0 dated 2023-09-07

Title: Create Phantom Variables in Structural Equation Models for Sensitivity Analyses
Description: Create phantom variables, which are variables that were not observed, for the purpose of sensitivity analyses for structural equation models. The package makes it easier for a user to test different combinations of covariances between the phantom variable(s) and observed variables. The package may be used to assess a model's or effect's sensitivity to temporal bias (e.g., if cross-sectional data were collected) or confounding bias.
Author: Alexis Georgeson [aut, cre, cph]
Maintainer: Alexis Georgeson <georgeson.alexis@gmail.com>

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Package mfGARCH updated to version 0.2.2 with previous version 0.2.1 dated 2021-06-17

Title: Mixed-Frequency GARCH Models
Description: Estimating GARCH-MIDAS (MIxed-DAta-Sampling) models (Engle, Ghysels, Sohn, 2013, <doi:10.1162/REST_a_00300>) and related statistical inference, accompanying the paper "Two are better than one: Volatility forecasting using multiplicative component GARCH models" by Conrad and Kleen (2020, <doi:10.1002/jae.2742>). The GARCH-MIDAS model decomposes the conditional variance of (daily) stock returns into a short- and long-term component, where the latter may depend on an exogenous covariate sampled at a lower frequency.
Author: Onno Kleen [aut, cre]
Maintainer: Onno Kleen <r@onnokleen.de>

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Package xportr updated to version 0.5.0 with previous version 0.4.3 dated 2025-07-15

Title: Utilities to Output CDISC SDTM/ADaM XPT Files
Description: Tools to build CDISC compliant data sets and check for CDISC compliance.
Author: Eli Miller [aut, cre] , Ben Straub [aut], Zelos Zhu [aut], Ethan Brockmann [aut], Vedha Viyash [aut], Andre Verissimo [aut], Sophie Shapcott [aut], Celine Piraux [aut], Kangjie Zhang [aut], Adrian Chan [aut], Sadchla Mascary [aut], Seunghyun Kim [aut [...truncated...]
Maintainer: Eli Miller <Eli.Miller@AtorusResearch.com>

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Package SHAPBoost updated to version 1.0.2 with previous version 1.0.1 dated 2025-12-04

Title: The SHAPBoost Feature Selection Algorithm
Description: The implementation of SHAPBoost, a boosting-based feature selection technique that ranks features iteratively based on Shapley values.
Author: Oemer Tarik Oezyilmaz [aut, cre, cph] , Tamas Szili-Toeroek [aut, cph]
Maintainer: Oemer Tarik Oezyilmaz <o.t.ozyilmaz@umcg.nl>

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Package manipulateWidget updated to version 0.11.2 with previous version 0.11.1 dated 2021-10-05

Title: Add Even More Interactivity to Interactive Charts
Description: Like package 'manipulate' does for static graphics, this package helps to easily add controls like sliders, pickers, checkboxes, etc. that can be used to modify the input data or the parameters of an interactive chart created with package 'htmlwidgets'.
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [aut], Francois Guillem [aut], RTE [cph], JJ Allaire [ctb], Marion Praz [ctb] , Benoit Thieurmel [ctb], Titouan Robert [ctb], Duncan Murdoch [ctb]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>

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Package dbnR updated to version 0.8.0 with previous version 0.7.9 dated 2024-06-19

Title: Dynamic Bayesian Network Learning and Inference
Description: Learning and inference over dynamic Bayesian networks of arbitrary Markovian order. Extends some of the functionality offered by the 'bnlearn' package to learn the networks from data and perform exact inference. It offers three structure learning algorithms for dynamic Bayesian networks: Trabelsi G. (2013) <doi:10.1007/978-3-642-41398-8_34>, Santos F.P. and Maciel C.D. (2014) <doi:10.1109/BRC.2014.6880957>, Quesada D., Bielza C. and Larrañaga P. (2021) <doi:10.1007/978-3-030-86271-8_14>. It also offers the possibility to perform forecasts of arbitrary length. A tool for visualizing the structure of the net is also provided via the 'visNetwork' package. Further detailed information and examples can be found in our Journal of Statistical Software paper Quesada D., Larrañaga P. and Bielza C. (2025) <doi:10.18637/jss.v115.i06>.
Author: David Quesada [aut, cre], Gabriel Valverde [ctb]
Maintainer: David Quesada <dkesada@gmail.com>

