Mon, 07 Apr 2025

Package rafalib updated to version 1.0.4 with previous version 1.0.3 dated 2025-03-25

Title: Convenience Functions for Routine Data Exploration
Description: A series of shortcuts for routine tasks originally developed by Rafael A. Irizarry to facilitate data exploration.
Author: Rafael A. Irizarry [aut, cre], Michael I. Love [aut]
Maintainer: Rafael A. Irizarry <rafael_irizarry@dfci.harvard.edu>

Diff between rafalib versions 1.0.3 dated 2025-03-25 and 1.0.4 dated 2025-04-07

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Package carbondate updated to version 1.1.0 with previous version 1.0.1 dated 2024-01-31

Title: Calibration and Summarisation of Radiocarbon Dates
Description: Performs Bayesian non-parametric calibration of multiple related radiocarbon determinations, and summarises the calendar age information to plot their joint calendar age density (see Heaton (2022) <doi:10.1111/rssc.12599>). Also models the occurrence of radiocarbon samples as a variable-rate (inhomogeneous) Poisson process, plotting the posterior estimate for the occurrence rate of the samples over calendar time, and providing information about potential change points.
Author: Timothy J Heaton [aut, cre, cph] , Sara Al-assam [aut, cph]
Maintainer: Timothy J Heaton <T.Heaton@leeds.ac.uk>

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Package bartcs updated to version 1.3.0 with previous version 1.2.2 dated 2024-05-01

Title: Bayesian Additive Regression Trees for Confounder Selection
Description: Fit Bayesian Regression Additive Trees (BART) models to select true confounders from a large set of potential confounders and to estimate average treatment effect. For more information, see Kim et al. (2023) <doi:10.1111/biom.13833>.
Author: Yeonghoon Yoo [aut, cre]
Maintainer: Yeonghoon Yoo <yooyh.stat@gmail.com>

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Package GeneNet updated to version 1.2.17 with previous version 1.2.16 dated 2021-11-14

Title: Modeling and Inferring Gene Networks
Description: Analyzes gene expression (time series) data with focus on the inference of gene networks. In particular, GeneNet implements the methods of Schaefer and Strimmer (2005a,b,c) and Opgen-Rhein and Strimmer (2006, 2007) for learning large-scale gene association networks (including assignment of putative directions).
Author: Juliane Schaefer [aut], Rainer Opgen-Rhein [aut], Korbinian Strimmer [aut, cre]
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

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Package entropy updated to version 1.3.2 with previous version 1.3.1 dated 2021-10-02

Title: Estimation of Entropy, Mutual Information and Related Quantities
Description: Implements various estimators of entropy for discrete random variables, including the shrinkage estimator by Hausser and Strimmer (2009), the maximum likelihood and the Millow-Madow estimator, various Bayesian estimators, and the Chao-Shen estimator. It also offers an R interface to the NSB estimator. Furthermore, the package provides functions for estimating the Kullback-Leibler divergence, the chi-squared divergence, mutual information, and the chi-squared divergence of independence. It also computes the G statistic and the chi-squared statistic and corresponding p-values. Furthermore, there are functions for discretizing continuous random variables.
Author: Jean Hausser [aut], Korbinian Strimmer [aut, cre]
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

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Package Thresher updated to version 1.1.5 with previous version 1.1.4 dated 2024-04-28

Title: Threshing and Reaping for Principal Components
Description: Defines the classes used to identify outliers (threshing) and compute the number of significant principal components and number of clusters (reaping) in a joint application of PCA and hierarchical clustering. See Wang et al., 2018, <doi:10.1186/s12859-017-1998-9>.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package rapport updated to version 1.2 with previous version 1.1 dated 2021-04-11

Title: A Report Templating System
Description: Facilitating the creation of reproducible statistical report templates. Once created, rapport templates can be exported to various external formats (HTML, LaTeX, PDF, ODT etc.) with pandoc as the converter backend.
Author: Aleksandar Blagotic [aut], Gergely Daroczi [aut, cre]
Maintainer: Gergely Daroczi <daroczig@rapporter.net>

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Package PCDimension updated to version 1.1.14 with previous version 1.1.13 dated 2022-06-30

Title: Finding the Number of Significant Principal Components
Description: Implements methods to automate the Auer-Gervini graphical Bayesian approach for determining the number of significant principal components. Automation uses clustering, change points, or simple statistical models to distinguish "long" from "short" steps in a graph showing the posterior number of components as a function of a prior parameter. See <doi:10.1101/237883>.
Author: Min Wang [aut], Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package MDDC updated to version 1.1.0 with previous version 1.0.0 dated 2024-10-04

Title: Modified Detecting Deviating Cells Algorithm in Pharmacovigilance
Description: Methods for detecting signals related to (adverse event, medical product e.g. drugs, vaccines) pairs, a data generation function for simulating pharmacovigilance datasets, and various utility functions. For more details please see Liu A., Mukhopadhyay R., and Markatou M. <doi:10.48550/arXiv.2410.01168>.
Author: Anran Liu [aut, cre] , Raktim Mukhopadhyay [aut] , Marianthi Markatou [aut]
Maintainer: Anran Liu <anranliu@buffalo.edu>

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Package naptime updated to version 1.3.1 with previous version 1.3.0 dated 2017-02-23

Title: A Flexible and Robust Sys.sleep() Replacement
Description: Provides a near drop-in replacement for base::Sys.sleep() that allows more types of input to produce delays in the execution of code and can silence/prevent typical sources of error.
Author: Russell S. Pierce [aut, cre], Timothy Gann [aut]
Maintainer: Russell S. Pierce <russell.s.pierce@gmail.com>

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Package SONO updated to version 1.2 with previous version 1.1 dated 2025-03-22

