Mon, 04 Oct 2021

New package rbooster with initial version 1.0.2
Package: rbooster
Title: AdaBoost Framework for Any Classifier
Version: 1.0.2
Description: This is a simple package which provides a function that boosts pre-ready or custom-made classifiers. Package uses Discrete AdaBoost (<doi:10.1006/jcss.1997.1504>) for two class, SAMME (<doi:10.4310/SII.2009.v2.n3.a8>) for multiclass classification.
Depends: R (> 4.0.1)
Imports: stats, rpart, earth, Hmisc
Suggests: knitr, imbalance, nnet, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-10-04 13:08:41 UTC; Fatih
Author: Fatih Saglam [aut, cre] (<https://orcid.org/0000-0002-2084-2008>), Hasan Bulut [ctb]
Maintainer: Fatih Saglam <fatih.saglam@omu.edu.tr>
Repository: CRAN
Date/Publication: 2021-10-04 20:20:02 UTC

More information about rbooster at CRAN
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New package insiderTrades with initial version 0.0.1
Package: insiderTrades
Title: Tools to Download Insider Transactions and Holdings
Version: 0.0.1
Description: Download insider trading transactions and insider holdings from a public NoSQL SEC database (<https://www.sec.gov/Archives/edgar/full-index/>) using keyword criteria and generate a relational dataframe.
License: CC0
URL: https://github.com/US-Department-of-the-Treasury/insiderTrades
BugReports: https://github.com/US-Department-of-the-Treasury/insiderTrades/issues
Encoding: UTF-8
Imports: stringr (>= 1.4.0), magrittr (>= 2.0.1), RCurl (>= 1.98-1.3)
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-10-04 15:27:11 UTC; HancuchJ
Author: Joseph Hancuch [aut, cre]
Maintainer: Joseph Hancuch <joseph.hancuch@treasury.gov>
Repository: CRAN
Date/Publication: 2021-10-04 20:20:05 UTC

More information about insiderTrades at CRAN
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New package isokernel with initial version 0.1.0
Package: isokernel
Title: Isolation Kernel
Version: 0.1.0
Maintainer: Ye Zhu <ye.zhu@ieee.org>
Description: Implementation of Isolation kernel (Qin et al. (2019) <doi:10.1609/aaai.v33i01.33014755>).
License: GPL-3
URL: https://github.com/zhuye88/isokernel
BugReports: https://github.com/zhuye88/isokernel/issues
Depends: R (>= 3.5.0)
Imports: RANN (>= 2.6.1), Matrix (>= 1.3-4)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2021-10-04 09:52:02 UTC; YE
Author: Ye Zhu [aut, cre, cph]
Repository: CRAN
Date/Publication: 2021-10-04 19:50:02 UTC

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New package deepregression with initial version 0.1
Package: deepregression
Title: Fitting Deep Distributional Regression
Version: 0.1
Description: Allows for the specification of semi-structured deep distributional regression models which are fitted in a neural network as proposed by Ruegamer et al. (2021) <arXiv:2104.02705>. Predictors can be modeled using structured (penalized) linear effects, structured non-linear effects or using an unstructured deep network model.
Config/reticulate: list( packages = list( list(package = "six", pip = TRUE), list(package = "tensorflow", version = "2.5.0rc0", pip = TRUE), list(package = "tensorflow_probability", version = "0.12", pip = TRUE), list(package = "keras", version = "2.5.0rc0", pip = TRUE)) )
Depends: R (>= 4.0.0)
Suggests: testthat, knitr
Imports: tensorflow (>= 2.2.0), tfprobability, keras, mgcv, dplyr, purrr, R6, reticulate (>= 1.14), Matrix, magrittr, Metrics, tfruns, methods, utils
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-10-04 08:59:25 UTC; david
Author: David Ruegamer [aut, cre], Florian Pfisterer [ctb], Philipp Baumann [ctb], Chris Kolb [ctb]
Maintainer: David Ruegamer <david.ruegamer@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-04 19:50:04 UTC

More information about deepregression at CRAN
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Package waiter updated to version 0.2.4 with previous version 0.2.3 dated 2021-07-21

