Fri, 02 Apr 2021

Package DET updated to version 3.0.1 with previous version 3.0.0 dated 2021-04-01

Title: Representation of DET Curve with Confidence Intervals
Description: Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors, which are the results of a binary classification system. The curves give a general vision of the performance of the classifier, and are useful for comparing performance of different systems.
Author: García-Ródenas, Álvaro [aut, cre], Franco, Manuel [aut], Vivo, Juana-María [aut], Fernández-Breis, Jesualdo T. [aut], Font, Roberto [aut]
Maintainer: "García-Ródenas, Álvaro" <alvaro.garcia9@um.es>

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Package samplingbook updated to version 1.2.4 with previous version 1.2.2 dated 2017-05-22

Title: Survey Sampling Procedures
Description: Sampling procedures from the book 'Stichproben - Methoden und praktische Umsetzung mit R' by Goeran Kauermann and Helmut Kuechenhoff (2010).
Author: Juliane Manitz [aut,cre], Mark Hempelmann [ctb], Goeran Kauermann [ctb], Helmut Kuechenhoff [aut], Shuai Shao [ctb], Cornelia Oberhauser [ctb], Nina Westerheide [ctb], Manuel Wiesenfarth [ctb]
Maintainer: Juliane Manitz <r@manitz.org>

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Package RTransferEntropy updated to version 0.2.14 with previous version 0.2.13 dated 2020-12-17

Title: Measuring Information Flow Between Time Series with Shannon and Renyi Transfer Entropy
Description: Measuring information flow between time series with Shannon and Rényi transfer entropy. See also Dimpfl and Peter (2013) <doi:10.1515/snde-2012-0044> and Dimpfl and Peter (2014) <doi:10.1016/j.intfin.2014.03.004> for theory and applications to financial time series. Additional references can be found in the theory part of the vignette.
Author: David Zimmermann [aut, cre], Simon Behrendt [aut], Thomas Dimpfl [aut], Franziska Peter [aut]
Maintainer: David Zimmermann <david_j_zimmermann@hotmail.com>

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Package nhdplusTools updated to version 0.4.0 with previous version 0.3.16 dated 2020-11-13

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre], Mike Johnson [ctb] (<https://orcid.org/0000-0002-5288-8350>)
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package miWQS updated to version 0.4.4 with previous version 0.4.2 dated 2021-01-21

Title: Multiple Imputation Using Weighted Quantile Sum Regression
Description: The miWQS package handles the uncertainty due to below the detection limit in a correlated component mixture problem. Researchers want to determine if a set/mixture of continuous and correlated components/chemicals is associated with an outcome and if so, which components are important in that mixture. These components share a common outcome but are interval-censored between zero and low thresholds, or detection limits, that may be different across the components. This package applies the multiple imputation (MI) procedure to the weighted quantile sum regression (WQS) methodology for continuous, binary, or count outcomes (Hargarten & Wheeler (2020) <doi:10.1016/j.envres.2020.109466>). The imputation models are: bootstrapping imputation (Lubin et.al (2004) <doi:10.1289/ehp.7199>), univariate Bayesian imputation (Hargarten & Wheeler (2020) <doi:10.1016/j.envres.2020.109466>), and multivariate Bayesian regression imputation.
Author: Paul M. Hargarten [aut, cre], David C. Wheeler [aut, rev, ths]
Maintainer: Paul M. Hargarten <hargartenp@alumni.vcu.edu>

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Package httpgd updated to version 1.1.1 with previous version 1.1.0 dated 2021-04-01

Title: A 'HTTP' Server Graphics Device
Description: A graphics device for R that is accessible via network protocols. This package was created to make it easier to embed live R graphics in integrated development environments and other applications. The included 'HTML/JavaScript' client (plot viewer) aims to provide a better overall user experience when dealing with R graphics. The device asynchronously serves 'SVG' graphics via 'HTTP' and 'WebSockets'.
Author: Florian Rupprecht [aut, cre] (<https://orcid.org/0000-0002-1795-8624>), Kun Ren [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Hadley Wickham [cph] (Author of included svglite code), Lionel Henry [cph] (Author of included svglite code), Thomas Lin Pedersen [cph] (Author and creator of included svglite code), T Jake Luciani [cph] (Author of included svglite code), Matthieu Decorde [cph] (Author of included svglite code), Vaudor Lise [cph] (Author of included svglite code), Tony Plate [cph] (Contributor to included svglite code), David Gohel [cph] (Contributor to included svglite code), Yixuan Qiu [cph] (Contributor to included svglite code), Håkon Malmedal [cph] (Contributor to included svglite code), RStudio [cph] (Copyright holder of included svglite code), Brett Robinson [cph] (Author of included belle library), Google [cph] (Copyright holder of included material design icons), Victor Zverovich [cph] (Author of included fmt library)
Maintainer: Florian Rupprecht <floruppr@gmail.com>

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Package reprex updated to version 2.0.0 with previous version 1.0.0 dated 2021-01-27

Title: Prepare Reproducible Example Code via the Clipboard
Description: Convenience wrapper that uses the 'rmarkdown' package to render small snippets of code to target formats that include both code and output. The goal is to encourage the sharing of small, reproducible, and runnable examples on code-oriented websites, such as <https://stackoverflow.com> and <https://github.com>, or in email. The user's clipboard is the default source of input code and the default target for rendered output. 'reprex' also extracts clean, runnable R code from various common formats, such as copy/paste from an R session.
Author: Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), Jim Hester [aut] (<https://orcid.org/0000-0002-2739-7082>), David Robinson [aut], Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package discourseGT updated to version 1.1.5 with previous version 1.1.4 dated 2021-02-17

Title: Analyze Group Patterns using Graph Theory in Educational Settings
Description: Analyzes group patterns using discourse analysis data with graph theory mathematics. Takes the order of which individuals talk and converts it to a network edge and weight list. Returns the density, centrality, centralization, and subgroup information for each group. Based on the analytical framework laid out in Chai et al. (2019) <doi:10.1187/cbe.18-11-0222>.
Author: Albert Chai [aut], Andrew Lee [aut], Joshua Le [aut, cre], Katherine Ly [ctb], Kevin Banh [ctb], Priya Pahal [ctb], Stanley Lo [aut]
Maintainer: Joshua Le <jpl038@ucsd.edu>

