Mon, 03 Jul 2023

Package huito updated to version 0.2.3 with previous version 0.2.2 dated 2023-01-24

Title: Reproducible and Flexible Label Design
Description: An open-source R package to deploys reproducible and flexible labels using layers. The 'huito' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] , Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>

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Package emdbook updated to version 1.3.13 with previous version 1.3.12 dated 2020-02-19

Title: Support Functions and Data for "Ecological Models and Data"
Description: Auxiliary functions and data sets for "Ecological Models and Data", a book presenting maximum likelihood estimation and related topics for ecologists (ISBN 978-0-691-12522-0).
Author: Ben Bolker [aut, cre], Sang Woo Park [ctb], James Vonesh [dtc], Jacqueline Wilson [dtc], Russ Schmitt [dtc], Sally Holbrook [dtc], James D. Thomson [dtc], R. Scot Duncan [dtc]
Maintainer: Ben Bolker <bolker@mcmaster.ca>

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Package threeBrain updated to version 1.0.1 with previous version 1.0.0 dated 2023-06-03

Title: 3D Brain Visualization
Description: A fast, interactive cross-platform, and easy to share 'WebGL'-based 3D brain viewer that visualizes 'FreeSurfer' and/or 'AFNI/SUMA' surfaces. The viewer widget can be either standalone or embedded into 'R-shiny' applications. The standalone version only require a web browser with 'WebGL2' support (for example, 'Chrome', 'Firefox', 'Safari'), and can be inserted into any websites. The 'R-shiny' support allows the 3D viewer to be dynamically generated from reactive user inputs. This feature has been fully adopted by 'RAVE' <https://openwetware.org/wiki/RAVE>, an interactive toolbox to analyze 'iEEG' data. Documentation about 'threeBrain' is provided by <https://dipterix.org/threeBrain/> and several vignettes included in this package. To cite the package, please check our 'NeuroImage' paper by Magnotti, Wang, and Beauchamp (2020, <doi:10.1016/j.neuroimage.2020.117341>), or see 'citation("threeBrain")' for details.
Author: Zhengjia Wang [aut, cre, cph], John Magnotti [aut, res], Xiang Zhang [ctb, res], Brian Metzger [res], Elizabeth Nesbitt [res], Meng Li [ths], Michael Beauchamp [ths, dtc]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package gesisdata updated to version 0.1.2 with previous version 0.1.0 dated 2020-06-26

Title: Reproducible Data Retrieval from the GESIS Data Archive
Description: Reproducible, programmatic retrieval of datasets from the GESIS Data Archive. The GESIS Data Archive <https://search.gesis.org> makes available thousands of invaluable datasets, but researchers using these datasets are caught in a bind. The archive's terms and conditions bar dissemination of downloaded datasets to third parties, but to ensure that one's work can be reproduced, assessed, and built upon by others, one must provide access to the raw data one has employed. The 'gesisdata' package cuts this knot by providing registered users with programmatic, reproducible access to GESIS datasets from within 'R'.
Author: Frederick Solt [aut, cre, cph], Dave Peterson [ctb]
Maintainer: Frederick Solt <frederick-solt@uiowa.edu>

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Package ausplotsR updated to version 2.0.3 with previous version 1.2.9 dated 2023-05-17

Title: TERN AusPlots Australian Ecosystem Monitoring Data
Description: Extraction, preparation, visualisation and analysis of TERN AusPlots ecosystem monitoring data. Direct access to plot-based data on vegetation and soils across Australia, including physical sample barcode numbers. Simple function calls extract the data and merge them into species occurrence matrices for downstream analysis, or calculate things like basal area and fractional cover. TERN AusPlots is a national field plot-based ecosystem surveillance monitoring method and dataset for Australia. The data have been collected across a national network of plots and transects by the Terrestrial Ecosystem Research Network (TERN - <https://www.tern.org.au>), an Australian Government NCRIS-enabled project, and its Ecosystem Surveillance platform (<https://www.tern.org.au/tern-land-observatory/ecosystem-surveillance-and-environmental-monitoring/>).
Author: Greg Guerin [aut, cre], Tom Saleeba [aut], Samantha Munroe [aut], Bernardo Blanco-Martin [aut], Irene Martin-Fores [aut], Walid Al Naim [ctb], Andrew Tokmakoff [aut]
Maintainer: Greg Guerin <ggueri01@gmail.com>

