Mon, 03 Mar 2025

Package formatBibtex updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-03

Title: Format BibTeX Entries and Files
Description: Format BibTeX entries and files in an opinionated way.
Author: Wenjie Wang [aut, cre]
Maintainer: Wenjie Wang <wang@wwenjie.org>

Diff between formatBibtex versions 0.1.0 dated 2023-02-03 and 0.1.1 dated 2025-03-03

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Package dartR.base updated to version 1.0.5 with previous version 0.98 dated 2024-09-19

Title: Analysing 'SNP' and 'Silicodart' Data - Basic Functions
Description: Facilitates the import and analysis of 'SNP' (single nucleotide 'polymorphism') and 'silicodart' (presence/absence) data. The main focus is on data generated by 'DarT' (Diversity Arrays Technology), however, data from other sequencing platforms can be used once 'SNP' or related fragment presence/absence data from any source is imported. Genetic datasets are stored in a derived 'genlight' format (package 'adegenet'), that allows for a very compact storage of data and metadata. Functions are available for importing and exporting of 'SNP' and 'silicodart' data, for reporting on and filtering on various criteria (e.g. 'callrate', 'heterozygosity', 'reproducibility', maximum allele frequency). Additional functions are available for visualization (e.g. Principle Coordinate Analysis) and creating a spatial representation using maps. 'dartR.base' is the 'base' package of the 'dartRverse' suits of packages. To install the other packages, we recommend to install the 'dartRverse' package, that su [...truncated...]
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Diana Robledo-Ruiz [aut], Peter J. Unmack [ctb], Oliver Berry [ctb], Lindsay V. Clark [ctb], Floriaan Devloo-Delva [ctb], Eric Archer [ctb], Ching Ching Lau [ [...truncated...]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

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Package PAMpal updated to version 1.4.4 with previous version 1.2.1 dated 2024-07-11

Title: Load and Process Passive Acoustic Data
Description: Tools for loading and processing passive acoustic data. Read in data that has been processed in 'Pamguard' (<https://www.pamguard.org/>), apply a suite processing functions, and export data for reports or external modeling tools. Parameter calculations implement methods by Oswald et al (2007) <doi:10.1121/1.2743157>, Griffiths et al (2020) <doi:10.1121/10.0001229> and Baumann-Pickering et al (2010) <doi:10.1121/1.3479549>.
Author: Taiki Sakai [aut, cre], Jay Barlow [ctb], Emily Griffiths [ctb], Michael Oswald [ctb], Simone Baumann-Pickering [ctb], Julie Oswald [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package semfindr updated to version 0.1.9 with previous version 0.1.8 dated 2024-04-08

Title: Influential Cases in Structural Equation Modeling
Description: Sensitivity analysis in structural equation modeling using influence measures and diagnostic plots. Support leave-one-out casewise sensitivity analysis presented by Pek and MacCallum (2011) <doi:10.1080/00273171.2011.561068> and approximate casewise influence using scores and casewise likelihood.
Author: Shu Fai Cheung [aut, cre] , Mark Hok Chio Lai [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package handlr updated to version 0.3.1 with previous version 0.3.0 dated 2020-10-15

Title: Convert Among Citation Formats
Description: Converts among many citation formats, including 'BibTeX', 'Citeproc', 'Codemeta', 'RDF XML', 'RIS', 'Schema.org', and 'Citation File Format'. A low level 'R6' class is provided, as well as stand-alone functions for each citation format for both read and write.
Author: Scott Chamberlain [aut] , Brenton M. Wiernik [aut, cre] , Thierry Onkelinx [ctb]
Maintainer: Brenton M. Wiernik <brenton@wiernik.org>

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Package cpp11 updated to version 0.5.2 with previous version 0.5.1 dated 2024-12-04

Title: A C++11 Interface for R's C Interface
Description: Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
Author: Davis Vaughan [aut, cre] , Jim Hester [aut] , Romain Francois [aut] , Benjamin Kietzman [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package OSFD updated to version 3.1 with previous version 3.0 dated 2025-01-15

Title: Output Space-Filling Design
Description: Methods to generate a design in the input space that sequentially fills the output space of a black-box function. The output space-filling designs are helpful in inverse design or feature-based modeling problems. See Wang, Shangkun, Adam P. Generale, Surya R. Kalidindi, and V. Roshan Joseph. (2024), Sequential designs for filling output spaces, Technometrics, 66, 65–76. for details. This work is supported by U.S. National Foundation grant CMMI-1921646.
Author: Shangkun Wang [aut, cre], Roshan Joseph [aut]
Maintainer: Shangkun Wang <sk_wang@gatech.edu>

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Package mlexperiments updated to version 0.0.5 with previous version 0.0.4 dated 2024-07-05

Title: Machine Learning Experiments
Description: Provides 'R6' objects to perform parallelized hyperparameter optimization and cross-validation. Hyperparameter optimization can be performed with Bayesian optimization (via 'ParBayesianOptimization' <https://cran.r-project.org/package=ParBayesianOptimization>) and grid search. The optimized hyperparameters can be validated using k-fold cross-validation. Alternatively, hyperparameter optimization and validation can be performed with nested cross-validation. While 'mlexperiments' focuses on core wrappers for machine learning experiments, additional learner algorithms can be supplemented by inheriting from the provided learner base class.
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

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Package jsonlite updated to version 1.9.1 with previous version 1.9.0 dated 2025-02-19

Title: A Simple and Robust JSON Parser and Generator for R
Description: A reasonably fast JSON parser and generator, optimized for statistical data and the web. Offers simple, flexible tools for working with JSON in R, and is particularly powerful for building pipelines and interacting with a web API. The implementation is based on the mapping described in the vignette (Ooms, 2014). In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.
Author: Jeroen Ooms [aut, cre] , Duncan Temple Lang [ctb], Lloyd Hilaiel [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package HLAtools updated to version 1.4.0 with previous version 1.3.0 dated 2024-11-14