Title: Loading Screen for 'Shiny'
Description: Full screen and partial loading screens for 'Shiny' with spinners, progress bars, and notifications.
Author: John Coene [aut, cre], Jinhwan Kim [ctb], Victor Granda [ctb] (<https://orcid.org/0000-0002-0469-1991>)
Maintainer: John Coene <jcoenep@gmail.com>

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Package phylopath updated to version 1.1.3 with previous version 1.1.2 dated 2019-12-06

Title: Perform Phylogenetic Path Analysis
Description: A comprehensive and easy to use R implementation of confirmatory phylogenetic path analysis as described by Von Hardenberg and Gonzalez-Voyer (2012) <doi:10.1111/j.1558-5646.2012.01790.x>.
Author: Wouter van der Bijl [aut, cre]
Maintainer: Wouter van der Bijl <wouter@zoology.ubc.ca>

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Package echarts4r updated to version 0.4.2 with previous version 0.4.1 dated 2021-07-14

Title: Create Interactive Graphs with 'Echarts JavaScript' Version 5
Description: Easily create interactive charts by leveraging the 'Echarts Javascript' library which includes 36 chart types, themes, 'Shiny' proxies and animations.
Author: John Coene [aut, cre, cph], Wei Su [ctb], Helgasoft [ctb], Xianying Tan [ctb] (<https://orcid.org/0000-0002-6072-3521>), Robin Cura [ctb] (<https://orcid.org/0000-0001-5926-1828>), Mathida Chuk [ctb]
Maintainer: John Coene <jcoenep@gmail.com>

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Package cuml (with last version 0.2.1) was removed from CRAN

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

2021-09-20 0.2.1
2021-09-16 0.2.0

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Package danstat (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:

2020-02-06 0.1.0

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Package superb updated to version 0.9.7.6 with previous version 0.9.7.5 dated 2021-06-23

Title: Summary Plots with Adjusted Error Bars
Description: Computes standard error and confidence interval of various descriptive statistics under various designs and sampling schemes. The main function, superbPlot(), can either return a plot or a dataframe with the statistic and its precision interval so that other plotting package can be used. See Cousineau and colleagues (2021) <doi:10.1177/25152459211035109> or Cousineau (2017) <doi:10.5709/acp-0214-z> for a review as well as Cousineau (2005) <doi:10.20982/tqmp.01.1.p042>, Morey (2008) <doi:10.20982/tqmp.04.2.p061>, Baguley (2012) <doi:10.3758/s13428-011-0123-7>, Cousineau & Laurencelle (2016) <doi:10.1037/met0000055>, Cousineau & O'Brien (2014) <doi:10.3758/s13428-013-0441-z>, Calderini & Harding <doi:10.20982/tqmp.15.1.p001> for specific references.
Author: Denis Cousineau [aut, cre], Bradley Harding [ctb], Marc-Andre Goulet [ctb], Jesika Walker [art, pre]
Maintainer: Denis Cousineau <denis.cousineau@uottawa.ca>

Diff between superb versions 0.9.7.5 dated 2021-06-23 and 0.9.7.6 dated 2021-10-04

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Package mlr3benchmark updated to version 0.1.3 with previous version 0.1.2 dated 2021-04-19

Title: Analysis and Visualisation of Benchmark Experiments
Description: Implements methods for post-hoc analysis and visualisation of benchmark experiments, for 'mlr3' and beyond.
Author: Sonabend Raphael [cre, aut] (<https://orcid.org/0000-0001-9225-4654>), Florian Pfisterer [aut] (<https://orcid.org/0000-0001-8867-762X>), Michel Lang [ctb] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [ctb] (<https://orcid.org/0000-0001-6002-6980>)
Maintainer: Sonabend Raphael <raphaelsonabend@gmail.com>

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Package ezcox updated to version 1.0.1 with previous version 1.0.0 dated 2021-09-12

Title: Easily Process a Batch of Cox Models
Description: A tool to operate a batch of univariate or multivariate Cox models and return tidy result.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>)
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package WordOfMouth updated to version 1.1.0 with previous version 1.0.0 dated 2020-03-30

