Mon, 24 Feb 2025

Package sevenbridges2 updated to version 0.3.0 with previous version 0.2.0 dated 2024-07-02

Title: The 'Seven Bridges Platform' API Client
Description: R client and utilities for 'Seven Bridges Platform' API, from 'Cancer Genomics Cloud' to other 'Seven Bridges' supported platforms. API documentation is hosted publicly at <https://docs.sevenbridges.com/docs/the-api>.
Author: Marko Trifunovic [aut, cre], Marija Gacic [aut], Vladimir Obucina [aut], Velsera [cph, fnd]
Maintainer: Marko Trifunovic <marko.trifunovic@velsera.com>

Diff between sevenbridges2 versions 0.2.0 dated 2024-07-02 and 0.3.0 dated 2025-02-24

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More information about sevenbridges2 at CRAN
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Package networktools updated to version 1.6.0 with previous version 1.5.2 dated 2024-02-23

Title: Tools for Identifying Important Nodes in Networks
Description: Includes assorted tools for network analysis. Bridge centrality; goldbricker; MDS, PCA, & eigenmodel network plotting.
Author: Payton Jones [aut, cre]
Maintainer: Payton Jones <paytonjjones@gmail.com>

Diff between networktools versions 1.5.2 dated 2024-02-23 and 1.6.0 dated 2025-02-24

 DESCRIPTION |   10 +++++-----
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Package R.utils updated to version 2.13.0 with previous version 2.12.3 dated 2023-11-17

Title: Various Programming Utilities
Description: Utility functions useful when programming and developing R packages.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.utils versions 2.12.3 dated 2023-11-17 and 2.13.0 dated 2025-02-24

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Package OlinkAnalyze updated to version 4.2.0 with previous version 4.1.2 dated 2025-01-27

Title: Facilitate Analysis of Proteomic Data from Olink
Description: A collection of functions to facilitate analysis of proteomic data from Olink, primarily NPX data that has been exported from Olink Software. The functions also work on QUANT data from Olink by log- transforming the QUANT data. The functions are focused on reading data, facilitating data wrangling and quality control analysis, performing statistical analysis and generating figures to visualize the results of the statistical analysis. The goal of this package is to help users extract biological insights from proteomic data run on the Olink platform.
Author: Kathleen Nevola [aut, cre] , Marianne Sandin [aut] , Jamey Guess [aut] , Simon Forsberg [aut] , Christoffer Cambronero [aut] , Pascal Pucholt [aut] , Boxi Zhang [aut] , Masoumeh Sheikhi [aut] , Klev Diamanti [aut] , Amrita Kar [aut] , Lei Conze [aut] [...truncated...]
Maintainer: Kathleen Nevola <biostattools@olink.com>

Diff between OlinkAnalyze versions 4.1.2 dated 2025-01-27 and 4.2.0 dated 2025-02-24

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More information about OlinkAnalyze at CRAN
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Package ipumsr updated to version 0.8.2 with previous version 0.8.1 dated 2024-07-17

Title: An R Interface for Downloading, Reading, and Handling IPUMS Data
Description: An easy way to work with census, survey, and geographic data provided by IPUMS in R. Generate and download data through the IPUMS API and load IPUMS files into R with their associated metadata to make analysis easier. IPUMS data describing 1.4 billion individuals drawn from over 750 censuses and surveys is available free of charge from the IPUMS website <https://www.ipums.org>.
Author: Greg Freedman Ellis [aut], Derek Burk [aut, cre], Finn Roberts [aut], Joe Grover [ctb], Dan Ehrlich [ctb], Renae Rodgers [ctb], Institute for Social Research and Data Innovation [cph]
Maintainer: Derek Burk <ipums+cran@umn.edu>

Diff between ipumsr versions 0.8.1 dated 2024-07-17 and 0.8.2 dated 2025-02-24

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More information about ipumsr at CRAN
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Package arf updated to version 0.2.4 with previous version 0.2.0 dated 2024-01-24

Title: Adversarial Random Forests
Description: Adversarial random forests (ARFs) recursively partition data into fully factorized leaves, where features are jointly independent. The procedure is iterative, with alternating rounds of generation and discrimination. Data becomes increasingly realistic at each round, until original and synthetic samples can no longer be reliably distinguished. This is useful for several unsupervised learning tasks, such as density estimation and data synthesis. Methods for both are implemented in this package. ARFs naturally handle unstructured data with mixed continuous and categorical covariates. They inherit many of the benefits of random forests, including speed, flexibility, and solid performance with default parameters. For details, see Watson et al. (2023) <https://proceedings.mlr.press/v206/watson23a.html>.
Author: Marvin N. Wright [aut, cre] , David S. Watson [aut] , Kristin Blesch [aut] , Jan Kapar [aut]
Maintainer: Marvin N. Wright <cran@wrig.de>