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Package cctest updated to version 2.2.1 with previous version 2.2.0 dated 2025-09-17

Title: Canonical Correlations and Tests of Independence
Description: A simple interface for multivariate correlation analysis that unifies various classical statistical procedures including t-tests, tests in univariate and multivariate linear models, parametric and nonparametric tests for correlation, Kruskal-Wallis tests, common approximate versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score tests of particular hypotheses in generalized linear models, canonical correlation analysis and linear discriminant analysis.
Author: Robert Schlicht [aut, cre]
Maintainer: Robert Schlicht <robert.schlicht@tu-dresden.de>

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Package cowfootR updated to version 0.1.3 with previous version 0.1.2 dated 2025-09-22

Title: Dairy Farm Carbon Footprint Assessment
Description: Calculates the carbon footprint of dairy farms based on methodologies of the International Dairy Federation and the Intergovernmental Panel on Climate Change. Includes tools for single-farm and batch analysis, report generation, and visualization. Methods follow International Dairy Federation (2022) "The IDF global Carbon Footprint standard for the dairy sector" (Bulletin of the IDF n° 520/2022) <doi:10.56169/FKRK7166> and IPCC (2019) "2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Chapter 10: Emissions from Livestock and Manure Management" <https://www.ipcc-nggip.iges.or.jp/public/2019rf/pdf/4_Volume4/19R_V4_Ch10_Livestock.pdf> guidelines.
Author: Juan Moreno [aut, cre]
Maintainer: Juan Moreno <juanmarcosmoreno@gmail.com>

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Package netdose updated to version 0.7-3 with previous version 0.7-2 dated 2025-10-10

Title: Dose-Response Network Meta-Analysis in a Frequentist Way
Description: A set of functions providing the implementation of the network meta-analysis model with dose-response relationships, predicted values of the fitted model and dose-response plots in a frequentist way.
Author: Maria Petropoulou [aut, cre] , Guido Schwarzer [aut]
Maintainer: Maria Petropoulou <m.petropoulou.a@gmail.com>

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Package heatwaveR updated to version 0.5.5 with previous version 0.5.4 dated 2025-04-10

Title: Detect Heatwaves and Cold-Spells
Description: The different methods for defining, detecting, and categorising the extreme events known as heatwaves or cold-spells, as first proposed in Hobday et al. (2016) <doi: 10.1016/j.pocean.2015.12.014> and Hobday et al. (2018) <https://www.jstor.org/stable/26542662>. The functions in this package work on both air and water temperature data of hourly and daily temporal resolution. These detection algorithms may be used on non-temperature data as well.
Author: Robert W. Schlegel [aut, cre, ctb] , Albertus J. Smit [aut, ctb]
Maintainer: Robert W. Schlegel <robwschlegel@gmail.com>

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Package diemr updated to version 1.5.3 with previous version 1.5.2 dated 2025-12-11

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>

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Package AQuadtree updated to version 1.0.5 with previous version 1.0.4 dated 2023-07-19

Title: Confidentiality of Spatial Point Data
Description: Provides an automatic aggregation tool to manage point data privacy, intended to be helpful for the production of official spatial data and for researchers. The package pursues the data accuracy at the smallest possible areas preventing individual information disclosure. The methodology, based on hierarchical geographic data structures performs aggregation and local suppression of point data to ensure privacy as described in Lagonigro, R., Oller, R., Martori J.C. (2017) <doi:10.2436/20.8080.02.55>. The data structures are created following the guidelines for grid datasets from the European Forum for Geography and Statistics.
Author: Raymond Lagonigro [aut, cre] , Ramon Oller [aut] , Joan Carles Martori [aut]
Maintainer: Raymond Lagonigro <raymond.lagonigro@uvic.cat>

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Package sgplot updated to version 0.5.0 with previous version 0.4.0 dated 2025-05-27

Title: Graphic Styles and Colours for Scottish Government Plots
Description: A 'ggplot2' theme and colour palettes to create accessible data visualisations in the Scottish Government.
Author: Scottish Government [cph, fnd], Alice Hannah [aut, cre]
Maintainer: Alice Hannah <alice.hannah@gov.scot>

