Mon, 18 May 2020

Package preputils updated to version 1.0.3 with previous version 1.0.2 dated 2018-12-18

Title: Utilities for Preparation of Data Analysis
Description: Miscellaneous small utilities are provided to mitigate issues with messy, inconsistent or high dimensional data and help for preprocessing and preparing analyses.
Author: Josef Frank
Maintainer: Josef Frank <josef.frank@gmx.ch>

Diff between preputils versions 1.0.2 dated 2018-12-18 and 1.0.3 dated 2020-05-18

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Package geodist updated to version 0.0.4 with previous version 0.0.3 dated 2019-04-17

Title: Fast, Dependency-Free Geodesic Distance Calculations
Description: Dependency-free, ultra fast calculation of geodesic distances. Includes the reference nanometre-accuracy geodesic distances of Karney (2013) <doi:10.1007/s00190-012-0578-z>, as used by the 'sf' package, as well as Haversine and Vincenty distances. Default distance measure is the "Mapbox cheap ruler" which is generally more accurate than Haversine or Vincenty for distances out to a few hundred kilometres, and is considerably faster. The main function accepts one or two inputs in almost any generic rectangular form, and returns either matrices of pairwise distances, or vectors of sequential distances.
Author: Mark Padgham [aut, cre], Michael D. Sumner [aut], Charles F.F Karney [cph] (Original author of included code for geodesic distances)
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package wwntests updated to version 1.0.1 with previous version 1.0.0 dated 2019-06-19

Title: Hypothesis Tests for Functional Time Series
Description: Provides an array of white noise hypothesis tests for functional data and related visualizations. These include tests based on the norms of autocovariance operators that are built under both strong and weak white noise assumptions. Additionally, tests based on the spectral density operator and on principal component dimensional reduction are included, which are built under strong white noise assumptions. These methods are described in Kokoszka et al. (2017) <doi:10.1016/j.jmva.2017.08.004>, Characiejus and Rice (2019) <doi:10.1016/j.ecosta.2019.01.003>, and Gabrys and Kokoszka (2007) <doi:10.1198/016214507000001111>, respectively.
Author: Daniel Petoukhov [aut, cre]
Maintainer: Daniel Petoukhov <dvpetouk@uwaterloo.ca>

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Package robin updated to version 1.0.1 with previous version 1.0.0 dated 2020-02-17

Title: ROBustness in Network
Description: Assesses the robustness of the community structure of a network found by one or more community detection algorithm to give indications about their reliability. It detects if the community structure found by a set of algorithms is statistically significant and compares the different selected detection algorithms on the same network. robin helps to choose among different community detection algorithms the one that better fits the network of interest. Reference in Annamaria Carissimo, Luisa Cutillo, Italia De Feis (2018) <doi:10.1016/j.csda.2017.10.006>.
Author: Valeria Policastro [aut, cre], Dario Righelli [aut], Luisa Cutillo [aut], Italia De Feis [aut], Annamaria Carissimo [aut]
Maintainer: Valeria Policastro <valeria.policastro@gmail.com>

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Package omu updated to version 1.0.4 with previous version 1.0.2 dated 2018-08-02

Title: A Metabolomics Analysis Tool for Intuitive Figures and Convenient Metadata Collection
Description: Facilitates the creation of intuitive figures to describe metabolomics data by utilizing Kyoto Encyclopedia of Genes and Genomes (KEGG) hierarchy data, and gathers functional orthology and gene data using the package 'KEGGREST' to access the 'KEGG' API.
Author: Connor Tiffany [aut, cre]
Maintainer: Connor Tiffany <crtiffany@ucdavis.edu>

Diff between omu versions 1.0.2 dated 2018-08-02 and 1.0.4 dated 2020-05-18

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Package set6 updated to version 0.1.4 with previous version 0.1.3 dated 2020-03-16

Title: R6 Mathematical Sets Interface
Description: An object-oriented package for mathematical sets, upgrading the current gold-standard {sets}. Many forms of mathematical sets are implemented, including (countably finite) sets, tuples, intervals (countably infinite or uncountable), and fuzzy variants. Wrappers extend functionality by allowing symbolic representations of complex operations on sets, including unions, (cartesian) products, exponentiation, and differences (asymmetric and symmetric).
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut]
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

Diff between set6 versions 0.1.3 dated 2020-03-16 and 0.1.4 dated 2020-05-18

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New package sequoia with initial version 2.0.7
Package: sequoia
Type: Package
Title: Pedigree Inference from SNPs
Version: 2.0.7
Date: 2020-05-17
Authors@R: person("Jisca", "Huisman", email = "jisca.huisman@gmail.com", role = c("aut", "cre"))
Author: Jisca Huisman [aut, cre]
Maintainer: Jisca Huisman <jisca.huisman@gmail.com>
Description: Fast multi-generational pedigree inference from incomplete data on hundreds of SNPs, including parentage assignment and sibship clustering. See Huisman (2017) (<DOI:10.1111/1755-0998.12665>, citation('sequoia')) for more information.
License: GPL-2
LazyData: TRUE
Imports: plyr (>= 1.8.0), stats, utils, graphics
RoxygenNote: 7.1.0
Suggests: xlsx, knitr, rmarkdown, bookdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-05-17 19:07:44 UTC; jisca
Repository: CRAN
Date/Publication: 2020-05-18 18:30:09 UTC

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Package parameters updated to version 0.7.0 with previous version 0.6.1 dated 2020-04-08

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>), Søren Højsgaard [aut], Zen J. Lau [ctb]
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between parameters versions 0.6.1 dated 2020-04-08 and 0.7.0 dated 2020-05-18

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Package MPTmultiverse updated to version 0.4-1 with previous version 0.4-0 dated 2020-03-27

Title: Multiverse Analysis of Multinomial Processing Tree Models
Description: Statistical or cognitive modeling usually requires a number of more or less arbitrary choices creating one specific path through a 'garden of forking paths'. The multiverse approach (Steegen, Tuerlinckx, Gelman, & Vanpaemel, 2016, <doi:10.1177/1745691616658637>) offers a principled alternative in which results for all possible combinations of reasonable modeling choices are reported. MPTmultiverse performs a multiverse analysis for multinomial processing tree (MPT, Riefer & Batchelder, 1988, <doi:10.1037/0033-295X.95.3.318>) models combining maximum-likelihood/frequentist and Bayesian estimation approaches with different levels of pooling (i.e., data aggregation). For the frequentist approaches, no pooling (with and without parametric or nonparametric bootstrap) and complete pooling are implemented using MPTinR <https://cran.r-project.org/package=MPTinR>. For the Bayesian approaches, no pooling, complete pooling, and three different variants of partial pooling are implemented using TreeBUGS <https://cran.r-project.org/package=TreeBUGS>. The main function is fit_mpt() who performs the multiverse analysis in one call.
Author: Henrik Singmann [aut, cre] (<https://orcid.org/0000-0002-4842-3657>), Daniel W. Heck [aut], Marius Barth [aut] (<https://orcid.org/0000-0002-3421-6665>), Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>)
Maintainer: Henrik Singmann <singmann@gmail.com>

Diff between MPTmultiverse versions 0.4-0 dated 2020-03-27 and 0.4-1 dated 2020-05-18

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More information about MPTmultiverse at CRAN
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Package iq updated to version 1.5 with previous version 1.4 dated 2020-04-26

