Tue, 21 Jan 2025

Package rsi updated to version 0.3.2 with previous version 0.3.1 dated 2024-10-22

Title: Efficiently Retrieve and Process Satellite Imagery
Description: Downloads spatial data from spatiotemporal asset catalogs ('STAC'), computes standard spectral indices from the Awesome Spectral Indices project (Montero et al. (2023) <doi:10.1038/s41597-023-02096-0>) against raster data, and glues the outputs together into predictor bricks. Methods focus on interoperability with the broader spatial ecosystem; function arguments and outputs use classes from 'sf' and 'terra', and data downloading functions support complex 'CQL2' queries using 'rstac'.
Author: Michael Mahoney [aut, cre] , Felipe Carvalho [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/636>), Michael Sumner [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/636>), Permian Global [cph, f [...truncated...]
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

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Package spatstat.linnet updated to version 3.2-5 with previous version 3.2-3 dated 2024-11-19

Title: Linear Networks Functionality of the 'spatstat' Family
Description: Defines types of spatial data on a linear network and provides functionality for geometrical operations, data analysis and modelling of data on a linear network, in the 'spatstat' family of packages. Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks. Data types defined on a network include point patterns, pixel images, functions, and tessellations. Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Mont [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Greg McSwiggan [aut, cph], Tilman Davies [ctb, cph], Mehdi Moradi [ctb, cph], Suman Rakshit [ctb, cph], Ottmar Cronie [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package ggfixest updated to version 0.2.0 with previous version 0.1.0 dated 2023-12-14

Title: Dedicated 'ggplot2' Methods for 'fixest' Objects
Description: Provides 'ggplot2' equivalents of fixest::coefplot() and fixest::iplot(), for producing nice coefficient plots and interaction plots. Enables some additional functionality and convenience features, including grouped multi-'fixest' object faceting and programmatic updates to existing plots (e.g., themes and aesthetics).
Author: Grant McDermott [aut, cre] , Laurent Berge [ctb], Teun van den Brand [ctb]
Maintainer: Grant McDermott <gmcd@amazon.com>

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Package clock updated to version 0.7.2 with previous version 0.7.1 dated 2024-07-18

Title: Date-Time Types and Tools
Description: Provides a comprehensive library for date-time manipulations using a new family of orthogonal date-time classes (durations, time points, zoned-times, and calendars) that partition responsibilities so that the complexities of time zones are only considered when they are really needed. Capabilities include: date-time parsing, formatting, arithmetic, extraction and updating of components, and rounding.
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package meta updated to version 8.0-2 with previous version 8.0-1 dated 2024-10-31

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - common effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - three-level meta-analysis model; - generalised linear mixed model; - logistic regression with penalised likelihood for rare events; - Hartung-Knapp method for random effects model; - Kenward-Roger method for random effects model; - prediction interval; - statistical tests for funnel plot asymmetry; - trim-and-fill method to evaluate bias in meta-analysis; - meta-regression; - cumulative meta-analysis and leave-one-out meta-analysis; - import data from 'RevMan 5'; - produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package contentid updated to version 0.0.19 with previous version 0.0.18 dated 2023-10-23

Title: An Interface for Content-Based Identifiers
Description: An interface for creating, registering, and resolving content-based identifiers for data management. Content-based identifiers rely on the 'cryptographic' hashes to refer to the files they identify, thus, anyone possessing the file can compute the identifier using a well-known standard algorithm, such as 'SHA256'. By registering a URL at which the content is accessible to a public archive (such as Hash Archive) or depositing data in a scientific repository such 'Zenodo', 'DataONE' or 'SoftwareHeritage', the content identifier can serve many functions typically associated with A Digital Object Identifier ('DOI'). Unlike location-based identifiers like 'DOIs', content-based identifiers permit the same content to be registered in many locations.
Author: Carl Boettiger [aut, cre] , Jorrit Poelen [aut] , NSF OAC 1839201 [fnd]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package survPen updated to version 2.0.1 with previous version 2.0.0 dated 2024-12-02

Title: Multidimensional Penalized Splines for (Excess) Hazard Models, Relative Mortality Ratio Models and Marginal Intensity Models
Description: Fits (excess) hazard, relative mortality ratio or marginal intensity models with multidimensional penalized splines allowing for time-dependent effects, non-linear effects and interactions between several continuous covariates. In survival and net survival analysis, in addition to modelling the effect of time (via the baseline hazard), one has often to deal with several continuous covariates and model their functional forms, their time-dependent effects, and their interactions. Model specification becomes therefore a complex problem and penalized regression splines represent an appealing solution to that problem as splines offer the required flexibility while penalization limits overfitting issues. Current implementations of penalized survival models can be slow or unstable and sometimes lack some key features like taking into account expected mortality to provide net survival and excess hazard estimates. In contrast, survPen provides an automated, fast, and stable implementation (than [...truncated...]
Author: Mathieu Fauvernier [aut, cre], Laurent Roche [aut], Laurent Remontet [aut], Zoe Uhry [ctb], Nadine Bossard [ctb], Elsa Coz [ctb]
Maintainer: Mathieu Fauvernier <mathieu.fauvernier@gmail.com>

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Package hcci updated to version 1.2.0 with previous version 1.1.0 dated 2024-04-01

Title: Interval Estimation of Linear Models with Heteroskedasticity
Description: Calculates the interval estimates for the parameters of linear models with heteroscedastic regression using bootstrap - (Wild Bootstrap) and double bootstrap-t (Wild Bootstrap). It is also possible to calculate confidence intervals using the percentile bootstrap and percentile bootstrap double. The package can calculate consistent estimates of the covariance matrix of the parameters of linear regression models with heteroscedasticity of unknown form. The package also provides a function to consistently calculate the covariance matrix of the parameters of linear models with heteroscedasticity of unknown form. The bootstrap methods exported by the package are based on the master's thesis of the first author, available at <https://raw.githubusercontent.com/prdm0/hcci/master/references/dissertacao_mestrado.pdf>. The hcci package in previous versions was cited in the book VINOD, Hrishikesh D. Hands-on Intermediate Econometrics Using R: Templates for Learning Quantitative Methods and R [...truncated...]
Author: Pedro Rafael Diniz Marinho [aut, cre], Francisco Cribari Neto [aut, ctb]
Maintainer: Pedro Rafael Diniz Marinho <pedro.rafael.marinho@gmail.com>

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Package acepack updated to version 1.5.0 with previous version 1.4.2 dated 2023-08-22

Title: ACE and AVAS for Selecting Multiple Regression Transformations
Description: Two nonparametric methods for multiple regression transform selection are provided. The first, Alternative Conditional Expectations (ACE), is an algorithm to find the fixed point of maximal correlation, i.e. it finds a set of transformed response variables that maximizes R^2 using smoothing functions [see Breiman, L., and J.H. Friedman. 1985. "Estimating Optimal Transformations for Multiple Regression and Correlation". Journal of the American Statistical Association. 80:580-598. <doi:10.1080/01621459.1985.10478157>]. Also included is the Additivity Variance Stabilization (AVAS) method which works better than ACE when correlation is low [see Tibshirani, R.. 1986. "Estimating Transformations for Regression via Additivity and Variance Stabilization". Journal of the American Statistical Association. 83:394-405. <doi:10.1080/01621459.1988.10478610>]. A good introduction to these two methods is in chapter 16 of Frank Harrel's "Regression Modeling Strategies" in the Springer Serie [...truncated...]
Author: Phil Spector [aut], Jerome Friedman [aut], Robert Tibshirani [aut], Thomas Lumley [aut], Shawn Garbett [cre, aut] , Jonathan Baron [aut]
Maintainer: Shawn Garbett <shawn.garbett@vumc.org>

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Package term updated to version 0.3.6 with previous version 0.3.5 dated 2022-09-29

Title: Create, Manipulate and Query Parameter Terms
Description: Creates, manipulates, queries and repairs vectors of parameter terms. Parameter terms are the labels used to reference values in vectors, matrices and arrays. They represent the names in coefficient tables and the column names in 'mcmc' and 'mcmc.list' objects.
Author: Joe Thorley [aut, cre] , Kirill Mueller [aut] , Ayla Pearson [ctb] , Evan Amies-Galonski [ctb] , Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package nc updated to version 2025.1.21 with previous version 2024.9.20 dated 2024-09-20

Title: Named Capture to Data Tables
Description: User-friendly functions for extracting a data table (row for each match, column for each group) from non-tabular text data using regular expressions, and for melting columns that match a regular expression. Patterns are defined using a readable syntax that makes it easy to build complex patterns in terms of simpler, re-usable sub-patterns. Named R arguments are translated to column names in the output; capture groups without names are used internally in order to provide a standard interface to three regular expression 'C' libraries ('PCRE', 'RE2', 'ICU'). Output can also include numeric columns via user-specified type conversion functions.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package GeDS updated to version 0.2.5 with previous version 0.2.4 dated 2024-09-12

Title: Geometrically Designed Spline Regression
Description: Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geometrically Designed (GeD) Splines. GeDS regression is a non-parametric method inspired by geometric principles, for fitting spline regression models with variable knots in one or two independent variables. It efficiently estimates the number of knots and their positions, as well as the spline order, assuming the response variable follows a distribution from the exponential family. GeDS models integrate the broader category of Generalized (Non-)Linear Models, offering a flexible approach to modeling complex relationships. A description of the method can be found in Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2023) <doi:10.1016/j.amc.2022.127493>. Further extending its capabilities, GeDS's implementation includes Generalized Additive Models (GAM) and Functional Gradient Boosting (FGB), enabling versatile multivariate predictor modeling, as discuss [...truncated...]
Author: Dimitrina S. Dimitrova [aut], Vladimir K. Kaishev [aut], Andrea Lattuada [aut], Emilio L. Saenz Guillen [aut, cre], Richard J. Verrall [aut]
Maintainer: Emilio L. Saenz Guillen <Emilio.Saenz-Guillen@bayes.city.ac.uk>

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Package atime updated to version 2025.1.21 with previous version 2024.11.29 dated 2024-12-02

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package ttdo updated to version 0.0.10 with previous version 0.0.9 dated 2023-02-22

Title: Extend 'tinytest' with 'diffobj' and 'tinysnapshot'
Description: The 'tinytest' package offers a light-weight zero-dependency unit-testing framework to which this package adds support via the 'diffobj' package for 'diff'-style textual comparison of R objects, as well as via 'tinysnapshot' package for visual differences in plots.
Author: Dirk Eddelbuettel [aut, cre] , Alton Barbehenn [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package BAwiR updated to version 1.3.3 with previous version 1.3.2 dated 2024-01-09

Title: Analysis of Basketball Data
Description: Collection of tools to work with European basketball data. Functions available are related to friendly web scraping, data management and visualization. Data were obtained from <https://www.euroleaguebasketball.net/euroleague/>, <https://www.euroleaguebasketball.net/eurocup/> and <https://www.acb.com/>, following the instructions of their respectives robots.txt files, when available. Box score data are available for the three leagues. Play-by-play data are also available for the Spanish league. Methods for analysis include a population pyramid, 2D plots, circular plots of players' percentiles, plots of players' monthly/yearly stats, team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games, maps of nationalities, combinations of lineups, possessions-related variables, timeouts, performance by periods, personal fouls and offensive rebounds. Please see Vinue (2020) <doi:10.1089/big.2018.0124> and Vinue (2024) [...truncated...]
Author: Guillermo Vinue [aut, cre]
Maintainer: Guillermo Vinue <guillermo.vinue@uv.es>

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Package tinysnapshot updated to version 0.0.8 with previous version 0.0.7 dated 2025-01-13

Title: Snapshots for Unit Tests using the 'tinytest' Framework
Description: Snapshots for unit tests using the 'tinytest' framework for R. Includes expectations to test base R and 'ggplot2' plots as well as console output from print().
Author: Vincent Arel-Bundock [aut, cre, cph]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package rjdworkspace updated to version 1.1.9 with previous version 1.1.8 dated 2025-01-09

Title: Manipulate 'JDemetra+' Workspaces
Description: Set of tools to manipulate the 'JDemetra+' workspaces. Based on the 'RJDemetra' package (which interfaces with version 2 of the 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks). This package provides access to additional workspace manipulation functions such as metadata manipulation, raw paths and wrangling of several workspaces simultaneously. These additional functionalities are useful as part of a CVS data production chain.
Author: Tanguy Barthelemy [aut, cre, art], Alain Quartier-la-Tente [aut] , Institut national de la statistique et des etudes economiques [cph] , Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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Package HDANOVA updated to version 0.8.2 with previous version 0.8.1 dated 2024-10-16

Title: High-Dimensional Analysis of Variance
Description: Functions and datasets to support Smilde, Marini, Westerhuis and Liland (2025, ISBN: 978-1-394-21121-0) "Analysis of Variance for High-Dimensional Data - Applications in Life, Food and Chemical Sciences". This implements and imports a collection of methods for HD-ANOVA data analysis with common interfaces, result- and plotting functions, multiple real data sets and four vignettes covering a range different applications.
Author: Kristian Hovde Liland [aut, cre]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package bullseye updated to version 0.1.1 with previous version 0.1.0 dated 2024-08-28

Title: Visualising Multiple Pairwise Variable Correlations and Other Scores
Description: We provide a tidy data structure and visualisations for multiple or grouped variable correlations, general association measures scagnostics and other pairwise scores suitable for numerical, ordinal and nominal variables. Supported measures include distance correlation, maximal information, ace correlation, Kendall's tau, and polychoric correlation.
Author: Amit Chinwan [aut], Catherine Hurley [aut, cre]
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>

Diff between bullseye versions 0.1.0 dated 2024-08-28 and 0.1.1 dated 2025-01-21

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Package animint2 updated to version 2025.1.21 with previous version 2024.11.2 dated 2024-11-05

Title: Animated Interactive Grammar of Graphics
Description: Functions are provided for defining animated, interactive data visualizations in R code, and rendering on a web page. The 2018 Journal of Computational and Graphical Statistics paper, <doi:10.1080/10618600.2018.1513367> describes the concepts implemented.
Author: Toby Hocking [aut, cre] , Biplab Sutradhar [ctb] , Hadley Wickham [aut] , Winston Chang [aut] , RStudio [cph] , Nicholas Lewin-Koh [aut] , Martin Maechler [aut] , Randall Prium [aut] , Susan VanderPlas [aut] , Carson Sievert [aut] , Kevin Ferris [aut [...truncated...]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package bplsr updated to version 1.0.3 with previous version 1.0.2 dated 2025-01-13

Title: Bayesian partial least squares regression
Description: Fits the Bayesian partial least squares regression model introduced in Urbas et al. (2024) <doi:10.1214/24-AOAS1947>. Suitable for univariate and multivariate regression with high-dimensional data.
Author: Szymon Urbas [aut, cre], Pierre Lovera [ctb], Robert Daly [ctb], Alan O'Riordan [ctb], Donagh Berry [ctb], Isobel Claire Gormley [ctb]
Maintainer: Szymon Urbas <szymon.urbas@mu.ie>

Diff between bplsr versions 1.0.2 dated 2025-01-13 and 1.0.3 dated 2025-01-21

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Package alcyon updated to version 0.7.0 with previous version 0.6.0 dated 2024-12-22

Title: Spatial Network Analysis
Description: Interface package for 'sala', the spatial network analysis library from the 'depthmapX' software application. The R parts of the code are based on the 'rdepthmap' package. Allows for the analysis of urban and building-scale networks and provides metrics and methods usually found within the Space Syntax domain. Methods in this package are described by K. Al-Sayed, A. Turner, B. Hillier, S. Iida and A. Penn (2014) "Space Syntax methodology", and also by A. Turner (2004) <https://discovery.ucl.ac.uk/id/eprint/2651> "Depthmap 4: a researcher's handbook".
Author: Petros Koutsolampros [cre, aut] , Fani Kostourou [ctb] , Kimon Krenz [ctb] , Alasdair Turner [ctb] , Tasos Varoudis [ctb] , Christian Sailer [ctb] , Eva Friedrich [ctb] , University College London [fnd, cph] , Spacelab UK [fnd]
Maintainer: Petros Koutsolampros <r-devel@pklampros.net>

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Package rix updated to version 0.14.4 with previous version 0.14.3 dated 2025-01-10

