Thu, 29 May 2025

Package OPCreg updated to version 2.0.0 with previous version 1.0.0 dated 2025-05-21

Title: Online Principal Component Regression for Online Datasets
Description: The online principal component regression method can process the online data set. 'OPCreg' implements the online principal component regression method, which is specifically designed to process online datasets efficiently. This method is particularly useful for handling large-scale, streaming data where traditional batch processing methods may be computationally infeasible.The philosophy of the package is described in 'Guo' (2025) <doi:10.1016/j.physa.2024.130308>.
Author: Guangbao Guo [aut, cre] , Chunjie Wei [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Package mrbin updated to version 1.9.3 with previous version 1.9.2 dated 2025-05-19

Title: Metabolomics Data Analysis Functions
Description: A collection of functions for processing and analyzing metabolite data. The namesake function mrbin() converts 1D or 2D Nuclear Magnetic Resonance data into a matrix of values suitable for further data analysis and performs basic processing steps in a reproducible way. Negative values, a common issue in such data, can be replaced by positive values (<doi:10.1021/acs.jproteome.0c00684>). All used parameters are stored in a readable text file and can be restored from that file to enable exact reproduction of the data at a later time. The function fia() ranks features according to their impact on classifier models, especially artificial neural network models.
Author: Matthias Klein [aut, cre]
Maintainer: Matthias Klein <matthias.s.klein@gmx.net>

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Package pald updated to version 0.0.5 with previous version 0.0.4 dated 2024-04-18

Title: Partitioned Local Depth for Community Structure in Data
Description: Implementation of the Partitioned Local Depth (PaLD) approach which provides a measure of local depth and the cohesion of a point to another which (together with a universal threshold for distinguishing strong and weak ties) may be used to reveal local and global structure in data, based on methods described in Berenhaut, Moore, and Melvin (2022) <doi:10.1073/pnas.2003634119>. No extraneous inputs, distributional assumptions, iterative procedures nor optimization criteria are employed. This package includes functions for computing local depths and cohesion as well as flexible functions for plotting community networks and displays of cohesion against distance.
Author: Katherine Moore [aut] , Kenneth Berenhaut [aut], Lucy D'Agostino McGowan [aut, cre]
Maintainer: Lucy D'Agostino McGowan <lucydagostino@gmail.com>

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Package pacu updated to version 0.1.63 with previous version 0.1.44 dated 2024-12-17

Title: Precision Agriculture Computational Utilities
Description: Support for a variety of commonly used precision agriculture operations. Includes functions to download and process raw satellite images from Sentinel-2 <https://documentation.dataspace.copernicus.eu/APIs/OData.html>. Includes functions that download vegetation index statistics for a given period of time, without the need to download the raw images <https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Statistical.html>. There are also functions to download and visualize weather data in a historical context. Lastly, the package also contains functions to process yield monitor data. These functions can build polygons around recorded data points, evaluate the overlap between polygons, clean yield data, and smooth yield maps.
Author: dos Santos Caio [aut, cre], Miguez Fernando [aut]
Maintainer: dos Santos Caio <clsantos@iastate.edu>

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Package T4transport updated to version 0.1.3 with previous version 0.1.2 dated 2023-04-11

Title: Tools for Computational Optimal Transport
Description: Transport theory has seen much success in many fields of statistics and machine learning. We provide a variety of algorithms to compute Wasserstein distance, barycenter, and others. See Peyré and Cuturi (2019) <doi:10.1561/2200000073> for the general exposition to the study of computational optimal transport.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package shelter updated to version 0.2.0 with previous version 0.1.1 dated 2024-11-07

Title: Support for Secure API Key Management
Description: Secure handling of API keys can be difficult. This package provides secure convenience functions for entering / handling API keys and opening connections via inversion of control on those keys. Works seamlessly between production and developer environments.
Author: Benjamin Nutter [ctb, aut], Shawn Garbett [cre, ctb] , Hui Wu [aut], Cole Beck [aut], Savannah Obregon [aut]
Maintainer: Shawn Garbett <Shawn.Garbett@vumc.org>

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Package pomdp updated to version 1.2.5 with previous version 1.2.4 dated 2024-12-05

Title: Infrastructure for Partially Observable Markov Decision Processes (POMDP)
Description: Provides the infrastructure to define and analyze the solutions of Partially Observable Markov Decision Process (POMDP) models. Interfaces for various exact and approximate solution algorithms are available including value iteration, point-based value iteration and SARSOP. Hahsler and Cassandra <doi:10.32614/RJ-2024-021>.
Author: Michael Hahsler [aut, cph, cre] , Hossein Kamalzadeh [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package GofCens updated to version 1.5 with previous version 1.2.1 dated 2024-11-09

Title: Goodness-of-Fit Methods for Right-Censored Data
Description: Graphical tools and goodness-of-fit tests for right-censored data: 1. Kolmogorov-Smirnov, Cramér-von Mises, and Anderson-Darling tests, which use the empirical distribution function for complete data and are extended for right-censored data. 2. Generalized chi-squared-type test, which is based on the squared differences between observed and expected counts using random cells with right-censored data. 3. A series of graphical tools such as probability or cumulative hazard plots to guide the decision about the most suitable parametric model for the data. These functions share several features as they can handle both complete and right-censored data, and they provide parameter estimates for the distributions under study.
Author: Klaus Langohr [aut, cre] , Mireia Besalu [aut] , Matilde Francisco [aut] , Arnau Garcia [aut] , Guadalupe Gomez [aut]
Maintainer: Klaus Langohr <klaus.langohr@upc.edu>

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Package arules updated to version 1.7-11 with previous version 1.7-10 dated 2025-04-22