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Package rpymat updated to version 0.1.6 with previous version 0.1.5 dated 2023-04-04

Title: Easy to Configure an Isolated 'Python' Environment
Description: Aims to create a single isolated 'Miniconda' and 'Python' environment for reproducible pipeline scripts. The package provides utilities to run system command within the 'conda' environment, making it easy to install, launch, manage, and stop 'Jupyter-lab'.
Author: Zhengjia Wang [cph, aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package dipsaus updated to version 0.2.8 with previous version 0.2.7 dated 2023-05-26

Title: A Dipping Sauce for Data Analysis and Visualizations
Description: Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using the 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.
Author: Zhengjia Wang [aut, cre], John Magnotti [ctb] , Xiang Zhang [ctb]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package vetiver updated to version 0.2.2 with previous version 0.2.1 dated 2023-05-16

Title: Version, Share, Deploy, and Monitor Models
Description: The goal of 'vetiver' is to provide fluent tooling to version, share, deploy, and monitor a trained model. Functions handle both recording and checking the model's input data prototype, and predicting from a remote API endpoint. The 'vetiver' package is extensible, with generics that can support many kinds of models.
Author: Julia Silge [cre, aut] , Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>

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Package periscope updated to version 1.0.2 with previous version 1.0.1 dated 2022-01-03

Title: Enterprise Streamlined 'Shiny' Application Framework
Description: An enterprise-targeted scalable and UI-standardized 'shiny' framework including a variety of developer convenience functions with the goal of both streamlining robust application development while assisting with creating a consistent user experience regardless of application or developer.
Author: Constance Brett [aut, cre], Isaac Neuhaus [aut] , Ger Inberg [ctb], Mohammed Ali [ctb], Bristol-Meyers Squibb [cph]
Maintainer: Constance Brett <connie@aggregate-genius.com>

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Package nonmem2rx updated to version 0.1.2 with previous version 0.1.1 dated 2023-06-01

Title: 'nonmem2rx' Converts 'NONMEM' Models to 'rxode2'
Description: 'NONMEM' has been a tool for running nonlinear mixed effects models since the 80s and is still used today (Bauer 2019 <doi:10.1002/psp4.12404>). This tool allows you to convert 'NONMEM' models to 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) and with simple models 'nlmixr2' syntax (Fidler et al (2019) <doi:10.1002/psp4.12445>). The 'nlmixr2' syntax requires the residual specification to be included and it is not always translated. If available, the 'rxode2' model will read in the 'NONMEM' data and compare the simulation for the population model ('PRED') individual model ('IPRED') and residual model ('IWRES') to immediately show how well the translation is performing. This saves the model development time for people who are creating an 'rxode2' model manually. Additionally, this package reads in all the information to allow simulation with uncertainty (that is the number of observations, the number of subjects, and the covariance matrix) with a 'rx [...truncated...]
Author: Matthew Fidler [aut, cre] , Philip Delff [ctb], Gabriel Staples [ctb]
Maintainer: Matthew Fidler <matt.fidler@novartis.com>

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Package leidenAlg updated to version 1.1.0 with previous version 1.0.5 dated 2022-09-30

Title: Implements the Leiden Algorithm via an R Interface
Description: An R interface to the Leiden algorithm, an iterative community detection algorithm on networks. The algorithm is designed to converge to a partition in which all subsets of all communities are locally optimally assigned, yielding communities guaranteed to be connected. The implementation proves to be fast, scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The original implementation was constructed as a python interface "leidenalg" found here: <https://github.com/vtraag/leidenalg>. The algorithm was originally described in Traag, V.A., Waltman, L. & van Eck, N.J. "From Louvain to Leiden: guaranteeing well-connected communities". Sci Rep 9, 5233 (2019) <doi:10.1038/s41598-019-41695-z>.
Author: Peter Kharchenko [aut], Viktor Petukhov [aut], V.A. Traag [ctb], Gabor Csardi [ctb], Tamas Nepusz [ctb], Minh Van Nguyen [ctb], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

