Wed, 02 Jul 2025

Package iNZightTS updated to version 2.0.2 with previous version 2.0.0 dated 2024-01-17

Title: Time Series for 'iNZight'
Description: Provides a collection of functions for working with time series data, including functions for drawing, decomposing, and forecasting. Includes capabilities to compare multiple series and fit both additive and multiplicative models. Used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Holt (1957) <doi:10.1016/j.ijforecast.2003.09.015>, Winters (1960) <doi:10.1287/mnsc.6.3.324>, Cleveland, Cleveland, & Terpenning (1990) "STL: A Seasonal-Trend Decomposition Procedure Based on Loess".
Author: Tom Elliott [aut, cre] , Zhaoming Su [aut], Junjie Zeng [ctb], Simon Potter [ctb], David Banks [ctb], Marco Kuper [ctb], Dongning Zhang [ctb]
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>

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Package spmodel updated to version 0.11.0 with previous version 0.10.0 dated 2025-03-12

Title: Spatial Statistical Modeling and Prediction
Description: Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.
Author: Michael Dumelle [aut, cre] , Matt Higham [aut] , Ryan A. Hill [ctb] , Michael Mahon [ctb] , Jay M. Ver Hoef [aut]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>

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Package Directional updated to version 7.2 with previous version 7.1 dated 2025-02-11

Title: A Collection of Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive data, with millions of observations) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include: a) Paine J.P., Preston S.P., Tsagris M. and Wood A.T.A. (2018). "An elliptically symmetric angular Gaussian distribution". Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). "Comparison of discriminant analysis methods on the sphere". Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) Paine J.P., Preston S.P., Tsagris M. and Wood A.T.A. (2020). "Spherical regression models with general covariates and anisotropic errors". Statistics and Computing 30(1): 153--165. <doi:10.1007/s11222-019-09872 [...truncated...]
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Christos Adam [aut], Zehao Yu [aut], Anamul Sajib [ctb], Eli Amson [ctb], Micah J. Waldstein [ctb], Panagiotis Papastamoulis [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package Ake updated to version 1.0.2 with previous version 1.0.1 dated 2022-06-13

Title: Associated Kernel Estimations
Description: Continuous and discrete (count or categorical) estimation of density, probability mass function (p.m.f.) and regression functions are performed using associated kernels. The cross-validation technique and the local Bayesian procedure are also implemented for bandwidth selection.
Author: W. E. Wansouwe [aut, cre], S. M. Some [aut], C. C. Kokonendji [aut]
Maintainer: W. E. Wansouwe <ericwansouwe@gmail.com>

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Package repmis updated to version 0.5.1 with previous version 0.5 dated 2016-02-07

Title: Miscellaneous Tools for Reproducible Research
Description: Tools to load 'R' packages and automatically generate BibTeX files citing them as well as load and cache plain-text and 'Excel' formatted data stored on 'GitHub', and from other sources.
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

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Package rddtools updated to version 2.0.1 with previous version 1.6.0 dated 2022-01-10

Title: Toolbox for Regression Discontinuity Design ('RDD')
Description: Set of functions for Regression Discontinuity Design ('RDD'), for data visualisation, estimation and testing.
Author: Matthieu Stigler [aut, cre] , Bastiaan Quast [aut]
Maintainer: Matthieu Stigler <Matthieu.Stigler@gmail.com>

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Package lfproQC updated to version 1.4.1 with previous version 1.4.0 dated 2024-10-10

Title: Quality Control for Label-Free Proteomics Expression Data
Description: Label-free bottom-up proteomics expression data is often affected by data heterogeneity and missing values. Normalization and missing value imputation are commonly used techniques to address these issues and make the dataset suitable for further downstream analysis. This package provides an optimal combination of normalization and imputation methods for the dataset. The package utilizes three normalization methods and three imputation methods.The statistical evaluation measures named pooled co-efficient of variance, pooled estimate of variance and pooled median absolute deviation are used for selecting the best combination of normalization and imputation method for the given dataset. The user can also visualize the results by using various plots available in this package. The user can also perform the differential expression analysis between two sample groups with the function included in this package. The chosen three normalization methods, three imputation methods and three evaluati [...truncated...]
Author: Kabilan S [aut, cre], Dr Shashi Bhushan Lal [aut, ths], Dr Sudhir Srivastava [aut, ths], Dr Krishna Kumar Chaturvedi [ths], Dr Yasin Jeshima K [ths], Dr Ramasubramanian V [ths], Dr Girish Kumar Jha [ctb]
Maintainer: Kabilan S <kabilan151414@gmail.com>

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Package ggstats updated to version 0.10.0 with previous version 0.9.0 dated 2025-03-10

Title: Extension to 'ggplot2' for Plotting Stats
Description: Provides new statistics, new geometries and new positions for 'ggplot2' and a suite of functions to facilitate the creation of statistical plots.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package DrugUtilisation updated to version 1.0.4 with previous version 1.0.3 dated 2025-06-03

Title: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model
Description: Summarise patient-level drug utilisation cohorts using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. New users and prevalent users cohorts can be generated and their characteristics, indication and drug use summarised.
Author: Marti Catala [aut, cre] , Mike Du [ctb] , Yuchen Guo [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Xintong Li [ctb] , Marta Alcalde-Herraiz [ctb] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package coda.base updated to version 1.0.3 with previous version 1.0.0 dated 2025-05-02

Title: A Basic Set of Functions for Compositional Data Analysis
Description: A minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison (1982). Main functions have been implemented in c++ for better performance.
Author: Marc Comas-Cufi [aut, cre]
Maintainer: Marc Comas-Cufi <mcomas@imae.udg.edu>

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Package Robyn updated to version 3.12.1 with previous version 3.11.1 dated 2024-06-27

Title: Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science
Description: Semi-Automated Marketing Mix Modeling (MMM) aiming to reduce human bias by means of ridge regression and evolutionary algorithms, enables actionable decision making providing a budget allocation and diminishing returns curves and allows ground-truth calibration to account for causation.
Author: Gufeng Zhou [aut], Bernardo Lares [cre, aut], Igor Skokan [aut], Leonel Sentana [aut], Meta Platforms, Inc. [cph, fnd]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

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Package missingHE updated to version 1.5.1 with previous version 1.5.0 dated 2023-03-21

Title: Missing Outcome Data in Health Economic Evaluation
Description: Contains a suite of functions for health economic evaluations with missing outcome data. The package can fit different types of statistical models under a fully Bayesian approach using the software 'JAGS' (which should be installed locally and which is loaded in 'missingHE' via the 'R' package 'R2jags'). Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models. In addition to model fitting, 'missingHE' provides a set of specialised functions to assess model convergence and fit, and to summarise the statistical and economic results using different types of measures and graphs. The methods implemented are described in Mason (2018) <doi:10.1002/hec.3793>, Molenberghs (2000) <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.
Author: Andrea Gabrio [aut, cre]
Maintainer: Andrea Gabrio <a.gabrio@maastrichtuniversity.nl>

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Package bspcov updated to version 1.0.2 with previous version 1.0.1 dated 2024-11-13

Title: Bayesian Sparse Estimation of a Covariance Matrix
Description: Bayesian estimations of a covariance matrix for multivariate normal data. Assumes that the covariance matrix is sparse or band matrix and positive-definite. Methods implemented include the beta-mixture shrinkage prior (Lee et al. (2022) <doi:10.1016/j.jmva.2022.105067>), screened beta-mixture prior (Lee et al. (2024) <doi:10.1214/24-BA1495>), and post-processed posteriors for banded and sparse covariances (Lee et al. (2023) <doi:10.1214/22-BA1333>; Lee and Lee (2023) <doi:10.1016/j.jeconom.2023.105475>). This software has been developed using funding supported by Basic Science Research Program through the National Research Foundation of Korea ('NRF') funded by the Ministry of Education ('RS-2023-00211979', 'NRF-2022R1A5A7033499', 'NRF-2020R1A4A1018207' and 'NRF-2020R1C1C1A01013338').
Author: Kwangmin Lee [aut], Kyeongwon Lee [aut, cre], Kyoungjae Lee [aut], Seongil Jo [aut], Jaeyong Lee [ctb]
Maintainer: Kyeongwon Lee <kwlee1718@gmail.com>

Diff between bspcov versions 1.0.1 dated 2024-11-13 and 1.0.2 dated 2025-07-02

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Package tidyplots updated to version 0.3.1 with previous version 0.2.2 dated 2025-03-07

Title: Tidy Plots for Scientific Papers
Description: The goal of 'tidyplots' is to streamline the creation of publication-ready plots for scientific papers. It allows to gradually add, remove and adjust plot components using a consistent and intuitive syntax.
Author: Jan Broder Engler [aut, cre, cph]
Maintainer: Jan Broder Engler <broder.engler@gmail.com>

Diff between tidyplots versions 0.2.2 dated 2025-03-07 and 0.3.1 dated 2025-07-02

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Package rencher updated to version 0.1.4 with previous version 0.1.3 dated 2025-05-26

Title: Datasets from the Book "Methods of Multivariate Analysis (3rd)"
Description: Provides the datasets in the book "Methods of Multivariate Analysis (3rd)", such as Table 6.27 Blood Pressure Data, for statistical analysis,especially MANOVA. The dataset names correspond to their numbering in the third edition of the book, such as table6.27. Based on the book by Rencher and Christensen (2012, ISBN:9780470178966).
Author: Atefeh Rashidi Pour [aut, cre], Fatemeh Naderi [aut]
Maintainer: Atefeh Rashidi Pour <rashidiatefeh98@gmail.com>

