Tue, 20 Jul 2021

Package isoWater updated to version 1.0.1 with previous version 1.0.0 dated 2021-07-15

Title: Discovery, Retrieval, and Analysis of Water Isotope Data
Description: The wiDB...() functions provide an interface to the public API of the wiDB <https://github.com/SPATIAL-Lab/isoWater/blob/master/Protocol.md>: build, check and submit queries, and receive and unpack responses. Data analysis functions support Bayesian inference of the source and source isotope composition of water samples that may have experienced evaporation. Algorithms adapted from Bowen et al. (2018, <doi:10.1007/s00442-018-4192-5>).
Author: Gabe Bowen [aut, cre]
Maintainer: Gabe Bowen <gabe.bowen@utah.edu>

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New package CARlasso with initial version 0.1
Package: CARlasso
Title: Conditional Autoregressive LASSO
Version: 0.1
Maintainer: Yunyi Shen <yshen99@wisc.edu>
Description: Algorithms to fit Bayesian Conditional Autoregressive LASSO with automatic and adaptive shrinkage described in Shen and Solis-Lemus (2020) <arXiv:2012.08397>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
ByteCompile: TRUE
Suggests: testthat, knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Imports: Rcpp, coda, Matrix, igraph, ggraph, ggplot2, MASS, methods
SystemRequirements: C++11
VignetteBuilder: knitr
URL: https://github.com/YunyiShen/CAR-LASSO
BugReports: https://github.com/YunyiShen/CAR-LASSO/issues
NeedsCompilation: yes
Packaged: 2021-07-20 20:44:12 UTC; yunyi
Author: Yunyi Shen [aut, cre] (<https://orcid.org/0000-0003-2779-6507>), Claudia Solis-Lemus [aut] (<https://orcid.org/0000-0002-9789-8915>)
Repository: CRAN
Date/Publication: 2021-07-20 23:30:02 UTC

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Package paletteer updated to version 1.4.0 with previous version 1.3.0 dated 2021-01-06

Title: Comprehensive Collection of Color Palettes
Description: The choices of color palettes in R can be quite overwhelming with palettes spread over many packages with many different API's. This packages aims to collect all color palettes across the R ecosystem under the same package with a streamlined API.
Author: See AUTHORS file.
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

Diff between paletteer versions 1.3.0 dated 2021-01-06 and 1.4.0 dated 2021-07-20

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Package BayesPPD updated to version 1.0.2 with previous version 1.0.1 dated 2021-07-13

Title: Bayesian Power Prior Design
Description: Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. The Bayesian clinical trial design methodology is described in Chen et al. (2011) <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) <doi:10.1093/biostatistics/kxy009>. The normalized power prior is described in Duan et al. (2006) <doi:10.1002/env.752> and Ibrahim et al. (2015) <doi:10.1002/sim.6728>.
Author: Yueqi Shen [aut, cre], Matthew A. Psioda [aut], Joseph G. Ibrahim [aut]
Maintainer: Yueqi Shen <ys137@live.unc.edu>

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Package QFASA updated to version 1.1.1 with previous version 1.1.0 dated 2021-06-10

Title: Quantitative Fatty Acid Signature Analysis
Description: Accurate estimates of the diets of predators are required in many areas of ecology, but for many species current methods are imprecise, limited to the last meal, and often biased. The diversity of fatty acids and their patterns in organisms, coupled with the narrow limitations on their biosynthesis, properties of digestion in monogastric animals, and the prevalence of large storage reservoirs of lipid in many predators, led to the development of quantitative fatty acid signature analysis (QFASA) to study predator diets.
Author: Connie Stewart [cre, aut, cph], Sara Iverson [aut, cph], Chris Field [aut], Don Bowen [aut], Wade Blanchard [aut], Shelley Lang [aut], Justin Kamerman [aut], Hongchang Bao [ctb], Holly Steeves [aut], Jennifer McNichol [aut]
Maintainer: Connie Stewart <connie.stewart@unb.ca>

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Package HEDA updated to version 0.1.5 with previous version 0.1.4 dated 2021-06-15

Title: 'Hydropeaking Events Detection Algorithm'
Description: This tool identifies hydropeaking events from raw time-series flow record, a rapid flow variation induced by the hourly-adjusted electricity market. The novelty of 'HEDA' is to use vector angle instead of the first-order derivative to detect change points which not only largely improves the computing efficiency but also accounts for the rate of change of the flow variation. More details <doi:10.1016/j.jhydrol.2021.126392>.
Author: Tingyu Li [aut, cre], Xiaotian Zou [aut], Gregory Pasternack [aut]
Maintainer: Tingyu Li <styli@ucdavis.edu>

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Package benford updated to version 1.0.1 with previous version 1.0.0 dated 2021-06-04

Title: Benford's Analysis on Large Data Sets
Description: Perform the Benford's Analysis to a data set in order to evaluate if it contains human fabricated data. For more details on the method see Moreau, 2021, Model Assist. Statist. Appl., 16 (2021) 73–79. <doi:10.3233/MAS-210517>.
Author: Vitor Hugo Moreau
Maintainer: Vitor Hugo Moreau <vitorhmc@ufba.br>

Diff between benford versions 1.0.0 dated 2021-06-04 and 1.0.1 dated 2021-07-20

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Package agricolaeplotr updated to version 0.2.2 with previous version 0.2.1 dated 2021-07-09

Title: Visualization of Design of Experiments from the 'agricolae' Package
Description: Visualization of Design of Experiments from the 'agricolae' package with 'ggplot2' framework The user provides an experiment design from the 'agricolae' package, calls the corresponding function and will receive a visualization with 'ggplot2' based functions that are specific for each design. As there are many different designs, each design is tested on its type. The output can be modified with standard 'ggplot2' commands or with other packages with 'ggplot2' function extensions.
Author: Jens Harbers [aut, cre] (<https://orcid.org/0000-0001-6634-623X>)
Maintainer: Jens Harbers <jensharbers@gmail.com>