Diff between leidenAlg versions 1.0.5 dated 2022-09-30 and 1.1.0 dated 2023-07-03

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 18 files changed, 138 insertions(+), 92 deletions(-)

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Package waywiser updated to version 0.4.1 with previous version 0.4.0 dated 2023-05-17

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

Diff between waywiser versions 0.4.0 dated 2023-05-17 and 0.4.1 dated 2023-07-03

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New package SeBR with initial version 1.0.0
Package: SeBR
Title: Semiparametric Bayesian Regression Analysis
Version: 1.0.0
Description: Monte Carlo and MCMC sampling algorithms for semiparametric Bayesian regression analysis. These models feature a nonparametric (unknown) transformation of the data paired with widely-used regression models including linear regression, spline regression, quantile regression, and Gaussian processes. The transformation enables broader applicability of these key models, including for real-valued, positive, and compactly-supported data with challenging distributional features. The samplers prioritize computational scalability and, for most cases, Monte Carlo (not MCMC) sampling for greater efficiency. Details of the methods and algorithms are provided in Kowal and Wu (2023) <arXiv:2306.05498>.
License: MIT + file LICENSE
URL: https://github.com/drkowal/SeBR, https://drkowal.github.io/SeBR/
BugReports: https://github.com/drkowal/SeBR/issues
Imports: fields, GpGp, MASS, quantreg, spikeSlabGAM, statmod
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-06-30 20:11:03 UTC; danielkowal
Author: Dan Kowal [aut, cre, cph]
Maintainer: Dan Kowal <daniel.r.kowal@gmail.com>
Repository: CRAN
Date/Publication: 2023-07-03 16:30:10 UTC

More information about SeBR at CRAN
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New package omicsTools with initial version 1.0.5
Package: omicsTools
Title: Omics Data Process Toolbox
Version: 1.0.5
Date: 2023-06-29
Description: Processing and analyzing omics data from genomics, transcriptomics, proteomics, and metabolomics platforms. It provides functions for preprocessing, normalization, visualization, and statistical analysis, as well as machine learning algorithms for predictive modeling. 'omicsTools' is an essential tool for researchers working with high-throughput omics data in fields such as biology, bioinformatics, and medicine.The QC-RLSC (quality control–based robust LOESS signal correction) algorithm is used for normalization. Dunn et al. (2011) <doi:10.1038/nprot.2011.335>.
License: MIT + file LICENSE
Imports: bs4Dash, config (>= 0.3.1), dplyr, DT, golem (>= 0.3.5), magrittr, readr, shiny (>= 1.7.2), tibble
Encoding: UTF-8
Suggests: spelling, testthat (>= 3.0.0)
URL: https://github.com/YaoxiangLi/omicsTools
BugReports: https://github.com/YaoxiangLi/omicsTools/issues
NeedsCompilation: no
Packaged: 2023-06-30 18:20:54 UTC; bach
Author: Yaoxiang Li [cre, aut] , Zihao Zhang [aut], Meth Jayatilake [aut], Amrita Cheema [aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2023-07-03 16:20:02 UTC

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New package Elja with initial version 1.0.0
Package: Elja
Title: Linear, Logistic and Generalized Linear Models Regressions for the EnvWAS/EWAS Approach
Version: 1.0.0
Maintainer: Marwan El Homsi <marwan.el-homsi@inserm.fr>
Description: Tool for Environment-Wide Association Studies (EnvWAS / EWAS) which are repeated analysis. It includes three functions. One function for linear regression, a second for logistic regression and a last one for generalized linear models.
Depends: R (>= 4.3)
Imports: stats, devtools, dplyr, ggplot2, MASS
Suggests: knitr, rmarkdown, mlbench
License: GPL (>= 3)
URL: https://github.com/EHMarwan/Elja
BugReports: https://github.com/EHMarwan/Elja/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-06-30 19:54:06 UTC; Marwan
Author: Marwan El Homsi [aut, cre, cph] , Isabella Annesi-Maesano [ctb, ths, fnd]
Repository: CRAN
Date/Publication: 2023-07-03 16:20:05 UTC