Title: Scores of Nominal Outlyingness (SONO)
Description: Computes scores of outlyingness for data sets consisting of nominal variables and includes various evaluation metrics for assessing performance of outlier identification algorithms producing scores of outlyingness. The scores of nominal outlyingness are computed based on the framework of Costa and Papatsouma (2025) <doi:10.48550/arXiv.2408.07463>.
Author: Efthymios Costa [aut, cre]
Maintainer: Efthymios Costa <efthymios.costa17@imperial.ac.uk>

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Package GenAlgo updated to version 2.2.1 with previous version 2.2.0 dated 2020-10-15

Title: Classes and Methods to Use Genetic Algorithms for Feature Selection
Description: Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package cgmanalysis updated to version 3.1.0 with previous version 3.0.2 dated 2025-02-03

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2', 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload. cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <timothy.vigers@cuanschutz.edu>

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Package Modeler updated to version 3.4.8 with previous version 3.4.7 dated 2025-01-08

Title: Classes and Methods for Training and Using Binary Prediction Models
Description: Defines classes and methods to learn models and use them to predict binary outcomes. These are generic tools, but we also include specific examples for many common classifiers.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package ggmap updated to version 4.0.1 with previous version 4.0.0 dated 2023-11-19

Title: Spatial Visualization with ggplot2
Description: A collection of functions to visualize spatial data and models on top of static maps from various online sources (e.g Google Maps and Stamen Maps). It includes tools common to those tasks, including functions for geolocation and routing.
Author: David Kahle [aut, cre] , Hadley Wickham [aut] , Scott Jackson [aut], Mikko Korpela [ctb]
Maintainer: David Kahle <david@kahle.io>

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Package dynaSpec updated to version 1.0.3 with previous version 1.0.2 dated 2024-09-29

Title: Dynamic Spectrogram Visualizations
Description: A set of tools to generate dynamic spectrogram visualizations in video format.
Author: Marcelo Araya-Salas [aut, cre]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package CrossValidate updated to version 2.3.5 with previous version 2.3.4 dated 2019-05-06

Title: Classes and Methods for Cross Validation of "Class Prediction" Algorithms
Description: Defines classes and methods to cross-validate various binary classification algorithms used for "class prediction" problems.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package BimodalIndex updated to version 1.1.11 with previous version 1.1.9 dated 2019-05-06

Title: The Bimodality Index
Description: Defines the functions used to compute the bimodal index as defined by Wang et al. (2009) <https://pmc.ncbi.nlm.nih.gov/articles/PMC2730180/>, <doi:10.4137/CIN.S2846>.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package tidyterra updated to version 0.7.1 with previous version 0.7.0 dated 2025-02-03

Title: 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Description: Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of the 'terra' package. It includes also new 'geom_' functions that provide a convenient way of visualizing 'terra' objects with 'ggplot2'.
Author: Diego Hernangomez [aut, cre, cph] , Dewey Dunnington [ctb] , ggplot2 authors [cph] , Andrea Manica [ctb]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package dedupewider updated to version 0.1.1 with previous version 0.1.0 dated 2021-10-28

Title: Deduplication Across Multiple Columns
Description: Duplicated data can exist in different rows and columns and user may need to treat observations (rows) connected by duplicated data as one observation, e.g. companies can belong to one family (and thus: be one company) by sharing some telephone numbers. This package allows to find connected rows based on data on chosen columns and collapse it into one row.
Author: Grzegorz Smolinski [aut, cre]
Maintainer: Grzegorz Smolinski <g.smolinski1@gmail.com>

Diff between dedupewider versions 0.1.0 dated 2021-10-28 and 0.1.1 dated 2025-04-07

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New package visor with initial version 0.1.0
Package: visor
Title: Geospatial Tools for Visibility Analysis
Version: 0.1.0
Description: Provides tools for visibility analysis in geospatial data. It offers functionality to perform isovist calculations, using arbitrary geometries as both viewpoints and occluders.
License: Apache License (>= 2)
URL: https://cityriverspaces.github.io/visor/, https://github.com/CityRiverSpaces/visor
BugReports: https://github.com/CityRiverSpaces/visor/issues
Imports: sf, sfheaders
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-03 20:10:49 UTC; claudiuforgaci
Author: Claudiu Forgaci [aut, cre, cph] , Francesco Nattino [aut] , Netherlands eScience Center [fnd]
Maintainer: Claudiu Forgaci <c.forgaci@tudelft.nl>
Repository: CRAN
Date/Publication: 2025-04-07 16:10:01 UTC

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New package StatTools with initial version 0.1.1
Package: StatTools
Title: All-in-One Chi Distribution CI
Version: 0.1.1
Maintainer: David Reese <reesedavid132@gmail.com>
Description: Computes confidence intervals for variance using the Chi-Square distribution, without requiring raw data. Wikipedia (2025) <https://en.wikipedia.org/wiki/Chi-squared_distribution>. 'All-in-One Chi Distribution CI' provides functions to calculate confidence intervals for the population variance based on a chi-squared distribution, utilizing a sample variance and sample size. It offers only a simple all-in-one method for quick calculations to find the CI for Chi Distribution.
License: MIT + file LICENSE
Imports: stats
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-03 20:28:16 UTC; David
Author: David Reese [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-07 16:20:13 UTC

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New package sdtm.terminology with initial version 2025-3-25
Package: sdtm.terminology
Title: CDISC SDTM Controlled Terminology
Version: 2025-3-25
Description: Clinical Data Interchange Standards Consortium (CDISC) Standard Data Tabulation Model (SDTM) controlled terminology, 2025-03-25. Source: <https://evs.nci.nih.gov/ftp1/CDISC/SDTM/>.
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, tibble
URL: https://github.com/patterninstitute/sdtm.terminology, https://www.pattern.institute/sdtm.terminology/
BugReports: https://github.com/patterninstitute/sdtm.terminology/issues
NeedsCompilation: no
Packaged: 2025-04-04 13:21:25 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>
Repository: CRAN
Date/Publication: 2025-04-07 16:30:01 UTC

