Wed, 13 Jan 2021

New package lmQCM with initial version 0.2.2
Package: lmQCM
Type: Package
Title: An Algorithm for Gene Co-Expression Analysis
Version: 0.2.2
Date: 2021-01-13
Authors@R: c(person("Zhi", "Huang", email = "huang898@purdue.edu", role = c("aut", "cre")), person("Jie", "Zhang", email = "jizhan@iu.edu", role = c("aut", "ctb")), person("Kun", "Huang", email = "kunhuang@iu.edu", role = c("aut", "ctb")), person("Zhi", "Han", email = "zhihan@iu.edu", role = c("aut", "ctb")) )
Author: Zhi Huang [aut, cre], Jie Zhang [aut, ctb], Kun Huang [aut, ctb], Zhi Han [aut, ctb]
Maintainer: Zhi Huang <huang898@purdue.edu>
Description: Implementation based on Zhang, Jie & Huang, Kun (2014) <doi:10.4137/CIN.S14021> Normalized ImQCM: An Algorithm for Detecting Weak Quasi-Cliques in Weighted Graph with Applications in Gene Co-Expression Module Discovery in Cancers. Cancer informatics, 13, CIN-S14021.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: genefilter, Biobase, progress, stats, methods
Suggests: devtools, roxygen2
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/huangzhii/lmQCM/
BugReports: https://github.com/huangzhii/lmQCM/issues/
NeedsCompilation: no
Packaged: 2021-01-13 19:10:40 UTC; zhihuan
Repository: CRAN
Date/Publication: 2021-01-14 00:10:02 UTC

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Package RDFTensor updated to version 1.3 with previous version 1.2 dated 2020-05-31

Title: Different Tensor Factorization (Decomposition) Techniques for RDF Tensors (Three-Mode-Tensors)
Description: Different Tensor Factorization techniques suitable for RDF Tensors. RDF Tensors are three-mode-tensors, binary tensors and usually very sparse. Currently implemented methods are 'RESCAL' Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel (2012) <doi:10.1145/2187836.2187874>, 'NMU' Daniel D. Lee and H. Sebastian Seung (1999) <doi:10.1038/44565>, 'ALS', Alternating Least Squares 'parCube' Papalexakis, Evangelos, C. Faloutsos, and N. Sidiropoulos (2012) <doi:10.1007/978-3-642-33460-3_39>, 'CP_APR' C. Chi and T. G. Kolda (2012) <doi:10.1137/110859063>. The code is mostly converted from MATLAB and Python implementations of these methods. The package also contains functions to get Boolean (Binary) transformation of the real-number-decompositions. These methods also are for general tensors, so with few modifications they can be applied for other types of tensor.
Author: Abdelmoneim Amer Desouki
Maintainer: Abdelmoneim Amer Desouki <desouki@hhu.de>

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Package rgbif updated to version 3.5.0 with previous version 3.4.2 dated 2021-01-06

Title: Interface to the Global 'Biodiversity' Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility ('GBIF'; <https://www.gbif.org/developer/summary>). 'GBIF' is a database of species occurrence records from sources all over the globe. 'rgbif' includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the 'GBIF' tile map service to make 'rasters' summarizing huge amounts of data.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Damiano Oldoni [aut] (<https://orcid.org/0000-0003-3445-7562>), Vijay Barve [ctb] (<https://orcid.org/0000-0002-4852-2567>), Peter Desmet [ctb] (<https://orcid.org/0000-0002-8442-8025>), Laurens Geffert [ctb], Dan Mcglinn [ctb] (<https://orcid.org/0000-0003-2359-3526>), Karthik Ram [ctb] (<https://orcid.org/0000-0002-0233-1757>), rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package AzureStor updated to version 3.4.0 with previous version 3.3.0 dated 2020-10-12

Title: Storage Management in 'Azure'
Description: Manage storage in Microsoft's 'Azure' cloud: <https://azure.microsoft.com/services/storage/>. On the admin side, 'AzureStor' includes features to create, modify and delete storage accounts. On the client side, it includes an interface to blob storage, file storage, and 'Azure Data Lake Storage Gen2': upload and download files and blobs; list containers and files/blobs; create containers; and so on. Authenticated access to storage is supported, via either a shared access key or a shared access signature (SAS). Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package rfishbase updated to version 3.1.4 with previous version 3.0.4 dated 2019-06-27

Title: R Interface to 'FishBase'
Description: A programmatic interface to 'FishBase', re-written based on an accompanying 'RESTful' API. Access tables describing over 30,000 species of fish, their biology, ecology, morphology, and more. This package also supports experimental access to 'SeaLifeBase' data, which contains nearly 200,000 species records for all types of aquatic life not covered by 'FishBase.'
Author: Carl Boettiger [cre, aut] (<https://orcid.org/0000-0002-1642-628X>), Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Duncan Temple Lang [aut], Peter Wainwright [aut], Kevin Cazelles [ctb] (<https://orcid.org/0000-0001-6619-9874>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package crunchy updated to version 0.3.3 with previous version 0.3.2 dated 2020-07-20

Title: Shiny Apps on Crunch
Description: To facilitate building custom dashboards on the Crunch data platform <https://crunch.io/>, the 'crunchy' package provides tools for working with 'shiny'. These tools include utilities to manage authentication and authorization automatically and custom stylesheets to help match the look and feel of the Crunch web application. The package also includes several gadgets for use in 'RStudio'.
Author: Greg Freedman Ellis [aut, cre], Neal Richardson [aut], Jonathan Keane [aut], Gordon Shotwell [aut], Mike Malecki [aut]
Maintainer: Greg Freedman Ellis <greg@crunch.io>

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Package visvow updated to version 1.1.1 with previous version 1.1.0 dated 2020-09-04

Title: Visible Vowels: Visualization of Vowel Variation
Description: Visualizes vowel variation in f0, F1, F2, F3 and duration.
Author: Wilbert Heeringa, Hans Van de Velde
Maintainer: Wilbert Heeringa <wjheeringa@gmail.com>

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Package JointAI updated to version 1.0.2 with previous version 1.0.1 dated 2020-11-16

Title: Joint Analysis and Imputation of Incomplete Data
Description: Joint analysis and imputation of incomplete data in the Bayesian framework, using (generalized) linear (mixed) models and extensions there of, survival models, or joint models for longitudinal and survival data. Incomplete covariates, if present, are automatically imputed. The package performs some preprocessing of the data and creates a 'JAGS' model, which will then automatically be passed to 'JAGS' <http://mcmc-jags.sourceforge.net/> with the help of the package 'rjags'.
Author: Nicole S. Erler [aut, cre] (<https://orcid.org/0000-0002-9370-6832>)
Maintainer: Nicole S. Erler <n.erler@erasmusmc.nl>

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Package isotree updated to version 0.1.28 with previous version 0.1.24 dated 2020-12-10

Title: Isolation-Based Outlier Detection
Description: Fast and multi-threaded implementation of isolation forest (Liu, Ting, Zhou (2008) <doi:10.1109/ICDM.2008.17>), extended isolation forest (Hariri, Kind, Brunner (2018) <arXiv:1811.02141>), SCiForest (Liu, Ting, Zhou (2010) <doi:10.1007/978-3-642-15883-4_18>), and fair-cut forest (Cortes (2019) <arXiv:1911.06646>), for isolation-based outlier detection, clustered outlier detection, distance or similarity approximation (Cortes (2019) <arXiv:1910.12362>), and imputation of missing values (Cortes (2019) <arXiv:1911.06646>), based on random or guided decision tree splitting. Provides simple heuristics for fitting the model to categorical columns and handling missing data, and offers options for varying between random and guided splits, and for using different splitting criteria.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package SwimmeR updated to version 0.7.2 with previous version 0.6.0 dated 2020-11-22

Title: Data Import, Cleaning, and Conversions for Swimming Results
Description: The goal for of the 'SwimmeR' package is to provide means of acquiring, and then analyzing, data from swimming (and diving) competitions. To that end 'SwimmeR' allows results to be read in from .html sources, like 'Hy-Tek' real time results pages, '.pdf' files, 'ISL' results, and (on a development basis) '.hy3' files. Once read in, 'SwimmeR' can convert swimming times (performances) between the computationally useful format of seconds reported to the '100ths' place (e.g. 95.37), and the conventional reporting format (1:35.37) used in the swimming community. 'SwimmeR' can also score meets in a variety of formats with user defined point values, convert times between courses ('LCM', 'SCM', 'SCY') and draw single elimination brackets, as well as providing a suite of tools for working cleaning swimming data. This is a developmental package, not yet mature.
Author: Greg Pilgrim [aut, cre] (<https://orcid.org/0000-0001-7831-442X>), Caitlin Baldwin [ctb]
Maintainer: Greg Pilgrim <gpilgrim2670@gmail.com>

