Tue, 01 Jul 2025

Package ottr updated to version 1.5.2 with previous version 1.5.1 dated 2024-11-10

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

Diff between ottr versions 1.5.1 dated 2024-11-10 and 1.5.2 dated 2025-07-01

 DESCRIPTION                                                                    |    9 
 LICENSE                                                                        |    6 
 MD5                                                                            |  137 +--
 NAMESPACE                                                                      |   18 
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 README.md                                                                      |   20 
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 man/run_autograder.Rd                                                          |   54 -
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Package BMEmapping updated to version 1.0.0 with previous version 0.3.0 dated 2025-05-13

Title: Spatial Interpolation using Bayesian Maximum Entropy (BME)
Description: Provides an accessible and robust implementation of core BME methodologies for spatial prediction. It enables the systematic integration of heterogeneous data sources including both hard data (precise measurements) and soft interval data (bounded or uncertain observations) while incorporating prior knowledge and supporting variogram-based spatial modeling. The BME methodology is described in Christakos (1990) <doi:10.1007/BF00890661> and Serre and Christakos (1999) <doi:10.1007/s004770050029>.
Author: Kinspride Duah [aut, cre, cph] , Yan Sun [aut]
Maintainer: Kinspride Duah <kinspride2020@gmail.com>

Diff between BMEmapping versions 0.3.0 dated 2025-05-13 and 1.0.0 dated 2025-07-01

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Package vectorsurvR updated to version 1.5.0 with previous version 1.4.0 dated 2025-06-02

Title: Data Access and Analytical Tools for 'VectorSurv' Users
Description: Allows registered 'VectorSurv' <https://vectorsurv.org/> users access to data through the 'VectorSurv API' <https://api.vectorsurv.org/>. Additionally provides functions for analysis and visualization.
Author: Christina De Cesaris [aut, cre]
Maintainer: Christina De Cesaris <cmdecesaris@ucdavis.edu>

Diff between vectorsurvR versions 1.4.0 dated 2025-06-02 and 1.5.0 dated 2025-07-01

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Package piiR updated to version 0.3.0 with previous version 0.2.1 dated 2025-05-07

Title: Predictive Information Index ('PII')
Description: A simple implementation of the Predictive Information Index ('PII').
Author: Kevin E. Wells [aut, cre]
Maintainer: Kevin E. Wells <kevin.e.wells@usm.edu>

Diff between piiR versions 0.2.1 dated 2025-05-07 and 0.3.0 dated 2025-07-01

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More information about piiR at CRAN
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Package itsdm updated to version 0.2.2 with previous version 0.2.1 dated 2023-06-10

Title: Isolation Forest-Based Presence-Only Species Distribution Modeling
Description: Collection of R functions to do purely presence-only species distribution modeling with isolation forest (iForest) and its variations such as Extended isolation forest and SCiForest. See the details of these methods in references: Liu, F.T., Ting, K.M. and Zhou, Z.H. (2008) <doi:10.1109/ICDM.2008.17>, Hariri, S., Kind, M.C. and Brunner, R.J. (2019) <doi:10.1109/TKDE.2019.2947676>, Liu, F.T., Ting, K.M. and Zhou, Z.H. (2010) <doi:10.1007/978-3-642-15883-4_18>, Guha, S., Mishra, N., Roy, G. and Schrijvers, O. (2016) <https://proceedings.mlr.press/v48/guha16.html>, Cortes, D. (2021) <doi:10.48550/arXiv.2110.13402>. Additionally, Shapley values are used to explain model inputs and outputs. See details in references: Shapley, L.S. (1953) <doi:10.1515/9781400881970-018>, Lundberg, S.M. and Lee, S.I. (2017) <https://dm-gatech.github.io/CS8803-Fall2018-DML-Papers/shapley.pdf>, Molnar, C. (2020) <ISBN:978-0-244-76852-2>, Štrumbelj, E. and Kononen [...truncated...]
Author: Lei Song [aut, cre] , Lyndon Estes [ths]
Maintainer: Lei Song <lsong@clarku.edu>

Diff between itsdm versions 0.2.1 dated 2023-06-10 and 0.2.2 dated 2025-07-01

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More information about itsdm at CRAN
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Package AgroReg updated to version 1.2.11 with previous version 1.2.10 dated 2024-01-16