Title: Protein Quantification in Mass Spectrometry-Based Proteomics
Description: An implementation of the maximal peptide ratio extraction module of the MaxLFQ algorithm by Cox et al. (2014) <doi:10.1074/mcp.M113.031591> in a complete pipeline for processing proteomics data in data-independent acquisition mode (Pham et al. 2020 <doi:10.1093/bioinformatics/btz961>). It offers additional options for protein quantification using the N most intense fragment ions, using all fragment ions, and a wrapper for the median polish algorithm by Tukey (1977, ISBN:0201076160).
Author: Thang Pham [aut, cre, cph, ctb] (<https://orcid.org/0000-0003-0333-2492>), Alex Henneman [ctb] (<https://orcid.org/0000-0002-3746-4410>)
Maintainer: Thang Pham <t.pham@amsterdamumc.nl>

Diff between iq versions 1.4 dated 2020-04-26 and 1.5 dated 2020-05-18

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Package yamlet updated to version 0.4.7 with previous version 0.4.6 dated 2020-03-14

Title: Versatile Curation of Table Metadata
Description: The 'yamlet' package implements a file-based mechanism for documenting datasets. It reads and writes YAML-formatted metadata and applies it as data item attributes. Data and metadata are stored independently but can be coordinated by using similar file paths with different extensions. The 'yamlet' dialect is valid 'YAML', but some conventions are chosen to improve readability. Defaults and conventions can be over-ridden by the user. See ?yamlet and ?decorate.data.frame. See ?read_yamlet ?write_yamlet, and ?io_csv.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package spc updated to version 0.6.4 with previous version 0.6.3 dated 2019-10-27

Title: Statistical Process Control -- Calculation of ARL and Other Control Chart Performance Measures
Description: Evaluation of control charts by means of the zero-state, steady-state ARL (Average Run Length) and RL quantiles. Setting up control charts for given in-control ARL. The control charts under consideration are one- and two-sided EWMA, CUSUM, and Shiryaev-Roberts schemes for monitoring the mean or variance of normally distributed independent data. ARL calculation of the same set of schemes under drift (in the mean) are added. Eventually, all ARL measures for the multivariate EWMA (MEWMA) are provided.
Author: Sven Knoth
Maintainer: Sven Knoth <Sven.Knoth@gmx.de>

Diff between spc versions 0.6.3 dated 2019-10-27 and 0.6.4 dated 2020-05-18

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Package officer updated to version 0.3.11 with previous version 0.3.10 dated 2020-05-14

Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. When working with 'PowerPoint' presentations, slides can be added or removed; shapes inside slides can also be added or removed. When working with 'Word' documents, a cursor can be used to help insert or delete content at a specific location in the document. The package does not require any installation of Microsoft products to be able to write Microsoft files.
Author: David Gohel [aut, cre], Frank Hangler [ctb] (function body_replace_all_text), Liz Sander [ctb] (several documentation fixes), Anton Victorson [ctb] (fixes xml structures), Jon Calder [ctb] (update vignettes), John Harrold [ctb] (fuction annotate_base), John Muschelli [ctb] (google doc compatibility)
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between officer versions 0.3.10 dated 2020-05-14 and 0.3.11 dated 2020-05-18

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Package sensitivity updated to version 1.20.0 with previous version 1.19.0 dated 2020-04-29

Title: Global Sensitivity Analysis of Model Outputs
Description: A collection of functions for factor screening, global sensitivity analysis and robustness analysis. Most of the functions have to be applied on model with scalar output, but several functions support multi-dimensional outputs.
Author: Bertrand Iooss, Sebastien Da Veiga, Alexandre Janon and Gilles Pujol, with contributions from Baptiste Broto, Khalid Boumhaout, Thibault Delage, Reda El Amri, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Loic Le Gratiet, Paul Lemaitre, Amandine Marrel, Anouar Meynaoui, Barry L. Nelson, Filippo Monari, Roelof Oomen, Oldrich Rakovec, Bernardo Ramos, Olivier Roustant, Eunhye Song, Jeremy Staum, Roman Sueur, Taieb Touati, Frank Weber
Maintainer: Bertrand Iooss <biooss@yahoo.fr>

Diff between sensitivity versions 1.19.0 dated 2020-04-29 and 1.20.0 dated 2020-05-18

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Package GGUM updated to version 0.4-1 with previous version 0.4 dated 2020-01-21

Title: Generalized Graded Unfolding Model
Description: An implementation of the generalized graded unfolding model (GGUM) in R, see Roberts, Donoghue, and Laughlin (2000) <doi:10.1177/01466216000241001>). It allows to simulate data sets based on the GGUM. It fits the GGUM and the GUM, and it retrieves item and person parameter estimates. Several plotting functions are available (item and test information functions; item and test characteristic curves; item category response curves). Additionally, there are some functions that facilitate the communication between R and 'GGUM2004'. Finally, a model-fit checking utility, MODFIT(), is also available.
Author: Jorge N. Tendeiro [aut, cre], Sebastian Castro-Alvarez [aut]
Maintainer: Jorge N. Tendeiro <j.n.tendeiro@rug.nl>

Diff between GGUM versions 0.4 dated 2020-01-21 and 0.4-1 dated 2020-05-18

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Package GetDFPData updated to version 1.5.3 with previous version 1.5.2 dated 2019-07-22

Title: Reading Annual Financial Reports from Bovespa's DFP, FRE and FCA System
Description: Reads annual financial reports including assets, liabilities, dividends history, stockholder composition and much more from Bovespa's DFP, FRE and FCA systems <http://www.bmfbovespa.com.br/en_us/products/listed-equities-and-derivatives/equities/listed-companies.htm>. These are web based interfaces for all financial reports of companies traded at Bovespa. The package is specially designed for large scale data importation, keeping a tabular (long) structure for easier processing.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

Diff between GetDFPData versions 1.5.2 dated 2019-07-22 and 1.5.3 dated 2020-05-18

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Package DHS.rates updated to version 0.7.1 with previous version 0.7.0 dated 2019-04-05

Title: Calculates Demographic Indicators
Description: Calculates key indicators such as fertility rates (Total Fertility Rate (TFR), General Fertility Rate (GFR), and Age Specific Fertility Rate (ASFR)) using Demographic and Health Survey (DHS) women/individual data, and childhood mortality probabilities and rates such as Neonatal Mortality Rate (NNMR), Post-neonatal Mortality Rate (PNNMR), Infant Mortality Rate (IMR), Child Mortality Rate (CMR), and Under-five Mortality Rate (U5MR). In addition to the indicators, the 'DHS.rates' package estimates sampling errors indicators such as Standard Error (SE), Design Effect (DEFT), Relative Standard Error (RSE) and Confidence Interval (CI). The package is developed according to the DHS methodology of calculating the fertility indicators and the childhood mortality rates outlined in the "Guide to DHS Statistics" (Croft, Trevor N., Aileen M. J. Marshall, Courtney K. Allen, et al. 2018, <https://dhsprogram.com/Data/Guide-to-DHS-Statistics/index.cfm>) and the DHS methodology of estimating the sampling errors indicators outlined in the "DHS Sampling and Household Listing Manual" (ICF International 2012, <https://dhsprogram.com/pubs/pdf/DHSM4/DHS6_Sampling_Manual_Sept2012_DHSM4.pdf>).
Author: Mahmoud Elkasabi
Maintainer: Mahmoud Elkasabi <mahmoud.elkasabi@icf.com>

Diff between DHS.rates versions 0.7.0 dated 2019-04-05 and 0.7.1 dated 2020-05-18