Title: Toolkit for HLA Immunogenomics
Description: A toolkit for the analysis and management of data for genes in the so-called "Human Leukocyte Antigen" (HLA) region. Functions extract reference data from the Anthony Nolan HLA Informatics Group/ImmunoGeneTics HLA 'GitHub' repository (ANHIG/IMGTHLA) <https://github.com/ANHIG/IMGTHLA>, validate Genotype List (GL) Strings, convert between UNIFORMAT and GL String Code (GLSC) formats, translate HLA alleles and GLSCs across ImmunoPolymorphism Database (IPD) IMGT/HLA Database release versions, identify differences between pairs of alleles at a locus, generate customized, multi-position sequence alignments, trim and convert allele-names across nomenclature epochs, and extend existing data-analysis methods.
Author: Livia Tran [aut], Ryan Nickens [aut], Leamon Crooms IV [aut], Derek Pappas [aut], Vinh Luu [ctb], Josh Bredeweg [ctb], Steven Mack [aut, cre]
Maintainer: Steven Mack <Steven.Mack@ucsf.edu>

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Package gsDesign updated to version 3.6.7 with previous version 3.6.6 dated 2025-02-10

Title: Group Sequential Design
Description: Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.
Author: Keaven Anderson [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>

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Package fwb updated to version 0.3.0 with previous version 0.2.0 dated 2023-12-06

Title: Fractional Weighted Bootstrap
Description: An implementation of the fractional weighted bootstrap to be used as a drop-in for functions in the 'boot' package. The fractional weighted bootstrap (also known as the Bayesian bootstrap) involves drawing weights randomly that are applied to the data rather than resampling units from the data. See Xu et al. (2020) <doi:10.1080/00031305.2020.1731599> for details.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package CFtime updated to version 1.5.1 with previous version 1.5.0 dated 2025-01-15

Title: Using CF-Compliant Calendars with Climate Projection Data
Description: Support for all calendars as specified in the Climate and Forecast (CF) Metadata Conventions for climate and forecasting data. The CF Metadata Conventions is widely used for distributing files with climate observations or projections, including the Coupled Model Intercomparison Project (CMIP) data used by climate change scientists and the Intergovernmental Panel on Climate Change (IPCC). This package specifically allows the user to work with any of the CF-compliant calendars (many of which are not compliant with POSIXt). The CF time coordinate is formally defined in the CF Metadata Conventions document available at <https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#time-coordinate>.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

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Package mlsurvlrnrs updated to version 0.0.5 with previous version 0.0.4 dated 2024-07-05

Title: R6-Based ML Survival Learners for 'mlexperiments'
Description: Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners for survival analysis. The package provides R6-based survival learners for the following algorithms: 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger' <https://CRAN.R-project.org/package=ranger>, 'xgboost' <https://CRAN.R-project.org/package=xgboost>, and 'rpart' <https://CRAN.R-project.org/package=rpart>. These can be used directly with the 'mlexperiments' R package.
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

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Package rKIN updated to version 1.0.4 with previous version 1.0.3 dated 2025-02-14

Title: (Kernel) Isotope Niche Estimation
Description: Applies methods used to estimate animal homerange, but instead of geospatial coordinates, we use isotopic coordinates. The estimation methods include: 1) 2-dimensional bivariate normal kernel utilization density estimator, 2) bivariate normal ellipse estimator, and 3) minimum convex polygon estimator, all applied to stable isotope data. Additionally, functions to determine niche area, polygon overlap between groups and levels (confidence contours) and plotting capabilities.
Author: Shannon E Albeke [aut, cre]
Maintainer: Shannon E Albeke <salbeke@uwyo.edu>

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Package recolorize updated to version 0.2.0 with previous version 0.1.0 dated 2021-12-07

Title: Color-Based Image Segmentation
Description: Automatic, semi-automatic, and manual functions for generating color maps from images. The idea is to simplify the colors of an image according to a metric that is useful for the user, using deterministic methods whenever possible. Many images will be clustered well using the out-of-the-box functions, but the package also includes a toolbox of functions for making manual adjustments (layer merging/isolation, blurring, fitting to provided color clusters or those from another image, etc). Also includes export methods for other color/pattern analysis packages (pavo, patternize, colordistance).
Author: Hannah Weller [aut, cre]
Maintainer: Hannah Weller <hannahiweller@gmail.com>

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Package rbmi updated to version 1.4.1 with previous version 1.4.0 dated 2025-02-07

Title: Reference Based Multiple Imputation
Description: Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.
Author: Isaac Gravestock [aut, cre], Craig Gower-Page [aut], Alessandro Noci [aut], Marcel Wolbers [ctb], Daniel Sabanes Bove [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Isaac Gravestock <isaac.gravestock@roche.com>

Diff between rbmi versions 1.4.0 dated 2025-02-07 and 1.4.1 dated 2025-03-03

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Package sars updated to version 2.0.0 with previous version 1.3.7 dated 2024-10-03

Title: Fit and Compare Species-Area Relationship Models Using Multimodel Inference
Description: Implements the basic elements of the multi-model inference paradigm for up to twenty species-area relationship models (SAR), using simple R list-objects and functions, as in Triantis et al. 2012 <DOI:10.1111/j.1365-2699.2011.02652.x>. The package is scalable and users can easily create their own model and data objects. Additional SAR related functions are provided.
Author: Thomas J. Matthews [aut, cre] , Francois Guilhaumon [aut] , Kevin Cazelles [rev]
Maintainer: Thomas J. Matthews <txm676@gmail.com>

Diff between sars versions 1.3.7 dated 2024-10-03 and 2.0.0 dated 2025-03-03

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Package chatRater updated to version 1.1.0 with previous version 1.0.0 dated 2025-02-17

