Thu, 22 Jan 2026

New package vald.extractor with initial version 0.1.0
Package: vald.extractor
Title: Robust Pipeline for 'VALD' 'ForceDecks' Data Extraction and Analysis
Version: 0.1.0
Description: Provides a robust and reproducible pipeline for extracting, cleaning, and analyzing athlete performance data generated by 'VALD' 'ForceDecks' systems. The package supports batch-oriented data processing for large datasets, standardized data transformation workflows, and visualization utilities for sports science research and performance monitoring. It is designed to facilitate reproducible analysis across multiple sports with comprehensive documentation and error handling.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readxl, httr, jsonlite, data.table, ggplot2, dplyr, tidyr, stringr, lubridate, valdr, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/praveenmaths89/vald.extractor
BugReports: https://github.com/praveenmaths89/vald.extractor/issues
NeedsCompilation: no
Packaged: 2026-01-17 20:19:56 UTC; apple
Author: Praveen D Chougale [aut, cre], Usha Anathakumar [aut]
Maintainer: Praveen D Chougale <praveenmaths89@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:40:02 UTC

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Package sumExtras updated to version 0.3.0 with previous version 0.2.0 dated 2026-01-19

Title: Extra Functions for 'gtsummary' Table Styling
Description: Provides additional convenience functions for 'gtsummary' (Sjoberg et al. (2021) <doi:10.32614/RJ-2021-053>) & 'gt' tables, including automatic variable labeling from dictionaries, standardized missing value display, and consistent formatting helpers for streamlined table styling workflows.
Author: Kyle Grealis [aut, cre] , Raymond Balise [ctb] , Daniel Maya [ctb]
Maintainer: Kyle Grealis <kyleGrealis@proton.me>

Diff between sumExtras versions 0.2.0 dated 2026-01-19 and 0.3.0 dated 2026-01-22

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New package read.abares with initial version 2.0.0
Package: read.abares
Title: Read Data from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) and Australian Bureau of Statistics (ABS)
Version: 2.0.0
Description: Download and import agricultural data from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) <https://www.agriculture.gov.au/abares> and Australian Bureau of Statistics (ABS) <https://www.abs.gov.au>. Data types serviced include spreadsheets, comma separated value (CSV) files, geospatial data including shape files and geotiffs covering topics including broadacre crops, livestock, soil data, commodities and more. Unifies field names and formats for data interoperability making analysis easier by standardising names between data formats. Also simplifies importing geospatial data as well as correcting issues in the geospatial data upon import.
License: MIT + file LICENSE
URL: https://github.com/ropensci/read.abares, https://docs.ropensci.org/read.abares/
BugReports: https://github.com/ropensci/read.abares/issues
Depends: R (>= 4.1.0)
Imports: brio, cli, data.table, fs, htm2txt, httr2, lubridate, purrr, readxl, rlang, sf, stars, stringr, terra, tidync, utils, whoami, withr
Suggests: bit64, knitr, openxlsx, pander, rmarkdown, roxyglobals, skimr, spelling, testthat (>= 3.0.0), zip
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-17 04:47:29 UTC; adamsparks
Author: Adam H. Sparks [cre, aut] , Curtin University [fnd, cph] , Grains Research and Development Corporation [fnd, cph] , ROR: <https://ror.org/02xwr1996>), Jacob Wujciak-Jens [ctb] , Nicholas Potter [rev] , Maria Paula Caldas [rev]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:30:02 UTC

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Package mwa updated to version 0.5.1 with previous version 0.5.0 dated 2025-09-29

Title: Causal Inference in Spatiotemporal Event Data
Description: Implementation of Matched Wake Analysis (mwa) for studying causal relationships in spatiotemporal event data, introduced by Schutte and Donnay (2014) <doi:10.1016/j.polgeo.2014.03.001>.
Author: Sebastian Schutte [aut], Karsten Donnay [aut, cre]
Maintainer: Karsten Donnay <kdonnay@gmx.net>