Diff between rencher versions 0.1.3 dated 2025-05-26 and 0.1.4 dated 2025-07-02

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Package RcppArmadillo updated to version 14.6.0-1 with previous version 14.4.3-1 dated 2025-05-21

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 14.4.3-1 dated 2025-05-21 and 14.6.0-1 dated 2025-07-02

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Permanent link

Package ctrdata updated to version 1.23.0 with previous version 1.22.3 dated 2025-06-08

Title: Retrieve and Analyze Clinical Trials Data from Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from four public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' (<https://clinicaltrials.gov/> and also translating queries the retired classic interface), the 'ISRCTN' (<http://www.isrctn.com/>) and the 'European Union Clinical Trials Information System' ('CTIS', <https://euclinicaltrials.eu/>). Trial information is downloaded, converted and stored in a database ('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via package 'nodbi'). Protocols, statistical analysis plans, informed consent sheets and other documents in registers associated with trials can also be downloaded. Other functions implement trial concepts canonically across registers, identify deduplicated records, easily find and extract variables (fields) of interest even from complex nested data as used by the re [...truncated...]
Author: Ralf Herold [aut, cre] , Marek Kubica [cph] , Ivan Bozhanov [cph]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

Diff between ctrdata versions 1.22.3 dated 2025-06-08 and 1.23.0 dated 2025-07-02

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Package PopGenHelpR updated to version 1.4.0 with previous version 1.3.2 dated 2024-08-02

Title: Streamline Population Genomic and Genetic Analyses
Description: Estimate commonly used population genomic statistics and generate publication quality figures. 'PopGenHelpR' uses vcf, 'geno' (012), and csv files to generate output.
Author: Keaka Farleigh [aut, cph, cre] , Mason Murphy [aut, cph, ctb] , Christopher Blair [aut, cph, ctb] , Tereza Jezkova [aut, cph, ctb]
Maintainer: Keaka Farleigh <keakafarleigh@gmail.com>

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Package fractalforest updated to version 1.0.1 with previous version 1.0.0 dated 2025-06-19

Title: Simulate Fractal Trees and Forests
Description: Create and visualize fractal trees and fractal forests, based on the Lindenmayer system (L-system). For more details see Lindenmayer (1968a) <doi:10.1016/0022-5193(68)90079-9> and Lindenmayer (1968b) <doi:10.1016/0022-5193(68)90080-5>.
Author: Sergio Costa [aut, cre, cph] , Gilmara Machado [aut, cph]
Maintainer: Sergio Costa <sergio.vscf@gmail.com>

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Package xlsxjars updated to version 0.9.0 with previous version 0.6.1 dated 2014-08-22

Title: Package Required POI Jars for the xlsx Package
Description: The xlsxjars package collects all the external jars required for the xlxs package. This release corresponds to POI 3.13.
Author: Cole Arendt [aut, cre], Adrian A. Dragulescu [aut], The Apache Software Foundation [ctb, cph]
Maintainer: Cole Arendt <cole.arendt@outlook.com>

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Package track2KBA updated to version 1.1.3 with previous version 1.1.2 dated 2024-07-01

Title: Identifying Important Areas from Animal Tracking Data
Description: Functions for preparing and analyzing animal tracking data, with the intention of identifying areas which are potentially important at the population level and therefore of conservation interest. Areas identified using this package may be checked against global or regionally-defined criteria, such as those set by the Key Biodiversity Area program. The method published herein is described in full in Beal et al. 2021 <doi:10.1111/2041-210X.13713>.
Author: Martin Beal [aut, cre] , Steffen Oppel [aut] , Maria Dias [aut] , Mark Miller [ctb], Phillip Taylor [ctb], Virginia Morera-Pujol [ctb] , Elizabeth Pearmain [ctb] , Jonathan Handley [ctb] , Ben Lascelles [ctb]
Maintainer: Martin Beal <martinbeal88@gmail.com>

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Package survivalSL updated to version 0.98 with previous version 0.97.1 dated 2025-02-17

Title: Super Learner for Survival Prediction from Censored Data
Description: Several functions and S3 methods to construct a super learner in the presence of censored times-to-event and to evaluate its prognostic capacities.
Author: Yohann Foucher [aut, cre] , Camille Sabathe [aut]
Maintainer: Yohann Foucher <yohann.foucher@univ-poitiers.fr>

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Package statgenHTP updated to version 1.0.9 with previous version 1.0.8 dated 2025-04-29

Title: High Throughput Phenotyping (HTP) Data Analysis
Description: Phenotypic analysis of data coming from high throughput phenotyping (HTP) platforms, including different types of outlier detection, spatial analysis, and parameter estimation. The package is being developed within the EPPN2020 project (<https://cordis.europa.eu/project/id/731013>). Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).
Author: Emilie J Millet [aut] , Maria Xose Rodriguez Alvarez [aut] , Diana Marcela Perez Valencia [aut] , Isabelle Sanchez [aut], Nadine Hilgert [aut], Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [aut] , Martin Boer [aut]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package RRgeo updated to version 0.0.5 with previous version 0.0.3 dated 2025-04-01

Title: Species Distribution Modelling for Rare Species
Description: Performs species distribution modeling for rare species with unprecedented accuracy (Mondanaro et al., 2023 <doi:10.1111/2041-210X.14066>) and finds the area of origin of species and past contact between them taking climatic variability in full consideration (Mondanaro et al., 2025 <doi:10.1111/2041-210X.14478>).
Author: Alessandro Mondanaro [aut], Mirko Di Febbraro [aut], Silvia Castiglione [aut, cre], Carmela Serio [aut], Marina Melchionna [aut], Giorgia Girardi [aut], Pasquale Raia [aut]
Maintainer: Silvia Castiglione <silvia.castiglione@unina.it>

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Package Rcpp updated to version 1.1.0 with previous version 1.0.14 dated 2025-01-12

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <https://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , JJ Allaire [aut] , Kevin Ushey [aut] , Qiang Kou [aut] , Nathan Russell [aut], Inaki Ucar [aut] , Doug Bates [aut] , John Chambers [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 1.0.14 dated 2025-01-12 and 1.1.0 dated 2025-07-02

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Package Patterns updated to version 1.6 with previous version 1.5 dated 2024-05-06

Title: Deciphering Biological Networks with Patterned Heterogeneous Measurements
Description: A modeling tool dedicated to biological network modeling (Bertrand and others 2020, <doi:10.1093/bioinformatics/btaa855>). It allows for single or joint modeling of, for instance, genes and proteins. It starts with the selection of the actors that will be the used in the reverse engineering upcoming step. An actor can be included in that selection based on its differential measurement (for instance gene expression or protein abundance) or on its time course profile. Wrappers for actors clustering functions and cluster analysis are provided. It also allows reverse engineering of biological networks taking into account the observed time course patterns of the actors. Many inference functions are provided and dedicated to get specific features for the inferred network such as sparsity, robust links, high confidence links or stable through resampling links. Some simulation and prediction tools are also available for cascade networks (Jung and others 2014, <doi:10.1093/bioinformati [...truncated...]
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

Diff between Patterns versions 1.5 dated 2024-05-06 and 1.6 dated 2025-07-02

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New package MSclassifR with initial version 0.4.0
Package: MSclassifR
Title: Automated Classification of Mass Spectra
Version: 0.4.0
Maintainer: Alexandre Godmer <alexandre.godmer@aphp.fr>
Description: Functions to classify mass spectra in known categories, and to determine discriminant mass-to-charge values. It includes easy-to-use functions for preprocessing mass spectra, functions to determine discriminant mass-to-charge values (m/z) from a library of mass spectra corresponding to different categories, and functions to predict the category (species, phenotypes, etc.) associated to a mass spectrum from a list of selected mass-to-charge values. If you use this package in your research, please cite the associated publication (<doi:10.1016/j.eswa.2025.128796>). For a comprehensive guide, additional applications, and detailed examples of using this package, please visit our GitHub repository (<https://github.com/agodmer/MSclassifR_examples>).
URL: https://github.com/agodmer/MSclassifR_examples, https://doi.org/10.1016/j.eswa.2025.128796
BugReports: https://github.com/agodmer/MSclassifR_examples/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0), cp4p, caret, statmod, MALDIquant, MALDIrppa,
Imports: e1071, MALDIquantForeign, mixOmics, reshape2, ggplot2, nnet, dplyr, VSURF, metap, xgboost, glmnet, Boruta, mltools, mclust, stats, limma, car, vita, randomForest
Suggests: knitr, rmarkdown,
NeedsCompilation: no
Packaged: 2025-07-02 09:54:43 UTC; qgiaigia
Author: Alexandre Godmer [aut, cre], Quentin Giai Gianetto [aut], Karen Druart [aut]
Repository: CRAN
Date/Publication: 2025-07-02 16:20:16 UTC

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Package iNEXT.3D updated to version 1.0.10 with previous version 1.0.9 dated 2025-07-01

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 GDINA updated to version 2.9.12 with previous version 2.9.9 dated 2025-05-01