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New package pplot with initial version 0.9
Package: pplot
Title: Chronological and Ordered p-Plots for Empirical Data
Version: 0.9
Date: 2025-04-04
Author: Roland Pfister [aut, cre], Christian Frings [aut]
Maintainer: Roland Pfister <mail@roland-pfister.net>
Suggests: MBESS
Description: Generates chronological and ordered p-plots for data vectors or vectors of p-values. The p-plot visualizes the evolution of the p-value of a significance test across the sampled data. It allows for assessing the consistency of the observed effects, for detecting the presence of potential moderator variables, and for estimating the influence of outlier values on the observed results. For non-significant findings, it can diagnose patterns indicative of underpowered study designs. The p-plot can thus either back the binary accept-vs-reject decision of common null-hypothesis significance tests, or it can qualify this decision and stimulate additional empirical work to arrive at more robust and replicable statistical inferences.
License: GPL
NeedsCompilation: no
Packaged: 2025-04-04 11:30:12 UTC; pfisterr
Repository: CRAN
Date/Publication: 2025-04-07 16:30:06 UTC

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Package pcatsAPIclientR updated to version 1.3.0 with previous version 1.2.0 dated 2025-03-11

Title: 'PCATS' API Client
Description: Provides an R interface to the 'PCATS' API <https://pcats.research.cchmc.org/api/__docs__/>, allowing R users to submit tasks and retrieve results.
Author: Bin Huang [aut] , Chen Chen [aut], Michal Kouril [aut, cre]
Maintainer: Michal Kouril <michal.kouril@cchmc.org>

Diff between pcatsAPIclientR versions 1.2.0 dated 2025-03-11 and 1.3.0 dated 2025-04-07

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New package pangoling with initial version 1.0.3
Package: pangoling
Title: Access to Large Language Model Predictions
Version: 1.0.3
Description: Provides access to word predictability estimates using large language models (LLMs) based on 'transformer' architectures via integration with the 'Hugging Face' ecosystem <https://huggingface.co/>. The package interfaces with pre-trained neural networks and supports both causal/auto-regressive LLMs (e.g., 'GPT-2') and masked/bidirectional LLMs (e.g., 'BERT') to compute the probability of words, phrases, or tokens given their linguistic context. For details on GPT-2 and causal models, see Radford et al. (2019) <https://storage.prod.researchhub.com/uploads/papers/2020/06/01/language-models.pdf>, for details on BERT and masked models, see Devlin et al. (2019) <doi:10.48550/arXiv.1810.04805>. By enabling a straightforward estimation of word predictability, the package facilitates research in psycholinguistics, computational linguistics, and natural language processing (NLP).
License: MIT + file LICENSE
URL: https://docs.ropensci.org/pangoling/, https://github.com/ropensci/pangoling
BugReports: https://github.com/ropensci/pangoling/issues
Depends: R (>= 4.1.0)
Imports: cachem, data.table, memoise, reticulate, rstudioapi, stats, tidyselect, tidytable (>= 0.7.2), utils
Suggests: brms, knitr, parallel, rmarkdown, spelling, testthat (>= 3.0.0), tictoc, covr
Encoding: UTF-8
Language: en-US
LazyData: true
StagedInstall: yes
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-04 17:48:15 UTC; bruno
Author: Bruno Nicenboim [aut, cre] , Chris Emmerly [ctb], Giovanni Cassani [ctb], Lisa Levinson [rev], Utku Turk [rev]
Maintainer: Bruno Nicenboim <b.nicenboim@tilburguniversity.edu>
Repository: CRAN
Date/Publication: 2025-04-07 17:00:02 UTC

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New package HTGM2D with initial version 1.0
Package: HTGM2D
Version: 1.0
Date: 2025-04-03
Title: Two Dimensional High Throughput 'GoMiner'
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Author: Barry Zeeberg [aut, cre]
Depends: R (>= 4.2.0)
Imports: minimalistGODB, GoMiner, HTGM, grDevices, stats, gplots, jaccard
LazyData: true
LazyDataCompression: xz
Description: The Gene Ontology (GO) Consortium <https://geneontology.org/> organizes genes into hierarchical categories based on biological process (BP), molecular function (MF) and cellular component (CC, i.e., subcellular localization). Tools such as 'GoMiner' (see Zeeberg, B.R., Feng, W., Wang, G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) can leverage GO to perform ontological analysis of microarray and proteomics studies, typically generating a list of significant functional categories. Microarray studies are usually analyzed with BP, whereas proteomics researchers often prefer CC. To capture the benefit of both of those ontologies, I developed a two-dimensional version of 'High-Throughput GoMiner' ('HTGM2D'). I generate a 2D heat map whose axes are any two of BP, MF, or CC, and the value within a picture element of the heat map reflects the Jaccard metric p-value for the number of genes in common for the corresponding pair.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-04-03 19:55:55 UTC; barryzeeberg
Repository: CRAN
Date/Publication: 2025-04-07 16:10:08 UTC

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New package groupedHyperframe.random with initial version 0.1.0
Package: groupedHyperframe.random
Title: Simulated Grouped Hyper Data Frame
Version: 0.1.0
Date: 2025-04-03
Description: An intuitive interface to simulate (1) superimposed (marked) point patterns with vectorized parameterization of random point pattern and distribution of marks; and (2) grouped hyper data frame based on population parameters and subject-specific random effects.
Encoding: UTF-8
License: GPL-2
Depends: R (>= 4.4), spatstat.random, groupedHyperframe
Language: en-US
Imports: cli, spatstat.geom, MASS
Suggests: knitr, rmarkdown, spatstat.data
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-03 20:25:10 UTC; tingtingzhan
Author: Tingting Zhan [aut, cre] , Inna Chervoneva [aut]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-07 16:20:05 UTC