Title: Reproducible Data Science Environments with 'Nix'
Description: Simplifies the creation of reproducible data science environments using the 'Nix' package manager, as described in Dolstra (2006) <ISBN 90-393-4130-3>. The included `rix()` function generates a complete description of the environment as a `default.nix` file, which can then be built using 'Nix'. This results in project specific software environments with pinned versions of R, packages, linked system dependencies, and other tools. Additional helpers make it easy to run R code in 'Nix' software environments for testing and production.
Author: Bruno Rodrigues [aut, cre] , Philipp Baumann [aut] , David Watkins [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/625>), Jacob Wujiciak-Jens [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/62 [...truncated...]
Maintainer: Bruno Rodrigues <bruno@brodrigues.co>

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Package HMDHFDplus updated to version 2.0.6 with previous version 2.0.3 dated 2023-06-20

Title: Read Human Mortality Database and Human Fertility Database Data from the Web
Description: Utilities for reading data from the Human Mortality Database (<https://www.mortality.org>), Human Fertility Database (<https://www.humanfertility.org>), and similar databases from the web or locally into an R session as data.frame objects. These are the two most widely used sources of demographic data to study basic demographic change, trends, and develop new demographic methods. Other supported databases at this time include the Human Fertility Collection (<https://www.fertilitydata.org>), The Japanese Mortality Database (<https://www.ipss.go.jp/p-toukei/JMD/index-en.html>), and the Canadian Human Mortality Database (<http://www.bdlc.umontreal.ca/chmd/>). Arguments and data are standardized.
Author: Tim Riffe [aut, cre], Carl Boe [aut], Jason Hilton [aut], Josh Goldstein [ctb], Stephen Holzman [ctb], Sam Hyun Yoo [ctb]
Maintainer: Tim Riffe <tim.riffe@gmail.com>

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Package GitStats updated to version 2.2.1 with previous version 2.2.0 dated 2025-01-14

Title: Standardized Git Repository Data
Description: Obtain standardized data from multiple 'Git' services, including 'GitHub' and 'GitLab'. Designed to be 'Git' service-agnostic, this package assists teams with activities spread across various 'Git' platforms by providing a unified way to access repository data.
Author: Maciej Banas [aut, cre], Kamil Koziej [aut], Karolina Marcinkowska [aut], Matt Secrest [aut]
Maintainer: Maciej Banas <banasmaciek@gmail.com>

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Package rvinecopulib updated to version 0.7.1.1.0 with previous version 0.6.3.1.1 dated 2023-02-23

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 RBesT updated to version 1.8-1 with previous version 1.8-0 dated 2025-01-08

Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19> for details on applying this package while Neuenschwander et al. (2010) <doi:10.1177/1740774509356002> and Schmidli et al. (2014) <doi:10.1111/biom.12242> explain details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Lukas A. Widmer [ctb] , Trustees of Columbia University [cph]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

Diff between RBesT versions 1.8-0 dated 2025-01-08 and 1.8-1 dated 2025-01-21

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Package nestcolor updated to version 0.1.3 with previous version 0.1.2 dated 2023-06-09

Title: Colors for NEST Graphs
Description: Clinical reporting figures require to use consistent colors and configurations. As a part of the Roche open-source clinical reporting project, namely the NEST project, the 'nestcolor' package specifies the color code and default theme with specifying 'ggplot2' theme parameters. Users can easily customize color and theme settings before using the reset of NEST packages to ensure consistent settings in both static and interactive output at the downstream.
Author: Joe Zhu [aut, cre] , Emily de la Rua [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package MultiscaleDTM updated to version 0.9.1 with previous version 0.9 dated 2025-01-17

Title: Multi-Scale Geomorphometric Terrain Attributes
Description: Calculates multi-scale geomorphometric terrain attributes from regularly gridded digital terrain models using a variable focal windows size (Ilich et al. (2023) <doi:10.1111/tgis.13067>).
Author: Alexander Ilich [aut, cre] , Vincent Lecours [aut], Benjamin Misiuk [aut], Steven Murawski [aut]
Maintainer: Alexander Ilich <ailich@usf.edu>

Diff between MultiscaleDTM versions 0.9 dated 2025-01-17 and 0.9.1 dated 2025-01-21

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Package JICO updated to version 0.1 with previous version 0.0 dated 2023-05-08

Title: Joint and Individual Regression
Description: An R package that implements the JICO algorithm [Wang, P., Wang, H., Li, Q., Shen, D., & Liu, Y. (2024). <Journal of Computational and Graphical Statistics, 33(3), 763-773>]. It aims at solving the multi-group regression problem. The algorithm decomposes the responses from multiple groups into shared and group-specific components, which are driven by low-rank approximations of joint and individual structures from the covariates respectively.
Author: Peiyao Wang [aut, cre]
Maintainer: Peiyao Wang <peiyaow76@gmail.com>

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Package BiodiversityR updated to version 2.17-1.1 with previous version 2.17-1 dated 2025-01-10

Title: Package for Community Ecology and Suitability Analysis
Description: Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.
Author: Roeland Kindt [cre, aut]
Maintainer: Roeland Kindt <RoelandCEKindt@gmail.com>

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Package ergm updated to version 4.8.1 with previous version 4.7.5 dated 2024-11-06

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description: An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.
Author: Mark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre] , Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb], Chad Klumb [ctb], Michal Bojanowski [ctb] , [...truncated...]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

Diff between ergm versions 4.7.5 dated 2024-11-06 and 4.8.1 dated 2025-01-21

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Package ProActive updated to version 0.1.0 with previous version 0.0.2 dated 2025-01-14

Title: Detect Elevations and Gaps in Mapped Sequencing Read Coverage
Description: Automate the detection of gaps and elevations in mapped sequencing read coverage using a 2D pattern-matching algorithm. 'ProActive' detects, characterizes and visualizes read coverage patterns in both genomes and metagenomes. Optionally, users may provide gene annotations associated with their genome or metagenome in the form of a .gff file. In this case, 'ProActive' will generate an additional output table containing the gene annotations found within the detected regions of gapped and elevated read coverage. Additionally, users can search for gene annotations of interest in the output read coverage plots.
Author: Jessie Maier [aut, cre, cph] , Manuel Kleiner [aut, ths]
Maintainer: Jessie Maier <jlmaier@ncsu.edu>

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Package brickster updated to version 0.2.6 with previous version 0.2.5 dated 2024-11-13

Title: R Toolkit for 'Databricks'
Description: Collection of utilities that improve using 'Databricks' from R. Primarily functions that wrap specific 'Databricks' APIs (<https://docs.databricks.com/api>), 'RStudio' connection pane support, quality of life functions to make 'Databricks' simpler to use.
Author: Zac Davies [aut, cre], Rafi Kurlansik [aut], Databricks [cph, fnd]
Maintainer: Zac Davies <zac@databricks.com>

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Mon, 20 Jan 2025

Package Blend updated to version 0.1.1 with previous version 0.1.0 dated 2024-11-25

Title: Robust Bayesian Longitudinal Regularized Semiparametric Mixed Models
Description: Our recently developed fully robust Bayesian semiparametric mixed-effect model for high-dimensional longitudinal studies with heterogeneous observations can be implemented through this package. This model can distinguish between time-varying interactions and constant-effect-only cases to avoid model misspecifications. Facilitated by spike-and-slab priors, this model leads to superior performance in estimation, identification and statistical inference. In particular, robust Bayesian inferences in terms of valid Bayesian credible intervals on both parametric and nonparametric effects can be validated on finite samples. The Markov chain Monte Carlo algorithms of the proposed and alternative models are efficiently implemented in 'C++'.
Author: Kun Fan [aut, cre], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>

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Package nascaR.data updated to version 2.1.0 with previous version 1.0.0 dated 2024-07-09

Title: NASCAR Race Data
Description: A collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NASCAR Xfinity Series, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and extends through the end of the 2024 season. Explore race, season, or career performance for drivers, teams, and manufacturers throughout NASCAR's history. Data was sourced with permission from DriverAverages.com.
Author: Kyle Grealis [aut, cre] , Gabriel Odom [ctb]
Maintainer: Kyle Grealis <kylegrealis@icloud.com>

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Package smcfcs updated to version 1.9.2 with previous version 1.9.1 dated 2024-12-04

Title: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Description: Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
Author: Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Edouard F. Bonneville [aut], Claus Thorn Ekstroem [ctb]
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>

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Package SurrogateParadoxTest updated to version 2.0 with previous version 1.0 dated 2024-12-08

Title: Empirical Testing of Surrogate Paradox Assumptions
Description: Provides functions to nonparametrically assess assumptions necessary to prevent the surrogate paradox through hypothesis tests of stochastic dominance, monotonicity of regression functions, and non-negative residual treatment effects. More details are available in Hsiao et al 2025 (under review). A tutorial for this package can be found at <https://laylaparast.com/home/SurrogateParadoxTest.html>.
Author: Emily Hsiao [aut, cre]
Maintainer: Emily Hsiao <ehsiao@utexas.edu>

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Package spam updated to version 2.11-1 with previous version 2.11-0 dated 2024-10-03

Title: SPArse Matrix
Description: Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details.
Author: Reinhard Furrer [aut, cre] , Florian Gerber [aut] , Roman Flury [aut] , Daniel Gerber [ctb], Kaspar Moesinger [ctb], Annina Cincera [ctb], Youcef Saad [ctb] , Esmond G. Ng [ctb] , Barry W. Peyton [ctb] , Joseph W.H. Liu [ctb] , Alan D. George [ctb] , [...truncated...]
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

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Package multiblock updated to version 0.8.9.0 with previous version 0.8.8.2 dated 2024-09-16

Title: Multiblock Data Fusion in Statistics and Machine Learning
Description: Functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1) "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting functions, several real data sets and six vignettes covering a range different applications.
Author: Kristian Hovde Liland [aut, cre] , Solve Saeboe [ctb], Stefan Schrunner [rev]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package ilabelled updated to version 1.0.1 with previous version 1.0.0 dated 2024-08-21

Title: Simple Handling of Labelled Data
Description: Simple handling of survey data. Smart handling of meta-information like e.g. variable-labels value-labels and scale-levels. Easy access and validation of meta-information. Useage of value labels and values respectively for subsetting and recoding data.
Author: Christof Lewerenz [aut, cre]
Maintainer: Christof Lewerenz <christof.lewerenz@gmx.net>

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Package EgoCor updated to version 1.3.0 with previous version 1.2.0 dated 2024-03-28

Title: Simple Presentation of Estimated Exponential Semi-Variograms
Description: User friendly interface based on the R package 'gstat' to fit exponential parametric models to empirical semi-variograms in order to model the spatial correlation structure of health data. Geo-located health outcomes of survey participants may be used to model spatial effects on health in an ego-centred approach. The package contains a range of functions to help explore the spatial structure of the data as well as visualize the fit of exponential models for various metaparameter combinations with respect to the number of lag intervals and maximal distance. Furthermore, the outcome of interest can be adjusted for covariates by fitting a linear regression in a preliminary step before the semi-variogram fitting process.
Author: Julia Dyck [aut, cre], Odile Sauzet [aut], Jan-Ole Koslik [aut]
Maintainer: Julia Dyck <j.dyck@uni-bielefeld.de>

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Package DTSg updated to version 2.0.0 with previous version 1.1.3 dated 2023-09-27

Title: A Class for Working with Time Series Data Based on 'data.table' and 'R6' with Largely Optional Reference Semantics
Description: Basic time series functionalities such as listing of missing values, application of arbitrary aggregation as well as rolling (asymmetric) window functions and automatic detection of periodicity. As it is mainly based on 'data.table', it is fast and (in combination with the 'R6' package) offers reference semantics. In addition to its native R6 interface, it provides an S3 interface for those who prefer the latter. Finally yet importantly, its functional approach allows for incorporating functionalities from many other packages.
Author: Gerold Hepp [aut, cre]
Maintainer: Gerold Hepp <gisler@hepp.cc>

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Package QGglmm updated to version 0.8.0 with previous version 0.7.4 dated 2020-01-07

Title: Estimate Quantitative Genetics Parameters from Generalised Linear Mixed Models
Description: Compute various quantitative genetics parameters from a Generalised Linear Mixed Model (GLMM) estimates. Especially, it yields the observed phenotypic mean, phenotypic variance and additive genetic variance.
Author: Pierre de Villemereuil [aut, cre]
Maintainer: Pierre de Villemereuil <pierre.de-villemereuil@mnhn.fr>

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Package fastDummies updated to version 1.7.5 with previous version 1.7.4 dated 2024-08-16

Title: Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables
Description: Creates dummy columns from columns that have categorical variables (character or factor types). You can also specify which columns to make dummies out of, or which columns to ignore. Also creates dummy rows from character, factor, and Date columns. This package provides a significant speed increase from creating dummy variables through model.matrix().
Author: Jacob Kaplan [aut, cre] , Benjamin Schlegel [ctb]
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

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Package RISCA updated to version 1.0.6 with previous version 1.0.5 dated 2024-03-22

Title: Causal Inference and Prediction in Cohort-Based Analyses
Description: Numerous functions for cohort-based analyses, either for prediction or causal inference. For causal inference, it includes Inverse Probability Weighting and G-computation for marginal estimation of an exposure effect when confounders are expected. We deal with binary outcomes, times-to-events, competing events, and multi-state data. For multistate data, semi-Markov model with interval censoring may be considered, and we propose the possibility to consider the excess of mortality related to the disease compared to reference lifetime tables. For predictive studies, we propose a set of functions to estimate time-dependent receiver operating characteristic (ROC) curves with the possible consideration of right-censoring times-to-events or the presence of confounders. Finally, several functions are available to assess time-dependent ROC curves or survival curves from aggregated data.
Author: Yohann Foucher [aut, cre] , Florent Le Borgne [aut], Arthur Chatton [aut]
Maintainer: Yohann Foucher <Yohann.Foucher@univ-poitiers.fr>

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Package marquee updated to version 1.0.0 with previous version 0.1.0 dated 2024-05-28

Title: Markdown Parser and Renderer for R Graphics
Description: Provides the mean to parse and render markdown text with grid along with facilities to define the styling of the text.
Author: Thomas Lin Pedersen [aut, cre] , Martin Mitas [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package relsurv updated to version 2.3-1 with previous version 2.2-9 dated 2022-12-22

Title: Relative Survival
Description: Contains functions for analysing relative survival data, including nonparametric estimators of net (marginal relative) survival, relative survival ratio, crude mortality, methods for fitting and checking additive and multiplicative regression models, transformation approach, methods for dealing with population mortality tables. Work has been described in Pohar Perme, Pavlic (2018) <doi:10.18637/jss.v087.i08>.
Author: Maja Pohar Perme [aut], Damjan Manevski [aut, cre]
Maintainer: Damjan Manevski <damjan.manevski@mf.uni-lj.si>

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Package AccelStab updated to version 2.1.1 with previous version 2.1.0 dated 2025-01-08

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

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Package TSVC updated to version 1.7.2 with previous version 1.5.3 dated 2023-10-17

Title: Tree-Structured Modelling of Varying Coefficients
Description: Fitting tree-structured varying coefficient models (Berger et al. (2019), <doi:10.1007/s11222-018-9804-8>). Simultaneous detection of covariates with varying coefficients and effect modifiers that induce varying coefficients if they are present.
Author: Moritz Berger [aut, cre]
Maintainer: Moritz Berger <moritz.berger@imbie.uni-bonn.de>

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Package modsem updated to version 1.0.6 with previous version 1.0.5 dated 2024-12-16

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) (temporarily unavailable) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8. [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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Package flowchart updated to version 0.7.0 with previous version 0.6.0 dated 2024-11-08

Title: Tidy Flowchart Generator
Description: Creates participant flow diagrams directly from a dataframe. Representing the flow of participants through each stage of a study, especially in clinical trials, is essential to assess the generalisability and validity of the results. This package provides a set of functions that can be combined with a pipe operator to create all kinds of flowcharts from a data frame in an easy way.
Author: Pau Satorra [aut, cre] , Joao Carmezim [aut] , Natalia Pallares [aut] , Cristian Tebe [aut] , Kenneth Taylor [ctb]
Maintainer: Pau Satorra <psatorra@igtp.cat>