Title: The Generalized DINA Model Framework
Description: A set of psychometric tools for cognitive diagnosis modeling based on the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> and its extensions, including the sequential G-DINA model by Ma and de la Torre (2016) <DOI:10.1111/bmsp.12070> for polytomous responses, and the polytomous G-DINA model by Chen and de la Torre <DOI:10.1177/0146621613479818> for polytomous attributes. Joint attribute distribution can be independent, saturated, higher-order, loglinear smoothed or structured. Q-matrix validation, item and model fit statistics, model comparison at test and item level and differential item functioning can also be conducted. A graphical user interface is also provided. For tutorials, please check Ma and de la Torre (2020) <DOI:10.18637/jss.v093.i14>, Ma and de la Torre (2019) <DOI:10.1111/emip.12262>, Ma (2019) <DOI:10.1007/978-3-030-05584-4_29> and de la Torre and Akbay (2019).
Author: Wenchao Ma [aut, cre, cph], Jimmy de la Torre [aut, cph], Miguel Sorrel [ctb], Zhehan Jiang [ctb], Pablo Najera [ctb]
Maintainer: Wenchao Ma <wma@umn.edu>

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Package fetwfe updated to version 1.5.0 with previous version 1.0.0 dated 2025-05-15

Title: Fused Extended Two-Way Fixed Effects
Description: Calculates the fused extended two-way fixed effects (FETWFE) estimator for unbiased and efficient estimation of difference-in-differences in panel data with staggered treatment adoption. This estimator eliminates bias inherent in conventional two-way fixed effects estimators, while also employing a novel bridge regression regularization approach to improve efficiency and yield valid standard errors. Also implements extended TWFE (etwfe) and bridge-penalized ETWFE (betwfe). Provides S3 classes for streamlined workflow and supports flexible tuning (ridge and rank-condition guarantees), automatic covariate centering/scaling, and detailed overall and cohort-specific effect estimates with valid standard errors. Includes simulation and formatting utilities, extensive diagnostic tools, vignettes, and examples. See Faletto (2025) (<doi:10.48550/arXiv.2312.05985>).
Author: Gregory Faletto [aut, cre]
Maintainer: Gregory Faletto <gfaletto@gmail.com>

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New package fishboot with initial version 1.0.2
Package: fishboot
Title: Bootstrap-Based Methods for the Study of Fish Stocks and Aquatic Populations
Version: 1.0.2
Date: 2025-07-02
Description: A suite of bootstrap-based models and tools for analyzing fish stocks and aquatic populations. Designed for ecologists and fisheries scientists, it supports data from length-frequency distributions, tag-and-recapture studies, and hard structure readings (e.g., otoliths). See Schwamborn et al., 2019 <doi:10.1016/j.ecolmodel.2018.12.001> for background. The package includes functions for bootstrapped fitting of growth curves and plotting.
Depends: R (>= 4.1.0)
Imports: doParallel, parallel, foreach, grDevices, graphics, stats, utils, ks, TropFishR, fishmethods
License: GPL-3
BugReports: https://github.com/rschwamborn/fishboot/issues
URL: https://github.com/rschwamborn/fishboot
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-07-02 16:00:27 UTC; RALF
Author: Ralf Schwamborn [aut, cre] , Tobias K. Mildenberger [aut], Marc H. Taylor [aut], Margit Wilhelm [aut] , Wencheng Lau-Medrano [ctb]
Maintainer: Ralf Schwamborn <ralf.schwamborn@ufpe.br>
Repository: CRAN
Date/Publication: 2025-07-02 16:20:07 UTC

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Package dm updated to version 1.0.12 with previous version 1.0.11 dated 2024-11-25

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Mueller [aut, cre] , Antoine Fabri [ctb], Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], Indrajeet Patil [ctb] , Maelle Salmon [ctb] , energie360 AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between dm versions 1.0.11 dated 2024-11-25 and 1.0.12 dated 2025-07-02

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 45 files changed, 374 insertions(+), 334 deletions(-)

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New package unifyR with initial version 1.0.0
Package: unifyR
Title: Unified Scores, Reliabilities and Validities from Multiple Tests
Version: 1.0.0
Maintainer: Dominik Weber <dominik.weber@uni-saarland.de>
Description: In diagnostic contexts, individuals are often assessed using multiple tests that measure the same latent variable (e.g., intelligence). These test scores are typically not exactly identical. Simple averaging neglects the correlation between tests and the reduced variance of their combination. The 'unifyR' package provides functions to compute statistically accurate unified scores, reliabilities and validities of multiple tests. The underlying algorithms build on and extend the method proposed by Evans (1996, <DOI:10.3758/BF03204767>) and have been validated through simulations.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2025-06-27 14:58:26 UTC; Dominik
Author: Dominik Weber [aut, cre], Marco Koch [aut], Frank M. Spinath [aut], Nicolas Becker [aut]
Repository: CRAN
Date/Publication: 2025-07-02 15:20:02 UTC

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Package tidytlg updated to version 0.10.0 with previous version 0.1.6 dated 2025-05-02

Title: Create TLGs using the 'tidyverse'
Description: Generate tables, listings, and graphs (TLG) using 'tidyverse.' Tables can be created functionally, using a standard TLG process, or by specifying table and column metadata to create generic analysis summaries. The 'envsetup' package can also be leveraged to create environments for table creation.
Author: Nicholas Masel [aut], Steven Haesendonckx [aut], Pelagia Alexandra Papadopoulou [aut], Sheng-Wei Wang [aut], Eli Miller [aut] , Nathan Kosiba [aut] , Aidan Ceney [aut] , Janssen R&D [cph, fnd], David Hugh-Jones [cph] , Konrad Pagacz [aut, cre]
Maintainer: Konrad Pagacz <kpagacz@its.jnj.com>

Diff between tidytlg versions 0.1.6 dated 2025-05-02 and 0.10.0 dated 2025-07-02

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 84 files changed, 5113 insertions(+), 4334 deletions(-)

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Permanent link

New package rcrisp with initial version 0.1.3
Package: rcrisp
Title: Automate the Delineation of Urban River Spaces
Version: 0.1.3
Description: Provides tools to automate the morphological delineation of riverside urban areas, based on a method introduced in Forgaci (2018) <doi:10.7480/abe.2018.31>. Delineation entails the identification of corridor boundaries, segmentation of the corridor, and delineation of the river space. The resulting delineation can be used to characterise spatial phenomena that can be related to the river as a central element.
License: Apache License (>= 2)
URL: https://cityriverspaces.github.io/rcrisp/
BugReports: https://github.com/CityRiverSpaces/rcrisp/issues
Depends: R (>= 4.1.0)
Imports: dbscan, dplyr, lwgeom, osmdata, rcoins, rlang, rstac, sf, sfheaders, sfnetworks, stringr, terra, tidygraph, units, visor
Suggests: ggplot2, knitr, purrr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-06-27 08:58:58 UTC; claudiuforgaci
Author: Claudiu Forgaci [aut, cre, cph] , Francesco Nattino [aut] , Fakhereh Alidoost [ctb] , Meiert Willem Grootes [ctb] , Netherlands eScience Center [fnd]
Maintainer: Claudiu Forgaci <c.forgaci@tudelft.nl>
Repository: CRAN
Date/Publication: 2025-07-02 15:10:02 UTC

More information about rcrisp at CRAN
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New package r4pde with initial version 0.1.0
Package: r4pde
Title: Companion to R for Plant Disease Epidemiology Book
Version: 0.1.0
Description: Datasets and utility functions to support the book "R for Plant Disease Epidemiology" (R4PDE). It includes functions for quantifying disease, assessing spatial patterns, and modeling plant disease epidemics based on weather predictors. These tools are intended for teaching and research in plant disease epidemiology. Several functions are based on classical and contemporary methods, including those discussed in Laurence V. Madden, Gareth Hughes, and Frank van den Bosch (2007) <doi:10.1094/9780890545058>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: boot, car, cowplot, dplyr, ggplot2, igraph, interval, lubridate, nasapower, progress, purrr, rlang, stats, survival, tidyr
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
URL: https://github.com/emdelponte/r4pde
BugReports: https://github.com/emdelponte/r4pde/issues
NeedsCompilation: no
Packaged: 2025-06-27 18:58:21 UTC; emersondelponte
Author: Emerson Del Ponte [aut, cre]
Maintainer: Emerson Del Ponte <delponte@ufv.br>
Repository: CRAN
Date/Publication: 2025-07-02 15:30:01 UTC

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New package pwSEM with initial version 1.0.0
Package: pwSEM
Title: Piecewise Structural Equation Modelling
Version: 1.0.0
Description: Conduct dsep tests (piecewise SEM) of a directed, or mixed, acyclic graph without latent variables (but possibly with implicitly marginalized or conditioned latent variables that create dependent errors) based on linear, generalized linear, or additive modelswith or without a nesting structure for the data. Also included are functions to do desp tests step-by-step,exploratory path analysis, and Monte Carlo X2 probabilities. This package accompanies Shipley, B, (2026).Cause and Correlation in Biology: A User's Guide to Path Analysis, StructuralEquations and Causal Inference (3rd edition). Cambridge University Press.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: copula, gamm4, ggm, igraph, mgcv, poolr, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-27 14:05:10 UTC; shij1401
Author: Bill Shipley [aut, cre]
Maintainer: Bill Shipley <Bill.Shipley@USherbrooke.ca>
Repository: CRAN
Date/Publication: 2025-07-02 15:20:05 UTC