Title: Rating and Evaluating Texts Using Large Language Models
Description: Generates ratings and psycholinguistic metrics for textual stimuli using large language models. It enables users to evaluate idioms and other language materials by combining context, prompts, and stimulus inputs. It supports multiple LLM APIs (such as 'OpenAI', 'DeepSeek', 'Anthropic', 'Cohere', 'Google PaLM', and 'Ollama') by allowing users to switch models with a single parameter. In addition to generating numeric ratings, 'chatRater' provides functions for obtaining detailed psycholinguistic metrics including word frequency (with optional corpus input), lexical coverage (with customizable vocabulary size and test basis), Zipf metric, Levenshtein distance, and semantic transparency.
Author: Shiyang Zheng [aut, cre]
Maintainer: Shiyang Zheng <Shiyang.Zheng@nottingham.ac.uk>

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Package BHSBVAR updated to version 3.1.2 with previous version 3.1.1 dated 2022-11-05

Title: Structural Bayesian Vector Autoregression Models
Description: Provides a function for estimating the parameters of Structural Bayesian Vector Autoregression models with the method developed by Baumeister and Hamilton (2015) <doi:10.3982/ECTA12356>, Baumeister and Hamilton (2017) <doi:10.3386/w24167>, and Baumeister and Hamilton (2018) <doi:10.1016/j.jmoneco.2018.06.005>. Functions for plotting impulse responses, historical decompositions, and posterior distributions of model parameters are also provided.
Author: Paul Richardson [aut, cre]
Maintainer: Paul Richardson <p.richardson.54391@gmail.com>

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Package scoringutils updated to version 2.1.0 with previous version 2.0.0 dated 2024-10-31

Title: Utilities for Scoring and Assessing Predictions
Description: Facilitate the evaluation of forecasts in a convenient framework based on data.table. It allows user to to check their forecasts and diagnose issues, to visualise forecasts and missing data, to transform data before scoring, to handle missing forecasts, to aggregate scores, and to visualise the results of the evaluation. The package mostly focuses on the evaluation of probabilistic forecasts and allows evaluating several different forecast types and input formats. Find more information about the package in the Vignettes as well as in the accompanying paper, <doi:10.48550/arXiv.2205.07090>.
Author: Nikos Bosse [aut, cre] , Sam Abbott [aut] , Hugo Gruson [aut] , Johannes Bracher [ctb] , Toshiaki Asakura [ctb] , James Mba Azam [ctb] , Sebastian Funk [aut], Michael Chirico [ctb]
Maintainer: Nikos Bosse <nikosbosse@gmail.com>

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Package plmmr updated to version 4.2.1 with previous version 4.2.0 dated 2025-02-18

Title: Penalized Linear Mixed Models for Correlated Data
Description: Fits penalized linear mixed models that correct for unobserved confounding factors. 'plmmr' infers and corrects for the presence of unobserved confounding effects such as population stratification and environmental heterogeneity. It then fits a linear model via penalized maximum likelihood. Originally designed for the multivariate analysis of single nucleotide polymorphisms (SNPs) measured in a genome-wide association study (GWAS), 'plmmr' eliminates the need for subpopulation-specific analyses and post-analysis p-value adjustments. Functions for the appropriate processing of 'PLINK' files are also supplied. For examples, see the package homepage. <https://pbreheny.github.io/plmmr/>.
Author: Tabitha K. Peter [aut] , Anna C. Reisetter [aut] , Patrick J. Breheny [aut, cre] , Yujing Lu [aut]
Maintainer: Patrick J. Breheny <patrick-breheny@uiowa.edu>

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Package xpectr updated to version 0.4.4 with previous version 0.4.3 dated 2022-11-18

Title: Generates Expectations for 'testthat' Unit Testing
Description: Helps systematize and ease the process of building unit tests with the 'testthat' package by providing tools for generating expectations.
Author: Ludvig Renbo Olsen [aut, cre] , R. Mark Sharp [ctb]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

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Package survHE updated to version 2.0.3 with previous version 2.0.2 dated 2024-10-04

Title: Survival Analysis in Health Economic Evaluation
Description: Contains a suite of functions for survival analysis in health economics. These can be used to run survival models under a frequentist (based on maximum likelihood) or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian Monte Carlo). To run the Bayesian models, the user needs to install additional modules (packages), i.e. 'survHEinla' and 'survHEhmc'. These can be installed using 'remotes::install_github' from their GitHub repositories: (<https://github.com/giabaio/survHEhmc> and <https://github.com/giabaio/survHEinla/> respectively). 'survHEinla' is based on the package INLA, which is available for download at <https://inla.r-inla-download.org/R/stable/>. The user can specify a set of parametric models using a common notation and select the preferred mode of inference. The results can also be post-processed to produce probabilistic sensitivity analysis and can be used to export the output to an Excel file (e.g. for a Markov model, [...truncated...]
Author: Gianluca Baio [aut, cre], Andrea Berardi [ctb], Philip Cooney [ctb], Andrew Jones [ctb], Nathan Green [ctb]
Maintainer: Gianluca Baio <g.baio@ucl.ac.uk>

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Package rvinecopulib updated to version 0.7.1.1.2 with previous version 0.7.1.1.1 dated 2025-02-10

Title: High Performance Algorithms for Vine Copula Modeling
Description: Provides an interface to 'vinecopulib', a C++ library for vine copula modeling. The 'rvinecopulib' package implements the core features of the popular 'VineCopula' package, in particular inference algorithms for both vine copula and bivariate copula models. Advantages over 'VineCopula' are a sleeker and more modern API, improved performances, especially in high dimensions, nonparametric and multi-parameter families, and the ability to model discrete variables. The 'rvinecopulib' package includes 'vinecopulib' as header-only C++ library (currently version 0.7.1). Thus users do not need to install 'vinecopulib' itself in order to use 'rvinecopulib'. Since their initial releases, 'vinecopulib' is licensed under the MIT License, and 'rvinecopulib' is licensed under the GNU GPL version 3.
Author: Thomas Nagler [aut, cre], Thibault Vatter [aut]
Maintainer: Thomas Nagler <info@vinecopulib.org>