Title: Estimates Economic Variables for Word-of-Mouth-Campaigns
Description: Methods for estimating profit, profit-maximizing price, demand and consumer surplus of Word-of-Mouth-campaigns on mean-field networks.
Author: Michael Scholz [cre, aut], Thomas Woehner [aut], Ralf Peters [ctb]
Maintainer: Michael Scholz <michael.scholz@th-deg.de>

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Package latentcor updated to version 1.1.0 with previous version 1.0.0 dated 2021-08-26

Title: Fast Computation of Latent Correlations for Mixed Data
Description: The first stand-alone R package for computation of latent correlation that takes into account all variable types (continuous/binary/ordinal/zero-inflated), comes with an optimized memory footprint, and is computationally efficient, essentially making latent correlation estimation almost as fast as rank-based correlation estimation. The estimation is based on latent copula Gaussian models. For continuous/binary types, see Fan, J., Liu, H., Ning, Y., and Zou, H. (2017) <doi:10.1111/rssb.12168>. For ternary type, see Quan X., Booth J.G. and Wells M.T. (2018) <arXiv:1809.06255>. For truncated type or zero-inflated type, see Yoon G., Carroll R.J. and Gaynanova I. (2020) <doi:10.1093/biomet/asaa007>. For approximation method of computation, see Yoon G., Müller C.L. and Gaynanova I. (2021) <doi:10.1080/10618600.2021.1882468>.
Author: Mingze Huang [aut, cre] (<https://orcid.org/0000-0003-3919-1564>), Grace Yoon [aut] (<https://orcid.org/0000-0003-3263-1352>), Christian M&uuml;ller [aut] (<https://orcid.org/0000-0002-3821-7083>), Irina Gaynanova [aut] (<https://orcid.org/0000-0002-4116-0268>)
Maintainer: Mingze Huang <mingzehuang@gmail.com>

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Package logr updated to version 1.2.6 with previous version 1.2.5 dated 2021-07-30

Title: Creates Log Files
Description: Contains functions to help create log files. The package aims to overcome the difficulty of the base R sink() command. The log_print() function will print to both the console and the file log, without interfering in other write operations.
Author: David Bosak [aut, cre]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package stringi updated to version 1.7.5 with previous version 1.7.4 dated 2021-08-25

Title: Character String Processing Facilities
Description: A collection of character string/text/natural language processing tools for pattern searching (e.g., with 'Java'-like regular expressions or the 'Unicode' collation algorithm), random string generation, case mapping, string transliteration, concatenation, sorting, padding, wrapping, Unicode normalisation, date-time formatting and parsing, and many more. They are fast, consistent, convenient, and - thanks to 'ICU' (International Components for Unicode) - portable across all locales and platforms.
Author: Marek Gagolewski [aut, cre, cph] (<https://orcid.org/0000-0003-0637-6028>), Bartek Tartanus [ctb], and others (stringi source code); Unicode, Inc. and others (ICU4C source code, Unicode Character Database)
Maintainer: Marek Gagolewski <marek@gagolewski.com>

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Package hereR updated to version 0.8.1 with previous version 0.8.0 dated 2021-09-28

Title: 'sf'-Based Interface to the 'HERE' REST APIs
Description: Interface to the 'HERE' REST APIs <https://developer.here.com/develop/rest-apis>: (1) geocode and autosuggest addresses or reverse geocode POIs using the 'Geocoder' API; (2) route directions, travel distance or time matrices and isolines using the 'Routing', 'Matrix Routing' and 'Isoline Routing' APIs; (3) request real-time traffic flow and incident information from the 'Traffic' API; (4) find request public transport connections and nearby stations from the 'Public Transit' API; (5) request intermodal routes using the 'Intermodal Routing' API; (6) get weather forecasts, reports on current weather conditions, astronomical information and alerts at a specific location from the 'Destination Weather' API. Locations, routes and isolines are returned as 'sf' objects.
Author: Merlin Unterfinger [aut, cre] (<https://orcid.org/0000-0003-2020-2366>), Daniel Possenriede [ctb] (<https://orcid.org/0000-0002-6738-9845>)
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

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Package funreg updated to version 1.2.2 with previous version 1.2 dated 2016-08-24