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Package poems updated to version 1.3.2 with previous version 1.3.1 dated 2024-09-19

Title: Pattern-Oriented Ensemble Modeling System
Description: A framework of interoperable R6 classes (Chang, 2020, <https://CRAN.R-project.org/package=R6>) for building ensembles of viable models via the pattern-oriented modeling (POM) approach (Grimm et al.,2005, <doi:10.1126/science.1116681>). The package includes classes for encapsulating and generating model parameters, and managing the POM workflow. The workflow includes: model setup; generating model parameters via Latin hyper-cube sampling (Iman & Conover, 1980, <doi:10.1080/03610928008827996>); running multiple sampled model simulations; collating summary results; and validating and selecting an ensemble of models that best match known patterns. By default, model validation and selection utilizes an approximate Bayesian computation (ABC) approach (Beaumont et al., 2002, <doi:10.1093/genetics/162.4.2025>), although alternative user-defined functionality could be employed. The package includes a spatially explicit demographic population model simulation engine, [...truncated...]
Author: Sean Haythorne [aut], Damien Fordham [aut], Stuart Brown [aut] , Jessie Buettel [aut], Barry Brook [aut], July Pilowsky [aut, cre]
Maintainer: July Pilowsky <pilowskyj@caryinstitute.org>

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Package Petersen updated to version 2025.3.1 with previous version 2024.6.1 dated 2024-05-31

Title: Estimators for Two-Sample Capture-Recapture Studies
Description: A comprehensive implementation of Petersen-type estimators and its many variants for two-sample capture-recapture studies. A conditional likelihood approach is used that allows for tag loss; non reporting of tags; reward tags; categorical, geographical and temporal stratification; partial stratification; reverse capture-recapture; and continuous variables in modeling the probability of capture. Many examples from fisheries management are presented.
Author: Carl Schwarz [aut, cre]
Maintainer: Carl Schwarz <cschwarz.stat.sfu.ca@gmail.com>

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Package ldmppr updated to version 1.0.4 with previous version 1.0.3 dated 2024-12-02

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

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Package undidR updated to version 1.0.1 with previous version 1.0.0 dated 2025-01-23

Title: Difference-in-Differences with Unpoolable Data
Description: A framework for estimating difference-in-differences with unpoolable data, based on Karim, Webb, Austin, and Strumpf (2024) <doi:10.48550/arXiv.2403.15910>. Supports common or staggered adoption, multiple groups, and the inclusion of covariates. Also computes p-values for the aggregate average treatment effect on the treated via the randomization inference procedure described in MacKinnon and Webb (2020) <doi:10.1016/j.jeconom.2020.04.024>.
Author: Eric Jamieson [aut, cre, cph]
Maintainer: Eric Jamieson <ericbrucejamieson@gmail.com>

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Package tidyllm updated to version 0.3.1 with previous version 0.3.0 dated 2024-12-08

Title: Tidy Integration of Large Language Models
Description: A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'Openai', 'Groq','Mistral' and local models via 'Ollama' into R workflows. The package supports text and media-based interactions, interactive message history, batch request APIs, and a tidy, pipeline-oriented interface for streamlined integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://groq.com>, <https://mistral.ai/> and <https://ollama.com>.
Author: Eduard Bruell [aut, cre], Jia Zhang [ctb]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>

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Package swash updated to version 1.1.0 with previous version 1.0.0 dated 2025-02-13

Title: Swash-Backwash Model for the Single Epidemic Wave
Description: The Swash-Backwash Model for the Single Epidemic Wave was developed by Cliff and Haggett (2006) <doi:10.1007/s10109-006-0027-8> to model the velocity of spread of infectious diseases across space. This package enables the calculation of the Swash-Backwash Model for user-supplied panel data on regional infections. The package also provides additional functions for bootstrap confidence intervals, country comparison, visualization of results, and data management.
Author: Thomas Wieland [aut, cre]
Maintainer: Thomas Wieland <geowieland@googlemail.com>

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Package PAMmisc updated to version 1.12.4 with previous version 1.12.3 dated 2024-12-11

Title: Miscellaneous Functions for Passive Acoustic Analysis
Description: A collection of miscellaneous functions for passive acoustics. Much of the content here is adapted to R from code written by other people. If you have any ideas of functions to add, please contact Taiki Sakai.
Author: Taiki Sakai [aut, cre], Jay Barlow [ctb], Julie Oswald [ctb], Val Schmidt [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package autogam updated to version 0.1.0 with previous version 0.0.1 dated 2024-10-02