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Package tzdb updated to version 0.1.2 with previous version 0.1.1 dated 2021-04-22

Title: Time Zone Database Information
Description: Provides an up-to-date copy of the Internet Assigned Numbers Authority (IANA) Time Zone Database. It is updated periodically to reflect changes made by political bodies to time zone boundaries, UTC offsets, and daylight saving time rules. Additionally, this package provides a C++ interface for working with the 'date' library. 'date' provides comprehensive support for working with dates and date-times, which this package exposes to make it easier for other R packages to utilize. Headers are provided for calendar specific calculations, along with a limited interface for time zone manipulations.
Author: Davis Vaughan [aut, cre], Howard Hinnant [cph] (Author of the included date library), RStudio [cph, fnd]
Maintainer: Davis Vaughan <davis@rstudio.com>

Diff between tzdb versions 0.1.1 dated 2021-04-22 and 0.1.2 dated 2021-07-20

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Package arctools updated to version 1.1.4 with previous version 1.1.2 dated 2021-04-15

Title: Processing and Physical Activity Summaries of Minute Level Activity Data
Description: Provides functions to process minute level actigraphy-measured activity counts data and extract commonly used physical activity volume and fragmentation metrics.
Author: Marta Karas [aut, cre] (<https://orcid.org/0000-0001-5889-3970>), Jennifer Schrack [aut] (<https://orcid.org/0000-0001-9244-9267>), Jacek Urbanek [aut] (<https://orcid.org/0000-0002-1890-8899>)
Maintainer: Marta Karas <marta.karass@gmail.com>

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Package VAM updated to version 0.5.3 with previous version 0.5.2 dated 2021-03-15

Title: Variance-Adjusted Mahalanobis
Description: Contains logic for cell-specific gene set scoring of single cell RNA sequencing data.
Author: H. Robert Frost
Maintainer: H. Robert Frost <rob.frost@dartmouth.edu>

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Package RcppCWB updated to version 0.4.3 with previous version 0.4.2 dated 2021-07-13

Title: 'Rcpp' Bindings for the 'Corpus Workbench' ('CWB')
Description: 'Rcpp' Bindings for the C code of the 'Corpus Workbench' ('CWB'), an indexing and query engine to efficiently analyze large corpora (<http://cwb.sourceforge.net>). 'RcppCWB' is licensed under the GNU GPL-3, in line with the GPL-3 license of the 'CWB' (<https://www.r-project.org/Licenses/GPL-3>). The 'CWB' relies on 'pcre' (BSD license, see <http://www.pcre.org/licence.txt>) and 'GLib' (LGPL license, see <https://www.gnu.org/licenses/lgpl-3.0.en.html>). See the file LICENSE.note for further information. The package includes modified code of the 'rcqp' package (GPL-2, see <https://cran.r-project.org/package=rcqp>). The original work of the authors of the 'rcqp' package is acknowledged with great respect, and they are listed as authors of this package. To achieve cross-platform portability (including Windows), using 'Rcpp' for wrapper code is the approach used by 'RcppCWB'.
Author: Andreas Blaette [aut, cre], Bernard Desgraupes [aut], Sylvain Loiseau [aut], Oliver Christ [ctb], Bruno Maximilian Schulze [ctb], Stefan Evert [ctb], Arne Fitschen [ctb], Jeroen Ooms [ctb], Marius Bertram [ctb]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

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Package jstable updated to version 1.0.5 with previous version 1.0.4 dated 2021-07-12

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package ffscrapr updated to version 1.4.4 with previous version 1.4.3 dated 2021-06-12

Title: API Client for Fantasy Football League Platforms
Description: Helps access various Fantasy Football APIs by handling authentication and rate-limiting, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.
Author: Tan Ho [aut, cre], Tony ElHabr [ctb], Joe Sydlowski [ctb]
Maintainer: Tan Ho <tan@tanho.ca>

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Package Temporal updated to version 0.3.0 with previous version 0.2.0 dated 2020-03-16

Title: Parametric Time to Event Analysis
Description: Performs maximum likelihood based estimation and inference on time to event data, possibly subject to non-informative right censoring. FitParaSurv() provides maximum likelihood estimates of model parameters and distributional characteristics, including the mean, median, variance, and restricted mean. CompParaSurv() compares the mean, median, and restricted mean survival experiences of two treatment groups. Candidate distributions include the exponential, gamma, generalized gamma, log-normal, and Weibull.
Author: Zachary McCaw [aut, cre] (<https://orcid.org/0000-0002-2006-9828>)
Maintainer: Zachary McCaw <zmccaw@alumni.harvard.edu>

Diff between Temporal versions 0.2.0 dated 2020-03-16 and 0.3.0 dated 2021-07-20

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 Temporal-0.2.0/Temporal/src                                                                                   |only
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 Temporal-0.3.0/Temporal/DESCRIPTION                                                                           |   28 
 Temporal-0.3.0/Temporal/MD5                                                                                   |  204 +-
 Temporal-0.3.0/Temporal/NAMESPACE                                                                             |   35 
 Temporal-0.3.0/Temporal/R/Class.R                                                                             |  259 +-
 Temporal-0.3.0/Temporal/R/Comparison.R                                                                        |  917 ++++------
 Temporal-0.3.0/Temporal/R/DataGen.R                                                                           |  413 ++--
 Temporal-0.3.0/Temporal/R/Exponential.R                                                                       |  196 +-
 Temporal-0.3.0/Temporal/R/Fitting.R                                                                           |  171 +
 Temporal-0.3.0/Temporal/R/Gamma.R                                                                             |  515 ++---
 Temporal-0.3.0/Temporal/R/GenGamma.R                                                                          |  682 ++++---
 Temporal-0.3.0/Temporal/R/Inputs.R                                                                            |  394 ++--
 Temporal-0.3.0/Temporal/R/LogLik.R                                                                            |  215 +-
 Temporal-0.3.0/Temporal/R/LogNormal.R                                                                         |  440 ++--
 Temporal-0.3.0/Temporal/R/NewtonRaphson.R                                                                     |only
 Temporal-0.3.0/Temporal/R/PackageHelp.R                                                                       |   12 
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 Temporal-0.3.0/Temporal/R/Weibull.R                                                                           |  398 ++--
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 Temporal-0.3.0/Temporal/man/rGenGamma.Rd                                                                      |    4 
 Temporal-0.3.0/Temporal/man/rLogNormal.Rd                                                                     |    4 
 Temporal-0.3.0/Temporal/man/rWeibull.Rd                                                                       |    4 
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More information about Temporal at CRAN
Permanent link