Title: Regression Analysis Linear and Nonlinear for Agriculture
Description: Linear and nonlinear regression analysis common in agricultural science articles (Archontoulis & Miguez (2015). <doi:10.2134/agronj2012.0506>). The package includes polynomial, exponential, gaussian, logistic, logarithmic, segmented, non-parametric models, among others. The functions return the model coefficients and their respective p values, coefficient of determination, root mean square error, AIC, BIC, as well as graphs with the equations automatically.
Author: Gabriel Danilo Shimizu [aut, cre] , Leandro Simoes Azeredo Goncalves [aut, ctb]
Maintainer: Gabriel Danilo Shimizu <gabrield.shimizu@gmail.com>

Diff between AgroReg versions 1.2.10 dated 2024-01-16 and 1.2.11 dated 2025-07-01

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Package covidcast updated to version 0.5.3 with previous version 0.5.2 dated 2023-07-12

Title: Client for Delphi's 'COVIDcast Epidata' API
Description: Tools for Delphi's 'COVIDcast Epidata' API: data access, maps and time series plotting, and basic signal processing. The API includes a collection of numerous indicators relevant to the COVID-19 pandemic in the United States, including official reports, de-identified aggregated medical claims data, large-scale surveys of symptoms and public behavior, and mobility data, typically updated daily and at the county level. All data sources are documented at <https://cmu-delphi.github.io/delphi-epidata/api/covidcast.html>.
Author: Taylor Arnold [aut], Jacob Bien [aut], Logan Brooks [aut], Sarah Colquhoun [aut], David Farrow [aut], Jed Grabman [ctb], Pedrito Maynard-Zhang [ctb], Kathryn Mazaitis [aut], Alex Reinhart [aut, cre] , Ryan Tibshirani [aut]
Maintainer: Alex Reinhart <areinhar@stat.cmu.edu>

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Package ageutils updated to version 0.0.9 with previous version 0.0.8 dated 2025-03-13

Title: Collection of Functions for Working with Age Intervals
Description: Provides a collection of efficient functions for working with individual ages and corresponding intervals. These include functions for conversion from an age to an interval, aggregation of ages with associated counts in to intervals and the splitting of interval counts based on specified age distributions.
Author: Tim Taylor [aut, cre, cph] , Edwin van Leeuwen [aut]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package RegDDM updated to version 1.1 with previous version 1.0 dated 2024-12-05

Title: Generalized Linear Regression with DDM
Description: Drift-Diffusion Model (DDM) has been widely used to model binary decision-making tasks, and many research studies the relationship between DDM parameters and other characteristics of the subject. This package uses 'RStan' to perform generalized liner regression analysis over DDM parameters via a single Bayesian Hierarchical model. Compared to estimating DDM parameters followed by a separate regression model, 'RegDDM' reduces bias and improves statistical power.
Author: Zekai Jin [aut, cre]
Maintainer: Zekai Jin <Jin.Zekai@nyspi.columbia.edu>

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Package isoWater updated to version 1.2.1 with previous version 1.2.0 dated 2024-07-23

Title: Discovery, Retrieval, and Analysis of Water Isotope Data
Description: The wiDB...() functions provide an interface to the public API of the wiDB <https://github.com/SPATIAL-Lab/isoWater/blob/master/Protocol.md>: build, check and submit queries, and receive and unpack responses. Data analysis functions support Bayesian inference of the source and source isotope composition of water samples that may have experienced evaporation. Algorithms adapted from Bowen et al. (2018, <doi:10.1007/s00442-018-4192-5>).
Author: Gabe Bowen [aut, cre]
Maintainer: Gabe Bowen <gabe.bowen@utah.edu>

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Package zdeskR updated to version 0.6.0 with previous version 0.5.0 dated 2025-06-12

Title: Connect to Your 'Zendesk' Data
Description: Facilitates making a connection to the 'Zendesk' API and executing various queries. You can use it to get ticket, ticket metrics, and user data. The 'Zendesk' documentation is available at <https://developer.zendesk.com/rest_api /docs/support/introduction>. This package is not supported by 'Zendesk' (owner of the software).
Author: Chris Umphlett [aut, cre], Avinash Panigrahi [aut]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>

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Package evolMap updated to version 1.3.14 with previous version 1.3.8 dated 2025-01-15

Title: Dynamic and Interactive Maps
Description: Dynamic and Interactive Maps with R, powered by 'leaflet' <https://leafletjs.com>. 'evolMap' generates a web page with interactive and dynamic maps to which you can add geometric entities (points, lines or colored geographic areas), and/or markers with optional links between them. The dynamic ability of these maps allows their components to evolve over a continuous period of time or by periods.
Author: Modesto Escobar [cre, aut, cph] , Carlos Prieto [aut] , David Barrios [aut]
Maintainer: Modesto Escobar <modesto@usal.es>