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Package RTMBdist updated to version 1.0.0 with previous version 0.1.0 dated 2025-10-07

Title: Distributions Compatible with Automatic Differentiation by 'RTMB'
Description: Extends the functionality of the 'RTMB' <https://kaskr.r-universe.dev/RTMB> package by providing a collection of non-standard probability distributions compatible with automatic differentiation (AD). While 'RTMB' enables flexible and efficient modelling, including random effects, its built-in support is limited to standard distributions. The package adds additional AD-compatible distributions, broadening the range of models that can be implemented and estimated using 'RTMB'. Automatic differentiation and Laplace approximation are described in Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>.
Author: Jan-Ole Koslik [aut, cre]
Maintainer: Jan-Ole Koslik <jan-ole.koslik@uni-bielefeld.de>

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Package RNifti updated to version 1.9.0 with previous version 1.8.0 dated 2025-02-21

Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast read and write access to images stored in the NIfTI-1, NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation of in-memory image objects between compiled C and interpreted R code. Also provides a simple image viewer, and a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration and applies spatial transformations.
Author: Jon Clayden [cre, aut] , Bob Cox [aut], Mark Jenkinson [aut], Matt Hall [ctb], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>

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Package move updated to version 4.2.7 with previous version 4.2.6 dated 2024-11-20

Title: Visualizing and Analyzing Animal Track Data
Description: Contains functions to access movement data stored in 'movebank.org' as well as tools to visualize and statistically analyze animal movement data, among others functions to calculate dynamic Brownian Bridge Movement Models. Move helps addressing movement ecology questions.
Author: Bart Kranstauber [aut, cre], Marco Smolla [aut], Anne K Scharf [aut]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

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Package hyreg2 updated to version 1.1.1 with previous version 1.1.0 dated 2025-12-19

Title: Estimate Latent Classes on a Mixture of Continuous and Dichotomous Data
Description: EQ-5D value set estimation can be done using the hybrid model likelihood as described by Oppe and van Hout (2010) <doi:10.1002/hec.3560> and Ramos-Goñi et al. (2017) <doi:10.1097/MLR.0000000000000283>. The package is based on 'flexmix' and among others contains an M-step-driver as described by Leisch (2004) <doi:10.18637/jss.v011.i08>. Users can estimate latent classes and address preference heterogeneity. Both uncensored and censored data are supported. Furthermore, heteroscedasticity can be taken into account. It is possible to control for different covariates on the continuous and dichotomous parts of the data and start values can differ between the expected latent classes.
Author: Svenja Elkenkamp [aut, cre], Kim Rand [aut], John Grosser [aut], EuroQol [fnd]
Maintainer: Svenja Elkenkamp <svenja.elkenkamp@uni-bielefeld.de>

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Package dynamite updated to version 1.6.2 with previous version 1.5.6 dated 2025-04-07

Title: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data
Description: Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2024) <doi:10.1016/j.alcr.2024.100617>. The package supports joint modeling of multiple measurements per individual, time-varying and time-invariant effects, and a wide range of discrete and continuous distributions. Estimation of these dynamic multivariate panel models is carried out via 'Stan'. For an in-depth tutorial of the package, see (Tikka and Helske, 2025) <doi:10.18637/jss.v115.i05>.
Author: Santtu Tikka [aut, cre] , Jouni Helske [aut] , Nicholas Clark [rev], Lucy D'Agostino McGowan [rev]
Maintainer: Santtu Tikka <santtuth@gmail.com>

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Package AssociationExplorer2 updated to version 0.1.5 with previous version 0.1.4 dated 2026-01-09

Title: A User-Friendly 'shiny' Application for Exploring Associations and Visual Patterns
Description: A user-friendly 'shiny' application to explore statistical associations and visual patterns in multivariate datasets. The app provides interactive correlation networks, bivariate plots, and summary tables for different types of variables (numeric and categorical). It also supports optional survey weights and range-based filters on association strengths, making it suitable for the exploration of survey and public data by non-technical users, journalists, educators, and researchers. For background and methodological details, see Soetewey et al. (2025) <doi:10.1016/j.softx.2025.102483>.
Author: Antoine Soetewey [aut, cre] , Cedric Heuchenne [aut] , Arnaud Claes [aut] , Antonin Descampe [aut]
Maintainer: Antoine Soetewey <antoine.soetewey@uclouvain.be>