Title: Automate the Creation of Generalized Additive Models (GAMs)
Description: This wrapper package for 'mgcv' makes it easier to create high-performing Generalized Additive Models (GAMs). With its central function autogam(), by entering just a dataset and the name of the outcome column as inputs, 'AutoGAM' tries to automate the procedure of configuring a highly accurate GAM which performs at reasonably high speed, even for large datasets.
Author: Chitu Okoli [aut, cre]
Maintainer: Chitu Okoli <Chitu.Okoli@skema.edu>

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Package uptasticsearch updated to version 1.0.0 with previous version 0.4.0 dated 2019-09-11

Title: Get Data Frame Representations of 'Elasticsearch' Results
Description: 'Elasticsearch' is an open-source, distributed, document-based datastore (<https://www.elastic.co/products/elasticsearch>). It provides an 'HTTP' 'API' for querying the database and extracting datasets, but that 'API' was not designed for common data science workflows like pulling large batches of records and normalizing those documents into a data frame that can be used as a training dataset for statistical models. 'uptasticsearch' provides an interface for 'Elasticsearch' that is explicitly designed to make these data science workflows easy and fun.
Author: James Lamb [aut, cre], Nick Paras [aut], Austin Dickey [aut], Michael Frasco [ctb], Weiwen Gu [ctb], Will Dearden [ctb], Uptake Technologies Inc. [cph]
Maintainer: James Lamb <jaylamb20@gmail.com>

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Package RMariaDB updated to version 1.3.4 with previous version 1.3.3 dated 2024-11-18

Title: Database Interface and MariaDB Driver
Description: Implements a DBI-compliant interface to MariaDB (<https://mariadb.org/>) and MySQL (<https://www.mysql.com/>) databases.
Author: Kirill Mueller [aut, cre] , Jeroen Ooms [aut] , David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package MSTest updated to version 0.1.5 with previous version 0.1.3 dated 2024-10-30

Title: Hypothesis Testing for Markov Switching Models
Description: Implementation of hypothesis testing procedures described in Hansen (1992) <doi:10.1002/jae.3950070506>, Carrasco, Hu, & Ploberger (2014) <doi:10.3982/ECTA8609>, Dufour & Luger (2017) <doi:10.1080/07474938.2017.1307548>, and Rodriguez Rondon & Dufour (2024) <https://grodriguezrondon.com/files/RodriguezRondon_Dufour_2024_MonteCarlo_LikelihoodRatioTest_MarkovSwitchingModels_20241015.pdf> that can be used to identify the number of regimes in Markov switching models.
Author: Gabriel Rodriguez Rondon [cre, aut], Jean-Marie Dufour [aut]
Maintainer: Gabriel Rodriguez Rondon <gabriel.rodriguezrondon@mail.mcgill.ca>

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Package LightLogR updated to version 0.5.3 with previous version 0.3.8 dated 2024-07-04

Title: Process Data from Wearable Light Loggers and Optical Radiation Dosimeters
Description: Import, processing, validation, and visualization of personal light exposure measurement data from wearable devices. The package implements features such as the import of data and metadata files, conversion of common file formats, validation of light logging data, verification of crucial metadata, calculation of common parameters, and semi-automated analysis and visualization.
Author: Johannes Zauner [aut, cre] , Manuel Spitschan [aut] , Steffen Hartmeyer [aut] , MeLiDos [fnd], EURAMET [fnd] has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovatio [...truncated...]
Maintainer: Johannes Zauner <johannes.zauner@tum.de>

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Package cucumber updated to version 1.2.0 with previous version 1.1.0 dated 2024-10-14

Title: Behavior-Driven Development for R
Description: Write executable specifications in a natural language that describes how your code should behave. Write specifications in feature files using 'Gherkin' language and execute them using functions implemented in R. Use them as an extension to your 'testthat' tests to provide a high level description of how your code works.
Author: Jakub Sobolewski [aut, cre]
Maintainer: Jakub Sobolewski <jakupsob@gmail.com>

Diff between cucumber versions 1.1.0 dated 2024-10-14 and 1.2.0 dated 2025-02-24

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Package WeightIt updated to version 1.4.0 with previous version 1.3.2 dated 2024-11-05

Title: Weighting for Covariate Balance in Observational Studies
Description: Generates balancing weights for causal effect estimation in observational studies with binary, multi-category, or continuous point or longitudinal treatments by easing and extending the functionality of several R packages and providing in-house estimation methods. Available methods include those that rely on parametric modeling, optimization, and machine learning. Also allows for assessment of weights and checking of covariate balance by interfacing directly with the 'cobalt' package. Methods for estimating weighted regression models that take into account uncertainty in the estimation of the weights via M-estimation or bootstrapping are available. See the vignette "Installing Supporting Packages" for instructions on how to install any package 'WeightIt' uses, including those that may not be on CRAN.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between WeightIt versions 1.3.2 dated 2024-11-05 and 1.4.0 dated 2025-02-24

