Thu, 07 Jan 2021

Package stplanr updated to version 0.8.1 with previous version 0.8.0 dated 2020-10-28

Title: Sustainable Transport Planning
Description: Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. Enables common transport planning tasks including: downloading and cleaning transport datasets; creating geographic "desire lines" from origin-destination (OD) data; route assignment, locally and via interfaces to routing services such as <https://cyclestreets.net/> and calculation of route segment attributes such as bearing. The package implements the 'travel flow aggregration' method described in Morgan and Lovelace (2020) <doi:10.1177/2399808320942779>. Further information on the package's aim and scope can be found in the vignettes and in a paper in the R Journal (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053>.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Richard Ellison [aut], Malcolm Morgan [aut] (<https://orcid.org/0000-0002-9488-9183>), Barry Rowlingson [ctb], Nick Bearman [ctb], Nikolai Berkoff [ctb], Scott Chamberlain [rev] (Scott reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/10), Mark Padgham [ctb], Andrea Gilardi [ctb] (<https://orcid.org/0000-0002-9424-7439>)
Maintainer: Robin Lovelace <rob00x@gmail.com>

Diff between stplanr versions 0.8.0 dated 2020-10-28 and 0.8.1 dated 2021-01-07

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Package robmixglm updated to version 1.2-1 with previous version 1.2-0 dated 2020-08-26

Title: Robust Generalized Linear Models (GLM) using Mixtures
Description: Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) <doi:10.1080/02664763.2017.1414164>. This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.
Author: Ken Beath [aut, cre]
Maintainer: Ken Beath <ken.beath@mq.edu.au>

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Package rnoaa updated to version 1.3.0 with previous version 1.2.0 dated 2020-10-06

Title: 'NOAA' Weather Data from R
Description: Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Brooke Anderson [ctb], Maëlle Salmon [ctb], Adam Erickson [ctb], Nicholas Potter [ctb], Joseph Stachelek [ctb], Alex Simmons [ctb], Karthik Ram [ctb], Hart Edmund [ctb], rOpenSci [fnd] (https://ropensci.org)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package PostcodesioR updated to version 0.3.0 with previous version 0.1.1 dated 2019-08-24

Title: API Wrapper Around 'Postcodes.io'
Description: Free UK geocoding using data from Office for National Statistics. It is using several functions to get information about post codes, outward codes, reverse geocoding, nearest post codes/outward codes, validation, or randomly generate a post code. API wrapper around <https://postcodes.io>.
Author: Eryk Walczak [aut, cre] (<https://orcid.org/0000-0001-8724-462X>), Claudia Vitolo [rev] (<https://orcid.org/0000-0002-4252-1176>), Robin Lovelace [rev] (<https://orcid.org/0000-0001-5679-6536>)
Maintainer: Eryk Walczak <eryk.j.walczak@gmail.com>

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Package partition updated to version 0.1.3 with previous version 0.1.2 dated 2020-05-24

Title: Agglomerative Partitioning Framework for Dimension Reduction
Description: A fast and flexible framework for agglomerative partitioning. 'partition' uses an approach called Direct-Measure-Reduce to create new variables that maintain the user-specified minimum level of information. Each reduced variable is also interpretable: the original variables map to one and only one variable in the reduced data set. 'partition' is flexible, as well: how variables are selected to reduce, how information loss is measured, and the way data is reduced can all be customized. 'partition' is based on the Partition framework discussed in Millstein et al. (2020) <doi: 10.1093/bioinformatics/btz661>.
Author: Joshua Millstein [aut], Malcolm Barrett [aut, cre] (<https://orcid.org/0000-0003-0299-5825>)
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>

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Package noise updated to version 1.0.1 with previous version 1.0 dated 2016-07-28

Title: Estimation of Intrinsic and Extrinsic Noise from Single-Cell Data
Description: Functions to calculate estimates of intrinsic and extrinsic noise from the two-reporter single-cell experiment, as in Elowitz, M. B., A. J. Levine, E. D. Siggia, and P. S. Swain (2002) Stochastic gene expression in a single cell. Science, 297, 1183-1186. Functions implement multiple estimators developed for unbiasedness or min Mean Squared Error (MSE) in Fu, A. Q. and Pachter, L. (2016). Estimating intrinsic and extrinsic noise from single-cell gene expression measurements. Statistical Applications in Genetics and Molecular Biology, 15(6), 447-471.
Author: Audrey Qiuyan Fu and Lior Pachter
Maintainer: Audrey Q. Fu <audreyqyfu@gmail.com>

Diff between noise versions 1.0 dated 2016-07-28 and 1.0.1 dated 2021-01-07

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Package jtools updated to version 2.1.2 with previous version 2.1.1 dated 2020-11-16

Title: Analysis and Presentation of Social Scientific Data
Description: This is a collection of tools that the author (Jacob) has written for the purpose of more efficiently understanding and sharing the results of (primarily) regression analyses. There are also a number of miscellaneous functions for statistical and programming purposes. Just about everything supports models from the survey package.
Author: Jacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)
Maintainer: Jacob A. Long <jacob.long@sc.edu>

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Package GRPtests updated to version 0.1.1 with previous version 0.1.0 dated 2019-10-11

Title: Goodness-of-Fit Tests in High-Dimensional GLMs
Description: Methodology for testing nonlinearity in the conditional mean function in low- or high-dimensional generalized linear models, and the significance of (potentially large) groups of predictors. Details on the algorithms can be found in the paper by Jankova, Shah, Buehlmann and Samworth (2019) <arXiv:1908.03606>.
Author: Jana Jankova [aut, cre], Rajen Shah [aut], Peter Buehlmann [aut], Richard Samworth [aut]
Maintainer: Jana Jankova <jana.jankova@gmail.com>

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Package qtl updated to version 1.47-9 with previous version 1.46-2 dated 2020-03-11

Title: Tools for Analyzing QTL Experiments
Description: Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits. Broman et al. (2003) <doi:10.1093/bioinformatics/btg112>.
Author: Karl W Broman <broman@wisc.edu> and Hao Wu, with ideas from Gary Churchill and Saunak Sen and contributions from Danny Arends, Robert Corty, Timothee Flutre, Ritsert Jansen, Pjotr Prins, Lars Ronnegard, Rohan Shah, Laura Shannon, Quoc Tran, Aaron Wolen, Brian Yandell, and R Core Team
Maintainer: Karl W Broman <broman@wisc.edu>

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Package DRDID updated to version 1.0.1 with previous version 1.0.0 dated 2020-05-18

Title: Doubly Robust Difference-in-Differences Estimators
Description: Implements the locally efficient doubly robust difference-in-differences (DiD) estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>. The estimator combines inverse probability weighting and outcome regression estimators (also implemented in the package) to form estimators with more attractive statistical properties. Two different estimation methods can be used to estimate the nuisance functions.
Author: Pedro H. C. Sant'Anna [aut, cre], Jun Zhao [aut]
Maintainer: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>

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Package difNLR updated to version 1.3.7 with previous version 1.3.5 dated 2020-08-24

Title: DIF and DDF Detection by Non-Linear Regression Models
Description: Detection of differential item functioning (DIF) among dichotomously scored items and differential distractor functioning (DDF) among unscored items with non-linear regression procedures based on generalized logistic regression models (Drabinova & Martinkova, 2017, <doi:10.1111/jedm.12158>).
Author: Adela Hladka [aut, cre], Patricia Martinkova [aut], Karel Zvara [ctb]
Maintainer: Adela Hladka <hladka@cs.cas.cz>

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Package swfscDAS updated to version 0.5.0 with previous version 0.4.0 dated 2020-06-30

Title: Southwest Fisheries Science Center Shipboard DAS Data Processing
Description: Process and summarize shipboard 'DAS' <https://swfsc-publications.fisheries.noaa.gov/publications/TM/SWFSC/NOAA-TM-NMFS-SWFSC-305.PDF> data produced by the Southwest Fisheries Science Center (SWFSC) program 'WinCruz' <https://www.fisheries.noaa.gov/west-coast/science-data/california-current-marine-mammal-assessment-program>. This package standardizes and streamlines basic DAS data processing, and includes a PDF with the DAS data format requirements.
Author: Sam Woodman [aut, cre] (<https://orcid.org/0000-0001-6071-8186>)
Maintainer: Sam Woodman <sam.woodman@noaa.gov>

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Package spatstat.utils updated to version 1.20-2 with previous version 1.17-0 dated 2020-02-07

Title: Utility Functions for 'spatstat'
Description: Contains utility functions for the 'spatstat' package which may also be useful for other purposes.
Author: Adrian Baddeley [aut, cre] (<https://orcid.org/0000-0001-9499-8382>), Rolf Turner [aut] (<https://orcid.org/0000-0001-5521-5218>), Ege Rubak [aut] (<https://orcid.org/0000-0002-6675-533X>)
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package SpaDES.core updated to version 1.0.5 with previous version 1.0.3 dated 2020-09-12

Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
Description: Provides the core framework for a discrete event system (DES) to implement a complete data-to-decisions, reproducible workflow. The core DES components facilitate modularity, and easily enable the user to include additional functionality by running user-built modules. Includes conditional scheduling, restart after interruption, packaging of reusable modules, tools for developing arbitrary automated workflows, automated interweaving of modules of different temporal resolution, and tools for visualizing and understanding the DES project.
Author: Alex M Chubaty [aut, cre] (<https://orcid.org/0000-0001-7146-8135>), Eliot J B McIntire [aut] (<https://orcid.org/0000-0002-6914-8316>), Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] (<https://orcid.org/0000-0003-4036-977X>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <alex.chubaty@gmail.com>

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Package nimbleSCR updated to version 0.1.1 with previous version 0.1.0 dated 2020-08-20