Package sivs updated to version 0.2.5 with previous version 0.2.4 dated 2020-11-04

Title: Stable Iterative Variable Selection
Description: An iterative feature selection method (manuscript submitted) that internally utilizes various Machine Learning methods that have embedded feature reduction in order to shrink down the feature space into a small and yet robust set.
Author: Mehrad Mahmoudian [aut, cre] (<https://orcid.org/0000-0001-7650-1862>), Mikko Venäläinen [aut, rev] (<https://orcid.org/0000-0003-1777-4259>), Riku Klèn [aut, ths] (<https://orcid.org/0000-0002-0982-8360>), Laura Elo [aut, ths, fnd] (<https://orcid.org/0000-0001-5648-4532>)
Maintainer: Mehrad Mahmoudian <mehrad.mahmoudian@utu.fi>

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Package PROsetta updated to version 0.3.2 with previous version 0.3.0 dated 2021-04-13

Title: Linking Patient-Reported Outcomes Measures
Description: Perform scale linking to establish relationships between instruments that measure similar constructs according to the PROsetta Stone methodology, as in Choi, Schalet, Cook, & Cella (2014) <doi:10.1037/a0035768>.
Author: Seung W. Choi [aut, cre] (<https://orcid.org/0000-0003-4777-5420>), Sangdon Lim [aut] (<https://orcid.org/0000-0002-2988-014X>), Benjamin D. Schalet [ctb], Aaron J. Kaat [ctb], David Cella [ctb]
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>

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 PROsetta-0.3.2/PROsetta/R/linking_functions.R                                                          |    4 
 PROsetta-0.3.2/PROsetta/README.md                                                                      |    2 
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Package IFAA updated to version 1.0.2 with previous version 1.0.1 dated 2021-01-06

Title: Robust Analysis for Absolute Abundance in Microbiome
Description: A novel approach to make inference on the association of covariates with the absolute abundance (AA) of 'microbiome' in an ecosystem. It can be also directly applied to relative abundance (RA) data to make inference on AA (even if AA data is not available) because the ratio of two RA is equal ratio of their AA. This algorithm can estimate and test the associations of interest while adjusting for potential 'confounders'. The estimates of this method have easy interpretation like a typical regression analysis. High-dimensional covariates are handled with regularization and it is implemented by parallel computing. This algorithm finds optimal reference 'taxa/OTU (Operational Taxonomic Unit)/ASV (Amplicon Sequence Bariant)' and uses permutation to control FDR (False Discovery Rate).
Author: Zhigang Li [aut, cre]
Maintainer: Zhigang Li <zhigang.li@ufl.edu>

Diff between IFAA versions 1.0.1 dated 2021-01-06 and 1.0.2 dated 2021-07-20

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Package ggside updated to version 0.1.1 with previous version 0.1.0 dated 2021-05-17

Title: Side Grammar Graphics
Description: The grammar of graphics as shown in 'ggplot2' has provided an expressive API for users to build plots. 'ggside' extends 'ggplot2' by allowing users to add graphical information about one of the main panel's axis using a familiar 'ggplot2' style API with tidy data. This package is particularly useful for visualizing metadata on a discrete axis, or summary graphics on a continuous axis such as a boxplot or a density distribution.
Author: Justin Landis [aut, cre]
Maintainer: Justin Landis <jtlandis314@gmail.com>

Diff between ggside versions 0.1.0 dated 2021-05-17 and 0.1.1 dated 2021-07-20

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Package RVIpkg updated to version 0.2.5 with previous version 0.2.3 dated 2021-01-28

Title: Regional Vulnerability Index
Description: The Regional Vulnerability Index (RVI), a statistical measure of brain structural abnormality, quantifies an individual's similarity to the expected pattern of deficits in schizophrenia (Kochunov P, Fan F, Ryan MC, et al. (2020) <doi:10.1002/hbm.25045>).
Author: Peter Kochunov [aut], Si Gao [aut, cre], Fatima Talib [aut]
Maintainer: Si Gao <sgao@som.umaryland.edu>

Diff between RVIpkg versions 0.2.3 dated 2021-01-28 and 0.2.5 dated 2021-07-20

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Package Numero updated to version 1.8.2 with previous version 1.8.1 dated 2021-07-13

Title: Statistical Framework to Define Subgroups in Complex Datasets
Description: High-dimensional datasets that do not exhibit a clear intrinsic clustered structure pose a challenge to conventional clustering algorithms. For this reason, we developed an unsupervised framework that helps scientists to better subgroup their datasets based on visual cues, please see Gao S, Mutter S, Casey A, Makinen V-P (2019) Numero: a statistical framework to define multivariable subgroups in complex population-based datasets, Int J Epidemiology, 48:369-37, <doi:10.1093/ije/dyy113>. The framework includes the necessary functions to construct a self-organizing map of the data, to evaluate the statistical significance of the observed data patterns, and to visualize the results.
Author: Song Gao [aut], Stefan Mutter [aut], Aaron E. Casey [aut], Ville-Petteri Makinen [aut, cre]
Maintainer: Ville-Petteri Makinen <vpmakine@gmail.com>