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 SwimmeR-0.7.2/SwimmeR/R/utils-pipe.R                                                                         |   22 
 SwimmeR-0.7.2/SwimmeR/README.md                                                                              |  282 -
 SwimmeR-0.7.2/SwimmeR/build/vignette.rds                                                                     |binary
 SwimmeR-0.7.2/SwimmeR/inst/CITATION                                                                          |   30 
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 SwimmeR-0.7.2/SwimmeR/inst/doc/SwimmeR.Rmd                                                                   |  557 +-
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 SwimmeR-0.7.2/SwimmeR/man/King200Breast.Rd                                                                   |   38 
 SwimmeR-0.7.2/SwimmeR/man/Read_Results.Rd                                                                    |   64 
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 SwimmeR-0.7.2/SwimmeR/man/SwimmeR.Rd                                                                         |   26 
 SwimmeR-0.7.2/SwimmeR/man/add_row_numbers.Rd                                                                 |   46 
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 SwimmeR-0.7.2/SwimmeR/man/course_convert_DF.Rd                                                               |   92 
 SwimmeR-0.7.2/SwimmeR/man/discard_errors.Rd                                                                  |   44 
 SwimmeR-0.7.2/SwimmeR/man/dive_place.Rd                                                                      |   50 
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 SwimmeR-0.7.2/SwimmeR/man/event_parse.Rd                                                                     |   46 
 SwimmeR-0.7.2/SwimmeR/man/event_parse_ISL.Rd                                                                 |   46 
 SwimmeR-0.7.2/SwimmeR/man/fill_down.Rd                                                                       |   46 
 SwimmeR-0.7.2/SwimmeR/man/fill_left.Rd                                                                       |   46 
 SwimmeR-0.7.2/SwimmeR/man/fold.Rd                                                                            |   52 
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 SwimmeR-0.7.2/SwimmeR/man/is_link_broken.Rd                                                                  |   46 
 SwimmeR-0.7.2/SwimmeR/man/lines_sort.Rd                                                                      |   50 
 SwimmeR-0.7.2/SwimmeR/man/list_transform.Rd                                                                  |   46 
 SwimmeR-0.7.2/SwimmeR/man/mmss_format.Rd                                                                     |   60 
 SwimmeR-0.7.2/SwimmeR/man/pipe.Rd                                                                            |   24 
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 SwimmeR-0.7.2/SwimmeR/man/splits_parse_ISL.Rd                                                                |   46 
 SwimmeR-0.7.2/SwimmeR/man/splits_reform.Rd                                                                   |   46 
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 SwimmeR-0.7.2/SwimmeR/man/swim_place.Rd                                                                      |   50 
 SwimmeR-0.7.2/SwimmeR/man/tie_rescore.Rd                                                                     |   54 
 SwimmeR-0.7.2/SwimmeR/tests/testthat.R                                                                       |    8 
 SwimmeR-0.7.2/SwimmeR/tests/testthat/test-Course_Convert.R                                                   |    6 
 SwimmeR-0.7.2/SwimmeR/tests/testthat/test-Course_Convert_DF.R                                                |   22 
 SwimmeR-0.7.2/SwimmeR/tests/testthat/test-ISL.R                                                              |  122 
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 SwimmeR-0.7.2/SwimmeR/tests/testthat/test-get_mode.R                                                         |   20 
 SwimmeR-0.7.2/SwimmeR/tests/testthat/test-hy3_parse_works.R                                                  |   20 
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Package SpaDES updated to version 2.0.6 with previous version 2.0.4 dated 2019-09-17

Title: Develop and Run Spatially Explicit Discrete Event Simulation Models
Description: Metapackage for implementing a variety of event-based models, with a focus on spatially explicit models. These include raster-based, event-based, and agent-based models. The core simulation components (provided by 'SpaDES.core') are built upon a discrete event simulation (DES; see Matloff (2011) ch 7.8.3 <https://nostarch.com/artofr.htm>) framework that facilitates modularity, and easily enables the user to include additional functionality by running user-built simulation modules (see also 'SpaDES.tools'). Included are numerous tools to visualize rasters and other maps (via 'quickPlot'), and caching methods for reproducible simulations (via 'reproducible'). Tools for running simulation experiments are provided by 'SpaDES.experiment'. Additional functionality is provided by the 'SpaDES.addins' and 'SpaDES.shiny' packages.
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], 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>

Diff between SpaDES versions 2.0.4 dated 2019-09-17 and 2.0.6 dated 2021-01-13

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Package PBSmapping updated to version 2.73.0 with previous version 2.72.1 dated 2019-03-15

Title: Mapping Fisheries Data and Spatial Analysis Tools
Description: This software has evolved from fisheries research conducted at the Pacific Biological Station (PBS) in 'Nanaimo', British Columbia, Canada. It extends the R language to include two-dimensional plotting features similar to those commonly available in a Geographic Information System (GIS). Embedded C code speeds algorithms from computational geometry, such as finding polygons that contain specified point events or converting between longitude-latitude and Universal Transverse Mercator (UTM) coordinates. Additionally, we include 'C++' code developed by Angus Johnson for the 'Clipper' library, data for a global shoreline, and other data sets in the public domain. Under the user's R library directory '.libPaths()', specifically in './PBSmapping/doc', a complete user's guide is offered and should be consulted to use package functions effectively.
Author: Jon T. Schnute [aut], Nicholas Boers [aut], Rowan Haigh [aut, cre], Alex Couture-Beil [ctb], Denis Chabot [ctb], Chris Grandin [ctb], Angus Johnson [ctb], Paul Wessel [ctb], Franklin Antonio [ctb], Nicholas J. Lewin-Koh [ctb], Roger Bivand [ctb]
Maintainer: Rowan Haigh <rowan.haigh@dfo-mpo.gc.ca>

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New package shinyIRT with initial version 0.1
Package: shinyIRT
Type: Package
Title: Item Response Theory Analysis with a 'shiny' Application
Version: 0.1
Author: Huseyin Yildiz [aut, cre]
Maintainer: Huseyin Yildiz <huseyinyildiz35@gmail.com>
Description: Performing Item Response Theory analysis such as parameter estimation, ability estimation, item and model fit analyse, local independence assumption, dimensionality assumption, characteristic and information curves under various models with a user friendly 'shiny' interface.
Imports: magrittr, shiny, shinydashboard, shinycssloaders, readxl, stats, mirt, psych, irtoys
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-01-10 14:16:03 UTC; husey
Repository: CRAN
Date/Publication: 2021-01-13 18:30:02 UTC

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Package RstoxData updated to version 1.0.23 with previous version 1.0.17 dated 2020-11-23

Title: Tools to Read and Manipulate Fisheries Data
Description: Set of tools to read and manipulate various data formats for fisheries. Mainly catered towards scientific trawl survey sampling ('biotic') data, acoustic trawl data, and commercial fishing catch ('landings') data. Among the supported data formats are the data products from the Norwegian Institute Marine Research ('IMR') and the International Council for the Exploration of the Sea (ICES).
Author: Ibrahim Umar [cre, aut], Sindre Vatnehol [aut], Arne Johannes Holmin [aut], Edvin Fuglebakk [aut], Espen Johnsen [aut], Norwegian Institute of Marine Research [cph, fnd]
Maintainer: Ibrahim Umar <ibrahim.umar@hi.no>

Diff between RstoxData versions 1.0.17 dated 2020-11-23 and 1.0.23 dated 2021-01-13

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Package modeltests updated to version 0.1.4 with previous version 0.1.3 dated 2020-09-11

Title: Testing Infrastructure for Broom Model Generics
Description: Provides a number of testthat tests that can be used to verify that tidy(), glance() and augment() methods meet consistent specifications. This allows methods for the same generic to be spread across multiple packages, since all of those packages can make the same guarantees to users about returned objects.
Author: Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>), Simon Couch [aut]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

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Package magick updated to version 2.6.0 with previous version 2.5.2 dated 2020-11-10

Title: Advanced Graphics and Image-Processing in R
Description: Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment. The latest version of the package includes a native graphics device for creating in-memory graphics or drawing onto images using pixel coordinates.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package IndexNumber updated to version 1.3.1 with previous version 1.3 dated 2021-01-07

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 hdpca updated to version 1.1.5 with previous version 1.1.3 dated 2019-10-23

Title: Principal Component Analysis in High-Dimensional Data
Description: In high-dimensional settings: Estimate the number of distant spikes based on the Generalized Spiked Population (GSP) model. Estimate the population eigenvalues, angles between the sample and population eigenvectors, correlations between the sample and population PC scores, and the asymptotic shrinkage factors. Adjust the shrinkage bias in the predicted PC scores. Dey, R. and Lee, S. (2019) <doi:10.1016/j.jmva.2019.02.007>.
Author: Rounak Dey, Seunggeun Lee
Maintainer: Rounak Dey <deyrnk@umich.edu>

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Package detrendr updated to version 0.6.11 with previous version 0.6.9 dated 2020-09-03

Title: Detrend Images
Description: Detrend fluorescence microscopy image series for fluorescence fluctuation and correlation spectroscopy ('FCS' and 'FFS') analysis. This package contains functionality published in a 2016 paper <doi:10.1093/bioinformatics/btx434> but it has been extended since then with the Robin Hood algorithm and thus contains unpublished work.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>), Luis Alvarez [ctb, cph] (<https://orcid.org/0000-0003-1316-1906>), Sergi Padilla-Parra [ctb, ths, cph] (<https://orcid.org/0000-0002-8010-9481>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package chicane updated to version 0.1.3 with previous version 0.1.2 dated 2020-07-27

Title: Capture Hi-C Analysis Engine
Description: Toolkit for processing and calling interactions in capture Hi-C data. Converts BAM files into counts of reads linking restriction fragments, and identifies pairs of fragments that interact more than expected by chance. Significant interactions are identified by comparing the observed read count to the expected background rate from a count regression model.
Author: Erle Holgersen [aut, cre], Olivia Leavy [aut], Olivia Fletcher [aut], Frank Dudbridge [aut], Syed Haider [aut]
Maintainer: Erle Holgersen <erle.holgersen@gmail.com>

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Package AzureGraph updated to version 1.2.0 with previous version 1.1.2 dated 2020-10-12

Title: Simple Interface to 'Microsoft Graph'
Description: A simple interface to the 'Microsoft Graph' API <https://docs.microsoft.com/en-us/graph/overview>. 'Graph' is a comprehensive framework for accessing data in various online Microsoft services. Currently, this package aims to provide an R interface only to the 'Azure Active Directory' part, with a view to supporting interoperability of R and 'Azure': users, groups, registered apps and service principals. However it can be easily extended to cover other services. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package read.gt3x updated to version 1.0.2 with previous version 1.0.1 dated 2021-01-08

Title: Parse 'ActiGraph' 'GT3X'/'GT3X+' 'Accelerometer' Data
Description: Implements a high performance C++ parser for 'ActiGraph' 'GT3X'/'GT3X+' data format (with extension '.gt3x') for 'accelerometer' samples. Activity samples can be easily read into a matrix or data.frame. This allows for storing the raw 'accelerometer' samples in the original binary format to reserve space.
Author: Tuomo Nieminen [aut, cre], John Muschelli [aut] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: Tuomo Nieminen <tuomo.a.nieminen@gmail.com>

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Package hms updated to version 1.0.0 with previous version 0.5.3 dated 2020-01-08

Title: Pretty Time of Day
Description: Implements an S3 class for storing and formatting time-of-day values, based on the 'difftime' class.
Author: Kirill Müller [aut, cre], R Consortium [fnd], RStudio [fnd]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package geojsonio updated to version 0.9.4 with previous version 0.9.2 dated 2020-04-07