Title: Functional Regression for Irregularly Timed Data
Description: Performs functional regression, and some related approaches, for intensive longitudinal data (see the book by Walls & Schafer, 2006, Models for Intensive Longitudinal Data, Oxford) when such data is not necessarily observed on an equally spaced grid of times. The approach generally follows the ideas of Goldsmith, Bobb, Crainiceanu, Caffo, and Reich (2011)<DOI:10.1198/jcgs.2010.10007> and the approach taken in their sample code, but with some modifications to make it more feasible to use with long rather than wide, non-rectangular longitudinal datasets with unequal and potentially random measurement times. It also allows easy plotting of the correlation between the smoothed covariate and the outcome as a function of time, which can add additional insights on how to interpret a functional regression. Additionally, it also provides several permutation tests for the significance of the functional predictor. The heuristic interpretation of ``time'' is used to describe the index of the functional predictor, but the same methods can equally be used for another unidimensional continuous index, such as space along a north-south axis. Note that most of the functionality of this package has been superseded by added features after 2016 in the 'pfr' function by Jonathan Gellar, Mathew W. McLean, Jeff Goldsmith, and Fabian Scheipl, in the 'refund' package built by Jeff Goldsmith and co-authors and maintained by Julia Wrobel. The development of the funreg package in 2015 and 2016 was part of a research project supported by Award R03 CA171809-01 from the National Cancer Institute and Award P50 DA010075 from the National Institute on Drug Abuse. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Drug Abuse, the National Cancer Institute, or the National Institutes of Health.
Author: John Dziak [aut, cre] (<https://orcid.org/0000-0003-0762-5495>), Mariya Shiyko [aut]
Maintainer: John Dziak <dziakj1@gmail.com>

Diff between funreg versions 1.2 dated 2016-08-24 and 1.2.2 dated 2021-10-04

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New package childesr with initial version 0.2.2
Package: childesr
Title: Accessing the 'CHILDES' Database
Description: Tools for connecting to 'CHILDES', an open repository for transcripts of parent-child interaction. For more information on the underlying data, see <https://childes-db.stanford.edu>.
Version: 0.2.2
Depends: R (>= 4.0)
License: GPL-3
URL: https://github.com/langcog/childesr
BugReports: https://github.com/langcog/childesr/issues
Encoding: UTF-8
Imports: DBI (>= 1.1), dbplyr (>= 2.1), dplyr (>= 1.0), jsonlite (>= 1.7), magrittr (>= 2.0), purrr (>= 0.3), RMySQL (>= 0.10.21)
Suggests: knitr, rmarkdown, curl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-10-01 18:25:57 UTC; mikabr
Author: Mika Braginsky [aut, cre], Alessandro Sanchez [aut, ctb], Daniel Yurovsky [aut], Kyle MacDonald [ctb], Stephan Meylan [ctb], Jessica Mankewitz [ctb]
Maintainer: Mika Braginsky <mika.br@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-04 09:40:02 UTC

More information about childesr at CRAN
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Package BayesTools updated to version 0.1.2 with previous version 0.1.1 dated 2021-07-13

Title: Tools for Bayesian Analyses
Description: Provides tools for conducting Bayesian analyses. The package contains functions for creating a wide range of prior distribution objects, mixing posterior samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc... The tools for working with prior distribution span from visualization, generating 'JAGS' and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.
Author: František Bartoš [aut, cre] (<https://orcid.org/0000-0002-0018-5573>)
Maintainer: František Bartoš <f.bartos96@gmail.com>

Diff between BayesTools versions 0.1.1 dated 2021-07-13 and 0.1.2 dated 2021-10-04

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More information about BayesTools at CRAN
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Package TropFishR updated to version 1.6.3 with previous version 1.6.2 dated 2020-01-28

Title: Tropical Fisheries Analysis
Description: A compilation of fish stock assessment methods for the analysis of length-frequency data in the context of data-poor fisheries. Includes methods and examples included in the FAO Manual by P. Sparre and S.C. Venema (1998), "Introduction to tropical fish stock assessment" (<http://www.fao.org/documents/card/en/c/9bb12a06-2f05-5dcb-a6ca-2d6dd3080f65/>), as well as other more recent methods.
Author: Tobias K. Mildenberger [aut, cre], Marc H. Taylor [aut], Matthias Wolff [aut]
Maintainer: Tobias K. Mildenberger <t.k.mildenberger@gmail.com>