Title: Mining Association Rules and Frequent Itemsets
Description: Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides C implementations of the association mining algorithms Apriori and Eclat. Hahsler, Gruen and Hornik (2005) <doi:10.18637/jss.v014.i15>.
Author: Michael Hahsler [aut, cre, cph] , Christian Buchta [aut, cph], Bettina Gruen [aut, cph], Kurt Hornik [aut, cph] , Christian Borgelt [ctb, cph], Ian Johnson [ctb], Makhlouf Ledmi [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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New package survregVB with initial version 0.0.1
Package: survregVB
Title: Variational Bayesian Analysis of Survival Data
Version: 0.0.1
Description: Implements Bayesian inference in accelerated failure time (AFT) models for right-censored survival times assuming a log-logistic distribution. Details of the variational Bayes algorithms, with and without shared frailty, are described in Xian et al. (2024) <doi:10.1007/s11222-023-10365-6> and Xian et al. (2024) <doi:10.48550/arXiv.2408.00177>, respectively.
URL: https://github.com/chengqianxian/survregVB
License: MIT + file LICENSE | LGPL-2
Encoding: UTF-8
Imports: stats, bayestestR, invgamma
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), survival
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-05-27 17:34:01 UTC; alisonzhang
Author: Alison Zhang [aut, cre]
Maintainer: Alison Zhang <alisonxzhang@gmail.com>
Repository: CRAN
Date/Publication: 2025-05-29 19:40:02 UTC

More information about survregVB at CRAN
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New package surveySimR with initial version 0.1.0
Package: surveySimR
Title: Estimation of Population Total under Complex Sampling Design
Version: 0.1.0
Depends: R(>= 2.10)
Suggests: roxygen2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Description: Sample surveys use scientific methods to draw inferences about population parameters by observing a representative part of the population, called sample. The SRSWOR (Simple Random Sampling Without Replacement) is one of the most widely used probability sampling designs, wherein every unit has an equal chance of being selected and units are not repeated.This function draws multiple SRSWOR samples from a finite population and estimates the population parameter i.e. total of HT, Ratio, and Regression estimators. Repeated simulations (e.g., 500 times) are used to assess and compare estimators using metrics such as percent relative bias (%RB), percent relative root means square error (%RRMSE).For details on sampling methodology, see, Cochran (1977) "Sampling Techniques" <https://archive.org/details/samplingtechniqu0000coch_t4x6>.
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: shiny, moments, stats
NeedsCompilation: no
Packaged: 2025-05-27 12:50:53 UTC; Asus
Author: Nobin Chandra Paul [aut, cre, cph], Santosha Rathod [aut, cph], Navyasree Ponnaganti [aut, cph]
Maintainer: Nobin Chandra Paul <ncp375@gmail.com>
Repository: CRAN
Date/Publication: 2025-05-29 19:30:01 UTC

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Package RcppPlanc updated to version 2.0.12 with previous version 2.0.11 dated 2025-05-23

Title: Parallel Low-Rank Approximation with Nonnegativity Constraints
Description: 'Rcpp' bindings for 'PLANC', a highly parallel and extensible NMF/NTF (Non-negative Matrix/Tensor Factorization) library. Wraps algorithms described in Kannan et. al (2018) <doi:10.1109/TKDE.2017.2767592> and Eswar et. al (2021) <doi:10.1145/3432185>. Implements algorithms described in Welch et al. (2019) <doi:10.1016/j.cell.2019.05.006>, Gao et al. (2021) <doi:10.1038/s41587-021-00867-x>, and Kriebel & Welch (2022) <doi:10.1038/s41467-022-28431-4>.
Author: Andrew Robbins [aut, cre] , Yichen Wang [aut], Joshua Welch [cph] , Ramakrishnan Kannan [cph] , Conrad Sanderson [cph] , Blue Brain Project/EPFL [cph] , UT-Batelle [cph]
Maintainer: Andrew Robbins <robbiand@umich.edu>

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Package polykde updated to version 1.1.4 with previous version 1.1.3 dated 2025-04-15

Title: Polyspherical Kernel Density Estimation
Description: Kernel density estimation on the polysphere, (hyper)sphere, and circle. Includes functions for density estimation, regression estimation, ridge estimation, bandwidth selection, kernels, samplers, and homogeneity tests. Companion package to García-Portugués and Meilán-Vila (2024) <doi:10.48550/arXiv.2411.04166> and García-Portugués and Meilán-Vila (2023) <doi:10.1007/978-3-031-32729-2_4>.
Author: Eduardo Garcia-Portugues [aut, cre] , Andrea Meilan-Vila [ctb]
Maintainer: Eduardo Garcia-Portugues <edgarcia@est-econ.uc3m.es>

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Package odr updated to version 1.5.0 with previous version 1.4.4 dated 2023-08-08

Title: Optimal Design and Statistical Power for Experimental Studies Investigating Main, Mediation, and Moderation Effects
Description: Calculate the optimal sample size allocation that uses the minimum resources to achieve targeted statistical power in experiments. Perform power analyses with and without accommodating costs and budget. The designs cover single-level and multilevel experiments detecting main, mediation, and moderation effects (and some combinations). The references for the proposed methods include: (1) Shen, Z., & Kelcey, B. (2020). Optimal sample allocation under unequal costs in cluster-randomized trials. Journal of Educational and Behavioral Statistics, 45(4): 446-474. <doi:10.3102/1076998620912418>. (2) Shen, Z., & Kelcey, B. (2022b). Optimal sample allocation for three-level multisite cluster-randomized trials. Journal of Research on Educational Effectiveness, 15 (1), 130-150. <doi:10.1080/19345747.2021.1953200>. (3) Shen, Z., & Kelcey, B. (2022a). Optimal sample allocation in multisite randomized trials. The Journal of Experimental Education, 90(3), 693-711. <doi:10.108 [...truncated...]
Author: Zuchao Shen [aut, cre] , Benjamin Kelcey [aut]
Maintainer: Zuchao Shen <zuchao.shen@gmail.com>