Title: Spatial Capture-Recapture (SCR) Methods Using 'nimble'
Description: Provides utility functions, distributions, and methods for improving Markov chain Monte Carlo (MCMC) sampling efficiency for ecological Spatial Capture-Recapture (SCR) and Open Population Spatial Capture-Recapture (OPSCR) models. The methods provided implement the techniques presented in "Estimation of Large-Scale Spatial Capture-Recapture Models" (Turek, et al (2020) <doi:10.1101/2020.05.07.081182>).
Author: Richard Bischof [aut], Daniel Turek [aut, cre], Cyril Milleret [aut], Torbjørn Ergon [aut], Pierre Dupont [aut], Perry de Valpine [aut]
Maintainer: Daniel Turek <danielturek@gmail.com>

Diff between nimbleSCR versions 0.1.0 dated 2020-08-20 and 0.1.1 dated 2021-01-07

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Package MSCquartets updated to version 1.1.0 with previous version 1.0.5 dated 2019-12-16

Title: Analyzing Gene Tree Quartets under the Multi-Species Coalescent
Description: Methods for analyzing and using quartets displayed on a collection of gene trees, primarily to make inferences about the species tree or network under the multi-species coalescent model. These include quartet hypothesis tests for the model, as developed by Mitchell et al. (2019) <doi:10.1214/19-EJS1576>, simplex plots of quartet concordance factors as presented by Allman et al. (2020) <doi:10.1101/2020.02.13.948083>, species tree inference methods based on quartet distances of Rhodes (2019) <doi:10.1109/TCBB.2019.2917204> and Yourdkhani and Rhodes (2019) <doi:10.1007/s11538-020-00773-4>, and the NANUQ algorithm for inference of level-1 species networks of Allman et al. (2019) <doi:10.1186/s13015-019-0159-2>. Software announcement by Rhodes et al. (2020) <doi:10.1093/bioinformatics/btaa868>.
Author: Elizabeth Allman [aut], Hector Banos [aut], Jonathan Mitchell [aut], John Rhodes [aut, cre] (<https://orcid.org/0000-0001-9921-1091>)
Maintainer: John Rhodes <j.rhodes@alaska.edu>

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Package IndexNumber updated to version 1.3 with previous version 1.2 dated 2020-06-04

Title: Index Numbers in Social Sciences
Description: We provide an R tool for teaching in Social Sciences. It allows the computation of index numbers. It is a measure of the evolution of a fixed magnitude for only a product of for several products. It is very useful in Social Sciences. Among others, we obtain simple index numbers (in chain or in serie), index numbers for not only a product or weighted index numbers as the Laspeyres index (Laspeyres, 1864), the Paasche index (Paasche, 1874) or the Fisher index (Lapedes, 1978).
Author: Alejandro Saavedra-Nieves, Paula Saavedra-Nieves
Maintainer: Alejandro Saavedra-Nieves <alejandro.saavedra.nieves@gmail.com>

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Package formattable updated to version 0.2.1 with previous version 0.2.0.1 dated 2016-08-05

Title: Create 'Formattable' Data Structures
Description: Provides functions to create formattable vectors and data frames. 'Formattable' vectors are printed with text formatting, and formattable data frames are printed with multiple types of formatting in HTML to improve the readability of data presented in tabular form rendered in web pages.
Author: Kun Ren [aut, cre], Kenton Russell [aut]
Maintainer: Kun Ren <ken@renkun.me>

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Package BRISC updated to version 1.0.0 with previous version 0.2.0 dated 2019-08-19

Title: Fast Inference for Large Spatial Datasets using BRISC
Description: Fits bootstrap with univariate spatial regression models using Bootstrap for Rapid Inference on Spatial Covariances (BRISC) for large datasets using nearest neighbor Gaussian processes detailed in Saha and Datta (2018) <doi:10.1002/sta4.184>.
Author: Arkajyoti Saha [aut, cre], Abhirup Datta [aut], Jorge Nocedal [ctb], Naoaki Okazaki [ctb]
Maintainer: Arkajyoti Saha <arkajyotisaha93@gmail.com>

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Package scdhlm updated to version 0.5.2 with previous version 0.5.1 dated 2020-11-30

Title: Estimating Hierarchical Linear Models for Single-Case Designs
Description: Provides a set of tools for estimating hierarchical linear models and effect sizes based on data from single-case designs. Functions are provided for calculating standardized mean difference effect sizes that are directly comparable to standardized mean differences estimated from between-subjects randomized experiments, as described in Hedges, Pustejovsky, and Shadish (2012) <DOI:10.1002/jrsm.1052>; Hedges, Pustejovsky, and Shadish (2013) <DOI:10.1002/jrsm.1086>; and Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>. Includes an interactive web interface.
Author: James Pustejovsky [aut, cre], Man Chen [aut], Bethany Hamilton [aut]
Maintainer: James Pustejovsky <jepusto@gmail.com>

Diff between scdhlm versions 0.5.1 dated 2020-11-30 and 0.5.2 dated 2021-01-07

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 man/AlberMorgan.Rd                                                   |    2 
 man/Anglesea.Rd                                                      |    4 
 man/BartonArwood.Rd                                                  |    2 
 man/Bryant2018.Rd                                                    |    2 
 man/Lambert.Rd                                                       |    2 
 man/Laski.Rd                                                         |    2 
 man/MB1results.Rd                                                    |    2 
 man/MB2results.Rd                                                    |    2 
 man/MB4results.Rd                                                    |    2 
 man/Rodriguez.Rd                                                     |    2 
 man/Romaniuk.Rd                                                      |    3 
 man/Ruiz.Rd                                                          |    2 
 man/Saddler.Rd                                                       |    4 
 man/Salazar.Rd                                                       |    2 
 man/Schutte.Rd                                                       |    4 
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 man/g_REML.Rd                                                        |    2 
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 man/simulate_MB2.Rd                                                  |    2 
 man/simulate_MB4.Rd                                                  |    2 
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New package Rcurvep with initial version 1.2.0
Package: Rcurvep
Type: Package
Title: Concentration-Response Data Analysis using Curvep
Version: 1.2.0
Authors@R: c(person("Jui-Hua", "Hsieh", email = "juihua.hsieh@gmail.com", role = c("aut", "cre")), person("Alexander", "Sedykh", email = "sunirks@gmail.com", role = c("aut")))
Description: Provide an R interface for processing concentration-response datasets using Curvep, a response noise filtering algorithm. The algorithm was described in the publications (Sedykh A et al. (2011) <doi:10.1289/ehp.1002476> and Sedykh A (2016) <doi:10.1007/978-1-4939-6346-1_14>). Other parametric fitting approaches (e.g., Hill equation) are also adopted for ease of comparison. Also, methods for calculating the confidence interval around the activity metrics are also provided. The methods are based on the bootstrap approach to simulate the datasets (Hsieh J-H et al. <doi:10.1093/toxsci/kfy258>). The simulated datasets can be used to derive the baseline noise threshold in an assay endpoint. This threshold is critical in the toxicological studies to derive the point-of-departure (POD).
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 0.7), tibble, magrittr, tidyselect, boot, tidyr, purrr, rlang, stringr, ggplot2, Rdpack, methods
RdMacros: Rdpack
Suggests: testthat, knitr, rmarkdown, tcpl
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2020-12-17 21:41:01 UTC; hsiehj2
Author: Jui-Hua Hsieh [aut, cre], Alexander Sedykh [aut]
Maintainer: Jui-Hua Hsieh <juihua.hsieh@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-07 19:10:02 UTC

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Package pubmed.mineR updated to version 1.0.17 with previous version 1.0.16 dated 2019-07-23

Title: Text Mining of PubMed Abstracts
Description: Text mining of PubMed Abstracts (text and XML) from <https://pubmed.ncbi.nlm.nih.gov/>.
Author: Jyoti Rani, S.Ramachandran, Ab Rauf Shah
Maintainer: S. Ramachandran <ramuigib@gmail.com>

Diff between pubmed.mineR versions 1.0.16 dated 2019-07-23 and 1.0.17 dated 2021-01-07

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New package peopleanalyticsdata with initial version 0.1.0
Package: peopleanalyticsdata
Title: Data Sets for Keith McNulty's Handbook of Regression Modeling in People Analytics
Version: 0.1.0
Authors@R: c(person(given = "Keith", family = "McNulty", role = c("aut", "cre"), email = "keith.mcnulty@gmail.com", comment = c(ORCID = "0000-0002-2332-1654")))
Description: Data sets for statistical inference modeling related to People Analytics. Contains eleven data sets from the book "Handbook of Regression Modeling in People Analytics" by Keith McNulty (2020).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: http://peopleanalytics-regression-book.org
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-01-05 19:24:48 UTC; rstudio
Author: Keith McNulty [aut, cre] (<https://orcid.org/0000-0002-2332-1654>)
Maintainer: Keith McNulty <keith.mcnulty@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-07 19:40:03 UTC

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Package sen2r updated to version 1.4.0 with previous version 1.3.9 dated 2020-10-14

Title: Find, Download and Process Sentinel-2 Data
Description: Functions to download Sentinel-2 optical images and perform preliminary processing operations. 'sen2r' provides the instruments required to easily perform (and eventually automate) the steps necessary to build a complete Sentinel-2 processing chain. A Graphical User Interface to facilitate data processing is also provided. For additional documentation refer to the following article: Ranghetti et al. (2020) <doi:10.1016/j.cageo.2020.104473>.
Author: Luigi Ranghetti [aut, cre] (<https://orcid.org/0000-0001-6207-5188>), Lorenzo Busetto [aut] (<https://orcid.org/0000-0001-9634-6038>)
Maintainer: Luigi Ranghetti <luigi@ranghetti.info>

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Package renv updated to version 0.12.4 with previous version 0.12.3 dated 2020-11-25

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre], RStudio [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package pmc updated to version 1.0.4 with previous version 1.0.3 dated 2018-05-17

Title: Phylogenetic Monte Carlo
Description: Monte Carlo based model choice for applied phylogenetics of continuous traits. Method described in Carl Boettiger, Graham Coop, Peter Ralph (2012) Is your phylogeny informative? Measuring the power of comparative methods, Evolution 66 (7) 2240-51. <doi:10.1111/j.1558-5646.2011.01574.x>.
Author: Carl Boettiger [aut, cre]
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Package modelStudio updated to version 2.1.1 with previous version 2.1.0 dated 2020-11-22