Diff between Numero versions 1.8.1 dated 2021-07-13 and 1.8.2 dated 2021-07-20

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Permanent link

New package OpenABMCovid19 with initial version 1.0.1
Package: OpenABMCovid19
Version: 1.0.1
Title: Agent-Based Model for Modelling the COVID-19
License: GPL-3
Authors@R: c( person("Oli", "Legat", role = c("cre"), email = "olegat@google.com"), person("Robert", "Hinch", role = "aut", email = "robert.hinch@gmail.com"), person("Will", "Probert", role = "aut", comment = "a.k.a. p-robot", email = "will@probert.co.nz"), person("Ana", "Bulas Cruz", role = "ctb"), person("Andrea", "Stewart", role = "ctb"), person("Anel", "Nurtay", role = "ctb"), person("Anthony", "Finkelstein", role = "ctb"), person("Ares", "Meroueh", role = "ctb"), person("Arun", "Lobo", role = "ctb"), person("Bryn", "Mathias", role = "ctb"), person("Chris", "Wymant", role = "ctb"), person("Christophe", "Fraser", role = "ctb"), person("Daniel", "Montero", role = "ctb"), person("David", "G Bonsall", role = "ctb"), person("Evan", "Blumgart", role = "ctb"), person("Feifan", "Chen", role = "ctb"), person("Felix", "Breuer", role = "ctb"), person("James", "Lockyer", role = "ctb"), person("James", "Warren", role = "ctb"), person("Katrina", "Lythgoe", role = "ctb"), person("Kelvin", "Van Vurren", role = "ctb"), person("Lele", "Zhao", role = "ctb"), person("Luca", "Ferretti", role = "ctb"), person("Lucie", "Abeler-Dörner", role = "ctb"), person("Matthew", "Abueg", role = "ctb"), person("Matthew", "Hall", role = "ctb"), person("Michelle", "Kendall", role = "ctb"), person("Neo", "Wu", role = "ctb"), person("Nicole", "Mather", role = "ctb"), person("Ross", "Boylan", role = "ctb"), person("Scott", "Stevenson", role = "ctb"), person("Setrak", "Balian", role = "ctb"), person("feldnerd", "", role = "ctb", email = "56836977+feldnerd@users.noreply.github.com"), person("mattea", "", role = "ctb", email = "mattea@users.noreply.github.com"), person("neozwu", "", role = "ctb", email = "neozwu@users.noreply.github.com"), person("rory-improbable", "", role = "ctb", email = "rory@improbable.io"))
Description: OpenABM-Covid19 is an agent-based model (ABM) developed to simulate the spread of COVID-19 in a city and to analyse the effect of both passive and active intervention strategies. Interactions between individuals are modelled on networks representing households, work-places and random contacts. The infection is transmitted between these contacts and the progression of the disease in individuals is modelled. Instantaneous contract-tracing and quarantining of contacts is modelled allowing the evaluation of the design and configuration of digital contract-tracing mobile phone apps. Robert Hinch, William J M Probert, et al. (2020) <doi:10.1101/2020.09.16.20195925>.
Depends: R6
Imports: methods, xptr
Collate: OpenABMCovid19.R util.R Parameters.R Network.R Model.R Simulation.R Strain.R VaccineSchedule.R Vaccine.R
Suggests: testthat
Encoding: UTF-8
SystemRequirements: GNU GSL
Biarch: FALSE
NeedsCompilation: yes
Packaged: 2021-07-16 13:30:58 UTC; olegat
Author: Oli Legat [cre], Robert Hinch [aut], Will Probert [aut] (a.k.a. p-robot), Ana Bulas Cruz [ctb], Andrea Stewart [ctb], Anel Nurtay [ctb], Anthony Finkelstein [ctb], Ares Meroueh [ctb], Arun Lobo [ctb], Bryn Mathias [ctb], Chris Wymant [ctb], Christophe Fraser [ctb], Daniel Montero [ctb], David G Bonsall [ctb], Evan Blumgart [ctb], Feifan Chen [ctb], Felix Breuer [ctb], James Lockyer [ctb], James Warren [ctb], Katrina Lythgoe [ctb], Kelvin Van Vurren [ctb], Lele Zhao [ctb], Luca Ferretti [ctb], Lucie Abeler-Dörner [ctb], Matthew Abueg [ctb], Matthew Hall [ctb], Michelle Kendall [ctb], Neo Wu [ctb], Nicole Mather [ctb], Ross Boylan [ctb], Scott Stevenson [ctb], Setrak Balian [ctb], feldnerd [ctb], mattea [ctb], neozwu [ctb], rory-improbable [ctb]
Maintainer: Oli Legat <olegat@google.com>
Repository: CRAN
Date/Publication: 2021-07-20 10:40:02 UTC

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New package boomer with initial version 0.1.0
Package: boomer
Title: Debugging Tools to Inspect the Intermediate Steps of a Call
Version: 0.1.0
Authors@R: person(given = "Antoine", family = "Fabri", role = c("aut", "cre"), email = "antoine.fabri@gmail.com")
Description: Provides debugging tools that let you inspect the intermediate results of a call. The output looks as if we explode a call into its parts hence the package name.
License: GPL-3
Encoding: UTF-8
Language: en
Imports: crayon, methods, pryr, rlang, rstudioapi, styler, withr
Suggests: lobstr, magrittr, testthat (>= 3.0.0)
URL: https://github.com/moodymudskipper/boomer
BugReports: https://github.com/moodymudskipper/boomer/issues
NeedsCompilation: no
Packaged: 2021-07-20 02:01:41 UTC; Antoine
Author: Antoine Fabri [aut, cre]
Maintainer: Antoine Fabri <antoine.fabri@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-20 10:10:02 UTC

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Package sbtools updated to version 1.1.17 with previous version 1.1.16 dated 2021-07-01

Title: USGS ScienceBase Tools
Description: Tools for interacting with U.S. Geological Survey ScienceBase <https://www.sciencebase.gov> interfaces. ScienceBase is a data cataloging and collaborative data management platform. Functions included for querying ScienceBase, and creating and fetching datasets.
Author: David Blodgett [cre], Luke Winslow [aut], Scott Chamberlain [ctb], Alison Appling [ctb], Jordan Read [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between sbtools versions 1.1.16 dated 2021-07-01 and 1.1.17 dated 2021-07-20