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Package RFplus updated to version 1.3-0 with previous version 1.2-2 dated 2025-02-04

Title: Machine Learning for Merging Satellite and Ground Precipitation Data
Description: A machine learning algorithm that merges satellite and ground precipitation data using Random Forest for spatial prediction, residual modeling for bias correction, and quantile mapping for adjustment, ensuring accurate estimates across temporal scales and regions.
Author: Jonnathan Augusto Landi Bermeo [aut, cre, cph] , Alex Aviles [aut] , Dario Zhina [aut] , Marco Mogro [aut]
Maintainer: Jonnathan Augusto Landi Bermeo <jonnathan.landi@outlook.com>

Diff between RFplus versions 1.2-2 dated 2025-02-04 and 1.3-0 dated 2025-02-24

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New package qbinplots with initial version 0.3.3
Package: qbinplots
Title: Quantile Binned Plots
Version: 0.3.3
Description: Create quantile binned and conditional plots for Exploratory Data Analysis. The package provides several plotting functions that are all based on quantile binning. The plots are created with 'ggplot2' and 'patchwork' and can be further adjusted.
License: MIT + file LICENSE
URL: https://edwindj.github.io/qbinplots/
BugReports: https://github.com/edwindj/qbinplots/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, data.table, patchwork, scales
Suggests: palmerpenguins, tinytest
NeedsCompilation: no
Packaged: 2025-02-22 10:22:13 UTC; edwin
Author: Edwin de Jonge [aut, cre] , Martijn Tennekes [ctb]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-24 17:20:02 UTC

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New package disagg2 with initial version 0.1.0
Package: disagg2
Title: Support Functions for Time Series Analysis Book
Version: 0.1.0
Description: Contains the support functions for the Time Series Analysis book. We present a function to calculate MSE and MAE for inputs of actual and forecast values. We also have the code for disaggregation as found in Wei and Stram (1990, <doi:10.1111/j.2517-6161.1990.tb01799.x>), and Hodgess and Wei (1996, "Temporal Disaggregation of Time Series").
Depends: R (>= 4.4.0), PolynomF
License: GPL-2 | GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-22 07:01:14 UTC; e
Author: Erin Hodgess [aut, cre]
Maintainer: Erin Hodgess <erinm.hodgess@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-24 17:20:05 UTC

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New package DER with initial version 1.0
Package: DER
Title: Income Polarization Index
Version: 1.0
Date: 2025-02-22
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, Rfast2, stats
Description: The DER (or PaF) income polarization index as proposed by Duclos J. Y., Esteban, J. and Ray D. (2004). "Polarization: concepts, measurement, estimation". Econometrica, 72(6): 1737--1772. <doi:10.1111/j.1468-0262.2004.00552.x>. The index may be computed for a single or for a range of values of the alpha-parameter. Bootstrapping is also available.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-02-22 15:09:09 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-02-24 17:30:02 UTC

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Package clusterMI updated to version 1.5 with previous version 1.4.0 dated 2025-02-12

Title: Cluster Analysis with Missing Values by Multiple Imputation
Description: Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps, following Audigier and Niang 2022 <doi:10.1007/s11634-022-00519-1>. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods, as discussed in Audigier et al. (2021) <doi:10.48550/arXiv.2106.04424>. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling. The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap (see Fang, Y. and Wang, J., 2012 <doi:10.1016/j.csda.2011.09.003>). Among applications, this instability measure can be used to choose a number of clusters with missing value [...truncated...]
Author: Vincent Audigier [aut, cre] , Hang Joon Kim [ctb]
Maintainer: Vincent Audigier <vincent.audigier@cnam.fr>

Diff between clusterMI versions 1.4.0 dated 2025-02-12 and 1.5 dated 2025-02-24

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New package causalQual with initial version 1.0.0
Package: causalQual
Title: Causal Inference for Qualitative Outcomes
Version: 1.0.0
Description: Implements the framework introduced in Di Francesco and Mellace (2025) <doi:10.48550/arXiv.2502.11691>, shifting the focus to well-defined and interpretable estimands that quantify how treatment affects the probability distribution over outcome categories. It supports selection-on-observables, instrumental variables, regression discontinuity, and difference-in-differences designs.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: AER, caret, cli, ggplot2, ggsci, grf, lmtest, magrittr, ocf, rdrobust, sandwich, stats, stringr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://riccardo-df.github.io/causalQual/
NeedsCompilation: no
Packaged: 2025-02-22 12:46:57 UTC; riccardo-df
Author: Riccardo Di Francesco [aut, cre, cph]
Maintainer: Riccardo Di Francesco <difrancesco.riccardo96@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-24 17:20:12 UTC