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New package autograph with initial version 0.1.2
Package: autograph
Title: Automatic Plotting of Many Graphs
Version: 0.1.2
Date: 2025-06-27
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
URL: https://stocnet.github.io/autograph/
BugReports: https://github.com/stocnet/autograph/issues
License: MIT + file LICENSE
Language: en-GB
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0), manynet
Imports: cli, dplyr (>= 1.1.0), ggdendro, ggplot2, tidyr
Suggests: testthat (>= 3.0.0), patchwork
Enhances: RSiena
NeedsCompilation: no
Packaged: 2025-06-27 20:37:39 UTC; hollway
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>
Repository: CRAN
Date/Publication: 2025-07-02 15:30:06 UTC

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Package ratlas updated to version 0.1.1 with previous version 0.1.0 dated 2024-11-06

Title: ATLAS Formatting Functions and Templates
Description: Provides templates, formatting tools, and 'ggplot2' themes tailored for the Accessible Teaching, Learning, and Assessment Systems (ATLAS) organization. These templates facilitate the creation of topic guides and technical reports, while the formatting functions enable users to customize numbers and tables to meet specific requirements. Additionally, the themes ensure a uniform visual style across graphics.
Author: W. Jake Thompson [aut, cre] , Noelle Pablo [aut], Jeffrey Hoover [aut] , University of Kansas [cph, fnd]
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>

Diff between ratlas versions 0.1.0 dated 2024-11-06 and 0.1.1 dated 2025-07-02

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 man/dlmalias.Rd                                                                            |   70 
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 man/pipe.Rd                                                                                |   30 
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 man/reexports.Rd                                                                           |   38 
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 man/scale_okabeito.Rd                                                                      |   76 
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 man/slides_html.Rd                                                                         |   46 
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More information about ratlas at CRAN
Permanent link

New package FKmL with initial version 0.1.1
Package: FKmL
Title: Fréchet Distance-Based K-Means and Extensions for Longitudinal Data
Version: 0.1.1
Description: Implements shape-based clustering algorithms for multidimensional longitudinal data based on the Fréchet distance. It implements two main methods: MFKmL (Multidimensional Fréchet distance-based K-means for Longitudinal data), an extension of the K-means algorithm using the Fréchet distance originally developed in the 'kmlShape' package, adapted for multidimensional trajectories; and SFKmL (Sparse multidimensional Fréchet distance-based K-medoids for Longitudinal data), a K-medoids-based clustering algorithm that incorporates variable selection. These tools are designed to enhance clustering performance in high-dimensional longitudinal data settings, particularly those with time delays, variations in trajectory speed, irregular sampling intervals, and noise. This package implements methods derived from Kang et al. (2023) <doi:10.1007/s11222-023-10237-z>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: dplyr, ggplot2, proxy, abind
Depends: R (>= 4.3)
NeedsCompilation: no
Packaged: 2025-06-16 07:13:23 UTC; user
Author: Ji Hyun Park [aut, cre], Soon-Sun Kwon [aut], Ilsuk Kang [aut, ctb]
Maintainer: Ji Hyun Park <jhn1105@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-02 15:00:03 UTC

More information about FKmL at CRAN
Permanent link

Package prettifyAddins (with last version 2.6.1) was removed from CRAN

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

2023-09-14 2.6.1
2023-06-30 2.6.0
2022-07-19 2.5.0
2022-01-25 2.4.0
2021-11-17 2.3.0
2021-09-02 2.2.0
2021-08-16 2.1.2
2021-08-05 2.1.1
2020-11-16 2.0.3
2020-11-09 2.0.2
2020-11-06 2.0.1
2020-11-05 2.0.0
2020-10-16 1.0.0
2020-09-29 0.1.0

Permanent link
Package vcfppR updated to version 0.8.0 with previous version 0.7.6 dated 2025-03-31

Title: Rapid Manipulation of the Variant Call Format (VCF)
Description: The 'vcfpp.h' (<https://github.com/Zilong-Li/vcfpp>) provides an easy-to-use 'C++' 'API' of 'htslib', offering full functionality for manipulating Variant Call Format (VCF) files. The 'vcfppR' package serves as the R bindings of the 'vcfpp.h' library, enabling rapid processing of both compressed and uncompressed VCF files. Explore a range of powerful features for efficient VCF data manipulation.
Author: Zilong Li [aut, cre] , Bonfield, James K and Marshall, John and Danecek, Petr and Li, Heng and Ohan, Valeriu and Whitwham, Andrew and Keane, Thomas and Davies, Robert M [cph]
Maintainer: Zilong Li <zilong.dk@gmail.com>

Diff between vcfppR versions 0.7.6 dated 2025-03-31 and 0.8.0 dated 2025-07-02

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Permanent link

Package JustifyAlpha updated to version 0.1.2 with previous version 0.1.1 dated 2021-09-15

Title: Justifying Alpha Levels for Hypothesis Tests
Description: Functions to justify alpha levels for statistical hypothesis tests by avoiding Lindley's paradox, or by minimizing or balancing error rates. For more information about the package please read the following: Maier & Lakens (2021) <doi:10.31234/osf.io/ts4r6>).
Author: Maximilian Maier [aut, cre], Daniel Lakens [aut]
Maintainer: Maximilian Maier <maximilianmaier0401@gmail.com>

Diff between JustifyAlpha versions 0.1.1 dated 2021-09-15 and 0.1.2 dated 2025-07-02

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Permanent link

Package PFIM updated to version 7.0 with previous version 6.1 dated 2024-10-23

Title: Population Fisher Information Matrix
Description: Evaluate or optimize designs for nonlinear mixed effects models using the Fisher Information matrix. Methods used in the package refer to Mentré F, Mallet A, Baccar D (1997) <doi:10.1093/biomet/84.2.429>, Retout S, Comets E, Samson A, Mentré F (2007) <doi:10.1002/sim.2910>, Bazzoli C, Retout S, Mentré F (2009) <doi:10.1002/sim.3573>, Le Nagard H, Chao L, Tenaillon O (2011) <doi:10.1186/1471-2148-11-326>, Combes FP, Retout S, Frey N, Mentré F (2013) <doi:10.1007/s11095-013-1079-3> and Seurat J, Tang Y, Mentré F, Nguyen TT (2021) <doi:10.1016/j.cmpb.2021.106126>.
Author: Romain Leroux [aut, cre] , France Mentre [aut] , Jeremy Seurat [ctb]
Maintainer: Romain Leroux <romainlerouxPFIM@gmail.com>