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Package laminr updated to version 0.4.0 with previous version 0.3.1 dated 2025-01-08

Title: Client for 'LaminDB'
Description: Interact with 'LaminDB'. 'LaminDB' is an open-source data framework for biology. This package allows you to query and download data from 'LaminDB' instances.
Author: Robrecht Cannoodt [aut, cre] , Luke Zappia [aut] , Data Intuitive [aut], Lamin Labs [aut, cph]
Maintainer: Robrecht Cannoodt <robrecht@data-intuitive.com>

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Package diemr updated to version 1.4.3 with previous version 1.4.2 dated 2024-12-02

Title: Diagnostic Index Expectation Maximisation in R
Description: Likelihood-based genome polarisation finds which alleles of genomic markers belong to which side of the barrier. Co-estimates which individuals belong to either side of the barrier and barrier strength. Uses expectation maximisation in likelihood framework. The method is described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

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Package arealDB updated to version 0.9.4 with previous version 0.6.3 dated 2023-07-03

Title: Harmonise and Integrate Heterogeneous Areal Data
Description: Many relevant applications in the environmental and socioeconomic sciences use areal data, such as biodiversity checklists, agricultural statistics, or socioeconomic surveys. For applications that surpass the spatial, temporal or thematic scope of any single data source, data must be integrated from several heterogeneous sources. Inconsistent concepts, definitions, or messy data tables make this a tedious and error-prone process. 'arealDB' tackles those problems and helps the user to integrate a harmonised databases of areal data. Read the paper at Ehrmann, Seppelt & Meyer (2020) <doi:10.1016/j.envsoft.2020.104799>.
Author: Steffen Ehrmann [aut, cre] , Arne Ruemmler [aut, ctb] , Felipe Melges [ctb] , Carsten Meyer [aut]
Maintainer: Steffen Ehrmann <steffen.ehrmann@posteo.de>

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Package spdep updated to version 1.3-10 with previous version 1.3-9 dated 2025-01-16

Title: Spatial Dependence: Weighting Schemes, Statistics
Description: A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li 'et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) < [...truncated...]
Author: Roger Bivand [cre, aut] , Micah Altman [ctb], Luc Anselin [ctb], Renato Assuncao [ctb], Anil Bera [ctb], Olaf Berke [ctb], F. Guillaume Blanchet [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Steph [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package anticlust updated to version 0.8.9-1 with previous version 0.8.9 dated 2025-01-17

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to optimal and heuristic anticlustering methods described in Papenberg and Klau (2021; <doi:10.1037/met0000301>), Brusco et al. (2020; <doi:10.1111/bmsp.12186>), and Papenberg (2024; <doi:10.1111/bmsp.12315>). The optimal algorithms require that an integer linear programming solver is installed. This package will install 'lpSolve' (<https://cran.r-project.org/p [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb] , Max Diekhoff [ctb] , Hannah Hengelbrock [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

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Package spNetwork updated to version 0.4.4.5 with previous version 0.4.4.4 dated 2025-01-14

Title: Spatial Analysis on Network
Description: Perform spatial analysis on network. Implement several methods for spatial analysis on network: Network Kernel Density estimation, building of spatial matrices based on network distance ('listw' objects from 'spdep' package), K functions estimation for point pattern analysis on network, k nearest neighbours on network, reachable area calculation, and graph generation References: Okabe et al (2019) <doi:10.1080/13658810802475491>; Okabe et al (2012, ISBN:978-0470770818);Baddeley et al (2015, ISBN:9781482210200).
Author: Jeremy Gelb [aut, cre] , Philippe Apparicio [ctb]
Maintainer: Jeremy Gelb <jeremy.gelb@ucs.inrs.ca>

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Package metRology updated to version 0.9-29-2 with previous version 0.9-28-1 dated 2018-09-10

Title: Support for Metrological Applications
Description: Provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and inter-laboratory metrology comparison studies.
Author: Stephen L R Ellison. [aut], Stephen L R Ellison [cre]
Maintainer: Stephen L R Ellison <s.ellison@lgcgroup.com>

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Package kstIO updated to version 0.4-1 with previous version 0.4-0 dated 2023-01-26

Title: Knowledge Space Theory Input/Output
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstIO' package provides basic functionalities to read and write KST data from/to files to be used together with the 'kst', 'kstMatrix', 'CDSS', 'pks', or 'DAKS' packages.
Author: Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package ecic updated to version 0.0.4 with previous version 0.0.3 dated 2023-02-21

Title: Extended Changes-in-Changes
Description: Extends the Changes-in-Changes model a la Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> to multiple cohorts and time periods, which generalizes difference-in-differences estimation techniques to the entire distribution. Computes quantile treatment effects for every possible two-by-two combination in ecic(). Then, aggregating all bootstrap runs adds the standard errors in summary_ecic(). Results can be plotted with plot_ecic() aggregated over all cohort-group combinations or in an event-study style for either individual periods or individual quantiles.
Author: Frederic Kluser [aut, cre, cph]
Maintainer: Frederic Kluser <frederic.kluser@unibe.ch>

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Package atrrr updated to version 0.1.0 with previous version 0.0.5 dated 2025-01-19

Title: Wrapper for the 'AT' Protocol Behind 'Bluesky'
Description: Wraps the 'AT' Protocol (Authenticated Transfer Protocol) behind 'Bluesky' <https://bsky.social>. Functions can be used for, among others, retrieving posts and followers from the network or posting content.
Author: Johannes B. Gruber [aut, cre] , Benjamin Guinaudeau [aut, ctb] , Fabio Votta [aut, ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

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Package textshaping updated to version 1.0.0 with previous version 0.4.1 dated 2024-12-06

Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
Author: Thomas Lin Pedersen [cre, aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package systemfonts updated to version 1.2.1 with previous version 1.2.0 dated 2025-01-16

Title: System Native Font Finding
Description: Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Author: Thomas Lin Pedersen [aut, cre] , Jeroen Ooms [aut] , Devon Govett [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package hdf5r updated to version 1.3.12 with previous version 1.3.11 dated 2024-07-07

Title: Interface to the 'HDF5' Binary Data Format
Description: 'HDF5' is a data model, library and file format for storing and managing large amounts of data. This package provides a nearly feature complete, object oriented wrapper for the 'HDF5' API <https://support.hdfgroup.org/documentation/hdf5/latest/_r_m.html> using R6 classes. Additionally, functionality is added so that 'HDF5' objects behave very similar to their corresponding R counterparts.
Author: Holger Hoefling [aut, cre], Mario Annau [aut], Novartis Institute for BioMedical Research [cph]
Maintainer: Holger Hoefling <hhoeflin@gmail.com>

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Package ggeffects updated to version 2.1.0 with previous version 2.0.0 dated 2024-11-27

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects and adjusted predictions from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Effects and predictions can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Luedecke [aut, cre] , Frederik Aust [ctb] , Sam Crawley [ctb] , Mattan S. Ben-Shachar [ctb] , Sean C. Anderson [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between ggeffects versions 2.0.0 dated 2024-11-27 and 2.1.0 dated 2025-01-20

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Package babelmixr2 updated to version 0.1.6 with previous version 0.1.5 dated 2024-11-06

Title: Use 'nlmixr2' to Interact with Open Source and Commercial Software
Description: Run other estimation and simulation software via the 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>) interface including 'PKNCA', 'NONMEM' and 'Monolix'. While not required, you can get/install the 'lixoftConnectors' package in the 'Monolix' installation, as described at the following url <https://monolixsuite.slp-software.com/r-functions/2024R1/installation-and-initialization>. When 'lixoftConnectors' is available, 'Monolix' can be run directly instead of setting up command line usage.
Author: Matthew Fidler [aut, cre] , Bill Denney [aut] , Theodoros Papathanasiou [ctb], Nook Fulloption [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between babelmixr2 versions 0.1.5 dated 2024-11-06 and 0.1.6 dated 2025-01-20

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Package gpboost updated to version 1.5.5.1 with previous version 1.5.5 dated 2024-12-20

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.5.5 dated 2024-12-20 and 1.5.5.1 dated 2025-01-20

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Sun, 19 Jan 2025

Package spatstat.model updated to version 3.3-4 with previous version 3.3-3 dated 2024-11-19

Title: Parametric Statistical Modelling and Inference for the 'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.model versions 3.3-3 dated 2024-11-19 and 3.3-4 dated 2025-01-19

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Package DEploid updated to version 0.5.7 with previous version 0.5.6 dated 2024-12-23

Title: Deconvolute Mixed Genomes with Unknown Proportions
Description: Traditional phasing programs are limited to diploid organisms. Our method modifies Li and Stephens algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haplotype searches in a multiple infection setting. This package is primarily developed as part of the Pf3k project, which is a global collaboration using the latest sequencing technologies to provide a high-resolution view of natural variation in the malaria parasite Plasmodium falciparum. Parasite DNA are extracted from patient blood sample, which often contains more than one parasite strain, with unknown proportions. This package is used for deconvoluting mixed haplotypes, and reporting the mixture proportions from each sample.
Author: Joe Zhu [aut, cre] , Jacob Almagro-Garcia [aut], Gil McVean [aut], University of Oxford [cph], Yinghan Liu [ctb], CodeCogs Zyba Ltd [com, cph], Deepak Bandyopadhyay [com, cph], Lutz Kettner [com, cph]
Maintainer: Joe Zhu <sha.joe.zhu@gmail.com>

Diff between DEploid versions 0.5.6 dated 2024-12-23 and 0.5.7 dated 2025-01-19

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Package recalibratiNN updated to version 0.3.2 with previous version 0.3.0 dated 2024-07-05

Title: Quantile Recalibration for Regression Models
Description: Enables the diagnostics and enhancement of regression model calibration.It offers both global and local visualization tools for calibration diagnostics and provides one recalibration method: Torres R, Nott DJ, Sisson SA, Rodrigues T, Reis JG, Rodrigues GS (2024) <doi:10.48550/arXiv.2403.05756>. The method leverages on Probabilistic Integral Transform (PIT) values to both evaluate and perform the calibration of statistical models. For a more detailed description of the package, please refer to the bachelor's thesis available bellow.
Author: Carolina Musso [aut, cre, cph] , Ricardo Torres [aut, cph] , Joao Reis [aut, cph], Guilherme Rodrigues [aut, ths, cph]
Maintainer: Carolina Musso <cmusso86@gmail.com>

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Package re2 updated to version 0.1.4 with previous version 0.1.3 dated 2023-11-28

Title: R Interface to Google RE2 (C++) Regular Expression Library
Description: Pattern matching, extraction, replacement and other string processing operations using Google's RE2 <https://github.com/google/re2> regular-expression engine. Consistent interface (similar to 'stringr'). RE2 uses finite-automata based techniques, and offers a fast and safe alternative to backtracking regular-expression engines like those used in 'stringr', 'stringi' and other PCRE implementations.
Author: Girish Palya [aut, cre], RE2 developers [ctb] , Google Inc. [ctb, cph]
Maintainer: Girish Palya <girishji@gmail.com>

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Package rbiom updated to version 2.0.10 with previous version 2.0.7 dated 2025-01-11

Title: Read/Write, Analyze, and Visualize 'BIOM' Data
Description: A toolkit for working with Biological Observation Matrix ('BIOM') files. Read/write all 'BIOM' formats. Compute rarefaction, alpha diversity, and beta diversity (including 'UniFrac'). Summarize counts by taxonomic level. Subset based on metadata. Generate visualizations and statistical analyses. CPU intensive operations are coded in C for speed.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

Diff between rbiom versions 2.0.7 dated 2025-01-11 and 2.0.10 dated 2025-01-19

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Package priorityelasticnet updated to version 0.2.0 with previous version 0.1.0 dated 2025-01-13

Title: Comprehensive Analysis of Multi-Omics Data Using an Offset-Based Method
Description: Priority-ElasticNet extends the Priority-LASSO method (Klau et al. (2018) <doi:10.1186/s12859-018-2344-6>) by incorporating the ElasticNet penalty, allowing for both L1 and L2 regularization. This approach fits successive ElasticNet models for several blocks of (omics) data with different priorities, using the predicted values from each block as an offset for the subsequent block. It also offers robust options to handle block-wise missingness in multi-omics data, improving the flexibility and applicability of the model in the presence of incomplete datasets.
Author: Laila Qadir Musib [aut, cre], Eunice Carrasquinha [aut], Helena Mourino [aut]
Maintainer: Laila Qadir Musib <statleila98@gmail.com>

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Package cpp11bigwig updated to version 0.1.1 with previous version 0.1.0 dated 2025-01-07

Title: Read bigWig and bigBed Files
Description: Read bigWig and bigBed files using "libBigWig" <https://github.com/dpryan79/libBigWig>. Provides lightweight access to the binary bigWig and bigBed formats developed by the UCSC Genome Browser group.
Author: Jay Hesselberth [aut, cre], RNA Bioscience Initiative [fnd, cph], Devon Ryan [cph]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

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Package tidyplots updated to version 0.2.1 with previous version 0.2.0 dated 2024-12-16

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

Diff between tidyplots versions 0.2.0 dated 2024-12-16 and 0.2.1 dated 2025-01-19

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Package jmBIG updated to version 0.1.3 with previous version 0.1.2 dated 2024-03-20

Title: Joint Longitudinal and Survival Model for Big Data
Description: Provides analysis tools for big data where the sample size is very large. It offers a suite of functions for fitting and predicting joint models, which allow for the simultaneous analysis of longitudinal and time-to-event data. This statistical methodology is particularly useful in medical research where there is often interest in understanding the relationship between a longitudinal biomarker and a clinical outcome, such as survival or disease progression. This can be particularly useful in a clinical setting where it is important to be able to predict how a patient's health status may change over time. Overall, this package provides a comprehensive set of tools for joint modeling of BIG data obtained as survival and longitudinal outcomes with both Bayesian and non-Bayesian approaches. Its versatility and flexibility make it a valuable resource for researchers in many different fields, particularly in the medical and health sciences.
Author: Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>

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Package shapviz updated to version 0.9.7 with previous version 0.9.6 dated 2024-10-11

Title: SHAP Visualizations
Description: Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, dependence plots, and interaction plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', and 'kernelshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
Author: Michael Mayer [aut, cre], Adrian Stando [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package atrrr updated to version 0.0.5 with previous version 0.0.4 dated 2024-10-03

Title: Wrapper for the 'AT' Protocol Behind 'Bluesky'
Description: Wraps the 'AT' Protocol (Authenticated Transfer Protocol) behind 'Bluesky' <https://bsky.social>. Functions can be used for, among others, retrieving posts and followers from the network or posting content.
Author: Johannes B. Gruber [aut, cre] , Benjamin Guinaudeau [aut, ctb] , Fabio Votta [aut, ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

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Package parseRPDR updated to version 1.1.2 with previous version 1.1.1 dated 2024-04-03

Title: Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries
Description: Functions to load Research Patient Data Registry ('RPDR') text queries from Partners Healthcare institutions into R. The package also provides helper functions to manipulate data and execute common procedures such as finding the closest radiological exams considering a given timepoint, or creating a DICOM header database from the downloaded images. All functionalities are parallelized for fast and efficient analyses.
Author: Marton Kolossvary [aut, cre]
Maintainer: Marton Kolossvary <mkolossvary@mgh.harvard.edu>

Diff between parseRPDR versions 1.1.1 dated 2024-04-03 and 1.1.2 dated 2025-01-19

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Package RobLoxBioC updated to version 1.2.3 with previous version 1.2.2 dated 2024-02-11

Title: Infinitesimally Robust Estimators for Preprocessing -Omics Data
Description: Functions for the determination of optimally robust influence curves and estimators for preprocessing omics data, in particular gene expression data (Kohl and Deigner (2010), <doi:10.1186/1471-2105-11-583>).
Author: Matthias Kohl [aut, cre, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package TREDesigns updated to version 1.0.1 with previous version 1.0.0 dated 2024-12-11

