Sat, 01 May 2021

Package mlsjunkgen updated to version 0.1.2 with previous version 0.1.1 dated 2015-09-07

Title: Use the MLS Junk Generator Algorithm to Generate a Stream of Pseudo-Random Numbers
Description: Generate a stream of pseudo-random numbers generated using the MLS Junk Generator algorithm. Functions exist to generate single pseudo-random numbers as well as a vector, data frame, or matrix of pseudo-random numbers.
Author: Steve Myles [aut, cre]
Maintainer: Steve Myles <steve@mylesandmyles.info>

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Package jfa updated to version 0.5.3 with previous version 0.5.2 dated 2021-04-02

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 a statistical sample, select the sample from the population, and evaluate the sample using various methods 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>

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Package coxmeg updated to version 1.0.13 with previous version 1.0.12 dated 2020-11-22

Title: Cox Mixed-Effects Models for Genome-Wide Association Studies
Description: Fast algorithms for fitting a Cox mixed-effects model for e.g., genome-wide association studies. See Liang He and Alexander Kulminski (2019) <doi:10.1101/729285>.
Author: Liang He, Stephanie Gogarten
Maintainer: Liang He <liang.he@duke.edu>

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Package rasterVis updated to version 0.50.2 with previous version 0.50.1 dated 2021-03-22

Title: Visualization Methods for Raster Data
Description: Methods for enhanced visualization and interaction with raster data. It implements visualization methods for quantitative data and categorical data, both for univariate and multivariate rasters. It also provides methods to display spatiotemporal rasters, and vector fields. See the website for examples.
Author: Oscar Perpinan Lamigueiro [cre, aut] (<https://orcid.org/0000-0002-4134-7196>), Robert Hijmans [aut]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan@upm.es>

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Package BayesSampling updated to version 1.1.0 with previous version 1.0.0 dated 2020-04-24

Title: Bayes Linear Estimators for Finite Population
Description: Allows the user to apply the Bayes Linear approach to finite population with the Simple Random Sampling - BLE_SRS() - and the Stratified Simple Random Sampling design - BLE_SSRS() - (both without replacement), to the Ratio estimator (using auxiliary information) - BLE_Ratio() - and to categorical data - BLE_Categorical(). The Bayes linear estimation approach is applied to a general linear regression model for finite population prediction in BLE_Reg() and it is also possible to achieve the design based estimators using vague prior distributions. Based on Gonçalves, K.C.M, Moura, F.A.S and Migon, H.S.(2014) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886>.
Author: Pedro Soares Figueiredo [aut, cre] (<https://orcid.org/0000-0003-2279-2881>), Kelly C. M. Gonçalves [aut, ths] (<https://orcid.org/0000-0002-4524-547X>)
Maintainer: Pedro Soares Figueiredo <pedrosfig@hotmail.com>

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Package SolveSAPHE updated to version 2.1.0 with previous version 2.0.0 dated 2021-03-09

Title: Solver Suite for Alkalinity-PH Equations
Description: Universal and robust algorithm for solving the total alkalinity-pH equation presented in G. Munhoven (2013) <doi:10.5194/gmd-6-1367-2013> and G. Munhoven (2021) <doi:10.5194/gmd-2020-447>. The total alkalinity-pH equation relates total alkalinity and pH for a given set of acid-base concentrations in a given water sample, among which carbonic acid. This package is particularly useful in marine chemistry involving dissolved inorganic carbon. Original package in Fortran can be found at <doi:10.5281/zenodo.4328965>.
Author: Jean-Marie Epitalon [aut, cre, cph], Jean-Pierre Gattuso [cph], Guy Munhoven [aut]
Maintainer: Jean-Marie Epitalon <jean-marie.epitalon@orange.fr>

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Package phonenumber updated to version 0.2.3 with previous version 0.2.2 dated 2015-09-07

Title: Convert Letters to Numbers and Back as on a Telephone Keypad
Description: Convert English letters to numbers or numbers to English letters as on a telephone keypad. When converting letters to numbers, a character vector is returned with "A," "B," or "C" becoming 2, "D," "E", or "F" becoming 3, etc. When converting numbers to letters, a character vector is returned with multiple elements (i.e., "2" becomes a vector of "A," "B," and "C").
Author: Steve Myles [aut, cre]
Maintainer: Steve Myles <steve@mylesandmyles.info>