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Package MultiLevelOptimalBayes updated to version 0.0.1.6 with previous version 0.0.1.5 dated 2025-05-27

Title: Regularized Bayesian Estimator for Two-Level Latent Variable Models
Description: Implements a regularized Bayesian estimator that optimizes the estimation of between-group coefficients for multilevel latent variable models by minimizing mean squared error (MSE) and balancing variance and bias. The package provides more reliable estimates in scenarios with limited data, offering a robust solution for accurate parameter estimation in two-level latent variable models. It is designed for researchers in psychology, education, and related fields who face challenges in estimating between-group effects under small sample sizes and low intraclass correlation coefficients. Dashuk et al. (2024) <doi:10.13140/RG.2.2.18148.39048> derived the optimal regularized Bayesian estimator; Dashuk et al. (2024) <doi:10.13140/RG.2.2.34350.01604> extended it to the multivariate case; and Luedtke et al. (2008) <doi:10.1037/a0012869> formalized the two-level latent variable framework.
Author: Valerii Dashuk [aut, cre], Binayak Timilsina [aut], Martin Hecht [aut], Steffen Zitzmann [aut]
Maintainer: Valerii Dashuk <vadashuk@gmail.com>

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Package loon updated to version 1.4.2 with previous version 1.4.1 dated 2023-06-15

Title: Interactive Statistical Data Visualization
Description: An extendable toolkit for interactive data visualization and exploration.
Author: Adrian Waddell [aut], R. Wayne Oldford [aut, cre, ths], Zehao Xu [ctb], Martin Gauch [ctb]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>

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Package gutenbergr updated to version 0.3.0 with previous version 0.2.4 dated 2023-11-12

Title: Download and Process Public Domain Works from Project Gutenberg
Description: Download and process public domain works in the Project Gutenberg collection <https://www.gutenberg.org/>. Includes metadata for all Project Gutenberg works, so that they can be searched and retrieved.
Author: Jon Harmon [aut, cre] , Myfanwy Johnston [aut], Jordan Bradford [aut] , David Robinson [aut, cph]
Maintainer: Jon Harmon <jonthegeek@gmail.com>

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New package emf with initial version 0.1.0
Package: emf
Title: Ecosystem Multifunctionality: Richness, Divergence, and Regularity
Version: 0.1.0
Date: 2025-5-27
Maintainer: Yan He <heyan@njfu.edu.cn>
Description: Analyzes and quantifies ecosystem multifunctionality with functions to calculate multifunctionality richness (MFric), multifunctionality divergence (MFdiv), and multifunctionality regularity (MFreg). These indices help assess the relationship between biodiversity and multiple ecosystem functions. For more details, see Byrnes et al. (2014) <doi:10.1111/2041-210X.12143> and Chao et al. (2024) <doi:10.1111/ele.14336>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-05-27 14:56:13 UTC; Administrator
Author: Yan He [aut, cre], Lingfeng Mao [aut]
Repository: CRAN
Date/Publication: 2025-05-29 19:40:24 UTC

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New package bases with initial version 0.1.2
Package: bases
Title: Basis Expansions for Regression Modeling
Version: 0.1.2
Description: Provides various basis expansions for flexible regression modeling, including random Fourier features (Rahimi & Recht, 2007) <https://proceedings.neurips.cc/paper_files/paper/2007/file/013a006f03dbc5392effeb8f18fda755-Paper.pdf>, exact kernel / Gaussian process feature maps, Bayesian Additive Regression Trees (BART) (Chipman et al., 2010) <doi:10.1214/09-AOAS285> prior features, and a helpful interface for n-way interactions. The provided functions may be used within any modeling formula, allowing the use of kernel methods and other basis expansions in modeling functions that do not otherwise support them. Along with the basis expansions, a number of kernel functions are also provided, which support kernel arithmetic to form new kernels. Basic ridge regression functionality is included as well.
Depends: R (>= 3.6.0)
Imports: rlang, stats
Suggests: recipes, tibble, testthat (>= 3.0.0), knitr, rmarkdown
LinkingTo: cpp11
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://corymccartan.com/bases/, https://github.com/CoryMcCartan/bases/
BugReports: https://github.com/CoryMcCartan/bases/issues
NeedsCompilation: yes
Packaged: 2025-05-27 18:12:05 UTC; cmccartan
Author: Cory McCartan [aut, cre, cph]
Maintainer: Cory McCartan <mccartan@psu.edu>
Repository: CRAN
Date/Publication: 2025-05-29 19:40:27 UTC

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New package APTIcalc with initial version 0.1.0
Package: APTIcalc
Title: Air Pollution Tolerance Index (APTI) Calculator
Version: 0.1.0
Depends: R (>= 3.5.0)
Suggests: roxygen2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Description: It calculates the Air Pollution Tolerance Index (APTI) of plant species using biochemical parameters such as chlorophyll content, leaf extract pH, relative water content, and ascorbic acid content. It helps in identifying tolerant species for greenbelt development and pollution mitigation studies. It includes a 'shiny' app for interactive APTI calculation and visualisation. For method details see, Sahu et al. (2020).<DOI:10.1007/s42452-020-3120-6>.
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: shiny, ggplot2
LazyData: true
NeedsCompilation: no
Packaged: 2025-05-27 12:26:31 UTC; Asus
Author: Nobin Chandra Paul [aut, cre, cph], Rupali Singh [aut, cph], Sangram B Chavan [aut, cph], Navyasree Ponnaganti [aut, cph]
Maintainer: Nobin Chandra Paul <ncp375@gmail.com>
Repository: CRAN
Date/Publication: 2025-05-29 19:10:02 UTC