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Package adelie updated to version 1.0.8 with previous version 1.0.7 dated 2025-02-28

Title: Group Lasso and Elastic Net Solver for Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire group lasso and group elastic net regularization path for GLMs, multinomial, the Cox model and multi-task Gaussian models. Similar to the R package 'glmnet' in scope of models, and in computational speed. This package provides R bindings to the C++ code underlying the corresponding Python package 'adelie'. These bindings offer a general purpose group elastic net solver, a wide range of matrix classes that can exploit special structure to allow large-scale inputs, and an assortment of generalized linear model classes for fitting various types of data. The package is an implementation of Yang, J. and Hastie, T. (2024) <doi:10.48550/arXiv.2405.08631>.
Author: James Yang [aut, cph], Trevor Hastie [aut, cph, cre], Balasubramanian Narasimhan [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>

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Package ggsurveillance updated to version 0.5.0 with previous version 0.4.0 dated 2025-05-09

Title: Tools for Outbreak Investigation/Infectious Disease Surveillance
Description: Create epicurves, epigantt charts, and diverging bar charts using 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation (time series data). Includes tidy functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2', (D) labelling of the last value of a time-series. An introduction on how to use epicurves can be found on the US CDC website (2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).
Author: Alexander Bartel [aut, cre]
Maintainer: Alexander Bartel <alexander.bartel@fu-berlin.de>

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Package mapsf updated to version 1.0.0 with previous version 0.12.0 dated 2024-10-22

Title: Thematic Cartography
Description: Create and integrate thematic maps in your workflow. This package helps to design various cartographic representations such as proportional symbols, choropleth or typology maps. It also offers several functions to display layout elements that improve the graphic presentation of maps (e.g. scale bar, north arrow, title, labels). 'mapsf' maps 'sf' objects on 'base' graphics.
Author: Timothee Giraud [cre, aut] , Hugues Pecout [ctb] , Ronan Ysebaert [ctb] , Elina Marveaux [ctb] , Ian Fellows [cph] , Jim Lemon [cph]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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New package kinesis with initial version 0.2.0
Package: kinesis
Title: 'shiny' Applications for the 'tesselle' Packages
Version: 0.2.0
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Description: A collection of 'shiny' applications for the 'tesselle' packages <https://www.tesselle.org/>. This package provides applications for archaeological data analysis and visualization. These mainly, but not exclusively, include applications for chronological modelling (e.g. matrix seriation, aoristic analysis) and count data analysis (e.g. diversity measures, compositional data analysis).
License: GPL (>= 3)
URL: https://codeberg.org/tesselle/kinesis, https://packages.tesselle.org/kinesis/, https://tesselle.r-universe.dev/kinesis
BugReports: https://codeberg.org/tesselle/kinesis/issues
Depends: R (>= 4.2)
Imports: aion (>= 1.5.0), arkhe (>= 1.11.0), bslib (>= 0.9.0), config (>= 0.3.2), datasets, dimensio (>= 0.14.0), folio (>= 1.5.1), grDevices, gt (>= 1.0.0), isopleuros (>= 1.4.0), kairos (>= 2.3.0), khroma (>= 1.16.0), mirai (>= 2.3.0), nexus (>= 0.6.0), sass (>= 0.4.10), shiny (>= 1.10.0), stats, tabula (>= 3.3.1), utils
Suggests: fontquiver, rsvg, svglite, tinysnapshot, tinytest
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-06-26 14:52:49 UTC; nfrerebeau
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Repository: CRAN
Date/Publication: 2025-07-01 15:00:02 UTC

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New package gilmour with initial version 0.1.0
Package: gilmour
Title: The Interpretation of Adjusted Cp Statistic
Version: 0.1.0
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Description: Several methods may be found for selecting a subset of regressors from a set of k candidate variables in multiple linear regression. One possibility is to evaluate all possible regression models and comparing them using Mallows's Cp statistic (Cp) according to Gilmour original study. Full model is calculated, all possible combinations of regressors are generated, adjusted Cp for each submodel are computed, and the submodel with the minimum adjusted value Cp (ModelMin) is calculated. To identify the final model, the package applies a sequence of hypothesis tests on submodels nested within ModelMin, following the approach outlined in Gilmour's original paper. For more details see the help of the function final_model() and the original study (1996) <doi:10.2307/2348411>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-06-26 08:34:23 UTC; djose
Author: Josef Dolejs [aut, cre]
Maintainer: Josef Dolejs <josef.dolejs@uhk.cz>
Repository: CRAN
Date/Publication: 2025-07-01 14:50:02 UTC