Title: Interactive Studio for Explanatory Model Analysis
Description: Automate the explanatory analysis of machine learning predictive models. Generate advanced interactive model explanations in the form of a serverless HTML site with only one line of code. This tool is model agnostic, therefore compatible with most of the black box predictive models and frameworks. The main function computes various (instance and dataset level) model explanations and produces a customisable dashboard, which consists of multiple panels for plots with their short descriptions. Easily save the dashboard and share it with others. Tools for Explanatory Model Analysis unite with tools for Exploratory Data Analysis to give a broad overview of the model behavior.
Author: Hubert Baniecki [aut, cre] (<https://orcid.org/0000-0001-6661-5364>), Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>), Piotr Piatyszek [ctb]
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Package MCMCglmm updated to version 2.30 with previous version 2.29 dated 2019-04-24

Title: MCMC Generalised Linear Mixed Models
Description: Fits Multi-response Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques.
Author: Jarrod Hadfield
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Package FSelector updated to version 0.32 with previous version 0.31 dated 2018-05-16

Title: Selecting Attributes
Description: Functions for selecting attributes from a given dataset. Attribute subset selection is the process of identifying and removing as much of the irrelevant and redundant information as possible.
Author: Piotr Romanski, Lars Kotthoff
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Package excelstrippr updated to version 0.1.2 with previous version 0.1.1 dated 2021-01-05

Title: Extracts Tabular Data from Excel Reports
Description: Removes metadata and summary formatting from Excel reports, so that data from those reports can more easily be loaded into R. Currently works with .xlsx and .xls format files.
Author: Christopher Burch [aut, cre] (<https://orcid.org/0000-0001-6934-3325>)
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Package envi updated to version 0.1.6 with previous version 0.1.3 dated 2020-12-21

Title: Environmental Interpolation using Spatial Kernel Density Estimation
Description: Estimates an ecological niche using occurrence data, covariates, and kernel density-based estimation methods. For a single species with presence and absence data, the 'envi' package uses the spatial relative risk function that is estimated using the 'sparr' package. Details about the 'sparr' package methods can be found in the tutorial: Davies et al. (2018) <doi:10.1002/sim.7577>. Details about kernel density estimation can be found in J. F. Bithell (1990) <doi:10.1002/sim.4780090616>. More information about relative risk functions using kernel density estimation can be found in J. F. Bithell (1991) <doi:10.1002/sim.4780101112>.
Author: Ian D. Buller [aut, cre, cph] (<https://orcid.org/0000-0001-9477-8582>), Lance A. Waller [ctb, ths] (<https://orcid.org/0000-0001-5002-8886>), Emory University [cph]
Maintainer: Ian D. Buller <ian.buller@alumni.emory.edu>

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Package BioInsight updated to version 0.2.0 with previous version 0.1.0 dated 2020-08-17

Title: Filter and Plot RNA Biotypes
Description: Analyze and plot the abundance of different RNA biotypes present in a count matrix, this evaluation can be useful if you want to test different strategies of normalization or analyze a particular biotype in a differential gene expression analysis.
Author: Luiz Antonio de Jesus Rocha [aut, cre, cph]
Maintainer: Luiz Antonio de Jesus Rocha <luiz.rocha@unifesp.br>

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Package alfred updated to version 0.1.10 with previous version 0.1.9 dated 2021-01-04

Title: Downloading Time Series from ALFRED Database for Various Vintages
Description: Provides direct access to the ALFRED (<https://alfred.stlouisfed.org>) and FRED (<https://fred.stlouisfed.org>) databases. Its functions return tidy data frames for different releases of the specified time series. Note that this product uses the FRED© API but is not endorsed or certified by the Federal Reserve Bank of St. Louis.
Author: Onno Kleen [aut, cre] (<https://orcid.org/0000-0003-4731-4640>)
Maintainer: Onno Kleen <r@onnokleen.de>

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Package wyz.code.metaTesting updated to version 1.1.20 with previous version 1.1.12 dated 2020-04-22

Title: Wizardry Code Meta Testing
Description: Meta testing is the ability to test a function without having to provide its parameter values. Those values will be generated, based on semantic naming of parameters, as introduced by package 'wyz.code.offensiveProgramming'. Value generation logic can be completed with your own data types and generation schemes. This to meet your most specific requirements and to answer to a wide variety of usages, from general use case to very specific ones. While using meta testing, it becomes easier to generate stress test campaigns, non-regression test campaigns and robustness test campaigns, as generated tests can be saved and reused from session to session. Main benefits of using 'wyz.code.metaTesting' is ability to discover valid and invalid function parameter combinations, ability to infer valid parameter values, and to provide smart summaries that allows you to focus on dysfunctional cases.
Author: Fabien Gelineau <neonira@gmail.com>
Maintainer: Fabien Gelineau <neonira@gmail.com>

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Package wellknown updated to version 0.7.2 with previous version 0.7.0 dated 2020-10-20

Title: Convert Between 'WKT' and 'GeoJSON'
Description: Convert 'WKT' to 'GeoJSON' and 'GeoJSON' to 'WKT'. Functions included for converting between 'GeoJSON' to 'WKT', creating both 'GeoJSON' features, and non-features, creating 'WKT' from R objects (e.g., lists, data.frames, vectors), and linting 'WKT'.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Os Keyes [aut] (author of code in src/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package gateR updated to version 0.1.6 with previous version 0.1.4 dated 2020-11-30

Title: Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation
Description: Estimates statistically significant marker combination values within which one immunologically distinctive group (i.e., disease case) is more associated than another group (i.e., healthy control), successively, using various combinations (i.e., "gates") of markers to examine features of cells that may be different between groups. For a two-group comparison, the 'gateR' package uses the spatial relative risk function that is estimated using the 'sparr' package. Details about the 'sparr' package methods can be found in the tutorial: Davies et al. (2018) <doi:10.1002/sim.7577>. Details about kernel density estimation can be found in J. F. Bithell (1990) <doi:10.1002/sim.4780090616>. More information about relative risk functions using kernel density estimation can be found in J. F. Bithell (1991) <doi:10.1002/sim.4780101112>.
Author: Ian D. Buller [aut, cre, cph] (<https://orcid.org/0000-0001-9477-8582>), Elena Hsieh [ctb] (<https://orcid.org/0000-0003-3969-6597>), Debashis Ghosh [ctb] (<https://orcid.org/0000-0001-6618-1316>), Lance A. Waller [ctb] (<https://orcid.org/0000-0001-5002-8886>), NCI [cph]
Maintainer: Ian D. Buller <ian.buller@nih.gov>

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Package ConcordanceTest updated to version 1.0.0 with previous version 0.1.0 dated 2020-09-28

Title: An Alternative to the Kruskal-Wallis Based on the Kendall Tau Distance
Description: The Concordance Test is a non-parametric method for testing whether two o more samples originate from the same distribution. It extends the Kendall Tau correlation coefficient when there are only two groups. For details, see Monge (2019) <arXiv:1912.12880v1>.
Author: Javier Alcaraz [aut], Laura Anton-Sanchez [aut, cre], Juan Francisco Monge [aut]
Maintainer: Laura Anton-Sanchez <l.anton@umh.es>

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Package varTestnlme updated to version 1.0.0 with previous version 0.2.0 dated 2020-07-07

Title: Variance Components Testing for Linear and Nonlinear Mixed Effects Models
Description: An implementation of the Likelihood ratio Test (LRT) for testing that, in a (non)linear mixed effects model, the variances of a subset of the random effects are equal to zero. There is no restriction on the subset of variances that can be tested: for example, it is possible to test that all the variances are equal to zero. Note that the implemented test is asymptotic. This package should be used on model fits from packages 'nlme', 'lmer', and 'saemix'. Charlotte Baey, Paul-Henry Cournède and Estelle Kuhn (2019) <doi:10.1016/j.csda.2019.01.014>.
Author: Charlotte Baey [aut, cre] (<https://orcid.org/0000-0002-1413-1058>), Estelle Kuhn [aut]
Maintainer: Charlotte Baey <charlotte.baey@univ-lille.fr>

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New package VARMER with initial version 0.1.0
Package: VARMER
Type: Package
Title: Variational Merging
Version: 0.1.0
Maintainer: Leandro Robaina <rm537lra@gmail.com>
Authors@R: c(person(given = "Jacinto", family = "Ulloa", role = "aut"), person(given = "Esteban", family = "Samaniego", role = "aut"), person(given = "Lenin", family = "Campozano", role = "aut"), person(given = "Daniela", family = "Ballari", role = "aut"), person(given = "Leandro", family = "Robaina", role = "cre", email = "rm537lra@gmail.com"))
Author: Jacinto Ulloa [aut], Esteban Samaniego [aut], Lenin Campozano [aut], Daniela Ballari [aut], Leandro Robaina [cre]
Description: A new mathematical formulation to merge observed data with gridded images of environmental variables using partial differential equations in a variational setting. The original method was created, developed and published by Ulloa, Samaniego, Campozano and Ballari (2018) <doi:10.1002/2017JD027982>.
License: CC0
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: raster, pracma, rgl, deldir, grDevices
RoxygenNote: 7.1.1
Language: en-US
NeedsCompilation: no
Packaged: 2021-01-05 17:12:38 UTC; Leandro
Repository: CRAN
Date/Publication: 2021-01-07 17:00:03 UTC

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Package statgenGxE updated to version 1.0.4 with previous version 1.0.3 dated 2020-11-09