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New package TVMVP with initial version 1.0.4
Package: TVMVP
Title: Time-Varying Minimum Variance Portfolio
Version: 1.0.4
Date: 2025-05-20
Description: Provides the estimation of a time-dependent covariance matrix of returns with the intended use for portfolio optimization. The package offers methods for determining the optimal number of factors to be used in the covariance estimation, a hypothesis test of time-varying covariance, and user-friendly functions for portfolio optimization and rolling window evaluation. The local PCA method, method for determining the number of factors, and associated hypothesis test are based on Su and Wang (2017) <doi:10.1016/j.jeconom.2016.12.004>. The approach to time-varying portfolio optimization follows Fan et al. (2024) <doi:10.1016/j.jeconom.2022.08.007>. The regularisation applied to the residual covariance matrix adopts the technique introduced by Chen et al. (2019) <doi:10.1016/j.jeconom.2019.04.025>.
License: MIT + file LICENSE
URL: https://github.com/erilill/TV-MVP
BugReports: https://github.com/erilill/TV-MVP/issues
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: R6, cli, prettyunits
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-05-27 11:38:05 UTC; erikl_xzy542i
Author: Erik Lillrank [aut, cre] , Yukai Yang [aut]
Maintainer: Erik Lillrank <erik.lillrank@gmail.com>
Repository: CRAN
Date/Publication: 2025-05-29 18:10:01 UTC

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New package SpoMAG with initial version 0.1.0
Package: SpoMAG
Title: Probability of Sporulation Potential in MAGs
Version: 0.1.0
Description: Implements an ensemble machine learning approach to predict the sporulation potential of metagenome-assembled genomes (MAGs) from uncultivated Firmicutes based on the presence/absence of sporulation-associated genes.
License: Artistic-2.0
Encoding: UTF-8
Imports: dplyr, tidyr, tibble, stats
Suggests: testthat (>= 3.0.0), caret, kernlab, randomForest, readr
NeedsCompilation: no
Packaged: 2025-05-27 12:19:32 UTC; douglas
Author: Douglas Terra Machado [aut, cre] , Otavio Jose Bernardes Brustolini [ctb] , Ellen dos Santos Correa [ctb], Ana Tereza Ribeiro Vasconcelos [ctb]
Maintainer: Douglas Terra Machado <dougterra@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-05-29 18:20:09 UTC

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New package rcoins with initial version 0.3.2
Package: rcoins
Title: Identify Naturally Continuous Lines in a Spatial Network
Version: 0.3.2
Description: Provides functionality to group lines that form naturally continuous lines in a spatial network. The algorithm implemented is based on the Continuity in Street Networks (COINS) method from Tripathy et al. (2021) <doi:10.1177/2399808320967680>, which identifies continuous "strokes" in the network as the line strings that maximize the angles between consecutive segments.
License: Apache License (>= 2)
URL: https://cityriverspaces.github.io/rcoins/, https://doi.org/10.5281/zenodo.14501805, https://github.com/CityRiverSpaces/rcoins
BugReports: https://github.com/CityRiverSpaces/rcoins/issues
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown, sfnetworks, testthat (>= 3.0.0)
Imports: dplyr, rlang, sf, sfheaders
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-05-27 11:46:37 UTC; fnattino
Author: Francesco Nattino [aut, cre, cph] , Claudiu Forgaci [aut] , Fakhereh Alidoost [aut] , Thijs van Lankveld [ctb] , Netherlands eScience Center [fnd]
Maintainer: Francesco Nattino <f.nattino@esciencecenter.nl>
Repository: CRAN
Date/Publication: 2025-05-29 18:20:02 UTC

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New package glmmsel with initial version 1.0.2
Package: glmmsel
Title: Generalised Linear Mixed Model Selection
Version: 1.0.2
Description: Provides tools for fitting sparse generalised linear mixed models with l0 regularisation. Selects fixed and random effects under the hierarchy constraint that fixed effects must precede random effects. Uses coordinate descent and local search algorithms to rapidly deliver near-optimal estimates. Gaussian and binomial response families are currently supported. For more details see Stroup, Ptukhina, and Garai (2024) <doi:10.1201/9780429092060>.
URL: https://github.com/ryan-thompson/glmmsel
BugReports: https://github.com/ryan-thompson/glmmsel/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown, lme4, MASS, nlme
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-05-27 12:16:37 UTC; ryan
Author: Ryan Thompson [aut, cre]
Maintainer: Ryan Thompson <ryan.thompson-1@uts.edu.au>
Repository: CRAN
Date/Publication: 2025-05-29 18:20:05 UTC

More information about glmmsel at CRAN
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Package promises updated to version 1.3.3 with previous version 1.3.2 dated 2024-11-27

Title: Abstractions for Promise-Based Asynchronous Programming
Description: Provides fundamental abstractions for doing asynchronous programming in R using promises. Asynchronous programming is useful for allowing a single R process to orchestrate multiple tasks in the background while also attending to something else. Semantics are similar to 'JavaScript' promises, but with a syntax that is idiomatic R.
Author: Joe Cheng [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Joe Cheng <joe@posit.co>

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Package loon.data updated to version 0.1.4 with previous version 0.1.3 dated 2021-05-13

Title: Data Used to Illustrate 'Loon' Functionality
Description: Data used as examples in the 'loon' package.
Author: R. Wayne Oldford [aut, cre], Adrian Waddell [aut]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>

Diff between loon.data versions 0.1.3 dated 2021-05-13 and 0.1.4 dated 2025-05-29

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Package CompositionalRF updated to version 1.2 with previous version 1.1 dated 2025-05-07