Title: Ternary Residual Effect Designs
Description: There are some experimental scenarios where each experimental unit receives a sequence of treatments across multiple periods, and treatment effects persist beyond the period of application. It focuses on the construction and calculation of the parametric value of the residual effect designs balanced for carryover effects, also referred to as crossover designs, change-over designs, or repeated measurements designs (Aggarwal and Jha, 2010<doi:10.1080/15598608.2010.10412013>). The primary objective of the package is to generate a new class of Balanced Ternary Residual Effect Designs (BTREDs), balanced for carryover effects tailored explicitly for situations where the number of periods is less than or equal to the number of treatments. In addition, the package provides four new classes of Partially Balanced Ternary Residual Effect Designs (PBTREDs), constructed using incomplete block designs, initial sequences, and rectangular association scheme. In addition, one extra function is in [...truncated...]
Author: Akhilesh Jha [aut], Cini Varghese [aut], Seema Jaggi [aut], Mohd Harun [aut], Ashutosh Dalal [aut, cre]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>

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Package gdalraster updated to version 1.12.0 with previous version 1.11.1 dated 2024-06-13

Title: Bindings to the 'Geospatial Data Abstraction Library' Raster API
Description: Interface to the Raster API of the 'Geospatial Data Abstraction Library' ('GDAL', <https://gdal.org>). Bindings are implemented in an exposed C++ class encapsulating a 'GDALDataset' and its raster band objects, along with several stand-alone functions. These support manual creation of uninitialized datasets, creation from existing raster as template, read/set dataset parameters, low level I/O, color tables, raster attribute tables, virtual raster (VRT), and 'gdalwarp' wrapper for reprojection and mosaicing. Includes 'GDAL' algorithms ('dem_proc()', 'polygonize()', 'rasterize()', etc.), and functions for coordinate transformation and spatial reference systems. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project. Includes raster 'calc()' to evaluate a given R expression on a layer or stack of layers, with pixel x/y available as variables in the expression; and raster 'combine()' to identify and count unique pixel combinations across multiple [...truncated...]
Author: Chris Toney [aut, cre] , Michael D. Sumner [ctb], Frank Warmerdam [ctb, cph] , Even Rouault [ctb, cph] , Marius Appel [ctb, cph] , Daniel James [ctb, cph] , Peter Dimov [ctb, cph]
Maintainer: Chris Toney <chris.toney@usda.gov>

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Permanent link

Package goat updated to version 1.1 with previous version 1.0 dated 2024-04-30

Title: Gene Set Analysis Using the Gene Set Ordinal Association Test
Description: Perform gene set enrichment analyses using the Gene set Ordinal Association Test (GOAT) algorithm and visualize your results. Koopmans, F. (2024) <doi:10.1038/s42003-024-06454-5>.
Author: Frank Koopmans [aut, cre]
Maintainer: Frank Koopmans <ftwkoopmans@gmail.com>

Diff between goat versions 1.0 dated 2024-04-30 and 1.1 dated 2025-01-19

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More information about goat at CRAN
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Package RcppMsgPack updated to version 0.2.4 with previous version 0.2.3 dated 2018-11-18

Title: 'MsgPack' C++ Header Files and Interface Functions for R
Description: 'MsgPack' header files are provided for use by R packages, along with the ability to access, create and alter 'MsgPack' objects directly from R. 'MsgPack' is an efficient binary serialization format. It lets you exchange data among multiple languages like 'JSON' but it is faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves. This package provides headers from the 'msgpack-c' implementation for C and C++(11) for use by R, particularly 'Rcpp'. The included 'msgpack-c' headers are licensed under the Boost Software License (Version 1.0); the code added by this package as well the R integration are licensed under the GPL (>= 2). See the files 'COPYRIGHTS' and 'AUTHORS' for a full list of copyright holders and contributors to 'msgpack-c'.
Author: Dirk Eddelbuettel [aut, cre] , Travers Ching [aut], MsgPack Authors [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppMsgPack versions 0.2.3 dated 2018-11-18 and 0.2.4 dated 2025-01-19

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Package groundhog updated to version 3.2.2 with previous version 3.2.1 dated 2024-09-29

Title: Version-Control for CRAN, GitHub, and GitLab Packages
Description: Make R scripts reproducible, by ensuring that every time a given script is run, the same version of the used packages are loaded (instead of whichever version the user running the script happens to have installed). This is achieved by using the command groundhog.library() instead of the base command library(), and including a date in the call. The date is used to call on the same version of the package every time (the most recent version available at that date). Load packages from CRAN, GitHub, or Gitlab.
Author: Uri Simonsohn [aut, cre] , Hugo Gruson [ctb, aut]
Maintainer: Uri Simonsohn <urisohn@gmail.com>

Diff between groundhog versions 3.2.1 dated 2024-09-29 and 3.2.2 dated 2025-01-19

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Package BOJ updated to version 0.3.4 with previous version 0.3 dated 2022-01-04

Title: Interface to Bank of Japan Statistics
Description: Provides an interface to Bank of Japan <https://www.boj.or.jp> statistics.
Author: Stefan Angrick [aut, cre, cph]
Maintainer: Stefan Angrick <contact@stefanangrick.net>

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Package ncdfCF updated to version 0.3.0 with previous version 0.2.1 dated 2024-10-14

Title: Easy Access to NetCDF Files with CF Metadata Conventions
Description: Network Common Data Form ('netCDF') files are widely used for scientific data. Library-level access in R is provided through packages 'RNetCDF' and 'ncdf4'. Package 'ncdfCF' is built on top of 'RNetCDF' and makes the data and its attributes available as a set of R6 classes that are informed by the Climate and Forecasting Metadata Conventions. Access to the data uses standard R subsetting operators and common function forms.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

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Package ivreg updated to version 0.6-5 with previous version 0.6-4 dated 2024-09-18

Title: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics
Description: Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
Author: John Fox [aut] , Christian Kleiber [aut] , Achim Zeileis [aut, cre] , Nikolas Kuschnig [ctb] , R Core Team [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between ivreg versions 0.6-4 dated 2024-09-18 and 0.6-5 dated 2025-01-19

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Package mutualinf updated to version 2.0.3 with previous version 2.0.2 dated 2025-01-18

Title: Computation and Decomposition of the Mutual Information Index
Description: The Mutual Information Index (M) introduced to social science literature by Theil and Finizza (1971) <doi:10.1080/0022250X.1971.9989795> is a multigroup segregation measure that is highly decomposable and that according to Frankel and Volij (2011) <doi:10.1016/j.jet.2010.10.008> and Mora and Ruiz-Castillo (2011) <doi:10.1111/j.1467-9531.2011.01237.x> satisfies the Strong Unit Decomposability and Strong Group Decomposability properties. This package allows computing and decomposing the total index value into its "between" and "within" terms. These last terms can also be decomposed into their contributions, either by group or unit characteristics. The factors that produce each "within" term can also be displayed at the user's request. The results can be computed considering a variable or sets of variables that define separate clusters.
Author: Cristian Angulo-Gonzalez [aut, cre], Rafael Fuentealba-Chaura [aut], Ricardo Mora [aut], Julio Rojas-Mora [aut], FONDECYT/ANID Project 11170583 [fnd], MCIN/AEI/10.13039/501100011033 [fnd], UCT VIP Project FEQUIP2019-INRN-03 [fnd]
Maintainer: Cristian Angulo-Gonzalez <cristian_world@hotmail.cl>

Diff between mutualinf versions 2.0.2 dated 2025-01-18 and 2.0.3 dated 2025-01-19

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Package munsellinterpol updated to version 3.1-0 with previous version 3.0-0 dated 2022-04-07

Title: Interpolate Munsell Renotation Data from Hue Value/Chroma to CIE/RGB
Description: Methods for interpolating data in the Munsell color system following the ASTM D-1535 standard. Hues and chromas with decimal values can be interpolated and converted to/from the Munsell color system and CIE xyY, CIE XYZ, CIE Lab, CIE Luv, or RGB. Includes ISCC-NBS color block lookup. Based on the work by Paul Centore, "The Munsell and Kubelka-Munk Toolbox".
Author: Jose Gama [aut, trl], Paul Centore [aut, cph], Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Sat, 18 Jan 2025

Package colorrepel updated to version 0.4.1 with previous version 0.3.0 dated 2024-09-29

Title: Repel Visually Similar Colors for Colorblind Users in Various Plots
Description: Iterate and repel visually similar colors away in various 'ggplot2' plots. When many groups are plotted at the same time on multiple axes, for instance stacked bars or scatter plots, effectively ordering colors becomes difficult. This tool iterates through color combinations to find the best solution to maximize visual distinctness of nearby groups, so plots are more friendly toward colorblind users. This is achieved by two distance measurements, distance between groups within the plot, and CIELAB color space distances between colors as described in Carter et al., (2018) <doi:10.25039/TR.015.2018>.
Author: Rui Fu [cre, aut, cph]
Maintainer: Rui Fu <raysinensis@gmail.com>

Diff between colorrepel versions 0.3.0 dated 2024-09-29 and 0.4.1 dated 2025-01-18

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Package SpaCCI updated to version 1.0.3 with previous version 1.0.2 dated 2024-10-24

Title: Spatially Aware Cell-Cell Interaction Analysis
Description: Provides tools for analyzing spatial cell-cell interactions based on ligand-receptor pairs, including functions for local, regional, and global analysis using spatial transcriptomics data. Integrates with databases like 'CellChat' <http://www.cellchat.org/>, 'CellPhoneDB' <https://www.cellphonedb.org/>, 'Cellinker' <https://www.rna-society.org/cellinker/>, 'ICELLNET' <https://github.com/soumelis-lab/ICELLNET>, and 'ConnectomeDB' <https://humanconnectome.org/software/connectomedb/> to identify ligand-receptor pairs, visualize interactions through heatmaps, chord diagrams, and infer interactions on different spatial scales.
Author: Li-Ting Ku [aut, cre]
Maintainer: Li-Ting Ku <lku@mdanderson.org>

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Package Qindex.data updated to version 0.1.3 with previous version 0.1.2 dated 2025-01-17

Title: Data for Package 'Qindex'
Description: Example data used in package 'Qindex'.
Author: Tingting Zhan [aut, cre, cph] , Misung Yi [aut, cph] , Inna Chervoneva [aut, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package mutualinf updated to version 2.0.2 with previous version 2.0.1 dated 2025-01-16

Title: Computation and Decomposition of the Mutual Information Index
Description: The Mutual Information Index (M) introduced to social science literature by Theil and Finizza (1971) <doi:10.1080/0022250X.1971.9989795> is a multigroup segregation measure that is highly decomposable and that according to Frankel and Volij (2011) <doi:10.1016/j.jet.2010.10.008> and Mora and Ruiz-Castillo (2011) <doi:10.1111/j.1467-9531.2011.01237.x> satisfies the Strong Unit Decomposability and Strong Group Decomposability properties. This package allows computing and decomposing the total index value into its "between" and "within" terms. These last terms can also be decomposed into their contributions, either by group or unit characteristics. The factors that produce each "within" term can also be displayed at the user's request. The results can be computed considering a variable or sets of variables that define separate clusters.
Author: Cristian Angulo-Gonzalez [aut, cre], Rafael Fuentealba-Chaura [aut], Ricardo Mora [aut], Julio Rojas-Mora [aut], FONDECYT/ANID Project 11170583 [fnd], MCIN/AEI/10.13039/501100011033 [fnd], UCT VIP Project FEQUIP2019-INRN-03 [fnd]
Maintainer: Cristian Angulo-Gonzalez <cristian_world@hotmail.cl>

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Package evola updated to version 1.0.4 with previous version 1.0.2 dated 2024-09-26

Title: Evolutionary Algorithm
Description: Runs a genetic algorithm using the 'AlphaSimR' machinery <doi:10.1093/g3journal/jkaa017> and the coalescent simulator 'MaCS' <doi:10.1101/gr.083634.108>.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package quantities updated to version 0.2.3 with previous version 0.2.2 dated 2024-07-29

Title: Quantity Calculus for R Vectors
Description: Integration of the 'units' and 'errors' packages for a complete quantity calculus system for R vectors, matrices and arrays, with automatic propagation, conversion, derivation and simplification of magnitudes and uncertainties. Documentation about 'units' and 'errors' is provided in the papers by Pebesma, Mailund & Hiebert (2016, <doi:10.32614/RJ-2016-061>) and by Ucar, Pebesma & Azcorra (2018, <doi:10.32614/RJ-2018-075>), included in those packages as vignettes; see 'citation("quantities")' for details.
Author: Inaki Ucar [aut, cph, cre]
Maintainer: Inaki Ucar <iucar@fedoraproject.org>

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Package s3.resourcer updated to version 1.1.2 with previous version 1.1.1 dated 2023-05-07

Title: S3 Resource Resolver
Description: A S3 resource is provided by Amazon Web Services S3 or a S3-compatible object store (such as Minio). The resource can be a tidy file to be downloaded from the object store, or a data lake (such as Delta Lake) Parquet file to be read by Apache Spark.
Author: Yannick Marcon [aut, cre] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

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Package errors updated to version 0.4.3 with previous version 0.4.2 dated 2024-07-29

Title: Uncertainty Propagation for R Vectors
Description: Support for measurement errors in R vectors, matrices and arrays: automatic uncertainty propagation and reporting. Documentation about 'errors' is provided in the paper by Ucar, Pebesma & Azcorra (2018, <doi:10.32614/RJ-2018-075>), included in this package as a vignette; see 'citation("errors")' for details.
Author: Inaki Ucar [aut, cph, cre] , Lionel Henry [ctb], RStudio [cph]
Maintainer: Inaki Ucar <iucar@fedoraproject.org>

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Package nlmixr2est updated to version 3.0.3 with previous version 3.0.2 dated 2024-11-23

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [aut], Rik Schoemaker [aut] , Justin Wilkins [aut] , Wenping Wang [aut], Robert Leary [ctb], Mason McComb [ctb] , Vipul Mann [aut], Mirjam Trame [ctb], Mahmoud Abdelwahab [ctb], Teun Post [ctb], Richard Hooijmai [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package httr2 updated to version 1.1.0 with previous version 1.0.7 dated 2024-11-26

Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then performing them and processing the results. 'httr2' is a modern re-imagining of 'httr' that uses a pipe-based interface and solves more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], Maximilian Girlich [ctb]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package hoardr updated to version 0.5.5 with previous version 0.5.4 dated 2024-01-23

Title: Manage Cached Files
Description: Suite of tools for managing cached files, targeting use in other R packages. Uses 'rappdirs' for cross-platform paths. Provides utilities to manage cache directories, including targeting files by path or by key; cached directories can be compressed and uncompressed easily to save disk space.
Author: Scott Chamberlain [aut] , Tamas Stirling [ctb, cre]
Maintainer: Tamas Stirling <stirling.tamas@gmail.com>

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Package CalibrationCurves updated to version 2.0.4 with previous version 2.0.3 dated 2024-07-02

Title: Calibration Performance
Description: Plots calibration curves and computes statistics for assessing calibration performance. See De Cock Campo (2023) <doi:10.48550/arXiv.2309.08559> and Van Calster et al. (2016) <doi:10.1016/j.jclinepi.2015.12.005>.
Author: De Cock Bavo [aut, cre], Nieboer Daan [aut], Van Calster Ben [aut], Steyerberg Ewout [aut], Vergouwe Yvonne [aut]
Maintainer: De Cock Bavo <bavo.decock@kuleuven.be>

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Package Coxmos updated to version 1.1.0 with previous version 1.0.2 dated 2024-03-25

Title: Cox MultiBlock Survival
Description: This software package provides Cox survival analysis for high-dimensional and multiblock datasets. It encompasses a suite of functions dedicated from the classical Cox regression to newest analysis, including Cox proportional hazards model, Stepwise Cox regression, and Elastic-Net Cox regression, Sparse Partial Least Squares Cox regression (sPLS-COX) incorporating three distinct strategies, and two Multiblock-PLS Cox regression (MB-sPLS-COX) methods. This tool is designed to adeptly handle high-dimensional data, and provides tools for cross-validation, plot generation, and additional resources for interpreting results. While references are available within the corresponding functions, key literature is mentioned below. Terry M Therneau (2024) <https://CRAN.R-project.org/package=survival>, Noah Simon et al. (2011) <doi:10.18637/jss.v039.i05>, Philippe Bastien et al. (2005) <doi:10.1016/j.csda.2004.02.005>, Philippe Bastien (2008) <doi:10.1016/j.chemolab.2007.09.009& [...truncated...]
Author: Pedro Salguero Garcia [aut, cre, rev] , Sonia Tarazona Campos [ths], Ana Conesa Cegarra [ths], Kassu Mehari Beyene [ctb], Luis Meira Machado [ctb], Marta Sestelo [ctb], Artur Araujo [ctb]
Maintainer: Pedro Salguero Garcia <pedrosalguerog@gmail.com>