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New package conrad with initial version 1.0.0
Package: conrad
Title: Client for the Microsoft's 'Cognitive Services Text to Speech REST' API
Version: 1.0.0
Description: Convert text into synthesized speech and get a list of supported voices for a region. Microsoft's 'Cognitive Services Text to Speech REST' API <https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/rest-text-to-speech?tabs=streaming> supports neural text to speech voices, which support specific languages and dialects that are identified by locale.
URL: https://github.com/fhdsl/conrad
BugReports: https://github.com/fhdsl/conrad/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: httr2, jsonlite, magrittr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-06-30 20:06:32 UTC; howardbaek
Author: Howard Baek [aut, cre, cph] , John Muschelli [aut]
Maintainer: Howard Baek <howardbaek.fh@gmail.com>
Repository: CRAN
Date/Publication: 2023-07-03 16:30:07 UTC

More information about conrad at CRAN
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Package modeltime updated to version 1.2.7 with previous version 1.2.6 dated 2023-03-31

Title: The Tidymodels Extension for Time Series Modeling
Description: The time series forecasting framework for use with the 'tidymodels' ecosystem. Models include ARIMA, Exponential Smoothing, and additional time series models from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition" (<https://otexts.com/fpp2/>). Refer to "Prophet: forecasting at scale" (<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>

Diff between modeltime versions 1.2.6 dated 2023-03-31 and 1.2.7 dated 2023-07-03

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Package dispeRse updated to version 1.1 with previous version 1.0 dated 2022-08-14

Title: Simulation of Demic Diffusion with Environmental Constraints
Description: Simulates demic diffusion building on models previously developed for the expansion of Neolithic and other food-producing economies during the Holocene (Fort et al. (2012) <doi:10.7183/0002-7316.77.2.203>, Souza et al. (2021) <doi:10.1098/rsif.2021.0499>). Growth and emigration are modelled as density-dependent processes using logistic growth and an asymptotic threshold model. Environmental and terrain layers, which can change over time, affect carrying capacity, growth and mobility. Multiple centres of origin with their respective starting times can be specified.
Author: Jonas Gregorio de Souza [aut, cre]
Maintainer: Jonas Gregorio de Souza <jonas.gregorio@gmail.com>

Diff between dispeRse versions 1.0 dated 2022-08-14 and 1.1 dated 2023-07-03

 DESCRIPTION  |   10 +++++-----
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 6 files changed, 33 insertions(+), 14 deletions(-)

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Package rpact updated to version 3.4.0 with previous version 3.3.4 dated 2023-02-14

Title: Confirmatory Adaptive Clinical Trial Design and Analysis
Description: Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Author: Gernot Wassmer [aut] , Friedrich Pahlke [aut, cre] , Till Jensen [ctb], Stephen Schueuerhuis [ctb]
Maintainer: Friedrich Pahlke <friedrich.pahlke@rpact.com>

Diff between rpact versions 3.3.4 dated 2023-02-14 and 3.4.0 dated 2023-07-03

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More information about rpact at CRAN
Permanent link

Package Rfast updated to version 2.0.8 with previous version 2.0.7 dated 2023-02-16

Title: A Collection of Efficient and Extremely Fast R Functions
Description: A collection of fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions. References: a) Tsagris M., Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 <doi:10.7287/peerj.preprints.26605v1>. b) Tsagris M. and Papadakis M. (2018). Forward regression in R: from the extreme slow to the extreme fast. Journal of Data Science, 16(4): 771--780. <doi:10.6339/JDS.201810_16(4).00006>.
Author: Manos Papadakis, Michail Tsagris, Marios Dimitriadis, Stefanos Fafalios, Ioannis Tsamardinos, Matteo Fasiolo, Giorgos Borboudakis, John Burkardt, Changliang Zou, Kleanthi Lakiotaki and Christina Chatzipantsiou.
Maintainer: Manos Papadakis <rfastofficial@gmail.com>

Diff between Rfast versions 2.0.7 dated 2023-02-16 and 2.0.8 dated 2023-07-03

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More information about Rfast at CRAN
Permanent link