Title: Convert Data from and to 'GeoJSON' or 'TopoJSON'
Description: Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.
Author: Scott Chamberlain [aut, cre], Andy Teucher [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package gdm updated to version 1.4.2.1 with previous version 1.4.2 dated 2020-04-22

Title: Generalized Dissimilarity Modeling
Description: A toolkit with functions to fit, plot, summarize, and apply Generalized Dissimilarity Models.
Author: Matthew C. Fitzpatrick, Karel Mokany, Glenn Manion, Matthew Lisk, Simon Ferrier, Diego Nieto-Lugilde
Maintainer: Matthew C. Fitzpatrick <mfitzpatrick@umces.edu>

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Package wrMisc updated to version 1.5.1 with previous version 1.5.0 dated 2020-12-07

Title: Analyze Experimental High-Throughput (Omics) Data
Description: The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions. Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc. Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM) for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates). Other functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc. Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of large data-sets by combining very close values. Many times large experimental datasets need some additional filtering, adequate functions are provided. Batch reading (or writing) of sets of files and combining data to arrays is supported, too. Convenient data normalization is supported in various different modes, parameter estimation via permutations or boot-strap as well as flexible testing of multiple pair-wise combinations using the framework of 'limma' is provided, too.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>

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Package rclipboard updated to version 0.1.3 with previous version 0.1.2 dated 2019-07-02

Title: Shiny/R Wrapper for 'clipboard.js'
Description: Leverages the functionality of 'clipboard.js', a JavaScript library for HMTL5-based copy to clipboard from web pages (see <https://clipboardjs.com> for more information), and provides a reactive copy-to-clipboard UI button component, called 'rclipButton', for 'shiny' R applications.
Author: Sebastien Bihorel
Maintainer: Sebastien Bihorel <sb.pmlab@gmail.com>

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Package rBMF updated to version 1.1 with previous version 1.0 dated 2020-06-25

Title: Boolean Matrix Factorization
Description: Provides four boolean matrix factorization (BMF) methods. BMF has many applications like data mining and categorical data analysis. BMF is also known as boolean matrix decomposition (BMD) and was found to be an NP-hard (non-deterministic polynomial-time) problem. Currently implemented methods are 'Asso' Miettinen, Pauli and others (2008) <doi:10.1109/TKDE.2008.53>, 'GreConD' R. Belohlavek, V. Vychodil (2010) <doi:10.1016/j.jcss.2009.05.002> , 'GreConDPlus' R. Belohlavek, V. Vychodil (2010) <doi:10.1016/j.jcss.2009.05.002> , 'topFiberM' A. Desouki, M. Roeder, A. Ngonga (2019) <arXiv:1903.10326>.
Author: Abdelmoneim Amer Desouki
Maintainer: Abdelmoneim Amer Desouki <desouki@hhu.de>

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Package psfmi updated to version 0.7.1 with previous version 0.5.0 dated 2020-09-24

Title: Prediction Model Selection and Performance Evaluation in Multiple Imputed Datasets
Description: Pooling, backward and forward selection of logistic and Cox regression models in multiply imputed datasets. Backward and forward selection can be done from the pooled model using Rubin's Rules (RR), the D1, D2, D3 and the median p-values method. This is also possible for Mixed models. The models can contain continuous, dichotomous, categorical and restricted cubic spline predictors and interaction terms between all these type of predictors. The stability of the models can be evaluated using bootstrapping and cluster bootstrapping. The package further contains functions to pool the model performance as ROC/AUC, R-squares, scaled Brier score and calibration plots for logistic regression models. Internal validation can be done with cross-validation or bootstrapping. The adjusted intercept after shrinkage of pooled regression coefficients can be obtained. Backward and forward selection as part of internal validation is possible. A function to externally validate logistic prediction models in multiple imputed datasets is available and a function to compare models. Eekhout (2017) <doi:10.1186/s12874-017-0404-7>. Wiel (2009) <doi:10.1093/biostatistics/kxp011>. Marshall (2009) <doi:10.1186/1471-2288-9-57>.
Author: Martijn Heymans [cre, aut] (<https://orcid.org/0000-0002-3889-0921>), Iris Eekhout [ctb]
Maintainer: Martijn Heymans <mw.heymans@amsterdamumc.nl>

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Package infer updated to version 0.5.4 with previous version 0.5.3 dated 2020-07-14

Title: Tidy Statistical Inference
Description: The objective of this package is to perform inference using an expressive statistical grammar that coheres with the tidy design framework.
Author: Andrew Bray [aut, cre], Chester Ismay [aut] (<https://orcid.org/0000-0003-2820-2547>), Evgeni Chasnovski [aut] (<https://orcid.org/0000-0002-1617-4019>), Ben Baumer [aut] (<https://orcid.org/0000-0002-3279-0516>), Mine Cetinkaya-Rundel [aut] (<https://orcid.org/0000-0001-6452-2420>), Simon Couch [ctb], Ted Laderas [ctb] (<https://orcid.org/0000-0002-6207-7068>), Nick Solomon [ctb], Johanna Hardin [ctb], Albert Y. Kim [ctb] (<https://orcid.org/0000-0001-7824-306X>), Neal Fultz [ctb], Doug Friedman [ctb], Richie Cotton [ctb] (<https://orcid.org/0000-0003-2504-802X>), Brian Fannin [ctb]
Maintainer: Andrew Bray <abray@reed.edu>

Diff between infer versions 0.5.3 dated 2020-07-14 and 0.5.4 dated 2021-01-13

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Package bnma updated to version 1.4.0 with previous version 1.3.0 dated 2020-08-27

Title: Bayesian Network Meta-Analysis using 'JAGS'
Description: Network meta-analyses using Bayesian framework following Dias et al. (2013) <DOI:10.1177/0272989X12458724>. Based on the data input, creates prior, model file, and initial values needed to run models in 'rjags'. Able to handle binomial, normal and multinomial arm-level data. Can handle multi-arm trials and includes methods to incorporate covariate and baseline risk effects. Includes standard diagnostics and visualization tools to evaluate the results.
Author: Michael Seo [aut, cre], Christopher Schmid [aut]
Maintainer: Michael Seo <swj8874@gmail.com>

Diff between bnma versions 1.3.0 dated 2020-08-27 and 1.4.0 dated 2021-01-13

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New package valmetrics with initial version 1.0.0
Package: valmetrics
Type: Package
Title: Metrics and Plots for Model Evaluation
Version: 1.0.0
Authors@R: c(person("Kristin", "Piikki", email = "kristin.piikki@slu.se", role = c("aut", "cre", "cph") ), person("Johanna", "Wetterlind", email = "johanna.wetterlind@slu.se", role = c("aut", "cph") ), person("Mats", "Soderstrom", email = "mats.soderstrom@slu.se", role = c("aut", "cph") ), person("Bo", "Stenberg", email = "bo.stenberg@slu.se", role = c("aut", "cph") ) )
Maintainer: Kristin Piikki <kristin.piikki@slu.se>
Description: Functions for metrics and plots for model evaluation. Based on vectors of observed and predicted values. Method: Kristin Piikki, Johanna Wetterlind, Mats Soderstrom and Bo Stenberg (2021). <doi:10.1111/SUM.12694>.
Depends: R (>= 4.0.0)
Suggests: roxygen2, knitr, markdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-09 16:51:10 UTC; piikki
Author: Kristin Piikki [aut, cre, cph], Johanna Wetterlind [aut, cph], Mats Soderstrom [aut, cph], Bo Stenberg [aut, cph]
Repository: CRAN
Date/Publication: 2021-01-13 15:30:02 UTC

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Package rscorecard updated to version 0.18.0 with previous version 0.17.0 dated 2020-12-05

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre] (<https://orcid.org/0000-0002-0337-7415>)
Maintainer: Benjamin Skinner <btskinner@coe.ufl.edu>

Diff between rscorecard versions 0.17.0 dated 2020-12-05 and 0.18.0 dated 2021-01-13

 DESCRIPTION   |    6 +++---
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New package listcompr with initial version 0.1.0
Package: listcompr
Version: 0.1.0
Date: 2021-01-10
Title: List Comprehension for R
Author: Patrick Roocks <mail@p-roocks.de>
Maintainer: Patrick Roocks <mail@p-roocks.de>
Description: Syntactic shortcuts for creating synthetic lists, vectors, and data frames using list comprehension.
URL: https://github.com/patrickroocks/listcompr
Depends: R (>= 3.1.2)
License: GPL (>= 2)
LazyData: true
Suggests: testthat, rmarkdown, knitr
Collate: 'listcompr.r' 'gen-list.r'
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-01-10 12:09:52 UTC; patrick
Repository: CRAN
Date/Publication: 2021-01-13 16:00:02 UTC

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New package html5 with initial version 0.1.0
Package: html5
Type: Package
Title: Generates HTML Tag Strings for HTML5 Elements Included in Mozilla's Documentation of HTML5
Version: 0.1.0
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>
Description: Generates HTML tag strings for HTML5 elements included in Mozilla's documentation of HTML5. Attributes are passed as parameters. If the attribute name is a reserved R word, the attribute is suffixed with _attr (ex: for_attr). To declare a DOCTYPE, wrap html with function html_doc(). Mozilla's documentation for HTML5 is available here: <https://developer.mozilla.org/en-US/docs/Web/HTML/Element>. Elements marked as obsolete are not included.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-09 22:54:08 UTC; tim
Repository: CRAN
Date/Publication: 2021-01-13 15:50:02 UTC

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Package googleCloudRunner updated to version 0.4.0 with previous version 0.3.0 dated 2020-09-10

Title: R Scripts in the Google Cloud via Cloud Run, Cloud Build and Cloud Scheduler
Description: Tools to easily enable R scripts in the Google Cloud Platform. Utilise cloud services such as Cloud Run <https://cloud.google.com/run/> for R over HTTP, Cloud Build <https://cloud.google.com/cloud-build/> for Continuous Delivery and Integration services and Cloud Scheduler <https://cloud.google.com/scheduler/> for scheduled scripts.
Author: Mark Edmondson [aut, cre] (<https://orcid.org/0000-0002-8434-3881>), Sunholo Ltd [cph]
Maintainer: Mark Edmondson <r@sunholo.com>