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Package ctrdata updated to version 1.2.1 with previous version 1.2 dated 2019-12-08

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: Provides functions for querying, retrieving and analysing protocol- and results-related information on clinical trials from two public registers, the European Union Clinical Trials Register (EUCTR, <https://www.clinicaltrialsregister.eu/>) and ClinicalTrials.gov (CTGOV, <https://clinicaltrials.gov/>). The information is transformed and then stored in a database (nodbi). Functions are provided for accessing and analysing the locally stored information on the clinical trials, as well as for identifying duplicate records. The package is motivated by the need for aggregating and trend-analysing the design, conduct and outcomes across clinical trials.
Author: Ralf Herold [aut, cre] (<https://orcid.org/0000-0002-8148-6748>)
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

Diff between ctrdata versions 1.2 dated 2019-12-08 and 1.2.1 dated 2020-05-18

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New package worcs with initial version 0.1.1
Package: worcs
Type: Package
Date: 2020-05-12
Title: Workflow for Open Reproducible Code in Science
Version: 0.1.1
Authors@R: c( person( given = c("Caspar", "J."), family = "van Lissa", email = "c.j.vanlissa@uu.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0808-5024") ), person( "Aaron", "Peikert", role = c("ctb"), comment = c(ORCID = "0000-0001-7813-818X") ), person( c("Andreas", "M."), "Brandmaier", role = "ctb", comment = c(ORCID = "0000-0001-8765-6982") ) )
Description: Create reproducible and transparent research projects in 'R', with a minimal amount of code. This package is based on the Workflow for Open Reproducible Code in Science (WORCS), a step-by-step procedure based on best practices for Open Science. It includes an 'RStudio' project template, several convenience functions, and all dependencies required to make your project reproducible and transparent. WORCS is explained in the tutorial paper by Van Lissa, Brandmaier, Brinkman, & Vreede (2020) <doi:10.17605/OSF.IO/ZCVBS>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/cjvanlissa/worcs
RoxygenNote: 7.1.0
Imports: rmarkdown, prereg, gert, ranger, yaml, digest
Suggests: remotes, renv, knitr, missRanger, testthat (>= 2.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-12 20:52:01 UTC; Lissa102
Author: Caspar J. van Lissa [aut, cre] (<https://orcid.org/0000-0002-0808-5024>), Aaron Peikert [ctb] (<https://orcid.org/0000-0001-7813-818X>), Andreas M. Brandmaier [ctb] (<https://orcid.org/0000-0001-8765-6982>)
Maintainer: Caspar J. van Lissa <c.j.vanlissa@uu.nl>
Repository: CRAN
Date/Publication: 2020-05-18 15:20:02 UTC

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New package strand with initial version 0.1.1
Package: strand
Type: Package
Title: A Framework for Investment Strategy Simulation
Version: 0.1.1
Date: 2020-05-12
Authors@R: c(person(given = "Jeff", family ="Enos", email = "jeff@strand.tech", role = c("cre", "aut")), person(given = "David", family = "Kane", email = "david@strand.tech", role = c("aut")), person(given = "Strand Technologies, Inc.", role = "cph"))
Description: Provides a framework for performing discrete (share-level) simulations of investment strategies. Simulated portfolios optimize exposure to an input signal subject to constraints such as position size and factor exposure.
License: GPL-3
URL: https://github.com/strand-tech/strand
BugReports: https://github.com/strand-tech/strand/issues
Depends: R (>= 3.5.0)
Imports: R6, Matrix, Rglpk, Rsymphony, dplyr, tidyr, feather, lubridate, rlang, yaml, ggplot2
Suggests: testthat, knitr, rmarkdown, shiny, DT
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-12 21:22:26 UTC; enos
Author: Jeff Enos [cre, aut], David Kane [aut], Strand Technologies, Inc. [cph]
Maintainer: Jeff Enos <jeff@strand.tech>
Repository: CRAN
Date/Publication: 2020-05-18 15:20:06 UTC

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New package SMLE with initial version 0.3.1
Package: SMLE
Title: Joint Feature Screening via Sparse MLE
Version: 0.3.1
Author: Qianxiang Zang,Chen Xu,Kelly Burkett
Maintainer: Qianxiang Zang <qzang023@uottawa.ca>
Imports: foreach, glmnet, mnormt, doParallel
Description: Variable selection techniques are essential tools for model selection and estimation in high-dimensional statistical models. Sparse Maximal Likelihood Estimator (SMLE) (Xu and Chen (2014)<doi:10.1080/01621459.2013.879531>) provides an efficient implementation for the joint feature screening method on high-dimensional generalized linear models. It also conducts a post-screening selection based on user-specified selection criterion. The algorithm uses iterative hard thresholding along with parallel computing.
License: GPL-2
Depends: R (>= 3.2.4)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Repository: CRAN
Packaged: 2020-05-13 04:44:44 UTC; mac
Date/Publication: 2020-05-18 15:40:03 UTC

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New package scipub with initial version 1.0.0
Package: scipub
Title: Summarize Data for Scientific Publication
Version: 1.0.0
Authors@R: person(given = "David", family = "Pagliaccio", role = c("aut", "cre"), email = "david.pagliaccio@gmail.com", comment = c(ORCID = "0000-0002-1214-1965"))
Description: Create and format tables and APA statistics for for scientific publication. This includes making a 'Table 1' to summarize demographics across groups, correlation tables with significance indicated by stars, and extracting formatted statistical summarizes from simple tests for in-text notation. The package also includes functions for Winsorizing data based on a Z-statistic cutoff.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Language: en-US
VignetteBuilder: knitr
URL: https://github.com/dpagliaccio/scipub, https://dpagliaccio.github.io/scipub/
BugReports: https://github.com/dpagliaccio/scipub/issues
Depends: R (>= 3.6)
Imports: dplyr, forcats, purrr, stats, stringr, tibble, tidyr, tidyselect
Suggests: spelling, ggplot2, htmlTable, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-05-10 16:19:57 UTC; david
Author: David Pagliaccio [aut, cre] (<https://orcid.org/0000-0002-1214-1965>)
Maintainer: David Pagliaccio <david.pagliaccio@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-18 15:10:03 UTC

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New package Raquifer with initial version 0.1.0
Package: Raquifer
Type: Package
Title: Estimate the Water Influx into Hydrocarbon Reservoirs
Version: 0.1.0
Date: 2020-05-10
Authors@R: person(given = "Farshad", family = "Tabasinejad", role = c("aut", "cre"), email = "farshad.tabasinejad@susaenergy.com")
Description: Generate a table of cumulative water influx into hydrocarbon reservoirs over time using un-steady and pseudo-steady state models. Van Everdingen, A. F. and Hurst, W. (1949) <doi:10.2118/949305-G>. Fetkovich, M. J. (1971) <doi:10.2118/2603-PA>. Yildiz, T. and Khosravi, A. (2007) <doi:10.2118/103283-PA>.
License: GPL-3
URL: https://susaenergy.github.io/Raquifer_ws/
Imports: Rdpack, magrittr, dplyr, pracma, gsl
RdMacros: Rdpack
Suggests: knitr, rmarkdown, testthat, ggplot2
Language: en-US
Encoding: UTF-8
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-13 04:29:48 UTC; ftn60
Author: Farshad Tabasinejad [aut, cre]
Maintainer: Farshad Tabasinejad <farshad.tabasinejad@susaenergy.com>
Repository: CRAN
Date/Publication: 2020-05-18 15:30:06 UTC