Title: Multivariate Random Forest with Compositional Responses
Description: Non linear regression with compositional responses and Euclidean predictors is performed. The compositional data are first transformed using the additive log-ratio transformation, and then the multivariate random forest of Rahman R., Otridge J. and Pal R. (2017), <doi:10.1093/bioinformatics/btw765>, is applied.
Author: Michail Tsagris [aut, cre], Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package worldbank updated to version 0.6.0 with previous version 0.5.0 dated 2025-01-27

Title: Client for World Banks's 'Indicators' and 'Poverty and Inequality Platform (PIP)' APIs
Description: Download and search data from the 'World Bank Indicators API', which provides access to nearly 16,000 time series indicators. See <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation> for further details about the API.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

Diff between worldbank versions 0.5.0 dated 2025-01-27 and 0.6.0 dated 2025-05-29

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Package psc updated to version 1.3.0 with previous version 1.2.0 dated 2025-04-10

Title: Personalised Synthetic Controls
Description: Allows the comparison of data cohorts (DC) against a Counter Factual Model (CFM) and measures the difference in terms of an efficacy parameter. Allows the application of Personalised Synthetic Controls.
Author: Richard Jackson [cre, aut, cph]
Maintainer: Richard Jackson <richJ23@liverpool.ac.uk>

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Package parzer updated to version 0.4.3 with previous version 0.4.2 dated 2025-05-19

Title: Parse Messy Geographic Coordinates
Description: Parse messy geographic coordinates from various character formats to decimal degree numeric values. Parse coordinates into their parts (degree, minutes, seconds); calculate hemisphere from coordinates; pull out individually degrees, minutes, or seconds; add and subtract degrees, minutes, and seconds. C++ code herein originally inspired from code written by Jeffrey D. Bogan, but then completely re-written.
Author: Scott Chamberlain [aut] , Alban Sagouis [aut, cre] , Alec L. Robitaille [ctb] , Maelle Salmon [ctb] , Hiroaki Yutani [ctb], Jeffrey Bogan [ctb] , Julien Brun [rev] , Maria Munafo [rev] , rOpenSci [fnd] , German Centre for Integrative Biodiversity Res [...truncated...]
Maintainer: Alban Sagouis <sagouis@pm.me>

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Package RcppDate updated to version 0.0.6 with previous version 0.0.5 dated 2025-03-06

Title: 'date' C++ Header Library for Date and Time Functionality
Description: A header-only C++ library is provided with support for dates, time zones, ISO weeks, Julian dates, and Islamic dates. 'date' offers extensive date and time functionality for the C++11, C++14 and C++17 standards and was written by Howard Hinnant and released under the MIT license. A slightly modified version has been accepted (along with 'tz.h') as part of C++20. This package regroups all header files from the upstream repository by Howard Hinnant so that other R packages can use them in their C++ code. At present, few of the types have explicit 'Rcpp' wrappers though these may be added as needed.
Author: Dirk Eddelbuettel [aut, cre] , Howard Hinnant [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppDate versions 0.0.5 dated 2025-03-06 and 0.0.6 dated 2025-05-29

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Package nplyr updated to version 0.3.0 with previous version 0.2.0 dated 2023-02-14

Title: A Grammar of Nested Data Manipulation
Description: Provides functions for manipulating nested data frames in a list-column using 'dplyr' <https://dplyr.tidyverse.org/> syntax. Rather than unnesting, then manipulating a data frame, 'nplyr' allows users to manipulate each nested data frame directly. 'nplyr' is a wrapper for 'dplyr' functions that provide tools for common data manipulation steps: filtering rows, selecting columns, summarising grouped data, among others.
Author: Mark Rieke [aut], Bolivar Aponte Rolon [cre] , Joran Elias [ctb]
Maintainer: Bolivar Aponte Rolon <bolaponte@pm.me>

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Package gofedf updated to version 1.0.0 with previous version 0.1.0 dated 2023-10-01

Title: Goodness of Fit Tests Based on Empirical Distribution Functions
Description: Routines that allow the user to run goodness of fit tests based on empirical distribution functions for formal model evaluation in a general likelihood model. In addition, functions are provided to test if a sample follows Normal or Gamma distributions, validate the normality assumptions in a linear model, and examine the appropriateness of a Gamma distribution in generalized linear models with various link functions. Michael Arthur Stephens (1976) <http://www.jstor.org/stable/2958206>.
Author: Richard Lockhart [aut], Payman Nickchi [aut, cre]
Maintainer: Payman Nickchi <payman.nickchi@gmail.com>

Diff between gofedf versions 0.1.0 dated 2023-10-01 and 1.0.0 dated 2025-05-29

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Package MassWateR updated to version 2.2.0 with previous version 2.1.5 dated 2024-10-20

Title: Quality Control and Analysis of Massachusetts Water Quality Data
Description: Methods for quality control and exploratory analysis of surface water quality data collected in Massachusetts, USA. Functions are developed to facilitate data formatting for the Water Quality Exchange Network <https://www.epa.gov/waterdata/water-quality-data-upload-wqx> and reporting of data quality objectives to state agencies. Quality control methods are from Massachusetts Department of Environmental Protection (2020) <https://www.mass.gov/orgs/massachusetts-department-of-environmental-protection>.
Author: Marcus Beck [aut, cre] , Jill Carr [aut], Ben Wetherill [aut]
Maintainer: Marcus Beck <mbeck@tbep.org>

Diff between MassWateR versions 2.1.5 dated 2024-10-20 and 2.2.0 dated 2025-05-29

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Package SUMO updated to version 1.2.0 with previous version 0.2.0 dated 2025-04-13