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New package DasGuptR with initial version 2.1.0
Package: DasGuptR
Title: Das Gupta Standardisation and Decomposition
Version: 2.1.0
Maintainer: Josiah King <josiah.king@ed.ac.uk>
Description: Implementation of Das Gupta's standardisation and decomposition of population rates, as set out "Standardization and decomposition of rates: A user’s manual", Das Gupta (1993) <https://www2.census.gov/library/publications/1993/demographics/p23-186.pdf>. The goal of these methods is to calculate adjusted rates based on compositional 'factors' and quantify the contribution of each factor to the difference in crude rates between populations. The package offers functionality to handle various scenarios for any number of factors and populations, where said factors can be comprised of vectors across sub-populations (including cross-classified population breakdowns), and with the option to specify user-defined rate functions.
License: GPL (>= 3)
URL: https://github.com/josiahpjking/DasGuptR
BugReports: https://github.com/josiahpjking/DasGuptR/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: true
Suggests: R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2025-04-03 18:52:45 UTC; jking34
Author: Josiah King [aut, cre], Ben Matthews [aut]
Repository: CRAN
Date/Publication: 2025-04-07 16:10:12 UTC

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New package clockSim with initial version 0.1.1
Package: clockSim
Title: Streamlined Simulation of Circadian Gene Networks
Version: 0.1.1
Description: A user-friendly workflow for simulating circadian clock gene networks. Despite decades of advances in modeling circadian clock dynamics, the lack of accessible tools for reproducible simulation workflows hinders the integration of computational modeling with experimental studies. 'clockSim' addresses this gap by providing models and helper functions with step-by-step vignettes. This package opens up system-level exploration of the circadian clock to wet-lab experimentalists, and future development will include additional clock architectures and other gene circuit models. Currently implemented models are based on Leloup and Goldbeter (1998) <doi:10.1177/074873098128999934>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: bench, dde, dplyr, ggplot2, lomb, matrixStats, odin, rlang, tidyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/yeyuan98/clockSim
BugReports: https://github.com/yeyuan98/clockSim/issues
NeedsCompilation: yes
Packaged: 2025-04-03 21:44:27 UTC; yuany
Author: Ye Yuan [aut, cre, cph]
Maintainer: Ye Yuan <yeyu@umich.edu>
Repository: CRAN
Date/Publication: 2025-04-07 16:20:09 UTC

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New package activityCounts with initial version 0.2.1
Package: activityCounts
Title: Generate ActiLife Counts
Version: 0.2.1
Description: ActiLife software generates activity counts from data collected by Actigraph accelerometers <https://s3.amazonaws.com/actigraphcorp.com/wp-content/uploads/2017/11/26205758/ActiGraph-White-Paper_What-is-a-Count_.pdf>. Actigraph is one of the most common research-grade accelerometers. There is considerable research validating and developing algorithms for human activity using ActiLife counts. Unfortunately, ActiLife counts are proprietary and difficult to implement if researchers use different accelerometer brands. The code creates ActiLife counts from raw acceleration data for different accelerometer brands and it is developed based on the study done by Brond and others (2017) <doi:10.1249/MSS.0000000000001344>.
URL: https://github.com/walkabillylab/activityCounts, https://github.com/jbrond/ActigraphCounts
BugReports: https://github.com/walkabillylab/activityCounts/issues
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: seewave, signal, tibble, lubridate, magrittr
NeedsCompilation: no
Packaged: 2025-04-03 18:47:01 UTC; dlf545
Author: Ruben Brondeel [aut], Javad Rahimipour Anaraki [aut], Daniel Fuller [aut, cph, cre], SeyedJavad KhataeiPour [aut], Beap Lab [cph]
Maintainer: Daniel Fuller <daniel.fuller@usask.ca>
Repository: CRAN
Date/Publication: 2025-04-07 16:10:05 UTC

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New package tvcure with initial version 0.6.6
Package: tvcure
Title: Additive Cure Survival Model with Time-Varying Covariates
Version: 0.6.6
Maintainer: Philippe Lambert <p.lambert@uliege.be>
BugReports: https://github.com/plambertULiege/tvcure/issues
Description: Fit of a double additive cure survival model with time-varying covariates. The additive terms in the long- and short-term survival submodels, modelling the cure probability and the event timing for susceptible units, are estimated using Laplace P-splines. For more details, see Lambert and Kreyenfeld (2025) <doi:10.1093/jrsssa/qnaf035>.
License: GPL-3
URL: <https://github.com/plambertULiege/tvcure>
Encoding: UTF-8
Imports: cubicBsplines, Rfast, MASS, Matrix, mgcv
NeedsCompilation: no
Packaged: 2025-04-03 18:11:51 UTC; plambert
Author: Philippe Lambert [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-07 16:00:01 UTC

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New package QR.break with initial version 1.0.1
Package: QR.break
Title: Structural Breaks in Quantile Regression
Version: 1.0.1
Maintainer: Zhongjun Qu <qu@bu.edu>
Description: Methods for detecting structural breaks, determining the number of breaks, and estimating break locations in linear quantile regression, using one or multiple quantiles, based on Qu (2008) and Oka and Qu (2011). Applicable to both time series and repeated cross-sectional data. The main function is rq.break(). References for detailed theoretical and empirical explanations: (1) Qu, Z. (2008). Testing for Structural Change in Regression Quantiles. Journal of Econometrics, 146(1), 170-184 <doi:10.1016/j.jeconom.2008.08.006> (2) Oka, T., and Qu, Z. (2011). Estimating Structural Changes in Regression Quantiles. Journal of Econometrics, 162(2), 248-267 <doi:10.1016/j.jeconom.2011.01.005>.
License: GPL (>= 3)
Depends: R (>= 4.3.0)
Encoding: UTF-8
NeedsCompilation: no
Imports: quantreg
Suggests: SparseM
LazyData: true
Packaged: 2025-03-26 18:57:05 UTC; qu
Author: Zhongjun Qu [aut, cre], Tatsushi Oka [aut], Samuel Messer [ctb]
Repository: CRAN
Date/Publication: 2025-04-07 15:10:02 UTC