Diff between googleCloudRunner versions 0.3.0 dated 2020-09-10 and 0.4.0 dated 2021-01-13

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New package ggvenn with initial version 0.1.8
Package: ggvenn
Title: Draw Venn Diagram by 'ggplot2'
Version: 0.1.8
Authors@R: person(given = "Linlin", family = "Yan", role = c("aut", "cre"), email = "yanlinlin82@gmail.com", comment = c(ORCID = "0000-0002-4990-6239"))
Author: Linlin Yan [aut, cre] (<https://orcid.org/0000-0002-4990-6239>)
Maintainer: Linlin Yan <yanlinlin82@gmail.com>
Description: An easy-to-use way to draw pretty venn diagram by 'ggplot2'.
Depends: dplyr, grid, ggplot2
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-09 16:07:45 UTC; yanll
Repository: CRAN
Date/Publication: 2021-01-13 15:30:09 UTC

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Package pROC updated to version 1.17.0.1 with previous version 1.16.2 dated 2020-03-19

Title: Display and Analyze ROC Curves
Description: Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.
Author: Xavier Robin [cre, aut] (<https://orcid.org/0000-0002-6813-3200>), Natacha Turck [aut], Alexandre Hainard [aut], Natalia Tiberti [aut], Frédérique Lisacek [aut], Jean-Charles Sanchez [aut], Markus Müller [aut], Stefan Siegert [ctb] (Fast DeLong code), Matthias Doering [ctb] (Hand & Till Multiclass)
Maintainer: Xavier Robin <pROC-cran@xavier.robin.name>

Diff between pROC versions 1.16.2 dated 2020-03-19 and 1.17.0.1 dated 2021-01-13

 DESCRIPTION                                                            |    8 
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 NAMESPACE                                                              |    1 
 NEWS                                                                   |   13 
 R/auc.R                                                                |    4 
 R/bootstrap.R                                                          |   46 
 R/coords.R                                                             |  326 
 R/ggroc.R                                                              |   10 
 R/lines.roc.R                                                          |    2 
 R/multiclass.R                                                         |    5 
 R/plot.roc.R                                                           |    6 
 R/power.roc.test.R                                                     |   22 
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 man/ci.sp.Rd                                                           |    8 
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 man/multiclass.Rd                                                      |    4 
 man/pROC-package.Rd                                                    |   15 
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 man/plot.roc.Rd                                                        |    2 
 man/power.roc.test.Rd                                                  |   14 
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 man/roc.test.Rd                                                        |   10 
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Package jpmesh updated to version 2.0.1 with previous version 2.0.0 dated 2020-11-26

Title: Utilities for Japanese Mesh Code
Description: Helpful functions for using mesh code (80km to 100m) data in Japan. Visualize mesh code using 'ggplot2' and 'leaflet', etc.
Author: Shinya Uryu [aut, cre] (<https://orcid.org/0000-0002-0493-6186>)
Maintainer: Shinya Uryu <suika1127@gmail.com>

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Package importinegi updated to version 1.1.3 with previous version 1.1.2 dated 2020-05-04

Title: Download and Manage Open Data from INEGI
Description: Download and manage data sets of statistical projects and geographic data created by Instituto Nacional de Estadistica y Geografia (INEGI). See <https://www.inegi.org.mx/>.
Author: Cesar Renteria [aut, cre]
Maintainer: Cesar Renteria <cesar.renteria@cide.edu>

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Package GLMMRR updated to version 0.5.0 with previous version 0.2.0 dated 2016-08-08

Title: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data
Description: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data. Includes Cauchit, Compl. Log-Log, Logistic, and Probit link functions for Bernoulli Distributed RR data. RR Designs: Warner, Forced Response, Unrelated Question, Kuk, Crosswise, and Triangular. Reference: Fox, J-P, Veen, D. and Klotzke, K. (2018). Generalized Linear Mixed Models for Randomized Responses. Methodology. <doi:10.1027/1614-2241/a000153>.
Author: Jean-Paul Fox [aut], Konrad Klotzke [aut], Duco Veen [aut]
Maintainer: Konrad Klotzke <omd.bms.utwente.stats@gmail.com>

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Package BeSS updated to version 2.0.0 with previous version 1.0.9 dated 2020-06-30

Title: Best Subset Selection /Ridge Regression in Linear, Logistic, Poisson and CoxPH Models
Description: An implementation of best subset selection in generalized linear model and Cox proportional hazard model via the primal dual active set algorithm proposed by Wen, C., Zhang, A., Quan, S. and Wang, X. (2020) <doi:10.18637/jss.v094.i04>. The algorithm formulates coefficient parameters and residuals as primal and dual variables and utilizes efficient active set selection strategies based on the complementarity of the primal and dual variables.
Author: Canhong Wen [aut, cre], Aijun Zhang [aut], Shijie Quan [aut], Liyuan Hu [aut], Kangkang Jiang [aut], Yanhang Zhang [aut], Jin Zhu [aut], Xueqin Wang [aut]
Maintainer: Canhong Wen <wencanhong@gmail.com>

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Package windex updated to version 2.0.1 with previous version 2.0 dated 2020-10-19

Title: Analysing Convergent Evolution using the Wheatsheaf Index
Description: Analysing convergent evolution using the Wheatsheaf index, described in Arbuckle et al. (2014) <doi: 10.1111/2041-210X.12195>, and some other random but perhaps useful functions.
Author: Kevin Arbuckle and Amanda Minter
Maintainer: Kevin Arbuckle <kevin.arbuckle@swansea.ac.uk>

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Package svars updated to version 1.3.6 with previous version 1.3.5 dated 2020-11-23

Title: Data-Driven Identification of SVAR Models
Description: Implements data-driven identification methods for structural vector autoregressive (SVAR) models. Based on an existing VAR model object (provided by e.g. VAR() from the 'vars' package), the structural impact matrix is obtained via data-driven identification techniques (i.e. changes in volatility (Rigobon, R. (2003) <doi:10.1162/003465303772815727>), patterns of GARCH (Normadin, M., Phaneuf, L. (2004) <doi:10.1016/j.jmoneco.2003.11.002>), independent component analysis (Matteson, D. S, Tsay, R. S., (2013) <doi:10.1080/01621459.2016.1150851>), least dependent innovations (Herwartz, H., Ploedt, M., (2016) <doi:10.1016/j.jimonfin.2015.11.001>), smooth transition in variances (Luetkepohl, H., Netsunajev, A. (2017) <doi:10.1016/j.jedc.2017.09.001>) or non-Gaussian maximum likelihood (Lanne, M., Meitz, M., Saikkonen, P. (2017) <doi:10.1016/j.jeconom.2016.06.002>)).
Author: Alexander Lange [aut, cre], Bernhard Dalheimer [aut], Helmut Herwartz [aut], Simone Maxand [aut], Hannes Riebl [ctb]
Maintainer: Alexander Lange <alexander.lange@uni-goettingen.de>

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Package politeness updated to version 0.7.6 with previous version 0.7.5 dated 2020-11-16

Title: Detecting Politeness Features in Text
Description: Detecting markers of politeness in English natural language. This package allows researchers to easily visualize and quantify politeness between groups of documents. This package combines prior research on the linguistic markers of politeness. We thank the Spencer Foundation, the Hewlett Foundation, and Harvard's Institute for Quantitative Social Science for support.
Author: Mike Yeomans, Alejandro Kantor, Dustin Tingley
Maintainer: Mike Yeomans <mk.yeomans@gmail.com>

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Package msaeDB updated to version 0.1.1 with previous version 0.1.0 dated 2021-01-09

Title: Difference Benchmarking for Multivariate Small Area Estimation
Description: Implements Benchmarking Method for Multivariate Small Area Estimation under Fay Herriot Model. Multivariate Small Area Estimation (MSAE) is a development of Univariate Small Area Estimation that considering the correlation among response variables and borrowing the strength from related areas and auxiliary variables to increase the effectiveness of sample size, the multivariate model in this package is based on multivariate model 1 proposed by Roberto Benavent and Domingo Morales (2015) <doi:10.1016/j.csda.2015.07.013>. Benchmarking in Small Area Estimation is a modification of Small Area Estimation model to guarantee that the aggregate weighted mean of the county predictors equals the corresponding weighted mean of survey estimates. Difference Benchmarking is the simplest benchmarking method but widely used by multiplying empirical best linear unbiased prediction (EBLUP) estimator by the common adjustment factors (J.N.K Rao and Isabel Molina, 2015).
Author: Zaza Yuda Perwira, Azka Ubaidillah
Maintainer: Zaza Yuda Perwira <221710086@stis.ac.id>

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Package KeyboardSimulator updated to version 2.6.0 with previous version 2.5.1 dated 2020-07-10

Title: Keyboard and Mouse Input Simulation for Windows OS
Description: Control your keyboard and mouse with R code by simulating key presses and mouse clicks. The input simulation is implemented with the Windows API.
Author: Jim Chen [aut, cre], Jeff Keller [aut, ctb], Garry Hopwood [ctb], Chieh Hsu [ctb]
Maintainer: Jim Chen <jim71183@gmail.com>

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Package gamma updated to version 1.0.1 with previous version 1.0.0 dated 2020-09-18

Title: Dose Rate Estimation from in-Situ Gamma-Ray Spectrometry Measurements
Description: Process in-situ Gamma-Ray Spectrometry for Luminescence Dating. This package allows to import, inspect and correct the energy shifts of Gamma-ray spectra. It provides methods for estimating the gamma dose rate by the use of a calibration curve. The package only supports Canberra CNF and TKA files.
Author: Nicolas Frerebeau [aut] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [aut, cre] (<https://orcid.org/0000-0001-7503-8685>), Guilhem Paradol [aut] (<https://orcid.org/0000-0002-8561-4903>), Magali Rizza [ctb] (<https://orcid.org/0000-0003-2364-5621>), Christelle Lahaye [ctb] (<https://orcid.org/0000-0003-2215-9015>), Université Bordeaux Montaigne [cph, fnd], CNRS [fnd], LabEx Sciences archéologiques de Bordeaux [fnd], Idex Aix-Marseille [fnd]
Maintainer: Brice Lebrun <brice.lebrun@u-bordeaux-montaigne.fr>