Diff between TropFishR versions 1.6.2 dated 2020-01-28 and 1.6.3 dated 2021-10-04

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New package wig with initial version 0.1.0
Package: wig
Title: Import WIG Data into R in Long Format
Version: 0.1.0
Description: Import WIG data into R in long format.
License: MIT + file LICENSE
URL: https://github.com/ramiromagno/wig
BugReports: https://github.com/ramiromagno/wig/issues
Encoding: UTF-8
Imports: dplyr, magrittr, stringr, tibble
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2021-10-02 10:57:25 UTC; rmagno
Author: Ramiro Magno [aut, cre] (<https://orcid.org/0000-0001-5226-3441>)
Maintainer: Ramiro Magno <ramiro.magno@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-04 08:20:02 UTC

More information about wig at CRAN
Permanent link

Package testthat updated to version 3.1.0 with previous version 3.0.4 dated 2021-07-01

Title: Unit Testing for R
Description: Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd], R Core team [ctb] (Implementation of utils::recover())
Maintainer: Hadley Wickham <hadley@rstudio.com>

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New package robustsur with initial version 0.0-7
Package: robustsur
Version: 0.0-7
Date: 2021-10-03
Title: Robust Estimation for Seemingly Unrelated Regression Models
Maintainer: Claudio Agostinelli <claudio.agostinelli@unitn.it>
Description: Data sets are often corrupted by outliers. When data are multivariate outliers can be classified as case-wise or cell-wise. The latters are particularly challenge to handle. We implement a robust estimation procedure for Seemingly Unrelated Regression Models which is able to cope well with both type of outliers. Giovanni Saraceno, Fatemah Alqallaf, Claudio Agostinelli (2021) <arXiv:2107.00975>.
Depends: R (>= 3.0.0), robustbase, robreg3S
Imports: Matrix, GSE
Suggests: systemfit
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-10-03 14:59:00 UTC; claudio
Author: Claudio Agostinelli [aut, cre] (<https://orcid.org/0000-0001-6702-4312>), Giovanni Saraceno [aut] (<https://orcid.org/0000-0002-1753-2367>)
Repository: CRAN
Date/Publication: 2021-10-04 08:40:02 UTC

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Package ReDirection updated to version 1.0.1 with previous version 1.0.0 dated 2021-09-29

Title: Predict Dominant Direction of Reactions of a Biochemical Network
Description: Biologically relevant, yet mathematically sound constraints are used to compute the propensity and thence infer the dominant direction of reactions of a generic biochemical network. The reactions must be unique and their number must exceed that of the reactants,i.e., reactions >= reactants + 2. 'ReDirection', computes the null space of a user-defined stoichiometry matrix. The spanning non-zero and unique reaction vectors (RVs) are combinatorially summed to generate one or more subspaces recursively. Every reaction is represented as a sequence of identical components across all RVs of a particular subspace. The terms are evaluated with (biologically relevant bounds, linear maps, tests of convergence, descriptive statistics, vector norms) and the terms are classified into forward-, reverse- and equivalent-subsets. Since, these are mutually exclusive the probability of occurrence is binary (all, 1; none, 0). The combined propensity of a reaction is the p1-norm of the sub-propensities, i.e., sum of the products of the probability and maximum numeric value of a subset (least upper bound, greatest lower bound). This, if strictly positive is the probable rate constant, is used to infer dominant direction and annotate a reaction as "Forward (f)", "Reverse (b)" or "Equivalent (e)". The inherent computational complexity (NP-hard) per iteration suggests that a suitable value for the number of reactions is around 20. Three functions comprise ReDirection. These are check_matrix() and reaction_vector() which are internal, and calculate_reaction_vector() which is external.
Author: Siddhartha Kundu <2021: Manuscript Under Preparation>
Maintainer: Siddhartha Kundu <siddhartha_kundu@aiims.edu>

Diff between ReDirection versions 1.0.0 dated 2021-09-29 and 1.0.1 dated 2021-10-04

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Package PTXQC updated to version 1.0.11 with previous version 1.0.10 dated 2021-06-02