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Package rTwig updated to version 1.4.0 with previous version 1.3.0 dated 2024-11-21

Title: Realistic Quantitative Structure Models
Description: Real Twig is a method to correct branch overestimation in quantitative structure models. Overestimated cylinders are correctly tapered using measured twig diameters of corresponding tree species. Supported quantitative structure modeling software includes 'TreeQSM', 'SimpleForest', 'Treegraph', and 'aRchi'. Also included is a novel database of twig diameters and tools for fractal analysis of point clouds.
Author: Aidan Morales [aut, cre, cph] , David W. MacFarlane [aut, cph]
Maintainer: Aidan Morales <moral169@msu.edu>

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Package rearrr updated to version 0.3.5 with previous version 0.3.4 dated 2024-02-07

Title: Rearranging Data
Description: Arrange data by a set of methods. Use rearrangers to reorder data points and mutators to change their values. From basic utilities, to centering the greatest value, to swirling in 3-dimensional space, 'rearrr' enables creativity when plotting and experimenting with data.
Author: Ludvig Renbo Olsen [aut, cre]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

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Package difNLR updated to version 1.5.1-1 with previous version 1.5.0 dated 2024-12-19

Title: DIF and DDF Detection by Non-Linear Regression Models
Description: Detection of differential item functioning (DIF) among dichotomously scored items and differential distractor functioning (DDF) among unscored items with non-linear regression procedures based on generalized logistic regression models (Hladka & Martinkova, 2020, <doi:10.32614/RJ-2020-014>).
Author: Adela Hladka [aut, cre], Patricia Martinkova [aut], Karel Zvara [ctb]
Maintainer: Adela Hladka <hladka@cs.cas.cz>

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Package correlation updated to version 0.8.7 with previous version 0.8.6 dated 2024-10-26

Title: Methods for Correlation Analysis
Description: Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Part of the 'easystats' ecosystem. References: Makowski et al. (2020) <doi:10.21105/joss.02306>.
Author: Dominique Makowski [aut, inv] , Brenton M. Wiernik [aut, cre] , Indrajeet Patil [aut] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Remi Theriault [aut] , Mark White [rev], Maximilian M. Rabe [rev]
Maintainer: Brenton M. Wiernik <brenton@wiernik.org>

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Package SpaTopic updated to version 1.2.0 with previous version 1.1.0 dated 2024-04-22

Title: Topic Inference to Identify Tissue Architecture in Multiplexed Images
Description: A novel spatial topic model to integrate both cell type and spatial information to identify the complex spatial tissue architecture on multiplexed tissue images without human intervention. The Package implements a collapsed Gibbs sampling algorithm for inference. 'SpaTopic' is scalable to large-scale image datasets without extracting neighborhood information for every single cell. For more details on the methodology, see <https://xiyupeng.github.io/SpaTopic/>.
Author: Xiyu Peng [aut, cre]
Maintainer: Xiyu Peng <pansypeng124@gmail.com>

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Package scoringfunctions updated to version 1.1 with previous version 1.0 dated 2024-12-01

Title: A Collection of Loss Functions for Assessing Point Forecasts
Description: Implements multiple consistent scoring functions (Gneiting T (2011) <doi:10.1198/jasa.2011.r10138>) for assessing point forecasts and point predictions. Detailed documentation of scoring functions' properties is included for facilitating interpretation of results.
Author: Hristos Tyralis [aut, cre] , Georgia Papacharalampous [aut]
Maintainer: Hristos Tyralis <montchrister@gmail.com>

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Package barrks updated to version 1.1.0 with previous version 1.0.1 dated 2024-11-04

Title: Calculate Bark Beetle Phenology Using Different Models
Description: Calculate the bark beetle phenology based on raster data or point-related data. There are multiple models implemented for two bark beetle species. The models can be customized and their submodels (onset of infestation, beetle development, diapause initiation, mortality) can be combined. The following models are available in the package: PHENIPS-Clim (first-time release in this package), PHENIPS (Baier et al. 2007) <doi:10.1016/j.foreco.2007.05.020>, RITY (Ogris et al. 2019) <doi:10.1016/j.ecolmodel.2019.108775>, CHAPY (Ogris et al. 2020) <doi:10.1016/j.ecolmodel.2020.109137>, BSO (Jakoby et al. 2019) <doi:10.1111/gcb.14766>, Lange et al. (2008) <doi:10.1007/978-3-540-85081-6_32>, Jönsson et al. (2011) <doi:10.1007/s10584-011-0038-4>. The package may be expanded by models for other bark beetle species in the future.
Author: Jakob Jentschke [aut, cre], FVA BW, Abt. Waldschutz [cph, fnd]
Maintainer: Jakob Jentschke <jakob.jentschke@forst.bwl.de>

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Package waywiser updated to version 0.6.2 with previous version 0.6.1 dated 2025-02-16

Title: Ergonomic Methods for Assessing Spatial Models
Description: Assessing predictive models of spatial data can be challenging, both because these models are typically built for extrapolating outside the original region represented by training data and due to potential spatially structured errors, with "hot spots" of higher than expected error clustered geographically due to spatial structure in the underlying data. Methods are provided for assessing models fit to spatial data, including approaches for measuring the spatial structure of model errors, assessing model predictions at multiple spatial scales, and evaluating where predictions can be made safely. Methods are particularly useful for models fit using the 'tidymodels' framework. Methods include Moran's I ('Moran' (1950) <doi:10.2307/2332142>), Geary's C ('Geary' (1954) <doi:10.2307/2986645>), Getis-Ord's G ('Ord' and 'Getis' (1995) <doi:10.1111/j.1538-4632.1995.tb00912.x>), agreement coefficients from 'Ji' and Gallo (2006) (<doi: 10.14358/PERS.72.7.823>), agreement m [...truncated...]
Author: Michael Mahoney [aut, cre] , Lucas Johnson [ctb] , Virgilio Gomez-Rubio [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/571>), Jakub Nowosad [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/571 [...truncated...]
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