Title: Genotype by Environment (GxE) Analysis
Description: Analysis of multi environment data of plant breeding experiments following the analyses described in Malosetti, Ribaut, and van Eeuwijk (2013), <doi:10.3389/fphys.2013.00044>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://www.vsni.co.uk/software/asreml-r>).
Author: Bart-Jan van Rossum [aut, cre], Fred van Eeuwijk [ctb] (<https://orcid.org/0000-0003-3672-2921>), Martin Boer [ctb], Marcos Malosetti [ctb] (<https://orcid.org/0000-0002-8150-1397>), Daniela Bustos-Korts [ctb] (<https://orcid.org/0000-0003-3827-6726>), Emilie J Millet [ctb] (<https://orcid.org/0000-0002-2913-4892>), Joao Paulo [ctb] (<https://orcid.org/0000-0002-4180-0763>), Maikel Verouden [ctb] (<https://orcid.org/0000-0002-4893-3323>), Willem Kruijer [ctb] (<https://orcid.org/0000-0001-7179-1733>), Ron Wehrens [ctb] (<https://orcid.org/0000-0002-8798-5599>), Choazhi Zheng [ctb] (<https://orcid.org/0000-0001-6030-3933>)
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package r5r updated to version 0.3-1 with previous version 0.3-0 dated 2021-01-05

Title: Rapid Realistic Routing with 'R5'
Description: Rapid realistic routing on multimodal transport networks (walk, bike, public transport and car) using 'R5', the Rapid Realistic Routing on Real-world and Reimagined networks <https://github.com/conveyal/r5>. The package allows users to generate detailed routing analysis or calculate travel time matrices using seamless parallel computing on top of the R5 Java machine.
Author: Marcus Saraiva [aut] (<https://orcid.org/0000-0001-6218-2338>), Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Daniel Herszenhut [aut] (<https://orcid.org/0000-0001-8066-1105>), Carlos Kaue Vieira Braga [aut] (<https://orcid.org/0000-0002-6104-7297>), Matthew Wigginton Conway [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package ptmixed updated to version 1.0.2 with previous version 1.0.1 dated 2020-10-26

Title: Poisson-Tweedie Generalized Linear Mixed Model
Description: Fits the Poisson-Tweedie generalized linear mixed model described in Signorelli et al. (2020, <doi:10.1177/1471082X20936017>). Likelihood approximation based on adaptive Gauss Hermite quadrature rule.
Author: Mirko Signorelli [aut, cre, cph] (<https://orcid.org/0000-0002-8102-3356>), Pietro Spitali [ctb], Roula Tsonaka [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

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Package prcbench updated to version 0.9.1 with previous version 0.8.2 dated 2020-03-26

Title: Testing Workbench for Precision-Recall Curves
Description: A testing workbench for evaluating precision-recall curves under various conditions.
Author: Takaya Saito [aut, cre], Marc Rehmsmeier [aut]
Maintainer: Takaya Saito <takaya.saito@outlook.com>

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New package PEACH with initial version 0.1.1
Package: PEACH
Title: Pareto Enrichment Analysis for Combining Heterogeneous Datasets
Version: 0.1.1
Author: Jinyan Chan [aut, cre], Jinghua Gu [aut, cre]
Maintainer: Jinyan Chan <Jinyan_Chan@baylor.edu>
Description: A meta gene set analysis tool developed based on principles of Pareto dominance (William B T Mock (2011) <doi:10.1007/978-1-4020-9160-5_341>). It is designed to combine gene set analysis p-values from multiple transcriptome datasets (e.g., microarray and RNA-Seq). The novel Pareto method for p-value combination allows PEACH to properly model heterogeneity and correlation in Omics datasets.
Depends: R (>= 3.5.0),MASS (>= 7.3-50), mnormt (>= 1.5-6), metap (>= 1.3)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-12-19 02:33:05 UTC; jinyanchan
Repository: CRAN
Date/Publication: 2021-01-07 17:00:05 UTC

More information about PEACH at CRAN
Permanent link

Package mcmcensemble updated to version 2.1 with previous version 2.0 dated 2020-10-17

Title: Ensemble Sampler for Affine-Invariant MCMC
Description: Provides ensemble samplers for affine-invariant Monte Carlo Markov Chain, which allow a faster convergence for badly scaled estimation problems. Two samplers are proposed: the 'differential.evolution' sampler from ter Braak and Vrugt (2008) <doi:10.1007/s11222-008-9104-9> and the 'stretch' sampler from Goodman and Weare (2010) <doi:10.2140/camcos.2010.5.65>.
Author: Hugo Gruson [cre, aut, cph] (<https://orcid.org/0000-0002-4094-1476>), Sanda Dejanic [aut, cph], Andreas Scheidegger [aut, cph] (<https://orcid.org/0000-0003-2575-2172>)
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

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Package heatwaveR updated to version 0.4.5 with previous version 0.4.4 dated 2020-06-27

Title: Detect Heatwaves and Cold-Spells
Description: The different methods of defining and detecting extreme events, known as heatwaves or cold-spells in both air and water temperature data are encompassed within this package. These detection algorithms may be used on non-temperature data as well however, this is not catered for explicitly here as no use of this technique in the literature currently exists.
Author: Robert W. Schlegel [aut, cre, ctb] (<https://orcid.org/0000-0002-0705-1287>), Albertus J. Smit [aut, ctb] (<https://orcid.org/0000-0002-3799-6126>)
Maintainer: Robert W. Schlegel <robwschlegel@gmail.com>

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Package FFD updated to version 1.0-8 with previous version 1.0-6 dated 2015-02-24

Title: Freedom from Disease
Description: Functions, S4 classes/methods and a graphical user interface (GUI) to design surveys to substantiate freedom from disease using a modified hypergeometric function (see Cameron and Baldock, 1997, <doi:10.1016/s0167-5877(97)00081-0>). Herd sensitivities are computed according to sampling strategies "individual sampling" or "limited sampling" (see M. Ziller, T. Selhorst, J. Teuffert, M. Kramer and H. Schlueter, 2002, <doi:10.1016/S0167-5877(01)00245-8>). Methods to compute the a-posteriori alpha-error are implemented. Risk-based targeted sampling is supported.
Author: Ian Kopacka
Maintainer: Ian Kopacka <ian.kopacka@ages.at>

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Package eye updated to version 1.0.0 with previous version 0.1.0 dated 2020-06-25

Title: Analysis of Eye Data
Description: There is no ophthalmic researcher who has not had headaches from the handling of visual acuity entries. Different notations, untidy entries. This shall now be a matter of the past. Eye makes it as easy as pie to work with VA data - easy cleaning, easy conversion between Snellen, logMAR, ETDRS letters, and qualitative visual acuity shall never pester you again. The eye package automates the pesky task to count number of patients and eyes, and can help to clean data with easy re-coding for right and left eyes. It also contains functions to help reshaping eye side specific variables between wide and long format. Visual acuity conversion is based on Schulze-Bonsel et al. (2006) <doi:10.1167/iovs.05-0981>, Gregori et al. (2010) <doi:10.1097/iae.0b013e3181d87e04>, Beck et al. (2003) <doi:10.1016/s0002-9394(02)01825-1> and Bach (2007) <http:michaelbach.de/sci/acuity.html>.
Author: Tjebo Heeren [aut, cre] (<https://orcid.org/0000-0001-5297-2301>), Antoine Fabri [ctb]
Maintainer: Tjebo Heeren <tjebo@gmx.de>

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Package EpiEstim updated to version 2.2-4 with previous version 2.2-3 dated 2020-05-29

Title: Estimate Time Varying Reproduction Numbers from Epidemic Curves
Description: Tools to quantify transmissibility throughout an epidemic from the analysis of time series of incidence as described in Cori et al. (2013) <doi:10.1093/aje/kwt133> and Wallinga and Teunis (2004) <doi:10.1093/aje/kwh255>.
Author: Anne Cori [aut, cre] (<https://orcid.org/0000-0002-8443-9162>), Simon Cauchemez [ctb], Neil M. Ferguson [ctb] (<https://orcid.org/0000-0002-1154-8093>), Christophe Fraser [ctb] (<https://orcid.org/0000-0003-2399-9657>), Elisabeth Dahlqwist [ctb] (<https://orcid.org/0000-0001-5797-6803>), P. Alex Demarsh [ctb], Thibaut Jombart [ctb] (<https://orcid.org/0000-0003-2226-8692>), Zhian N. Kamvar [ctb] (<https://orcid.org/0000-0003-1458-7108>), Justin Lessler [ctb] (<https://orcid.org/0000-0002-9741-8109>), Shikun Li [ctb], Jonathan A. Polonsky [ctb] (<https://orcid.org/0000-0002-8634-4255>), Jake Stockwin [ctb], Robin Thompson [ctb] (<https://orcid.org/0000-0001-8545-5212>), Rolina van Gaalen [ctb]
Maintainer: Anne Cori <a.cori@imperial.ac.uk>

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Package dm updated to version 0.1.10 with previous version 0.1.9 dated 2020-11-18

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], energie360° AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package disastr.api updated to version 1.0.3 with previous version 1.0.2 dated 2021-01-06

Title: Wrapper for the UN OCHA ReliefWeb Disaster Events API
Description: Access and manage the application programming interface (API) of the United Nations Office for the Coordination of Humanitarian Affairs' (OCHA) ReliefWeb disaster events at <https://reliefweb.int/disasters/>. The package requires a minimal number of dependencies. It offers functionality to retrieve a user-defined sample of disaster events from ReliefWeb, providing an easy alternative to scraping the ReliefWeb website. It enables a seamless integration of regular data updates into the research work flow.
Author: Christoph Dworschak [aut, cre] (<https://orcid.org/0000-0003-0196-9545>)
Maintainer: Christoph Dworschak <c.dworschak@essex.ac.uk>

Diff between disastr.api versions 1.0.2 dated 2021-01-06 and 1.0.3 dated 2021-01-07

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Package ClimProjDiags updated to version 0.1.1 with previous version 0.1.0 dated 2020-01-21

Title: Set of Tools to Compute Various Climate Indices
Description: Set of tools to compute metrics and indices for climate analysis. The package provides functions to compute extreme indices, evaluate the agreement between models and combine theses models into an ensemble. Multi-model time series of climate indices can be computed either after averaging the 2-D fields from different models provided they share a common grid or by combining time series computed on the model native grid. Indices can be assigned weights and/or combined to construct new indices.
Author: BSC-CNS [aut, cph], Nuria Perez-Zanon [aut, cre] (<https://orcid.org/0000-0001-8568-3071>), Nicolau Manubens [ctb], Alasdair Hunter [aut], Louis-Philippe Caron [ctb]
Maintainer: Nuria Perez-Zanon <nuria.perez@bsc.es>