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Package doc2concrete updated to version 0.5.2 with previous version 0.5.0 dated 2020-11-16

Title: Measuring Concreteness in Natural Language
Description: Models for detecting concreteness in natural language. This package is built in support of Yeomans (2021) <doi:10.1016/j.obhdp.2020.10.008>, which reviews linguistic models of concreteness in several domains. Here, we provide an implementation of the best-performing domain-general model (from Brysbaert et al., (2014) <doi:10.3758/s13428-013-0403-5>) as well as two pre-trained models for the feedback and plan-making domains.
Author: Mike Yeomans
Maintainer: Mike Yeomans <mk.yeomans@gmail.com>

Diff between doc2concrete versions 0.5.0 dated 2020-11-16 and 0.5.2 dated 2021-01-13

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Package distill updated to version 1.2 with previous version 1.1 dated 2020-12-02

Title: 'R Markdown' Format for Scientific and Technical Writing
Description: Scientific and technical article format for the web. 'Distill' articles feature attractive, reader-friendly typography, flexible layout options for visualizations, and full support for footnotes and citations.
Author: JJ Allaire [aut, cre] (<https://orcid.org/0000-0003-0174-9868>), Rich Iannone [aut], Alison Presmanes Hill [aut] (<https://orcid.org/0000-0002-8082-1890>), Yihui Xie [aut] (<https://orcid.org/0000-0003-0645-5666>), RStudio, Inc. [cph], Google LLC [ctb, cph] (https://distill.pub/guide/), Nick Williams [ctb, cph] (https://wicky.nillia.ms/headroom.js/), Denis Demchenko [ctb, cph] (https://github.com/lancedikson/bowser), The Polymer Authors [ctb, cph] (https://www.webcomponents.org/polyfills/), Gábor Csárdi [ctb, cph] (whoami), JooYoung Seo [ctb] (<https://orcid.org/0000-0002-4064-6012>)
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between distill versions 1.1 dated 2020-12-02 and 1.2 dated 2021-01-13

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Package ftrCOOL (with last version 1.1.1) was removed from CRAN

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

2021-01-12 1.1.1
2020-12-16 1.1.0
2020-08-31 0.1.0

Permanent link
Package sybilcycleFreeFlux updated to version 2.0.2 with previous version 2.0.1 dated 2019-12-15

Title: Cycle-Free Flux Balance Analysis (CycleFreeFlux)
Description: Implement cycle-Free flux balance analysis (CycleFreeFlux), cycle-free flux variability, and Random Sampling of solution space. Desouki, A. A., Jarre, F., Gelius-Dietrich, G., & Lercher, M. J. (2015). CycleFreeFlux: efficient removal of thermodynamically infeasible loops from flux distributions. Bioinformatics, 31(13), 2159-2165. <doi:10.1093/bioinformatics/btv096>. Flux balance analysis is a technique to find fluxes in metabolic models at steady state. It is described in Orth, J.D., Thiele, I. and Palsson, B.O. What is flux balance analysis? Nat. Biotech. 28, 245-248 (2010).
Author: Abdelmoneim Amer Desouki [aut, cre]
Maintainer: Abdelmoneim Amer Desouki <abdelmoneim.amer@uni-duesseldorf.de>

Diff between sybilcycleFreeFlux versions 2.0.1 dated 2019-12-15 and 2.0.2 dated 2021-01-13

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Package SoupX updated to version 1.5.0 with previous version 1.4.8 dated 2020-10-15

Title: Single Cell mRNA Soup eXterminator
Description: Quantify, profile and remove ambient mRNA contamination (the "soup") from droplet based single cell RNA-seq experiments. Implements the method described in Young et al. (2018) <doi:10.1101/303727>.
Author: Matthew Daniel Young
Maintainer: Matthew Daniel Young <my4@sanger.ac.uk>

Diff between SoupX versions 1.4.8 dated 2020-10-15 and 1.5.0 dated 2021-01-13

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New package LTRCtrees with initial version 1.1.1
Package: LTRCtrees
Type: Package
Title: Survival Trees to Fit Left-Truncated and Right-Censored and Interval-Censored Survival Data
Version: 1.1.1
Description: Recursive partition algorithms designed for fitting survival tree with left-truncated and right censored (LTRC) data, as well as interval-censored data. The LTRC trees can also be used to fit survival tree with time-varying covariates.
Imports: partykit (>= 1.2.0), rpart, survival, inum, icenReg, Icens, interval
biocViews:
Suggests: Formula, rpart.plot, knitr, rmarkdown
Depends: R (>= 3.2.0)
License: GPL-3
LazyData: TRUE
Author: Wei Fu, Jeffrey Simonoff, Wenbo Jing
Maintainer: Wenbo Jing <wj2093@stern.nyu.edu>
VignetteBuilder: knitr, rmarkdown
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-11 01:31:53 UTC; WENBO JING
Repository: CRAN
Date/Publication: 2021-01-13 13:00:02 UTC

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Package JMbayes2 updated to version 0.1-2 with previous version 0.1-1 dated 2021-01-11

Title: Extended Joint Models for Longitudinal and Time-to-Event Data
Description: Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).
Author: Dimitris Rizopoulos [aut, cre] (<https://orcid.org/0000-0001-9397-0900>), Grigorios Papageorgiou [aut], Pedro Miranda Afonso [aut]
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

Diff between JMbayes2 versions 0.1-1 dated 2021-01-11 and 0.1-2 dated 2021-01-13

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Package varycoef updated to version 0.3.0 with previous version 0.2.12 dated 2020-07-18

Title: Modeling Spatially Varying Coefficients
Description: Implements a maximum likelihood estimation (MLE) method for estimation and prediction of Gaussian process-based spatially varying coefficient (SVC) models (Dambon et al. (2021a) <doi:10.1016/j.spasta.2020.100470>). Covariance tapering (Furrer et al. (2006) <doi:10.1198/106186006X132178>) can be applied such that the method scales to large data. Further, it implements a joint variable selection of the fixed and random effects (Dambon et al. (2021b) <arXiv:2101.01932>).
Author: Jakob A. Dambon [aut, cre] (<https://orcid.org/0000-0001-5855-2017>), Fabio Sigrist [ctb] (<https://orcid.org/0000-0002-3994-2244>), Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>)
Maintainer: Jakob A. Dambon <jakob.dambon@math.uzh.ch>

Diff between varycoef versions 0.2.12 dated 2020-07-18 and 0.3.0 dated 2021-01-13

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Package trackdf updated to version 0.2.2 with previous version 0.2.1 dated 2019-08-04

Title: Data Frame Class for Tracking Data
Description: Data frame class for storing collective movement data (e.g. fish schools, ungulate herds, baboon troops) collected from GPS trackers or computer vision tracking software.
Author: Simon Garnier [aut, cre] (<https://orcid.org/0000-0002-3886-3974>)
Maintainer: Simon Garnier <garnier@njit.edu>

Diff between trackdf versions 0.2.1 dated 2019-08-04 and 0.2.2 dated 2021-01-13

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New package VancouvR with initial version 0.1.2
Package: VancouvR
Type: Package
Title: Access the 'City of Vancouver' Open Data API
Version: 0.1.2
Author: Jens von Bergmann
Maintainer: Jens von Bergmann <jens@mountainmath.ca>
Description: Wrapper around the 'City of Vancouver' Open Data API <https://opendata.vancouver.ca/api/v2/console> to simplify and standardize access to 'City of Vancouver' open data. Functionality to list the data catalogue and access data and geographic records.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 7.1.0.9000
Imports: dplyr, httr, rlang, urltools, readr, digest, sf, tibble, purrr
Suggests: knitr, rmarkdown, ggplot2, lwgeom, tidyr
VignetteBuilder: knitr
URL: https://github.com/mountainMath/VancouvR, https://mountainmath.github.io/VancouvR/
BugReports: https://github.com/mountainMath/VancouvR/issues
Packaged: 2021-01-12 22:42:18 UTC; jens
Repository: CRAN
Date/Publication: 2021-01-13 11:10:05 UTC

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New package SparseTSCGM with initial version 4.0
Package: SparseTSCGM
Type: Package
Title: Sparse Time Series Chain Graphical Models
Authors@R: c(person("Fentaw", "Abegaz", role=c("aut","cre"), email="f.abegaz.yazew@rug.nl"), person("Ernst", "Wit", role = "aut"))
Version: 4.0
Date: 2021-01-12
Depends: R(>= 3.3.2)
Imports: glasso,longitudinal, huge, MASS, mvtnorm, network, abind, stats
Author: Fentaw Abegaz [aut, cre], Ernst Wit [aut]
Maintainer: Fentaw Abegaz <f.abegaz.yazew@rug.nl>
Description: Computes sparse vector autoregressive coefficients and precision matrices for time series chain graphical models. Fentaw Abegaz and Ernst Wit (2013) <doi:10.1093/biostatistics/kxt005>.
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2021-01-12 22:59:20 UTC; Fentaw
Repository: CRAN
Date/Publication: 2021-01-13 11:10:08 UTC

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Package sampling updated to version 2.9 with previous version 2.8 dated 2016-12-22

Title: Survey Sampling
Description: Functions to draw random samples using different sampling schemes are available. Functions are also provided to obtain (generalized) calibration weights, different estimators, as well some variance estimators.
Author: Yves Till<e9> <yves.tille@unine.ch>, Alina Matei <alina.matei@unine.ch>
Maintainer: Alina Matei <alina.matei@unine.ch>