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Package plotor updated to version 0.7.0 with previous version 0.6.0 dated 2025-05-28

Title: Produces an Odds Ratio Plot from a Logistic Regression Model
Description: Produces an Odds Ratio (OR) Plot to visualise the result of a logistic regression analysis. Provide it with a binomial regression model produced by 'glm()' and it will convert the estimates to odds ratios with a 95% confidence interval and plot the results using 'ggplot2'.
Author: Craig Parylo [aut, cre, cph]
Maintainer: Craig Parylo <craig.parylo2@nhs.net>

Diff between plotor versions 0.6.0 dated 2025-05-28 and 0.7.0 dated 2025-07-01

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Package Rogue updated to version 2.1.7 with previous version 2.1.6 dated 2023-11-29

Title: Identify Rogue Taxa in Sets of Phylogenetic Trees
Description: Rogue ("wildcard") taxa are leaves with uncertain phylogenetic position. Their position may vary from tree to tree under inference methods that yield a tree set (e.g. bootstrapping, Bayesian tree searches, maximum parsimony). The presence of rogue taxa in a tree set can potentially remove all information from a consensus tree. The information content of a consensus tree - a function of its resolution and branch support values - can often be increased by removing rogue taxa. 'Rogue' provides an explicitly information-theoretic approach to rogue detection (Smith 2022) <doi:10.1093/sysbio/syab099>, and an interface to 'RogueNaRok' (Aberer et al. 2013) <doi:10.1093/sysbio/sys078>.
Author: Martin R. Smith [aut, cre, cph] , Andre J. Aberer [aut, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between Rogue versions 2.1.6 dated 2023-11-29 and 2.1.7 dated 2025-07-01

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Package quantdr updated to version 1.3.2 with previous version 1.2.2 dated 2022-05-10

Title: Dimension Reduction Techniques for Conditional Quantiles
Description: An implementation of dimension reduction techniques for conditional quantiles. Nonparametric estimation of conditional quantiles is also available.
Author: Eliana Christou [aut, cre]
Maintainer: Eliana Christou <echris15@uncc.edu>

Diff between quantdr versions 1.2.2 dated 2022-05-10 and 1.3.2 dated 2025-07-01

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Package smooth updated to version 4.3.0 with previous version 4.2.0 dated 2025-04-02

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes ADAM (Svetunkov, 2023, <https://openforecast.org/adam/>), Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>) and several simulation functions. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2019, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

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Package restoptr updated to version 1.1.0 with previous version 1.0.6 dated 2023-08-18

Title: Ecological Restoration Planning
Description: Flexible framework for ecological restoration planning. It aims to identify priority areas for restoration efforts using optimization algorithms (based on Justeau-Allaire et al. 2021 <doi:10.1111/1365-2664.13803>). Priority areas can be identified by maximizing landscape indices, such as the effective mesh size (Jaeger 2000 <doi:10.1023/A:1008129329289>), or the integral index of connectivity (Pascual-Hortal & Saura 2006 <doi:10.1007/s10980-006-0013-z>). Additionally, constraints can be used to ensure that priority areas exhibit particular characteristics (e.g., ensure that particular places are not selected for restoration, ensure that priority areas form a single contiguous network). Furthermore, multiple near-optimal solutions can be generated to explore multiple options in restoration planning. The package leverages the 'Choco-solver' software to perform optimization using constraint programming (CP) techniques (<https://choco-solver.org/>).
Author: Dimitri Justeau-Allaire [aut, cre] , Jeffrey O Hanson [aut] , Ghislain Vieilledent [aut] , Philippe Vismara [aut], Xavier Lorca [aut], Philippe Birnbaum [aut]
Maintainer: Dimitri Justeau-Allaire <dimitri.justeau@gmail.com>

Diff between restoptr versions 1.0.6 dated 2023-08-18 and 1.1.0 dated 2025-07-01

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Package metagam updated to version 0.4.1 with previous version 0.4.0 dated 2023-05-05