Title: Quality Report Generation for MaxQuant and mzTab Results
Description: Generates Proteomics (PTX) quality control (QC) reports for shotgun LC-MS data analyzed with the MaxQuant software suite (from .txt files) or mzTab files (ideally from OpenMS 'QualityControl' tool). Reports are customizable (target thresholds, subsetting) and available in HTML or PDF format. Published in J. Proteome Res., Proteomics Quality Control: Quality Control Software for MaxQuant Results (2015) <doi:10.1021/acs.jproteome.5b00780>.
Author: Chris Bielow [aut, cre], Juliane Schmachtenberg [ctb], Swenja Wagner [ctb], Patricia Scheil [ctb], Tom Waschischek [ctb], Guido Mastrobuoni [dtc, rev]
Maintainer: Chris Bielow <chris.bielow@bsc.fu-berlin.de>

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New package iSFun with initial version 0.1.0
Package: iSFun
Title: Integrative Dimension Reduction Analysis for Multi-Source Data
Version: 0.1.0
Maintainer: Rui Ren <xmurr@stu.xmu.edu.cn>
Description: An implementation of integrative dimension reduction analysis procedures for multi-source data, which provides integrative sparse partial least squares, integrative sparse principal component analysis, integrative sparse canonical correlation analysis and corresponding meta-analysis versions, etc. The work is built and improved upon the references: (1) Fang, K., Fan, X., Zhang, Q., and Ma, S. (2018). "Integrative sparse principal component analysis." Journal of Multivariate Analysis, <doi:10.1016/j.jmva.2018.02.002>. (2) Liang, W., Ma, S., Zhang, Q., and Zhu, T. (2021). "Integrative sparse partial least squares." Statistics in Medicine, <doi:10.1002/sim.8900>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: caret, graphics, grDevices, irlba, stats
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-10-03 02:50:12 UTC; renrui
Author: Kuangnan Fang [aut], Rui Ren [aut, cre], Qingzhao Zhang [aut], Shuangge Ma [aut]
Repository: CRAN
Date/Publication: 2021-10-04 08:30:06 UTC

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New package gsbDesign with initial version 1.0-2
Package: gsbDesign
Version: 1.0-2
Date: 2021-10-02
Title: Group Sequential Bayes Design
Depends: gsDesign, lattice, grid,
Imports: stats, graphics, grDevices, utils
Description: Group Sequential Operating Characteristics for Clinical, Bayesian two-arm Trials with known Sigma and Normal Endpoints, as described in Gerber and Gsponer (2016) <doi: 10.18637/jss.v069.i11>.
License: GPL-3
LazyLoad: yes
NeedsCompilation: no
Packaged: 2021-10-02 12:17:47 UTC; bjoern
Repository: CRAN
Date/Publication: 2021-10-04 08:20:05 UTC
Author: Florian Gerber [aut], Thomas Gsponer [aut], Bjoern Bornkamp [cre] (maintainer)
Maintainer: Bjoern Bornkamp <bbnkmp@mail.de>

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New package ForestGapR with initial version 0.1.6
Package: ForestGapR
Title: Tropical Forest Canopy Gaps Analysis
Version: 0.1.6
Depends: R (>= 3.4.0)
Imports: raster, igraph, VGAM, sp, graphics, stats, viridis, rgeos, spatstat.core, spatstat.geom, poweRlaw
Description: Set of tools for detecting and analyzing Airborne Laser Scanning-derived Tropical Forest Canopy Gaps. Details were published in Silva et al. (2019) <doi:10.1111/2041-210X.13211>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Author: Carlos Alberto Silva [aut, cph, cre], Ekena Rangel Pinagé [aut] (Reviews the documentation), Midhun Mohan [aut] (Reviews the documentation), Danilo Roberti Alves de Almeida [aut] (Reviews the documentation), Eben North Broadbent [aut] (Reviews the documentation), Wan Shafrina Wan Mohd Jaafar [aut] (Reviews the documentation), Daniel de Almeida Papa [aut] (Reviews the documentation), Adrian Cardil [aut] (Reviews the documentation), Ruben Valbuena [cph, aut], Toby Jackson [aut], Caio Hamamura [aut] (Maintenance and review), Carine Klauberg [aut] (Reviews the documentation)
Maintainer: Carlos Alberto Silva <carlos_engflorestal@outlook.com>
Repository: CRAN
Repository/R-Forge/Project: forestgapr
Repository/R-Forge/Revision: 22
Repository/R-Forge/DateTimeStamp: 2021-10-02 18:18:11
Date/Publication: 2021-10-04 08:30:17 UTC
NeedsCompilation: no
Packaged: 2021-10-02 18:28:06 UTC; rforge