Package stRoke updated to version 23.6.3 with previous version 23.4.1 dated 2023-04-13

Title: Clinical Stroke Research
Description: This is an R-toolbox of custom functions for convenient data management and analysis in clinical health research and teaching. The package is mainly collected for personal use, but any use beyond that is encouraged. This package has migrated functions from 'agdamsbo/daDoctoR', and new functions has been added. Version follows months and year. See NEWS/Changelog for release notes. This package includes sampled data from the TALOS trial (Kraglund et al (2018) <doi:10.1161/STROKEAHA.117.020067>). The win_prob() function is based on work by Zou et al (2022) <doi:10.1161/STROKEAHA.121.037744>. The age_calc() function is based on work by Becker (2020) <doi:10.18637/jss.v093.i02>.
Author: Andreas Gammelgaard Damsbo [aut, cre]
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@clin.au.dk>

Diff between stRoke versions 23.4.1 dated 2023-04-13 and 23.6.3 dated 2023-07-03

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Package SDMtune updated to version 1.3.1 with previous version 1.3.0 dated 2023-05-02

Title: Species Distribution Model Selection
Description: User-friendly framework that enables the training and the evaluation of species distribution models (SDMs). The package implements functions for data driven variable selection and model tuning and includes numerous utilities to display the results. All the functions used to select variables or to tune model hyperparameters have an interactive real-time chart displayed in the 'RStudio' viewer pane during their execution.
Author: Sergio Vignali [aut, cre] , Arnaud Barras [aut] , Veronika Braunisch [aut] , Conservation Biology - University of Bern [fnd]
Maintainer: Sergio Vignali <sergio.vignali@unibe.ch>

Diff between SDMtune versions 1.3.0 dated 2023-05-02 and 1.3.1 dated 2023-07-03

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Package jacobi updated to version 2.3.1 with previous version 2.3.0 dated 2023-04-24

Title: Jacobi Theta Functions and Related Functions
Description: Evaluation of the Jacobi theta functions and related functions: Weierstrass elliptic function, Weierstrass sigma function, Weierstrass zeta function, Klein j-function, Dedekind eta function, lambda modular function, Jacobi elliptic functions, Neville theta functions, Eisenstein series, lemniscate elliptic functions, and Dixon elliptic functions. Complex values of the variable are supported.
Author: Stephane Laurent [aut, cre], Mikael Fremling [aut]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package datefixR updated to version 1.5.0 with previous version 1.4.1 dated 2023-02-10

Title: Standardize Dates in Different Formats or with Missing Data
Description: There are many different formats dates are commonly represented with: the order of day, month, or year can differ, different separators ("-", "/", or whitespace) can be used, months can be numerical, names, or abbreviations and year given as two digits or four. 'datefixR' takes dates in all these different formats and converts them to R's built-in date class. If 'datefixR' cannot standardize a date, such as because it is too malformed, then the user is told which date cannot be standardized and the corresponding ID for the row. 'datefixR' also allows the imputation of missing days and months with user-controlled behavior.
Author: Nathan Constantine-Cooke [aut, cre] , Jonathan Kitt [ctb, trl], Antonio J. Perez-Luque [ctb, trl] , Daniel Possenriede [ctb, trl] , Kaique dos S. Alves [rev] , Al-Ahmadgaid B. Asaad [rev] , Anatoly Tsyplenkov [ctb, trl]
Maintainer: Nathan Constantine-Cooke <nathan.constantine-cooke@ed.ac.uk>

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Package flashlighttext (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:

2023-06-28 0.1.0

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Package covatest updated to version 1.2.3 with previous version 1.2.2 dated 2022-10-28