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More information about waywiser at CRAN
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Package siera updated to version 0.3.0 with previous version 0.1.0 dated 2025-02-10

Title: Generate Analysis Results Programmes Using ARS Metadata
Description: Analysis Results Standard (ARS), a foundational standard by CDISC (Clinical Data Interchange Standards Consortium), provides a logical data model for metadata describing all components to calculate Analysis Results. <https://www.cdisc.org/standards/foundational/analysis-results-standard> Using 'siera' package, ARS metadata is ingested (JSON or Excel format), producing programmes to generate Analysis Results Datasets (ARDs).
Author: Malan Bosman [aut, cre], Clymb Clinical [cph, fnd]
Maintainer: Malan Bosman <malanbos@gmail.com>

Diff between siera versions 0.1.0 dated 2025-02-10 and 0.3.0 dated 2025-03-03

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Package r2dictionary updated to version 0.3 with previous version 0.2 dated 2023-07-16

Title: A Mini-Dictionary for 'R', 'shiny' and 'rmarkdown' Documents
Description: Despite the predominant use of R for data manipulation and various robust statistical calculations, in recent years, more people from various disciplines are beginning to use R for other purposes. In doing this seemlessly, further tools are needed users to easily and freely write in R for all kinds of purposes. The r2dictionary introduces a means for users to directly search for definitions of terms within the R environment.
Author: Obinna Obianom [aut, cre]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

Diff between r2dictionary versions 0.2 dated 2023-07-16 and 0.3 dated 2025-03-03

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Package pdftools updated to version 3.5.0 with previous version 3.4.1 dated 2024-09-20

Title: Text Extraction, Rendering and Converting of PDF Documents
Description: Utilities based on 'libpoppler' <https://poppler.freedesktop.org> for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents into PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between pdftools versions 3.4.1 dated 2024-09-20 and 3.5.0 dated 2025-03-03

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Package maicChecks updated to version 0.2.0 with previous version 0.1.2 dated 2022-01-04

Title: Exact Matching and Matching-Adjusted Indirect Comparison (MAIC)
Description: The second version (0.2.0) contains implementation for exact matching which is an alternative to propensity score matching (see Glimm & Yau (2025)). The initial version (0.1.2) contains a collection of easy-to-implement tools for checking whether a MAIC can be conducted, as well as an alternative way of calculating weights (see Glimm & Yau (2021) <doi:10.1002/pst.2210>.)
Author: Lillian Yau [aut, cre], Ekkehard Glimm [aut], Xinlei Deng [aut]
Maintainer: Lillian Yau <maicChecks@gmail.com>

Diff between maicChecks versions 0.1.2 dated 2022-01-04 and 0.2.0 dated 2025-03-03

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Package WoodSimulatR updated to version 0.6.2 with previous version 0.6.1 dated 2023-12-04

Title: Generate Simulated Sawn Timber Strength Grading Data
Description: Tools for generating simulated sawn timber strength grading data with a main focus on statistical simulation based on covariance matrices. Simulation data for Norway spruce sawn timber from Austria and reference values of means and standard deviations of grade determining properties from literature for a number of European countries are provided, as well.
Author: Andreas Weidenhiller [cre, aut] , Anton Wegscheider [aut]
Maintainer: Andreas Weidenhiller <a.weidenhiller@holzforschung.at>

Diff between WoodSimulatR versions 0.6.1 dated 2023-12-04 and 0.6.2 dated 2025-03-03

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Package locuszoomr updated to version 0.3.8 with previous version 0.3.7 dated 2025-02-10

Title: Gene Locus Plot with Gene Annotations
Description: Publication-ready regional gene locus plots similar to those produced by the web interface 'LocusZoom' <https://my.locuszoom.org>, but running locally in R. Genetic or genomic data with gene annotation tracks are plotted via R base graphics, 'ggplot2' or 'plotly', allowing flexibility and easy customisation including laying out multiple locus plots on the same page. It uses the 'LDlink' API <https://ldlink.nih.gov/?tab=apiaccess> to query linkage disequilibrium data from the 1000 Genomes Project and can overlay this on plots <doi:10.1093/bioadv/vbaf006>.
Author: Myles Lewis [aut, cre]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between locuszoomr versions 0.3.7 dated 2025-02-10 and 0.3.8 dated 2025-03-03

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Package ade4TkGUI updated to version 0.3.3 with previous version 0.3-1 dated 2020-12-03

Title: 'ade4' Tcl/Tk Graphical User Interface
Description: A Tcl/Tk GUI for some basic functions in the 'ade4' package.
Author: Jean Thioulouse [aut] , Stephane Dray [aut] , Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between ade4TkGUI versions 0.3-1 dated 2020-12-03 and 0.3.3 dated 2025-03-03

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Package ibdsim2 updated to version 2.2.0 with previous version 2.1.1 dated 2024-09-08

Title: Simulation of Chromosomal Regions Shared by Family Members
Description: Simulation of segments shared identical-by-descent (IBD) by pedigree members. Using sex specific recombination rates along the human genome (Halldorsson et al. (2019) <doi:10.1126/science.aau1043>), phased chromosomes are simulated for all pedigree members. Applications include calculation of realised relatedness coefficients and IBD segment distributions. 'ibdsim2' is part of the 'pedsuite' collection of packages for pedigree analysis. A detailed presentation of the 'pedsuite', including a separate chapter on 'ibdsim2', is available in the book 'Pedigree analysis in R' (Vigeland, 2021, ISBN:9780128244302). A 'Shiny' app for visualising and comparing IBD distributions is available at <https://magnusdv.shinyapps.io/ibdsim2-shiny/>.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between ibdsim2 versions 2.1.1 dated 2024-09-08 and 2.2.0 dated 2025-03-03