Diff between sampling versions 2.8 dated 2016-12-22 and 2.9 dated 2021-01-13

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New package NFCP with initial version 0.1.0
Package: NFCP
Title: N-Factor Commodity Pricing Through Term Structure Estimation
Version: 0.1.0
Authors@R: c(person("Thomas", "Aspinall", email = "tomaspinall2512@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6968-1989")), person("Adrian", "Gepp", email = "adgepp@bond.edu.au", role = c("aut"), comment = c(ORCID = "0000-0003-1666-5501")), person("Geoff", "Harris", email = "gharris@bond.edu.au", role = c("aut"), comment = c(ORCID = "0000-0003-4284-8619")), person("Simone", "Kelly", email = "skelly@bond.edu.au", role = c("aut"), comment = c(ORCID = "0000-0002-6528-8557")), person("Colette", "Southam", email = "csoutham@bond.edu.au", role = c("aut"), comment = c(ORCID = "0000-0001-7263-2347")), person("Bruce", "Vanstone", email = "bvanston@bond.edu.au", role = c("aut"), comment = c(ORCID = "0000-0002-3977-2468")) )
Description: Commodity pricing models are (systems of) stochastic differential equations that are utilized for the valuation and hedging of commodity contingent claims (i.e. derivative products on the commodity) and other commodity related investments. Commodity pricing models that capture market dynamics are of great importance to commodity market participants in order to exercise sound investment and risk-management strategies. Parameters of commodity pricing models are estimated through maximum likelihood estimation, using available term structure futures data of a commodity. 'NFCP' (n-factor commodity pricing) provides a framework for the modeling, parameter estimation, probabilistic forecasting, option valuation and simulation of commodity prices through state space and Monte Carlo methods, risk-neutral valuation and Kalman filtering. 'NFCP' allows the commodity pricing model to consist of n correlated factors, with both random walk and mean-reverting elements. The n-factor commodity pricing model framework was first presented in the work of Cortazar and Naranjo (2006) <doi:10.1002/fut.20198>. Examples presented in 'NFCP' replicate the two-factor crude oil commodity pricing model presented in the prolific work of Schwartz and Smith (2000) <doi:10.1287/mnsc.46.7.893.12034> with the approximate term structure futures data applied within this study provided in the 'NFCP' package.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9000
RdMacros: mathjaxr, Rdpack
Suggests: OptionPricing, knitr, rmarkdown
Imports: FKF.SP, MASS, numDeriv, parallel, rgenoud, stats, mathjaxr, Rdpack, curl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-09 04:05:01 UTC; Thomas Aspinall
Author: Thomas Aspinall [aut, cre] (<https://orcid.org/0000-0002-6968-1989>), Adrian Gepp [aut] (<https://orcid.org/0000-0003-1666-5501>), Geoff Harris [aut] (<https://orcid.org/0000-0003-4284-8619>), Simone Kelly [aut] (<https://orcid.org/0000-0002-6528-8557>), Colette Southam [aut] (<https://orcid.org/0000-0001-7263-2347>), Bruce Vanstone [aut] (<https://orcid.org/0000-0002-3977-2468>)
Maintainer: Thomas Aspinall <tomaspinall2512@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-13 12:00:06 UTC

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New package mediateP with initial version 0.1.0
Package: mediateP
Type: Package
Title: Mediation Analysis Based on the Product Method
Version: 0.1.0
Author: Chao Cheng
Maintainer: Chao Cheng <c.cheng@yale.edu>
Depends: R (>= 3.6.0)
Imports: boot
Description: Functions for calculating the point and interval estimates of the natural indirect effect (NIE), total effect (TE), and mediation proportion (MP), based on the product approach. We perform the methods considered in Chao Cheng, Donna Spiegelman, and Fan Li. (2020+) <https://github.com/chaochengstat/chaochengstat.github.io/blob/master/manuscript_Epidemiologic_Methods.pdf>.
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-08 20:10:09 UTC; chaocheng
Repository: CRAN
Date/Publication: 2021-01-13 11:30:02 UTC

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Package mdftracks updated to version 0.2.1 with previous version 0.2.0 dated 2017-02-06

Title: Read and Write 'MTrackJ Data Files'
Description: 'MTrackJ' is an 'ImageJ' plugin for motion tracking and analysis (see <https://imagescience.org/meijering/software/mtrackj/>). This package reads and writes 'MTrackJ Data Files' ('.mdf', see <https://imagescience.org/meijering/software/mtrackj/format/>). It supports 2D data and read/writes cluster, point, and channel information. If desired, generates track identifiers that are unique over the clusters. See the project page for more information and examples.
Author: Gerhard Burger [aut, cre] (<https://orcid.org/0000-0003-1062-5576>)
Maintainer: Gerhard Burger <burger.ga@gmail.com>

Diff between mdftracks versions 0.2.0 dated 2017-02-06 and 0.2.1 dated 2021-01-13

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New package fullROC with initial version 0.1.0
Package: fullROC
Type: Package
Title: Plot Full ROC Curves using Eyewitness Lineup Data
Version: 0.1.0
Authors@R: person("Yueran", "Yang", email = "yuerany@unr.edu", role = c("aut", "cre"))
Description: Enable researchers to adjust identification rates using the 1/(lineup size) method, generate the full receiver operating characteristic (ROC) curves, and statistically compare the area under the curves (AUC). References: Yueran Yang & Andrew Smith. (2020). "fullROC: An R package for generating and analyzing eyewitness-lineup ROC curves". <doi:10.13140/RG.2.2.20415.94885/1> , Andrew Smith, Yueran Yang, & Gary Wells. (2020). "Distinguishing between investigator discriminability and eyewitness discriminability: A method for creating full receiver operating characteristic curves of lineup identification performance". Perspectives on Psychological Science, 15(3), 589-607. <doi:10.1177/1745691620902426>.
BugReports: https://github.com/yuerany/fullROC/issues
Language: en-US
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: stats, graphics
NeedsCompilation: no
Packaged: 2021-01-09 00:56:52 UTC; yueran
Author: Yueran Yang [aut, cre]
Maintainer: Yueran Yang <yuerany@unr.edu>
Repository: CRAN
Date/Publication: 2021-01-13 11:50:10 UTC

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Package expm updated to version 0.999-6 with previous version 0.999-5 dated 2020-07-20

Title: Matrix Exponential, Log, 'etc'
Description: Computation of the matrix exponential, logarithm, sqrt, and related quantities, using traditional and modern methods.
Author: Vincent Goulet, Christophe Dutang, Martin Maechler, David Firth, Marina Shapira, Michael Stadelmann
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between expm versions 0.999-5 dated 2020-07-20 and 0.999-6 dated 2021-01-13

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New package fdaPOIFD with initial version 1.0.0
Package: fdaPOIFD
Type: Package
Title: Partially Observed Integrated Functional Depth
Version: 1.0.0
Authors@R: c(person("Antonio", "Elías", email = "antonioefz91@gmail.com", role = c("aut", "cre")), person("Raúl", "Jiménez", email = "", role = c("ctb")), person("Anna M.", "Paganoni", email = "", role = c("ctb")), person("Laura M.", "Sangalli", email = "", role = c("ctb")))
Maintainer: Antonio Elías <antonioefz91@gmail.com>
Description: Integrated Depths for Partially Observed Functional Data (PoFD). Applications to visualization, outlier detection and classification. Software companion for Elías, Antonio, Jiménez, Raúl, Paganoni, Anna M. and Sangalli, Laura M., (2020), "Integrated Depth for Partially Observed Functional Data".
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Imports: ggplot2, tibble, magrittr, reshape2, patchwork, MASS, fdapace, FastGP, stats
URL: https://github.com/aefdz/fdaPOIFD
BugReports: https://github.com/aefdz/fdaPOIFD
NeedsCompilation: no
Packaged: 2021-01-08 16:56:50 UTC; anton
Author: Antonio Elías [aut, cre], Raúl Jiménez [ctb], Anna M. Paganoni [ctb], Laura M. Sangalli [ctb]
Repository: CRAN
Date/Publication: 2021-01-13 12:00:02 UTC

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Package chromoMap updated to version 0.3 with previous version 0.2 dated 2019-04-10

Title: Interactive Genomic Visualization of Biological Data
Description: Provides interactive, configurable and elegant graphics visualization of the chromosomes or chromosome regions of any living organism allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces a special plot viz. the "chromosome heatmap" that, in addition to mapping elements, can visualize the data associated with chromosome elements (like gene expression) in the form of heat colors which can be highly advantageous in the scientific interpretations and research work. Because of the large size of the chromosomes, it is impractical to visualize each element on the same plot. However, the plot provides a magnified view for each of chromosome locus to render additional information and visualization specific for that location. You can map thousands of genes and can view all mappings easily. Users can investigate the detailed information about the mappings (like gene names or total genes mapped on a location) or can view the magnified single or double stranded view of the chromosome at a location showing each mapped element in sequential order. The package provide multiple features like visualizing multiple sets, chromosome heat-maps, group annotations, adding hyperlinks, and labelling. The plots can be saved as HTML documents that can be customized and shared easily. In addition, you can include them in R Markdown or in R 'Shiny' applications.
Author: Lakshay Anand [aut, cre]
Maintainer: Lakshay Anand <lakshayanand15@gmail.com>

Diff between chromoMap versions 0.2 dated 2019-04-10 and 0.3 dated 2021-01-13

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New package dejaVu with initial version 0.2.1
Package: dejaVu
Type: Package
Title: Multiple Imputation for Recurrent Events
Version: 0.2.1
Authors@R: c( person("Nikolas", "Burkoff", role=c("aut")), person("Paul", "Metcalfe", email='paul.metcalfe@astrazeneca.com', role=c("aut")), person("Jonathan", "Bartlett", email='j.w.bartlett@bath.ac.uk', role=c("aut", "cre")), person("David", "Ruau", role=c("aut")) )
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>
Description: Performs reference based multiple imputation of recurrent event data based on a negative binomial regression model, as described by Keene et al (2014) <doi:10.1002/pst.1624>.
License: GPL (>= 2)
LazyData: true
Suggests: knitr, testthat,
Depends: R (>= 3.1.0)
Imports: MASS, stats
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-08 23:27:50 UTC; JWB-beast
Author: Nikolas Burkoff [aut], Paul Metcalfe [aut], Jonathan Bartlett [aut, cre], David Ruau [aut]
Repository: CRAN
Date/Publication: 2021-01-13 11:50:16 UTC