 DESCRIPTION                   |    6 -
 MD5                           |   62 +++++++-------
 R/REST_helpers.R              |    8 +
 R/current_session.R           |   42 ++++-----
 R/identifier_exists.R         |   57 ++++++-------
 R/item_exists.R               |   59 ++++++-------
 R/item_get.R                  |    3 
 R/item_get_fields.R           |   55 ++++++------
 R/item_list_files.R           |    6 -
 R/item_rename_files.R         |   81 +++++++++----------
 R/item_update_identifier.R    |  178 ++++++++++++++++++++----------------------
 R/item_upload_files.R         |    3 
 R/query_item_identifier.R     |  175 ++++++++++++++++++++---------------------
 R/query_sb.R                  |    3 
 R/query_sb_datatype.R         |    7 -
 R/query_sb_date.R             |   91 ++++++++++-----------
 R/query_sb_doi.R              |    3 
 R/query_sb_spatial.R          |    4 
 R/query_sb_text.R             |    3 
 R/sb_ping.R                   |    4 
 R/session_age.R               |   77 ++++++++----------
 R/session_renew.R             |  115 +++++++++++++--------------
 R/session_validate.R          |   99 +++++++++++------------
 R/set_endpoint.R              |   94 ++++++++++------------
 man/current_session.Rd        |    3 
 man/identifier_exists.Rd      |    4 
 man/item_list_files.Rd        |    5 -
 man/item_update_identifier.Rd |    1 
 man/query_sb_spatial.Rd       |    1 
 man/sb_datatypes.Rd           |    3 
 man/sb_ping.Rd                |    3 
 man/set_endpoint.Rd           |    1 
 32 files changed, 619 insertions(+), 637 deletions(-)

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New package kdtools with initial version 0.5.0
Package: kdtools
Title: Tools for Working with Multidimensional Data
Version: 0.5.0
Authors@R: person("Timothy", "Keitt", email = "tkeitt@gmail.com", role = c("aut", "cre"))
Description: Provides various tools for working with multidimensional data in R and C++, including extremely fast nearest-neighbor- and range- queries without the overhead of linked tree nodes.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp (>= 0.12.14)
LinkingTo: Rcpp, strider, BH
SystemRequirements: C++17
Suggests: testthat, knitr, markdown, rmarkdown, covr, ggplot2, tidytext, printr, scales, BH
VignetteBuilder: knitr
URL: https://github.com/thk686/kdtools
BugReports: https://github.com/thk686/kdtools/issues
NeedsCompilation: yes
Packaged: 2021-07-19 17:22:33 UTC; tkeitt
Author: Timothy Keitt [aut, cre]
Maintainer: Timothy Keitt <tkeitt@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-20 09:40:02 UTC

More information about kdtools at CRAN
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Package WRS2 updated to version 1.1-3 with previous version 1.1-2 dated 2021-07-02

Title: A Collection of Robust Statistical Methods
Description: A collection of robust statistical methods based on Wilcox' WRS functions. It implements robust t-tests (independent and dependent samples), robust ANOVA (including between-within subject designs), quantile ANOVA, robust correlation, robust mediation, and nonparametric ANCOVA models based on robust location measures.
Author: Patrick Mair [cre, aut], Rand Wilcox [aut], Indrajeet Patil [ctb]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

Diff between WRS2 versions 1.1-2 dated 2021-07-02 and 1.1-3 dated 2021-07-20

 DESCRIPTION        |    8 ++++----
 MD5                |   44 ++++++++++++++++++++++----------------------
 R/ZYmediate.R      |    2 +-
 R/akp.effect.R     |    2 +-
 R/binband.R        |    2 +-
 R/discmcp.R        |    2 +-
 R/discstep.R       |    2 +-
 R/lincon.R         |    7 +++----
 R/linconb.R        |    2 +-
 R/med1way.R        |    3 +--
 R/med1way.crit.R   |    2 +-
 R/pbcor.R          |    2 +-
 R/qcomhd.R         |    2 +-
 R/rmmcp.R          |    2 +-
 R/t1way.R          |    2 +-
 R/trimci.R         |    2 +-
 R/trimcibt.R       |    3 ++-
 R/wincor.R         |    2 +-
 R/yuen.effect.ci.R |    2 +-
 R/yuen1.R          |    2 +-
 inst/NEWS.Rd       |    8 ++++++++
 inst/doc/WRS2.pdf  |binary
 man/t1way.Rd       |    5 ++++-
 23 files changed, 59 insertions(+), 49 deletions(-)

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Package smacof updated to version 2.1-3 with previous version 2.1-2 dated 2021-02-15

Title: Multidimensional Scaling
Description: Implements the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): ratio/interval/ordinal/spline MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal), MDS with spherical restrictions, and ratio/interval/ordinal/spline unfolding (circular restrictions, row-conditional). Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.
Author: Patrick Mair [aut, cre], Jan De Leeuw [aut], Patrick J. F. Groenen [aut], Ingwer Borg [ctb]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

Diff between smacof versions 2.1-2 dated 2021-02-15 and 2.1-3 dated 2021-07-20

 DESCRIPTION          |    8 ++++----
 MD5                  |   22 +++++++++++-----------
 R/stress0.R          |   16 +++++++++++++++-
 build/partial.rdb    |binary
 build/vignette.rds   |binary
 inst/CITATION        |   18 ++++++++++--------
 inst/NEWS.Rd         |    7 +++++++
 inst/doc/smacof.R    |    2 +-
 inst/doc/smacof.Rnw  |    2 +-
 inst/doc/smacof.pdf  |binary
 man/stress0.Rd       |   19 +++++++++++++++++--
 vignettes/smacof.Rnw |    2 +-
 12 files changed, 67 insertions(+), 29 deletions(-)

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Package SDLfilter updated to version 2.1.1 with previous version 2.1.0 dated 2021-04-03