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Package lcc updated to version 1.0.5 with previous version 1.0.4 dated 2020-02-13

Title: Longitudinal Concordance Correlation
Description: Estimates the longitudinal concordance correlation to access the longitudinal agreement profile. The estimation approach implemented is variance components approach based on polynomial mixed effects regression model, as proposed by Oliveira, Hinde and Zocchi (2018) <doi:10.1007/s13253-018-0321-1>. In addition, non-parametric confidence intervals were implemented using percentile method or normal-approximation based on Fisher Z-transformation.
Author: Thiago de Paula Oliveira [aut, cre], Rafael de Andrade Moral [aut], Silvio Sandoval Zocchi [ctb], Clarice Garcia Borges Demetrio [ctb], John Hinde [aut]
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@usp.br>

Diff between lcc versions 1.0.4 dated 2020-02-13 and 1.0.5 dated 2020-05-18

 lcc-1.0.4/lcc/README.md        |only
 lcc-1.0.5/lcc/DESCRIPTION      |   10 +-
 lcc-1.0.5/lcc/MD5              |   17 ++--
 lcc-1.0.5/lcc/NAMESPACE        |    3 
 lcc-1.0.5/lcc/R/ciBuilder.R    |    6 +
 lcc-1.0.5/lcc/R/init.R         |    6 +
 lcc-1.0.5/lcc/R/lcc.R          |   35 +++++++--
 lcc-1.0.5/lcc/R/lccBootstrap.R |  150 ++++++++++++++++++++++++++++++-----------
 lcc-1.0.5/lcc/R/lcc_internal.R |    6 -
 lcc-1.0.5/lcc/man/lcc.Rd       |   27 ++++++-
 10 files changed, 192 insertions(+), 68 deletions(-)

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New package leaflet.extras2 with initial version 1.0.0
Package: leaflet.extras2
Type: Package
Title: Extra Functionality for 'leaflet' Package
Version: 1.0.0
Authors@R: c( person("Gatscha", "Sebastian", email = "sebastian_gatscha@gmx.at", role = c("aut", "cre")) )
Description: Several 'leaflet' plugins are integrated, which are available as extension to the 'leaflet' package.
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0), leaflet (>= 2.0.0)
Imports: htmlwidgets, htmltools, magrittr, utils
Suggests: jsonlite, shiny, sf, geojsonsf, sp, testthat (>= 2.1.0), covr
URL: https://trafficonese.github.io/leaflet.extras2, https://github.com/trafficonese/leaflet.extras2
BugReports: https://github.com/trafficonese/leaflet.extras2/issues
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-05-12 18:45:09 UTC; gatscha
Author: Gatscha Sebastian [aut, cre]
Maintainer: Gatscha Sebastian <sebastian_gatscha@gmx.at>
Repository: CRAN
Date/Publication: 2020-05-18 15:10:06 UTC

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New package intcure with initial version 2.1
Encoding: UTF-8
Package: intcure
Title: Mixture Cure Models with Random Effects
Version: 2.1
Authors@R: person("Yingwei", "Peng", role = c("aut", "cre"), email = "yingwei.peng@queensu.ca")
Description: Mixture cure models with random effects to survival data as described in Peng and Taylor (2011) <doi:10.1002/sim.4098>.
Depends: survival, R (>= 3.5.0)
Imports: mvtnorm, cubature
License: GPL-3
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-12 20:06:26 UTC; Yingwei
Author: Yingwei Peng [aut, cre]
Maintainer: Yingwei Peng <yingwei.peng@queensu.ca>
Repository: CRAN
Date/Publication: 2020-05-18 15:10:11 UTC

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New package hydraulics with initial version 0.1.0
Package: hydraulics
Type: Package
Title: Basic Pipe Hydraulics
Version: 0.1.0
Author: Ed Maurer [aut, cre]
Maintainer: Ed Maurer <emaurer@scu.edu>
Description: Functions for basic hydraulic calculations related to water flow in circular pipes flowing full (under pressure). This includes friction loss calculations by solving the Darcy-Weisbach equation for head loss, flow or diameter, and plotting a Moody diagram. The Darcy-Weisbach friction factor is calculated using the Colebrook (or Colebrook-White equation), the basis of the Moody diagram, the original citation being Colebrook (1939) <doi:10.1680/ijoti.1939.13150>. The derivation of the Darcy-Weisbach equation and methods for its solution are outlined in many fluid mechanics texts such as Finnemore and Franzini (2002, ISBN:978-0072432022). This package is designed to work similarly to the 'iemisc' package, but with an emphasis on pipe flow.
License: GPL (>= 3)
Depends: R (>= 3.6.0)
Encoding: UTF-8
LazyData: true
Imports: ggplot2, grid, reshape2
Suggests:
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-05-12 20:29:26 UTC; edwinmaurer
Repository: CRAN
Date/Publication: 2020-05-18 15:10:14 UTC

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Package GroupBN updated to version 0.2.0 with previous version 0.1.0 dated 2020-05-01

Title: Learn Group Bayesian Networks using Hierarchical Clustering
Description: Learn group Bayesian Networks using hierarchical Clustering. This package implements the inference of group Bayesian networks based on hierarchical Clustering, and the adaptive refinement of the grouping regarding an outcome of interest.
Author: "Ann-Kristin Becker"
Maintainer: "Ann-Kristin Becker" <annkristinbecker@web.de>

Diff between GroupBN versions 0.1.0 dated 2020-05-01 and 0.2.0 dated 2020-05-18

 DESCRIPTION                   |   14 +-
 MD5                           |   18 +-
 NAMESPACE                     |    5 
 NEWS.md                       |only
 R/Refinement_final.R          |  100 +++++++++-------
 R/adaptive_refinement_help.R  |  261 ++++++++++++++++++++++++++++++++++++++----
 data/wine.groupbn.refined.rda |binary
 man/groupbn.Rd                |    3 
 man/groupbn.vis.html.plot.Rd  |    3 
 man/groupbn_refinement.Rd     |    6 
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 11 files changed, 327 insertions(+), 83 deletions(-)

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New package codexcopd with initial version 0.1.0
Package: codexcopd
Type: Package
Title: The CODEX (Comorbidity, Obstruction, Dyspnea, and Previous Severe Exacerbations) Index: Short and Medium-Term Prognosis in Patients Hospitalized for Chronic Obstructive Pulmonary Disease (COPD) Exacerbations
Version: 0.1.0
Authors@R: c( person("Aida", "Kazemi", email = "aidakazemi10@gmail.com", role = c("aut", "cph")), person("Amin", "Adibi", email = "adibi@alumni.ubc.ca", role = c("aut", "cre")))
Maintainer: Amin Adibi <adibi@alumni.ubc.ca>
Description: Predicts 3 to 12 months prognosis in Chronic Obstructive Pulmonary Disease (COPD) patients hospitalized for severe exacerbations, as described in Almagro et al. (2014) <doi:10.1378/chest.13-1328>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-12 21:49:23 UTC; maadibi
Author: Aida Kazemi [aut, cph], Amin Adibi [aut, cre]
Repository: CRAN
Date/Publication: 2020-05-18 15:20:10 UTC