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New package vectorwavelet with initial version 0.1.0
Package: vectorwavelet
Type: Package
Title: Vector Wavelet Coherence for Multiple Time Series
Version: 0.1.0
Date: 2021-01-04
Author: Tunc Oygur [aut, cre], Gazanfer Unal [aut], Tarik C. Gouhier [ctb], Aslak Grinsted [ctb], Viliam Simko [ctb]
Maintainer: Tunc Oygur <info@tuncoygur.com.tr>
Description: New wavelet methodology (vector wavelet coherence) (Oygur, T., Unal, G, 2020 <doi:10.1007/s40435-020-00706-y>) to handle dynamic co-movements of multivariate time series via extending multiple and quadruple wavelet coherence methodologies. This package can be used to perform multiple wavelet coherence, quadruple wavelet coherence, and n-dimensional vector wavelet coherence analyses.
License: GPL (>= 2)
URL: https://github.com/toygur/vectorwavelet
BugReports: https://github.com/toygur/vectorwavelet/issues
Depends: biwavelet (>= 0.20.19)
Imports: iterators, spam, maps, fields, foreach, Rcpp
Suggests: knitr, rmarkdown, devtools
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-08 19:29:56 UTC; toygur
Repository: CRAN
Date/Publication: 2021-01-13 10:50:02 UTC

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Package smooth updated to version 3.0.1 with previous version 3.0.0 dated 2020-12-09

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>), Vector Exponential Smoothing (de Silva et al., 2010, <doi: 10.1177/1471082X0901000401>) in state space forms, several simulation functions and intermittent demand state space models. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2017, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package slga updated to version 1.1.2 with previous version 1.1.1 dated 2020-03-31

Title: Data Access Tools for the Soil and Landscape Grid of Australia
Description: Provides access to soil and landscape grid of Australia raster datasets via existing open geospatial consortium web coverage services. See <https://www.clw.csiro.au/aclep/soilandlandscapegrid/index.html>.
Author: Lauren O'Brien [aut, cre] (<https://orcid.org/0000-0002-7336-2171>), Ross Searle [ant] (<https://orcid.org/0000-0003-0256-1496>)
Maintainer: Lauren O'Brien <obrlsoilau@gmail.com>

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Package SimSurvey updated to version 0.1.3 with previous version 0.1.2 dated 2020-09-09

Title: Test Surveys by Simulating Spatially-Correlated Populations
Description: Simulate age-structured populations that vary in space and time and explore the efficacy of a range of built-in or user-defined sampling protocols to reproduce the population parameters of the known population. (See Regular et al. (2020) <doi:10.1371/journal.pone.0232822> for more details).
Author: Paul Regular [aut, cre] (<https://orcid.org/0000-0003-0318-2615>), Jonathan Babyn [ctb], Greg Robertson [ctb]
Maintainer: Paul Regular <Paul.Regular@dfo-mpo.gc.ca>

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Package simsurv updated to version 1.0.0 with previous version 0.2.3 dated 2019-02-01

Title: Simulate Survival Data
Description: Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or a user-defined function of time. Clustered event times are also accommodated. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions reflecting those seen in practice. If the user wishes to provide a user-defined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closed-form solution. For details see the supporting paper <doi:10.18637/jss.v097.i03>. Note that this package is modelled on the 'survsim' package available in the 'Stata' software (see Crowther and Lambert (2012) <https://www.stata-journal.com/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).
Author: Sam Brilleman [cre, aut, cph], Alessandro Gasparini [ctb]
Maintainer: Sam Brilleman <sam.brilleman@gmail.com>

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Package sass updated to version 0.3.0 with previous version 0.2.0 dated 2020-03-18

Title: Syntactically Awesome Style Sheets ('Sass')
Description: An 'SCSS' compiler, powered by the 'LibSass' library. With this, R developers can use variables, inheritance, and functions to generate dynamic style sheets. The package uses the 'Sass CSS' extension language, which is stable, powerful, and CSS compatible.
Author: Joe Cheng [aut], Timothy Mastny [aut], Richard Iannone [aut] (<https://orcid.org/0000-0003-3925-190X>), Barret Schloerke [aut] (<https://orcid.org/0000-0001-9986-114X>), Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>), RStudio [cph, fnd], Sass Open Source Foundation [ctb, cph] (LibSass library), Greter Marcel [ctb, cph] (LibSass library), Mifsud Michael [ctb, cph] (LibSass library), Hampton Catlin [ctb, cph] (LibSass library), Natalie Weizenbaum [ctb, cph] (LibSass library), Chris Eppstein [ctb, cph] (LibSass library), Adams Joseph [ctb, cph] (json.cpp), Trifunovic Nemanja [ctb, cph] (utf8.h)
Maintainer: Carson Sievert <carson@rstudio.com>

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Package rmdformats updated to version 1.0.1 with previous version 1.0.0 dated 2020-11-23

Title: HTML Output Formats and Templates for 'rmarkdown' Documents
Description: HTML formats and templates for 'rmarkdown' documents, with some extra features such as automatic table of contents, lightboxed figures, dynamic crosstab helper.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>

Diff between rmdformats versions 1.0.0 dated 2020-11-23 and 1.0.1 dated 2021-01-13

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Package pmetar updated to version 0.3.0 with previous version 0.2.7.0 dated 2020-09-09

Title: Processing METAR Weather Reports
Description: Allows to download current and historical METAR weather reports extract and parse basic parameters and present main weather information. Current reports are downloaded from Aviation Weather Center <https://www.aviationweather.gov/metar> and historical reports from Iowa Environmental Mesonet web page of Iowa State University ASOS-AWOS-METAR <http://mesonet.agron.iastate.edu/AWOS/>.
Author: Pawel Cwiek [aut, cre], David Megginson [ctb] (Author of data set with airports list https://ourairports.com/data/), Greg Thompson [ctb] (Author of data set with airports list https://www.aviationweather.gov/docs/metar/stations.txt)
Maintainer: Pawel Cwiek <prc.altodato@gmail.com>

Diff between pmetar versions 0.2.7.0 dated 2020-09-09 and 0.3.0 dated 2021-01-13

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New package marginalRisk with initial version 2021.1-7
Package: marginalRisk
LazyLoad: yes
LazyData: yes
Version: 2021.1-7
Title: Estimating Marginal Risk
Authors@R: c(person("Youyi", "Fong", role = "cre", email = "youyifong@gmail.com"), person("Peter", "Gilbert", role = "aut", email = "pgilbert@scharp.org") )
Depends: R (>= 3.6)
Imports:
Suggests: RUnit, R.rsp, survival
Description: Estimates risk as a function of a marker by integrating over other covariates in a conditional risk model.
VignetteBuilder: R.rsp
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-01-08 17:32:41 UTC; Youyi
Author: Youyi Fong [cre], Peter Gilbert [aut]
Maintainer: Youyi Fong <youyifong@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-13 10:50:18 UTC

More information about marginalRisk at CRAN
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Package gausscov updated to version 0.0.11 with previous version 0.0.10 dated 2020-11-22

Title: The Gaussian Covariate Method for Variable Selection
Description: Given the standard linear model the traditional way of deciding whether to include the jth covariate is to apply the F-test to decide whether the corresponding beta coefficient is zero. The Gaussian covariate method is completely different. The question as to whether the beta coefficient is or is not zero is replaced by the question as to whether the covariate is better or worse than i.i.d. Gaussian noise. The P-value for the covariate is the probability that Gaussian noise is better. Surprisingly this can be given exactly and it is the same a the P-value for the classical model based on the F-distribution. The Gaussian covariate P-value is model free, it is the same for any data set. Using the idea it is possible to do covariate selection for a small number of covariates 25 by considering all subsets. Post selection inference causes no problems as the P-values hold whatever the data. The idea extends to stepwise regression again with exact probabilities. In the simplest version the only parameter is a specified cut-off P-value which can be interpreted as the probability of a false positive being included in the final selection. For more information see the website below and the accompanying papers: L. Davies and L. Duembgen, "Covariate Selection Based on a Model-free Approach to Linear Regression with Exact Probabilities", 2020, <arXiv:1906.01990>. L. Davies, "Lasso, Knockoff and Gaussian covariates: A comparison", 2018, <arXiv:1807.09633>.
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <laurie.davies@uni-due.de>

Diff between gausscov versions 0.0.10 dated 2020-11-22 and 0.0.11 dated 2021-01-13

 DESCRIPTION |    8 ++++----
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Package fixest updated to version 0.8.1 with previous version 0.8.0 dated 2020-12-14

Title: Fast Fixed-Effects Estimations
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://wwwen.uni.lu/content/download/110162/1299525/file/2018_13>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
Author: Laurent Berge [aut, cre], Sebastian Krantz [ctb]
Maintainer: Laurent Berge <laurent.berge@u-bordeaux.fr>

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Package easyalluvial updated to version 0.3.0 with previous version 0.2.3 dated 2020-05-07

Title: Generate Alluvial Plots with a Single Line of Code
Description: Alluvial plots are similar to sankey diagrams and visualise categorical data over multiple dimensions as flows. (Rosvall M, Bergstrom CT (2010) Mapping Change in Large Networks. PLoS ONE 5(1): e8694. <doi:10.1371/journal.pone.0008694> Their graphical grammar however is a bit more complex then that of a regular x/y plots. The 'ggalluvial' package made a great job of translating that grammar into 'ggplot2' syntax and gives you many options to tweak the appearance of an alluvial plot, however there still remains a multi-layered complexity that makes it difficult to use 'ggalluvial' for explorative data analysis. 'easyalluvial' provides a simple interface to this package that allows you to produce a decent alluvial plot from any dataframe in either long or wide format from a single line of code while also handling continuous data. It is meant to allow a quick visualisation of entire dataframes with a focus on different colouring options that can make alluvial plots a great tool for data exploration.
Author: Bjoern Koneswarakantha [aut, cre] (<https://orcid.org/0000-0003-4585-7799>)
Maintainer: Bjoern Koneswarakantha <datistics@gmail.com>

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Package DLMtool updated to version 6.0.0 with previous version 5.4.5 dated 2020-06-16

Title: Data-Limited Methods Toolkit
Description: A collection of data-limited management procedures that can be evaluated with management strategy evaluation with the MSEtool package, or applied to fishery data to provide management recommendations.
Author: Tom Carruthers [aut], Quang Huynh [aut], Adrian Hordyk [aut, cre], M. Bryan [ctb], HF. Geremont [ctb], C. Grandin [ctb], W. Harford [ctb], Q. Huynh [ctb], C. Walters [ctb]
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>

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Package corpustools updated to version 0.4.5 with previous version 0.4.4 dated 2021-01-07

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 bbsBayes updated to version 2.3.6.2020 with previous version 2.3.5.2020 dated 2020-11-26