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Package CytobankAPI updated to version 1.4.0 with previous version 1.3.0 dated 2018-11-23

Title: Cytobank API Wrapper for R
Description: Tools to interface with Cytobank's API via R, organized by various endpoints that represent various areas of Cytobank functionality. Learn more about Cytobank at <https://www.beckman.com/flow-cytometry/software/cytobank-premium>.
Author: Qihao Qi [aut, cre], Stefanie Trop [aut], Louis Liu [aut]
Maintainer: Qihao Qi <qqi@beckman.com>

Diff between CytobankAPI versions 1.3.0 dated 2018-11-23 and 1.4.0 dated 2021-10-04

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Package sapfluxnetr updated to version 0.1.2 with previous version 0.1.1 dated 2020-08-27

Title: Working with 'Sapfluxnet' Project Data
Description: Access, modify, aggregate and plot data from the 'Sapfluxnet' project (<http://sapfluxnet.creaf.cat>), the first global database of sap flow measurements.
Author: Victor Granda [aut, cre] (<https://orcid.org/0000-0002-0469-1991>), Rafael Poyatos [aut] (<https://orcid.org/0000-0003-0521-2523>), Victor Flo [aut] (<https://orcid.org/0000-0003-1908-4577>), Jacob Nelson [ctb] (<https://orcid.org/0000-0002-4663-2420>), Sapfluxnet Core Team [cph]
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>

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New package rForest with initial version 0.1.4
Package: rForest
Title: Forest Inventory and Analysis
Version: 0.1.4
Depends: R (>= 3.1.2)
Imports: alphashape3d, geometry, rgl, sp
Description: Set of tools designed for forest inventory analysis.
License: GPL (>= 2)
URL: https://github.com/carlos-alberto-silva/rForest
Author: Carlos Alberto Silva [aut, cph, cre], Carine Klauberg [aut] (Reviews the documentation), Samuel P. C. Carvalho [aut], Manoela de O. Rosa [aut], Joao P. S. Madi [aut], Caio Hamamura [aut] (Maintenance and review)
Maintainer: Carlos Alberto Silva <carlos_engflorestal@outlook.com>
Repository: CRAN
Repository/R-Forge/Project: rforest
Repository/R-Forge/Revision: 15
Repository/R-Forge/DateTimeStamp: 2021-10-02 04:21:10
Date/Publication: 2021-10-04 08:00:02 UTC
NeedsCompilation: no
Packaged: 2021-10-02 04:28:54 UTC; rforge

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Package LRQMM updated to version 1.2.3 with previous version 1.2.2 dated 2020-08-02

Title: Fitting Linear Quantile Regression Mixed Models with Relationship Matrix
Description: Fit a quantile regression mixed model involved Relationship Matrix using a sparse implementation of the Frisch-Newton interior-point algorithm as described in Portnoy and Koenker (1977, Statistical Science) <https://www.jstor.org/stable/2246216>.
Author: Sayyed Reza Alavian[aut,cre] Majid Sarmad[ths] Mehdi Jabbari Nooghabi[ths] Hani Rezaee[ctb] Saeed Zerehdaran[ctb] Ferdowsi University Of Mashhad [cph]
Maintainer: Sayyed Reza Alavian <s.rezaalavian@mail.um.ac.ir>

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Package effectsize updated to version 0.5 with previous version 0.4.5 dated 2021-05-25

Title: Indices of Effect Size and Standardized Parameters
Description: Provide utilities to work with indices of effect size and standardized parameters for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc.
Author: Mattan S. Ben-Shachar [aut, cre] (<https://orcid.org/0000-0002-4287-4801>, @mattansb), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Ken Kelley [ctb], David Stanley [ctb], Jessica Burnett [rev] (<https://orcid.org/0000-0002-0896-5099>), Johannes Karreth [rev] (<https://orcid.org/0000-0003-4586-7153>)
Maintainer: Mattan S. Ben-Shachar <matanshm@post.bgu.ac.il>