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Package editData updated to version 0.1.8 with previous version 0.1.2 dated 2017-10-07

Title: 'RStudio' Addin for Editing a 'data.frame'
Description: An 'RStudio' addin for editing a 'data.frame' or a 'tibble'. You can delete, add or update a 'data.frame' without coding. You can get resultant data as a 'data.frame'. In the package, modularized 'shiny' app codes are provided. These modules are intended for reuse across applications.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package officer updated to version 0.3.18 with previous version 0.3.17 dated 2021-03-05

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. 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] (function annotate_base), John Muschelli [ctb] (google doc compatibility)
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package listcompr updated to version 0.2.0 with previous version 0.1.0 dated 2021-01-13

Title: List Comprehension for R
Description: Syntactic shortcuts for creating synthetic lists, vectors, and data frames using list comprehension.
Author: Patrick Roocks <mail@p-roocks.de>
Maintainer: Patrick Roocks <mail@p-roocks.de>

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Package lefko3 updated to version 3.4.0 with previous version 3.3.2 dated 2021-02-26

Title: Historical and Ahistorical Population Projection Matrix Analysis
Description: Creates matrix population models for use in population ecological analyses. Specializes on the construction of historical matrices, which are 2d matrices comprising 3 consecutive times of demographic information. Estimates both raw and function-based forms of historical and standard ahistorical matrices. It also estimates function-based age-by-stage matrices. Methodology based on Ehrlen (2000) <doi:10.1890/0012-9658(2000)081[1675:TDOPPD]2.0.CO;2>.
Author: Richard P. Shefferson [aut, cre] (<https://orcid.org/0000-0002-5234-3131>), Johan Ehrlen [aut] (<https://orcid.org/0000-0001-8539-8967>)
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>

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Package HiClimR updated to version 2.1.9 with previous version 2.1.8 dated 2021-01-05

Title: Hierarchical Climate Regionalization
Description: A tool for Hierarchical Climate Regionalization applicable to any correlation-based clustering. It adds several features and a new clustering method (called, 'regional' linkage) to hierarchical clustering in R ('hclust' function in 'stats' library): data regridding, coarsening spatial resolution, geographic masking, contiguity-constrained clustering, data filtering by mean and/or variance thresholds, data preprocessing (detrending, standardization, and PCA), faster correlation function with preliminary big data support, different clustering methods, hybrid hierarchical clustering, multivariate clustering (MVC), cluster validation, visualization of regionalization results, and exporting region map and mean timeseries into NetCDF-4 file. The technical details are described in Badr et al. (2015) <doi:10.1007/s12145-015-0221-7>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>), Benjamin F. Zaitchik [aut] (<https://orcid.org/0000-0002-0698-0658>), Amin K. Dezfuli [aut] (<https://orcid.org/0000-0003-3274-8542>)
Maintainer: Hamada S. Badr <badr@jhu.edu>

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Package googleAuthR updated to version 1.4.0 with previous version 1.3.1 dated 2020-12-05

Title: Authenticate and Create Google APIs
Description: Create R functions that interact with OAuth2 Google APIs <https://developers.google.com/apis-explorer/> easily, with auto-refresh and Shiny compatibility.
Author: Mark Edmondson [aut, cre] (<https://orcid.org/0000-0002-8434-3881>), Jennifer Bryan [ctb], Johann deBoer [ctb], Neal Richardson [ctb], David Kulp [ctb], Joe Cheng [ctb]
Maintainer: Mark Edmondson <m@sunholo.com>

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Package geodiv updated to version 1.0.1 with previous version 1.0.0 dated 2021-03-30

Title: Methods for Calculating Gradient Surface Metrics
Description: Methods for calculating gradient surface metrics for continuous analysis of landscape features.
Author: Annie C. Smith, Phoebe Zarnetske, Kyla Dahlin, Adam Wilson, Andrew Latimer
Maintainer: Annie C. Smith <annie.smith@dnr.wa.gov>

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New package cinaR with initial version 0.2.1
Package: cinaR
Title: A Computational Pipeline for Bulk 'ATAC-Seq' Profiles
Version: 0.2.1
Authors@R: c(person(given = "Onur", family = "Karakaslar", role = c("aut", "cre"), email = "eonurkara@gmail.com"), person(given = "Duygu", family = "Ucar", role = "aut", comment = c(ORCID = "0000-0002-9772-3066")) )
Description: Differential analyses and Enrichment pipeline for bulk 'ATAC-seq' data analyses. This package combines different packages to have an ultimate package for both data analyses and visualization of 'ATAC-seq' data. Methods are described in Karakaslar et al. (2021) <doi:10.1101/2021.03.05.434143>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/eonurk/cinaR/
BugReports: https://github.com/eonurk/cinaR/issues/
biocViews:
Depends: R (>= 3.5.0)
Imports: ChIPseeker, DESeq2, dplyr, edgeR, fgsea, GenomicRanges, ggplot2, ggrepel, grDevices, limma, utils, pheatmap, preprocessCore, RColorBrewer, sva, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Hsapiens.UCSC.hg19.knownGene, TxDb.Mmusculus.UCSC.mm10.knownGene, writexl
Suggests: biomaRt, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-02 10:46:03 UTC; eonurk
Author: Onur Karakaslar [aut, cre], Duygu Ucar [aut] (<https://orcid.org/0000-0002-9772-3066>)
Maintainer: Onur Karakaslar <eonurkara@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-02 15:20:12 UTC

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Package reda updated to version 0.5.3 with previous version 0.5.2 dated 2020-07-08

Title: Recurrent Event Data Analysis
Description: Contains implementations of recurrent event data analysis routines including (1) survival and recurrent event data simulation from stochastic process point of view by the thinning method proposed by Lewis and Shedler (1979) <doi:10.1002/nav.3800260304> and the inversion method introduced in Cinlar (1975, ISBN:978-0486497976), (2) the mean cumulative function (MCF) estimation by the Nelson-Aalen estimator of the cumulative hazard rate function, (3) two-sample recurrent event responses comparison with the pseudo-score tests proposed by Lawless and Nadeau (1995) <doi:10.2307/1269617>, (4) gamma frailty model with spline rate function following Fu, et al. (2016) <doi:10.1080/10543406.2014.992524>.
Author: Wenjie Wang [aut, cre] (<https://orcid.org/0000-0003-0363-3180>), Haoda Fu [aut], Sy Han (Steven) Chiou [ctb], Jun Yan [ctb] (<https://orcid.org/0000-0003-4401-7296>)
Maintainer: Wenjie Wang <wang@wwenjie.org>