Diff between PFIM versions 6.1 dated 2024-10-23 and 7.0 dated 2025-07-02

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 PFIM-6.1/PFIM/man/getDataFrameResults.Rd                                                             |only
 PFIM-6.1/PFIM/man/getDelta.Rd                                                                        |only
 PFIM-6.1/PFIM/man/getDerivatives.Rd                                                                  |only
 PFIM-6.1/PFIM/man/getDescription.Rd                                                                  |only
 PFIM-6.1/PFIM/man/getDesigns.Rd                                                                      |only
 PFIM-6.1/PFIM/man/getDistribution.Rd                                                                 |only
 PFIM-6.1/PFIM/man/getDose.Rd                                                                         |only
 PFIM-6.1/PFIM/man/getEigenValues.Rd                                                                  |only
 PFIM-6.1/PFIM/man/getElementaryProtocols.Rd                                                          |only
 PFIM-6.1/PFIM/man/getEquation.Rd                                                                     |only
 PFIM-6.1/PFIM/man/getEquations.Rd                                                                    |only
 PFIM-6.1/PFIM/man/getEquationsAfterInfusion.Rd                                                       |only
 PFIM-6.1/PFIM/man/getEquationsDuringInfusion.Rd                                                      |only
 PFIM-6.1/PFIM/man/getEvaluationFIMResults.Rd                                                         |only
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 PFIM-6.1/PFIM/man/getFixedEffects.Rd                                                                 |only
 PFIM-6.1/PFIM/man/getFixedMu.Rd                                                                      |only
 PFIM-6.1/PFIM/man/getFixedOmega.Rd                                                                   |only
 PFIM-6.1/PFIM/man/getFixedParameters.Rd                                                              |only
 PFIM-6.1/PFIM/man/getFixedTimes.Rd                                                                   |only
 PFIM-6.1/PFIM/man/getInitialConditions.Rd                                                            |only
 PFIM-6.1/PFIM/man/getIterationAndCriteria.Rd                                                         |only
 PFIM-6.1/PFIM/man/getLambda.Rd                                                                       |only
 PFIM-6.1/PFIM/man/getLibraryPDModels.Rd                                                              |only
 PFIM-6.1/PFIM/man/getLibraryPKModels.Rd                                                              |only
 PFIM-6.1/PFIM/man/getMinSampling.Rd                                                                  |only
 PFIM-6.1/PFIM/man/getModel.Rd                                                                        |only
 PFIM-6.1/PFIM/man/getModelEquations.Rd                                                               |only
 PFIM-6.1/PFIM/man/getModelError.Rd                                                                   |only
 PFIM-6.1/PFIM/man/getModelErrorParametersValues.Rd                                                   |only
 PFIM-6.1/PFIM/man/getModelFromLibrary.Rd                                                             |only
 PFIM-6.1/PFIM/man/getModelParameters.Rd                                                              |only
 PFIM-6.1/PFIM/man/getModelParametersValues.Rd                                                        |only
 PFIM-6.1/PFIM/man/getMu.Rd                                                                           |only
 PFIM-6.1/PFIM/man/getName.Rd                                                                         |only
 PFIM-6.1/PFIM/man/getNames.Rd                                                                        |only
 PFIM-6.1/PFIM/man/getNumberOfArms.Rd                                                                 |only
 PFIM-6.1/PFIM/man/getNumberOfIterations.Rd                                                           |only
 PFIM-6.1/PFIM/man/getNumberOfParameters.Rd                                                           |only
 PFIM-6.1/PFIM/man/getNumberOfTimesByWindows.Rd                                                       |only
 PFIM-6.1/PFIM/man/getNumberOfsamplingsOptimisable.Rd                                                 |only
 PFIM-6.1/PFIM/man/getOdeSolverParameters.Rd                                                          |only
 PFIM-6.1/PFIM/man/getOmega.Rd                                                                        |only
 PFIM-6.1/PFIM/man/getOptimalDesign.Rd                                                                |only
 PFIM-6.1/PFIM/man/getOptimalFrequencies.Rd                                                           |only
 PFIM-6.1/PFIM/man/getOptimalWeights.Rd                                                               |only
 PFIM-6.1/PFIM/man/getOptimizationResults.Rd                                                          |only
 PFIM-6.1/PFIM/man/getOptimizer.Rd                                                                    |only
 PFIM-6.1/PFIM/man/getOptimizerParameters.Rd                                                          |only
 PFIM-6.1/PFIM/man/getOutcome.Rd                                                                      |only
 PFIM-6.1/PFIM/man/getOutcomes.Rd                                                                     |only
 PFIM-6.1/PFIM/man/getOutcomesEvaluation.Rd                                                           |only
 PFIM-6.1/PFIM/man/getOutcomesForEvaluation.Rd                                                        |only
 PFIM-6.1/PFIM/man/getOutcomesGradient.Rd                                                             |only
 PFIM-6.1/PFIM/man/getPDModel.Rd                                                                      |only
 PFIM-6.1/PFIM/man/getPKModel.Rd                                                                      |only
 PFIM-6.1/PFIM/man/getPKPDModel.Rd                                                                    |only
 PFIM-6.1/PFIM/man/getParameters.Rd                                                                   |only
 PFIM-6.1/PFIM/man/getPlotOptions.Rd                                                                  |only
 PFIM-6.1/PFIM/man/getProportionsOfSubjects.Rd                                                        |only
 PFIM-6.1/PFIM/man/getSamplingTime.Rd                                                                 |only
 PFIM-6.1/PFIM/man/getSamplingTimeConstraint.Rd                                                       |only
 PFIM-6.1/PFIM/man/getSamplingTimes.Rd                                                                |only
 PFIM-6.1/PFIM/man/getSamplingTimesConstraints.Rd                                                     |only
 PFIM-6.1/PFIM/man/getSamplings.Rd                                                                    |only
 PFIM-6.1/PFIM/man/getSamplingsWindows.Rd                                                             |only
 PFIM-6.1/PFIM/man/getSigmaInter.Rd                                                                   |only
 PFIM-6.1/PFIM/man/getSigmaSlope.Rd                                                                   |only
 PFIM-6.1/PFIM/man/getSize.Rd                                                                         |only
 PFIM-6.1/PFIM/man/getTau.Rd                                                                          |only
 PFIM-6.1/PFIM/man/getTimeDose.Rd                                                                     |only
 PFIM-6.1/PFIM/man/getTinf.Rd                                                                         |only
 PFIM-6.1/PFIM/man/getVariables.Rd                                                                    |only
 PFIM-6.1/PFIM/man/getVarianceEffects.Rd                                                              |only
 PFIM-6.1/PFIM/man/getWeightThreshold.Rd                                                              |only
 PFIM-6.1/PFIM/man/getcError.Rd                                                                       |only
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 PFIM-6.1/PFIM/man/initialize-Arm-method.Rd                                                           |only
 PFIM-6.1/PFIM/man/initialize-Combined1-method.Rd                                                     |only
 PFIM-6.1/PFIM/man/initialize-Constant-method.Rd                                                      |only
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 PFIM-6.1/PFIM/man/initialize-Distribution-method.Rd                                                  |only
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 PFIM-6.1/PFIM/man/initialize-LogNormal-method.Rd                                                     |only
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 PFIM-6.1/PFIM/man/initialize-ModelBolus-method.Rd                                                    |only
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 PFIM-6.1/PFIM/man/initialize-ModelInfusion-method.Rd                                                 |only
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 PFIM-6.1/PFIM/man/initialize-Normal-method.Rd                                                        |only
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 PFIM-6.1/PFIM/man/initialize-PFIMProject-method.Rd                                                   |only
 PFIM-6.1/PFIM/man/initialize-PGBOAlgorithm-method.Rd                                                 |only
 PFIM-6.1/PFIM/man/initialize-PSOAlgorithm-method.Rd                                                  |only
 PFIM-6.1/PFIM/man/initialize-Proportional-method.Rd                                                  |only
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 PFIM-6.1/PFIM/man/isDoseInEquations.Rd                                                               |only
 PFIM-6.1/PFIM/man/isModelAnalytic.Rd                                                                 |only
 PFIM-6.1/PFIM/man/isModelBolus.Rd                                                                    |only
 PFIM-6.1/PFIM/man/isModelInfusion.Rd                                                                 |only
 PFIM-6.1/PFIM/man/isModelODE.Rd                                                                      |only
 PFIM-6.1/PFIM/man/isModelSteadyState.Rd                                                              |only
 PFIM-6.1/PFIM/man/optimize.Rd                                                                        |only
 PFIM-6.1/PFIM/man/parametersForComputingGradient.Rd                                                  |only
 PFIM-6.1/PFIM/man/plotOutcomesEvaluation.Rd                                                          |only
 PFIM-6.1/PFIM/man/plotOutcomesGradient.Rd                                                            |only
 PFIM-6.1/PFIM/man/plotSensitivityIndice.Rd                                                           |only
 PFIM-6.1/PFIM/man/reportTablesAdministration.Rd                                                      |only
 PFIM-6.1/PFIM/man/reportTablesDesign.Rd                                                              |only
 PFIM-6.1/PFIM/man/reportTablesFIM.Rd                                                                 |only
 PFIM-6.1/PFIM/man/reportTablesModelError.Rd                                                          |only
 PFIM-6.1/PFIM/man/reportTablesModelParameters.Rd                                                     |only
 PFIM-6.1/PFIM/man/reportTablesPlot.Rd                                                                |only
 PFIM-6.1/PFIM/man/reportTablesSamplingConstraints.Rd                                                 |only
 PFIM-6.1/PFIM/man/resizeFisherMatrix.Rd                                                              |only
 PFIM-6.1/PFIM/man/setAdministrations.Rd                                                              |only
 PFIM-6.1/PFIM/man/setArm.Rd                                                                          |only
 PFIM-6.1/PFIM/man/setArms.Rd                                                                         |only
 PFIM-6.1/PFIM/man/setContent.Rd                                                                      |only
 PFIM-6.1/PFIM/man/setDataForArmEvaluation.Rd                                                         |only
 PFIM-6.1/PFIM/man/setDataForModelEvaluation.Rd                                                       |only
 PFIM-6.1/PFIM/man/setDerivatives.Rd                                                                  |only
 PFIM-6.1/PFIM/man/setDescription.Rd                                                                  |only
 PFIM-6.1/PFIM/man/setDesigns.Rd                                                                      |only
 PFIM-6.1/PFIM/man/setDistribution.Rd                                                                 |only
 PFIM-6.1/PFIM/man/setDose.Rd                                                                         |only
 PFIM-6.1/PFIM/man/setEquation.Rd                                                                     |only
 PFIM-6.1/PFIM/man/setEquations.Rd                                                                    |only
 PFIM-6.1/PFIM/man/setEquationsAfterInfusion.Rd                                                       |only
 PFIM-6.1/PFIM/man/setEquationsDuringInfusion.Rd                                                      |only
 PFIM-6.1/PFIM/man/setEvaluationFIMResults.Rd                                                         |only