Diff between ClimProjDiags versions 0.1.0 dated 2020-01-21 and 0.1.1 dated 2021-01-07

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Package bayesmix updated to version 0.7-5 with previous version 0.7-4 dated 2015-07-01

Title: Bayesian Mixture Models with JAGS
Description: Fits finite mixture models of univariate Gaussian distributions using JAGS within a Bayesian framework.
Author: Bettina Gruen [aut, cre] (<https://orcid.org/0000-0001-7265-4773>), Martyn Plummer [ctb] (<https://orcid.org/0000-0001-5130-6497>)
Maintainer: Bettina Gruen <Bettina.Gruen@R-project.org>

Diff between bayesmix versions 0.7-4 dated 2015-07-01 and 0.7-5 dated 2021-01-07

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Package SIMMS updated to version 1.3.1 with previous version 1.3.0 dated 2020-06-05

Title: Subnetwork Integration for Multi-Modal Signatures
Description: Algorithms to create prognostic biomarkers using biological genesets or networks.
Author: Syed Haider [aut, cre], Paul C. Boutros [aut], Michal Grzadkowski [ctb]
Maintainer: Syed Haider <Syed.Haider@icr.ac.uk>

Diff between SIMMS versions 1.3.0 dated 2020-06-05 and 1.3.1 dated 2021-01-07

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Package fabCI updated to version 0.2 with previous version 0.1 dated 2017-01-06

Title: FAB Confidence Intervals
Description: Frequentist assisted by Bayes (FAB) confidence interval construction. See 'Adaptive multigroup confidence intervals with constant coverage' by Yu and Hoff <DOI:10.1093/biomet/asy009> and 'Exact adaptive confidence intervals for linear regression coefficients' by Hoff and Yu <DOI:10.1214/18-EJS1517>.
Author: Peter Hoff and Chaoyu Yu
Maintainer: Peter Hoff <peter.hoff@duke.edu>

Diff between fabCI versions 0.1 dated 2017-01-06 and 0.2 dated 2021-01-07

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New package nbapalettes with initial version 0.1.0
Package: nbapalettes
Title: An NBA Jersey Palette Generator
Description: Palettes generated from NBA jersey colorways.
Date: 2020-12-27
Version: 0.1.0
Authors@R: person(given = "Murray", family = "Josh", role = c("aut", "cre"), email = "joshua.murray@utoronto.ca")
Depends: R (>= 3.0)
License: MIT + file LICENSE
LazyData: true
Imports: dplyr
Suggests: ggplot2
URL: https://github.com/murrayjw/nbapalettes
BugReports: https://github.com/murrayjw/nbapalettes/issues
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-05 15:55:00 UTC; joshu
Author: Murray Josh [aut, cre]
Maintainer: Murray Josh <joshua.murray@utoronto.ca>
Repository: CRAN
Date/Publication: 2021-01-07 14:10:02 UTC

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Package gmp updated to version 0.6-2 with previous version 0.6-1 dated 2020-10-01

Title: Multiple Precision Arithmetic
Description: Multiple Precision Arithmetic (big integers and rationals, prime number tests, matrix computation), "arithmetic without limitations" using the C library GMP (GNU Multiple Precision Arithmetic).
Author: Antoine Lucas, Immanuel Scholz, Rainer Boehme <rb-gmp@reflex-studio.de>, Sylvain Jasson <Sylvain.Jasson@inrae.fr>, Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Antoine Lucas <antoinelucas@gmail.com>

Diff between gmp versions 0.6-1 dated 2020-10-01 and 0.6-2 dated 2021-01-07

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Package genoPlotR updated to version 0.8.11 with previous version 0.8.10 dated 2020-12-10

Title: Plot Publication-Grade Gene and Genome Maps
Description: Draws gene or genome maps and comparisons between these, in a publication-grade manner. Starting from simple, common files, it will draw postscript or PDF files that can be sent as such to journals.
Author: Lionel Guy <lionel.guy@imbim.uu.se>
Maintainer: Lionel Guy <lionel.guy@imbim.uu.se>

Diff between genoPlotR versions 0.8.10 dated 2020-12-10 and 0.8.11 dated 2021-01-07

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Package varSel updated to version 0.2 with previous version 0.1 dated 2016-11-04

Title: Sequential Forward Floating Selection using Jeffries-Matusita Distance
Description: Feature selection using Sequential Forward Floating feature Selection and Jeffries-Matusita distance. It returns a suboptimal set of features to use for image classification. Reference: Dalponte, M., Oerka, H.O., Gobakken, T., Gianelle, D. & Naesset, E. (2013). Tree Species Classification in Boreal Forests With Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, 51, 2632-2645, <DOI:10.1109/TGRS.2012.2216272>.
Author: Michele Dalponte and Hans Ole Oerka
Maintainer: Michele Dalponte <michele.dalponte@fmach.it>

Diff between varSel versions 0.1 dated 2016-11-04 and 0.2 dated 2021-01-07

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Package sjmisc updated to version 2.8.6 with previous version 2.8.5 dated 2020-05-28

Title: Data and Variable Transformation Functions
Description: Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data, and all integrate seamlessly into a 'tidyverse'-workflow.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Iago Giné-Vázquez [ctb], Alexander Bartel [ctb] (<https://orcid.org/0000-0002-1280-6138>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjmisc versions 2.8.5 dated 2020-05-28 and 2.8.6 dated 2021-01-07

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New package PheNorm with initial version 0.1.0
Package: PheNorm
Type: Package
Title: Unsupervised Gold-Standard Label Free Phenotyping Algorithm for EHR Data
Version: 0.1.0
Authors@R: c( person("Sheng", "Yu", role = "aut"), person("Victor", "Castro", role = "aut"), person("Clara-Lea", "Bonzel", role = c("aut", "cre"), email = "clbonzel@hsph.harvard.edu"), person("Molei", "Liu", role = "aut"), person("Chuan", "Hong", role = "aut"), person("Tianxi", "Cai", role = "aut"), person(family = "PARSE LTD", role = "aut", email = "software@parse-health.org") )
Description: The algorithm combines the most predictive variable, such as count of the main International Classification of Diseases (ICD) codes, and other Electronic Health Record (EHR) features (e.g. health utilization and processed clinical note data), to obtain a score for accurate risk prediction and disease classification. In particular, it normalizes the surrogate to resemble gaussian mixture and leverages the remaining features through random corruption denoising. Background and details about the method can be found at Yu et al. (2018) <doi:10.1093/jamia/ocx111>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
URL: https://github.com/celehs/PheNorm
BugReports: https://github.com/celehs/PheNorm/issues
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-05 15:05:19 UTC; clara-lea
Author: Sheng Yu [aut], Victor Castro [aut], Clara-Lea Bonzel [aut, cre], Molei Liu [aut], Chuan Hong [aut], Tianxi Cai [aut], PARSE LTD [aut]
Maintainer: Clara-Lea Bonzel <clbonzel@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2021-01-07 13:50:05 UTC

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Package Bayesrel updated to version 0.7.0.3 with previous version 0.7.0.2 dated 2020-11-18

Title: Bayesian Reliability Estimation
Description: Functionality for the most common single test reliability estimates: Coefficient alpha, 'Guttman's' lambda-2/-4/-6, the Greatest lower bound and coefficient omega. The Bayesian estimates are provided with credible intervals. The frequentist estimates are provided with bootstrapped confidence intervals The method for the Bayesian estimates, except for omega, is sampling from the posterior inverse 'Wishart' for the covariance matrix based measures (see 'Murphy', 2007, <https://www.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>. In the case of omega it is 'Gibbs' Sampling from the joint conditional distributions of a single factor model ('Lee', 2007, <doi:10.1002/9780470024737>). The glb method uses adjusted code from the 'Rcsdp' package by 'Hector Corrada Bravo', <https://CRAN.R-project.org/package=Rcsdp>. This process applies a slightly adjusted solving algorithm from the 'CSDP' library by 'Brian Borchers' <https://github.com/coin-or/Csdp/wiki>, <doi:10.1080/10556789908805765>, but is wrapped in 'RcppArmadillo'. Guttman's Lambda-4 is from 'Benton' (2015) <doi:10.1007/978-3-319-07503-7_19>. The principal factor analysis for a version of frequentist omega is from 'Schlegel' (2017) <https://www.r-bloggers.com/2017/03/iterated-principal-factor-method-of-factor-analysis-with-r/>. The analytic confidence interval of alpha is from 'Bonett' and 'Wright' (2015) <doi:10.1002/job.1960>.
Author: Julius M. Pfadt [aut, cre], Don van den Bergh [aut], Joris Goosen [aut]
Maintainer: Julius M. Pfadt <julius.pfadt@gmail.com>

Diff between Bayesrel versions 0.7.0.2 dated 2020-11-18 and 0.7.0.3 dated 2021-01-07

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Package sfsmisc updated to version 1.1-8 with previous version 1.1-7 dated 2020-05-07

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes, an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Werner Stahel [ctb] (Functions: compresid2way(), f.robftest(), last(), p.scales(), p.dnorm()), Andreas Ruckstuhl [ctb] (Functions: p.arrows(), p.profileTraces(), p.res.2x()), Christian Keller [ctb] (Functions: histBxp(), p.tachoPlot()), Kjetil Halvorsen [ctb] (Functions: KSd(), ecdf.ksCI()), Alain Hauser [ctb] (Functions: cairoSwd(), is.whole(), toLatex.numeric()*), Christoph Buser [ctb] (to function Duplicated()), Lorenz Gygax [ctb] (to function p.res.2fact()), Bill Venables [ctb] (Functions: empty.dimnames(), primes()), Tony Plate [ctb] (to inv.seq()), Isabelle Fl<fc>ckiger [ctb], Marcel Wolbers [ctb], Markus Keller [ctb], Sandrine Dudoit [ctb], Jane Fridlyand [ctb], Greg Snow [ctb] (to loessDemo()), Henrik Aa. Nielsen [ctb] (to loessDemo()), Vincent Carey [ctb], Ben Bolker [ctb], Philippe Grosjean [ctb], Fr<e9>d<e9>ric Ibanez [ctb], Caterina Savi [ctb], Charles Geyer [ctb], Jens Oehlschl<e4>gel [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between sfsmisc versions 1.1-7 dated 2020-05-07 and 1.1-8 dated 2021-01-07