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Package moveHMM updated to version 1.10 with previous version 1.9 dated 2023-05-08

Title: Animal Movement Modelling using Hidden Markov Models
Description: Provides tools for animal movement modelling using hidden Markov models. These include processing of tracking data, fitting hidden Markov models to movement data, visualization of data and fitted model, decoding of the state process, etc. <doi:10.1111/2041-210X.12578>.
Author: Theo Michelot [aut, cre], Roland Langrock [aut, ctb], Toby Patterson [aut, ctb], Brett McClintock [ctb], Eric Rexstad [ctb]
Maintainer: Theo Michelot <theo.michelot@dal.ca>

Diff between moveHMM versions 1.9 dated 2023-05-08 and 1.10 dated 2025-04-07

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Package caviarpd updated to version 0.3.16 with previous version 0.3.14 dated 2025-03-30

Title: Cluster Analysis via Random Partition Distributions
Description: Cluster analysis is performed using pairwise distance information and a random partition distribution. The method is implemented for two random partition distributions. It draws samples and then obtains and plots clustering estimates. An implementation of a selection algorithm is provided for the mass parameter of the partition distribution. Since pairwise distances are the principal input to this procedure, it is most comparable to the hierarchical and k-medoids clustering methods. The method is Dahl, Andros, Carter (2022+) <doi:10.1002/sam.11602>.
Author: David B. Dahl [aut, cre] , R. Jacob Andros [aut] , J. Brandon Carter [aut] , Alex Crichton [ctb] , Brendan Zabarauskas [ctb] , David B. Dahl [ctb] , David Tolnay [ctb] , Jim Turner [ctb] , Jorge Aparicio [ctb] , Josh Stone [ctb] , Mikhail Vorotilov [ [...truncated...]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between caviarpd versions 0.3.14 dated 2025-03-30 and 0.3.16 dated 2025-04-07

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New package CardioCurveR with initial version 1.0.0
Package: CardioCurveR
Title: Nonlinear Modeling of R-R Interval Dynamics
Version: 1.0.0
Description: Automated and robust framework for analyzing R-R interval (RRi) signals using advanced nonlinear modeling and preprocessing techniques. The package implements a dual-logistic model to capture the rapid drop and subsequent recovery of RRi during exercise, as described by Castillo-Aguilar et al. (2025) <doi:10.1038/s41598-025-93654-6>. In addition, 'CardioCurveR' includes tools for filtering RRi signals using zero-phase Butterworth low-pass filtering and for cleaning ectopic beats via adaptive outlier replacement using local regression and robust statistics. These integrated methods preserve the dynamic features of RRi signals and facilitate accurate cardiovascular monitoring and clinical research.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Imports: signal (>= 1.8.1), ggplot2 (>= 3.5.1), gridExtra (>= 2.3), data.table (>= 1.16.4)
URL: https://github.com/matcasti/CardioCurveR, https://matcasti.github.io/CardioCurveR/
BugReports: https://github.com/matcasti/CardioCurveR/issues
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-03 16:47:24 UTC; matias
Author: Matias Castillo-Aguilar [aut, cre, cph]
Maintainer: Matias Castillo-Aguilar <m99castillo@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-07 16:00:09 UTC

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Package TimeDepFrail updated to version 0.1.0 with previous version 0.0.1 dated 2025-01-17

Title: Time Dependent Shared Frailty Cox Model
Description: Fits time-dependent shared frailty Cox model (specifically the adapted Paik et al.'s Model) based on the paper "Centre-Effect on Survival After Bone Marrow Transplantation: Application of Time-Dependent Frailty Models", by C.M. Wintrebert, H. Putter, A.H. Zwinderman and J.C. van Houwelingen (2004) <doi:10.1002/bimj.200310051>.
Author: Alessandra Ragni [aut, cre] , Giulia Romani [aut], Chiara Masci [aut]
Maintainer: Alessandra Ragni <alessandra.ragni@polimi.it>

Diff between TimeDepFrail versions 0.0.1 dated 2025-01-17 and 0.1.0 dated 2025-04-07

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Package Runuran updated to version 0.41 with previous version 0.40 dated 2024-10-04

Title: R Interface to the 'UNU.RAN' Random Variate Generators
Description: Interface to the 'UNU.RAN' library for Universal Non-Uniform RANdom variate generators. Thus it allows to build non-uniform random number generators from quite arbitrary distributions. In particular, it provides an algorithm for fast numerical inversion for distribution with given density function. In addition, the package contains densities, distribution functions and quantiles from a couple of distributions.
Author: Josef Leydold [aut, cre] , Wolfgang H"ormann [aut]
Maintainer: Josef Leydold <josef.leydold@wu.ac.at>

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Package ReacTran updated to version 1.4.3.2 with previous version 1.4.3.1 dated 2017-08-15

Title: Reactive Transport Modelling in 1d, 2d and 3d
Description: Routines for developing models that describe reaction and advective-diffusive transport in one, two or three dimensions. Includes transport routines in porous media, in estuaries, and in bodies with variable shape.
Author: Karline Soetaert [aut, cre] , Filip Meysman [aut]
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

Diff between ReacTran versions 1.4.3.1 dated 2017-08-15 and 1.4.3.2 dated 2025-04-07

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Package plasma updated to version 1.1.4 with previous version 1.1.3 dated 2024-04-28

Title: Partial LeAst Squares for Multiomic Analysis
Description: Contains tools for supervised analyses of incomplete, overlapping multiomics datasets. Applies partial least squares in multiple steps to find models that predict survival outcomes. See Yamaguchi et al. (2023) <doi:10.1101/2023.03.10.532096>.
Author: Kevin R. Coombes [cre, aut], Kyoko Yamaguchi [aut], Salma Abdelbaky [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package OncoBayes2 updated to version 0.9-2 with previous version 0.9-1 dated 2025-03-17