Title: Filtering and Assessing the Sample Size of Tracking Data
Description: Functions to filter GPS/Argos locations, as well as assessing the sample size for the analysis of animal distributions. The filters remove temporal and spatial duplicates, fixes located at a given height from estimated high tide line, and locations with high error as described in Shimada et al. (2012) <doi:10.3354/meps09747> and Shimada et al. (2016) <doi:10.1007/s00227-015-2771-0>. Sample size for the analysis of animal distributions can be assessed by the conventional area-based approach or the alternative probability-based approach as described in Shimada et al. (2021) <doi:10.1111/2041-210X.13506>.
Author: Takahiro Shimada
Maintainer: Takahiro Shimada <taka.shimada@gmail.com>

Diff between SDLfilter versions 2.1.0 dated 2021-04-03 and 2.1.1 dated 2021-07-20

 DESCRIPTION                        |    8 +++----
 MD5                                |   40 ++++++++++++++++++-------------------
 NEWS                               |    6 +++++
 NEWS.md                            |    4 +++
 R/ddfilter_loop.R                  |    9 ++++----
 R/ddfilter_speed.R                 |    8 ++++---
 R/distfilter.R                     |   33 ++++++++++++++++--------------
 R/dupfilter.R                      |    5 +++-
 R/dupfilter_qi.R                   |   11 +++++++---
 R/dupfilter_space.R                |   10 ++++++---
 R/dupfilter_time.R                 |   11 +++++++---
 R/track_param.R                    |    1 
 README.md                          |   39 ++++++++++++++++--------------------
 build/partial.rdb                  |binary
 man/boot_overlap.Rd                |    2 -
 man/dupfilter.Rd                   |    3 ++
 man/dupfilter_qi.Rd                |    2 +
 man/dupfilter_space.Rd             |    3 ++
 man/dupfilter_time.Rd              |    3 ++
 man/figures/unnamed-chunk-13-1.png |binary
 man/figures/unnamed-chunk-7-1.png  |binary
 21 files changed, 120 insertions(+), 78 deletions(-)

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New package romic with initial version 1.0.0
Package: romic
Title: R for High-Dimensional Omic Data
Version: 1.0.0
Authors@R: c( person( given = "Sean", family = "Hackett", email = "sean@calicolabs.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9553-4341") ), person( given = "Calico Life Sciences LLC", role = c("cph", "fnd") ) )
Maintainer: Sean Hackett <sean@calicolabs.com>
Description: Represents high-dimensional data as tables of features, samples and measurements, and a design list for tracking the meaning of individual variables. Using this format, filtering, normalization, and other transformations of a dataset can be carried out in a flexible manner. 'romic' takes advantage of these transformations to create interactive 'shiny' apps for exploratory data analysis such as an interactive heatmap.
Depends: R (>= 3.2.3)
Imports: checkmate, dplyr, ggplot2, glue, purrr, readr, reshape2, rlang, shiny (>= 1.5.0), stringr, tibble, tidyr (>= 1.0.0)
Suggests: knitr, lazyeval, plotly, rmarkdown, usethis, testthat
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-07-19 16:49:20 UTC; calico-loaner
Author: Sean Hackett [aut, cre] (<https://orcid.org/0000-0002-9553-4341>), Calico Life Sciences LLC [cph, fnd]
Repository: CRAN
Date/Publication: 2021-07-20 09:00:02 UTC

More information about romic at CRAN
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Package readr updated to version 2.0.0 with previous version 1.4.0 dated 2020-10-05

Title: Read Rectangular Text Data
Description: The goal of 'readr' is to provide a fast and friendly way to read rectangular data (like 'csv', 'tsv', and 'fwf'). It is designed to flexibly parse many types of data found in the wild, while still cleanly failing when data unexpectedly changes.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], Romain Francois [ctb], RStudio [cph, fnd], https://github.com/mandreyel/ [cph] (mio library), Jukka Jylänki [ctb, cph] (grisu3 implementation), Mikkel Jørgensen [ctb, cph] (grisu3 implementation)
Maintainer: Jim Hester <jim.hester@rstudio.com>