Title: Meta-Analysis of Generalized Additive Models
Description: Meta-analysis of generalized additive models and generalized additive mixed models. A typical use case is when data cannot be shared across locations, and an overall meta-analytic fit is sought. 'metagam' provides functionality for removing individual participant data from models computed using the 'mgcv' and 'gamm4' packages such that the model objects can be shared without exposing individual data. Furthermore, methods for meta-analysing these fits are provided. The implemented methods are described in Sorensen et al. (2020), <doi:10.1016/j.neuroimage.2020.117416>, extending previous works by Schwartz and Zanobetti (2000) and Crippa et al. (2018) <doi:10.6000/1929-6029.2018.07.02.1>.
Author: Oystein Sorensen [aut, cre] , Andreas M. Brandmaier [aut] , Athanasia Mo Mowinckel [aut]
Maintainer: Oystein Sorensen <oystein.sorensen@psykologi.uio.no>

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Package fitdistrplus updated to version 1.2-3 with previous version 1.2-2 dated 2025-01-07

Title: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
Description: Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME), maximum goodness-of-fit estimation (MGE) and maximum spacing estimation (MSE) methods (available only for non-censored data). Weighted versions of MLE, MME, QME and MSE are available. See e.g. Casella & Berger (2002), Statistical inference, Pacific Grove, for a general introduction to parametric estimation.
Author: Marie-Laure Delignette-Muller [aut] , Christophe Dutang [aut] , Regis Pouillot [ctb], Jean-Baptiste Denis [ctb], Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package countfitteR updated to version 1.5 with previous version 1.4 dated 2020-09-30

Title: Comprehensive Automatized Evaluation of Distribution Models for Count Data
Description: A large number of measurements generate count data. This is a statistical data type that only assumes non-negative integer values and is generated by counting. Typically, counting data can be found in biomedical applications, such as the analysis of DNA double-strand breaks. The number of DNA double-strand breaks can be counted in individual cells using various bioanalytical methods. For diagnostic applications, it is relevant to record the distribution of the number data in order to determine their biomedical significance (Roediger, S. et al., 2018. Journal of Laboratory and Precision Medicine. <doi:10.21037/jlpm.2018.04.10>). The software offers functions for a comprehensive automated evaluation of distribution models of count data. In addition to programmatic interaction, a graphical user interface (web server) is included, which enables fast and interactive data-scientific analyses. The user is supported in selecting the most suitable counting distribution for his own data se [...truncated...]
Author: Jaroslaw Chilimoniuk [cre, ctb] , Alicja Gosiewska [ctb] , Jadwiga Slowik [ctb] , Michal Burdukiewicz [aut] , Stefan Roediger [ctb]
Maintainer: Jaroslaw Chilimoniuk <jaroslaw.chilimoniuk@gmail.com>

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Package iNEXT.3D updated to version 1.0.9 with previous version 1.0.8 dated 2025-02-18

Title: Interpolation and Extrapolation for Three Dimensions of Biodiversity
Description: Biodiversity is a multifaceted concept covering different levels of organization from genes to ecosystems. 'iNEXT.3D' extends 'iNEXT' to include three dimensions (3D) of biodiversity, i.e., taxonomic diversity (TD), phylogenetic diversity (PD) and functional diversity (FD). This package provides functions to compute standardized 3D diversity estimates with a common sample size or sample coverage. A unified framework based on Hill numbers and their generalizations (Hill-Chao numbers) are used to quantify 3D. All 3D estimates are in the same units of species/lineage equivalents and can be meaningfully compared. The package features size- and coverage-based rarefaction and extrapolation sampling curves to facilitate rigorous comparison of 3D diversity across individual assemblages. Asymptotic 3D diversity estimates are also provided. See Chao et al. (2021) <doi:10.1111/2041-210X.13682> for more details.
Author: Anne Chao [aut, cre], KaiHsiang Hu [ctb], PoYen Chuang [ctb]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>

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Package AccelStab updated to version 2.3.1 with previous version 2.2.1 dated 2025-05-27

Title: Accelerated Stability Kinetic Modelling
Description: Estimate the Šesták–Berggren kinetic model (degradation model) from experimental data. A closed-form (analytic) solution to the degradation model is implemented as a non-linear fit, allowing for the extrapolation of the degradation of a drug product - both in time and temperature. Parametric bootstrap, with kinetic parameters drawn from the multivariate t-distribution, and analytical formulae (the delta method) are available options to calculate the confidence and prediction intervals. The results (modelling, extrapolations and statistical intervals) can be visualised with multiple plots. The examples illustrate the accelerated stability modelling in drugs and vaccines development.
Author: Bernard G Franq [aut, cph], Ben Wells [ctb], Alex Ball [cre], Daniel Williams [ctb]
Maintainer: Alex Ball <alex_keith_ball@hotmail.com>