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New package motifcluster with initial version 0.1.0
Package: motifcluster
Title: Motif-Based Spectral Clustering of Weighted Directed Networks
Version: 0.1.0
Authors@R: person(given = "William George", family = "Underwood", role = c("aut", "cre"), email = "wgu2@princeton.edu")
Description: Tools for spectral clustering of weighted directed networks using motif adjacency matrices. Methods perform well on large and sparse networks, and random sampling methods for generating weighted directed networks are also provided. Based on methodology detailed in Underwood, Elliott and Cucuringu (2020) <arXiv:2004.01293>.
URL: https://github.com/wgunderwood/motifcluster
Language: en-US
BugReports: https://github.com/wgunderwood/motifcluster/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 3.6.0)
Imports: igraph (>= 1.2.5), LICORS (>= 0.2.0), Matrix (>= 1.2), RSpectra (>= 0.16.0)
Suggests: covr (>= 3.5.0), knitr (>= 1.28), mclust (>= 5.4.6), rmarkdown (>= 2.1), testthat (>= 2.3.2)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-12 17:45:48 UTC; will
Author: William George Underwood [aut, cre]
Maintainer: William George Underwood <wgu2@princeton.edu>
Repository: CRAN
Date/Publication: 2020-05-18 14:50:02 UTC

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Package extremevalues updated to version 2.3.3 with previous version 2.3.2 dated 2016-01-20

Title: Univariate Outlier Detection
Description: Detect outliers in one-dimensional data.
Author: Mark van der Loo <mark.vanderloo@gmail.com>
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

Diff between extremevalues versions 2.3.2 dated 2016-01-20 and 2.3.3 dated 2020-05-18

 extremevalues-2.3.2/extremevalues/inst/doc/extremevalues21.pdf |only
 extremevalues-2.3.3/extremevalues/DESCRIPTION                  |    9 ++---
 extremevalues-2.3.3/extremevalues/MD5                          |   16 ++++++----
 extremevalues-2.3.3/extremevalues/NAMESPACE                    |    2 -
 extremevalues-2.3.3/extremevalues/NEWS                         |    4 ++
 extremevalues-2.3.3/extremevalues/R/evGui.r                    |   14 ++++++--
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 11 files changed, 30 insertions(+), 17 deletions(-)

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Package DSSAT updated to version 0.0.2 with previous version 0.0.1 dated 2020-03-19

Title: A Comprehensive R Interface for the DSSAT Cropping Systems Model
Description: The purpose of this package is to provide a comprehensive R interface to the Decision Support System for Agrotechnology Transfer Cropping Systems Model (DSSAT-CSM) documented by Jones et al (2003) <doi:10.1016/S1161-0301(02)00107-7>. The package provides cross-platform functions to read and write input files, run DSSAT-CSM, and read output files.
Author: Phillip D. Alderman [aut, cre]
Maintainer: Phillip D. Alderman <phillip.alderman@okstate.edu>

Diff between DSSAT versions 0.0.1 dated 2020-03-19 and 0.0.2 dated 2020-05-18

 DESCRIPTION                      |    8 +++---
 MD5                              |   48 +++++++++++++++++++--------------------
 NEWS.md                          |    4 +++
 R/collapse_rows.R                |   10 ++++----
 README.md                        |    2 -
 man/combine_tiers.Rd             |    3 --
 man/header_to_fwf_position.Rd    |    9 +++++--
 man/read_cul.Rd                  |    9 ++++---
 man/read_dssat.Rd                |   10 ++++++--
 man/read_eco.Rd                  |    9 ++++---
 man/read_filea.Rd                |    3 --
 man/read_filet.Rd                |    3 --
 man/read_filex.Rd                |    3 --
 man/read_output.Rd               |    9 +++++--
 man/read_soil_profile.Rd         |    8 ++++--
 man/read_sol.Rd                  |    9 +++++--
 man/read_tier.Rd                 |   13 ++++++++--
 man/read_tier_data.Rd            |   14 ++++++++---
 man/write_dssbatch.Rd            |    3 --
 man/write_dssbatch.data.frame.Rd |    3 --
 man/write_dssbatch.default.Rd    |    3 --
 man/write_dssbatch.tbl_df.Rd     |    3 --
 man/write_filex.Rd               |    3 --
 man/write_sol.Rd                 |    3 --
 man/write_tier.Rd                |    8 ++++--
 25 files changed, 122 insertions(+), 78 deletions(-)

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New package DRDID with initial version 1.0.0
Package: DRDID
Type: Package
Title: Doubly Robust Difference-in-Differences Estimators
Version: 1.0.0
Authors@R: c(person("Pedro H. C.", "Sant'Anna", email = "pedro.h.santanna@vanderbilt.edu", role = c("aut", "cre")), person("Jun B.", "Zhao", email = "jun.zhao@vanderbilt.edu",role = c("aut")) )
Description: Implements the locally efficient doubly robust difference-in-differences (DiD) estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020) <arXiv:1812.01723>. The estimator combines inverse probability weighting and outcome regression estimators (also implemented in the package) to form estimators with more attractive statistical properties. Two different estimation methods can be used to estimate the nuisance functions.
URL: https://pedrohcgs.github.io/DRDID/, https://github.com/pedrohcgs/DRDID
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4)
Imports: stats, trust, BMisc (>= 1.4.1)
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown, spelling, testthat, covr
Date: 2020-05-12 13:00
Language: en-US
BugReports: https://github.com/pedrohcgs/DRDID/issues
NeedsCompilation: no
Packaged: 2020-05-12 17:46:49 UTC; santanph
Author: Pedro H. C. Sant'Anna [aut, cre], Jun B. Zhao [aut]
Maintainer: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>
Repository: CRAN
Date/Publication: 2020-05-18 14:50:10 UTC

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Package DeCAFS updated to version 3.1.5 with previous version 3.1.4 dated 2020-05-11

Title: Detecting Changes in Autocorrelated and Fluctuating Signals
Description: Detect abrupt changes in time series with local fluctuations as a random walk process and autocorrelated noise as an AR(1) process. See Romano, G., Rigaill, G., Runge, V., Fearnhead, P. (2020) <arXiv:2005.01379>.
Author: Gaetano Romano [aut, cre], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

Diff between DeCAFS versions 3.1.4 dated 2020-05-11 and 3.1.5 dated 2020-05-18

 DESCRIPTION         |    8 ++--
 MD5                 |   24 ++++++-------
 R/DeCAFS.R          |   15 +++++---
 R/RcppExports.R     |    2 -
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 src/algorithms.cpp  |   96 ++++++++++++++++++++++++++--------------------------
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 13 files changed, 131 insertions(+), 117 deletions(-)

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Package DSOpal updated to version 1.1.0 with previous version 1.0.0 dated 2020-04-27

Title: 'DataSHIELD' Implementation for 'Opal'
Description: 'DataSHIELD' is an infrastructure and series of R packages that enables the remote and 'non-disclosive' analysis of sensitive research data. This package is the 'DataSHIELD' interface implementation for 'Opal', which is the data integration application for biobanks by 'OBiBa'. Participant data, once collected from any data source, must be integrated and stored in a central data repository under a uniform model. 'Opal' is such a central repository. It can import, process, validate, query, analyze, report, and export data. 'Opal' is the reference implementation of the 'DataSHIELD' infrastructure.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>), Becca Wilson [ctb] (<https://orcid.org/0000-0003-2294-593X>), OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between DSOpal versions 1.0.0 dated 2020-04-27 and 1.1.0 dated 2020-05-18