Title: Generating Multi-Omics Datasets for Testing and Benchmarking
Description: Provides tools to simulate multi-omics datasets with predefined signal structures. The generated data can be used for testing, validating, and benchmarking integrative analysis methods such as factor models and clustering approaches. This version includes enhanced signal customization, visualization tools (scatter, histogram, 3D), MOFA-based analysis pipelines, PowerPoint export, and statistical profiling of datasets. Designed for both method development and teaching, SUMO supports real and synthetic data pipelines with interpretable outputs. Tini, Giulia, et al (2019) <doi:10.1093/bib/bbx167>.
Author: Bernard Isekah Osang'ir [aut, cre] , Ziv Shkedy [ctb], Surya Gupta [ctb], Juergen Claesen [ctb]
Maintainer: Bernard Isekah Osang'ir <Bernard.Osangir@sckcen.be>

Diff between SUMO versions 0.2.0 dated 2025-04-13 and 1.2.0 dated 2025-05-29

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Permanent link

Package morepls updated to version 0.2.1 with previous version 0.2 dated 2025-05-20

Title: Interpretation Tools for Partial Least Squares Regression
Description: Various kinds of plots (observations, variables, correlations, weights, regression coefficients and Variable Importance in the Projection) and aids to interpretation (coefficients, Q2, correlations, redundancies) for partial least squares regressions computed with the 'pls' package, following Tenenhaus (1998, ISBN:2-7108-0735-1).
Author: Nicolas Robette [aut, cre]
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

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Package descriptio updated to version 1.4.1 with previous version 1.4 dated 2025-05-21

Title: Descriptive Statistical Analysis
Description: Description of statistical associations between variables : measures of local and global association between variables (phi, Cramér V, correlations, eta-squared, Goodman and Kruskal tau, permutation tests, etc.), multiple graphical representations of the associations between variables (using 'ggplot2') and weighted statistics.
Author: Nicolas Robette [aut, cre]
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

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Package ncdfCF updated to version 0.6.0 with previous version 0.5.0 dated 2025-04-16

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 GDAtools updated to version 2.3 with previous version 2.2 dated 2025-05-20

Title: Geometric Data Analysis
Description: Many tools for Geometric Data Analysis (Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0>), such as MCA variants (Specific Multiple Correspondence Analysis, Class Specific Analysis), many graphical and statistical aids to interpretation (structuring factors, concentration ellipses, inductive tests, bootstrap validation, etc.) and multiple-table analysis (Multiple Factor Analysis, between- and inter-class analysis, Principal Component Analysis and Correspondence Analysis with Instrumental Variables, etc.).
Author: Nicolas Robette [aut, cre]
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

Diff between GDAtools versions 2.2 dated 2025-05-20 and 2.3 dated 2025-05-29

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Package DFA.CANCOR updated to version 0.3.8 with previous version 0.3.6 dated 2024-11-16

Title: Linear Discriminant Function and Canonical Correlation Analysis
Description: Produces SPSS- and SAS-like output for linear discriminant function analysis and canonical correlation analysis. The methods are described in Manly & Alberto (2017, ISBN:9781498728966), Rencher (2002, ISBN:0-471-41889-7), and Tabachnik & Fidell (2019, ISBN:9780134790541).
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

Diff between DFA.CANCOR versions 0.3.6 dated 2024-11-16 and 0.3.8 dated 2025-05-29

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New package silviculture with initial version 0.1.0
Package: silviculture
Title: Utility Functions for Forest Inventory and Silviculture
Version: 0.1.0
Description: Perform common dendrometry operations such as inventory preparing, and inventory data analysis.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: cli, dplyr, S7
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
URL: https://cidree.github.io/silviculture/
NeedsCompilation: no
Packaged: 2025-05-27 08:37:32 UTC; User
Author: Adrian Cidre Gonzalez [aut, cre]
Maintainer: Adrian Cidre Gonzalez <adrian.cidre@gmail.com>
Repository: CRAN
Date/Publication: 2025-05-29 08:50:02 UTC

More information about silviculture at CRAN
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New package RobinCID with initial version 1.0.0
Package: RobinCID
Title: Robust Inference in Complex Innovative Trial Design
Version: 1.0.0
Description: Perform robust estimation and inference in platform trials and other master protocol trials. Yuhan Qian, Yifan Yi, Jun Shao, Yanyao Yi, Gregory Levin, Nicole Mayer-Hamblett, Patrick J. Heagerty, Ting Ye (2025) <doi:10.48550/arXiv.2411.12944>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Eureeca/RobinCID
BugReports: https://github.com/Eureeca/RobinCID/issues
Suggests: testthat (>= 3.0.0)
Imports: checkmate, numDeriv, stats, MASS
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-05-27 06:40:54 UTC; eureka
Author: Yuhan Qian [aut, cre, cph], Ting Ye [aut], Yanyao Yi [aut], Marlena Bannick [aut]
Maintainer: Yuhan Qian <yhqian@uw.edu>
Repository: CRAN
Date/Publication: 2025-05-29 08:50:13 UTC

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New package morseDR with initial version 0.1.2
Package: morseDR
Title: Bayesian Inference of Binary, Count and Continuous Data in Toxicology
Version: 0.1.2
Description: Advanced methods for a valuable quantitative environmental risk assessment using Bayesian inference of several type of toxicological data. 'binary' (e.g., survival, mobility), 'count' (e.g., reproduction) and 'continuous' (e.g., growth as length, weight). Estimation procedures can be used without a deep knowledge of their underlying probabilistic model or inference methods. Rather, they were designed to behave as well as possible without requiring a user to provide values for some obscure parameters. That said, models can also be used as a first step to tailor new models for more specific situations.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: coda, ggplot2, grDevices, methods, rjags, stats
Suggests: GGally, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-05-27 06:56:20 UTC; virgile
Author: Virgile Baudrot [aut, cre], Sandrine Charles [aut], Marie Laure Delignette-Muller [aut], Nils Kehrein [ctb], Guillaume Kon-Kam-King [ctb], Christelle Lopes [ctb], Philippe Veber [aut]
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>
Repository: CRAN
Date/Publication: 2025-05-29 08:50:06 UTC