Diff between mwa versions 0.5.0 dated 2025-09-29 and 0.5.1 dated 2026-01-22

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New package LCPA with initial version 1.0.0
Package: LCPA
Title: A General Framework for Latent Classify and Profile Analysis
Version: 1.0.0
Date: 2026-01-10
Author: Haijiang Qin [aut, cre, cph] , Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>
Description: A unified latent class modeling framework that encompasses both latent class analysis (LCA) and latent profile analysis (LPA), offering a one-stop solution for latent class modeling. It implements state-of-the-art parameter estimation methods, including the expectation–maximization (EM) algorithm, neural network estimation (NNE; requires users to have 'Python' and its dependent libraries installed on their computer), and integration with 'Mplus' (requires users to have 'Mplus' installed on their computer). In addition, it provides commonly used model fit indices such as the Akaike information criterion (AIC) and Bayesian information criterion (BIC), as well as classification accuracy measures such as entropy. The package also includes fully functional likelihood ratio tests (LRT) and bootstrap likelihood ratio tests (BLRT) to facilitate model comparison, along with bootstrap-based and observed information matrix-based standard error estimation. Furthermore, it supports the standard thr [...truncated...]
License: GPL-3
Depends: R (>= 4.1.0)
Imports: reticulate, clue, ggplot2, tidyr, dplyr, mvtnorm, Matrix, MASS, MplusAutomation, tidyselect, numDeriv, nloptr, Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Repository: CRAN
Packaged: 2026-01-17 09:40:24 UTC; Haiji
Date/Publication: 2026-01-22 09:40:08 UTC

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New package horsey with initial version 1.0.1
Package: horsey
Title: Access to the 'Lichess' API
Version: 1.0.1
Description: Package that accesses the 'Lichess' API (<https://lichess.org/api>). Supports both authenticated and unauthenticated requests. Basic functionality for game and player analysis.
License: MIT + file LICENSE
URL: https://github.com/kylehamilton/horsey
BugReports: https://github.com/kylehamilton/horsey/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite, tibble, dplyr, stringr, cli, rlang
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2026-01-16 22:32:05 UTC; kyleh
Author: W. Kyle Hamilton [aut, cre]
Maintainer: W. Kyle Hamilton <kyle.hamilton@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:20:02 UTC

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New package cycleTrendR with initial version 0.2.0
Package: cycleTrendR
Title: Adaptive Cycle and Trend Analysis for Irregular Time Series
Version: 0.2.0
URL: https://github.com/PietroPiu-labstats/cycleTrendR
Description: Provides adaptive trend estimation, cycle detection, Fourier harmonic selection, bootstrap confidence intervals, change-point detection, and rolling-origin forecasting. Supports LOESS (Locally Estimated Scatterplot Smoothing), GAM (Generalized Additive Model), and GAMM (Generalized Additive Mixed Model), and automatically handles irregular sampling using the Lomb–Scargle periodogram. Methods implemented in this package are described in Cleveland et al. (1990) <doi:10.2307/2289548>, Wood (2017) <doi:10.1201/9781315370279>, and Scargle (1982) <doi:10.1086/160554>.
License: GPL-3
Encoding: UTF-8
Imports: blocklength, fANCOVA, ggplot2, lomb, gridExtra, changepoint, mgcv, dplyr, nortest, nlme, magrittr, tseries
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-01-16 22:25:57 UTC; Pietro
Author: Pietro Piu [aut, cre]
Maintainer: Pietro Piu <pietro.piu.si@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:20:07 UTC

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Package spBFA (with last version 1.5.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-01-07 1.5.0
2025-09-30 1.4.0
2023-03-21 1.3
2022-09-04 1.2
2021-04-27 1.1

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Package simsurv updated to version 1.0.1 with previous version 1.0.0 dated 2021-01-13

Title: Simulate Survival Data
Description: Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or a user-defined function of time. Clustered event times are also accommodated. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions reflecting those seen in practice. If the user wishes to provide a user-defined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closed-form solution. For details see the supporting paper <doi:10.18637/jss.v097.i03>. Note that this package is modelled on the 'survsim' package available in the 'Stata' software (see [...truncated...]
Author: Sam Brilleman [cre, aut, cph], Alessandro Gasparini [ctb]
Maintainer: Sam Brilleman <sam.brilleman@gmail.com>

Diff between simsurv versions 1.0.0 dated 2021-01-13 and 1.0.1 dated 2026-01-22

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Package prophet updated to version 1.1.7 with previous version 1.0 dated 2021-03-30