 DESCRIPTION                                   |    8 -
 MD5                                           |   14 ++-
 NAMESPACE                                     |    3 
 R/OpalConnection.R                            |  112 +++++++++++++++++++++++++-
 R/datashield.assign.r                         |   23 +++++
 inst/examples/datashield-api.R                |   11 ++
 man/dot-datashield.assign.resource.Rd         |only
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 10 files changed, 160 insertions(+), 11 deletions(-)

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Package DSLite updated to version 1.1.0 with previous version 1.0.0 dated 2020-04-10

Title: 'DataSHIELD' Implementation on Local Datasets
Description: 'DataSHIELD' is an infrastructure and series of R packages that enables the remote and 'non-disclosive' analysis of sensitive research data. This 'DataSHIELD Interface' implementation is for analyzing datasets living in the current R session. The purpose of this is primarily for lightweight 'DataSHIELD' analysis package development.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>)
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between DSLite versions 1.0.0 dated 2020-04-10 and 1.1.0 dated 2020-05-18

 DESCRIPTION                                     |   10 ++--
 MD5                                             |   20 +++++---
 NAMESPACE                                       |    3 +
 R/DSLiteConnection.R                            |   54 +++++++++++++++++++++++-
 R/DSLiteServer.R                                |   44 +++++++++++++++++--
 README.md                                       |    1 
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 13 files changed, 177 insertions(+), 18 deletions(-)

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Package ConR updated to version 1.3.0 with previous version 1.2.4 dated 2019-10-14

Title: Computation of Parameters Used in Preliminary Assessment of Conservation Status
Description: Multi-species estimation of geographical range parameters for preliminary assessment of conservation status following Criterion B of the International Union for Conservation of Nature (IUCN, see <http://www.iucnredlist.org>).
Author: Gilles Dauby [cre, aut] (<https://orcid.org/0000-0002-9498-413X>)
Maintainer: Gilles Dauby <gildauby@gmail.com>

Diff between ConR versions 1.2.4 dated 2019-10-14 and 1.3.0 dated 2020-05-18

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Package BMRSr updated to version 1.0.1 with previous version 1.0.0 dated 2019-09-03

Title: Wrapper Functions to the 'BMRS API'
Description: A set of wrapper functions to better interact with the 'Balancing Mechanism Reporting System API'.
Author: Adam Rawles [aut, cre]
Maintainer: Adam Rawles <adamrawles@hotmail.co.uk>

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Package tinytest updated to version 1.2.1 with previous version 1.2.0 dated 2020-05-06

Title: Lightweight and Feature Complete Unit Testing Framework
Description: Provides a lightweight (zero-dependency) and easy to use unit testing framework. Main features: install tests with the package. Test results are treated as data that can be stored and manipulated. Test files are R scripts interspersed with test commands, that can be programmed over. Fully automated build-install-test sequence for packages. Skip tests when not run locally (e.g. on CRAN). Flexible and configurable output printing. Compare computed output with output stored with the package. Run tests in parallel. Extensible by other packages. Report side effects.
Author: Mark van der Loo [aut, cre] (<https://orcid.org/0000-0002-9807-4686>)
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package opalr updated to version 1.4.0 with previous version 1.3.0 dated 2019-12-10

Title: 'Opal' Data Repository Client and 'DataSHIELD' Utils
Description: Data integration Web application for biobanks by 'OBiBa'. 'Opal' is the core database application for biobanks. Participant data, once collected from any data source, must be integrated and stored in a central data repository under a uniform model. 'Opal' is such a central repository. It can import, process, validate, query, analyze, report, and export data. 'Opal' is typically used in a research center to analyze the data acquired at assessment centres. Its ultimate purpose is to achieve seamless data-sharing among biobanks. This 'Opal' client allows to interact with 'Opal' web services and to perform operations on the R server side. 'DataSHIELD' administration tools are also provided.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>), Amadou Gaye [ctb] (<https://orcid.org/0000-0002-1180-2792>), OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

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Package hdme updated to version 0.3.3 with previous version 0.3.2 dated 2019-11-11

Title: High-Dimensional Regression with Measurement Error
Description: Penalized regression for generalized linear models for measurement error problems (aka. errors-in-variables). The package contains a version of the lasso (L1-penalization) which corrects for measurement error (Sorensen et al. (2015) <doi:10.5705/ss.2013.180>). It also contains an implementation of the Generalized Matrix Uncertainty Selector, which is a version the (Generalized) Dantzig Selector for the case of measurement error (Sorensen et al. (2018) <doi:10.1080/10618600.2018.1425626>).
Author: Oystein Sorensen
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

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Package gstat updated to version 2.0-6 with previous version 2.0-5 dated 2020-04-04

Title: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Description: Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Benedikt Graeler [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package DSI updated to version 1.1.0 with previous version 1.0.0 dated 2020-04-03

Title: 'DataSHIELD' Interface
Description: 'DataSHIELD' is an infrastructure and series of R packages that enables the remote and 'non-disclosive' analysis of sensitive research data. This package defines the API that is to be implemented by 'DataSHIELD' compliant data repositories.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>), Amadou Gaye [ctb] (<https://orcid.org/0000-0002-1180-2792>), Paul Burton [ctb]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

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Package crfsuite updated to version 0.3.2 with previous version 0.3.1 dated 2020-04-27

Title: Conditional Random Fields for Labelling Sequential Data in Natural Language Processing
Description: Wraps the 'CRFsuite' library <https://github.com/chokkan/crfsuite> allowing users to fit a Conditional Random Field model and to apply it on existing data. The focus of the implementation is in the area of Natural Language Processing where this R package allows you to easily build and apply models for named entity recognition, text chunking, part of speech tagging, intent recognition or classification of any category you have in mind. Next to training, a small web application is included in the package to allow you to easily construct training data.
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Naoaki Okazaki [aut, ctb, cph] (CRFsuite library (BSD licensed), libLBFGS library (MIT licensed), Constant Quark Database software (BSD licensed)), Bob Jenkins [aut, ctb] (File src/cqdb/src/lookup3.c (Public Domain)), Jorge Nocedal [aut, ctb, cph] (libLBFGS library (MIT licensed)), Jesse Long [aut, ctb, cph] (RumAVL library (MIT licensed))
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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New package arcos with initial version 1.1
Package: arcos
Type: Package
Title: Load ARCOS Prescription Data Prepared by the Washington Post
Version: 1.1
Date: 2020-04-18
Authors@R: c( person(given="Steven", family="Rich", email="steven.rich@washpost.com",role=c("aut", "ctb")), person(given="Andrew", family="Ba Tran", email="andrew.tran@washpost.com", role=c("aut", "cre")), person(given="Aaron", family="Williams", email="aaron.williams@washpost.com", role=c("aut", "ctb")), person(given="Jason", family="Holt", email="jason.holt@washpost.com", role=c("ctb")), person(given="The Washington Post", role=c("cph")), person(given="The Charleston Gazette-Mail", role=c("cph")) )
URL: https://github.com/wpinvestigative/arcos
BugReports: https://github.com/wpinvestigative/arcos/issues
Description: A wrapper for the 'ARCOS API' <https://arcos-api.ext.nile.works/__swagger__/> that returns raw and summarized data frames from the Drug Enforcement Administration’s Automation of Reports and Consolidated Orders System, a database that monitors controlled substances transactions between manufacturers and distributors which was made public by The Washington Post and The Charleston Gazette-Mail.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Suggests: ggplot2, forcats, leaflet, knitr, sf, tigris, testthat (>= 2.1.0), rmarkdown, data.table, formattable, geofacet, lubridate, scales, viridis
Imports: stringr, magrittr, jsonlite, dplyr, urltools, vroom
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-16 20:34:44 UTC; trana
Author: Steven Rich [aut, ctb], Andrew Ba Tran [aut, cre], Aaron Williams [aut, ctb], Jason Holt [ctb], The Washington Post [cph], The Charleston Gazette-Mail [cph]
Maintainer: Andrew Ba Tran <andrew.tran@washpost.com>
Repository: CRAN
Date/Publication: 2020-05-18 10:40:07 UTC