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Package RcmdrPlugin.UCA updated to version 4.4-3 with previous version 4.4-2 dated 2021-04-01

Title: UCA Rcmdr Plug-in
Description: Some extensions to Rcmdr (R Commander), randomness test, variance test for one normal sample and predictions using active model, made by R-UCA project and used in teaching statistics at University of Cadiz (UCA).
Author: Manuel Munoz-Marquez <manuel.munoz@uca.es>
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

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Package probhat updated to version 0.4.0 with previous version 0.3.1 dated 2020-07-14

Title: Multivariate Generalized Kernel Smoothing and Related Statistical Methods
Description: Probability mass functions (PMFs), probability density functions (PDFs), cumulative distribution functions (CDFs) and quantile functions, mainly via (optionally bounded/truncated) kernel smoothing. In the continuous case, there's support for univariate, multivariate and conditional distributions, including distributions that are both multivariate and conditional. These generalize methods from the book "Kernel Smoothing", Wand and Jones (1995). Also, supports categorical distributions, mixed conditional distributions (with mixed input types) and smooth empirical-like distributions, some of which, can be used for statistical classification. There are extensions for computing distance matrices (between distributions), multivariate probabilities, multivariate random numbers, moment-based statistics and mode estimates.
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a@gmail.com>

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Package geomorph updated to version 4.0.0 with previous version 3.3.2 dated 2021-01-12

Title: Geometric Morphometric Analyses of 2D/3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut], Erica Baken [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

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Package divest updated to version 0.10.1 with previous version 0.10.0 dated 2021-03-28

Title: Get Images Out of DICOM Format Quickly
Description: Provides tools to sort DICOM-format medical image files, and convert them to NIfTI-1 format.
Author: Jon Clayden [aut, cre] (<https://orcid.org/0000-0002-6608-0619>), Chris Rorden [aut], Martin J Fiedler [cph], Cong Xu [cph], Pascal Gloor [cph]
Maintainer: Jon Clayden <code@clayden.org>

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Package brinton updated to version 0.2.5 with previous version 0.2.4 dated 2021-01-08

Title: A Graphical EDA Tool
Description: An automated graphical exploratory data analysis (EDA) tool that introduces: a.) wideplot() graphics for exploring the structure of a dataset through a grid of variables and graphic types. b.) longplot() graphics, which present the entire catalog of available graphics for representing a particular variable using a grid of graphic types and variations on these types. c.) plotup() function, which presents a particular graphic for a specific variable of a dataset. The plotup() function also makes it possible to obtain the code used to generate the graphic, meaning that the user can adjust its properties as needed.
Author: Pere Millán-Martínez [aut, cre], Ramon Oller Piqué [ctb]
Maintainer: Pere Millán-Martínez <info@sciencegraph.org>

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Package BET updated to version 0.3.5 with previous version 0.3.4 dated 2021-03-21

Title: Binary Expansion Testing
Description: Nonparametric detection of nonuniformity and dependence with Binary Expansion Testing (BET). See Kai Zhang (2019) BET on Independence, Journal of the American Statistical Association, 114:528, 1620-1637, <DOI:10.1080/01621459.2018.1537921> and Zhigen Zhao, Michael Baiocchi, Kai Zhang. SorBET: A Fast and Powerful Algorithm to Test Dependence of Variables.
Author: Wan Zhang [aut, cre], Zhigen Zhao [aut], Michael Baiocchi [aut], Kai Zhang [aut]
Maintainer: Wan Zhang <wanz63@live.unc.edu>

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Package bayesian updated to version 0.0.3 with previous version 0.0.2 dated 2021-01-14

Title: Bindings for Bayesian TidyModels
Description: Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via 'bayesian' <doi:10.5281/zenodo.4430991>. 'tidymodels' is a collection of packages for machine learning; see Wickham (2020) <https://www.tidymodels.org>). The technical details of 'brms' and 'Stan' are described in Bürkner (2017) <doi:10.18637/jss.v080.i01>, Bürkner (2018) <doi:10.32614/RJ-2018-017>, and Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>), Paul C. Bürkner [aut]
Maintainer: Hamada S. Badr <badr@jhu.edu>

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Package tidytable updated to version 0.6.0 with previous version 0.5.9 dated 2021-03-04

Title: Tidy Interface to 'data.table'
Description: A tidy interface to 'data.table' that is 'rlang' compatible, giving users the speed of 'data.table' with the clean syntax of the tidyverse.
Author: Mark Fairbanks [aut, cre], Tyson Barrett [ctb], Ivan Leung [ctb], Ross Kennedy [ctb], Lionel Henry [ctb], Matt Carlson [ctb], Abdessabour Moutik [ctb]
Maintainer: Mark Fairbanks <mark.t.fairbanks@gmail.com>

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Package SynthETIC updated to version 1.0.0 with previous version 0.1.0 dated 2020-08-24

Title: Synthetic Experience Tracking Insurance Claims
Description: Creation of an individual claims simulator which generates various features of non-life insurance claims. An initial set of test parameters, designed to mirror the experience of an Auto Liability portfolio, were set up and applied by default to generate a realistic test data set of individual claims (see vignette). The simulated data set then allows practitioners to back-test the validity of various reserving models and to prove and/or disprove certain actuarial assumptions made in claims modelling. The distributional assumptions used to generate this data set can be easily modified by users to match their experiences. Reference: Avanzi B, Taylor G, Wang M, Wong B (2020) "SynthETIC: an individual insurance claim simulator with feature control" <arXiv:2008.05693>.
Author: Benjamin Avanzi [aut], Greg Taylor [aut], Melantha Wang [aut, cre], Bernard Wong [aut]
Maintainer: Melantha Wang <wang.melantha@gmail.com>

Diff between SynthETIC versions 0.1.0 dated 2020-08-24 and 1.0.0 dated 2021-04-02

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Package simfinR updated to version 0.2.3 with previous version 0.2.2 dated 2020-04-29