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Package MHCtools updated to version 1.5.5 with previous version 1.5.4 dated 2025-01-15

Title: Analysis of MHC Data in Non-Model Species
Description: Fifteen tools for bioinformatics processing and analysis of major histocompatibility complex (MHC) data. The functions are tailored for amplicon data sets that have been filtered using the dada2 method (for more information on dada2, visit <https://benjjneb.github.io/dada2/> ), but even other types of data sets can be analyzed. The ReplMatch() function matches replicates in data sets in order to evaluate genotyping success. The GetReplTable() and GetReplStats() functions perform such an evaluation. The CreateFas() function creates a fasta file with all the sequences in the data set. The CreateSamplesFas() function creates individual fasta files for each sample in the data set. The DistCalc() function calculates Grantham, Sandberg, or p-distances from pairwise comparisons of all sequences in a data set, and mean distances of all pairwise comparisons within each sample in a data set. The function additionally outputs five tables with physico-chemical z-descriptor values (based on S [...truncated...]
Author: Jacob Roved [aut, cre]
Maintainer: Jacob Roved <jacob.roved@biol.lu.se>

Diff between MHCtools versions 1.5.4 dated 2025-01-15 and 1.5.5 dated 2025-01-18

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Package ftsa updated to version 6.5 with previous version 6.4 dated 2024-01-23

Title: Functional Time Series Analysis
Description: Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
Author: Rob Hyndman [aut] , Han Lin Shang [aut, cre, cph]
Maintainer: Han Lin Shang <hanlin.shang@mq.edu.au>

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Package ctypesio updated to version 0.1.2 with previous version 0.1.1 dated 2024-10-16

Title: Read and Write Standard 'C' Types from Files, Connections and Raw Vectors
Description: Interacting with binary files can be difficult because R's types are a subset of what is generally supported by 'C'. This package provides a suite of functions for reading and writing binary data (with files, connections, and raw vectors) using 'C' type descriptions. These functions convert data between 'C' types and R types while checking for values outside the type limits, 'NA' values, etc.
Author: Mike Cheng [aut, cre, cph], Anne Fu [ctb]
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>

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Package spatstat.geom updated to version 3.3-5 with previous version 3.3-4 dated 2024-11-18

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oehlschlaegel [ctb, cph], Suman Rakshit [ctb], [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Fri, 17 Jan 2025

Package miLAG updated to version 1.0.5 with previous version 1.0.4 dated 2024-10-05

Title: Calculates Microbial Lag Duration (on the Population Level) from Provided Growth Curve Data
Description: Microbial growth is often measured by growth curves i.e. a table of population sizes and times of measurements. This package allows to use such growth curve data to determine the duration of "microbial lag phase" i.e. the time needed for microbes to restart divisions. It implements the most commonly used methods to calculate the lag duration, these methods are discussed and described in Opalek et.al. 2022. Citation: Smug, B. J., Opalek, M., Necki, M., & Wloch-Salamon, D. (2024). Microbial lag calculator: A shiny-based application and an R package for calculating the duration of microbial lag phase. Methods in Ecology and Evolution, 15, 301–307 <doi:10.1111/2041-210X.14269>.
Author: Bogna Smug [aut, cre]
Maintainer: Bogna Smug <bogna.smug@uj.edu.pl>

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Permanent link

Package lme4breeding updated to version 1.0.50 with previous version 1.0.40 dated 2024-10-16

Title: Relationship-Based Mixed-Effects Models
Description: Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery. The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package agriutilities updated to version 1.2.1 with previous version 1.2.0 dated 2024-01-20

Title: Utilities for Data Analysis in Agriculture
Description: Utilities designed to make the analysis of field trials easier and more accessible for everyone working in plant breeding. It provides a simple and intuitive interface for conducting single and multi-environmental trial analysis, with minimal coding required. Whether you're a beginner or an experienced user, 'agriutilities' will help you quickly and easily carry out complex analyses with confidence. With built-in functions for fitting Linear Mixed Models, 'agriutilities' is the ideal choice for anyone who wants to save time and focus on interpreting their results. Some of the functions require the R package 'asreml' for the 'ASReml' software, this can be obtained upon purchase from 'VSN' international <https://vsni.co.uk/software/asreml-r/>.
Author: Johan Aparicio [aut, cre], Alexia Bornhorst [aut], The Alliance of Bioversity International and CIAT [cph]
Maintainer: Johan Aparicio <johanstevenapa@gmail.com>

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Package eDNAjoint updated to version 0.3 with previous version 0.2 dated 2024-10-08

Title: Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework
Description: Models integrate environmental DNA (eDNA) detection data and traditional survey data to jointly estimate species catch rate (see package vignette: <https://ednajoint.netlify.app/>). Models can be used with count data via traditional survey methods (i.e., trapping, electrofishing, visual) and replicated eDNA detection/nondetection data via polymerase chain reaction (i.e., PCR or qPCR) from multiple survey locations. Estimated parameters include probability of a false positive eDNA detection, a site-level covariates that scale the sensitivity of eDNA surveys relative to traditional surveys, and catchability coefficients for traditional gear types. Models are implemented with a Bayesian framework (Markov chain Monte Carlo) using the 'Stan' probabilistic programming language.
Author: Abigail G. Keller [aut, cre], Ryan P. Kelly [ctb], Chitra M. Saraswati [rev], Saras M. Windecker [rev]
Maintainer: Abigail G. Keller <agkeller@berkeley.edu>

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Package TimeDepFrail updated to version 0.0.1 with previous version 0.0.0.9 dated 2024-11-21

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

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Package rgl updated to version 1.3.17 with previous version 1.3.16 dated 2025-01-06

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Duncan Murdoch [aut, cre], Daniel Adler [aut], Oleg Nenadic [ctb], Simon Urbanek [ctb], Ming Chen [ctb], Albrecht Gebhardt [ctb], Ben Bolker [ctb], Gabor Csardi [ctb], Adam Strzelecki [ctb], Alexander Senger [ctb], The R Core Team [ctb, cph], Dirk Ed [...truncated...]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package hypervolume updated to version 3.1.5 with previous version 3.1.4 dated 2024-05-01

Title: High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls
Description: Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and hole detection. Uses stochastic geometry approach to high-dimensional kernel density estimation, support vector machine delineation, and convex hull generation. Applications include modeling trait and niche hypervolumes and species distribution modeling.
Author: Benjamin Blonder [aut, cre], Cecina Babich Morrow [aut], Stuart Brown [aut], Gregoire Butruille [aut], Daniel Chen [aut], Alex Laini [aut], David J. Harris [aut], Clement Violet [aut]
Maintainer: Benjamin Blonder <benjamin.blonder@berkeley.edu>

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Package NatureSounds updated to version 1.0.5 with previous version 1.0.4 dated 2021-04-23

Title: Animal Sounds for Bioacustic Analysis
Description: Collection of example animal sounds for bioacoustic analysis.
Author: Marcelo Araya-Salas [aut, cre]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package TH.data updated to version 1.1-3 with previous version 1.1-2 dated 2023-04-17

Title: TH's Data Archive
Description: Contains data sets used in other packages Torsten Hothorn maintains.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package sts updated to version 1.3 with previous version 1.2 dated 2024-11-25

Title: Estimation of the Structural Topic and Sentiment-Discourse Model for Text Analysis
Description: The Structural Topic and Sentiment-Discourse (STS) model allows researchers to estimate topic models with document-level metadata that determines both topic prevalence and sentiment-discourse. The sentiment-discourse is modeled as a document-level latent variable for each topic that modulates the word frequency within a topic. These latent topic sentiment-discourse variables are controlled by the document-level metadata. The STS model can be useful for regression analysis with text data in addition to topic modeling’s traditional use of descriptive analysis. The method was developed in Chen and Mankad (2024) <doi:10.1287/mnsc.2022.00261>.
Author: Shawn Mankad [aut, cre], Li Chen [aut]
Maintainer: Shawn Mankad <smankad@ncsu.edu>

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Package PhenotypeR updated to version 0.1.1 with previous version 0.1.0 dated 2024-12-06

Title: Assess Study Cohorts Using a Common Data Model
Description: Phenotype study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model. Diagnostics are run at the database, code list, cohort, and population level to assess whether study cohorts are ready for research.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Xihang Chen [aut] , Marta Alcalde-Herraiz [aut] , Albert Prats-Uribe [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package handwriter updated to version 3.2.4 with previous version 3.2.3 dated 2024-11-26

Title: Handwriting Analysis in R
Description: Perform statistical writership analysis of scanned handwritten documents. Webpage provided at: <https://github.com/CSAFE-ISU/handwriter>.
Author: Iowa State University of Science and Technology on behalf of its Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Nick Berry [aut], Stephanie Reinders [aut, cre], James Taylor [aut], Felix Baez-Santiago [ctb], Jon Gonzalez [...truncated...]
Maintainer: Stephanie Reinders <srein@iastate.edu>

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Package visualFields updated to version 1.0.7 with previous version 1.0.5 dated 2024-09-21

Title: Statistical Methods for Visual Fields
Description: A collection of tools for analyzing the field of vision. It provides a framework for development and use of innovative methods for visualization, statistical analysis, and clinical interpretation of visual-field loss and its change over time. It is intended to be a tool for collaborative research. The package is described in Marin-Franch and Swanson (2013) <doi:10.1167/13.4.10> and is part of the Open Perimetry Initiative (OPI) [Turpin, Artes, and McKendrick (2012) <doi:10.1167/12.11.22>].
Author: Ivan Marin-Franch [cre, aut, rev, cph], William H Swanson [fnd, dtc], Michael Wall [fnd, dtc], Andrew Turpin [ctb], Paul H Artes [ctb, dtc], Cord Huchzermeyer [ctb], Giovanni Montesano [ctb], Mitchell W Dul [dtc]
Maintainer: Ivan Marin-Franch <imarinfr@optocom.es>

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Package matsbyname updated to version 0.6.11 with previous version 0.6.10 dated 2024-02-12

Title: An Implementation of Matrix Mathematics that Respects Row and Column Names
Description: An implementation of matrix mathematics wherein operations are performed "by name."
Author: Matthew Heun [aut, cre]
Maintainer: Matthew Heun <matthew.heun@me.com>

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Package Qindex.data updated to version 0.1.2 with previous version 0.1.1 dated 2024-04-24

Title: Data for Package 'Qindex'
Description: Example data used in package 'Qindex'.
Author: Tingting Zhan [aut, cre, cph] , Misung Yi [aut, cph] , Inna Chervoneva [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package ontologics updated to version 0.7.4 with previous version 0.7.0 dated 2023-05-10

Title: Code-Logics to Handle Ontologies
Description: Provides tools to build and work with an ontology of linked (open) data in a tidy workflow. It is inspired by the Food and Agrilculture Organizations (FAO) caliper platform <https://www.fao.org/statistics/caliper/web/> and makes use of the Simple Knowledge Organisation System (SKOS).
Author: Steffen Ehrmann [aut, cre] , Arne Ruemmler [aut, ctb] , Carsten Meyer [ctb]
Maintainer: Steffen Ehrmann <steffen.ehrmann@posteo.de>

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Package basefun updated to version 1.2-1 with previous version 1.1-4 dated 2023-05-16

Title: Infrastructure for Computing with Basis Functions
Description: Some very simple infrastructure for basis functions.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package MultiscaleDTM updated to version 0.9 with previous version 0.8.3 dated 2024-01-22

Title: Multi-Scale Geomorphometric Terrain Attributes
Description: Calculates multi-scale geomorphometric terrain attributes from regularly gridded digital terrain models using a variable focal windows size (Ilich et al. (2023) <doi:10.1111/tgis.13067>).
Author: Alexander Ilich [aut, cre] , Vincent Lecours [aut], Benjamin Misiuk [aut], Steven Murawski [aut]
Maintainer: Alexander Ilich <ailich@usf.edu>

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Package gslnls updated to version 1.4.1 with previous version 1.4.0 dated 2025-01-16

Title: GSL Multi-Start Nonlinear Least-Squares Fitting
Description: An R interface to weighted nonlinear least-squares optimization with the GNU Scientific Library (GSL), see M. Galassi et al. (2009, ISBN:0954612078). The available trust region methods include the Levenberg-Marquardt algorithm with and without geodesic acceleration, the Steihaug-Toint conjugate gradient algorithm for large systems and several variants of Powell's dogleg algorithm. Multi-start optimization based on quasi-random samples is implemented using a modified version of the algorithm in Hickernell and Yuan (1997, OR Transactions). Robust nonlinear regression can be performed using various robust loss functions, in which case the optimization problem is solved by iterative reweighted least squares (IRLS). Bindings are provided to tune a number of parameters affecting the low-level aspects of the trust region algorithms. The interface mimics R's nls() function and returns model objects inheriting from the same class.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>

Diff between gslnls versions 1.4.0 dated 2025-01-16 and 1.4.1 dated 2025-01-17

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Package grates updated to version 1.4.0 with previous version 1.3.0 dated 2024-11-20

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package gmresls updated to version 0.2.3 with previous version 0.2.2 dated 2024-10-18

Title: Solve Least Squares with GMRES(k)
Description: Solves a least squares system Ax~=b (dim(A)=(m,n) with m >= n) with a precondition matrix B: BAx=Bb (dim(B)=(n,m)). Implemented method is based on GMRES (Saad, Youcef; Schultz, Martin H. (1986). "GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems" <doi:10.1137/0907058>) with callback functions, i.e. no explicit A, B or b are required.
Author: Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package cherry updated to version 0.6-15 with previous version 0.6-14 dated 2021-05-07

Title: Multiple Testing Methods for Exploratory Research
Description: Provides an alternative approach to multiple testing by calculating a simultaneous upper confidence bounds for the number of true null hypotheses among any subset of the hypotheses of interest, using the methods of Goeman and Solari (2011) <doi:10.1214/11-STS356>.
Author: Jelle Goeman [aut, cre], Aldo Solari [aut], Rosa Meijer [aut]
Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>

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Package bayestestR updated to version 0.15.1 with previous version 0.15.0 dated 2024-10-17

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

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Package anticlust updated to version 0.8.9 with previous version 0.8.7 dated 2024-10-01

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to optimal and heuristic anticlustering methods described in Papenberg and Klau (2021; <doi:10.1037/met0000301>), Brusco et al. (2020; <doi:10.1111/bmsp.12186>), and Papenberg (2024; <doi:10.1111/bmsp.12315>). The optimal algorithms require that an integer linear programming solver is installed. This package will install 'lpSolve' (<https://cran.r-project.org/p [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb] , Max Diekhoff [ctb] , Hannah Hengelbrock [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

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Package warbleR updated to version 1.1.34 with previous version 1.1.33 dated 2024-12-11

Title: Streamline Bioacoustic Analysis
Description: Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the packages 'tuneR' and 'seewave', and offers new tools for explore and quantify acoustic signal structure. The package allows to organize and manipulate multiple sound files, create spectrograms of complete recordings or individual signals in different formats, run several measures of acoustic structure, and characterize different structural levels in acoustic signals.
Author: Marcelo Araya-Salas [aut, cre] , Grace Smith-Vidaurre [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package scam updated to version 1.2-18 with previous version 1.2-17 dated 2024-06-19

Title: Shape Constrained Additive Models
Description: Generalized additive models under shape constraints on the component functions of the linear predictor. Models can include multiple shape-constrained (univariate and bivariate) and unconstrained terms. Routines of the package 'mgcv' are used to set up the model matrix, print, and plot the results. Multiple smoothing parameter estimation by the Generalized Cross Validation or similar. See Pya and Wood (2015) <doi:10.1007/s11222-013-9448-7> for an overview. A broad selection of shape-constrained smoothers, linear functionals of smooths with shape constraints, and Gaussian models with AR1 residuals.
Author: Natalya Pya [aut, cre]
Maintainer: Natalya Pya <nat.pya@gmail.com>