Title: Automatic Forecasting Procedure
Description: Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
Author: Cuong Duong [cre, aut], Sean Taylor [aut], Ben Letham [aut]
Maintainer: Cuong Duong <cuong.duong242@gmail.com>

Diff between prophet versions 1.0 dated 2021-03-30 and 1.1.7 dated 2026-01-22

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Package lagsarlmtree updated to version 1.0-2 with previous version 1.0-1 dated 2019-04-08

Title: Spatial Lag Model Trees
Description: Model-based linear model trees adjusting for spatial correlation using a simultaneous autoregressive spatial lag, Wagner and Zeileis (2019) <doi:10.1111/geer.12146>.
Author: Martin Wagner [aut] , Achim Zeileis [aut, cre] , Roger Bivand [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between lagsarlmtree versions 1.0-1 dated 2019-04-08 and 1.0-2 dated 2026-01-22

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Package edgemodelr readmission to version 0.1.4 with previous version 0.1.0 dated 2025-09-22

Title: Local Large Language Model Inference Engine
Description: Enables R users to run large language models locally using 'GGUF' model files and the 'llama.cpp' inference engine. Provides a complete R interface for loading models, generating text completions, and streaming responses in real-time. Supports local inference without requiring cloud APIs or internet connectivity, ensuring complete data privacy and control. Based on the 'llama.cpp' project by Georgi Gerganov (2023) <https://github.com/ggml-org/llama.cpp>.
Author: Pawan Rama Mali [aut, cre, cph], Georgi Gerganov [aut, cph] , The ggml authors [cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , pi6am [ctb] , Ivan Yurchenko [ctb] , Dirk Eddelbuettel [ctb]
Maintainer: Pawan Rama Mali <prm@outlook.in>

This is a re-admission after prior archival of version 0.1.0 dated 2025-09-22

Diff between edgemodelr versions 0.1.0 dated 2025-09-22 and 0.1.4 dated 2026-01-22

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New package bertopicr with initial version 0.3.6
Package: bertopicr
Title: Topic Modeling with 'BERTopic'
Version: 0.3.6
Description: Provides topic modeling and visualization by interfacing with the 'BERTopic' library for 'Python' via 'reticulate'. See Grootendorst (2022) <doi:10.48550/arXiv.2203.05794>.
Imports: dplyr, tidyr, purrr, utils, reticulate, stringr, tibble, htmltools, readr, rlang
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown, tictoc, wordcloud2
SystemRequirements: Python (>= 3.8); BERTopic and Python packages: sentence-transformers, umap-learn, hdbscan, scikit-learn
VignetteBuilder: knitr
URL: https://tpetric7.github.io/bertopicr/
NeedsCompilation: no
Packaged: 2026-01-16 19:19:21 UTC; teodo
Author: Teodor Petric [aut, cre]
Maintainer: Teodor Petric <teodor.petric@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-22 09:00:07 UTC

More information about bertopicr at CRAN
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Package networkGen (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-12-04 0.1.1
2017-07-08 0.1.0

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Package Canopy (with last version 1.3.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-12-18 1.3.0
2017-04-08 1.2.0
2016-09-02 1.1.1
2015-10-29 1.0.0

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Package validann (with last version 1.2.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-04-20 1.2.1
2016-11-16 1.2.0
2016-11-08 1.1.0
2016-07-21 1.0.0

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Package yhatr (with last version 0.15.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-05-09 0.15.1
2016-09-06 0.15.0
2016-02-12 0.13.10
2016-02-11 0.13.9
2015-07-29 0.13.7
2015-06-19 0.13.6
2015-03-06 0.13.4
2014-12-17 0.13.2
2014-11-21 0.13.1
2014-07-19 0.12.1
2014-06-25 0.11.0
2014-06-09 0.10.0
2014-05-28 0.9.1
2014-05-19 0.9.0
2014-03-13 0.8.1
2014-02-28 0.8
2014-02-12 0.7
2013-12-06 0.6
2013-11-11 0.5
2013-10-28 0.4
2013-08-13 0.3
2013-08-06 0.2
2013-05-09 0.1

Permanent link
Package tidyindex (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2023-11-16 0.1.0

Permanent link
Package capn (with last version 1.0.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-06-05 1.0.0

Permanent link
Package MR.RGM updated to version 0.1.0 with previous version 0.0.5 dated 2025-09-29