Title: Import Financial Data from the 'SimFin' Project
Description: Uses the 'SimFin' (SIMmplifying FINnance) api at <https://simfin.com/data/access/api> to download financial data straight into your R session. It includes financial statements -- balance sheet, cash flow and income statement -- and adjusted daily price of stocks. The available data is comprehensive, going back to 2005 and available for quarters (Q1, Q2, Q3, Q4) and years (FY).
Author: Marcelo S. Perlin
Maintainer: Marcelo S. Perlin <marceloperlin@gmail.com>

Diff between simfinR versions 0.2.2 dated 2020-04-29 and 0.2.3 dated 2021-04-02

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New package prewas with initial version 1.1.1
Package: prewas
Title: Data Pre-Processing for Bacterial Genome-Wide Association Studies
Version: 1.1.1
Authors@R: c( person("Katie", "Saund", email = "katiephd@umich.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6214-6713")), person("Zena", "Lapp", email = "zenalapp@umich.edu", role = "aut", comment = c(ORCID = "0000-0003-4674-2176")), person("Stephanie", "Thiede", email = "thiede@umich.edu", role = "aut", comment = c(ORCID = "0000-0003-0173-4324")))
Description: Standardize the pre-processing of genomic variants before performing a bacterial genome-wide association study (bGWAS). 'prewas' creates a variant matrix (where each row is a variant, each column is a sample, and the entries are presence - 1 - or absence - 0 - of the variant) that can be used as input for bGWAS tools. When creating the binary variant matrix, 'prewas' can perform 3 pre-processing steps including: dealing with multiallelic SNPs, (optional) dealing with SNPs in overlapping genes, and choosing a reference allele. 'prewas' can output matrices for use with both SNP-based bGWAS and gene-based bGWAS. This method is described in Saund et al. (2020) <doi:10.1099/mgen.0.000368>. 'prewas' can also provide gene matrices for variants with specific annotations from the 'SnpEff' software (Cingolani et al. 2012).
URL: https://github.com/Snitkin-Lab-Umich/prewas
BugReports: https://github.com/Snitkin-Lab-Umich/prewas/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ape (>= 5.3), future (>= 1.15.1), future.apply (>= 1.3.0), phangorn (>= 2.5.5), stats (>= 3.5.0), vcfR (>= 1.8.0), utils (>= 3.5.0), methods (>= 3.5.0)
Suggests: testthat (>= 2.2.1), knitr (>= 1.24), rmarkdown (>= 1.15)
VignetteBuilder: knitr
Date: 2021-04-01
NeedsCompilation: no
Packaged: 2021-04-01 19:54:48 UTC; katiephd
Author: Katie Saund [aut, cre] (<https://orcid.org/0000-0002-6214-6713>), Zena Lapp [aut] (<https://orcid.org/0000-0003-4674-2176>), Stephanie Thiede [aut] (<https://orcid.org/0000-0003-0173-4324>)
Maintainer: Katie Saund <katiephd@umich.edu>
Repository: CRAN
Date/Publication: 2021-04-02 12:20:05 UTC

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Package jfa updated to version 0.5.2 with previous version 0.5.1 dated 2021-03-02

Title: Bayesian and Classical Audit Sampling
Description: Implements the audit sampling workflow as discussed in Derks et al. (2019) <doi:10.31234/osf.io/9f6ub>. The package makes it easy for an auditor to plan an audit sample, sample from the population, and evaluating that sample using various confidence bounds according to the International Standards on Auditing. Furthermore, the package implements Bayesian equivalents of these methods.
Author: Koen Derks [aut, cre] (<https://orcid.org/0000-0002-5533-9349>)
Maintainer: Koen Derks <k.derks@nyenrode.nl>

Diff between jfa versions 0.5.1 dated 2021-03-02 and 0.5.2 dated 2021-04-02

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New package sasfunclust with initial version 1.0.0
Package: sasfunclust
Title: Sparse and Smooth Functional Clustering
Version: 1.0.0
Authors@R: c( person("Fabio", "Centofanti", email = "fabio.centofanti@unina.it", role = c("cre","aut")), person("Antonio", "Lepore", role = c("aut")), person("Biagio", "Palumbo", role = c("aut")) )
Description: Implements the sparse and smooth functional clustering (SaS-Funclust) method (Centofanti et al. (2021) <arXiv:2103.15224>) that aims to classify a sample of curves into homogeneous groups while jointly detecting the most informative portions of domain.
License: GPL-3
Encoding: UTF-8
LinkingTo: Rcpp,RcppArmadillo
Imports: Rcpp, fda, mclust, matrixcalc, MASS, Matrix
URL: https://github.com/unina-sfere/sasfunclust
BugReports: https://github.com/unina-sfere/sasfunclust/issues
Suggests: knitr, rmarkdown, testthat
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2021-04-01 17:26:24 UTC; fabio
Author: Fabio Centofanti [cre, aut], Antonio Lepore [aut], Biagio Palumbo [aut]
Maintainer: Fabio Centofanti <fabio.centofanti@unina.it>
Repository: CRAN
Date/Publication: 2021-04-02 11:30:02 UTC

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New package ReviewR with initial version 2.3.6
Package: ReviewR
Title: A Light-Weight, Portable Tool for Reviewing Individual Patient Records
Version: 2.3.6
Authors@R: c( person('Laura', 'Wiley', email = 'laura.wiley@cuanschutz.edu', role = c('aut'), comment = c(ORCID = "0000-0001-6681-9754")), person('Luke', 'Rasmussen', email = 'luke.rasmussen@northwestern.edu', role = c('aut'), comment = c(ORCID = "0000-0002-4497-8049")), person('David', 'Mayer', email = 'david.mayer@cuanschutz.edu', role = c('cre', 'aut')), person(given = "The Wiley Lab", role = c("cph", "fnd")) )
Description: A portable Shiny tool to explore patient-level electronic health record data and perform chart review in a single integrated framework. This tool supports browsing clinical data in many different formats including multiple versions of the 'OMOP' common data model as well as the 'MIMIC-III' data model. In addition, chart review information is captured and stored securely via the Shiny interface in a 'REDCap' (Research Electronic Data Capture) project using the 'REDCap' API. See the 'ReviewR' website for additional information, documentation, and examples.
License: BSD_3_clause + file LICENSE
URL: https://reviewr.thewileylab.org/, https://github.com/thewileylab/ReviewR/
BugReports: https://github.com/thewileylab/ReviewR/issues
Depends: R (>= 3.5.0)
Imports: bigrquery (>= 1.2.0), config, dashboardthemes, DBI, dbplyr, dplyr (>= 1.0.0), DT, gargle, glue, golem, httr, jsonlite, magrittr, pkgload, purrr, redcapAPI, REDCapR, rlang (>= 0.4.7), RPostgres, RSQLite, shiny (>= 1.5.0), shinycssloaders (>= 1.0.0), shinydashboard, shinydashboardPlus (>= 2.0.0), shinyjs, shinyWidgets (>= 0.6.0), snakecase, stringr, tibble, tidyr (>= 1.1.0)
Suggests: fs, gt, here, htmltools, knitr, processx, readr, rmarkdown, rstudioapi, spelling, testthat (>= 2.1.0), usethis
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-01 16:17:32 UTC; MayerDav
Author: Laura Wiley [aut] (<https://orcid.org/0000-0001-6681-9754>), Luke Rasmussen [aut] (<https://orcid.org/0000-0002-4497-8049>), David Mayer [cre, aut], The Wiley Lab [cph, fnd]
Maintainer: David Mayer <david.mayer@cuanschutz.edu>
Repository: CRAN
Date/Publication: 2021-04-02 11:30:05 UTC