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New package clustord with initial version 1.3.4
Package: clustord
Title: Cluster Ordinal Data via Proportional Odds or Ordered Stereotype
Version: 1.3.4
Date: 2025-05-21
Maintainer: Louise McMillan <louise.mcmillan@vuw.ac.nz>
Description: Biclustering, row clustering and column clustering using the proportional odds model (POM), ordered stereotype model (OSM) or binary model for ordinal categorical data. Fernández, D., Arnold, R., Pledger, S., Liu, I., & Costilla, R. (2019) <doi:10.1007/s11634-018-0324-3>.
License: GPL-3
URL: https://vuw-clustering.github.io/clustord/
Depends: R (>= 3.5.0), stats, utils
Imports: Rcpp (>= 1.0.1), MASS, nnet, flexclust, methods
LinkingTo: Rcpp, RcppArmadillo, RcppClock
Suggests: knitr, formatR, rmarkdown, testthat (>= 2.1.0), multgee, parallel
Encoding: UTF-8
VignetteBuilder: knitr, formatR
NeedsCompilation: yes
Packaged: 2025-05-26 23:09:00 UTC; LFM
Author: Louise McMillan [aut, cre, cph] , Daniel Fernandez Martinez [aut] , Ying Cui [aut], Eleni Matechou [aut] , W. N. Venables [ctb, cph] , B. D. Ripley [ctb, cph]
Repository: CRAN
Date/Publication: 2025-05-29 08:20:02 UTC

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New package bunsen with initial version 0.1.0
Package: bunsen
Title: Marginal Survival Estimation with Covariate Adjustment
Version: 0.1.0
Description: Provides an efficient and robust implementation for estimating marginal Hazard Ratio (HR) and Restricted Mean Survival Time (RMST) with covariate adjustment using Daniel et al. (2021) <doi:10.1002/bimj.201900297> and Karrison et al. (2018) <doi:10.1177/1740774518759281>.
Maintainer: Xinlei Deng <xinlei.deng@novartis.com>
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp
Imports: stats, survival, boot, clustermq, Rcpp
NeedsCompilation: yes
Packaged: 2025-05-27 09:24:13 UTC; dengxiq
Author: Xinlei Deng [cre, aut] , Mark Baillie [aut] , Craig Wang [aut] , Dominic Magirr [aut], Alex Przybylski [aut]
Repository: CRAN
Date/Publication: 2025-05-29 08:50:10 UTC

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Package SEAHORS updated to version 1.9.0 with previous version 1.8.0 dated 2023-06-23

Title: Spatial Exploration of ArcHaeological Objects in R Shiny
Description: An R 'Shiny' application dedicated to the intra-site spatial analysis of piece-plotted archaeological remains, making the two and three-dimensional spatial exploration of archaeological data as user-friendly as possible. Documentation about 'SEAHORS' is provided by the vignette included in this package and by the companion scientific paper: Royer, Discamps, Plutniak, Thomas (2023, PCI Archaeology, <doi:10.5281/zenodo.7674698>).
Author: Aurelien Royer [aut] , Sebastien Plutniak [cre] , Emmanuel Discamps [ctb] , Marc Thomas [ctb]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

Diff between SEAHORS versions 1.8.0 dated 2023-06-23 and 1.9.0 dated 2025-05-29

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Package hdar updated to version 1.0.6 with previous version 1.0.5 dated 2025-03-13

Title: 'REST' API Client for Accessing Data on 'WEkEO HDA V2'
Description: Provides seamless access to the WEkEO Harmonised Data Access (HDA) API, enabling users to query, download, and process data efficiently from the HDA platform. With 'hdar', researchers and data scientists can integrate the extensive HDA datasets into their R workflows, enhancing their data analysis capabilities. Comprehensive information on the API functionality and usage is available at <https://gateway.prod.wekeo2.eu/hda-broker/docs>.
Author: Matteo Mattiuzzi [aut, cre]
Maintainer: Matteo Mattiuzzi <matteo.mattiuzzi@eea.europa.eu>

Diff between hdar versions 1.0.5 dated 2025-03-13 and 1.0.6 dated 2025-05-29

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 hdar-1.0.6/hdar/DESCRIPTION           |   13 +++---
 hdar-1.0.6/hdar/MD5                   |   31 ++++------------
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 hdar-1.0.6/hdar/R/search_results.R    |   58 ++++++++++++++++++++----------
 hdar-1.0.6/hdar/R/utils.R             |   65 ++++++++++++++++++++++++++++++++++
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 hdar-1.0.6/hdar/inst/doc/hdar.html    |    5 +-
 14 files changed, 160 insertions(+), 77 deletions(-)

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Package gtExtras updated to version 0.6.0 with previous version 0.5.0 dated 2023-09-15

Title: Extending 'gt' for Beautiful HTML Tables
Description: Provides additional functions for creating beautiful tables with 'gt'. The functions are generally wrappers around boilerplate or adding opinionated niche capabilities and helpers functions.
Author: Thomas Mock [aut, cre, cph], Daniel D. Sjoberg [ctb]
Maintainer: Thomas Mock <j.thomasmock@gmail.com>