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New package nmm with initial version 0.9
Package: nmm
Type: Package
Title: Nonlinear Multivariate Models
Version: 0.9
Authors@R: c( person("Simona","Jokubauskaite", email = "rteam.prog@gmail.com", role=c("aut", "cre")), person("Reinhard","Hoessinger", role="aut"), person("Friedrich","Leisch", role="aut"))
Description: Estimates a subset of nonlinear multivariate models (NMM): system of nonlinear regressions (SNR), logit, and a joint model of SNR and logit. 'nmm' uniquely accounts for correlations between the error terms from nonlinear regressions and the probabilities from logit models. It also enables a very flexible design of logit: alternative-specific indirect utilities, individual-specific choice set and number of actual choices.
Imports: Rdpack, AER, mlogit, Hmisc, stats, gsubfn, abind, tidyr, plyr, dplyr
Depends: R (>= 4.0), systemfit, DEoptim, data.table, magrittr, maxLik
RdMacros: Rdpack
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, recipes, Stat2Data
NeedsCompilation: no
Packaged: 2021-01-05 11:14:39 UTC; joku
Author: Simona Jokubauskaite [aut, cre], Reinhard Hoessinger [aut], Friedrich Leisch [aut]
Maintainer: Simona Jokubauskaite <rteam.prog@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-07 11:20:03 UTC

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Package natmanager updated to version 0.4.7 with previous version 0.4.6 dated 2020-07-06

Title: Install the 'Natverse' Packages from Scratch
Description: Provides streamlined installation for packages from the 'natverse', a suite of R packages for computational neuroanatomy built on top of the 'nat' 'NeuroAnatomy Toolbox' package. Installation of the complete 'natverse' suite requires a 'GitHub' user account and personal access token 'GITHUB_PAT'. 'natmanager' will help the end user set this up if necessary.
Author: Sridhar Jagannathan [aut, cre] (<https://orcid.org/0000-0002-2078-1145>), Gregory Jefferis [aut] (<https://orcid.org/0000-0002-0587-9355>)
Maintainer: Sridhar Jagannathan <j.sridharrajan@gmail.com>

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Package mixIndependR updated to version 0.4.4 with previous version 0.4.3 dated 2020-11-30

Title: Genetics and Independence Testing of Mixed Genetic Panels
Description: Developed to deal with multi-locus genotype data, this package is especially designed for those panel which include different type of markers. Basic genetic parameters like allele frequency, genotype frequency, heterozygosity and Hardy-Weinberg test of mixed genetic data can be obtained. In addition, a new test for mutual independence which is compatible for mixed genetic data is developed in this package.
Author: Bing Song
Maintainer: Bing Song <bingsong@my.unthsc.edu>

Diff between mixIndependR versions 0.4.3 dated 2020-11-30 and 0.4.4 dated 2021-01-07

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New package ccid with initial version 1.0.0
Package: ccid
Type: Package
Title: Cross-Covariance Isolate Detect: a New Change-Point Method for Estimating Dynamic Functional Connectivity
Version: 1.0.0
Depends: R (>= 3.6.0)
Imports: IDetect, hdbinseg, GeneNet, gdata
Authors@R: c(person("Andreas", "Anastasiou", email = "anastasiou.andreas@ucy.ac.cy", role = c("aut", "cre")), person("Ivor", "Cribben", email = "cribben@ualberta.ca", role = "aut"), person("Piotr", "Fryzlewicz", email = "p.fryzlewicz@lse.ac.uk", role = "aut"))
Description: Provides efficient implementation of the Cross-Covariance Isolate Detect (CCID) methodology for the estimation of the number and location of multiple change-points in the second-order (cross-covariance or network) structure of multivariate, possibly high-dimensional time series. The method is motivated by the detection of change points in functional connectivity networks for functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magentoencephalography (MEG) and electrocorticography (ECoG) data. The main routines in the package have been extensively tested on fMRI data. For details on the CCID methodology, please see Anastasiou et al (2020) <doi:10.1101/2020.12.20.423696>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/Anastasiou-Andreas/ccid
BugReports: https://github.com/Anastasiou-Andreas/ccid/issues
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-01-05 11:11:56 UTC; ANASTAS7
Author: Andreas Anastasiou [aut, cre], Ivor Cribben [aut], Piotr Fryzlewicz [aut]
Maintainer: Andreas Anastasiou <anastasiou.andreas@ucy.ac.cy>
Repository: CRAN
Date/Publication: 2021-01-07 11:20:09 UTC

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Package randomLCA updated to version 1.1-0 with previous version 1.0-16 dated 2020-06-16

Title: Random Effects Latent Class Analysis
Description: Fits standard and random effects latent class models. The single level random effects model is described in Qu et al <doi:10.2307/2533043> and the two level random effects model in Beath and Heller <doi:10.1177/1471082X0800900302>. Examples are given for their use in diagnostic testing.
Author: Ken Beath [aut, cre]
Maintainer: Ken Beath <ken.beath@mq.edu.au>

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Package nngeo updated to version 0.4.1 with previous version 0.4.0 dated 2020-10-18

Title: k-Nearest Neighbor Join for Spatial Data
Description: K-nearest neighbor search for projected and non-projected 'sf' spatial layers. Nearest neighbor search uses (1) C code from 'GeographicLib' for lon-lat point layers, (2) function knn() from package 'nabor' for projected point layers, or (3) function st_distance() from package 'sf' for line or polygon layers. The package also includes several other utility functions for spatial analysis.
Author: Michael Dorman [aut, cre], Johnathan Rush [ctb], Ian Hough [ctb], Dominic Russel [ctb], Luigi Ranghetti [ctb], Charles F.F Karney [ctb, cph] (Author of included C code from 'GeographicLib' for geodesic distance)
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>

Diff between nngeo versions 0.4.0 dated 2020-10-18 and 0.4.1 dated 2021-01-07

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Package corpustools updated to version 0.4.4 with previous version 0.4.2 dated 2020-01-23

Title: Managing, Querying and Analyzing Tokenized Text
Description: Provides text analysis in R, focusing on the use of a tokenized text format. In this format, the positions of tokens are maintained, and each token can be annotated (e.g., part-of-speech tags, dependency relations). Prominent features include advanced Lucene-like querying for specific tokens or contexts (e.g., documents, sentences), similarity statistics for words and documents, exporting to DTM for compatibility with many text analysis packages, and the possibility to reconstruct original text from tokens to facilitate interpretation.
Author: Kasper Welbers and Wouter van Atteveldt
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>

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Package Clustering updated to version 1.7.2 with previous version 1.7.1 dated 2020-12-04

Title: Execution of Multiple Clustering Algorithm
Description: The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided.
Author: Luis Alfonso Perez Martos [aut, cre]
Maintainer: Luis Alfonso Perez Martos <lapm0001@gmail.com>

Diff between Clustering versions 1.7.1 dated 2020-12-04 and 1.7.2 dated 2021-01-07

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Package singcar updated to version 0.1.2 with previous version 0.1.1 dated 2020-10-29

Title: Comparing Single Cases to Small Samples
Description: When comparing single cases to control populations and no parameters are known researchers and clinicians must estimate these with a control sample. This is often done when testing a case's abnormality on some variable or testing abnormality of the discrepancy between two variables. Appropriate frequentist and Bayesian methods for doing this are here implemented, including tests allowing for the inclusion of covariates. These have been developed first and foremost by John Crawford and Paul Garthwaite, e.g. in Crawford and Howell (1998) <doi:10.1076/clin.12.4.482.7241>, Crawford and Garthwaite (2005) <doi:10.1037/0894-4105.19.3.318>, Crawford and Garthwaite (2007) <doi:10.1080/02643290701290146> and Crawford, Garthwaite and Ryan (2011) <doi:10.1016/j.cortex.2011.02.017>. The package is also equipped with power calculators for each method.
Author: Jonathan Rittmo [aut, cre] (<https://orcid.org/0000-0001-5075-0166>), Robert McIntosh [aut] (<https://orcid.org/0000-0002-7615-6699>)
Maintainer: Jonathan Rittmo <j.rittmo@gmail.com>

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New package UPG with initial version 0.2.2
Package: UPG
Type: Package
Title: Efficient Bayesian Models for Binary and Categorical Data
Version: 0.2.2
Authors@R: c(person("Gregor","Zens",role=c("aut","cre"),email="gzens@wu.ac.at"), person("Sylvia","Fr<fc>hwirth-Schnatter", role="aut"), person("Helga","Wagner", role="aut"), person("Daniel F.","Schmidt", role="ctb"), person("Enes", "Makalic", role="ctb"))
Author: Gregor Zens [aut, cre], Sylvia Fr<fc>hwirth-Schnatter [aut], Helga Wagner [aut], Daniel F. Schmidt [ctb], Enes Makalic [ctb]
Maintainer: Gregor Zens <gzens@wu.ac.at>
Description: Highly efficient Bayesian implementations of probit, logit, multinomial logit and binomial logit models. Functions for plotting and tabulating the estimation output are available as well. Estimation is based on Gibbs sampling where the Markov chain Monte Carlo algorithms are based on the latent variable representations and boosting algorithms outlined in Fr<fc>hwirth-Schnatter S., Zens G., Wagner H. (2020) <arXiv:2011.06898>. The underlying implementation is written in C++.
Encoding: latin1
License: GPL-3
Language: en-US
Depends: R (>= 3.5.0)
SystemRequirements: C++11
Imports: ggplot2, knitr, matrixStats, mnormt, pgdraw, reshape2, Rcpp, RcppProgress, coda
LazyData: true
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-01-02 10:06:10 UTC; g.zens
Repository: CRAN
Date/Publication: 2021-01-07 09:00:05 UTC