Diff between readr versions 1.4.0 dated 2020-10-05 and 2.0.0 dated 2021-07-20

 readr-1.4.0/readr/src/boost.h                             |only
 readr-1.4.0/readr/src/localtime.c                         |only
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 readr-2.0.0/readr/DESCRIPTION                             |   28 
 readr-2.0.0/readr/LICENSE                                 |  341 --------
 readr-2.0.0/readr/MD5                                     |  288 +++----
 readr-2.0.0/readr/NAMESPACE                               |   11 
 readr-2.0.0/readr/NEWS.md                                 |  168 ++++
 readr-2.0.0/readr/R/callback.R                            |   26 
 readr-2.0.0/readr/R/col_types.R                           |  102 +-
 readr-2.0.0/readr/R/collectors.R                          |   88 +-
 readr-2.0.0/readr/R/cpp11.R                               |   54 -
 readr-2.0.0/readr/R/date-symbols.R                        |    2 
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 readr-2.0.0/readr/R/file.R                                |    4 
 readr-2.0.0/readr/R/lines.R                               |   73 +
 readr-2.0.0/readr/R/locale.R                              |   28 
 readr-2.0.0/readr/R/melt_delim.R                          |   18 
 readr-2.0.0/readr/R/melt_delim_chunked.R                  |   12 
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 readr-2.0.0/readr/R/problems.R                            |   61 -
 readr-2.0.0/readr/R/rds.R                                 |   23 
 readr-2.0.0/readr/R/read_builtin.R                        |    2 
 readr-2.0.0/readr/R/read_delim.R                          |  377 +++++++--
 readr-2.0.0/readr/R/read_delim_chunked.R                  |  117 +-
 readr-2.0.0/readr/R/read_fwf.R                            |  163 ++-
 readr-2.0.0/readr/R/read_lines_chunked.R                  |    2 
 readr-2.0.0/readr/R/read_log.R                            |   11 
 readr-2.0.0/readr/R/read_table.R                          |   94 +-
 readr-2.0.0/readr/R/readr.R                               |    2 
 readr-2.0.0/readr/R/source.R                              |   42 -
 readr-2.0.0/readr/R/tokenizer.R                           |   23 
 readr-2.0.0/readr/R/type_convert.R                        |   15 
 readr-2.0.0/readr/R/utils.R                               |   86 +-
 readr-2.0.0/readr/R/write.R                               |  269 +++++-
 readr-2.0.0/readr/R/zzz.R                                 |    5 
 readr-2.0.0/readr/README.md                               |   75 -
 readr-2.0.0/readr/build/readr.pdf                         |binary
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 readr-2.0.0/readr/src/Iconv.cpp                           |   24 
 readr-2.0.0/readr/src/LocaleInfo.cpp                      |    5 
 readr-2.0.0/readr/src/LocaleInfo.h                        |    2 
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 readr-2.0.0/readr/src/Reader.cpp                          |   85 +-
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 readr-2.0.0/readr/src/Source.cpp                          |   17 
 readr-2.0.0/readr/src/Source.h                            |   13 
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New package fedmatch with initial version 2.0.0
Package: fedmatch
Title: Fast, Flexible, and User-Friendly Record Linkage Methods
Version: 2.0.0
Authors@R: c(person("Melanie", "Friedrichs", email = "melanie.r.friedrichs@gmail.com", role = c("aut")), person("Chris", "Webster", email = "chris0webster@gmail.com", role = c("aut", "cre")), person("Blake", "Marsh", email = "blake.marsh@kc.frb.org", role = c("aut")), person("Jacob", "Dice", email = "Jacob.Dice@kc.frb.org", role = c("aut")), person("Seung", "Lee", email = "seung.j.lee@frb.gov", role = c("aut")))
Description: Provides a flexible set of tools for matching two un-linked data sets. 'fedmatch' allows for three ways to match data: exact matches, fuzzy matches, and multi-variable matches. It also allows an easy combination of these three matches via the tier matching function.
Depends: R (>= 4.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stringdist, SnowballC, gtools, stringr, purrr, Rcpp, parallel, forcats, data.table, magrittr, scales
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
LinkingTo: Rcpp, BH
NeedsCompilation: yes
Packaged: 2021-07-19 14:26:46 UTC; cwebster
Author: Melanie Friedrichs [aut], Chris Webster [aut, cre], Blake Marsh [aut], Jacob Dice [aut], Seung Lee [aut]
Maintainer: Chris Webster <chris0webster@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-20 08:40:02 UTC

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Package exdqlm updated to version 0.1.2 with previous version 0.1.1 dated 2021-06-18

Title: Extended Dynamic Quantile Linear Models
Description: Routines for Bayesian estimation and analysis of dynamic quantile linear models utilizing the extended asymmetric Laplace error distribution, also known as extended dynamic quantile linear models (exDQLM) described in Barata et al (2020) <https://www.soe.ucsc.edu/research/technical-reports/UCSC-SOE-20-14>.
Author: Raquel Barata [aut, cre], Raquel Prado [ths], Bruno Sanso [ths]
Maintainer: Raquel Barata <raquel.a.barata@gmail.com>

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Package earth updated to version 5.3.1 with previous version 5.3.0 dated 2020-10-11

Title: Multivariate Adaptive Regression Splines
Description: Build regression models using the techniques in Friedman's papers "Fast MARS" and "Multivariate Adaptive Regression Splines" <doi:10.1214/aos/1176347963>. (The term "MARS" is trademarked and thus not used in the name of the package.)
Author: Stephen Milborrow. Derived from mda:mars by Trevor Hastie and Rob Tibshirani. Uses Alan Miller's Fortran utilities with Thomas Lumley's leaps wrapper.
Maintainer: Stephen Milborrow <milbo@sonic.net>

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Package DCEtool updated to version 0.3.1 with previous version 0.2.3 dated 2021-05-24

Title: Create, Survey and Analyse Discrete Choice Experiments
Description: This app is intended to be a complete package for creating, surveying, and analysing discrete choice experiments. Although all these functionalities are available, the app can also be used only to obtain the design of a discrete choice experiment. Reference: Perez-Troncoso, D. (2021) <https://github.com/danielpereztr/DCEtool>.
Author: Daniel Perez Troncoso [aut, cre] (<https://orcid.org/0000-0003-0091-8148>)
Maintainer: Daniel Perez Troncoso <danielperez@ugr.es>

Diff between DCEtool versions 0.2.3 dated 2021-05-24 and 0.3.1 dated 2021-07-20

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New package cartogramR with initial version 1.0-1
Package: cartogramR
Version: 1.0-1
Date: 2021-07-19
Title: Continuous Cartogram
Authors@R: c(person(given = "Pierre-Andre", family = "Cornillon", role = c("aut", "cre"), email = "pierre-andre.cornillon@univ-rennes2.fr"), person(given = "Florent", family = "Demoraes", role = "aut", email="florent.demoraes@univ-rennes2.fr"), person(given = "Flow-Based-Cartograms", role = "cph", email = "michael.gastner@yale-nus.edu.sg", comment = "Author of core C code for gsm and gn procedures"))
Description: Procedures for making continuous cartogram. Procedures available are: flow based cartogram (Gastner & Newman (2004) <doi:10.1073/pnas.0400280101>), fast flow based cartogram (Gastner, Seguy & More (2018) <doi:10.1073/pnas.1712674115>), rubber band based cartogram (Dougenik et al. (1985) <doi:10.1111/j.0033-0124.1985.00075.x>).
Depends: R (>= 3.5.0)
Imports: sf, data.table
Suggests: lwgeom
SystemRequirements: FFTW (>=3.3.1); possible package: fftw-devel (rpm), fftw-dev (deb) or fftw (brew).
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2021-07-19 15:29:24 UTC; pac
Author: Pierre-Andre Cornillon [aut, cre], Florent Demoraes [aut], Flow-Based-Cartograms [cph] (Author of core C code for gsm and gn procedures)
Maintainer: Pierre-Andre Cornillon <pierre-andre.cornillon@univ-rennes2.fr>
Repository: CRAN
Date/Publication: 2021-07-20 08:50:02 UTC