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 PFIM-6.1/PFIM/man/setFim.Rd                                                                          |only
 PFIM-6.1/PFIM/man/setFimTypeToString.Rd                                                              |only
 PFIM-6.1/PFIM/man/setFisherMatrix.Rd                                                                 |only
 PFIM-6.1/PFIM/man/setFixedEffects.Rd                                                                 |only
 PFIM-6.1/PFIM/man/setFixedMu.Rd                                                                      |only
 PFIM-6.1/PFIM/man/setFixedOmega.Rd                                                                   |only
 PFIM-6.1/PFIM/man/setInitialConditions.Rd                                                            |only
 PFIM-6.1/PFIM/man/setIterationAndCriteria.Rd                                                         |only
 PFIM-6.1/PFIM/man/setModel.Rd                                                                        |only
 PFIM-6.1/PFIM/man/setModelError.Rd                                                                   |only
 PFIM-6.1/PFIM/man/setModelFromLibrary.Rd                                                             |only
 PFIM-6.1/PFIM/man/setMu.Rd                                                                           |only
 PFIM-6.1/PFIM/man/setName.Rd                                                                         |only
 PFIM-6.1/PFIM/man/setNumberOfArms.Rd                                                                 |only
 PFIM-6.1/PFIM/man/setOdeSolverParameters.Rd                                                          |only
 PFIM-6.1/PFIM/man/setOmega.Rd                                                                        |only
 PFIM-6.1/PFIM/man/setOptimalDesign.Rd                                                                |only
 PFIM-6.1/PFIM/man/setOptimalWeights.Rd                                                               |only
 PFIM-6.1/PFIM/man/setOptimizationResults.Rd                                                          |only
 PFIM-6.1/PFIM/man/setOutcome.Rd                                                                      |only
 PFIM-6.1/PFIM/man/setOutcomes.Rd                                                                     |only
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 PFIM-6.1/PFIM/man/setOutcomesForEvaluation.Rd                                                        |only
 PFIM-6.1/PFIM/man/setOutcomesGradient.Rd                                                             |only
 PFIM-6.1/PFIM/man/setParameters.Rd                                                                   |only
 PFIM-6.1/PFIM/man/setSamplingTime.Rd                                                                 |only
 PFIM-6.1/PFIM/man/setSamplingTimes.Rd                                                                |only
 PFIM-6.1/PFIM/man/setSamplingTimesConstraints.Rd                                                     |only
 PFIM-6.1/PFIM/man/setSamplings.Rd                                                                    |only
 PFIM-6.1/PFIM/man/setShrinkage.Rd                                                                    |only
 PFIM-6.1/PFIM/man/setSigmaInter.Rd                                                                   |only
 PFIM-6.1/PFIM/man/setSigmaSlope.Rd                                                                   |only
 PFIM-6.1/PFIM/man/setSize.Rd                                                                         |only
 PFIM-6.1/PFIM/man/setTau.Rd                                                                          |only
 PFIM-6.1/PFIM/man/setTimeDose.Rd                                                                     |only
 PFIM-6.1/PFIM/man/setTinf.Rd                                                                         |only
 PFIM-6.1/PFIM/man/setVarianceEffects.Rd                                                              |only
 PFIM-6.1/PFIM/man/setcError.Rd                                                                       |only
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 PFIM-6.1/PFIM/tests/testthat/test_PKPDModels-PFIM.R                                                  |only
 PFIM-7.0/PFIM/DESCRIPTION                                                                            |   85 
 PFIM-7.0/PFIM/MD5                                                                                    |  582 +--
 PFIM-7.0/PFIM/NAMESPACE                                                                              |  340 -
 PFIM-7.0/PFIM/NEWS.md                                                                                |only
 PFIM-7.0/PFIM/R/Administration.R                                                                     |  322 -
 PFIM-7.0/PFIM/R/AdministrationConstraints.R                                                          |   95 
 PFIM-7.0/PFIM/R/Arm.R                                                                                | 1178 +++---
 PFIM-7.0/PFIM/R/BayesianFim.R                                                                        |  925 ++---
 PFIM-7.0/PFIM/R/Combined1.R                                                                          |  133 
 PFIM-7.0/PFIM/R/Constant.R                                                                           |  138 
 PFIM-7.0/PFIM/R/Design.R                                                                             | 1497 +-------
 PFIM-7.0/PFIM/R/Distribution.R                                                                       |  180 -
 PFIM-7.0/PFIM/R/Evaluation.R                                                                         | 1028 ++----
 PFIM-7.0/PFIM/R/FedorovWynnAlgorithm.R                                                               |  677 +--
 PFIM-7.0/PFIM/R/Fim.R                                                                                |  594 ---
 PFIM-7.0/PFIM/R/IndividualFim.R                                                                      | 1017 +++--
 PFIM-7.0/PFIM/R/LibraryOfModels.R                                                                    |  236 -
 PFIM-7.0/PFIM/R/LibraryOfPDModels.R                                                                  |  219 -
 PFIM-7.0/PFIM/R/LibraryOfPKModels.R                                                                  |  895 +----
 PFIM-7.0/PFIM/R/LogNormal.R                                                                          |   67 
 PFIM-7.0/PFIM/R/Model.R                                                                              | 1705 +---------
 PFIM-7.0/PFIM/R/ModelAnalytic.R                                                                      | 1156 +-----
 PFIM-7.0/PFIM/R/ModelAnalyticInfusion.R                                                              | 1687 ++-------
 PFIM-7.0/PFIM/R/ModelAnalyticInfusionSteadyState.R                                                   |  905 ++---
 PFIM-7.0/PFIM/R/ModelAnalyticSteadyState.R                                                           | 1120 +-----
 PFIM-7.0/PFIM/R/ModelError.R                                                                         |  517 ---
 PFIM-7.0/PFIM/R/ModelInfusion.R                                                                      |  194 -
 PFIM-7.0/PFIM/R/ModelODE.R                                                                           |   59 
 PFIM-7.0/PFIM/R/ModelODEBolus.R                                                                      |  748 +---
 PFIM-7.0/PFIM/R/ModelODEDoseInEquations.R                                                            |  837 +---
 PFIM-7.0/PFIM/R/ModelODEDoseNotInEquations.R                                                         |  701 +---
 PFIM-7.0/PFIM/R/ModelODEInfusion.R                                                                   |   60 
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 PFIM-7.0/PFIM/R/ModelParameter.R                                                                     |  354 --
 PFIM-7.0/PFIM/R/MultiplicativeAlgorithm.R                                                            |  696 +---
 PFIM-7.0/PFIM/R/Normal.R                                                                             |   61 
 PFIM-7.0/PFIM/R/Optimization.R                                                                       | 1551 +++------
 PFIM-7.0/PFIM/R/PFIM-package.R                                                                       |  667 ---
 PFIM-7.0/PFIM/R/PFIMProject.R                                                                        |  524 +--
 PFIM-7.0/PFIM/R/PGBOAlgorithm.R                                                                      |  933 +----
 PFIM-7.0/PFIM/R/PSOAlgorithm.R                                                                       | 1066 ++----
 PFIM-7.0/PFIM/R/PopulationFim.R                                                                      | 1226 +++----
 PFIM-7.0/PFIM/R/Proportional.R                                                                       |  138 
 PFIM-7.0/PFIM/R/SamplingTimeConstraints.R                                                            |  551 ---
 PFIM-7.0/PFIM/R/SamplingTimes.R                                                                      |  140 
 PFIM-7.0/PFIM/R/SimplexAlgorithm.R                                                                   |  707 +---
 PFIM-7.0/PFIM/R/zzz.R                                                                                |only
 PFIM-7.0/PFIM/build/partial.rdb                                                                      |binary
 PFIM-7.0/PFIM/build/vignette.rds                                                                     |binary
 PFIM-7.0/PFIM/inst/CITATION                                                                          |only
 PFIM-7.0/PFIM/inst/doc/Example01.R                                                                   |  718 ++--
 PFIM-7.0/PFIM/inst/doc/Example01.Rmd                                                                 |  185 -
 PFIM-7.0/PFIM/inst/doc/Example01.html                                                                |  533 +--
 PFIM-7.0/PFIM/inst/doc/Example02.R                                                                   |  537 +--
 PFIM-7.0/PFIM/inst/doc/Example02.Rmd                                                                 |  209 -
 PFIM-7.0/PFIM/inst/doc/Example02.html                                                                |  441 +-
 PFIM-7.0/PFIM/inst/doc/LibraryOfModels.R                                                             |  143 
 PFIM-7.0/PFIM/inst/doc/LibraryOfModels.Rmd                                                           |  211 +
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 PFIM-7.0/PFIM/man/Administration.Rd                                                                  |only
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 PFIM-7.0/PFIM/man/Arm.Rd                                                                             |only
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 PFIM-7.0/PFIM/man/Combined1.Rd                                                                       |only
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 PFIM-7.0/PFIM/man/Design.Rd                                                                          |only
 PFIM-7.0/PFIM/man/Distribution.Rd                                                                    |only
 PFIM-7.0/PFIM/man/Evaluation.Rd                                                                      |only
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 PFIM-7.0/PFIM/man/FedorovWynnAlgorithm_Rcpp.Rd                                                       |   98 
 PFIM-7.0/PFIM/man/Fim.Rd                                                                             |only
 PFIM-7.0/PFIM/man/IndividualFim.Rd                                                                   |only
 PFIM-7.0/PFIM/man/LibraryOfModels.Rd                                                                 |only
 PFIM-7.0/PFIM/man/LibraryOfPDModels.Rd                                                               |   27 
 PFIM-7.0/PFIM/man/LibraryOfPKModels.Rd                                                               |   27 
 PFIM-7.0/PFIM/man/Linear2BolusSingleDose_ClQV1V2.Rd                                                  |only
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 PFIM-7.0/PFIM/man/LogNormal.Rd                                                                       |only
 PFIM-7.0/PFIM/man/Model.Rd                                                                           |only
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 PFIM-7.0/PFIM/man/getFim.Rd                                                                          |   41 
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New package libimath with initial version 3.1.9-4
Package: libimath
Title: 'Imath' Computer Graphics Linear Algebra Static Library
Version: 3.1.9-4
Description: Provides a static library for 'Imath' (see <https://github.com/AcademySoftwareFoundation/Imath>), a library for functions and data types common in computer graphics applications, including a 16-bit floating-point type.
License: BSD_3_clause + file LICENSE
SystemRequirements: GNU Make, cmake
Encoding: UTF-8
Biarch: TRUE
NeedsCompilation: yes
Packaged: 2025-06-30 03:21:02 UTC; tyler
Author: Tyler Morgan-Wall [aut, cre] , Andrew Kunz [ctb, cph], Antonio Rojas [ctb, cph], Brecht Van Lommel [ctb, cph], Cary Phillips [ctb, cph], Christina Tempelaar-Lietz [ctb, cph], Christopher Kulla [ctb, cph], Daniel Kaneider [ctb, cph], Dirk Lemstra [ctb [...truncated...]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-02 12:10:02 UTC