Title: Tests on Properties of Space-Time Covariance Functions
Description: Tests on properties of space-time covariance functions. Tests on symmetry, separability and for assessing different forms of non-separability are available. Moreover tests on some classes of covariance functions, such that the classes of product-sum models, Gneiting models and integrated product models have been provided. It is the companion R package to the papers of Cappello, C., De Iaco, S., Posa, D., 2018, Testing the type of non-separability and some classes of space-time covariance function models <doi:10.1007/s00477-017-1472-2> and Cappello, C., De Iaco, S., Posa, D., 2020, covatest: an R package for selecting a class of space-time covariance functions <doi:10.18637/jss.v094.i01>.
Author: Sandra De Iaco [aut, cre], Claudia Cappello [aut], Donato Posa [aut], Sabrina Maggio [ctb]
Maintainer: Sandra De Iaco <sandra.deiaco@unisalento.it>

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Package caper updated to version 1.0.2 with previous version 1.0.1 dated 2018-04-17

Title: Comparative Analyses of Phylogenetics and Evolution in R
Description: Functions for performing phylogenetic comparative analyses.
Author: David Orme [aut, cre] , Rob Freckleton [aut], Gavin Thomas [aut], Thomas Petzoldt [aut], Susanne Fritz [aut], Nick Isaac [aut], Will Pearse [aut]
Maintainer: David Orme <d.orme@imperial.ac.uk>

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Package arealDB updated to version 0.6.3 with previous version 0.6.2 dated 2023-06-15

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 stopp updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-24

Title: Spatio-Temporal Point Pattern Methods, Model Fitting, Diagnostics, Simulation, Local Tests
Description: Toolbox for different kinds of spatio-temporal analyses to be performed on observed point patterns, following the growing stream of literature on point process theory. This R package implements functions to perform different kinds of analyses on point processes, proposed in the papers (Siino, Adelfio, and Mateu 2018<doi:10.1007/s00477-018-1579-0>; Siino et al. 2018<doi:10.1002/env.2463>; Adelfio et al. 2020<doi:10.1007/s00477-019-01748-1>; D’Angelo, Adelfio, and Mateu 2021<doi:10.1016/j.spasta.2021.100534>; D’Angelo, Adelfio, and Mateu 2022<doi:10.1007/s00362-022-01338-4>; D’Angelo, Adelfio, and Mateu 2023<doi:10.1016/j.csda.2022.107679>). The main topics include modeling, statistical inference, and simulation issues on spatio-temporal point processes on Euclidean space and linear networks.
Author: Nicoletta D'Angelo [aut, cre] , Giada Adelfio [aut]
Maintainer: Nicoletta D'Angelo <nicoletta.dangelo@unipa.it>

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Package jmvReadWrite updated to version 0.3.7 with previous version 0.3.6 dated 2023-06-26

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]
Maintainer: Sebastian Jentschke <sebastian.jentschke@uib.no>

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Package disclosuR updated to version 0.5.1 with previous version 0.5.0 dated 2023-06-26

Title: Text Conversion from Nexis Uni PDFs to R Data Frames
Description: Transform 'newswire' and earnings call transcripts as PDF obtained from 'Nexis Uni' to R data frames. Various 'newswires' and 'FairDisclosure' earnings call formats are supported. Further, users can apply several pre-defined dictionaries on the data based on Graffin et al. (2016)<doi:10.5465/amj.2013.0288> and Gamache et al. (2015)<doi:10.5465/amj.2013.0377>.
Author: Jonas Roettger [aut, cre]
Maintainer: Jonas Roettger <jonas.roettger@gmx.net>

Diff between disclosuR versions 0.5.0 dated 2023-06-26 and 0.5.1 dated 2023-07-03

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Package dclone updated to version 2.3-2 with previous version 2.3-0 dated 2019-03-22

Title: Data Cloning and MCMC Tools for Maximum Likelihood Methods
Description: Low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods as described in Solymos 2010 <doi:10.32614/RJ-2010-011>. Sequential and parallel MCMC support for 'JAGS', 'WinBUGS', 'OpenBUGS', and 'Stan'.
Author: Peter Solymos [aut, cre]
Maintainer: Peter Solymos <psolymos@gmail.com>

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Package PaRe (with last version 0.1.10) was removed from CRAN

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

2023-06-16 0.1.10
2023-06-12 0.1.9
2023-06-08 0.1.8
2023-06-05 0.1.7
2023-06-02 0.1.6

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Package madrat (with last version 3.3.0) was removed from CRAN