More information about UPG at CRAN
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Package RPostgres updated to version 1.3.0 with previous version 1.2.1 dated 2020-09-28

Title: 'Rcpp' Interface to 'PostgreSQL'
Description: Fully 'DBI'-compliant 'Rcpp'-backed interface to 'PostgreSQL' <https://www.postgresql.org/>, an open-source relational database.
Author: Hadley Wickham [aut], Jeroen Ooms [aut], Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), RStudio [cph], R Consortium [fnd], Tomoaki Nishiyama [ctb] (Code for encoding vectors into strings derived from RPostgreSQL)
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package onewaytests updated to version 2.5 with previous version 2.4 dated 2019-08-19

Title: One-Way Tests in Independent Groups Designs
Description: Performs one-way tests in independent groups designs; one-way analysis of variance (ANOVA), Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed means and Winsorized variances, Brown-Forsythe test, Alexander-Govern test, James second order test, Kruskal-Wallis test, Scott-Smith test, Box F test and Johansen F test, Generalized tests equivalent to Parametric Bootstrap and Fiducial tests. The package performs pairwise comparisons and graphical approaches. Also, the package includes Student's t test, Welch's t test and Mann-Whitney U test for two samples. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots (Dag et al., 2018, <https://journal.r-project.org/archive/2018/RJ-2018-022/RJ-2018-022.pdf>).
Author: Osman Dag [aut, cre], Anil Dolgun [aut], N. Meric Konar [aut], Sam Weerahandi [ctb], Malwane Ananda [ctb]
Maintainer: Osman Dag <osman.dag@outlook.com>

Diff between onewaytests versions 2.4 dated 2019-08-19 and 2.5 dated 2021-01-07

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Package pedSimulate updated to version 0.1.1 with previous version 0.0.4 dated 2020-04-26

Title: Pedigree, Genetic Merit and Phenotype Simulation
Description: Simulate pedigree, genetic merits and phenotypes with (non)random mating followed by (non)random selection with different patterns in males and females. Bijma, P. & Rutten, M. (2002) <https://www.wur.nl/en/Research-Results/Chair-groups/Animal-Sciences/Animal-Breeding-and-Genomics-Group/Research/Software.htm>.
Author: Mohammad Ali Nilforooshan [aut, cre] (<https://orcid.org/0000-0003-0339-5442>)
Maintainer: Mohammad Ali Nilforooshan <m.a.nilforooshan@gmail.com>

Diff between pedSimulate versions 0.0.4 dated 2020-04-26 and 0.1.1 dated 2021-01-07

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Package genieclust updated to version 0.9.7 with previous version 0.9.4 dated 2020-07-31

Title: The Genie++ Hierarchical Clustering Algorithm with Noise Points Detection
Description: A retake on the Genie algorithm - a robust hierarchical clustering method (Gagolewski, Bartoszuk, Cena, 2016 <DOI:10.1016/j.ins.2016.05.003>). Now faster and more memory efficient; determining the whole hierarchy for datasets of 10M points in low dimensional Euclidean spaces or 100K points in high-dimensional ones takes only 1-2 minutes. Allows clustering with respect to mutual reachability distances so that it can act as a noise point detector or a robustified version of 'HDBSCAN*' (that is able to detect a predefined number of clusters and hence it does not dependent on the somewhat fragile 'eps' parameter). The package also features an implementation of economic inequity indices (the Gini, Bonferroni index) and external cluster validity measures (partition similarity scores; e.g., the adjusted Rand, Fowlkes-Mallows, adjusted mutual information, pair sets index). See also the 'Python' version of 'genieclust' available on 'PyPI', which supports sparse data, more metrics, and even larger datasets.
Author: Marek Gagolewski [aut, cre, cph] (<https://orcid.org/0000-0003-0637-6028>), Maciej Bartoszuk [ctb], Anna Cena [ctb], Peter M. Larsen [ctb]
Maintainer: Marek Gagolewski <marek@gagolewski.com>

Diff between genieclust versions 0.9.4 dated 2020-07-31 and 0.9.7 dated 2021-01-07

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Package splines2 updated to version 0.4.1 with previous version 0.3.1 dated 2020-07-14

Title: Regression Spline Functions and Classes
Description: Constructs basis matrix of B-splines, M-splines I-splines, convex splines (C-splines), periodic M-splines, natural cubic splines, generalized Bernstein polynomials, and their integrals (except C-splines) and derivatives of given order by close-form recursive formulas. It also contains a C++ head-only library integrated with Rcpp. See De Boor (1978) <doi:10.1002/zamm.19800600129>, Ramsay (1988) <doi:10.1214/ss/1177012761>, and Meyer (2008) <doi:10.1214/08-AOAS167> for more information about the spline basis.
Author: Wenjie Wang [aut, cre] (<https://orcid.org/0000-0003-0363-3180>), Jun Yan [aut] (<https://orcid.org/0000-0003-4401-7296>)
Maintainer: Wenjie Wang <wang@wwenjie.org>

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Package shinypanel updated to version 0.1.4 with previous version 0.1.2 dated 2020-10-16

Title: Shiny Control Panel
Description: Add shiny inputs with one or more inline buttons that grow and shrink with inputs. Also add tool tips to input buttons and styling and messages for input validation.
Author: Alex Pickering
Maintainer: Alex Pickering <alexvpickering@gmail.com>

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Package s20x updated to version 3.1-30 with previous version 3.1-29 dated 2020-09-18

Title: Functions for University of Auckland Course STATS 201/208 Data Analysis
Description: A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.
Author: Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike Forster, Brendan McArdle, Ben Stevenson, Chris Wild
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package RMariaDB updated to version 1.1.0 with previous version 1.0.11 dated 2020-12-16

Title: Database Interface and 'MariaDB' Driver
Description: Implements a 'DBI'-compliant interface to 'MariaDB' (<https://mariadb.org/>) and 'MySQL' (<https://www.mysql.com/>) databases.
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Jeroen Ooms [aut] (<https://orcid.org/0000-0002-4035-0289>), David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package rgrass7 updated to version 0.2-4 with previous version 0.2-3 dated 2020-12-07

Title: Interface Between GRASS 7 Geographical Information System and R
Description: Interpreted interface between 'GRASS' 7 geographical information system and R, based on starting R from within the 'GRASS' 'GIS' environment, or running free-standing R in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the R command line. This package may not be used for 'GRASS' 6, for which 'spgrass6' should be used.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Rainer Krug [ctb] (<https://orcid.org/0000-0002-7490-0066>), Markus Neteler [ctb] (<https://orcid.org/0000-0003-1916-1966>), Sebastian Jeworutzki [ctb] (<https://orcid.org/0000-0002-2671-5253>), Floris Vanderhaeghe [ctb] (<https://orcid.org/0000-0002-6378-6229>)
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package RCzechia updated to version 1.6.3 with previous version 1.6.2 dated 2021-01-04

Title: Spatial Objects of the Czech Republic
Description: Administrative regions and other spatial objects of the Czech Republic.
Author: Jindra Lacko
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>

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Package RcppXsimd updated to version 7.1.5 with previous version 7.1.4 dated 2019-07-18

Title: Xsimd C++ Header-Only Library Files
Description: This header-only library provides modern, portable C++ wrappers for SIMD intrinsics and parallelized, optimized math implementations (SSE, AVX, NEON, AVX512). By placing this library in this package, we offer an efficient distribution system for Xsimd <https://github.com/xtensor-stack/xsimd> for R packages using CRAN.
Author: Marc A. Suchard [aut, cre], Andrew J. Holbrook [aut], Observational Health Data Sciences and Informatics [cph], Johan Mabille [cph, ctb] (author and copyright holder of Xsimd library under a BSD-3 license), Sylvain Corlay [cph, ctb] (author and copyright holder of Xsimd library under a BSD-3 license), Alexander J. Lee [cph, ctb] (author and copyright holder of FeatureDetector library under a CC0 1.0 license)
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

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Package processR updated to version 0.2.6 with previous version 0.2.3 dated 2020-01-27

Title: Implementation of the 'PROCESS' Macro
Description: Perform moderation, mediation, moderated mediation and moderated moderation. Inspired from famous 'PROCESS' macro for 'SPSS' and 'SAS' created by Andrew Hayes.
Author: Keon-Woong Moon [aut, cre], Sokyoung Hong [ctb]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package proceduralnames updated to version 0.1.1 with previous version 0.1.0 dated 2021-01-05

Title: Several Methods for Procedural Name Generation
Description: A small, dependency-free way to generate random names. Methods provided include the adjective-surname approach of Docker containers ('<https://github.com/moby/moby/blob/master/pkg/namesgenerator/names-generator.go'), and combinations of common English or Spanish words.
Author: Michael Mahoney [aut, cre] (<https://orcid.org/0000-0003-2402-304X>)
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

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Package precrec updated to version 0.12.0 with previous version 0.11.2 dated 2020-05-28

Title: Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves
Description: Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves.
Author: Takaya Saito [aut, cre], Marc Rehmsmeier [aut]
Maintainer: Takaya Saito <takaya.saito@outlook.com>

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Package modelsummary updated to version 0.6.5 with previous version 0.6.4 dated 2020-12-15

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents.
Author: Vincent Arel-Bundock [aut, cre] (<https://orcid.org/0000-0003-2042-7063>)
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package logitnorm updated to version 0.8.38 with previous version 0.8.37 dated 2018-07-30

Title: Functions for the Logitnormal Distribution
Description: Density, distribution, quantile and random generation function for the logitnormal distribution. Estimation of the mode and the first two moments. Estimation of distribution parameters.
Author: Thomas Wutzler
Maintainer: Thomas Wutzler <twutz@bgc-jena.mpg.de>

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Package llama updated to version 0.9.4 with previous version 0.9.3 dated 2020-05-22

Title: Leveraging Learning to Automatically Manage Algorithms
Description: Provides functionality to train and evaluate algorithm selection models for portfolios.
Author: Lars Kotthoff [aut,cre], Bernd Bischl [aut], Barry Hurley [ctb], Talal Rahwan [ctb]
Maintainer: Lars Kotthoff <larsko@uwyo.edu>