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Package fwildclusterboot updated to version 0.3.4 with previous version 0.3.3 dated 2021-04-12

Title: Fast Wild Cluster Bootstrap Inference for Linear Regression Models
Description: Implementation of the fast algorithm for wild cluster bootstrap inference developed in Roodman et al (2019, STATA Journal) for linear regression models <https://journals.sagepub.com/doi/full/10.1177/1536867X19830877>, which makes it feasible to quickly calculate bootstrap test statistics based on a large number of bootstrap draws even for large samples - as long as the number of bootstrapping clusters is not too large. Multiway clustering, regression weights, bootstrap weights, fixed effects and subcluster bootstrapping are supported. Further, both restricted (WCR) and unrestricted (WCU) bootstrap are supported. Methods are provided for a variety of fitted models, including 'lm()', 'feols()' (from package 'fixest') and 'felm()' (from package 'lfe').
Author: Alexander Fischer [aut, cre], David Roodman [aut], Achim Zeileis [ctb] (Author of included sandwich fragments), Nathaniel Graham [ctb] (Contributor to included sandwich fragments), Susanne Koell [ctb] (Contributor to included sandwich fragments), Laurent Berge [ctb] (Author of included fixest fragments), Sebastian Krantz [ctb]
Maintainer: Alexander Fischer <alexander-fischer1801@t-online.de>

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Package lmeresampler updated to version 0.2.0 with previous version 0.1.1 dated 2020-01-31

Title: Bootstrap Methods for Nested Linear Mixed-Effects Models
Description: Bootstrap routines for nested linear mixed effects models fit using either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the parametric, residual, cases, random effect block (REB), and wild bootstrap procedures. An overview of these procedures can be found in Van der Leeden et al. (2008) <doi: 10.1007/978-0-387-73186-5_11>, Carpenter, Goldstein & Rasbash (2003) <doi: 10.1111/1467-9876.00415>, and Chambers & Chandra (2013) <doi: 10.1080/10618600.2012.681216>.
Author: Adam Loy [aut, cre], Spenser Steele [aut], Jenna Korobova [aut]
Maintainer: Adam Loy <loyad01@gmail.com>

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Package isoboost updated to version 1.0.1 with previous version 1.0.0 dated 2020-01-19

Title: Isotonic Boosting Classification Rules
Description: In classification problems a monotone relation between some predictors and the classes may be assumed. In this package 'isoboost' we propose new boosting algorithms, based on LogitBoost, that incorporate this isotonicity information, yielding more accurate and easily interpretable rules.
Author: David Conde [aut, cre], Miguel A. Fernandez [aut], Cristina Rueda [aut], Bonifacio Salvador [aut]
Maintainer: David Conde <dconde@eio.uva.es>

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Package huxtable updated to version 5.3.0 with previous version 5.2.0 dated 2021-02-14

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Creates styled tables for data presentation. Export to HTML, LaTeX, RTF, 'Word', 'Excel', and 'PowerPoint'. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function for creation of regression tables, and 'quick_*' one-liners to print data to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package journalabbr updated to version 0.3.0 with previous version 0.2.5 dated 2021-04-20

Title: Journal Abbreviations for BibTeX Documents
Description: Since the reference management software (such as 'Zotero', 'Mendeley') exports Bib file journal abbreviation is not detailed enough, the 'journalabbr' package only abbreviates the journal field of Bib file, and then outputs a new Bib file for generating reference format with journal abbreviation on other software (such as 'texstudio'). The abbreviation table is from 'JabRef'. At the same time, 'Shiny' application is provided to generate 'thebibliography', a reference format that can be directly used for latex paper writing based on 'Rmd' files.
Author: ShuCai Zou [aut, cre], Yu Chen [aut]
Maintainer: ShuCai Zou <zscmoyujian@163.com>

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Package dqrng updated to version 0.3.0 with previous version 0.2.1 dated 2019-05-17