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

2023-05-02 3.3.0
2021-10-11 2.3.2
2021-10-05 2.3.1
2019-12-17 1.64.5
2019-12-16 1.64.4
2019-05-29 1.61.0
2017-09-06 1.22.1
2017-05-29 1.8.0

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Package WH (with last version 1.0.3) was removed from CRAN

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

2023-06-14 1.0.3

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Package ordbetareg (with last version 0.7.1) was removed from CRAN

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

2023-03-15 0.7.1

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Package ganalytics (with last version 0.10.7) was removed from CRAN

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

2019-03-02 0.10.7
2019-01-07 0.10.6
2018-07-01 0.10.4

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Package ppmSuite (with last version 0.3.2) was removed from CRAN

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

2023-04-09 0.3.2
2023-04-03 0.3.1
2022-06-15 0.2.4
2022-06-13 0.2.3
2022-05-31 0.2.2
2022-01-21 0.2.1
2021-09-14 0.1.8
2021-06-29 0.1.7
2021-05-29 0.1.6
2021-01-04 0.1.3
2020-11-26 0.1.1
2020-11-23 0.1.0

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Package reproducible updated to version 2.0.5 with previous version 2.0.4 dated 2023-05-31

Title: Enhance Reproducibility of R Code
Description: A collection of high-level, machine- and OS-independent tools for making reproducible and reusable content in R. The two workhorse functions are Cache() and prepInputs(). Cache() allows for nested caching, is robust to environments and objects with environments (like functions), and has deals with some classes of file-backed R objects e.g., from terra and raster packages. Both functions have been developed to be foundational components of data retrieval and processing in continuous workflow situations. In both functions, efforts are made to make the first and subsequent calls of functions have the same result, but faster at subsequent times by way of checksums and digesting. Several features are still under development, including cloud storage of cached objects, allowing for sharing between users. Several advanced options are available, see ?reproducibleOptions().
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [aut] , Tati Micheletti [ctb] , Ceres Barros [ctb] , Ian Eddy [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Package rankinma updated to version 0.1.8 with previous version 0.1.7 dated 2023-04-23

Title: Ranking in Network Meta-Analysis
Description: A supportive collection of functions for gathering and plotting treatment ranking metrics after network meta-analysis.
Author: Cheihfeng Chen [aut] , Enoch Kang [aut, cre, trl] , Wen-Hsuan Hou [aut] , Jin-Hua Chen [aut] , Yu-Chieh Chuang [aut] , Edwin Chan [aut]
Maintainer: Enoch Kang <y.enoch.kang@gmail.com>

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Package MBMethPred updated to version 0.1.2 with previous version 0.1.1 dated 2023-06-30

Title: Medulloblastoma Subgroups Prediction
Description: Utilizing a combination of machine learning models (Random Forest, Naive Bayes, K-Nearest Neighbor, Support Vector Machines, Extreme Gradient Boosting, and Linear Discriminant Analysis) and a deep Artificial Neural Network model, 'MBMethPred' can predict medulloblastoma subgroups, including wingless (WNT), sonic hedgehog (SHH), Group 3, and Group 4 from DNA methylation beta values.
Author: Edris Sharif Rahmani [aut, ctb, cre] , Ankita Sunil Lawarde [aut, ctb] , Vijayachitra Modhukur [aut, ctb]
Maintainer: Edris Sharif Rahmani <rahmani.biotech@gmail.com>

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Package cuRe updated to version 1.1.1 with previous version 1.1.0 dated 2022-05-16

Title: Parametric Cure Model Estimation
Description: Contains functions for estimating generalized parametric mixture and non-mixture cure models <doi:10.1016/j.cmpb.2022.107125>, loss of lifetime, mean residual lifetime, and crude event probabilities.
Author: Lasse Hjort Jakobsen [aut, cre], Mark Clements [cph], Rasmus Kuhr Jensen [ctb], Lars Klingen Gjaerde [ctb]
Maintainer: Lasse Hjort Jakobsen <hjort9230@hotmail.com>

Diff between cuRe versions 1.1.0 dated 2022-05-16 and 1.1.1 dated 2023-07-03

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