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Package SAMprior updated to version 2.0.0 with previous version 1.1.1 dated 2023-09-27

Title: Self-Adapting Mixture (SAM) Priors
Description: Implementation of the SAM prior and generation of its operating characteristics for dynamically borrowing information from historical data. For details, please refer to Yang et al. (2023) <doi:10.1111/biom.13927>.
Author: Peng Yang [aut, cre] , Ying Yuan [aut]
Maintainer: Peng Yang <py11@rice.edu>

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Package rlang updated to version 1.1.5 with previous version 1.1.4 dated 2024-06-04

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], mikefc [cph] , Yann Collet [cph] , Posit, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>

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Package plm updated to version 2.6-5 with previous version 2.6-4 dated 2024-04-01

Title: Linear Models for Panel Data
Description: A set of estimators for models and (robust) covariance matrices, and tests for panel data econometrics, including within/fixed effects, random effects, between, first-difference, nested random effects as well as instrumental-variable (IV) and Hausman-Taylor-style models, panel generalized method of moments (GMM) and general FGLS models, mean groups (MG), demeaned MG, and common correlated effects (CCEMG) and pooled (CCEP) estimators with common factors, variable coefficients and limited dependent variables models. Test functions include model specification, serial correlation, cross-sectional dependence, panel unit root and panel Granger (non-)causality. Typical references are general econometrics text books such as Baltagi (2021), Econometric Analysis of Panel Data (<doi:10.1007/978-3-030-53953-5>), Hsiao (2014), Analysis of Panel Data (<doi:10.1017/CBO9781139839327>), and Croissant and Millo (2018), Panel Data Econometrics with R (<doi:10.1002/9781119504641>).
Author: Yves Croissant [aut], Giovanni Millo [aut], Kevin Tappe [aut, cre], Ott Toomet [ctb], Christian Kleiber [ctb], Achim Zeileis [ctb], Arne Henningsen [ctb], Liviu Andronic [ctb], Nina Schoenfelder [ctb]
Maintainer: Kevin Tappe <kevin.tappe@bwi.uni-stuttgart.de>

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Package gld updated to version 2.6.7 with previous version 2.6.6 dated 2022-10-23

Title: Estimation and Use of the Generalised (Tukey) Lambda Distribution
Description: The generalised lambda distribution, or Tukey lambda distribution, provides a wide variety of shapes with one functional form. This package provides random numbers, quantiles, probabilities, densities and density quantiles for four different types of the distribution, the FKML (Freimer et al 1988), RS (Ramberg and Schmeiser 1974), GPD (van Staden and Loots 2009) and FM5 - see documentation for details. It provides the density function, distribution function, and Quantile-Quantile plots. It implements a variety of estimation methods for the distribution, including diagnostic plots. Estimation methods include the starship (all 4 types), method of L-Moments for the GPD and FKML types, and a number of methods for only the FKML type. These include maximum likelihood, maximum product of spacings, Titterington's method, Moments, Trimmed L-Moments and Distributional Least Absolutes.
Author: Robert King [aut, cre] , Benjamin Dean [aut], Sigbert Klinke [aut], Paul van Staden [aut]
Maintainer: Robert King <Robert.King.Newcastle@gmail.com>

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Package CohortConstructor updated to version 0.3.4 with previous version 0.3.3 dated 2024-11-26

Title: Build and Manipulate Study Cohorts Using a Common Data Model
Description: Create and manipulate study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde-Herraiz [aut] , Mike Du [aut] , Yuchen Guo [aut] , Xihang Chen [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package shinyscholar updated to version 0.2.3 with previous version 0.2.2 dated 2025-01-15

Title: A Template for Creating Reproducible 'shiny' Applications
Description: Create a skeleton 'shiny' application with create_template() that is reproducible, can be saved and meets academic standards for attribution. Forked from 'wallace'. Code is split into modules that are loaded and linked together automatically and each call one function. Guidance pages explain modules to users and flexible logging informs them of any errors. Options enable asynchronous operations, viewing of source code, interactive maps and data tables. Use to create complex analytical applications, following best practices in open science and software development. Includes functions for automating repetitive development tasks and an example application at run_shinyscholar() that requires install.packages("shinyscholar", dependencies = TRUE). A guide to developing applications can be found on the package website.
Author: Simon E. H. Smart [aut, cre, cph], Tim Lucas [aut] , Jamie M. Kass [ctb], Gonzalo E. Pinilla-Buitrago [ctb], Andrea Paz [ctb], Bethany A. Johnson [ctb], Valentina Grisales-Betancur [ctb], Dean Attali [ctb], Matthew E. Aiello-Lammens [ctb], Cory Merow [...truncated...]
Maintainer: Simon E. H. Smart <simon.smart@cantab.net>

Diff between shinyscholar versions 0.2.2 dated 2025-01-15 and 0.2.3 dated 2025-01-17

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Package lrstat updated to version 0.2.12 with previous version 0.2.11 dated 2024-12-04

Title: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
Description: Performs power and sample size calculation for non-proportional hazards model using the Fleming-Harrington family of weighted log-rank tests. The sequentially calculated log-rank test score statistics are assumed to have independent increments as characterized in Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean and variance of log-rank test score statistics are calculated based on Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities are calculated using the recursive integration algorithm described in Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168). The package can also be used for continuous, binary, and count data. For continuous data, it can handle missing data through mixed-model for repeated measures (MMRM). In crossover designs, it can estimate direct treatment effects while accounting for carryover effects. For binary data, it can design Simon's 2-stage, modified toxicity probability-2 (mTPI-2), a [...truncated...]
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package georob updated to version 0.3-22 with previous version 0.3-21 dated 2025-01-08

Title: Robust Geostatistical Analysis of Spatial Data
Description: Provides functions for efficiently fitting linear models with spatially correlated errors by robust (Kuensch et al. (2011) <doi:10.3929/ethz-a-009900710>) and Gaussian (Harville (1977) <doi:10.1080/01621459.1977.10480998>) (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions (Cressie (1993) <doi:10.1002/9781119115151>), along with utility functions for variogram modelling in ad hoc geostatistical analyses, model building, model evaluation by cross-validation, (conditional) simulation of Gaussian processes (Davies and Bryant (2013) <doi:10.18637/jss.v055.i09>), unbiased back-transformation of Kriging predictions of log-transformed data (Cressie (2006) <doi:10.1007/s11004-005-9022-8>).
Author: Andreas Papritz [aut, cre]
Maintainer: Andreas Papritz <papritz@retired.ethz.ch>

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Package rms updated to version 7.0-0 with previous version 6.9-0 dated 2024-12-12

Title: Regression Modeling Strategies
Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
Author: Frank E Harrell Jr [aut, cre]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

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Package pvda updated to version 0.0.4 with previous version 0.0.3 dated 2024-03-01

Title: Disproportionality Functions for Pharmacovigilance
Description: Tools for performing disproportionality analysis using the information component, proportional reporting rate and the reporting odds ratio. The anticipated use is passing data to the da() function, which executes the disproportionality analysis. See Norén et al (2011) <doi:10.1177/0962280211403604> and Montastruc et al (2011) <doi:10.1111/j.1365-2125.2011.04037.x> for further details.
Author: Oskar Gauffin [aut] , Michele Fusaroli [cre]
Maintainer: Michele Fusaroli <michele.fusaroli@who-umc.org>

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Package LLMR updated to version 0.1.2 with previous version 0.1.1 dated 2024-10-21

Title: Interface for Large Language Model APIs in R
Description: A unified interface to interact with various Large Language Model (LLM) APIs such as 'OpenAI' (see <https://platform.openai.com/docs/quickstart> for details), 'Anthropic' (see <https://docs.anthropic.com/en/api/getting-started> for details), 'Groq' (see <https://console.groq.com/docs/api-reference> for details), 'Together AI' (see <https://docs.together.ai/docs/quickstart> for details), 'DeepSeek' (see <https://api-docs.deepseek.com> for details), and 'Voyage AI' (see <https://docs.voyageai.com/docs/introduction> for details). Allows users to configure API parameters, send messages, and retrieve responses seamlessly within R.
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

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Package autoslider.core updated to version 0.2.3 with previous version 0.2.2 dated 2025-01-07

Title: Slide Automation for Tables, Listings and Figures
Description: The normal process of creating clinical study slides is that a statistician manually type in the numbers from outputs and a separate statistician to double check the typed in numbers. This process is time consuming, resource intensive, and error prone. Automatic slide generation is a solution to address these issues. It reduces the amount of work and the required time when creating slides, and reduces the risk of errors from manually typing or copying numbers from the output to slides. It also helps users to avoid unnecessary stress when creating large amounts of slide decks in a short time window.
Author: Joe Zhu [cre, aut] , Heng Wang [aut], Yinqi Zhao [aut], Bo Ci [aut], Liming Li [aut], Laura Wang [ctb], Xiaoli Duan [aut], Stefan Pascal Thoma [aut], Thomas Neitmann [ctb], Miles Almond [aut], Mahdi About [ctb], Kai Lim [ctb], Nolan Steed [ctb], Daol [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package spacesXYZ updated to version 1.4-0 with previous version 1.3-0 dated 2024-01-23

Title: CIE XYZ and some of Its Derived Color Spaces
Description: Functions for converting among CIE XYZ, xyY, Lab, and Luv. Calculate Correlated Color Temperature (CCT) and the Planckian and daylight loci. The XYZs of some standard illuminants and some standard linear chromatic adaptation transforms (CATs) are included. Three standard color difference metrics are included.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package tern updated to version 0.9.7 with previous version 0.9.6 dated 2024-09-24

Title: Create Common TLGs Used in Clinical Trials
Description: Table, Listings, and Graphs (TLG) library for common outputs used in clinical trials.
Author: Joe Zhu [aut, cre], Daniel Sabanes Bove [aut], Jana Stoilova [aut], Davide Garolini [aut], Emily de la Rua [aut], Abinaya Yogasekaram [aut], Heng Wang [aut], Francois Collin [aut], Adrian Waddell [aut], Pawel Rucki [aut], Chendi Liao [aut], Jennifer [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package glmnetr updated to version 0.5-5 with previous version 0.5-4 dated 2024-10-24

Title: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
Description: Cross validation informed Relaxed LASSO, Artificial Neural Network (ANN), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Recursive Partitioning ('RPART') or step wise regression models are fit. Cross validation leave out samples (leading to nested cross validation) or bootstrap out-of-bag samples are used to evaluate and compare performances between these models with results presented in tabular or graphical means. Calibration plots can also be generated, again based upon (outer nested) cross validation or bootstrap leave out (out of bag) samples. For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied by using the 'path=TRUE' option when calling [...truncated...]
Author: Walter K Kremers [aut, cre] , Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

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Thu, 16 Jan 2025

Package systemfonts updated to version 1.2.0 with previous version 1.1.0 dated 2024-05-15

Title: System Native Font Finding
Description: Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Author: Thomas Lin Pedersen [aut, cre] , Jeroen Ooms [aut] , Devon Govett [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package gcplyr updated to version 1.11.0 with previous version 1.10.0 dated 2024-07-09

Title: Wrangle and Analyze Growth Curve Data
Description: Easy wrangling and model-free analysis of microbial growth curve data, as commonly output by plate readers. Tools for reshaping common plate reader outputs into 'tidy' formats and merging them with design information, making data easy to work with using 'gcplyr' and other packages. Also streamlines common growth curve processing steps, like smoothing and calculating derivatives, and facilitates model-free characterization and analysis of growth data. See methods at <https://mikeblazanin.github.io/gcplyr/>.
Author: Mike Blazanin [aut, cre]
Maintainer: Mike Blazanin <mikeblazanin@gmail.com>

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Package OmopSketch updated to version 0.2.1 with previous version 0.2.0 dated 2025-01-08

Title: Characterise Tables of an OMOP Common Data Model Instance
Description: Summarises key information in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Assess suitability to perform specific epidemiological studies and explore the different domains to obtain feasibility counts and trends.
Author: Marta Alcalde-Herraiz [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut] , Cecilia Campanile [aut, cre] , Edward Burn [aut] , Marti Catala [aut]
Maintainer: Cecilia Campanile <cecilia.campanile@ndorms.ox.ac.uk>

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Package mirai updated to version 2.0.1 with previous version 2.0.0 dated 2025-01-08

Title: Minimalist Async Evaluation Framework for R
Description: Designed for simplicity, a 'mirai' evaluates an R expression asynchronously in a parallel process, locally or distributed over the network, with the result automatically available upon completion. Modern networking and concurrency built on 'nanonext' and 'NNG' (Nanomsg Next Gen) ensure reliable and efficient scheduling, over fast inter-process communications or TCP/IP secured by TLS. Advantages include being inherently queued thus handling many more tasks than available processes, no storage on the file system, support for otherwise non-exportable reference objects, an event-driven promises implementation, and built-in asynchronous parallel map.
Author: Charlie Gao [aut, cre] , Joe Cheng [ctb], Hibiki AI Limited [cph], Posit Software, PBC [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package gslnls updated to version 1.4.0 with previous version 1.3.2 dated 2024-05-01

Title: GSL Multi-Start Nonlinear Least-Squares Fitting
Description: An R interface to weighted nonlinear least-squares optimization with the GNU Scientific Library (GSL), see M. Galassi et al. (2009, ISBN:0954612078). The available trust region methods include the Levenberg-Marquardt algorithm with and without geodesic acceleration, the Steihaug-Toint conjugate gradient algorithm for large systems and several variants of Powell's dogleg algorithm. Multi-start optimization based on quasi-random samples is implemented using a modified version of the algorithm in Hickernell and Yuan (1997, OR Transactions). Robust nonlinear regression can be performed using various robust loss functions, in which case the optimization problem is solved by iterative reweighted least squares (IRLS). Bindings are provided to tune a number of parameters affecting the low-level aspects of the trust region algorithms. The interface mimics R's nls() function and returns model objects inheriting from the same class.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>

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Package epiworldR updated to version 0.6.0.0 with previous version 0.3-2 dated 2024-10-08

Title: Fast Agent-Based Epi Models
Description: A flexible framework for Agent-Based Models (ABM), the 'epiworldR' package provides methods for prototyping disease outbreaks and transmission models using a 'C++' backend, making it very fast. It supports multiple epidemiological models, including the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Removed (SIR), Susceptible-Exposed-Infected-Removed (SEIR), and others, involving arbitrary mitigation policies and multiple-disease models. Users can specify infectiousness/susceptibility rates as a function of agents' features, providing great complexity for the model dynamics. Furthermore, 'epiworldR' is ideal for simulation studies featuring large populations.
Author: George Vega Yon [aut] , Derek Meyer [aut] , Andrew Pulsipher [aut, cre] , Susan Holmes [rev] , Abinash Satapathy [rev] , Carinogurjao [rev], Centers for Disease Control and Prevention [fnd]
Maintainer: Andrew Pulsipher <pulsipher.a@gmail.com>

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More information about epiworldR at CRAN
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Package bench updated to version 1.1.4 with previous version 1.1.3 dated 2023-05-04

Title: High Precision Timing of R Expressions
Description: Tools to accurately benchmark and analyze execution times for R expressions.
Author: Jim Hester [aut], Davis Vaughan [aut, cre], Drew Schmidt [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

Diff between bench versions 1.1.3 dated 2023-05-04 and 1.1.4 dated 2025-01-16

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Package webmap updated to version 1.1.1 with previous version 1.1.0 dated 2024-03-25

Title: Create Interactive Web Maps Using 'The National Map' Services
Description: Creates interactive web maps using the 'JavaScript' 'Leaflet' library with base layers of 'The National Map' ('TNM'). 'TNM' services provide access to base geospatial information that describes the landscape of the United States and its territories. This package is dependent on, and intended to be used with, the 'leaflet' package.
Author: Jason C. Fisher [aut, cre] , Stefano Cudini [ctb, cph] , John Firebaugh [ctb, cph]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>

Diff between webmap versions 1.1.0 dated 2024-03-25 and 1.1.1 dated 2025-01-16

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Package eq5d updated to version 0.15.6 with previous version 0.15.5 dated 2024-11-20