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Package echelon updated to version 0.3.0 with previous version 0.2.0 dated 2024-02-08

Title: The Echelon Analysis and the Detection of Spatial Clusters using Echelon Scan Method
Description: Functions for the echelon analysis proposed by Myers et al. (1997) <doi:10.1023/A:1018518327329>, and the detection of spatial clusters using echelon scan method proposed by Kurihara (2003) <doi:10.20551/jscswabun.15.2_171>.
Author: Fumio Ishioka [aut, cre]
Maintainer: Fumio Ishioka <fishioka@okayama-u.ac.jp>

Diff between echelon versions 0.2.0 dated 2024-02-08 and 0.3.0 dated 2025-03-03

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New package rconf with initial version 0.1.2
Package: rconf
Title: Minimal and Lightweight Configuration Tool
Version: 0.1.2
Description: Minimal and lightweight configuration tool that provides basic support for 'YAML' configuration files without requiring additional package dependencies. It offers a simple method for loading and parsing configuration settings, making it ideal for quick prototypes and lightweight projects.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-28 07:52:01 UTC; Bach
Author: Yaoxiang Li [cre, aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2025-03-03 12:10:03 UTC

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New package mbX with initial version 0.1.3
Package: mbX
Title: A Comprehensive Microbiome Data Processing Pipeline
Version: 0.1.3
Description: Provides tools for cleaning, processing, and preparing microbiome sequencing data (e.g., 16S rRNA) for downstream analysis. Supports CSV, TXT, and 'Excel' file formats. The main function, ezclean(), automates microbiome data transformation, including format validation, transposition, numeric conversion, and metadata integration. Also ensures efficient handling of taxonomic levels, resolves duplicated taxa entries, and outputs a well-structured, analysis-ready dataset.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: tools, readxl, openxlsx, dplyr, tidyr, ggplot2
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-02-28 08:43:12 UTC; ugalab4
Author: Utsav Lamichhane [aut, cre]
Maintainer: Utsav Lamichhane <utsav.lamichhane@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-03 12:10:11 UTC

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New package IndexNumberTools with initial version 1.1
Package: IndexNumberTools
Title: Working with Index Numbers
Version: 1.1
Description: A set of utilities for manipulating index numbers series including chain-linking, re-referencing, and computing growth rates.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: methods, stats
Depends: R (>= 4.1.0)
URL: https://mserrano-ine.github.io/IndexNumberTools/, https://github.com/mserrano-ine/IndexNumberTools
Suggests: knitr, rmarkdown, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-27 20:01:36 UTC; U853802
Author: Miguel Serrano [aut, cre]
Maintainer: Miguel Serrano <miguel.serrano.martin@ine.es>
Repository: CRAN
Date/Publication: 2025-03-03 12:10:18 UTC

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New package deltatest with initial version 0.1.0
Package: deltatest
Title: Statistical Hypothesis Testing Using the Delta Method
Version: 0.1.0
Description: Statistical hypothesis testing using the Delta method as proposed by Deng et al. (2018) <doi:10.1145/3219819.3219919>. This method replaces the standard variance estimation formula in the Z-test with an approximate formula derived via the Delta method, which can account for within-user correlation.
License: MIT + file LICENSE
URL: https://github.com/hoxo-m/deltatest
BugReports: https://github.com/hoxo-m/deltatest/issues
Depends: R (>= 4.1.0)
Imports: glue, R6, rlang, stats
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-02-28 08:33:55 UTC; akagi
Author: Koji Makiyama [aut, cre, cph], Shinichi Takayanagi [med]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-03 12:10:15 UTC

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New package sakura with initial version 0.1.0
Package: sakura
Title: Extension to R Serialization
Version: 0.1.0
Description: Extends the functionality of R serialization by augmenting the built-in reference hook system. This enhanced implementation allows optimal, one-pass integrated serialization that combines R serialization with third-party serialization methods. Facilitates the serialization of even complex R objects, which contain non-system reference objects, such as those accessed via external pointers, for use in parallel and distributed computing.
License: GPL (>= 3)
BugReports: https://github.com/shikokuchuo/sakura/issues
URL: https://shikokuchuo.net/sakura/, https://github.com/shikokuchuo/sakura/
Encoding: UTF-8
Depends: R (>= 3.5)
Suggests: arrow
NeedsCompilation: yes
Packaged: 2025-02-27 10:14:59 UTC; cg334
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>
Repository: CRAN
Date/Publication: 2025-03-03 11:40:02 UTC

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New package rmsMD with initial version 0.1.1
Package: rmsMD
Title: Output Results from 'rms' Models for Medical Journals
Version: 0.1.1
Description: This takes the output of models performed using the 'rms' package and returns a dataframe with the results. This output is in the format required by medical journals. For example for cox regression models, the hazard ratios, their 95% confidence intervals, and p values will be provided. There are additional functions for outputs when the model included restricted cubic spline (RCS) terms. Models using imputed data (eg from aregimpute()) and fitted used fit.mult.impute() can also be processed. The dataframe which is returned can easily be turned into a publication ready table with packages 'flextable' and 'officer'.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/sjtingle/rmsMD
BugReports: https://github.com/sjtingle/rmsMD/issues
Imports: rms
Suggests: knitr, rmarkdown, devtools, officer, flextable, dplyr, MASS, testthat (>= 3.0.0), survival
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-27 10:00:53 UTC; samueltingle
Author: Samuel Tingle [aut, cre], Georgios Kourounis [aut]
Maintainer: Samuel Tingle <samjamestingle@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-03 11:30:04 UTC