Title: Hierarchical Bayesian Analysis of North American BBS Data
Description: The North American Breeding Bird Survey (BBS) is a long-running program that seeks to monitor the status and trends of the breeding birds in North America. Since its start in 1966, the BBS has accumulated over 50 years of data for over 500 species of North American Birds. Given the temporal and spatial structure of the data, hierarchical Bayesian models are used to assess the status and trends of these 500+ species of birds. 'bbsBayes' allows you to perform hierarchical Bayesian analysis of BBS data. You can run a full model analysis for one or more species that you choose, or you can take more control and specify how the data should be stratified, prepared for 'JAGS', or modelled. The functions provided here allow you to replicate analyses performed by the United State Geological Survey (USGS, see Link and Sauer (2011) <doi:10.1525/auk.2010.09220>) and Canadian Wildlife Service (CWS, see Smith and Edwards (2020) <doi:10.1101/2020.03.26.010215>).
Author: Brandon P.M. Edwards [aut, cre], Adam C. Smith [aut]
Maintainer: Brandon P.M. Edwards <edwardsb@uoguelph.ca>

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Package apng updated to version 1.1 with previous version 1.0 dated 2017-05-25

Title: Convert Png Files into Animated Png
Description: Convert several png files into an animated png file. This package exports only a single function `apng'. Call the apng function with a vector of file names (which should be png files) to convert them to a single animated png file.
Author: Quinten Stokkink
Maintainer: Quinten Stokkink <q.a.stokkink@tudelft.nl>

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Package tashu updated to version 0.1.1 with previous version 0.1.0 dated 2019-09-04

Title: Analysis and Prediction of Bicycle Rental Amount
Description: Provides functions for analyzing citizens' bicycle usage pattern and predicting rental amount on specific conditions. Functions on this package interacts with data on 'tashudata' package, a 'drat' repository. 'tashudata' package contains rental/return history on public bicycle system('Tashu'), weather for 3 years and bicycle station information. To install this data package, see the instructions at <https://github.com/zeee1/Tashu_Rpackage>. top10_stations(), top10_paths() function visualizes image showing the most used top 10 stations and paths. daily_bike_rental() and monthly_bike_rental() shows daily, monthly amount of bicycle rental. create_train_dataset(), create_test_dataset() is data processing function for prediction. Bicycle rental history from 2013 to 2014 is used to create training dataset and that on 2015 is for test dataset. Users can make random-forest prediction model by using create_train_model() and predict amount of bicycle rental in 2015 by using predict_bike_rental().
Author: Jiwon Min [aut, cre]
Maintainer: Jiwon Min <miw5281@gmail.com>

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Package shinyWidgets updated to version 0.5.5 with previous version 0.5.4 dated 2020-10-06

Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], David Granjon [aut], Ian Fellows [ctb] (Methods for mutating vertical tabs & updateMultiInput), Wil Davis [ctb] (numericRangeInput function), Spencer Matthews [ctb] (autoNumeric methods)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package ggformula updated to version 0.10.1 with previous version 0.9.4 dated 2020-03-04

Title: Formula Interface to the Grammar of Graphics
Description: Provides a formula interface to 'ggplot2' graphics.
Author: Daniel Kaplan [aut], Randall Pruim [aut, cre]
Maintainer: Randall Pruim <rpruim@calvin.edu>

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 ggformula-0.10.1/ggformula/DESCRIPTION                                                                    |   24 
 ggformula-0.10.1/ggformula/MD5                                                                            |  294 
 ggformula-0.10.1/ggformula/NAMESPACE                                                                      |   25 
 ggformula-0.10.1/ggformula/NEWS.md                                                                        |   13 
 ggformula-0.10.1/ggformula/R/formula2aes.R                                                                |   10 
 ggformula-0.10.1/ggformula/R/gf_aux.R                                                                     |    5 
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 ggformula-0.10.1/ggformula/man/MIpop.Rd                                                                   |    6 
 ggformula-0.10.1/ggformula/man/gf_area.Rd                                                                 |    4 
 ggformula-0.10.1/ggformula/man/gf_ash.Rd                                                                  |    8 
 ggformula-0.10.1/ggformula/man/gf_aux.Rd                                                                  |    5 
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 ggformula-0.10.1/ggformula/man/gf_barh.Rd                                                                 |   36 
 ggformula-0.10.1/ggformula/man/gf_bin2d.Rd                                                                |    2 
 ggformula-0.10.1/ggformula/man/gf_boxploth.Rd                                                             |   18 
 ggformula-0.10.1/ggformula/man/gf_col.Rd                                                                  |    2 
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 ggformula-0.10.1/ggformula/man/gf_count.Rd                                                                |    4 
 ggformula-0.10.1/ggformula/man/gf_crossbar.Rd                                                             |    2 
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 ggformula-0.10.1/ggformula/man/gf_density.Rd                                                              |   43 
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 ggformula-0.10.1/ggformula/man/gf_empty.Rd                                                                |    3 
 ggformula-0.10.1/ggformula/man/gf_errorbar.Rd                                                             |    4 
 ggformula-0.10.1/ggformula/man/gf_errorbarh.Rd                                                            |    2 
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 ggformula-0.10.1/ggformula/man/gf_function2d.Rd                                                           |    2 
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 ggformula-0.10.1/ggformula/man/gf_line.Rd                                                                 |    2 
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 ggformula-0.10.1/ggformula/man/gf_qq.Rd                                                                   |    9 
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Package SQUAREM updated to version 2021.1 with previous version 2020.5 dated 2020-10-21

Title: Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
Description: Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("SQUAREM"). Refer to the J Stat Software article: <doi:10.18637/jss.v092.i07>.
Author: Ravi Varadhan
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>

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Package shinytest updated to version 1.5.0 with previous version 1.4.0 dated 2020-06-18

Title: Test Shiny Apps
Description: For automated testing of Shiny applications, using a headless browser, driven through 'WebDriver'.
Author: Winston Chang [aut, cre], Gábor Csárdi [aut], Hadley Wickham [aut], RStudio [cph, fnd], Mango Solutions [cph, ccp]
Maintainer: Winston Chang <winston@rstudio.com>

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Package httpuv updated to version 1.5.5 with previous version 1.5.4 dated 2020-06-06

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng [aut], Winston Chang [aut, cre], RStudio, PBC [cph], Hector Corrada Bravo [ctb], Jeroen Ooms [ctb]
Maintainer: Winston Chang <winston@rstudio.com>

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Package MGDrivE2 updated to version 1.1.0 with previous version 1.0.1 dated 2020-10-24

Title: Mosquito Gene Drive Explorer 2
Description: A simulation modeling framework which significantly extends capabilities from the 'MGDrivE' simulation package via a new mathematical and computational framework based on stochastic Petri nets. For more information about 'MGDrivE', see our publication: <https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13318>. Some of the notable capabilities of 'MGDrivE2' include: incorporation of human populations, epidemiological dynamics, time-varying parameters, and a continuous-time simulation framework with various sampling algorithms for both deterministic and stochastic interpretations. 'MGDrivE2' relies on the genetic inheritance structures provided in package 'MGDrivE', so we suggest installing that package initially.
Author: Sean L. Wu [aut, cre], Jared B. Bennett [aut], Héctor Manuel Sánchez Castellanos [ctb], Tomás M. León [ctb], Andrew J. Dolgert [ctb], John M. Marshall [aut]
Maintainer: Sean L. Wu <slwood89@gmail.com>

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 build/vignette.rds              |binary
 inst/doc/advanced_topics.R      |   20 +++---
 inst/doc/advanced_topics.Rmd    |   20 +++---
 inst/doc/advanced_topics.html   |  132 +++++++++++++++++++++++++---------------
 inst/doc/epi-SEIR.R             |    8 +-
 inst/doc/epi-SEIR.Rmd           |    8 +-
 inst/doc/epi-SEIR.html          |  100 ++++++++++++++++++++----------
 inst/doc/epi-network.R          |    4 -
 inst/doc/epi-network.Rmd        |    4 -
 inst/doc/epi-network.html       |   94 +++++++++++++++++++---------
 inst/doc/epi-node.R             |    4 -
 inst/doc/epi-node.Rmd           |    4 -
 inst/doc/epi-node.html          |   96 +++++++++++++++++++----------
 inst/doc/inhomogeneous.R        |    8 +-
 inst/doc/inhomogeneous.Rmd      |    8 +-
 inst/doc/inhomogeneous.html     |   96 +++++++++++++++++++----------
 inst/doc/lifecycle-network.R    |    4 -
 inst/doc/lifecycle-network.Rmd  |    4 -
 inst/doc/lifecycle-network.html |   92 ++++++++++++++++++---------
 inst/doc/lifecycle-node.R       |    8 +-
 inst/doc/lifecycle-node.Rmd     |    8 +-
 inst/doc/lifecycle-node.html    |   98 +++++++++++++++++++----------
 inst/doc/output-storage.R       |    6 -
 inst/doc/output-storage.Rmd     |    6 -
 inst/doc/output-storage.html    |   98 +++++++++++++++++++----------
 man/base_sum_F.Rd               |    2 
 man/batch_migration.Rd          |only
 man/batch_migration_stage.Rd    |only
 man/get_shape.Rd                |only
 man/sim_trajectory_CSV.Rd       |   10 +--
 man/sim_trajectory_R.Rd         |   12 +--
 man/sim_trajectory_base_CSV.Rd  |    6 -
 man/sim_trajectory_base_R.Rd    |    6 -
 man/split_aggregate_CSV.Rd      |    9 --
 man/spn_T_lifecycle_network.Rd  |    7 +-
 man/summarize_stats_CSV.Rd      |    7 --
 vignettes/advanced_topics.Rmd   |   20 +++---
 vignettes/epi-SEIR.Rmd          |    8 +-
 vignettes/epi-network.Rmd       |    4 -
 vignettes/epi-node.Rmd          |    4 -
 vignettes/inhomogeneous.Rmd     |    8 +-
 vignettes/lifecycle-network.Rmd |    4 -
 vignettes/lifecycle-node.Rmd    |    8 +-
 vignettes/output-storage.Rmd    |    6 -
 57 files changed, 953 insertions(+), 591 deletions(-)

More information about MGDrivE2 at CRAN
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