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New package xdvir with initial version 0.1-2
Package: xdvir
Title: Render 'LaTeX' in Plots
Version: 0.1-2
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>
Description: High-level functions to render 'LaTeX' fragments in plots, including as labels and data symbols in 'ggplot2' plots, plus low-level functions to author 'LaTeX' fragments (to produce 'LaTeX' documents), typeset 'LaTeX' documents (to produce 'DVI' files), read 'DVI' files (to produce "DVI" objects), and render "DVI" objects.
Depends: R (>= 4.3.0)
SystemRequirements: freetype2
Imports: grDevices, grid, hexView (>= 0.3-4), tinytex, rlang, systemfonts (>= 1.1.0)
Suggests: gridBezier, knitr, rmarkdown, lattice, gridGraphics, gggrid, ggplot2, cli
VignetteBuilder: knitr
License: GPL-3
NeedsCompilation: yes
Packaged: 2025-02-21 22:05:14 UTC; pmur002
Author: Paul Murrell [aut, cre]
Repository: CRAN
Date/Publication: 2025-02-24 17:00:02 UTC

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Permanent link

Package SimplyAgree updated to version 0.2.1 with previous version 0.2.0 dated 2024-03-21

Title: Flexible and Robust Agreement and Reliability Analyses
Description: Reliability and agreement analyses often have limited software support. Therefore, this package was created to make agreement and reliability analyses easier for the average researcher. The functions within this package include simple tests of agreement, agreement analysis for nested and replicate data, and provide robust analyses of reliability. In addition, this package contains a set of functions to help when planning studies looking to assess measurement agreement.
Author: Aaron Caldwell [aut, cre]
Maintainer: Aaron Caldwell <arcaldwell49@gmail.com>

Diff between SimplyAgree versions 0.2.0 dated 2024-03-21 and 0.2.1 dated 2025-02-24

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Package reticulate updated to version 1.41.0 with previous version 1.40.0 dated 2024-11-14

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

Diff between reticulate versions 1.40.0 dated 2024-11-14 and 1.41.0 dated 2025-02-24

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New package mermboost with initial version 0.1.0
Package: mermboost
Title: Gradient Boosting for Generalized Additive Mixed Models
Version: 0.1.0
Author: Lars Knieper [aut, cre], Torsten Hothorn [aut], Elisabeth Bergherr [aut], Colin Griesbach [aut]
Maintainer: Lars Knieper <lars.knieper@uni-goettingen.de>
Description: Provides a novel framework to estimate mixed models via gradient boosting. The implemented functions are based on 'mboost' and 'lme4'. Hence, the family range is predetermined by 'lme4'. A correction mechanism for cluster-constant covariates is implemented as well as an estimation of random effects' covariance.
License: GPL-2
Depends: R (>= 3.5.0), mboost, lme4
Imports: stabs, data.table, MASS, Matrix, parallel, stringr, tibble
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-21 13:30:14 UTC; lars
Repository: CRAN
Date/Publication: 2025-02-24 16:40:07 UTC

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New package FRApp with initial version 1.0.0
Package: FRApp
Title: FRAP Data Analysis Using Nonlinear Mixed Effect Models with 'shiny'
Version: 1.0.0
Description: Analysis of Fluorescence Recovery After Photobleaching (FRAP) experiments using nonlinear mixed-effects regression models and analysis of the results. 'FRApp' is not limited to the analysis of FRAP experiments only. Any nonlinear mixed-effects models with an asymptotic exponential functional relationship to hierarchical data in various domains can be fitted. The analysis of data available in the package is presented in Di Credico, G., Pelucchi, S., Pauli, F. et al. (2025) <doi:10.1038/s41598-025-87154-w>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: nlme, shiny, gplots, grDevices, graphics, methods, stats, utils
NeedsCompilation: no
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/gioiadc/FRApp
BugReports: https://github.com/gioiadc/FRApp/issues
Packaged: 2025-02-21 17:26:57 UTC; gioia
Author: Gioia Di Credico [aut, cre, cph]
Maintainer: Gioia Di Credico <gioia.dicredico@deams.units.it>
Repository: CRAN
Date/Publication: 2025-02-24 16:50:05 UTC