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Package inspectdf updated to version 0.0.11 with previous version 0.0.10 dated 2021-02-20

Title: Inspection, Comparison and Visualisation of Data Frames
Description: A collection of utilities for columnwise summary, comparison and visualisation of data frames. Functions report missingness, categorical levels, numeric distribution, correlation, column types and memory usage.
Author: Alastair Rushworth [aut, cre], David Wilkins [ctb]
Maintainer: Alastair Rushworth <alastairmrushworth@gmail.com>

Diff between inspectdf versions 0.0.10 dated 2021-02-20 and 0.0.11 dated 2021-04-02

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Package synthesis updated to version 1.2.1 with previous version 1.2.0 dated 2020-11-05

Title: Generate Synthetic Data from Statistical Models
Description: Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems. Applications to testing methods can be found in Jiang, Z., Sharma, A., & Johnson, F. (2019) <doi:10.1016/j.advwatres.2019.103430> and Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962> associated with an open-source tool by Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>.
Author: Ze Jiang [aut, cre] (<https://orcid.org/0000-0002-3472-0829>)
Maintainer: Ze Jiang <ze.jiang@unsw.edu.au>

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New package sovereign with initial version 1.0.0
Package: sovereign
Title: State-Dependent Empirical Analysis
Version: 1.0.0
Authors@R: person(given = "Tyler J.", family = "Pike", role = c("aut", "cre"), email = "tjpike7@gmail.com")
Description: A set of tools for state-dependent empirical analysis through both VAR- and local projection-based state-dependent forecasts, impulse response functions, and forecast error variance decomposition.
License: GPL-3
URL: https://github.com/tylerJPike/sovereign, https://tylerjpike.github.io/sovereign/
BugReports: https://github.com/tylerJPike/sovereign/issues
Encoding: UTF-8
Imports: broom, dplyr, ggplot2, gridExtra, lmtest, lubridate, magrittr, mclust, purrr, randomForest, sandwich, stats, stringr, strucchange, tidyr, xts, zoo
Suggests: testthat, knitr, rmarkdown, quantmod, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-01 11:47:39 UTC; tjpik
Author: Tyler J. Pike [aut, cre]
Maintainer: Tyler J. Pike <tjpike7@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-02 09:20:02 UTC

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New package mcunit with initial version 0.3.2
Package: mcunit
Title: Unit Tests for MC Methods
Version: 0.3.2
Maintainer: Axel Gandy <a.gandy@imperial.ac.uk>
Authors@R: c(person(given = "Axel", family = "Gandy", role = c("aut", "cre"), email = "a.gandy@imperial.ac.uk"), person(given="James", family="Scott", role=c("aut"), email= "james.scott15@imperial.ac.uk"))
Description: Unit testing for Monte Carlo methods, particularly Markov Chain Monte Carlo (MCMC) methods, are implemented as extensions of the 'testthat' package. The MCMC methods check whether the MCMC chain has the correct invariant distribution. They do not check other properties of successful samplers such as whether the chain can reach all points, i.e. whether is recurrent. The tests require the ability to sample from the prior and to run steps of the MCMC chain. The methodology is described in Gandy and Scott (2020) <arXiv:2001.06465>.
URL: https://bitbucket.org/agandy/mcunit/
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.1)
Imports: testthat (>= 2.3), stats, rlang, Rdpack (>= 0.7), methods, simctest (>= 2.6)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2021-04-01 13:43:14 UTC; jamesscott
Author: Axel Gandy [aut, cre], James Scott [aut]
Repository: CRAN
Date/Publication: 2021-04-02 09:50:02 UTC

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Package lwgeom updated to version 0.2-6 with previous version 0.2-5 dated 2020-06-12

Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/master/liblwgeom>, the light-weight geometry library used by 'PostGIS' <http://postgis.net/>.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Colin Rundel [ctb], Andy Teucher [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between lwgeom versions 0.2-5 dated 2020-06-12 and 0.2-6 dated 2021-04-02

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 16 files changed, 44 insertions(+), 54 deletions(-)