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Package qol updated to version 1.2.0 with previous version 1.1.1 dated 2025-12-13

Title: Powerful 'SAS' Inspired Concepts for more Efficient Bigger Outputs
Description: The main goal is to make descriptive evaluations easier to create bigger and more complex outputs in less time with less code. Introducing format containers with multilabels <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p06ciqes4eaqo6n0zyqtz9p21nfb.htm>, a more powerful summarise which is capable to output every possible combination of the provided grouping variables in one go <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/p0jvbbqkt0gs2cn1lo4zndbqs1pe.htm>, tabulation functions which can create any table in different styles <https://documentation.sas.com/doc/en/pgmsascdc/v_067/proc/n1ql5xnu0k3kdtn11gwa5hc7u435.htm> and other more readable functions. The code is optimized to work fast even with datasets of over a million observations.
Author: Tim Siebenmorgen [aut, cre, cph]
Maintainer: Tim Siebenmorgen <qol_package@proton.me>

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Package waysign updated to version 0.1.1 with previous version 0.1.0 dated 2025-12-16

Title: Multi-Purpose and High-Performance Routing
Description: Provides routing based on the 'path-tree' 'Rust' crate. The routing is general purpose in the sense that any type of R object can be associated with a path, not just a handler function.
Author: Thomas Lin Pedersen [aut, cre] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between waysign versions 0.1.0 dated 2025-12-16 and 0.1.1 dated 2026-01-13

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Package pregnancy updated to version 0.2.1 with previous version 0.2.0 dated 2025-11-19

Title: Calculate and Track Dates and Medications During Pregnancy
Description: Provides functionality for calculating pregnancy-related dates and tracking medications during pregnancy and fertility treatment. Calculates due dates from various starting points including last menstrual period and IVF (In Vitro Fertilisation) transfer dates, determines pregnancy progress on any given date, and identifies when specific pregnancy weeks are reached. Includes medication tracking capabilities for individuals undergoing fertility treatment or during pregnancy, allowing users to monitor remaining doses and quantities needed over specified time periods. Designed for those tracking their own pregnancies or supporting partners through the process, making use of options to personalise output messages. For details on due date calculations, see <https://www.acog.org/clinical/clinical-guidance/committee-opinion/articles/2017/05/methods-for-estimating-the-due-date>.
Author: Ella Kaye [aut, cre, cph]
Maintainer: Ella Kaye <ella.kaye@gmail.com>

Diff between pregnancy versions 0.2.0 dated 2025-11-19 and 0.2.1 dated 2026-01-13

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Package lmerTest updated to version 3.2-0 with previous version 3.1-3 dated 2020-10-23

Title: Tests in Linear Mixed Effects Models
Description: Provides p-values in type I, II or III anova and summary tables for lmer model fits (cf. lme4) via Satterthwaite's degrees of freedom method. A Kenward-Roger method is also available via the pbkrtest package. Model selection methods include step, drop1 and anova-like tables for random effects (ranova). Methods for Least-Square means (LS-means) and tests of linear contrasts of fixed effects are also available.
Author: Alexandra Kuznetsova [aut], Per Bruun Brockhoff [aut, ths], Rune Haubo Bojesen Christensen [aut, cre] , Sofie Poedenphant Jensen [ctb]
Maintainer: Rune Haubo Bojesen Christensen <Rune.Haubo@gmail.com>

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Package hubUtils updated to version 1.2.0 with previous version 0.1.7 dated 2024-09-18

Title: Core 'hubverse' Utilities
Description: Core set of low-level utilities common across the 'hubverse'. Used to interact with 'hubverse' schema, Hub configuration files and model outputs and designed to be primarily used internally by other 'hubverse' packages. See Reich et al. (2022) <doi:10.2105/AJPH.2022.306831> for an overview of Collaborative Hubs.
Author: Anna Krystalli [aut, cre] , Li Shandross [aut], Nicholas G. Reich [ctb] , Evan L. Ray [ctb], Zhian N. Kamvar [ctb] , Consortium of Infectious Disease Modeling Hubs [cph]
Maintainer: Anna Krystalli <annakrystalli@googlemail.com>