Title: Bayesian Logistic Regression for Oncology Dose-Escalation Trials
Description: Bayesian logistic regression model with optional EXchangeability-NonEXchangeability parameter modelling for flexible borrowing from historical or concurrent data-sources. The safety model can guide dose-escalation decisions for adaptive oncology Phase I dose-escalation trials which involve an arbitrary number of drugs. Please refer to Neuenschwander et al. (2008) <doi:10.1002/sim.3230> and Neuenschwander et al. (2016) <doi:10.1080/19466315.2016.1174149> for details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Lukas A. Widmer [aut], Andrew Bean [aut], Trustees of Columbia University [cph]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

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Package mlpack updated to version 4.6.0 with previous version 4.5.1 dated 2024-12-05

Title: 'Rcpp' Integration for the 'mlpack' Library
Description: A fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. See also Curtin et al. (2023) <doi:10.21105/joss.05026>.
Author: Yashwant Singh Parihar [aut, ctb, cph], Ryan Curtin [aut, ctb, cph, cre], Dirk Eddelbuettel [aut, ctb, cph], James Balamuta [aut, ctb, cph], Bill March [ctb, cph], Dongryeol Lee [ctb, cph], Nishant Mehta [ctb, cph], Parikshit Ram [ctb, cph], James Cl [...truncated...]
Maintainer: Ryan Curtin <ryan@ratml.org>

Diff between mlpack versions 4.5.1 dated 2024-12-05 and 4.6.0 dated 2025-04-07

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 mlpack-4.6.0/mlpack/DESCRIPTION                                                                                  |   19 
 mlpack-4.6.0/mlpack/LICENSE                                                                                      |    2 
 mlpack-4.6.0/mlpack/MD5                                                                                          |  219 +--
 mlpack-4.6.0/mlpack/NAMESPACE                                                                                    |    1 
 mlpack-4.6.0/mlpack/R/RcppExports.R                                                                              |    4 
 mlpack-4.6.0/mlpack/inst/include/mlpack/base.hpp                                                                 |   11 
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 mlpack-4.6.0/mlpack/inst/include/mlpack/core/util/io_impl.hpp                                                    |   14 
 mlpack-4.6.0/mlpack/inst/include/mlpack/core/util/log.hpp                                                        |    3 
 mlpack-4.6.0/mlpack/inst/include/mlpack/core/util/timers.hpp                                                     |    4 
 mlpack-4.6.0/mlpack/inst/include/mlpack/core/util/timers_impl.hpp                                                |   12 
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 mlpack-4.6.0/mlpack/inst/include/mlpack/core/util/version.hpp                                                    |    4 
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 mlpack-4.6.0/mlpack/man/mlpack.Rd                                                                                |    2 
 mlpack-4.6.0/mlpack/src/RcppExports.cpp                                                                          |   12 
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Package excessmort updated to version 0.8.1 with previous version 0.8.0 dated 2024-11-14

Title: Excess Mortality
Description: Implementation of method for estimating excess mortality and other health related outcomes from weekly or daily count data described in Acosta and Irizarry (2021) "A Flexible Statistical Framework for Estimating Excess Mortality".
Author: Rafael A. Irizarry [aut, cre], Rolando Acosta [aut], Monica Robles-Fontan [aut], Ferenci Tamas [ctb]
Maintainer: Rafael A. Irizarry <rafael_irizarry@dfci.harvard.edu>

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Package TreeTools updated to version 1.13.1 with previous version 1.13.0 dated 2025-01-10

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; tree rearrangement; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of split support; plotting the position of rogue taxa (Klopfstein & Spasojevic 2019) <doi:10.1371/journal.pone.0212942>; calculation of ancestor-descendant relationships, of 'stemwardness' (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>, and of tree balance (Mir et al. 2013, Lemant et al. 2022) <doi:10.1016/j.mbs.2012.10.005>, <doi:10.1093/sysbio/syac027>; artificial extinction (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <https://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] , Emmanuel Paradis [cph] , Robert Noble [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package dexter updated to version 1.6.0 with previous version 1.5.0 dated 2024-07-05

Title: Data Management and Analysis of Tests
Description: A system for the management, assessment, and psychometric analysis of data from educational and psychological tests.
Author: Gunter Maris [aut], Timo Bechger [aut], Jesse Koops [aut, cre], Ivailo Partchev [aut]
Maintainer: Jesse Koops <jesse.koops@cito.nl>

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Package ctxR updated to version 1.1.2 with previous version 1.1.1 dated 2025-04-01

Title: Utilities for Interacting with the 'CTX' APIs
Description: Access chemical, hazard, bioactivity, and exposure data from the Computational Toxicology and Exposure ('CTX') APIs <https://www.epa.gov/comptox-tools/computational-toxicology-and-exposure-apis>. 'ctxR' was developed to streamline the process of accessing the information available through the 'CTX' APIs without requiring prior knowledge of how to use APIs. Most data is also available on the CompTox Chemical Dashboard ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at the EPA Computational Toxicology and Exposure Online Resources <https://www.epa.gov/comptox-tools>.
Author: Paul Kruse [aut] , Caroline Ring [aut] , Madison Feshuk [cre] , Carter Thunes [ctb], Jason Brown [ctb]
Maintainer: Madison Feshuk <feshuk.madison@epa.gov>