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Package smoothSurv updated to version 2.2 with previous version 2.1 dated 2020-02-10

Title: Survival Regression with Smoothed Error Distribution
Description: Contains, as a main contribution, a function to fit a regression model with possibly right, left or interval censored observations and with the error distribution expressed as a mixture of G-splines. Core part of the computation is done in compiled C++ written using the Scythe Statistical Library Version 0.3.
Author: Arnošt Komárek <arnost.komarek@mff.cuni.cz>
Maintainer: Arnošt Komárek <arnost.komarek@mff.cuni.cz>

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Package mosaic updated to version 1.7.0 with previous version 1.6.0 dated 2020-03-06

Title: Project MOSAIC Statistics and Mathematics Teaching Utilities
Description: Data sets and utilities from Project MOSAIC (<http://mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
Author: Randall Pruim [aut, cre], Daniel T. Kaplan [aut], Nicholas J. Horton [aut]
Maintainer: Randall Pruim <rpruim@calvin.edu>

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Package gaiah updated to version 0.0.4 with previous version 0.0.2 dated 2017-03-02

Title: Genetic and Isotopic Assignment Accounting for Habitat Suitability
Description: Tools for using genetic markers, stable isotope data, and habitat suitability data to calculate posterior probabilities of breeding origin of migrating birds.
Author: Eric C. Anderson [cre, aut]
Maintainer: Eric C. Anderson <eric.anderson@noaa.gov>

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New package FeatureImpCluster with initial version 0.1.2
Package: FeatureImpCluster
Title: Feature Importance for Partitional Clustering
Version: 0.1.2
Authors@R: person(given = "Oliver", family = "Pfaffel", role = c("aut", "cre"), email = "opfaffel@gmail.com")
Description: Implements a novel approach for measuring feature importance in k-means clustering. Importance of a feature is measured by the misclassification rate relative to the baseline cluster assignment due to a random permutation of feature values.
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: flexclust, clustMixType, knitr, rmarkdown, testthat, attempt, ClustImpute, covr
Imports: ggplot2
RoxygenNote: 7.1.0
Depends: data.table
NeedsCompilation: no
Packaged: 2020-05-11 22:03:22 UTC; opfaf
Author: Oliver Pfaffel [aut, cre]
Maintainer: Oliver Pfaffel <opfaffel@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-18 09:40:02 UTC

More information about FeatureImpCluster at CRAN
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Package COVID19 updated to version 2.0.0 with previous version 1.0.0 dated 2020-04-20

Title: R Interface to COVID-19 Data Hub
Description: Unified datasets for a better understanding of COVID-19. The package collects COVID-19 data across governmental sources, includes policy measures from 'Oxford COVID-19 Government Response Tracker' <https://www.bsg.ox.ac.uk/covidtracker>, and extends the dataset via an interface to 'World Bank Open Data' <https://data.worldbank.org/>, 'Google Mobility Reports' <https://www.google.com/covid19/mobility/>, 'Apple Mobility Reports' <https://www.apple.com/covid19/mobility>.
Author: Emanuele Guidotti [aut, cre] (<https://orcid.org/0000-0002-8961-6623>), David Ardia [ctb] (<https://orcid.org/0000-0003-2823-782X>)
Maintainer: Emanuele Guidotti <emanuele.guidotti@unine.ch>

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New package zonator with initial version 0.6.0
Package: zonator
Type: Package
Title: Utilities for Zonation Spatial Conservation Prioritization Software
Version: 0.6.0
Date: 2020-05-16
Authors@R: c( person("Joona" , "Lehtomaki", role = c("aut", "cre"), email = "joona.lehtomaki@gmail.com"))
License: FreeBSD
Encoding: UTF-8
Maintainer: Joona Lehtomaki <joona.lehtomaki@gmail.com>
Description: Create new analysis setups and deal with results of Zonation conservation prioritization software <https://github.com/cbig/zonation-core>. This package uses data available in the 'zdat' (7.7 MB) package for building the vignettes.
Imports: ggplot2 (>= 2.0.0), methods, RColorBrewer, raster, reshape2, rgdal
Depends: R (>= 2.15.2)
Suggests: knitr, rasterVis, rmarkdown, testthat, zdat (>= 0.1.0)
StagedInstall: yes
Additional_repositories: https://jlehtoma.github.io/drat
URL: https://cbig.github.io/zonator/
BugReports: https://github.com/cbig/zonator/issues
VignetteBuilder: knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-17 13:11:34 UTC; jlehtoma
Author: Joona Lehtomaki [aut, cre]
Repository: CRAN
Date/Publication: 2020-05-18 08:50:02 UTC

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Package polyglot updated to version 0.3.0 with previous version 0.2.1 dated 2018-11-01

Title: Learn Foreign Language Vocabulary
Description: Use the R console as an interactive learning environment to memorize any two columns dataset.
Author: Félix Luginbuhl [aut, cre]
Maintainer: Félix Luginbuhl <felix.luginbuhl@protonmail.ch>

Diff between polyglot versions 0.2.1 dated 2018-11-01 and 0.3.0 dated 2020-05-18

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New package maGUI with initial version 2.4
Package: maGUI
Type: Package
Title: A Graphical User Interface for Microarray Data Analysis and Annotation
Version: 2.4
Date: 2020-05-16
Author: Dhammapal Bharne, Vaibhav Vindal
Maintainer: Dhammapal Bharne <dhammapalb@gmail.com>
Imports: Biobase, Biostrings, BiocManager, RSQLite, convert, marray, GEOquery, GEOmetadb, amap, RGtk2, gWidgets2, gWidgets2RGtk2, tcltk, RBGL, WGCNA, Rgraphviz, KEGGREST, KEGGgraph, grDevices, cairoDevice, graphics, stats, utils, methods, pdInfoBuilder, lumi, oligo, graph, limma, affy, genefilter, simpleaffy, impute, beadarray, GOstats, GO.db, globaltest, ssize, Category, annotate
Description: Provides a Graphical User Interface for Analysing DNA Microarray Data. It performs functional enrichment on genes of interest, identifies gene symbols and also builds co-expression network.
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
Repository: CRAN
Packaged: 2020-05-16 18:00:33 UTC; dhamma
Date/Publication: 2020-05-18 08:50:07 UTC

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Package LUCIDus updated to version 2.0.0 with previous version 1.0.0 dated 2019-12-02

Title: Latent Unknown Clustering with Integrated Data
Description: An implementation for the 'LUCID' model (Peng (2019) <doi:10.1093/bioinformatics/btz667>) to jointly estimate latent unknown clusters/subgroups with integrated data. An EM algorithm is used to obtain the latent cluster assignment and model parameter estimates. Feature selection is achieved by applying the L1 regularization method.
Author: Yinqi Zhao, Cheng Peng, Zhao Yang, David V. Conti
Maintainer: Yinqi Zhao <yinqiz@usc.edu>