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New package crane with initial version 0.1.0
Package: crane
Title: Supplements the 'gtsummary' Package for Pharmaceutical Reporting
Version: 0.1.0
Description: Tables summarizing clinical trial results are often complex and require detailed tailoring prior to submission to a health authority. The 'crane' package supplements the functionality of the 'gtsummary' package for creating these often highly bespoke tables in the pharmaceutical industry.
License: Apache License 2.0
URL: https://github.com/insightsengineering/crane, https://insightsengineering.github.io/crane/
BugReports: https://github.com/insightsengineering/crane/issues
Depends: R (>= 4.2)
Imports: cli (>= 3.6.4), dplyr (>= 1.1.4), flextable (>= 0.9.7), gt (>= 0.11.1), gtsummary (>= 2.1.0), rlang (>= 1.1.5)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-02-21 22:53:07 UTC; sjobergd
Author: Daniel D. Sjoberg [aut, cre] , Emily de la Rua [aut], Davide Garolini [aut], Abinaya Yogasekaram [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-24 17:00:07 UTC

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Package CNID updated to version 2.0.1 with previous version 1.3.1 dated 2023-10-24

Title: Get Basic Information from Chinese ID Number
Description: The Chinese ID number contains a lot of information, this package helps you get the date of birth, age, age based on year, gender, region, zodiac, constellation information from the Chinese ID number.
Author: Xinyuan Chu [aut, cre]
Maintainer: Xinyuan Chu <chuxinyuan@outlook.com>

Diff between CNID versions 1.3.1 dated 2023-10-24 and 2.0.1 dated 2025-02-24

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New package acledR with initial version 0.1.0
Package: acledR
Title: Manipulate ACLED Data
Version: 0.1.0
Description: Tools working with data from ACLED (Armed Conflict Location and Event Data). Functions include simplified access to ACLED's API (<https://apidocs.acleddata.com/>), methods for keeping local versions of ACLED data up-to-date, and functions for common ACLED data transformations.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: dplyr, methods, httr, lubridate, stringr, tidyr, magrittr, purrr, rlang, utils
Depends: R (>= 3.5.0)
URL: https://dtacled.github.io/acledR/
BugReports: https://github.com/dtacled/acledR/issues
Suggests: knitr, janitor, rmarkdown, readr, kableExtra, ggplot2, covr, here, secret, sf, raster, forcats, igraph, sjmisc, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-21 15:03:22 UTC; studio
Author: Armed Conflict Location and Event Data ACLED [cph], Trey Billing [aut, cre], Lucas Fagliano [aut], Katayoun Kishi [ctb]
Maintainer: Trey Billing <t.billing@acleddata.com>
Repository: CRAN
Date/Publication: 2025-02-24 16:50:02 UTC

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Package beastt updated to version 0.0.2 with previous version 0.0.1 dated 2024-06-20

Title: Bayesian Evaluation, Analysis, and Simulation Software Tools for Trials
Description: Bayesian dynamic borrowing with covariate adjustment via inverse probability weighting for simulations and data analyses in clinical trials. This makes it easy to use propensity score methods to balance covariate distributions between external and internal data.
Author: Christina Fillmore [aut, cre] , Ben Arancibia [aut], Nate Bean [aut] , Abi Terry [aut], GlaxoSmithKline Research & Development Limited [cph, fnd], Trustees of Columbia University [cph]
Maintainer: Christina Fillmore <christina.e.fillmore@gsk.com>

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Package gamboostLSS updated to version 2.1-0 with previous version 2.0-7 dated 2023-03-09

Title: Boosting Methods for 'GAMLSS'
Description: Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.
Author: Benjamin Hofner [aut, cre] , Andreas Mayr [aut], Nora Fenske [aut], Janek Thomas [aut], Matthias Schmid [aut]
Maintainer: Benjamin Hofner <benjamin.hofner@pei.de>

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Package brpop updated to version 0.6.0 with previous version 0.5.0 dated 2024-10-17

Title: Brazilian Population Estimatives
Description: Functions to handle and aggregate population estimates for Brazilian municipalities by sex and age groups.
Author: Raphael Saldanha [aut, cre]
Maintainer: Raphael Saldanha <raphael.saldanha@fiocruz.br>

Diff between brpop versions 0.5.0 dated 2024-10-17 and 0.6.0 dated 2025-02-24

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Package ISO11784Tools updated to version 1.2.0 with previous version 1.1.4 dated 2023-03-01