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Package leaflet updated to version 2.0.4.1 with previous version 2.0.3 dated 2019-11-16

Title: Create Interactive Web Maps with the JavaScript 'Leaflet' Library
Description: Create and customize interactive maps using the 'Leaflet' JavaScript library and the 'htmlwidgets' package. These maps can be used directly from the R console, from 'RStudio', in Shiny applications and R Markdown documents.
Author: Joe Cheng [aut, cre], Bhaskar Karambelkar [aut], Yihui Xie [aut], Hadley Wickham [ctb], Kenton Russell [ctb], Kent Johnson [ctb], Barret Schloerke [ctb], jQuery Foundation and contributors [ctb, cph] (jQuery library), Vladimir Agafonkin [ctb, cph] (Leaflet library), CloudMade [cph] (Leaflet library), Leaflet contributors [ctb] (Leaflet library), Brandon Copeland [ctb, cph] (leaflet-measure plugin), Joerg Dietrich [ctb, cph] (Leaflet.Terminator plugin), Benjamin Becquet [ctb, cph] (Leaflet.MagnifyingGlass plugin), Norkart AS [ctb, cph] (Leaflet.MiniMap plugin), L. Voogdt [ctb, cph] (Leaflet.awesome-markers plugin), Daniel Montague [ctb, cph] (Leaflet.EasyButton plugin), Kartena AB [ctb, cph] (Proj4Leaflet plugin), Robert Kajic [ctb, cph] (leaflet-locationfilter plugin), Mapbox [ctb, cph] (leaflet-omnivore plugin), Michael Bostock [ctb, cph] (topojson), RStudio [cph]
Maintainer: Joe Cheng <joe@rstudio.com>

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Package ggeasy updated to version 0.1.3 with previous version 0.1.2 dated 2020-03-19

Title: Easy Access to 'ggplot2' Commands
Description: Provides a series of aliases to commonly used but difficult to remember 'ggplot2' sequences.
Author: Jonathan Carroll [aut, cre] (<https://orcid.org/0000-0002-1404-5264>), Alicia Schep [aut] (<https://orcid.org/0000-0002-3915-0618>), Jonathan Sidi [aut] (<https://orcid.org/0000-0002-4222-1819>), Bob Rudis [ctb] (<https://orcid.org/0000-0001-5670-2640>), Mohamed El Fodil Ihaddaden [ctb], Thomas Neitmann [ctb]
Maintainer: Jonathan Carroll <rpkg@jcarroll.com.au>

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Package fakemake updated to version 1.10.0 with previous version 1.9.0 dated 2020-12-02

Title: Mock the Unix Make Utility
Description: Use R as a minimal build system. This might come in handy if you are developing R packages and can not use a proper build system. Stay away if you can (use a proper build system).
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package estimatr updated to version 0.30.0 with previous version 0.28.0 dated 2020-11-19

Title: Fast Estimators for Design-Based Inference
Description: Fast procedures for small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>.
Author: Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Luke Sonnet [aut], Neal Fultz [ctb], Lily Medina [ctb], Russell Lenth [ctb]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>

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Package eplusr updated to version 0.14.0 with previous version 0.13.0 dated 2020-08-28

Title: A Toolkit for Using Whole Building Simulation Program 'EnergyPlus'
Description: A rich toolkit of using the whole building simulation program 'EnergyPlus'(<https://energyplus.net>), which enables programmatic navigation, modification of 'EnergyPlus' models and makes it less painful to do parametric simulations and analysis.
Author: Hongyuan Jia [aut, cre] (<https://orcid.org/0000-0002-0075-8183>)
Maintainer: Hongyuan Jia <hongyuan.jia@bears-berkeley.sg>

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Package diffobj updated to version 0.3.3 with previous version 0.3.2 dated 2020-10-05

Title: Diffs for R Objects
Description: Generate a colorized diff of two R objects for an intuitive visualization of their differences.
Author: Brodie Gaslam [aut, cre], Michael B. Allen [ctb, cph] (Original C implementation of Myers Diff Algorithm)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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Package calculus updated to version 0.3.0 with previous version 0.2.1 dated 2020-03-23

Title: High Dimensional Numerical and Symbolic Calculus
Description: Efficient C++ optimized functions for numerical and symbolic calculus as described in Guidotti (2020) <arXiv:2101.00086>. It includes basic arithmetic, tensor calculus, Einstein summing convention, fast computation of the Levi-Civita symbol and generalized Kronecker delta, Taylor series expansion, multivariate Hermite polynomials, high-order derivatives, ordinary differential equations, differential operators (Gradient, Jacobian, Hessian, Divergence, Curl, Laplacian) and numerical integration in arbitrary orthogonal coordinate systems: cartesian, polar, spherical, cylindrical, parabolic or user defined by custom scale factors.
Author: Emanuele Guidotti [aut, cre] (<https://orcid.org/0000-0002-8961-6623>)
Maintainer: Emanuele Guidotti <emanuele.guidotti@unine.ch>

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Package boot.heterogeneity updated to version 1.1.2 with previous version 0.1.1 dated 2020-09-21

Title: A Bootstrap-Based Heterogeneity Test for Meta-Analysis
Description: Implements a bootstrap-based heterogeneity test for standardized mean differences (d), Fisher-transformed Pearson's correlations (r), and natural-logarithm-transformed odds ratio (or) in meta-analysis studies. Depending on the presence of moderators, this Monte Carlo based test can be implemented in the random- or mixed-effects model. This package uses rma() function from the R package 'metafor' to obtain parameter estimates and likelihoods, so installation of R package 'metafor' is required. This approach refers to the studies of Anscombe (1956) <doi:10.2307/2332926>, Haldane (1940) <doi:10.2307/2332614>, Hedges (1981) <doi:10.3102/10769986006002107>, Hedges & Olkin (1985, ISBN:978-0123363800), Silagy, Lancaster, Stead, Mant, & Fowler (2004) <doi:10.1002/14651858.CD000146.pub2>, Viechtbauer (2010) <doi:10.18637/jss.v036.i03>, and Zuckerman (1994, ISBN:978-0521432009).
Author: Ge Jiang [aut, cre], Han Du [aut], Zijun Ke [ctb]
Maintainer: Ge Jiang <gejiang2@illinois.edu>

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Package BNSP updated to version 2.1.5 with previous version 2.1.4 dated 2020-05-08

Title: Bayesian Non- And Semi-Parametric Model Fitting
Description: MCMC algorithms & processing functions for: 1. single response multiple regression, see Papageorgiou, G. (2018) <doi: 10.32614/RJ-2018-069>, 2. multivariate response multiple regression, with nonparametric models for the means, the variances and the correlation matrix, with variable selection, see Papageorgiou, G. and Marshall, B. C. (2020) <doi: 10.1080/10618600.2020.1739534>, 3. joint mean-covariance models for multivariate responses, see Papageorgiou, G. (2020), and 4.Dirichlet process mixtures, see Papageorgiou, G. (2019) <doi: 10.1111/anzs.12273>.
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo@gmail.com>

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Package BioVenn updated to version 1.1.1 with previous version 1.1.0 dated 2020-11-20

Title: Create Area-Proportional Venn Diagrams from Biological Lists
Description: Creates an area-proportional Venn diagram of 2 or 3 circles. 'BioVenn' is the only R package that can automatically generate an accurate area-proportional Venn diagram by having only lists of (biological) identifiers as input. Also offers the option to map Entrez and/or Affymetrix IDs to Ensembl IDs. In SVG mode, text and numbers can be dragged and dropped. Based on the BioVenn web interface available at <https://www.biovenn.nl>. Hulsen et al. (2008) <doi:10.1186/1471-2164-9-488>.
Author: Tim Hulsen [aut, cre] (<https://orcid.org/0000-0002-0208-8443>)
Maintainer: Tim Hulsen <thulsen@gmail.com>

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Package bigsparser updated to version 0.4.1 with previous version 0.4.0 dated 2020-08-24

Title: Sparse Matrix Format with Data on Disk
Description: Provides a sparse matrix format with data stored on disk, to be used in both R and C++. This is intended for more efficient use of sparse data in C++ and also when parallelizing, since data on disk does not need copying. Only a limited number of features will be implemented. For now, conversion can be performed from a 'dgCMatrix' or a 'dsCMatrix' from R package 'Matrix'.
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

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Package StratifiedMedicine updated to version 1.0.3 with previous version 1.0.2 dated 2020-08-03

Title: Stratified Medicine
Description: A toolkit for stratified medicine, subgroup identification, and precision medicine. Current tools include (1) filtering models (reduce covariate space), (2) patient-level estimate models (counterfactual patient-level quantities, for example the individual treatment effect), (3) subgroup identification models (find subsets of patients with similar treatment effects), and (4) parameter estimation and inference (for the overall population and discovered subgroups). These tools can directly feed into stratified medicine algorithms including PRISM (patient response identifiers for stratified medicine; Jemielita and Mehrotra 2019 <arXiv:1912.03337>. PRISM is a flexible and general framework which accepts user-created models/functions. This package is in beta and will be continually updated.
Author: Thomas Jemielita [aut, cre]
Maintainer: Thomas Jemielita <thomasjemielita@gmail.com>

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Package radous updated to version 0.1.1 with previous version 0.1.0 dated 2020-11-05

Title: Query Random User Data from the Random User Generator API
Description: Generate random user data from the Random User Generator API. For more information, see <https://randomuser.me/>.
Author: Mohamed El Fodil Ihaddaden
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>

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Package neat updated to version 1.2.3 with previous version 1.2.2 dated 2020-10-22

Title: Efficient Network Enrichment Analysis Test
Description: Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in Signorelli et al. (2016, <DOI:10.1186/s12859-016-1203-6>).
Author: Mirko Signorelli [aut, cre, cph] (<https://orcid.org/0000-0002-8102-3356>), Veronica Vinciotti [ctb], Ernst Wit [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

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