Diff between gtExtras versions 0.5.0 dated 2023-09-15 and 0.6.0 dated 2025-05-29

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 gtExtras-0.6.0/gtExtras/DESCRIPTION                                 |   18 
 gtExtras-0.6.0/gtExtras/MD5                                         |  134 +-
 gtExtras-0.6.0/gtExtras/NAMESPACE                                   |    3 
 gtExtras-0.6.0/gtExtras/NEWS.md                                     |   42 
 gtExtras-0.6.0/gtExtras/R/fontawesome-icons.R                       |  465 +++++-----
 gtExtras-0.6.0/gtExtras/R/gt-bar-html.R                             |  197 ++--
 gtExtras-0.6.0/gtExtras/R/gtExtras-package.R                        |   36 
 gtExtras-0.6.0/gtExtras/R/gt_pct_bar.R                              |   51 -
 gtExtras-0.6.0/gtExtras/R/gt_plt_dist.R                             |   64 +
 gtExtras-0.6.0/gtExtras/R/gt_plt_sparkline.R                        |  113 +-
 gtExtras-0.6.0/gtExtras/R/gt_summary_table.R                        |  178 ++-
 gtExtras-0.6.0/gtExtras/R/gt_theme_538.R                            |   29 
 gtExtras-0.6.0/gtExtras/R/gt_theme_dark.R                           |    5 
 gtExtras-0.6.0/gtExtras/R/gt_theme_dot_matrix.R                     |   24 
 gtExtras-0.6.0/gtExtras/R/gt_theme_nytimes.R                        |    5 
 gtExtras-0.6.0/gtExtras/R/gt_theme_pff.R                            |    5 
 gtExtras-0.6.0/gtExtras/R/gtsave_extra.R                            |   25 
 gtExtras-0.6.0/gtExtras/R/html-helpers.R                            |   56 -
 gtExtras-0.6.0/gtExtras/R/two-column-layouts.R                      |   77 +
 gtExtras-0.6.0/gtExtras/man/add_text_img.Rd                         |   17 
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 gtExtras-0.6.0/gtExtras/man/fmt_pad_num.Rd                          |    4 
 gtExtras-0.6.0/gtExtras/man/fmt_pct_extra.Rd                        |    4 
 gtExtras-0.6.0/gtExtras/man/fmt_symbol_first.Rd                     |    4 
 gtExtras-0.6.0/gtExtras/man/generate_df.Rd                          |    4 
 gtExtras-0.6.0/gtExtras/man/gt_add_divider.Rd                       |    4 
 gtExtras-0.6.0/gtExtras/man/gt_badge.Rd                             |   14 
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 gtExtras-0.6.0/gtExtras/man/gt_fa_rank_change.Rd                    |    4 
 gtExtras-0.6.0/gtExtras/man/gt_fa_rating.Rd                         |    4 
 gtExtras-0.6.0/gtExtras/man/gt_highlight_cols.Rd                    |    4 
 gtExtras-0.6.0/gtExtras/man/gt_highlight_rows.Rd                    |    4 
 gtExtras-0.6.0/gtExtras/man/gt_img_border.Rd                        |    4 
 gtExtras-0.6.0/gtExtras/man/gt_img_circle.Rd                        |    4 
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 gtExtras-0.6.0/gtExtras/man/gt_img_rows.Rd                          |   11 
 gtExtras-0.6.0/gtExtras/man/gt_index.Rd                             |    4 
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 gtExtras-0.6.0/gtExtras/man/gt_merge_stack_color.Rd                 |    2 
 gtExtras-0.6.0/gtExtras/man/gt_plt_bar_pct.Rd                       |    2 
 gtExtras-0.6.0/gtExtras/man/gt_plt_bar_stack.Rd                     |    7 
 gtExtras-0.6.0/gtExtras/man/gt_plt_dist.Rd                          |    7 
 gtExtras-0.6.0/gtExtras/man/gt_plt_percentile.Rd                    |    2 
 gtExtras-0.6.0/gtExtras/man/gt_plt_point.Rd                         |    2 
 gtExtras-0.6.0/gtExtras/man/gt_plt_sparkline.Rd                     |    2 
 gtExtras-0.6.0/gtExtras/man/gt_plt_winloss.Rd                       |    2 
 gtExtras-0.6.0/gtExtras/man/gt_theme_538.Rd                         |    4 
 gtExtras-0.6.0/gtExtras/man/gt_theme_dot_matrix.Rd                  |    4 
 gtExtras-0.6.0/gtExtras/man/gt_two_column_layout.Rd                 |    9 
 gtExtras-0.6.0/gtExtras/man/gtsave_extra.Rd                         |    4 
 gtExtras-0.6.0/gtExtras/man/img_header.Rd                           |    4 
 gtExtras-0.6.0/gtExtras/man/pad_fn.Rd                               |    4 
 gtExtras-0.6.0/gtExtras/man/plot_data.Rd                            |    4 
 gtExtras-0.6.0/gtExtras/man/tab_style_by_grp.Rd                     |    4 
 gtExtras-0.6.0/gtExtras/tests/testthat/test-fontawesome-icons.R     |  160 +--
 gtExtras-0.6.0/gtExtras/tests/testthat/test-gt_img_circle.R         |   12 
 gtExtras-0.6.0/gtExtras/tests/testthat/test-gt_pct_bar.R            |  133 +-
 gtExtras-0.6.0/gtExtras/tests/testthat/test-gt_plt_bar.R            |   15 
 gtExtras-0.6.0/gtExtras/tests/testthat/test-gt_plt_bullet.R         |   14 
 gtExtras-0.6.0/gtExtras/tests/testthat/test-gt_plt_conf_int.R       |   65 -
 gtExtras-0.6.0/gtExtras/tests/testthat/test-gt_plt_percentile_dot.R |   39 
 gtExtras-0.6.0/gtExtras/tests/testthat/test-gt_plt_point.R          |   13 
 gtExtras-0.6.0/gtExtras/tests/testthat/test-gt_plt_sparkline.R      |   14 
 gtExtras-0.6.0/gtExtras/tests/testthat/test-gt_summary_table.R      |    4 
 gtExtras-0.6.0/gtExtras/tests/testthat/test-gt_win_loss.R           |  208 +++-
 gtExtras-0.6.0/gtExtras/tests/testthat/test-gtsave_extra.R          |    3 
 69 files changed, 1437 insertions(+), 948 deletions(-)

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