Title: ISO11784 PIT Tag ID Format Converters
Description: Some tools to assist with converting International Organization for Standardization (ISO) standard 11784 (ISO11784) animal ID codes between 4 recognised formats commonly displayed on Passive Integrated Transponder (PIT) tag readers. The most common formats are 15 digit decimal, e.g., 999123456789012, and 13 character hexadecimal 'dot' format, e.g., 3E7.1CBE991A14. These are referred to in this package as isodecimal and isodothex. The other two formats are the raw hexadecimal representation of the ISO11784 binary structure (see <https://en.wikipedia.org/wiki/ISO_11784_and_ISO_11785>). There are two 'flavours' of this format, a left and a right variation. Which flavour a reader happens to output depends on if the developers decided to reverse the binary number or not before converting to hexadecimal, a decision based on the fact that the PIT tags will transmit their binary code Least Significant Bit (LSB) first, or backwards basically.
Author: Graeme Diack [aut, cre]
Maintainer: Graeme Diack <graemediack@hotmail.com>

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Package BIOMASS updated to version 2.2.3 with previous version 2.1.12 dated 2025-02-12

Title: Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests
Description: Contains functions to estimate aboveground biomass/carbon and its uncertainty in tropical forests. These functions allow to (1) retrieve and to correct taxonomy, (2) estimate wood density and its uncertainty, (3) construct height-diameter models, (4) manage tree and plot coordinates, (5) estimate the aboveground biomass/carbon at the stand level with associated uncertainty. To cite 'BIOMASS', please use citation("BIOMASS"). See more in the article of Réjou-Méchain et al. (2017) <doi:10.1111/2041-210X.12753>.
Author: Maxime Rejou-Mechain [aut, dtc], Guillaume Cornu [aut] , Dominique Lamonica [aut, cre], Arthur Bailly [aut], Arthur Pere [aut], Ariane Tanguy [aut], Jerome Chave [dtc], Ted Feldpausch [dtc], Philippe Verley [ctb], Camille Piponiot [aut], Bruno Heraul [...truncated...]
Maintainer: Dominique Lamonica <dominique.lamonica@ird.fr>

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Package RALSA updated to version 1.5.5 with previous version 1.5.0 dated 2024-09-23

Title: R Analyzer for Large-Scale Assessments
Description: Download, prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 <doi:10.3102/0013189X10363170>). Such studies are, for example, international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical interface is available for the non-technical user.The package includes functions to covert the original data from 'SPSS' into 'R' data sets keeping the user-defined missing values, merge data from different respondents and/or countries, generate variable dictionaries, modify data, produce descriptive statistics (percentages, means, percentiles, benchmarks) and multivariate statistics (correlations, linear regression, binary logistic regression). The number of supported studies and analysis types will increase in future. For a general presentation of the package, see 'Mirazchiyski', 2021a (<doi:10.1186/s40536-021-00114-4>). For detailed technical aspects of the package, see 'Mirazchiyski', 2021b (< [...truncated...]
Author: Plamen V. Mirazchiyski [aut, cre], INERI [aut]
Maintainer: Plamen V. Mirazchiyski <plamen.mirazchiyski@ineri.org>

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Package photon updated to version 0.3.5 with previous version 0.3.1 dated 2024-11-11

Title: High-Performance Geocoding using 'photon'
Description: Features unstructured, structured and reverse geocoding using the 'photon' geocoding API <https://photon.komoot.io/>. Facilitates the setup of local 'photon' instances to enable offline geocoding.
Author: Jonas Lieth [aut, cre, cph]
Maintainer: Jonas Lieth <jonas.lieth@gesis.org>

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Package iml updated to version 0.11.4 with previous version 0.11.3 dated 2024-04-27

Title: Interpretable Machine Learning
Description: Interpretability methods to analyze the behavior and predictions of any machine learning model. Implemented methods are: Feature importance described by Fisher et al. (2018) <doi:10.48550/arxiv.1801.01489>, accumulated local effects plots described by Apley (2018) <doi:10.48550/arxiv.1612.08468>, partial dependence plots described by Friedman (2001) <www.jstor.org/stable/2699986>, individual conditional expectation ('ice') plots described by Goldstein et al. (2013) <doi:10.1080/10618600.2014.907095>, local models (variant of 'lime') described by Ribeiro et. al (2016) <doi:10.48550/arXiv.1602.04938>, the Shapley Value described by Strumbelj et. al (2014) <doi:10.1007/s10115-013-0679-x>, feature interactions described by Friedman et. al <doi:10.1214/07-AOAS148> and tree surrogate models.
Author: Giuseppe Casalicchio [aut, cre], Christoph Molnar [aut], Patrick Schratz [aut]
Maintainer: Giuseppe Casalicchio <giuseppe.casalicchio@lmu.de>

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Package bigergm updated to version 1.2.4 with previous version 1.2.3 dated 2024-10-23