Diff between ctxR versions 1.1.1 dated 2025-04-01 and 1.1.2 dated 2025-04-07

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New package brulee with initial version 0.5.0
Package: brulee
Title: High-Level Modeling Functions with 'torch'
Version: 0.5.0
Description: Provides high-level modeling functions to define and train models using the 'torch' R package. Models include linear, logistic, and multinomial regression as well as multilayer perceptrons.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/brulee, https://brulee.tidymodels.org/
BugReports: https://github.com/tidymodels/brulee/issues
Imports: cli, coro (>= 1.0.1), dplyr, generics, ggplot2, glue, hardhat, rlang (>= 1.1.1), stats, tibble, torch (>= 0.13.0), utils
Suggests: covr, modeldata, purrr, recipes, spelling, testthat, yardstick
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-04-07 12:00:34 UTC; max
Author: Max Kuhn [aut, cre] , Daniel Falbel [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Repository: CRAN
Date/Publication: 2025-04-07 13:50:02 UTC

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Package uGMAR updated to version 3.5.2 with previous version 3.5.1 dated 2024-12-04

Title: Estimate Univariate Gaussian and Student's t Mixture Autoregressive Models
Description: Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive (GMAR), Student's t Mixture Autoregressive (StMAR), and Gaussian and Student's t Mixture Autoregressive (G-StMAR) models, quantile residual tests, graphical diagnostics, forecast and simulate from GMAR, StMAR and G-StMAR processes. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) <doi:10.1111/jtsa.12108>, Mika Meitz, Daniel Preve, Pentti Saikkonen (2023) <doi:10.1080/03610926.2021.1916531>, Savi Virolainen (2022) <doi:10.1515/snde-2020-0060>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

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Package TailRank updated to version 3.2.4 with previous version 3.2.2 dated 2022-05-03

Title: The Tail-Rank Statistic
Description: Implements the tail-rank statistic for selecting biomarkers from a microarray data set, an efficient nonparametric test focused on the distributional tails. See <https://gitlab.com/krcoombes/coombeslab/-/blob/master/doc/papers/tolstoy-new.pdf>.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between TailRank versions 3.2.2 dated 2022-05-03 and 3.2.4 dated 2025-04-07

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New package RcppPlanc with initial version 2.0.3
Package: RcppPlanc
Title: Parallel Low-Rank Approximation with Nonnegativity Constraints
Version: 2.0.3
Date: 2025-03-26
Description: 'Rcpp' bindings for 'PLANC', a highly parallel and extensible NMF/NTF (Non-negative Matrix/Tensor Factorization) library. Wraps algorithms described in Kannan et. al (2018) <doi:10.1109/TKDE.2017.2767592> and Eswar et. al (2021) <doi:10.1145/3432185>. Implements algorithms described in Welch et al. (2019) <doi:10.1016/j.cell.2019.05.006>, Gao et al. (2021) <doi:10.1038/s41587-021-00867-x>, and Kriebel & Welch (2022) <doi:10.1038/s41467-022-28431-4>.
Encoding: UTF-8
Imports: methods, Rcpp, Matrix, hdf5r.Extra
Suggests: knitr, withr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
License: GPL (>= 2)
SystemRequirements: C++17, cmake >= 3.21.0, hdf5, git, v8, patch, gnumake, hwloc, GNU make
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-04-04 18:24:29 UTC; andrew
Author: Andrew Robbins [aut, cre] , Yichen Wang [aut], Joshua Welch [cph] , Ramakrishnan Kannan [cph] , UT-Batelle [cph]
Maintainer: Andrew Robbins <robbiand@umich.edu>
Repository: CRAN
Date/Publication: 2025-04-07 12:30:06 UTC

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Package pxmake updated to version 0.17.0 with previous version 0.16.0 dated 2025-03-04

Title: Make PX-Files in R
Description: Create PX-files from scratch or read and modify existing ones. Includes a function for every PX keyword, making metadata manipulation simple and human-readable.
Author: Johan Ejstrud [cre, aut], Lars Pedersen [aut], Statistics Greenland [cph]
Maintainer: Johan Ejstrud <johan@ejstrud.com>

Diff between pxmake versions 0.16.0 dated 2025-03-04 and 0.17.0 dated 2025-04-07

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 man/px_data.px.Rd                                                               |    6 
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Package hemispheR updated to version 1.1.6 with previous version 1.1.4 dated 2024-04-05

Title: Processing Hemispherical Canopy Images
Description: Import and classify canopy fish-eye images, estimate angular gap fraction and derive canopy attributes like leaf area index and openness. Additional information is provided in the study by Chianucci F., Macek M. (2023) <doi:10.1016/j.agrformet.2023.109470>.
Author: Francesco Chianucci [aut, cre] , Martin Macek [aut]
Maintainer: Francesco Chianucci <fchianucci@gmail.com>

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Package fhircrackr updated to version 2.3.0 with previous version 2.2.0 dated 2024-03-21

Title: Handling HL7 FHIR® Resources in R
Description: Useful tools for conveniently downloading FHIR resources in xml format and converting them to R data.frames. The package uses FHIR-search to download bundles from a FHIR server, provides functions to save and read xml-files containing such bundles and allows flattening the bundles to data.frames using XPath expressions. FHIR® is the registered trademark of HL7 and is used with the permission of HL7. Use of the FHIR trademark does not constitute endorsement of this product by HL7.
Author: Thomas Peschel [aut], Julia Palm [aut, cre] , Jens Przybilla [aut], Frank Meineke [aut]
Maintainer: Julia Palm <julia.palm@med.uni-jena.de>

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Package ClassDiscovery updated to version 3.4.8 with previous version 3.4.5 dated 2024-04-28

Title: Classes and Methods for "Class Discovery" with Microarrays or Proteomics
Description: Defines the classes used for "class discovery" problems in the OOMPA project (<http://oompa.r-forge.r-project.org/>). Class discovery primarily consists of unsupervised clustering methods with attempts to assess their statistical significance.
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package midasr updated to version 0.9 with previous version 0.8 dated 2021-02-23