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Package prompter updated to version 1.2.1 with previous version 1.2.0 dated 2024-04-08

Title: Add Tooltips in 'Shiny' Apps with 'Hint.css'
Description: In 'Shiny' apps, it is sometimes useful to store information on a particular item in a tooltip. 'Prompter' allows you to easily create such tooltips, using 'Hint.css'.
Author: Etienne Bacher [aut, cre, cph]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

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Package bayestestR updated to version 0.16.1 with previous version 0.16.0 dated 2025-05-20

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Micah K. Wilson [aut] , Brenton M. Wiernik [aut] , Paul-Christian Buerkner [rev], Tristan Mahr [rev] , Henrik Singmann [ctb] , Quentin F. Gron [...truncated...]
Maintainer: Dominique Makowski <officialeasystats@gmail.com>

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Package postcard updated to version 1.0.1 with previous version 1.0.0 dated 2025-04-08

Title: Estimating Marginal Effects with Prognostic Covariate Adjustment
Description: Conduct power analyses and inference of marginal effects. Uses plug-in estimation and influence functions to perform robust inference, optionally leveraging historical data to increase precision with prognostic covariate adjustment. The methods are described in Højbjerre-Frandsen et al. (2025) <doi:10.48550/arXiv.2503.22284>.
Author: Mathias Lerbech Jeppesen [aut, cre], Emilie Hojbjerre-Frandsen [aut], Novo Nordisk A/S [cph]
Maintainer: Mathias Lerbech Jeppesen <mathiasljeppesen@outlook.com>

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Package statgenIBD updated to version 1.0.9 with previous version 1.0.8 dated 2025-02-05

Title: Calculation of IBD Probabilities
Description: For biparental, three and four-way crosses Identity by Descent (IBD) probabilities can be calculated using Hidden Markov Models and inheritance vectors following Lander and Green (<https://www.jstor.org/stable/29713>) and Huang (<doi:10.1073/pnas.1100465108>). One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.
Author: Martin Boer [aut] , Bart-Jan van Rossum [aut, cre] , Wenhao Li [ctb] , Johannes Kruisselbrink [ctb]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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More information about statgenIBD at CRAN
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Package statgenGWAS updated to version 1.0.12 with previous version 1.0.11 dated 2025-03-31

Title: Genome Wide Association Studies
Description: Fast single trait Genome Wide Association Studies (GWAS) following the method described in Kang et al. (2010), <doi:10.1038/ng.548>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.
Author: Bart-Jan van Rossum [aut, cre] , Willem Kruijer [aut] , Fred van Eeuwijk [ctb] , Martin Boer [ctb] , Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Ron Wehrens [ctb] , Choazhi Zh [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package meteospain updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-17

Title: Access to Spanish Meteorological Stations Services
Description: Access to different Spanish meteorological stations data services and APIs (AEMET, SMC, MG, Meteoclimatic...).
Author: Victor Granda [aut, cre] , Miquel de Caceres [ctb] , Aitor Ameztegui [ctb] , Luis Franco [ctb], Ruben Fernandez-Casal [ctb]
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>

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Package jstable updated to version 1.3.13 with previous version 1.3.12 dated 2025-04-25

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Yoonkyoung Jeon [aut], Jaehun Shon [aut], Hyojong Myung [aut], Hyungwoo Jo [aut], Sungho Choi [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package palettes updated to version 0.2.2 with previous version 0.2.1 dated 2024-07-13

Title: Methods for Colour Vectors and Colour Palettes
Description: Provides a comprehensive library for colour vectors and colour palettes using a new family of colour classes (palettes_colour and palettes_palette) that always print as hex codes with colour previews. Capabilities include: formatting, casting and coercion, extraction and updating of components, plotting, colour mixing arithmetic, and colour interpolation.
Author: Michael McCarthy [aut, cre, cph]
Maintainer: Michael McCarthy <m.mccarthy1624@gmail.com>

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Package volleystat (with last version 0.2.0) was removed from CRAN

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

2019-05-20 0.2.0
2019-02-26 0.1.0

Permanent link
Package ggRandomForests (with last version 2.2.1) was removed from CRAN

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

2022-09-01 2.2.1
2022-05-10 2.2.0
2022-04-26 2.1.0

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