Diff between hubUtils versions 0.1.7 dated 2024-09-18 and 1.2.0 dated 2026-01-13

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Package templr updated to version 0.2-3 with previous version 0.2-2 dated 2026-01-12

Title: MASCOTNUM / RT-UQ Algorithms Template Tools
Description: Helper functions for MASCOTNUM / RT-UQ <https://uq.math.cnrs.fr/> algorithm template, for design of numerical experiments practice: algorithm template parser to support MASCOTNUM specification <https://github.com/MASCOTNUM/algorithms>, 'ask & tell' decoupling injection (inspired by <https://search.r-project.org/CRAN/refmans/sensitivity/html/decoupling.html>) to use "crimped" algorithms (like uniroot(), optim(), ...) from outside R, basic template examples: Brent algorithm for 1 dim root finding and L-BFGS-B from base optim().
Author: Yann Richet [aut, cre]
Maintainer: Yann Richet <yann.richet@asnr.fr>

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Package shinyOAuth updated to version 0.2.0 with previous version 0.1.4 dated 2025-11-24

Title: Provider-Agnostic OAuth Authentication for 'shiny' Applications
Description: Provides a simple, configurable, provider-agnostic 'OAuth 2.0' and 'OpenID Connect' (OIDC) authentication framework for 'shiny' applications using 'S7' classes. Defines providers, clients, and tokens, as well as various supporting functions and a 'shiny' module. Features include cross-site request forgery (CSRF) protection, state encryption, 'Proof Key for Code Exchange' (PKCE) handling, validation of OIDC identity tokens (nonces, signatures, claims), automatic user info retrieval, asynchronous flows, and hooks for audit logging.
Author: Luka Koning [aut, cre, cph]
Maintainer: Luka Koning <koningluka@gmail.com>

Diff between shinyOAuth versions 0.1.4 dated 2025-11-24 and 0.2.0 dated 2026-01-13

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Package RepeatedHighDim updated to version 2.5.0 with previous version 2.4.0 dated 2025-04-14

Title: Methods for High-Dimensional Repeated Measures Data
Description: A toolkit for the analysis of high-dimensional repeated measurements, providing functions for outlier detection, differential expression analysis, gene-set tests, and binary random data generation.
Author: Klaus Jung [aut, cre], Jochen Kruppa [aut], Sergej Ruff [aut]
Maintainer: Klaus Jung <klaus.jung@tiho-hannover.de>

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Package ldmppr updated to version 1.1.1 with previous version 1.1.0 dated 2026-01-08

Title: Estimate and Simulate from Location Dependent Marked Point Processes
Description: A suite of tools for estimating, assessing model fit, simulating from, and visualizing location dependent marked point processes characterized by regularity in the pattern. You provide a reference marked point process, a set of raster images containing location specific covariates, and select the estimation algorithm and type of mark model. 'ldmppr' estimates the process and mark models and allows you to check the appropriateness of the model using a variety of diagnostic tools. Once a satisfactory model fit is obtained, you can simulate from the model and visualize the results. Documentation for the package 'ldmppr' is available in the form of a vignette.
Author: Lane Drew [aut, cre, cph] , Andee Kaplan [aut]
Maintainer: Lane Drew <lanetdrew@gmail.com>

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Package pense updated to version 2.5.0 with previous version 2.2.2 dated 2024-07-27

Title: Penalized Elastic Net S/MM-Estimator of Regression
Description: Robust penalized (adaptive) elastic net S and M estimators for linear regression. The methods are proposed in Cohen Freue, G. V., Kepplinger, D., Salibián-Barrera, M., and Smucler, E. (2019) <https://projecteuclid.org/euclid.aoas/1574910036>. The package implements the extensions and algorithms described in Kepplinger, D. (2020) <doi:10.14288/1.0392915>.
Author: David Kepplinger [aut, cre], Matias Salibian-Barrera [aut], Gabriela Cohen Freue [aut]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>

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Package GWpcor updated to version 0.1.8 with previous version 0.1.7 dated 2021-11-26