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New package ENMTools with initial version 1.0.3
Package: ENMTools
Title: Analysis of Niche Evolution using Niche and Distribution Models
Version: 1.0.3
Date: 2021-03-28
Encoding: UTF-8
Authors@R: c(person(given = "Dan", family = "Warren", role = c("aut", "cre"), email = "dan.l.warren@gmail.com", comment = c(ORCID = "0000-0002-8747-2451")), person(given = "Nick", family = "Matzke", role = "ctb", email = "nick.matzke@anu.edu.au"), person(given = "Marcel", family = "Cardillo", role = "ctb", email = "marcel.cardillo@anu.edu.au"), person(given = "John", family = "Baumgartner", role = "ctb"), person(given = "Linda", family = "Beaumont", role = "ctb"), person(given = "Nicholas", family = "Huron", role = "ctb"), person(given = "Marianna", family = "Simoes", role = "ctb"), person(given = "Teresa", family = "Iglesias", role = "ctb"), person(given = "Russell", family = "Dinnage", role = "aut", email = "r.dinnage@gmail.com", comment = c(ORCID = "0000-0003-0846-2819")))
Maintainer: Dan Warren <dan.l.warren@gmail.com>
Description: Description: Tools for constructing niche models and analyzing patterns of niche evolution. Acts as an interface for many popular modeling algorithms, and allows users to conduct Monte Carlo tests to address basic questions in evolutionary ecology and biogeography. Warren, D.L., R.E. Glor, and M. Turelli (2008) <doi:10.1111/j.1558-5646.2008.00482.x> Glor, R.E., and D.L. Warren (2011) <doi:10.1111/j.1558-5646.2010.01177.x> Warren, D.L., R.E. Glor, and M. Turelli (2010) <doi:10.1111/j.1600-0587.2009.06142.x> Cardillo, M., and D.L. Warren (2016) <doi:10.1111/geb.12455> D.L. Warren, L.J. Beaumont, R. Dinnage, and J.B. Baumgartner (2019) <doi:10.1111/ecog.03900>.
License: GPL-2
LazyData: TRUE
Imports: rgeos, knitr, ggplot2, gridExtra, lhs, magrittr, ENMeval, sp, spatstat.geom, spatstat.core, spatstat (>= 2.0-0), ggpubr, rgdal, forcats
Depends: raster, dismo
Suggests: testthat, hypervolume, leaflet, mgcv, ecospat, randomForest, ranger, caret, CalibratR, ape, ResourceSelection, fields, reshape2, vip, pdp, fastshap, viridis, progress
NeedsCompilation: no
Packaged: 2021-03-28 04:40:57 UTC; danwarren
Author: Dan Warren [aut, cre] (<https://orcid.org/0000-0002-8747-2451>), Nick Matzke [ctb], Marcel Cardillo [ctb], John Baumgartner [ctb], Linda Beaumont [ctb], Nicholas Huron [ctb], Marianna Simoes [ctb], Teresa Iglesias [ctb], Russell Dinnage [aut] (<https://orcid.org/0000-0003-0846-2819>)
Repository: CRAN
Date/Publication: 2021-04-02 09:10:06 UTC

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New package Rforestry with initial version 0.9.0.4
Package: Rforestry
Title: Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability
Version: 0.9.0.4
Authors@R: c( person("Sören", "Künzel", role = "aut"), person("Theo", "Saarinen", role = c("aut","cre"), email = "theo_s@berkeley.edu"), person("Simon", "Walter", role = "aut"), person("Edward", "Liu", role = "aut"), person("Allen", "Tang", role = "aut"), person("Jasjeet", "Sekhon", role = "aut") )
Maintainer: Theo Saarinen <theo_s@berkeley.edu>
BugReports: https://github.com/forestry-labs/Rforestry/issues
URL: https://github.com/forestry-labs/Rforestry
Description: Provides fast implementations of Honest Random Forests, Gradient Boosting, and Linear Random Forests, with an emphasis on inference and interpretability. Additionally contains methods for variable importance, out-of-bag prediction, regression monotonicity, and several methods for missing data imputation. Soren R. Kunzel, Theo F. Saarinen, Edward W. Liu, Jasjeet S. Sekhon (2019) <arXiv:1906.06463>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp (>= 0.12.9), parallel, methods, visNetwork, glmnet, grDevices, onehot
LinkingTo: Rcpp, RcppArmadillo, RcppThread
SystemRequirements: C++11
Suggests: testthat, knitr, rmarkdown, mvtnorm
Collate: 'R_preprocessing.R' 'RcppExports.R' 'forestry.R' 'backwards_compatible.R' 'compute_rf_lp.R' 'neighborhood_imputation.R' 'plottree.R'
NeedsCompilation: yes
Packaged: 2021-03-31 21:18:53 UTC; theo
Author: Sören Künzel [aut], Theo Saarinen [aut, cre], Simon Walter [aut], Edward Liu [aut], Allen Tang [aut], Jasjeet Sekhon [aut]
Repository: CRAN
Date/Publication: 2021-04-02 08:30:02 UTC

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New package RCMinification with initial version 1.0
Package: RCMinification
Version: 1.0
Title: Random Coefficient Minification Time Series Models
Authors@R: c(person("L.", "Han", role = c("aut", "cre"), email = "lengyi.han@ubc.ca"))
Author: L. Han [aut, cre]
Maintainer: L. Han <lengyi.han@ubc.ca>
Description: Functions and data sets for simulating and fitting minification and random coefficient minification time series models. The nth term in the model X[n] is a nonnegative random variable defined as A[n]*min(X[n-1], Y[n]), where the A's and Y's are sequences of independent random variables. Example data sets are provided where this kind of model can be justified on physical grounds and fits well. Functions for simulating minification time series and for maximum likelihood estimation are included. More information can be found in Han, Braun and Loeppky (2018) <doi:10.1007/s00362-018-1000-6>.
LazyLoad: true
LazyData: true
ZipData: no
License: Unlimited
NeedsCompilation: no
Packaged: 2021-03-31 19:15:40 UTC; braun
Repository: CRAN
Date/Publication: 2021-04-02 08:20:05 UTC

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New package HistDat with initial version 0.1.0
Package: HistDat
Title: Summary Statistics for Histogram/Count Data
Version: 0.1.0
Author: Michael Milton
Maintainer: Michael Milton <michael.r.milton@gmail.com>
Description: In some cases you will have data in a histogram format, where you have a vector of all possible observations, and a vector of how many times each observation appeared. You could expand this into a single 1D vector, but this may not be advisable if the counts are extremely large. 'HistDat' allows for the calculation of summary statistics without the need for expanding your data.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: methods, stats
NeedsCompilation: no
Packaged: 2021-03-31 05:39:38 UTC; michael
Repository: CRAN
Date/Publication: 2021-04-02 08:50:02 UTC

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New package caROC with initial version 0.1.5
Package: caROC
Title: Continuous Biomarker Evaluation with Adjustment of Covariates
Version: 0.1.5
Author: Ziyi Li
Maintainer: Ziyi Li <zli16@mdanderson.org>
Description: Compute covariate-adjusted specificity at controlled sensitivity level, or covariate-adjusted sensitivity at controlled specificity level, or covariate-adjust receiver operating characteristic curve, or covariate-adjusted thresholds at controlled sensitivity/specificity level. All statistics could also be computed for specific sub-populations given their covariate values. Methods are described in Ziyi Li, Yijian Huang, Datta Patil, Martin G. Sanda (2021+) "Covariate adjustment in continuous biomarker assessment".
License: GPL-2
Encoding: UTF-8
Depends: R (>= 4.0), quantreg, RColorBrewer
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-03-31 20:16:31 UTC; zli16
Repository: CRAN
Date/Publication: 2021-04-02 08:20:03 UTC