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New package penetrance with initial version 0.1.0
Package: penetrance
Title: Methods for Penetrance Estimation in Family-Based Studies
Version: 0.1.0
Depends: R (>= 3.5.0)
Imports: clipp, stats, parallel, MASS, kinship2 (>= 1.8.5), graphics, grDevices
Description: Implements statistical methods for estimating disease penetrance in family-based studies. Penetrance refers to the probability of disease§ manifestation in individuals carrying specific genetic variants. The package provides tools for age-specific penetrance estimation, handling missing data, and accounting for ascertainment bias in family studies. Cite as: Kubista, N., Braun, D. & Parmigiani, G. (2024) <doi:10.48550/arXiv.2411.18816>.
License: GPL-3
URL: https://github.com/nicokubi/penetrance, https://nicokubi.github.io/penetrance/
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
SystemRequirements: C++11
Suggests: knitr, rmarkdown, scales, ggplot2, roxygen2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-02-26 22:15:48 UTC; nicolaskubista
Author: Nicolas Kubista [aut, cre], BayesMendel Lab [aut]
Maintainer: Nicolas Kubista <bmendel@jimmy.harvard.edu>
Repository: CRAN
Date/Publication: 2025-03-03 11:40:05 UTC

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New package maths.genealogy with initial version 0.1.1
Package: maths.genealogy
Title: Mathematics PhD Genealogy Data and Plotting
Version: 0.1.1
Description: Query, extract, and plot genealogical data from The Mathematics Genealogy Project <https://mathgenealogy.org/>. Data is gathered from the WebSocket server run by the 'geneagrapher-core' project <https://github.com/davidalber/geneagrapher-core>.
URL: https://genealogy.louisaslett.com/, https://github.com/louisaslett/maths.genealogy
BugReports: https://github.com/louisaslett/maths.genealogy/issues
Depends: R (>= 4.2.0)
Imports: checkmate, cli, httr2, jsonlite, later, rlang, rvest, stats, websocket
Suggests: DiagrammeR, DiagrammeRsvg, ggenealogy, ggplot2, knitr, rmarkdown, rsvg, svgPanZoom
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-27 23:10:48 UTC; louis
Author: Louis Aslett [aut, cre]
Maintainer: Louis Aslett <louis.aslett@durham.ac.uk>
Repository: CRAN
Date/Publication: 2025-03-03 11:50:03 UTC

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New package CMIP6VisR with initial version 1.0.0
Package: CMIP6VisR
Title: Visualization and Analysis of Coupled Model Intercomparison Project, Phase-6 (CMIP6) Hydroclimatic Data
Version: 1.0.0
Date: 2025-02-27
Description: Data manipulation for Coupled Model Intercomparison Project, Phase-6 (CMIP6) hydroclimatic data. The files are archived in the Federated Research Data Repository (FRDR) (Rajulapati et al, 2024, <doi:10.20383/103.0829>). The data set is described in Abdelmoaty et al. (2025, <doi:10.1038/s41597-025-04396-z>).
Depends: R (>= 3.5.0)
Imports: terra, stringr
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Author: Simon Michael Papalexiou [aut], Heba Abdelmoaty [aut], Konstantinos Andreadis [aut], Kevin Shook [ctb, cre]
Maintainer: Kevin Shook <kshook@kshook.ca>
License: GPL-3
URL: https://github.com/TycheLab/CMIP6VisR
NeedsCompilation: no
Packaged: 2025-02-28 00:23:40 UTC; kevin
Repository: CRAN
Date/Publication: 2025-03-03 11:50:43 UTC

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New package Certara.ModelResults with initial version 3.0.1
Package: Certara.ModelResults
Title: Generate Diagnostics for Pharmacometric Models Using 'shiny'
Version: 3.0.1
Description: Utilize the 'shiny' interface to generate Goodness of Fit (GOF) plots and tables for Non-Linear Mixed Effects (NLME / NONMEM) pharmacometric models. From the interface, users can customize model diagnostics and generate the underlying R code to reproduce the diagnostic plots and tables outside of the 'shiny' session. Model diagnostics can be included in a 'rmarkdown' document and rendered to desired output format.
Depends: R (>= 4.0)
License: LGPL-3
URL: https://certara.github.io/R-model-results/
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), Certara.RsNLME
Imports: colourpicker, shinyAce, shinymeta, Certara.Xpose.NLME, xpose, dplyr, flextable, shinyjqui, grDevices, ggplot2, plotly, magrittr, scales, shiny (>= 1.7.0), shinyjs, shinyWidgets, shinyTree (>= 0.3.1), sortable, tidyr, rlang, bslib (>= 0.7.0)
NeedsCompilation: no
Packaged: 2025-02-27 23:19:17 UTC; jcraig
Author: James Craig [aut, cre], Shuhua Hu [ctb], Mike Talley [aut], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2025-03-03 11:50:24 UTC

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Package rcheology updated to version 4.4.3.0 with previous version 4.4.2.0 dated 2024-11-11

Title: Data on Base and Recommended Packages for Current and Previous Versions of R
Description: Provides a dataset of functions in all base and recommended packages of R versions 0.50 onwards.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package MR.RGM updated to version 0.0.4 with previous version 0.0.3 dated 2024-09-18

Title: Multivariate Bidirectional Mendelian Randomization Networks
Description: Addressing a central challenge encountered in Mendelian randomization (MR) studies, where MR primarily focuses on discerning the effects of individual exposures on specific outcomes and establishes causal links between them. Using a network-based methodology, the intricacy involving interdependent outcomes due to numerous factors has been tackled through this routine. Based on Ni et al. (2018) <doi:10.1214/17-BA1087>, 'MR.RGM' extends to a broader exploration of the causal landscape by leveraging on network structures and involves the construction of causal graphs that capture interactions between response variables and consequently between responses and instrument variables. The resulting Graph visually represents these causal connections, showing directed edges with effect sizes labeled. 'MR.RGM' facilitates the navigation of various data availability scenarios effectively by accommodating three input formats, i.e., individual-level data and two types of summary-level data. In [...truncated...]
Author: Bitan Sarkar [aut, cre], Yang Ni [aut]
Maintainer: Bitan Sarkar <bitan@tamu.edu>