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

Diff between MR.RGM versions 0.0.5 dated 2025-09-29 and 0.1.0 dated 2026-01-22

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Package WASP updated to version 1.4.5 with previous version 1.4.4 dated 2024-07-20

Title: Wavelet System Prediction
Description: The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. Details of methodologies used in the package can be found in Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962>, Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>, and Jiang, Z., Sharma, A., & Johnson, F. (2021) <doi:10.1016/J.JHYDROL.2021.126816>.
Author: Ze Jiang [aut, cre] , Md. Mamunur Rashid [aut] , Ashish Sharma [aut] , Fiona Johnson [aut]
Maintainer: Ze Jiang <ze.jiang@unsw.edu.au>

Diff between WASP versions 1.4.4 dated 2024-07-20 and 1.4.5 dated 2026-01-22

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Package spatstat.explore updated to version 3.7-0 with previous version 3.6-0 dated 2025-11-22

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of 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'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Ya-Mei Chang [ctb], Jean-Francois Coeurjolly [ctb], Lucia Cobo Sanchez [ctb, cph], Ottma [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package rice updated to version 1.6.2 with previous version 1.6.0 dated 2026-01-08

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon-related timescales (cal BP, cal BC/AD, C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package uses the calibration curves from the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre] , Paula Reimer [ctb] , Vegard Martinsen [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package qrng updated to version 0.0-11 with previous version 0.0-10 dated 2024-02-29

Title: (Randomized) Quasi-Random Number Generators
Description: Functionality for generating (randomized) quasi-random numbers in high dimensions.
Author: Marius Hofert [aut, cre], Christiane Lemieux [aut]
Maintainer: Marius Hofert <mhofert@hku.hk>

Diff between qrng versions 0.0-10 dated 2024-02-29 and 0.0-11 dated 2026-01-22

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Package gt updated to version 1.3.0 with previous version 1.2.0 dated 2025-12-16

Title: Easily Create Presentation-Ready Display Tables
Description: Build display tables from tabular data with an easy-to-use set of functions. With its progressive approach, we can construct display tables with a cohesive set of table parts. Table values can be formatted using any of the included formatting functions. Footnotes and cell styles can be precisely added through a location targeting system. The way in which 'gt' handles things for you means that you don't often have to worry about the fine details.
Author: Richard Iannone [aut, cre] , Joe Cheng [aut], Barret Schloerke [aut] , Shannon Haughton [aut], Ellis Hughes [aut] , Alexandra Lauer [aut] , Romain Francois [aut], JooYoung Seo [aut] , Ken Brevoort [aut] , Olivier Roy [aut], Posit Software, PBC [cph, [...truncated...]
Maintainer: Richard Iannone <rich@posit.co>

Diff between gt versions 1.2.0 dated 2025-12-16 and 1.3.0 dated 2026-01-22

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More information about gt at CRAN
Permanent link

Package BoutrosLab.plotting.general updated to version 7.1.5 with previous version 7.1.2 dated 2024-10-04

Title: Functions to Create Publication-Quality Plots
Description: Contains several plotting functions such as barplots, scatterplots, heatmaps, as well as functions to combine plots and assist in the creation of these plots. These functions will give users great ease of use and customization options in broad use for biomedical applications, as well as general purpose plotting. Each of the functions also provides valid default settings to make plotting data more efficient and producing high quality plots with standard colour schemes simpler. All functions within this package are capable of producing plots that are of the quality to be presented in scientific publications and journals. P'ng et al.; BPG: Seamless, automated and interactive visualization of scientific data; BMC Bioinformatics 2019 <doi:10.1186/s12859-019-2610-2>.
Author: Paul Boutros [aut, cre], Christine P'ng [ctb], Jeff Green [ctb], Stephenie Prokopec [ctb], Ontario Institute for Cancer Research [cph], The R Core Team [cph], The R Foundation [cph], Robert Gentleman [ctb], Ross Ihaka [ctb], Caden Bugh [ctb], Dan Kni [...truncated...]
Maintainer: Paul Boutros <PBoutros@sbpdiscovery.org>

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 BoutrosLab.plotting.general-7.1.5/BoutrosLab.plotting.general/man/create.violinplot.Rd   |   14 
 BoutrosLab.plotting.general-7.1.5/BoutrosLab.plotting.general/man/legend.grob.Rd         |    2 
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