Title: Geographically Weighted Partial Correlation Coefficient
Description: Implements a geographically weighted partial correlation which is an extension from gwss() function in the 'GWmodel' package (Percival and Tsutsumida (2017) <doi:10.1553/giscience2017_01_s36>).
Author: Narumasa Tsutsumida [aut, cre] , Joseph Percival [aut]
Maintainer: Narumasa Tsutsumida <rsnaru.jp@gmail.com>

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Package GWnnegPCA updated to version 0.0.6 with previous version 0.0.5 dated 2025-02-05

Title: Geographically Weighted Non-Negative Principal Components Analysis
Description: Implements a geographically weighted non-negative principal components analysis, which consists of the fusion of geographically weighted and sparse non-negative principal components analyses <doi:10.17608/k6.auckland.9850826.v1>.
Author: Narumasa Tsutsumida [aut, cre]
Maintainer: Narumasa Tsutsumida <rsnaru.jp@gmail.com>

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Package compute.es updated to version 0.2-6 with previous version 0.2-5 dated 2020-04-01

Title: Compute Effect Sizes
Description: Several functions are available for calculating the most widely used effect sizes (ES), along with their variances, confidence intervals and p-values. The output includes ES's of d (mean difference), g (unbiased estimate of d), r (correlation coefficient), z' (Fisher's z), and OR (odds ratio and log odds ratio). In addition, NNT (number needed to treat), U3, CLES (Common Language Effect Size) and Cliff's Delta are computed. This package uses recommended formulas as described in The Handbook of Research Synthesis and Meta-Analysis (Cooper, Hedges, & Valentine, 2009). A free web application is available at <https://acdelre.github.io/apps/compute_es/>.
Author: AC Del Re [aut, cre]
Maintainer: AC Del Re <stats@acdelre.com>

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Package oshka (with last version 0.1.2) was removed from CRAN

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2017-10-14 0.1.2

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Package galvanizer (with last version 0.5.3) was removed from CRAN

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2021-05-28 0.5.3
2021-02-01 0.5.1

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Package amberr (with last version 1.2.0) was removed from CRAN

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2025-04-03 1.2.0
2024-07-05 1.1.0
2023-12-13 1.0.0

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Package Quandl (with last version 2.11.0) was removed from CRAN

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

2021-08-11 2.11.0
2019-06-12 2.10.0
2018-08-14 2.9.1
2016-04-23 2.8.0
2015-09-17 2.7.0
2015-04-28 2.6.0
2014-11-04 2.4.0
2014-04-09 2.3.2
2014-04-08 2.3.1
2013-09-12 2.1.2
2013-05-17 2.0
2013-03-19 1.5
2013-02-25 1.1

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Package tidyjson (with last version 0.3.2) was removed from CRAN

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2023-01-06 0.3.2
2020-05-31 0.3.1
2020-05-28 0.3.0
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Package rtsdata (with last version 0.1.4) was removed from CRAN

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2023-09-25 0.1.4
2021-10-29 0.1.3
2020-01-24 0.1.2
2018-10-26 0.1.1

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Package pmhtutorial (with last version 1.5) was removed from CRAN

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2019-03-22 1.5
2019-01-11 1.4
2018-10-18 1.3
2017-10-07 1.2
2016-01-19 1.0.0

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Package warp updated to version 0.2.3 with previous version 0.2.2 dated 2025-11-14

Title: Group Dates
Description: Tooling to group dates by a variety of periods including: yearly, monthly, by second, by week of the month, and more. The groups are defined in such a way that they also represent the distance between dates in terms of the period. This extracts valuable information that can be used in further calculations that rely on a specific temporal spacing between observations.
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package twinning updated to version 1.1 with previous version 1.0 dated 2022-01-28

Title: Data Twinning
Description: An efficient algorithm for data twinning. This work is supported by U.S. National Science Foundation grants DMREF-1921873 and CMMI-1921646.
Author: Akhil Vakayil [aut, cre], Roshan Joseph [aut, ths]
Maintainer: Akhil Vakayil <akhilv@gatech.edu>

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Package trustOptim updated to version 0.8.7.4 with previous version 0.8.7.3 dated 2021-10-11

Title: Trust Region Optimization for Nonlinear Functions with Sparse Hessians
Description: Trust region algorithm for nonlinear optimization. Efficient when the Hessian of the objective function is sparse (i.e., relatively few nonzero cross-partial derivatives). See Braun, M. (2014) <doi:10.18637/jss.v060.i04>.
Author: Michael Braun [aut, cre, cph]
Maintainer: Michael Braun <braunm@smu.edu>