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Package manydist updated to version 0.4.5 with previous version 0.4.4 dated 2025-06-23

Title: Unbiased Distances for Mixed-Type Data
Description: A comprehensive framework for calculating unbiased distances in datasets containing mixed-type variables (numerical and categorical). The package implements a general formulation that ensures multivariate additivity and commensurability, meaning that variables contribute equally to the overall distance regardless of their type, scale, or distribution. Supports multiple distance measures including Gower's distance, Euclidean distance, Manhattan distance, and various categorical variable distances such as simple matching, Eskin, occurrence frequency, and association-based distances. Provides tools for variable scaling (standard deviation, range, robust range, and principal component scaling), and handles both independent and association-based category dissimilarities. Implements methods to correct for biases that typically arise from different variable types, distributions, and number of categories. Particularly useful for cluster analysis, data visualization, and other distance-based me [...truncated...]
Author: Alfonso Iodice D'Enza [aut], Angelos Markos [aut, cre], Michel van de Velden [aut], Carlo Cavicchia [aut]
Maintainer: Angelos Markos <amarkos@gmail.com>

Diff between manydist versions 0.4.4 dated 2025-06-23 and 0.4.5 dated 2025-07-02

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Package libdeflate (with last version 1.24-4) was removed from CRAN

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

2025-06-29 1.24-4
2025-06-27 1.24-3
2025-06-24 1.24-2

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Package sampcompR updated to version 0.3.1.1 with previous version 0.3.0 dated 2025-03-02

Title: Comparing and Visualizing Differences Between Surveys
Description: Easily analyze and visualize differences between samples (e.g., benchmark comparisons, nonresponse comparisons in surveys) on three levels. The comparisons can be univariate, bivariate or multivariate. On univariate level the variables of interest of a survey and a comparison survey (i.e. benchmark) are compared, by calculating one of several difference measures (e.g., relative difference in mean), and an average difference between the surveys. On bivariate level a function can calculate significant differences in correlations for the surveys. And on multivariate levels a function can calculate significant differences in model coefficients between the surveys of comparison. All of those differences can be easily plotted and outputted as a table. For more detailed information on the methods and example use see Rohr, B., Silber, H., & Felderer, B. (2024). Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Nonprobability Surveys with Po [...truncated...]
Author: Bjoern Rohr [aut, cre, cph], Barbara Felderer [aut]
Maintainer: Bjoern Rohr <bjoern.rohr@gesis.org>

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Package restoptr updated to version 1.1.1 with previous version 1.1.0 dated 2025-07-01

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] , Guillaume Lannuzel [aut], Philippe Vismara [aut], Xavier Lorca [aut], Philippe Birnbaum [aut]
Maintainer: Dimitri Justeau-Allaire <dimitri.justeau@gmail.com>

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Package qpdf updated to version 1.4.1 with previous version 1.4.0 dated 2025-06-29

Title: Split, Combine and Compress PDF Files
Description: Content-preserving transformations transformations of PDF files such as split, combine, and compress. This package interfaces directly to the 'qpdf' C++ library <https://qpdf.sourceforge.io/> and does not require any command line utilities. Note that 'qpdf' does not read actual content from PDF files: to extract text and data you need the 'pdftools' package.
Author: Jeroen Ooms [aut, cre] , Ben Raymond [ctb], Jay Berkenbilt [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package predRupdate updated to version 0.2.1 with previous version 0.2.0 dated 2024-08-23

Title: Prediction Model Validation and Updating
Description: Evaluate the predictive performance of an existing (i.e. previously developed) prediction/ prognostic model given relevant information about the existing prediction model (e.g. coefficients) and a new dataset. Provides a range of model updating methods that help tailor the existing model to the new dataset; see Su et al. (2018) <doi:10.1177/0962280215626466>. Techniques to aggregate multiple existing prediction models on the new data are also provided; see Debray et al. (2014) <doi:10.1002/sim.6080> and Martin et al. (2018) <doi:10.1002/sim.7586>).
Author: Glen P. Martin [aut, cre, cph] , David Jenkins [aut, cph], Matthew Sperrin [aut, cph]
Maintainer: Glen P. Martin <glen.martin31@gmail.com>

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Package ggsurveillance updated to version 0.5.1 with previous version 0.5.0 dated 2025-07-01

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 cobs updated to version 1.3-9-1 with previous version 1.3-9 dated 2024-12-19

Title: Constrained B-Splines (Sparse Matrix Based)
Description: Qualitatively Constrained (Regression) Smoothing Splines via Linear Programming and Sparse Matrices.
Author: Pin T. Ng [aut], Martin Maechler [aut, cre]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package survivalPLANN updated to version 0.4 with previous version 0.1 dated 2024-08-20

Title: Neural Networks to Predict Survival
Description: Several functions and S3 methods to predict survival by using neural networks. We implemented Partial Logistic Artificial Neural Networks (PLANN) as proposed by Biganzoli et al. (1998) <https://pubmed.ncbi.nlm.nih.gov/9618776>.
Author: Yohann Foucher [aut, cre] , Thomas Ollard [aut]
Maintainer: Yohann Foucher <yohann.foucher@univ-poitiers.fr>

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Package SLOPE updated to version 1.0.1 with previous version 1.0.0 dated 2025-06-30

Title: Sorted L1 Penalized Estimation
Description: Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm (Bogdan et al. 2015). Supported models include ordinary least-squares regression, binomial regression, multinomial regression, and Poisson regression. Both dense and sparse predictor matrices are supported. In addition, the package features predictor screening rules that enable fast and efficient solutions to high-dimensional problems.
Author: Johan Larsson [aut, cre] , Jonas Wallin [aut] , Malgorzata Bogdan [aut] , Ewout van den Berg [aut], Chiara Sabatti [aut], Emmanuel Candes [aut], Evan Patterson [aut], Weijie Su [aut], Jakub Kala [aut], Krystyna Grzesiak [aut], Mathurin Massias [aut], [...truncated...]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

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Package reproducibleRchunks updated to version 1.1.0 with previous version 1.0.3 dated 2025-02-26

Title: Automated Reproducibility Checks for R Markdown Documents
Description: Provide reproducible R chunks in R Markdown document that automatically check computational results for reproducibility. This is achieved by creating json files storing metadata about computational results. A comprehensive tutorial to the package is available as preprint by Brandmaier & Peikert (2024, <doi:10.31234/osf.io/3zjvf>).
Author: Andreas M. Brandmaier [aut, cre], Aaron Peikert [ctb]
Maintainer: Andreas M. Brandmaier <andreas.brandmaier@medicalschool-berlin.de>

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Package qmd updated to version 1.1.3 with previous version 1.1.2 dated 2022-08-22

Title: Quantification of Multivariate Dependence
Description: A multivariate copula-based dependence measure. For more information, see Griessenberger, Junker, Trutschnig (2022), On a multivariate copula-based dependence measure and its estimation, Electronic Journal of Statistics, 16, 2206-2251.
Author: Lea Maislinger [aut, cre], Florian Griessenberger [aut], Robert R. Junker [aut], Valentin Petztel [aut], Wolfgang Trutschnig [aut]
Maintainer: Lea Maislinger <lea.maislinger@plus.ac.at>

Diff between qmd versions 1.1.2 dated 2022-08-22 and 1.1.3 dated 2025-07-02

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Package qad updated to version 1.0.5 with previous version 1.0.4 dated 2022-12-14

Title: Quantification of Asymmetric Dependence
Description: A copula-based measure for quantifying asymmetry in dependence and associations. Documentation and theory about 'qad' is provided by the paper by Junker, Griessenberger & Trutschnig (2021, <doi:10.1016/j.csda.2020.107058>), and the paper by Trutschnig (2011, <doi:10.1016/j.jmaa.2011.06.013>).
Author: Thimo Kasper [aut], Florian Griessenberger [aut], Robert R. Junker [aut], Valentin Petzel [aut], Wolfgang Trutschnig [aut], Lea Maislinger [cre]
Maintainer: Lea Maislinger <lea.maislinger@plus.ac.at>

Diff between qad versions 1.0.4 dated 2022-12-14 and 1.0.5 dated 2025-07-02

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Package pdcor updated to version 1.2 with previous version 1.0 dated 2025-02-25

Title: Fast and Light-Weight Partial Distance Correlation
Description: Fast and memory-less computation of the partial distance correlation for vectors and matrices. Permutation-based and asymptotic hypothesis testing for zero partial distance correlation are also performed. References include: Szekely G. J. and Rizzo M. L. (2014). "Partial distance correlation with methods for dissimilarities". The Annals Statistics, 42(6): 2382--2412. <doi:10.1214/14-AOS1255>. Shen C., Panda S. and Vogelstein J. T. (2022). "The Chi-Square Test of Distance Correlation". Journal of Computational and Graphical Statistics, 31(1): 254--262. <doi:10.1080/10618600.2021.1938585>. Szekely G. J. and Rizzo M. L. (2023). "The Energy of Data and Distance Correlation". Chapman and Hall/CRC. <ISBN:9781482242744>. Kontemeniotis N., Vargiakakis R. and Tsagris M. (2025). On independence testing using the (partial) distance correlation. <doi:10.48550/arXiv.2506.15659>.
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between pdcor versions 1.0 dated 2025-02-25 and 1.2 dated 2025-07-02