Title: Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks
Description: A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).'bigergm' implements the estimation for large networks efficiently building on the 'lighthergm' and 'hergm' packages. Moreover, the package contains tools for simulating networks with local dependence to assess the goodness-of-fit.
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut], Shota Komatsu [aut], Juan Nelson Martinez Dahbura [aut], Takanori Nishida [aut], Angelo Mele [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>

Diff between bigergm versions 1.2.3 dated 2024-10-23 and 1.2.4 dated 2025-02-24

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Package localScore updated to version 2.0.1 with previous version 1.0.10 dated 2023-11-02

Title: Package for Sequence Analysis by Local Score
Description: Functionalities for calculating the local score and calculating statistical relevance (p-value) to find a local Score in a sequence of given distribution (S. Mercier and J.-J. Daudin (2001) <https://hal.science/hal-00714174/>) ; S. Karlin and S. Altschul (1990) <https://pmc.ncbi.nlm.nih.gov/articles/PMC53667/> ; S. Mercier, D. Cellier and F. Charlot (2003) <https://hal.science/hal-00937529v1/> ; A. Lagnoux, S. Mercier and P. Valois (2017) <doi:10.1093/bioinformatics/btw699> ).
Author: Sebastian Simon [aut], Chris Verschelden [aut], Charly Marty [aut], David Robelin [aut, cre], Sabine Mercier [aut], Sebastien Dejean [aut], The authors of Eigen the library for the included version of Eigen [cph]
Maintainer: David Robelin <david.robelin@inrae.fr>

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Package schwabr updated to version 0.1.3 with previous version 0.1.2 dated 2025-02-11

Title: 'Schwab API' Interface
Description: Use R to interface with the 'Charles Schwab Trade API' <https://developer.schwab.com/>. Functions include authentication, trading, price requests, account information, and option chains. A user will need a Schwab brokerage account and Schwab Individual Developer app. See README for authentication process and examples.
Author: Anthony Trevisan [aut, cre]
Maintainer: Anthony Trevisan <anthonytrevisan@gmail.com>

Diff between schwabr versions 0.1.2 dated 2025-02-11 and 0.1.3 dated 2025-02-24

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Package metR updated to version 0.18.0 with previous version 0.17.0 dated 2025-01-13

Title: Tools for Easier Analysis of Meteorological Fields
Description: Many useful functions and extensions for dealing with meteorological data in the tidy data framework. Extends 'ggplot2' for better plotting of scalar and vector fields and provides commonly used analysis methods in the atmospheric sciences.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <eliocampitelli@gmail.com>

Diff between metR versions 0.17.0 dated 2025-01-13 and 0.18.0 dated 2025-02-24

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Package ggnewscale updated to version 0.5.1 with previous version 0.5.0 dated 2024-07-19

Title: Multiple Fill and Colour Scales in 'ggplot2'
Description: Use multiple fill and colour scales in 'ggplot2'.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <eliocampitelli@gmail.com>

Diff between ggnewscale versions 0.5.0 dated 2024-07-19 and 0.5.1 dated 2025-02-24

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Package uwot updated to version 0.2.3 with previous version 0.2.2 dated 2024-04-21

Title: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction
Description: An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <doi:10.48550/arXiv.1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <doi:10.48550/arXiv.1602.00370> is also provided. This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.
Author: James Melville [aut, cre, cph], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb], Dirk Eddelbuettel [ctb], Wouter van der Bijl [ctb]
Maintainer: James Melville <jlmelville@gmail.com>

Diff between uwot versions 0.2.2 dated 2024-04-21 and 0.2.3 dated 2025-02-24

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Package meconetcomp updated to version 0.6.1 with previous version 0.6.0 dated 2025-01-07

Title: Compare Microbial Networks of 'trans_network' Class of 'microeco' Package
Description: Compare microbial co-occurrence networks created from 'trans_network' class of 'microeco' package <https://github.com/ChiLiubio/microeco>. This package is the extension of 'trans_network' class of 'microeco' package and especially useful when different networks are constructed and analyzed simultaneously.
Author: Chi Liu [aut, cre], Minjie Yao [ctb], Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

Diff between meconetcomp versions 0.6.0 dated 2025-01-07 and 0.6.1 dated 2025-02-24

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Package ggalignment updated to version 1.0.2 with previous version 1.0.1 dated 2022-11-04

Title: Plots 'D&D'-Style Alignment Charts
Description: 'D&D' alignment charts show 9 boxes with values for good through evil and values for chaotic through lawful. This package easily creates these alignment charts from user-provided image paths and alignment values.
Author: Afton Coombs [aut, cre, cph], Tan Ho [ctb]
Maintainer: Afton Coombs <aftoncoombs@gmail.com>

Diff between ggalignment versions 1.0.1 dated 2022-11-04 and 1.0.2 dated 2025-02-24

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