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Package rnn updated to version 1.9.1 with previous version 1.9.0 dated 2023-04-21

Title: Recurrent Neural Network
Description: Implementation of a Recurrent Neural Network architectures in native R, including Long Short-Term Memory (Hochreiter and Schmidhuber, <doi:10.1162/neco.1997.9.8.1735>), Gated Recurrent Unit (Chung et al.) and vanilla RNN.
Author: Bastiaan Quast [aut, cre]
Maintainer: Bastiaan Quast <bquast@gmail.com>

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Package MVN updated to version 6.3 with previous version 6.2 dated 2025-10-10

Title: Multivariate Normality Tests
Description: A comprehensive suite for assessing multivariate normality using six statistical tests (Mardia, Henze–Zirkler, Henze–Wagner, Royston, Doornik–Hansen, Energy). Also includes univariate diagnostics, bivariate density visualization, robust outlier detection, power transformations (e.g., Box–Cox, Yeo–Johnson), and imputation strategies ("mean", "median", "mice") for handling missing data. Bootstrap resampling is supported for selected tests to improve p-value accuracy in small samples. Diagnostic plots are available via both 'ggplot2' and interactive 'plotly' visualizations. See Korkmaz et al. (2014) <https://journal.r-project.org/articles/RJ-2014-031/RJ-2014-031.pdf>.
Author: Selcuk Korkmaz [aut, cre] , Dincer Goksuluk [aut], Gokmen Zararsiz [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package maotai updated to version 0.3.0 with previous version 0.2.7 dated 2025-09-24

Title: Tools for Matrix Algebra, Optimization and Inference
Description: Matrix is an universal and sometimes primary object/unit in applied mathematics and statistics. We provide a number of algorithms for selected problems in optimization and statistical inference. For general exposition to the topic with focus on statistical context, see the book by Banerjee and Roy (2014, ISBN:9781420095388).
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package bartMachineJARs updated to version 1.2.2 with previous version 1.2.1 dated 2022-09-19

Title: bartMachine JARs
Description: These are bartMachine's Java dependency libraries. Note: this package has no functionality of its own and should not be installed as a standalone package without bartMachine.
Author: Adam Kapelner [aut, cre] , Justin Bleich [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

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Package auk updated to version 0.9.1 with previous version 0.9.0 dated 2025-12-17

Title: eBird Data Extraction and Processing in R
Description: Extract and process bird sightings records from eBird (<http://ebird.org>), an online tool for recording bird observations. Public access to the full eBird database is via the eBird Basic Dataset (EBD; see <http://ebird.org/ebird/data/download> for access), a downloadable text file. This package is an interface to AWK for extracting data from the EBD based on taxonomic, spatial, or temporal filters, to produce a manageable file size that can be imported into R.
Author: Matthew Strimas-Mackey [aut, cre] , Eliot Miller [aut], Wesley Hochachka [aut], Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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Package mixedBayes updated to version 0.2.0 with previous version 0.1.12 dated 2025-12-20

Title: Bayesian Longitudinal Regularized Quantile Mixed Model
Description: With high-dimensional omics features, repeated measure ANOVA leads to longitudinal gene-environment interaction studies that have intra-cluster correlations, outlying observations and structured sparsity arising from the ANOVA design. In this package, we have developed robust sparse Bayesian mixed effect models tailored for the above studies (Fan et al. (2025) <doi:10.1093/jrsssc/qlaf027>). An efficient Gibbs sampler has been developed to facilitate fast computation. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in 'C++'. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.
Author: Kun Fan [aut, cre], Shejuty Devnath [aut], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>

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 R/selection_nonsparse.R   |   15 +++++-----
 R/selection_sparse.R      |    4 --
 README.md                 |   50 ++++++++++++++++++++++++++++++++--
 man/GE.Rd                 |only
 man/data.Rd               |    4 ++
 man/mixedBayes.Rd         |   34 +++++++++++++++--------
 man/predict_mixedBayes.Rd |only
 man/reformat.Rd           |only
 23 files changed, 279 insertions(+), 97 deletions(-)

More information about mixedBayes at CRAN
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