Title: Mixed Data Sampling Regression
Description: Methods and tools for mixed frequency time series data analysis. Allows estimation, model selection and forecasting for MIDAS regressions.
Author: Vaidotas Zemlys-Balevicius [cre], Virmantas Kvedaras [aut], Vaidotas Zemlys-Balevicius [aut]
Maintainer: Vaidotas Zemlys-Balevicius <zemlys@gmail.com>

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Package MareyMap updated to version 1.3.10 with previous version 1.3.7 dated 2024-01-23

Title: Estimation of Meiotic Recombination Rates Using Marey Maps
Description: Local recombination rates are graphically estimated across a genome using Marey maps.
Author: Gabriel Marais [aut] , Clement Rezvoy [aut], Delphine Charif [aut], Laurent Gueguen [aut], Aurelie Siberchicot [ctb, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package ulrb updated to version 0.1.6 with previous version 0.1.5 dated 2024-06-18

Title: Unsupervised Learning Based Definition of Microbial Rare Biosphere
Description: A tool to define rare biosphere. 'ulrb' solves the problem of the definition of rarity by replacing arbitrary thresholds with an unsupervised machine learning algorithm (partitioning around medoids, or k-medoids). This algorithm works for any type of microbiome data, provided there is an abundance table. For validation of this method to different abundance tables, see Pascoal et al, 2025. This method also works for non-microbiome data.
Author: Francisco Pascoal [aut, cre] , Paula Branco [aut] , Luis Torgo [aut] , Rodrigo Costa [aut] , Catarina Magalhaes [aut]
Maintainer: Francisco Pascoal <fpascoal1996@gmail.com>

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Package nexus updated to version 0.5.0 with previous version 0.4.0 dated 2025-01-14

Title: Sourcing Archaeological Materials by Chemical Composition
Description: Exploration and analysis of compositional data in the framework of Aitchison (1986, ISBN: 978-94-010-8324-9). This package provides tools for chemical fingerprinting and source tracking of ancient materials.
Author: Nicolas Frerebeau [aut, cre] , Anne Philippe [aut] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package Mondrian updated to version 1.1.2 with previous version 1.1-1 dated 2024-01-19

Title: A Simple Graphical Representation of the Relative Occurrence and Co-Occurrence of Events
Description: The unique function of this package allows representing in a single graph the relative occurrence and co-occurrence of events measured in a sample. As examples, the package was applied to describe the occurrence and co-occurrence of different species of bacterial or viral symbionts infecting arthropods at the individual level. The graphics allows determining the prevalence of each symbiont and the patterns of multiple infections (i.e. how different symbionts share or not the same individual hosts). We named the package after the famous painter as the graphical output recalls Mondrian’s paintings.
Author: Aurelie Siberchicot [aut, cre] , Delphine Charif [aut], Gabriel Terraz [aut], Fabrice Vavre [aut]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package adegraphics updated to version 1.0-22 with previous version 1.0-21 dated 2023-10-13

Title: An S4 Lattice-Based Package for the Representation of Multivariate Data
Description: Graphical functionalities for the representation of multivariate data. It is a complete re-implementation of the functions available in the 'ade4' package.
Author: Stephane Dray [aut] , Aurelie Siberchicot [aut, cre] , Jean Thioulouse [ctb] , Alice Julien-Laferriere [ctb]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package plotthis updated to version 0.6.1 with previous version 0.6.0 dated 2025-04-04

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

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Package DQAstats updated to version 0.3.9 with previous version 0.3.8 dated 2025-03-26

Title: Core Functions for Data Quality Assessment
Description: Perform data quality assessment ('DQA') of electronic health records ('EHR'). Publication: Kapsner et al. (2021) <doi:10.1055/s-0041-1733847>.
Author: Lorenz A. Kapsner [cre, aut] , Jonathan M. Mang [aut] , Helene Koester [ctb], MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitaetsklinikum Erlangen [cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

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Package stortingscrape updated to version 0.4.1 with previous version 0.4.0 dated 2025-03-07

Title: Access Data from the Norwegian Parliament API
Description: Functions for retrieving general and specific data from the Norwegian Parliament, through the Norwegian Parliament API at <https://data.stortinget.no>.
Author: Martin Soeyland [aut, cre]
Maintainer: Martin Soeyland <martin.soyland@stv.uio.no>

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Package bayesPop updated to version 11.0-3 with previous version 11.0-2 dated 2025-02-21

Title: Probabilistic Population Projection
Description: Generating population projections for all countries of the world using several probabilistic components, such as total fertility rate and life expectancy (Raftery et al., 2012 <doi:10.1073/pnas.1211452109>).
Author: Hana Sevcikova [aut, cre], Adrian Raftery [aut], Thomas Buettner [aut]
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package skellam updated to version 0.2.4 with previous version 0.2.3 dated 2024-03-25

Title: Densities and Sampling for the Skellam Distribution
Description: Functions for the Skellam distribution, including: density (pmf), cdf, quantiles and regression.
Author: Jerry W. Lewis [aut], Patrick E. Brown [aut], Michail Tsagris [aut], Montasser Ghachem [cre]
Maintainer: Montasser Ghachem <mg@pinstimation.com>

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Package dynamite updated to version 1.5.6 with previous version 1.5.5 dated 2024-11-15

Title: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data
Description: Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2024) <doi:10.1016/j.alcr.2024.100617>. The package supports joint modeling of multiple measurements per individual, time-varying and time-invariant effects, and a wide range of discrete and continuous distributions. Estimation of these dynamic multivariate panel models is carried out via 'Stan'. For an in-depth tutorial of the package, see (Tikka and Helske, 2024) <doi:10.48550/arXiv.2302.01607>.
Author: Santtu Tikka [aut, cre] , Jouni Helske [aut] , Nicholas Clark [rev], Lucy D'Agostino McGowan [rev]
Maintainer: Santtu Tikka <santtuth@gmail.com>

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

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2022-07-21 1.0.2
2020-01-08 0.7.0
2019-12-19 0.6.9

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

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