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Package ledger updated to version 2.0.7 with previous version 2.0.6 dated 2020-02-16

Title: Utilities for Importing Data from Plain Text Accounting Files
Description: Utilities for querying plain text accounting files from 'Ledger', 'HLedger', and 'Beancount'.
Author: Trevor L Davis [aut, cre], Jenya Sovetkin [ctb], Chris Lloyd [ctb]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between ledger versions 2.0.6 dated 2020-02-16 and 2.0.7 dated 2020-05-18

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Package ComparisonSurv updated to version 1.0.9 with previous version 1.0.8 dated 2019-12-15

Title: Comparison of Survival Curves Between Two Groups
Description: Various statistical methods for survival analysis in comparing survival curves between two groups, including overall hypothesis tests described in Li et al. (2015) <doi:10.1371/journal.pone.0116774>, fixed-point tests in Klein et al. (2007) <doi:10.1002/sim.2864>, short-term tests, and long-term tests in Logan et al. (2008) <doi:10.1111/j.1541-0420.2007.00975.x>. Some commonly used descriptive statistics and plots are also included.
Author: Jingjing Lyu [aut], Zheng Chen [cre], Huimin Li [ctb], Jinbao Chen [ctb], Xinghui Huang [ctb]
Maintainer: Zheng Chen <zchen@smu.edu.cn>

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Package BEST updated to version 0.5.2 with previous version 0.5.1 dated 2018-04-19

Title: Bayesian Estimation Supersedes the t-Test
Description: An alternative to t-tests, producing posterior estimates for group means and standard deviations and their differences and effect sizes.
Author: John K. Kruschke and Mike Meredith
Maintainer: Mike Meredith <mike@mmeredith.net>

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Package porridge updated to version 0.1.0 with previous version 0.0.4 dated 2019-12-16

Title: Ridge-Type Penalized Estimation of a Potpourri of Models
Description: The name of the package is derived from the French, 'pour' ridge, and provides functionality for ridge-type estimation of a potpourri of models. Currently, this estimation concerns that of various Gaussian graphical models from different study designs. Among others it considers the regular Gaussian graphical model and a mixture of such models. The porridge-package implements the estimation of the former either from i) data with replicated observations by penalized loglikelihood maximization using the regular ridge penalty on the parameters (van Wieringen, Chen, 2019) or ii) from non-replicated data by means of the generalized ridge estimator that allows for both the inclusion of quantitative and qualitative prior information on the precision matrix via element-wise penalization and shrinkage (van Wieringen, 2019, <doi.org/10.1080/10618600.2019.1604374>). Additionally, the porridge-package facilitates the ridge penalized estimation of a mixture of Gaussian graphical models (Aflakparast et al., 2018, <doi.org/10.1002/bimj.201700102>).
Author: Wessel N. van Wieringen [aut, cre], Mehran Aflakparast [ctb] (part of the R-code of the mixture functionality)
Maintainer: Wessel N. van Wieringen <w.vanwieringen@vumc.nl>

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Package ropenblas updated to version 0.2.5 with previous version 0.2.4 dated 2020-04-23

Title: Download, Compile and Link 'OpenBLAS' Library with R
Description: The 'ropenblas' package (<https://prdm0.github.io/ropenblas/>) is useful for users of any 'GNU/Linux' distribution. It will be possible to download, compile and link the 'OpenBLAS' library (<https://www.openblas.net/>) with the R language, always by the same procedure, regardless of the 'GNU/Linux' distribution used. With the 'ropenblas' package it is possible to download, compile and link the latest version of the 'OpenBLAS' library even the repositories of the 'GNU/Linux' distribution used do not include the latest versions of 'OpenBLAS'. If of interest, older versions of the 'OpenBLAS' library may be considered. Linking R with an optimized version of 'BLAS' (<http://www.netlib.org/blas/>) may improve the computational performance of R code. The 'OpenBLAS' library is an optimized implementation of 'BLAS' that can be easily linked to R with the 'ropenblas' package.
Author: Pedro Rafael D. Marinho [aut, cre]
Maintainer: Pedro Rafael D. Marinho <pedro.rafael.marinho@gmail.com>

Diff between ropenblas versions 0.2.4 dated 2020-04-23 and 0.2.5 dated 2020-05-18

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Package recosystem updated to version 0.4.3 with previous version 0.4.2 dated 2017-09-02

Title: Recommender System using Matrix Factorization
Description: R wrapper of the 'libmf' library <http://www.csie.ntu.edu.tw/~cjlin/libmf/> for recommender system using matrix factorization. It is typically used to approximate an incomplete matrix using the product of two matrices in a latent space. Other common names for this task include "collaborative filtering", "matrix completion", "matrix recovery", etc. High performance multi-core parallel computing is supported in this package.
Author: Yixuan Qiu, Chih-Jen Lin, Yu-Chin Juan, Wei-Sheng Chin, Yong Zhuang, Bo-Wen Yuan, Meng-Yuan Yang, and other contributors. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between recosystem versions 0.4.2 dated 2017-09-02 and 0.4.3 dated 2020-05-18

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Package PoisNor updated to version 1.3.2 with previous version 1.3.1 dated 2019-05-14

Title: Simultaneous Generation of Multivariate Data with Poisson and Normal Marginals
Description: Generates multivariate data with count and continuous variables with a pre-specified correlation matrix. The count and continuous variables are assumed to have Poisson and normal marginals, respectively. The data generation mechanism is a combination of the normal to anything principle and a connection between Poisson and normal correlations in the mixture. The details of the method are explained in Yahav et al. (2012) <DOI:10.1002/asmb.901>.
Author: Anup Amatya, Hakan Demirtas, Ran Gao
Maintainer: Ran Gao <rgao8@uic.edu>

Diff between PoisNor versions 1.3.1 dated 2019-05-14 and 1.3.2 dated 2020-05-18

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Package Immigrate updated to version 0.1.1 with previous version 0.0.2 dated 2019-01-21

Title: Iterative Max-Min Entropy Margin-Maximization with Interaction Terms for Feature Selection
Description: Based on large margin principle, this package performs feature selection methods: "IM4E"(Iterative Margin-Maximization under Max-Min Entropy Algorithm); "Immigrate"(Iterative Max-Min Entropy Margin-Maximization with Interaction Terms Algorithm); "BIM"(Boosted version of IMMIGRATE algorithm); "Simba"(Iterative Search Margin Based Algorithm); "LFE"(Local Feature Extraction Algorithm). This package also performs prediction for the above feature selection methods.
Author: Ruzhang Zhao, Pengyu Hong, Jun S. Liu
Maintainer: Ruzhang Zhao<zrz6787@gmail.com>

Diff between Immigrate versions 0.0.2 dated 2019-01-21 and 0.1.1 dated 2020-05-18

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Package ftsa updated to version 5.7 with previous version 5.6 dated 2020-04-23

Title: Functional Time Series Analysis
Description: Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
Author: Rob Hyndman [aut] (<https://orcid.org/0000-0002-2140-5352>), Han Lin Shang [aut, cre, cph] (<https://orcid.org/0000-0003-1769-6430>)
Maintainer: Han Lin Shang <hanlin.shang@anu.edu.au>

Diff between ftsa versions 5.6 dated 2020-04-23 and 5.7 dated 2020-05-18

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Package ProbitSpatial (with last version 1.0) was removed from CRAN

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

2016-03-08 1.0

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Package rkeops (with last version 1.4) was removed from CRAN

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

2020-03-20 1.4

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