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Package learner updated to version 1.0.0 with previous version 0.1.0 dated 2025-01-08

Title: Latent Space-Based Transfer Learning
Description: Implements transfer learning methods for low-rank matrix estimation. These methods leverage similarity in the latent row and column spaces between the source and target populations to improve estimation in the target population. The methods include the LatEnt spAce-based tRaNsfer lEaRning (LEARNER) method and the direct projection LEARNER (D-LEARNER) method described by McGrath et al. (2024) <doi:10.48550/arXiv.2412.20605>.
Author: Sean McGrath [aut, cre] , Ryan ODea [aut], Cenhao Zhu [aut], Rui Duan [aut]
Maintainer: Sean McGrath <sean.mcgrath514@gmail.com>

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Package keras3 updated to version 1.3.0 with previous version 1.2.0 dated 2024-09-05

Title: R Interface to 'Keras'
Description: Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both CPU and GPU devices.
Author: Tomasz Kalinowski [aut, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], Francois Chollet [aut, cph], Posit Software, PBC [cph, fnd], Google [cph, fnd], Yuan Tang [ctb, cph] , Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigri [...truncated...]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package eventglm updated to version 1.4.5 with previous version 1.2.2 dated 2022-04-26

Title: Regression Models for Event History Outcomes
Description: A user friendly, easy to understand way of doing event history regression for marginal estimands of interest, including the cumulative incidence and the restricted mean survival, using the pseudo observation framework for estimation. For a review of the methodology, see Andersen and Pohar Perme (2010) <doi:10.1177/0962280209105020> or Sachs and Gabriel (2022) <doi:10.18637/jss.v102.i09>. The interface uses the well known formulation of a generalized linear model and allows for features including plotting of residuals, the use of sampling weights, and corrected variance estimation.
Author: Michael C Sachs [aut, cre], Erin E Gabriel [aut], Morten Overgaard [ctb] , Thomas A Gerds [ctb] , Terry Therneau [ctb]
Maintainer: Michael C Sachs <sachsmc@gmail.com>

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Package callback updated to version 0.1.3 with previous version 0.1.1 dated 2024-07-13

Title: Computes Statistics from Discrimination Experimental Data
Description: In discrimination experiments candidates are sent on the same test (e.g. job, house rental) and one examines whether they receive the same outcome. The number of non negative answers are first examined in details looking for outcome differences. Then various statistics are computed. This package can also be used for analyzing the results from random experiments.
Author: Emmanuel Duguet [aut, cre] , David Gray [ctb] , Loic du Parquet [dtc], Yannick L'Horty [ctb] , Remi Le Gall [dtc] , Noam Leandri [dtc], Pascale Petit [ctb] , Florent Sari [ctb]
Maintainer: Emmanuel Duguet <emmanuel.duguet@u-pec.fr>

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Package CAESAR.Suite updated to version 0.2.0 with previous version 0.1.0 dated 2024-09-16

Title: CAESAR: a Cross-Technology and Cross-Resolution Framework for Spatial Omics Annotation
Description: Biotechnology in spatial omics has advanced rapidly over the past few years, enhancing both throughput and resolution. However, existing annotation pipelines in spatial omics predominantly rely on clustering methods, lacking the flexibility to integrate extensive annotated information from single-cell RNA sequencing (scRNA-seq) due to discrepancies in spatial resolutions, species, or modalities. Here we introduce the CAESAR suite, an open-source software package that provides image-based spatial co-embedding of locations and genomic features. It uniquely transfers labels from scRNA-seq reference, enabling the annotation of spatial omics datasets across different technologies, resolutions, species, and modalities, based on the conserved relationship between signature genes and cells/locations at an appropriate level of granularity. Notably, CAESAR enriches location-level pathways, allowing for the detection of gradual biological pathway activation within spatially defined domain types. [...truncated...]
Author: Xiao Zhang [aut, cre], Wei Liu [aut], Jin Liu [aut]
Maintainer: Xiao Zhang <zhangxiao1994@cuhk.edu.cn>

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Package sfislands updated to version 1.1.2 with previous version 1.1.0 dated 2025-03-01

Title: Streamlines the Process of Fitting Areal Spatial Models
Description: Helpers for addressing the issue of disconnected spatial units. It allows for convenient adding and removal of neighbourhood connectivity between areal units prior to modelling, with the visual aid of maps. Post-modelling, it reduces the human workload for extracting, tidying and mapping predictions from areal models.
Author: Kevin Horan [aut, cre, cph] , Katarina Domijan [aut, ths] , Chris Brunsdon [aut, ths]
Maintainer: Kevin Horan <kevin.horan.2021@mumail.ie>

Diff between sfislands versions 1.1.0 dated 2025-03-01 and 1.1.2 dated 2025-03-03

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Package PanelMatch updated to version 3.0.0 with previous version 2.2.0 dated 2024-06-04

Title: Matching Methods for Causal Inference with Time-Series Cross-Sectional Data
Description: Implements a set of methodological tools that enable researchers to apply matching methods to time-series cross-sectional data. Imai, Kim, and Wang (2023) <http://web.mit.edu/insong/www/pdf/tscs.pdf> proposes a nonparametric generalization of the difference-in-differences estimator, which does not rely on the linearity assumption as often done in practice. Researchers first select a method of matching each treated observation for a given unit in a particular time period with control observations from other units in the same time period that have a similar treatment and covariate history. These methods include standard matching methods based on propensity score and Mahalanobis distance, as well as weighting methods. Once matching and refinement is done, treatment effects can be estimated with standard errors. The package also offers diagnostics for researchers to assess the quality of their results.
Author: In Song Kim [aut, cre], Adam Rauh [aut], Erik Wang [aut], Kosuke Imai [aut]
Maintainer: In Song Kim <insong@mit.edu>

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More information about PanelMatch at CRAN
Permanent link


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