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Package matrixNormal updated to version 0.0.5 with previous version 0.0.4 dated 2020-08-26

Title: The Matrix Normal Distribution
Description: Computes densities, probabilities, and random deviates of the Matrix Normal (Iranmanesh et al. (2010) <doi:10.7508/ijmsi.2010.02.004>). Also includes simple but useful matrix functions. See the vignette for more information.
Author: Paul M. Hargarten [aut, cre]
Maintainer: Paul M. Hargarten <hargartenp@vcu.edu>

Diff between matrixNormal versions 0.0.4 dated 2020-08-26 and 0.0.5 dated 2021-04-02

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New package joyn with initial version 0.0.1
Package: joyn
Title: Tool for Diagnosis of Tables Joins and Complementary Join Features
Version: 0.0.1
Authors@R: person("R.Andres", "Castaneda", email = "acastanedaa@worldbank.org", role = c("aut", "cre"))
Description: Tool for diagnosis of joins of data frames. It combines the speed `data.table`, the flexibility of `dplyr`, and the diagnosis and features of the `merge` command in `Stata`.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/randrescastaneda/joyn
BugReports: https://github.com/randrescastaneda/joyn/issues
Suggests: covr, janitor, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: rlang, data.table, glue, cli, stats
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-03-31 14:18:55 UTC; wb384996
Author: R.Andres Castaneda [aut, cre]
Maintainer: R.Andres Castaneda <acastanedaa@worldbank.org>
Repository: CRAN
Date/Publication: 2021-04-02 07:30:02 UTC

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Package gargle updated to version 1.1.0 with previous version 1.0.0 dated 2021-03-03

Title: Utilities for Working with Google APIs
Description: Provides utilities for working with Google APIs <https://developers.google.com/apis-explorer>. This includes functions and classes for handling common credential types and for preparing, executing, and processing HTTP requests.
Author: Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), Craig Citro [aut], Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Google Inc [cph], RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

Diff between gargle versions 1.0.0 dated 2021-03-03 and 1.1.0 dated 2021-04-02

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 gargle-1.0.0/gargle/tests/testthat/test-authstate-class.R                                                    |only
 gargle-1.0.0/gargle/tests/testthat/test-oauth-token.R                                                        |only
 gargle-1.0.0/gargle/tests/testthat/test-response-process.R                                                   |only
 gargle-1.1.0/gargle/DESCRIPTION                                                                              |   18 
 gargle-1.1.0/gargle/MD5                                                                                      |  171 ++---
 gargle-1.1.0/gargle/NAMESPACE                                                                                |    6 
 gargle-1.1.0/gargle/NEWS.md                                                                                  |   81 ++
 gargle-1.1.0/gargle/R/AuthState-class.R                                                                      |   32 -
 gargle-1.1.0/gargle/R/Gargle-class.R                                                                         |   94 ++-
 gargle-1.1.0/gargle/R/aaa.R                                                                                  |only
 gargle-1.1.0/gargle/R/compat-purrr.R                                                                         |    5 
 gargle-1.1.0/gargle/R/conditions.R                                                                           |   60 +
 gargle-1.1.0/gargle/R/credential-function-registry.R                                                         |   15 
 gargle-1.1.0/gargle/R/credentials_app_default.R                                                              |    8 
 gargle-1.1.0/gargle/R/credentials_byo_oauth2.R                                                               |   12 
 gargle-1.1.0/gargle/R/credentials_gce.R                                                                      |   11 
 gargle-1.1.0/gargle/R/credentials_service_account.R                                                          |   14 
 gargle-1.1.0/gargle/R/credentials_user_oauth2.R                                                              |    2 
 gargle-1.1.0/gargle/R/field-mask.R                                                                           |    2 
 gargle-1.1.0/gargle/R/gargle-oauth-app.R                                                                     |    1 
 gargle-1.1.0/gargle/R/gargle-package.R                                                                       |   15 
 gargle-1.1.0/gargle/R/inside-the-house.R                                                                     |   23 
 gargle-1.1.0/gargle/R/oauth-app.R                                                                            |    3 
 gargle-1.1.0/gargle/R/oauth-cache.R                                                                          |  304 +++++++---
 gargle-1.1.0/gargle/R/oauth-refresh.R                                                                        |only
 gargle-1.1.0/gargle/R/request-develop.R                                                                      |    4 
 gargle-1.1.0/gargle/R/request-make.R                                                                         |    2 
 gargle-1.1.0/gargle/R/request_retry.R                                                                        |   35 -
 gargle-1.1.0/gargle/R/response_process.R                                                                     |   94 ++-
 gargle-1.1.0/gargle/R/secret.R                                                                               |   10 
 gargle-1.1.0/gargle/R/sysdata.rda                                                                            |binary
 gargle-1.1.0/gargle/R/token-fetch.R                                                                          |    6 
 gargle-1.1.0/gargle/R/ui.R                                                                                   |  127 +++-
 gargle-1.1.0/gargle/R/utils.R                                                                                |   20 
 gargle-1.1.0/gargle/README.md                                                                                |    9 
 gargle-1.1.0/gargle/inst/WORDLIST                                                                            |   66 +-
 gargle-1.1.0/gargle/inst/doc/auth-from-web.Rmd                                                               |    4 
 gargle-1.1.0/gargle/inst/doc/auth-from-web.html                                                              |    4 
 gargle-1.1.0/gargle/inst/doc/how-gargle-gets-tokens.Rmd                                                      |    2 
 gargle-1.1.0/gargle/inst/doc/how-gargle-gets-tokens.html                                                     |    2 
 gargle-1.1.0/gargle/inst/doc/non-interactive-auth.R                                                          |    4 
 gargle-1.1.0/gargle/inst/doc/non-interactive-auth.Rmd                                                        |   14 
 gargle-1.1.0/gargle/inst/doc/non-interactive-auth.html                                                       |   12 
 gargle-1.1.0/gargle/inst/doc/troubleshooting.R                                                               |   37 -
 gargle-1.1.0/gargle/inst/doc/troubleshooting.Rmd                                                             |  143 +++-
 gargle-1.1.0/gargle/inst/doc/troubleshooting.html                                                            |  131 +++-
 gargle-1.1.0/gargle/man/AuthState-class.Rd                                                                   |   12 
 gargle-1.1.0/gargle/man/Gargle-class.Rd                                                                      |   18 
 gargle-1.1.0/gargle/man/gargle_app.Rd                                                                        |    1 
 gargle-1.1.0/gargle/man/gargle_oauth_sitrep.Rd                                                               |    4 
 gargle-1.1.0/gargle/man/gargle_options.Rd                                                                    |   44 +
 gargle-1.1.0/gargle/man/request_retry.Rd                                                                     |    2 
 gargle-1.1.0/gargle/man/response_process.Rd                                                                  |   18 
 gargle-1.1.0/gargle/tests/testthat/_snaps                                                                    |only
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 gargle-1.1.0/gargle/tests/testthat/test-assets.R                                                             |    5 
 gargle-1.1.0/gargle/tests/testthat/test-credentials-byo-oauth2.R                                             |    4 
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 gargle-1.1.0/gargle/tests/testthat/test-gce-token.R                                                          |    7 
 gargle-1.1.0/gargle/tests/testthat/test-oauth-app.R                                                          |   12 
 gargle-1.1.0/gargle/tests/testthat/test-oauth-cache.R                                                        |  194 ++++--
 gargle-1.1.0/gargle/tests/testthat/test-registry.R                                                           |    4 
 gargle-1.1.0/gargle/tests/testthat/test-request-develop.R                                                    |   20 
 gargle-1.1.0/gargle/tests/testthat/test-request-make.R                                                       |    8 
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 gargle-1.1.0/gargle/vignettes/how-gargle-gets-tokens.Rmd                                                     |    2 
 gargle-1.1.0/gargle/vignettes/non-interactive-auth.Rmd                                                       |   14 
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More information about gargle at CRAN
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New package cif with initial version 0.0.9
Package: cif
Title: Cointegrated ICU Forecasting
Description: Set of forecasting tools to predict ICU beds using a Vector Error Correction model with a single cointegrating vector. Method described in Berta, P. Lovaglio, P.G. Paruolo, P. Verzillo, S., 2020. "Real Time Forecasting of Covid-19 Intensive Care Units demand" Health, Econometrics and Data Group (HEDG) Working Papers 20/16, HEDG, Department of Economics, University of York, <https://www.york.ac.uk/media/economics/documents/hedg/workingpapers/2020/2016.pdf>.
Version: 0.0.9
Date: 2021-03-31
Authors@R: c( person("Paolo","Berta",email="paolo.berta@unimib.it", role=c("aut")), person("Paolo","Paruolo",email="Paolo.PARUOLO@ec.europa.eu", role=c("aut", "cre"),comment=c(ORCID = "0000-0002-3982-4889")), person("Stefano","Verzillo",email="Stefano.VERZILLO@ec.europa.eu", role=c("ctb")), person("Pietro Giorgio","Lovaglio",email="piergiorgio.lovaglio@unimib.it", role=c("ctb")) )
Maintainer: Paolo Paruolo <Paolo.PARUOLO@ec.europa.eu>
Encoding: UTF-8
Depends: R (>= 3.6.0)
License: GPL-3
Imports: stats, lubridate, graphics, grDevices
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-03-31 14:09:20 UTC; paoloberta
Author: Paolo Berta [aut], Paolo Paruolo [aut, cre] (<https://orcid.org/0000-0002-3982-4889>), Stefano Verzillo [ctb], Pietro Giorgio Lovaglio [ctb]
Repository: CRAN
Date/Publication: 2021-04-02 07:30:05 UTC