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Package ordr updated to version 0.1.2 with previous version 0.1.1 dated 2022-10-20

Title: A 'tidyverse' Extension for Ordinations and Biplots
Description: Ordination comprises several multivariate exploratory and explanatory techniques with theoretical foundations in geometric data analysis; see Podani (2000, ISBN:90-5782-067-6) for techniques and applications and Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0> for foundations. Greenacre (2010, ISBN:978-84-923846) shows how the most established of these, including principal components analysis, correspondence analysis, multidimensional scaling, factor analysis, and discriminant analysis, rely on eigen-decompositions or singular value decompositions of pre-processed numeric matrix data. These decompositions give rise to a set of shared coordinates along which the row and column elements can be measured. The overlay of their scatterplots on these axes, introduced by Gabriel (1971) <doi:10.1093/biomet/58.3.453>, is called a biplot. 'ordr' provides inspection, extraction, manipulation, and visualization tools for several popular ordination classes supported by a set of r [...truncated...]
Author: Jason Cory Brunson [aut, cre] , Emily Paul [ctb]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>

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Package mappeR updated to version 2.2.1 with previous version 2.2.0 dated 2025-06-28

Title: Construct and Visualize TDA Mapper Graphs
Description: Topological data analysis (TDA) is a method of data analysis that uses techniques from topology to analyze high-dimensional data. Here we implement Mapper, an algorithm from this area developed by Singh, Mémoli and Carlsson (2007) which generalizes the concept of a Reeb graph <https://en.wikipedia.org/wiki/Reeb_graph>.
Author: George Clare Kennedy [aut, cre]
Maintainer: George Clare Kennedy <george-clarekennedy@uiowa.edu>

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Package jsmodule updated to version 1.6.11 with previous version 1.6.9 dated 2025-05-27

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Hyunki Lee [aut], Changwoo Lim [aut], Jinhwan Kim [aut] , Yoonkyoung Jeon [aut], Jaewoong Heo [aut], Youngsun Park [aut] , Hyungwoo Jo [aut], Jeongmin Seo [aut], Hojun LEE [aut], Sungho Choi [aut], Yeji Ka [...truncated...]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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New package distfreereg with initial version 1.1
Package: distfreereg
Title: Distribution-Free Goodness-of-Fit Testing for Regression
Version: 1.1
Depends: R (>= 4.4)
Imports: calculus, clue, lme4, methods
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
Date: 2025-07-01
Maintainer: Jesse Miller <mill9116@umn.edu>
Description: Implements the distribution-free goodness-of-fit regression test for the mean structure of parametric models introduced in Khmaladze (2021) <doi:10.1007/s10463-021-00786-3>. The test is implemented for general functions with minimal distributional assumptions as well as common models (e.g., lm, glm) with the usual assumptions.
License: GPL-3
NeedsCompilation: no
Packaged: 2025-06-30 22:31:17 UTC; Jesse
Author: Jesse Miller [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-02 09:00:12 UTC

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Package AgroR updated to version 1.3.7 with previous version 1.3.6 dated 2024-04-23

Title: Experimental Statistics and Graphics for Agricultural Sciences
Description: Performs the analysis of completely randomized experimental designs (CRD), randomized blocks (RBD) and Latin square (LSD), experiments in double and triple factorial scheme (in CRD and RBD), experiments in subdivided plot scheme (in CRD and RBD), subdivided and joint analysis of experiments in CRD and RBD, linear regression analysis, test for two samples. The package performs analysis of variance, ANOVA assumptions and multiple comparison test of means or regression, according to Pimentel-Gomes (2009, ISBN: 978-85-7133-055-9), nonparametric test (Conover, 1999, ISBN: 0471160687), test for two samples, joint analysis of experiments according to Ferreira (2018, ISBN: 978-85-7269-566-4) and generalized linear model (glm) for binomial and Poisson family in CRD and RBD (Carvalho, FJ (2019), <doi:10.14393/ufu.te.2019.1244>). It can also be used to obtain descriptive measures and graphics, in addition to correlations and creative graphics used in agricultural sciences (Agronomy, Zootech [...truncated...]
Author: Gabriel Danilo Shimizu [aut, cre] , Rodrigo Yudi Palhaci Marubayashi [aut, ctb] , Leandro Simoes Azeredo Goncalves [aut, ctb]
Maintainer: Gabriel Danilo Shimizu <gabrield.shimizu@gmail.com>

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Package pollimetry (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:

2018-11-19 1.0.1
2018-09-11 1.0.0

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Package ipcwswitch (with last version 1.0.4) was removed from CRAN

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2021-02-17 1.0.4
2019-05-15 1.0.3
2019-02-16 1.0.2
2018-11-16 1.0.1

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Package parzer (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:

2025-05-29 0.4.3
2025-05-19 0.4.2
2021-12-20 0.4.1
2021-02-16 0.4.0
2020-10-13 0.3.0
2020-10-07 0.2.0
2020-03-29 0.1.4
2020-03-19 0.1.0

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Package mixtur (with last version 1.2.1) was removed from CRAN

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

2023-04-06 1.2.1

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Package rim (with last version 0.8.0) was removed from CRAN

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

2025-04-01 0.8.0

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Package ARUtools (with last version 0.7.2) was removed from CRAN

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2025-03-19 0.7.2
2024-10-08 0.7.1
2024-09-06 0.7.0
2024-04-18 0.6.2

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Package ale (with last version 0.5.0) was removed from CRAN

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2025-04-09 0.5.0
2025-03-10 0.3.1
2024-02-13 0.3.0
2023-10-19 0.2.0
2023-08-29 0.1.0

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Package flightsbr (with last version 1.1.0) was removed from CRAN

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2025-05-19 1.1.0
2024-10-22 1.0.0
2024-09-18 0.5.0
2024-04-23 0.4.1
2023-12-04 0.4.0
2023-06-29 0.3.0
2022-11-27 0.2.1
2022-05-05 0.2.0
2022-03-18 0.1.2
2022-03-06 0.1.1
2022-02-08 0.1.0
2022-01-21 0.0.1

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Package WINS updated to version 1.5.1 with previous version 1.5 dated 2025-05-05

Title: The R WINS Package
Description: Calculate the win statistics (win ratio, net benefit and win odds) for prioritized multiple endpoints, plot the win statistics and win proportions over study time if at least one time-to-event endpoint is analyzed, and simulate datasets with dependent endpoints. The package can handle any type of outcomes (continuous, ordinal, binary, time-to-event) and allow users to perform stratified analysis, inverse probability of censoring weighting (IPCW) and inverse probability of treatment weighting (IPTW) analysis.
Author: Ying Cui [aut, cre], Bo Huang [aut]
Maintainer: Ying Cui <cuiyingbeicheng@gmail.com>

Diff between WINS versions 1.5 dated 2025-05-05 and 1.5.1 dated 2025-07-02

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Package SCE updated to version 1.1.0 with previous version 1.0.0 dated 2025-06-23

Title: Stepwise Clustered Ensemble
Description: Implementation of Stepwise Clustered Ensemble (SCE) and Stepwise Cluster Analysis (SCA) for multivariate data analysis. The package provides comprehensive tools for feature selection, model training, prediction, and evaluation in hydrological and environmental modeling applications. Key functionalities include recursive feature elimination (RFE), Wilks feature importance analysis, model validation through out-of-bag (OOB) validation, and ensemble prediction capabilities. The package supports both single and multivariate response variables, making it suitable for complex environmental modeling scenarios. For more details see Li et al. (2021) <doi:10.5194/hess-25-4947-2021>.
Author: Kailong Li [aut, cre]
Maintainer: Kailong Li <lkl98509509@gmail.com>

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Package invgamma updated to version 1.2 with previous version 1.1 dated 2017-05-07

Title: The Inverse Gamma Distribution
Description: Light weight implementation of the standard distribution functions for the inverse gamma distribution, wrapping those for the gamma distribution in the stats package.
Author: David Kahle [aut, cre, cph], James Stamey [aut, cph]
Maintainer: David Kahle <david.kahle@gmail.com>

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Package ggbreak updated to version 0.1.5 with previous version 0.1.4 dated 2025-02-04

Title: Set Axis Break for 'ggplot2'
Description: An implementation of scale functions for setting axis breaks of a 'gg' plot (S Xu (2021) <doi:10.3389/fgene.2021.774846>).
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [aut]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package aplot updated to version 0.2.8 with previous version 0.2.7 dated 2025-06-21

Title: Decorate a 'ggplot' with Associated Information
Description: For many times, we are not just aligning plots as what 'cowplot' and 'patchwork' did. Users would like to align associated information that requires axes to be exactly matched in subplots, e.g. hierarchical clustering with a heatmap. Inspired by the 'Method 2' in 'ggtree' (G Yu (2018) <doi:10.1093/molbev/msy194>), 'aplot' provides utilities to aligns associated subplots to a main plot at different sides (left, right, top and bottom) with axes exactly matched.
Author: Guangchuang Yu [aut, cre] , Shuangbin Xu [ctb] , Thomas Hackl [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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