Title: Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores
Description: EQ-5D is a popular health related quality of life instrument used in the clinical and economic evaluation of health care. Developed by the EuroQol group <https://euroqol.org/>, the instrument consists of two components: health state description and evaluation. For the description component a subject self-rates their health in terms of five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using either a three-level (EQ-5D-3L, <https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-3l/>) or a five-level (EQ-5D-5L, <https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-5l/>) scale. Frequently the scores on these five dimensions are converted to a single utility index using country specific value sets, which can be used in the clinical and economic evaluation of health care as well as in population health surveys. The eq5d package provides methods to calculate index scores from a subject's dimension [...truncated...]
Author: Fraser Morton [aut, cre], Jagtar Singh Nijjar [aut]
Maintainer: Fraser Morton <fraser.morton@glasgow.ac.uk>

Diff between eq5d versions 0.15.5 dated 2024-11-20 and 0.15.6 dated 2025-01-16

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Package amadeus updated to version 1.2.3 with previous version 1.2.2 dated 2025-01-08

Title: Accessing and Analyzing Large-Scale Environmental Data
Description: Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calculate_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For sum_edc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.
Author: Mitchell Manware [aut, ctb] , Insang Song [aut, ctb] , Eva Marques [aut, ctb] , Mariana Alifa Kassien [aut, ctb] , Elizabeth Scholl [ctb] , Kyle Messier [aut, cre] , Spatiotemporal Exposures and Toxicology Group [cph]
Maintainer: Kyle Messier <kyle.messier@nih.gov>

Diff between amadeus versions 1.2.2 dated 2025-01-08 and 1.2.3 dated 2025-01-16

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Package spdep updated to version 1.3-9 with previous version 1.3-8 dated 2024-12-02

Title: Spatial Dependence: Weighting Schemes, Statistics
Description: A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li 'et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) < [...truncated...]
Author: Roger Bivand [cre, aut] , Micah Altman [ctb], Luc Anselin [ctb], Renato Assuncao [ctb], Anil Bera [ctb], Olaf Berke [ctb], F. Guillaume Blanchet [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Steph [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between spdep versions 1.3-8 dated 2024-12-02 and 1.3-9 dated 2025-01-16

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Package solaR2 updated to version 0.11 with previous version 0.10 dated 2024-09-16

Title: Radiation and Photovoltaic Systems
Description: Provides tools for calculating solar geometry, solar radiation on horizontal and inclined planes, and simulating the performance of various photovoltaic (PV) systems. Supports daily and intradaily irradiation data, enabling detailed analysis of grid-connected and water-pumping PV systems, including shading effects and solar angle calculations.
Author: Oscar Perpinan-Lamigueiro [aut] , Francisco Delgado-Lopez [aut, cre]
Maintainer: Francisco Delgado-Lopez <f.delgadol@alumnos.upm.es>

Diff between solaR2 versions 0.10 dated 2024-09-16 and 0.11 dated 2025-01-16

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Package sketchy updated to version 1.0.5 with previous version 1.0.4 dated 2024-09-02

Title: Create Custom Research Compendiums
Description: Provides functions to create and manage research compendiums for data analysis. Research compendiums are a standard and intuitive folder structure for organizing the digital materials of a research project, which can significantly improve reproducibility. The package offers several compendium structure options that fit different research project as well as the ability of duplicating the folder structure of existing projects or implementing custom structures. It also simplifies the use of version control.
Author: Marcelo Araya-Salas [aut, cre] , Andrea Yure Arriaga Madrigal [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

Diff between sketchy versions 1.0.4 dated 2024-09-02 and 1.0.5 dated 2025-01-16

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Package secretbase updated to version 1.0.4 with previous version 1.0.3 dated 2024-10-02

Title: Cryptographic Hash, Extendable-Output and Base64 Functions
Description: Fast and memory-efficient streaming hash functions and base64 encoding / decoding. Hashes strings and raw vectors directly. Stream hashes files which can be larger than memory, as well as in-memory objects through R's serialization mechanism. Implementations include the SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256 extendable-output function (XOF), and 'SipHash' pseudo-random function.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between secretbase versions 1.0.3 dated 2024-10-02 and 1.0.4 dated 2025-01-16

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Package soilDB updated to version 2.8.7 with previous version 2.8.5 dated 2024-11-04

Title: Soil Database Interface
Description: A collection of functions for reading soil data from U.S. Department of Agriculture Natural Resources Conservation Service (USDA-NRCS) and National Cooperative Soil Survey (NCSS) databases.
Author: Dylan Beaudette [aut], Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

Diff between soilDB versions 2.8.5 dated 2024-11-04 and 2.8.7 dated 2025-01-16

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Package pak updated to version 0.8.0.1 with previous version 0.8.0 dated 2024-08-26

Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Author: Gabor Csardi [aut, cre], Jim Hester [aut], Posit Software, PBC [cph, fnd], Winston Chang [ctb] , Ascent Digital Services [cph, fnd] , Hadley Wickham [ctb, cph] , Jeroen Ooms [ctb] , Maelle Salmon [ctb] , Duncan Temple Lang [ctb] , Lloyd Hilaiel [cph] [...truncated...]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between pak versions 0.8.0 dated 2024-08-26 and 0.8.0.1 dated 2025-01-16

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Package gridpattern updated to version 1.3.1 with previous version 1.2.2 dated 2024-06-03

Title: 'grid' Pattern Grobs
Description: Provides 'grid' grobs that fill in a user-defined area with various patterns. Includes enhanced versions of the geometric and image-based patterns originally contained in the 'ggpattern' package as well as original 'pch', 'polygon_tiling', 'regular_polygon', 'rose', 'text', 'wave', and 'weave' patterns plus support for custom user-defined patterns.
Author: Trevor L. Davis [aut, cre] , Mike FC [aut] , ggplot2 authors [ctb]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

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Package raster updated to version 3.6-31 with previous version 3.6-30 dated 2024-10-02

Title: Geographic Data Analysis and Modeling
Description: Reading, writing, manipulating, analyzing and modeling of spatial data. This package has been superseded by the "terra" package <https://CRAN.R-project.org/package=terra>.
Author: Robert J. Hijmans [cre, aut] , Jacob van Etten [ctb], Michael Sumner [ctb], Joe Cheng [ctb], Dan Baston [ctb], Andrew Bevan [ctb], Roger Bivand [ctb], Lorenzo Busetto [ctb], Mort Canty [ctb], Ben Fasoli [ctb], David Forrest [ctb], Aniruddha Ghosh [ct [...truncated...]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between raster versions 3.6-30 dated 2024-10-02 and 3.6-31 dated 2025-01-16

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Package pkgbuild updated to version 1.4.6 with previous version 1.4.5 dated 2024-10-28

Title: Find Tools Needed to Build R Packages
Description: Provides functions used to build R packages. Locates compilers needed to build R packages on various platforms and ensures the PATH is configured appropriately so R can use them.
Author: Hadley Wickham [aut], Jim Hester [aut], Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between pkgbuild versions 1.4.5 dated 2024-10-28 and 1.4.6 dated 2025-01-16

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Package ern updated to version 2.1.2 with previous version 2.0.0 dated 2024-04-22

Title: Effective Reproduction Number Estimation
Description: Estimate the effective reproduction number from wastewater and clinical data sources.
Author: David Champredon [aut, cre] , Warsame Yusuf [aut] , Irena Papst [aut]
Maintainer: David Champredon <david.champredon@canada.ca>

Diff between ern versions 2.0.0 dated 2024-04-22 and 2.1.2 dated 2025-01-16

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Package segtest updated to version 1.0.2 with previous version 1.0.1 dated 2024-10-21

Title: Tests for Segregation Distortion in Polyploids
Description: Provides a suite of tests for segregation distortion in F1 polyploid populations (for now, just tetraploids). This is under different assumptions of meiosis. Details of these methods are described in Gerard et al. (2025) <doi:10.1007/s00122-025-04816-z>. This material is based upon work supported by the National Science Foundation under Grant No. 2132247. The opinions, findings, and conclusions or recommendations expressed are those of the author and do not necessarily reflect the views of the National Science Foundation.
Author: David Gerard [aut, cre] , Mira Thakkar [aut], NSF DBI 2132247 [fnd]
Maintainer: David Gerard <gerard.1787@gmail.com>

Diff between segtest versions 1.0.1 dated 2024-10-21 and 1.0.2 dated 2025-01-16

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Package mutualinf updated to version 2.0.1 with previous version 1.2.2 dated 2024-02-02

Title: Computation and Decomposition of the Mutual Information Index
Description: The Mutual Information Index (M) introduced to social science literature by Theil and Finizza (1971) <doi:10.1080/0022250X.1971.9989795> is a multigroup segregation measure that is highly decomposable and that according to Frankel and Volij (2011) <doi:10.1016/j.jet.2010.10.008> and Mora and Ruiz-Castillo (2011) <doi:10.1111/j.1467-9531.2011.01237.x> satisfies the Strong Unit Decomposability and Strong Group Decomposability properties. This package allows computing and decomposing the total index value into its "between" and "within" terms. These last terms can also be decomposed into their contributions, either by group or unit characteristics. The factors that produce each "within" term can also be displayed at the user's request. The results can be computed considering a variable or sets of variables that define separate clusters.
Author: Cristian Angulo-Gonzalez [aut, cre], Rafael Fuentealba-Chaura [aut], Ricardo Mora [aut], Julio Rojas-Mora [aut], FONDECYT/ANID Project 11170583 [fnd], MCIN/AEI/10.13039/501100011033 [fnd], UCT VIP Project FEQUIP2019-INRN-03 [fnd]
Maintainer: Cristian Angulo-Gonzalez <cristian_world@hotmail.cl>

Diff between mutualinf versions 1.2.2 dated 2024-02-02 and 2.0.1 dated 2025-01-16

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Package admiralpeds updated to version 0.2.0 with previous version 0.1.0 dated 2024-08-21

Title: Pediatrics Extension Package for ADaM in 'R' Asset Library
Description: A toolbox for programming Clinical Data Standards Interchange Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>). The package is an extension package of the 'admiral' package for pediatric clinical trials.
Author: Fanny Gautier [aut, cre], Ross Farrugia [aut], Zelos Zhu [aut], Sukalpo Saha [aut], Lina Patil [aut], Samia Kabi [aut], Laura Liao [ctb], Remigiusz Kudlacz [ctb], Pierre Wallet [ctb], Amin Sherzad [ctb], David Freedman [ctb], Mahmoud Hamza [ctb], F. [...truncated...]
Maintainer: Fanny Gautier <fanny.gautier@cytel.com>

Diff between admiralpeds versions 0.1.0 dated 2024-08-21 and 0.2.0 dated 2025-01-16

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Package mlr3viz updated to version 0.10.1 with previous version 0.10.0 dated 2024-11-07

Title: Visualizations for 'mlr3'
Description: Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, learners, predictions, benchmark results, tuning instances and filters via the 'autoplot()' generic of 'ggplot2'. The package draws plots with the 'viridis' color palette and applies the minimal theme. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [aut] , Patrick Schratz [aut] , Raphael Sonabend [aut] , Marc Becker [cre, aut] , Jakob Richter [aut] , Damir Pulatov [ctb], John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3viz versions 0.10.0 dated 2024-11-07 and 0.10.1 dated 2025-01-16

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Package endogeneity updated to version 2.1.4 with previous version 2.1.3 dated 2023-08-21

Title: Recursive Two-Stage Models to Address Endogeneity
Description: Various recursive two-stage models to address the endogeneity issue of treatment variables in observational study or mediators in experiments. The details of the models are discussed in Peng (2023) <doi:10.1287/isre.2022.1113>.
Author: Jing Peng [aut, cre]
Maintainer: Jing Peng <jing.peng@uconn.edu>

Diff between endogeneity versions 2.1.3 dated 2023-08-21 and 2.1.4 dated 2025-01-16

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Package jmvReadWrite updated to version 0.4.9 with previous version 0.4.8 dated 2024-11-09

Title: Read and Write 'jamovi' Files ('.omv')
Description: The free and open a statistical spreadsheet 'jamovi' (<https://www.jamovi.org>) aims to make statistical analyses easy and intuitive. 'jamovi' produces syntax that can directly be used in R (in connection with the R-package 'jmv'). Having import / export routines for the data files 'jamovi' produces ('.omv') permits an easy transfer of data and analyses between 'jamovi' and R.
Author: Sebastian Jentschke [aut, cre, cph]
Maintainer: Sebastian Jentschke <sebastian.jentschke@uib.no>

Diff between jmvReadWrite versions 0.4.8 dated 2024-11-09 and 0.4.9 dated 2025-01-16

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Package bit64 updated to version 4.6.0-1 with previous version 4.5.2 dated 2024-09-22

Title: A S3 Class for Vectors of 64bit Integers
Description: Package 'bit64' provides serializable S3 atomic 64bit (signed) integers. These are useful for handling database keys and exact counting in +-2^63. WARNING: do not use them as replacement for 32bit integers, integer64 are not supported for subscripting by R-core and they have different semantics when combined with double, e.g. integer64 + double => integer64. Class integer64 can be used in vectors, matrices, arrays and data.frames. Methods are available for coercion from and to logicals, integers, doubles, characters and factors as well as many elementwise and summary functions. Many fast algorithmic operations such as 'match' and 'order' support inter- active data exploration and manipulation and optionally leverage caching.
Author: Michael Chirico [aut, cre], Jens Oehlschlaegel [aut], Leonardo Silvestri [ctb], Ofek Shilon [ctb]
Maintainer: Michael Chirico <michaelchirico4@gmail.com>

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Package unhcrthemes updated to version 0.6.3 with previous version 0.6.2 dated 2023-11-27

Title: UNHCR 'ggplot2' Theme and Colour Palettes
Description: A 'ggplot2' theme and color palettes following the United Nations High Commissioner for Refugees (UNHCR) Data Visualization Guidelines recommendations.
Author: Cedric Vidonne [aut, cre], Ahmadou Dicko [aut], UNHCR [cph]
Maintainer: Cedric Vidonne <cedric@vidonne.me>

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Package shapr updated to version 1.0.1 with previous version 0.2.2 dated 2023-05-04

Title: Prediction Explanation with Dependence-Aware Shapley Values
Description: Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known methods for estimating the Shapley values do, however, assume feature independence. This package implements methods which accounts for any feature dependence, and thereby produces more accurate estimates of the true Shapley values. An accompanying 'Python' wrapper ('shaprpy') is available through the GitHub repository.
Author: Martin Jullum [cre, aut] , Lars Henry Berge Olsen [aut] , Annabelle Redelmeier [aut], Jon Lachmann [aut] , Nikolai Sellereite [aut] , Anders Loeland [ctb], Jens Christian Wahl [ctb], Camilla Lingjaerde [ctb], Norsk Regnesentral [cph, fnd]
Maintainer: Martin Jullum <Martin.Jullum@nr.no>

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Package isopam updated to version 3.2 with previous version 3.1 dated 2025-01-08

Title: Clustering of Sites with Species Data
Description: Clustering algorithm developed for use with plot inventories of species. It groups plots by subsets of diagnostic species rather than overall species composition. There is an unsupervised and a supervised mode, the latter accepting suggestions for species with greater weight and cluster medoids.
Author: Sebastian Schmidtlein [aut, cre] , Jason Collison [aut], Robin Pfannendoerfer [aut], Lubomir Tichy [ctb]
Maintainer: Sebastian Schmidtlein <schmidtlein@kit.edu>

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Package DrugUtilisation updated to version 0.8.2 with previous version 0.8.1 dated 2024-12-19

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

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Package BaSTA updated to version 2.0.1 with previous version 2.0.0 dated 2024-07-08

Title: Age-Specific Bayesian Survival Trajectory Analysis from Incomplete Census or Capture-Recapture/Recovery Data
Description: Estimates survival and mortality with covariates from census or capture-recapture/recovery data in a Bayesian framework when many individuals are of unknown age. It includes tools for data checking, model diagnostics and outputs such as life-tables and plots, as described in Colchero, Jones, and Rebke (2012) <doi:10.1111/j.2041-210X.2012.00186.x> and Colchero et al. (2021) <doi:10.1038/s41467-021-23894-3>.
Author: Fernando Colchero [aut, cre], Owen Jones [ctb]
Maintainer: Fernando Colchero <fernando_colchero@eva.mpg.de>