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Package DRomics updated to version 2.3-0 with previous version 2.2-0 dated 2021-02-09

Title: Dose Response for Omics
Description: Several functions are provided for dose-response (or concentration-response) characterization from omics data. 'DRomics' is especially dedicated to omics data obtained using a typical dose-response design, favoring a great number of tested doses (or concentrations) rather than a great number of replicates (no need of replicates). 'DRomics' provides functions 1) to check, normalize and or transform data, 2) to select monotonic or biphasic significantly responding items (e.g. probes, metabolites), 3) to choose the best-fit model among a predefined family of monotonic and biphasic models to describe each selected item, 4) to derive a benchmark dose or concentration and a typology of response from each fitted curve. In the available version data are supposed to be single-channel microarray data in log2, RNAseq data in raw counts, or already pretreated continuous omics data (such as metabolomic data) in log scale. In order to link responses across biological levels based on a common method, 'DRomics' also handles apical data as long as they are continuous and follow a normal distribution for each dose or concentration, with a common standard error. For further details see Larras et al (2018) <DOI:10.1021/acs.est.8b04752> at <https://hal.archives-ouvertes.fr/hal-02309919>.
Author: Marie-Laure Delignette-Muller [aut], Elise Billoir [aut], Floriane Larras [ctb], Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package datawizard updated to version 0.2.1 with previous version 0.2.0.1 dated 2021-09-02

Title: Easy Data Wrangling
Description: A lightweight package to easily manipulate, clean, transform, and prepare your data for analysis. It also forms the data wrangling backend for the packages in the 'easystats' ecosystem.
Author: Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Indrajeet Patil [aut, cre] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Brenton M. Wiernik [aut] (<https://orcid.org/0000-0001-9560-6336>, @bmwiernik)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package colourpicker updated to version 1.1.1 with previous version 1.1.0 dated 2020-09-14

Title: A Colour Picker Tool for Shiny and for Selecting Colours in Plots
Description: A colour picker that can be used as an input in 'Shiny' apps or Rmarkdown documents. The colour picker supports alpha opacity, custom colour palettes, and many more options. A Plot Colour Helper tool is available as an 'RStudio' Addin, which helps you pick colours to use in your plots. A more generic Colour Picker 'RStudio' Addin is also provided to let you select colours to use in your R code.
Author: Dean Attali [aut, cre] (<https://orcid.org/0000-0002-5645-3493>), David Griswold [ctb]
Maintainer: Dean Attali <daattali@gmail.com>

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Package rrefine updated to version 1.1.2 with previous version 1.1.1 dated 2021-09-03

Title: r Client for OpenRefine API
Description: 'OpenRefine' (formerly 'Google Refine') is a popular, open source data cleaning software. This package enables users to programmatically trigger data transfer between R and 'OpenRefine'. Available functionality includes project import, export and deletion.
Author: VP Nagraj [aut, cre]
Maintainer: VP Nagraj <nagraj@nagraj.net>

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Package Rcatch22 updated to version 0.1.13 with previous version 0.1.12 dated 2021-05-31

Title: Calculation of 22 CAnonical Time-Series CHaracteristics
Description: Calculate 22 summary statistics coded in C on time-series vectors to enable pattern detection, classification, and regression applications in the feature space as proposed by Lubba et al. (2019) <doi:10.1007/s10618-019-00647-x>.
Author: Trent Henderson [cre, aut], Carl Lubba [ctb]
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>

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Package glmtoolbox updated to version 0.1.2 with previous version 0.1.1 dated 2021-06-09

Title: Set of Tools to Data Analysis using Generalized Linear Models
Description: Set of tools to the statistical analysis of data using: (1) normal linear models; (2) generalized linear models; (3) negative binomial regression models as alternative to the Poisson regression models under the presence of overdispersion; (4) beta-binomial regression models as alternative to the binomial regression models under the presence of overdispersion; (5) generalized estimating equations for cluster correlated data.
Author: Luis Hernando Vanegas [aut, cre], Luz Marina Rondón [aut], Gilberto A. Paula [aut]
Maintainer: Luis Hernando Vanegas <lhvanegasp@unal.edu.co>

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