More information about cif at CRAN
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Package RXshrink updated to version 2.0 with previous version 1.7 dated 2021-02-04

Title: Maximum Likelihood Shrinkage using Generalized Ridge or Least Angle Regression
Description: Functions are provided to calculate and display ridge TRACE diagnostics for a wide variety of alternative shrinkage Paths. While all methods focus on Maximum Likelihood estimation of unknown true effects under Normal-distribution theory, some estimates are modified to be Unbiased or to have "Correct Range" when estimating either [1] the noncentrality of the F-ratio for testing that true Beta coefficients are Zeros or [2] the "relative" MSE Risk (i.e. MSE divided by true sigma-square, where the "relative" variance of OLS is known.) The eff.ridge() function implements the "Efficient Shrinkage Path" introduced in Obenchain (2021) <arXiv:2103.05161>. This new "p-Parameter" Shrinkage-Path always passes through the vector of regression coefficient estimates Most-Likely to achieve the overall Optimal Variance-Bias Trade-Off and is the shortest Path with this property. Functions eff.aug() and eff.biv() augment the calculations made by eff.ridge() to provide plots of the bivariate confidence ellipses corresponding to any of the p*(p-1) possible ordered pairs of shrunken regression coefficients.
Author: Bob Obenchain
Maintainer: Bob Obenchain <wizbob@att.net>

Diff between RXshrink versions 1.7 dated 2021-02-04 and 2.0 dated 2021-04-02

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Package crossmap updated to version 0.3.0 with previous version 0.2.0 dated 2020-09-24

Title: Apply Functions to All Combinations of List Elements
Description: Provides an extension to the 'purrr' family of mapping functions to apply a function to each combination of elements in a list of inputs. Also includes functions for automatically detecting output type in mapping functions, finding every combination of elements of lists or rows of data frames, and applying multiple models to multiple subsets of a dataset.
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

Diff between crossmap versions 0.2.0 dated 2020-09-24 and 0.3.0 dated 2021-04-02

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 crossmap-0.3.0/crossmap/tests/testthat/test-future_xmap.R   |   18 
 40 files changed, 632 insertions(+), 637 deletions(-)

More information about crossmap at CRAN
Permanent link

Package thunder (with last version 0.0.12) was removed from CRAN

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

2021-03-18 0.0.12

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Package rdefra (with last version 0.3.8) was removed from CRAN

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

2020-04-06 0.3.8

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Package ICAMS (with last version 2.2.4) was removed from CRAN

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

2020-09-22 2.2.4
2020-09-18 2.2.3
2020-04-21 2.1.2
2019-12-13 2.0.10
2019-07-24 2.0.8
2019-07-11 2.0.7

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