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Package ClimMobTools updated to version 1.4 with previous version 1.2 dated 2024-01-25

Title: API Client for the 'ClimMob' Platform
Description: API client for 'ClimMob', an open source software for decentralized large-N trials with the 'tricot' approach <https://climmob.net/>. Developed by van Etten et al. (2019) <doi:10.1017/S0014479716000739>, it turns the research paradigm on its head; instead of a few researchers designing complicated trials to compare several technologies in search of the best solutions for the target environment, it enables many participants to carry out reasonably simple experiments that taken together can offer even more information. 'ClimMobTools' enables project managers to deep explore and analyse their 'ClimMob' data in R.
Author: Kaue de Sousa [aut, cre] , Jacob van Etten [aut] , Brandon Madriz [aut]
Maintainer: Kaue de Sousa <desousa.kaue@gmail.com>

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Package adaR updated to version 0.3.4 with previous version 0.3.3 dated 2024-07-12

Title: A Fast 'WHATWG' Compliant URL Parser
Description: A wrapper for 'ada-url', a 'WHATWG' compliant and fast URL parser written in modern 'C++'. Also contains auxiliary functions such as a public suffix extractor.
Author: David Schoch [aut, cre] , Chung-hong Chan [aut] , Yagiz Nizipli [ctb, cph] , Daniel Lemire [ctb, cph]
Maintainer: David Schoch <david@schochastics.net>

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Package admiralophtha updated to version 1.2.0 with previous version 1.1.0 dated 2024-06-19

Title: ADaM in R Asset Library - Ophthalmology
Description: Aids the programming of Clinical Data Standards Interchange Consortium (CDISC) compliant Ophthalmology Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).
Author: Edoardo Mancini [aut, cre] , Ritika Aggarwal [aut], Jane Gao [aut], William Holmes [aut], Josie Jackson [aut], Sonali Jain [aut], Yuki Matsunaga [aut], Gordon Miller [aut], Rachel Linacre [aut], Lucy Palmen [aut], Nandini R Thampi [aut], Aldrich Salv [...truncated...]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

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Package randomForestSRC updated to version 3.3.3 with previous version 3.3.2 dated 2025-01-13

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package mlr3fselect updated to version 1.3.0 with previous version 1.2.1 dated 2024-11-07

Title: Feature Selection for 'mlr3'
Description: Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3' learner. The package works with several optimization algorithms e.g. Random Search, Recursive Feature Elimination, and Genetic Search. Moreover, it can automatically optimize learners and estimate the performance of optimized feature sets with nested resampling.
Author: Marc Becker [aut, cre] , Patrick Schratz [aut] , Michel Lang [aut] , Bernd Bischl [aut] , John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package drda updated to version 2.0.5 with previous version 2.0.4 dated 2024-08-21

Title: Dose-Response Data Analysis
Description: Fit logistic functions to observed dose-response continuous data and evaluate goodness-of-fit measures. See Malyutina A., Tang J., and Pessia A. (2023) <doi:10.18637/jss.v106.i04>.
Author: Alberto Pessia [aut, cre] , Alina Malyutina [ctb]
Maintainer: Alberto Pessia <dev@albertopessia.com>

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Package cjar updated to version 0.2.0 with previous version 0.1.2 dated 2022-04-18

Title: R Client for 'Customer Journey Analytics' ('CJA') API
Description: Connect and pull data from the 'CJA' API, which powers 'CJA Workspace' <https://github.com/AdobeDocs/cja-apis>. The package was developed with the analyst in mind and will continue to be developed with the guiding principles of iterative, repeatable, timely analysis. New features are actively being developed and we value your feedback and contribution to the process.
Author: Ben Woodard [aut, cre], Charles Gallagher [ctb], Braxton Butcher [ctb]
Maintainer: Ben Woodard <benrwoodard@gmail.com>

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Package bittermelon updated to version 2.1.1 with previous version 2.0.2 dated 2024-06-25

Title: Bitmap Tools
Description: Provides functions for creating, modifying, and displaying bitmaps including printing them in the terminal. There is a special emphasis on monochrome bitmap fonts and their glyphs as well as colored pixel art/sprites. Provides native read/write support for the 'hex' and 'yaff' bitmap font formats and if 'monobit' <https://github.com/robhagemans/monobit> is installed can also read/write several additional bitmap font formats.
Author: Trevor L. Davis [aut, cre] , Frederic Cambus [tyg] , Markus Kuhn [tyg] , josehzz [art]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

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Package stacking updated to version 0.2.1 with previous version 0.1.3 dated 2024-09-11

Title: Building Predictive Models with Stacking
Description: Building predictive models with stacking which is a type of ensemble learning. Learners can be specified from those implemented in 'caret'. For more information of the package, see Nukui and Onogi (2023) <doi:10.1101/2023.06.06.543970>.
Author: Taichi Nukui [aut, cph], Tomohiro Ishibashi [aut, cph], Akio Onogi [aut, cre, cph]
Maintainer: Akio Onogi <onogiakio@gmail.com>

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Package IncidencePrevalence updated to version 1.0.0 with previous version 0.9.0 dated 2024-11-27

Title: Estimate Incidence and Prevalence using the OMOP Common Data Model
Description: Calculate incidence and prevalence using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Incidence and prevalence can be estimated for the total population in a database or for a stratification cohort.
Author: Edward Burn [aut, cre] , Berta Raventos [aut] , Marti Catala [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Ger Inberg [ctb] , Kim Lopez [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package chooseGCM updated to version 1.0.2 with previous version 1.0.1 dated 2024-11-21

Title: Selecting General Circulation Models for Species Distribution Modeling
Description: Methods to help selecting General Circulation Models (GCMs) in the context of projecting models to future scenarios. It is provided clusterization algorithms, distance and correlation metrics, as well as a tailor-made algorithm to detect the optimum subset of GCMs that recreate the environment of all GCMs as proposed in Esser et al. (2025) <doi:10.1111/gcb.70008>.
Author: Dayani Bailly [aut] , Reginaldo Re [aut] , Marcos R. Lima [aut] , Luiz Esser [aut, cre, cph]
Maintainer: Luiz Esser <luizesser@gmail.com>

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Package bbw updated to version 0.3.0 with previous version 0.2.0 dated 2022-05-29

Title: Blocked Weighted Bootstrap
Description: The blocked weighted bootstrap (BBW) is an estimation technique for use with data from two-stage cluster sampled surveys in which either prior weighting (e.g. population-proportional sampling or PPS as used in Standardized Monitoring and Assessment of Relief and Transitions or SMART surveys) or posterior weighting (e.g. as used in rapid assessment method or RAM and simple spatial sampling method or S3M surveys) is implemented. See Cameron et al (2008) <doi:10.1162/rest.90.3.414> for application of bootstrap to cluster samples. See Aaron et al (2016) <doi:10.1371/journal.pone.0163176> and Aaron et al (2016) <doi:10.1371/journal.pone.0162462> for application of the blocked weighted bootstrap to estimate indicators from two-stage cluster sampled surveys.
Author: Mark Myatt [aut, cph], Ernest Guevarra [aut, cre, cph]
Maintainer: Ernest Guevarra <ernestgmd@gmail.com>

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Package adobeanalyticsr updated to version 0.5.0 with previous version 0.4.0 dated 2023-11-09

Title: R Client for 'Adobe Analytics' API 2.0
Description: Connect to the 'Adobe Analytics' API v2.0 <https://github.com/AdobeDocs/analytics-2.0-apis> which powers 'Analysis Workspace'. The package was developed with the analyst in mind, and it will continue to be developed with the guiding principles of iterative, repeatable, timely analysis.
Author: Ben Woodard [aut, cre], Tim Wilson [aut, ctb], Charles Gallagher [ctb], Mark Edmondson [ctb]
Maintainer: Ben Woodard <benrwoodard@gmail.com>

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Package paramDemo updated to version 1.0.2 with previous version 1.0.1 dated 2024-07-09

Title: Parametric and Non-Parametric Demographic Functions and Applications
Description: Calculate parametric mortality and Fertility models, following packages 'BaSTA' in Colchero, Jones and Rebke (2012) <doi:10.1111/j.2041-210X.2012.00186.x> and 'BaFTA' <https://github.com/fercol/BaFTA>, summary statistics (e.g. ageing rates, life expectancy, lifespan equality, etc.), life table and product limit estimators from census data.
Author: Fernando Colchero [aut, cre]
Maintainer: Fernando Colchero <fernando_colchero@eva.mpg.de>

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Package chem16S updated to version 1.2.0 with previous version 1.1.0 dated 2024-07-01

Title: Chemical Metrics for Microbial Communities
Description: Combines taxonomic classifications of high-throughput 16S rRNA gene sequences with reference proteomes of archaeal and bacterial taxa to generate amino acid compositions of community reference proteomes. Calculates chemical metrics including carbon oxidation state ('Zc'), stoichiometric oxidation and hydration state ('nO2' and 'nH2O'), H/C, N/C, O/C, and S/C ratios, grand average of hydropathicity ('GRAVY'), isoelectric point ('pI'), protein length, and average molecular weight of amino acid residues. Uses precomputed reference proteomes for archaea and bacteria derived from the Genome Taxonomy Database ('GTDB'). Also includes reference proteomes derived from the NCBI Reference Sequence ('RefSeq') database and manual mapping from the 'RDP Classifier' training set to 'RefSeq' taxonomy as described by Dick and Tan (2023) <doi:10.1007/s00248-022-01988-9>. Processes taxonomic classifications in 'RDP Classifier' format or OTU tables in 'phyloseq-class' objects from the Bioconductor pa [...truncated...]
Author: Jeffrey Dick [aut, cre]
Maintainer: Jeffrey Dick <j3ffdick@gmail.com>

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More information about chem16S at CRAN
Permanent link

Wed, 15 Jan 2025

Package spacesRGB updated to version 1.7-0 with previous version 1.6-1 dated 2024-11-17

Title: Standard and User-Defined RGB Color Spaces, with Conversion Between RGB and CIE XYZ and Lab
Description: Standard RGB spaces included are sRGB, 'Adobe' RGB, 'ProPhoto' RGB, BT.709, and others. User-defined RGB spaces are also possible. There is partial support for ACES Color workflows.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between spacesRGB versions 1.6-1 dated 2024-11-17 and 1.7-0 dated 2025-01-15

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More information about spacesRGB at CRAN
Permanent link

Package DatabaseConnector updated to version 6.3.3 with previous version 6.3.2 dated 2023-12-11

Title: Connecting to Various Database Platforms
Description: An R 'DataBase Interface' ('DBI') compatible interface to various database platforms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server', 'Amazon Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache Impala', 'Google BigQuery', 'Snowflake', 'Spark', and 'SQLite'). Also includes support for fetching data as 'Andromeda' objects. Uses either 'Java Database Connectivity' ('JDBC') or other 'DBI' drivers to connect to databases.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Observational Health Data Science and Informatics [cph], Microsoft Inc. [cph] , PostgreSQL Global Development Group [cph] , Oracle Inc. [cph] , Amazon Inc. [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between DatabaseConnector versions 6.3.2 dated 2023-12-11 and 6.3.3 dated 2025-01-15

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 DatabaseConnector-6.3.3/DatabaseConnector/DESCRIPTION                                                         |   10 
 DatabaseConnector-6.3.3/DatabaseConnector/MD5                                                                 |  174 ++++------
 DatabaseConnector-6.3.3/DatabaseConnector/NAMESPACE                                                           |   10 
 DatabaseConnector-6.3.3/DatabaseConnector/NEWS.md                                                             |   14 
 DatabaseConnector-6.3.3/DatabaseConnector/R/Andromeda.R                                                       |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/R/BulkLoad.R                                                        |   16 
 DatabaseConnector-6.3.3/DatabaseConnector/R/Compression.R                                                     |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/R/Connect.R                                                         |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/R/CtasHack.R                                                        |   40 ++
 DatabaseConnector-6.3.3/DatabaseConnector/R/DBI.R                                                             |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/R/DataHash.R                                                        |    4 
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 DatabaseConnector-6.3.3/DatabaseConnector/R/DbiDateFunctions.R                                                |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/R/Drivers.R                                                         |   68 ++-
 DatabaseConnector-6.3.3/DatabaseConnector/R/HelperFunctions.R                                                 |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/R/InsertTable.R                                                     |    4 
 DatabaseConnector-6.3.3/DatabaseConnector/R/ListTables.R                                                      |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/R/RStudio.R                                                         |   12 
 DatabaseConnector-6.3.3/DatabaseConnector/R/Sql.R                                                             |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/README.md                                                           |    4 
 DatabaseConnector-6.3.3/DatabaseConnector/build/vignette.rds                                                  |binary
 DatabaseConnector-6.3.3/DatabaseConnector/inst/doc/Connecting.R                                               |   53 +--
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 DatabaseConnector-6.3.3/DatabaseConnector/man/dbms.Rd                                                         |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/man/disconnect.Rd                                                   |    2 
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 DatabaseConnector-6.3.3/DatabaseConnector/man/executeSql.Rd                                                   |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/man/existsTable.Rd                                                  |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/man/getTableNames.Rd                                                |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/man/insertTable.Rd                                                  |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/man/jdbcDrivers.Rd                                                  |    4 
 DatabaseConnector-6.3.3/DatabaseConnector/man/lowLevelExecuteSql.Rd                                           |    2 
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 DatabaseConnector-6.3.3/DatabaseConnector/man/lowLevelQuerySqlToAndromeda.Rd                                  |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/man/querySql.Rd                                                     |    2 
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 DatabaseConnector-6.3.3/DatabaseConnector/man/renderTranslateQuerySqlToAndromeda.Rd                           |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/tests/testthat/dbplyrTestFunction.R                                 |   15 
 DatabaseConnector-6.3.3/DatabaseConnector/tests/testthat/setup.R                                              |   30 +
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 DatabaseConnector-6.3.3/DatabaseConnector/tests/testthat/test-insertTable.R                                   |    2 
 DatabaseConnector-6.3.3/DatabaseConnector/tests/testthat/test-sendUpdates.R                                   |   22 -
 DatabaseConnector-6.3.3/DatabaseConnector/vignettes/Connecting.Rmd                                            |   42 ++
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More information about DatabaseConnector at CRAN
Permanent link

Package astsa updated to version 2.2 with previous version 2.1 dated 2024-01-10

Title: Applied Statistical Time Series Analysis
Description: Contains data sets and scripts for analyzing time series in both the frequency and time domains including state space modeling as well as supporting the texts Time Series Analysis and Its Applications: With R Examples (5th ed), by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2025, <https://link.springer.com/book/9783031705830>, and Time Series: A Data Analysis Approach Using R. Chapman-Hall, 2019, <DOI:10.1201/9780429273285>.
Author: David Stoffer [aut, cre], Nicky Poison [ctb, mus, spy]
Maintainer: David Stoffer <stoffer@pitt.edu>

Diff between astsa versions 2.1 dated 2024-01-10 and 2.2 dated 2025-01-15

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More information about astsa at CRAN
Permanent link

Package VisitorCounts updated to version 2.0.3 with previous version 2.0.2 dated 2024-08-17

Title: Modeling and Forecasting Visitor Counts Using Social Media
Description: Performs modeling and forecasting of park visitor counts using social media data and (partial) on-site visitor counts. Specifically, the model is built based on an automatic decomposition of the trend and seasonal components of the social media-based park visitor counts, from which short-term forecasts of the visitor counts and percent changes in the visitor counts can be made. A reference for the underlying model that 'VisitorCounts' uses can be found at Russell Goebel, Austin Schmaltz, Beth Ann Brackett, Spencer A. Wood, Kimihiro Noguchi (2023) <doi:10.1002/for.2965> .
Author: Robert Bowen [aut, cre], Russell Goebel [aut], Beth Ann Brackett [ctb], Kimihiro Noguchi [aut], Dylan Way [aut]
Maintainer: Robert Bowen <robertbowen.bham@gmail.com>

Diff between VisitorCounts versions 2.0.2 dated 2024-08-17 and 2.0.3 dated 2025-01-15

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 15 files changed, 375 insertions(+), 142 deletions(-)

More information about VisitorCounts at CRAN
Permanent link


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