Title: Fast Pseudo Random Number Generators
Description: Several fast random number generators are provided as C++ header only libraries: The PCG family by O'Neill (2014 <https://www.cs.hmc.edu/tr/hmc-cs-2014-0905.pdf>) as well as Xoroshiro128+ and Xoshiro256+ by Blackman and Vigna (2018 <arXiv:1805.01407>). In addition fast functions for generating random numbers according to a uniform, normal and exponential distribution are included. The latter two use the Ziggurat algorithm originally proposed by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>). These functions are exported to R and as a C++ interface and are enabled for use with the default 64 bit generator from the PCG family, Xoroshiro128+ and Xoshiro256+ as well as the 64 bit version of the 20 rounds Threefry engine (Salmon et al., 2011 <doi:10.1145/2063384.2063405>) as provided by the package 'sitmo'.
Author: Ralf Stubner [aut, cre], daqana GmbH [cph], David Blackman [ctb], Melissa O'Neill [ctb], Sebastiano Vigna [ctb], Aaron Lun [ctb]
Maintainer: Ralf Stubner <ralf.stubner@gmail.com>

Diff between dqrng versions 0.2.1 dated 2019-05-17 and 0.3.0 dated 2021-05-01

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Package contact (with last version 1.2.7) was removed from CRAN

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

2021-04-29 1.2.7

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New package intensegRid with initial version 0.1.1
Package: intensegRid
Title: R Wrapper for the Carbon Intensity API
Version: 0.1.1
Author: Kasia Kulma <katarzyna.kulma@gmail.com>
Maintainer: Kasia Kulma <katarzyna.kulma@gmail.com>
Description: Electricity is not made equal and it vary in its carbon footprint (or carbon intensity) depending on its source. This package enables to access and query data provided by the Carbon Intensity API (<https://carbonintensity.org.uk/>). National Grid’s Carbon Intensity API provides an indicative trend of regional carbon intensity of the electricity system in Great Britain.
License: CC0
Encoding: UTF-8
LazyData: TRUE
URL: https://github.com/KKulma/intensegRid, https://kkulma.github.io/intensegRid/articles/intro-to-carbon-intensity.html
BugReports: https://github.com/KKulma/intensegRid/issues
Depends: R (>= 2.10)
Imports: dplyr, httr, jsonlite, lubridate, magrittr, tidyr, tibble, rlang, purrr
Suggests: utils, knitr, rmarkdown, testthat (>= 2.1.0), covr, vcr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-30 23:26:27 UTC; katarzynakulma
Repository: CRAN
Date/Publication: 2021-05-01 06:10:03 UTC

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Package mgee2 updated to version 0.2 with previous version 0.1 dated 2020-11-02

Title: Marginal Analysis of Misclassified Longitudinal Ordinal Data
Description: Three estimating equation methods are provided in this package for marginal analysis of longitudinal ordinal data with misclassified responses and covariates. The naive analysis which is solely based on the observed data without adjustment may lead to bias. The corrected generalized estimating equations (GEE2) method which is unbiased requires the misclassification parameters to be known beforehand. The corrected generalized estimating equations (GEE2) with validation subsample method estimates the misclassification parameters based on a given validation set. This package is an implementation of Chen (2013) <doi:10.1002/bimj.201200195>.
Author: Yuliang Xu [aut, cre], Zhijian Chen [aut], Shuo Shuo Liu [aut], Grace Yi [aut]
Maintainer: Yuliang Xu <yuliangx@umich.edu>

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Package V8 updated to version 3.4.2 with previous version 3.4.1 dated 2021-04-23

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 version 6 and up, a NodeJS shared library, or the legacy 3.14/3.15 branch of V8.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package phyloregion updated to version 1.0.6 with previous version 1.0.4 dated 2020-07-19

Title: Biogeographic Regionalization and Macroecology
Description: Computational infrastructure for biogeography, community ecology, and biodiversity conservation (Daru et al. 2020) <doi:10.1111/2041-210X.13478>. It is based on the methods described in Daru et al. (2020) <doi:10.1038/s41467-020-15921-6>. The original conceptual work is described in Daru et al. (2017) <doi:10.1016/j.tree.2017.08.013> on patterns and processes of biogeographical regionalization. Additionally, the package contains fast and efficient functions to compute more standard conservation measures such as phylogenetic diversity, phylogenetic endemism, evolutionary distinctiveness and global endangerment, as well as compositional turnover (e.g., beta diversity).
Author: Barnabas H. Daru [aut, cre, cph] (<https://orcid.org/0000-0002-2115-0257>), Piyal Karunarathne [aut], Klaus Schliep [aut] (<https://orcid.org/0000-0003-2941-0161>), Xiaobei Zhao [ctb], Albin Sandelin [ctb], Luciano Pataro [ctb]
Maintainer: Barnabas H. Daru <darunabas@gmail.com>

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