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New package tmplate with initial version 0.0.3
Package: tmplate
Title: Code Generation Based on Templates
Version: 0.0.3
Date: 2021-07-19
Authors@R: c(person(given=c('Mario A.'), family='Martinez Araya', role=c('aut','cre', 'cph'), email='r@marioma.me', comment = c(ORCID = '0000-0002-4821-9314')))
Author: Mario A. Martinez Araya [aut, cre, cph] (<https://orcid.org/0000-0002-4821-9314>)
Maintainer: Mario A. Martinez Araya <r@marioma.me>
Description: Define general templates with tags that can be replaced by content depending on arguments and objects to modify the final output of the document.
License: GPL (>= 2)
Depends: R (>= 2.10), tRnslate
Suggests: knitr, rmarkdown, markdown
URL: <https://marioma.me?i=soft>
BuildVignettes: yes
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-07-19 13:12:52 UTC; mma
Repository: CRAN
Date/Publication: 2021-07-20 07:50:02 UTC

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New package shinyauthr with initial version 1.0.0
Package: shinyauthr
Title: 'Shiny' Authentication Modules
Version: 1.0.0
Authors@R: c(person(given = "Paul", family = "Campbell", email = "pacampbell91@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1018-6606")), person(given = "Michael", family = "Dewar", email = "michael.p.dewar@gmail.com", role = "ctb"))
Description: Add in-app user authentication to 'shiny', allowing you to secure publicly hosted apps and build dynamic user interfaces from user information.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny (>= 1.5.0), shinyjs, dplyr, rlang, sodium, glue
Suggests: DBI, RSQLite, lubridate, shinydashboard, testthat (>= 3.0.0), shinytest, knitr, rmarkdown, covr
URL: https://github.com/paulc91/shinyauthr
BugReports: https://github.com/paulc91/shinyauthr/issues
NeedsCompilation: no
Packaged: 2021-07-19 10:41:29 UTC; paul
Author: Paul Campbell [aut, cre] (<https://orcid.org/0000-0003-1018-6606>), Michael Dewar [ctb]
Maintainer: Paul Campbell <pacampbell91@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-20 07:20:02 UTC

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New package sageR with initial version 0.3.0
Package: sageR
Title: Applied Statistics for Economics and Management with R
Version: 0.3.0
Date: 2021-07-17
Depends: R (>= 3.5.0)
Imports: ggplot2
Suggests: knitr, markdown, prettydoc, rmarkdown, testthat (>= 3.0.0), covr, learnr, spelling, lattice, spatstat.data, Matrix, mgcv, PMCMR, PMCMRplus, devtools, extrafont, DescTools, GGally, VGAM, car, dplyr, tibble, ggiraphExtra, scales, spatstat, vcd
Authors@R: c( person(given = "Frederic", family= "Bertrand", role = c("cre", "aut"), email = "frederic.bertrand@utt.fr", comment = c(ORCID = "0000-0002-0837-8281")), person(given = "Claire", family= "Borsenberger", role = c("ctb"), email = "claire.borsenberger@sfr.fr"), person(given = "Christian", family= "Derquenne", role = c("ctb"), email = "chris.emr@wanadoo.fr"), person(given = "Gilles", family= "Dufrénot", role = c("ctb"), email = "gilles.dufrenot@univ-amu.fr"), person(given = "Fredj", family= "Jawadi", role = c("ctb"), email = "fredj.jawadi@univ-lille.fr"), person(given = "Myriam", family= "Maumy-Bertrand", role = c("aut"), email = "myriam.maumy@utt.fr", comment = c(ORCID = "0000-0002-4615-1512")))
Author: Frederic Bertrand [cre, aut] (<https://orcid.org/0000-0002-0837-8281>), Claire Borsenberger [ctb], Christian Derquenne [ctb], Gilles Dufrénot [ctb], Fredj Jawadi [ctb], Myriam Maumy-Bertrand [aut] (<https://orcid.org/0000-0002-4615-1512>)
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>
Description: Datasets and functions for the book "Statistiques pour l’économie et la gestion", "Théorie et applications en entreprise", F. Bertrand, Ch. Derquenne, G. Dufrénot, F. Jawadi and M. Maumy, C. Borsenberger editor, (2021, ISBN:9782807319448, De Boeck Supérieur, Louvain-la-Neuve). The first chapter of the book is dedicated to an introduction to statistics and their world. The second chapter deals with univariate exploratory statistics and graphics. The third chapter deals with bivariate and multivariate exploratory statistics and graphics. The fourth chapter is dedicated to data exploration with Principal Component Analysis. The fifth chapter is dedicated to data exploration with Correspondance Analysis. The sixth chapter is dedicated to data exploration with Multiple Correspondance Analysis. The seventh chapter is dedicated to data exploration with automatic clustering. The eighth chapter is dedicated to an introduction to probability theory and classical probability distributions. The ninth chapter is dedicated to an estimation theory, one-sample and two-sample tests. The tenth chapter is dedicated to an Gaussian linear model. The eleventh chapter is dedicated to an introduction to time series. The twelfth chapter is dedicated to an introduction to probit and logit models. Various example datasets are shipped with the package as well as some new functions.
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr, rmarkdown
Language: fr-FR
URL: https://fbertran.github.io/homepage/, https://fbertran.github.io/sageR/, https://github.com/fbertran/sageR/
BugReports: https://github.com/fbertran/sageR/issues/
NeedsCompilation: no
Packaged: 2021-07-18 22:14:56 UTC; fbertran
Repository: CRAN
Date/Publication: 2021-07-20 07:20:05 UTC

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Package recometrics updated to version 0.1.3 with previous version 0.1.2 dated 2021-07-15

Title: Evaluation Metrics for Implicit-Feedback Recommender Systems
Description: Calculates evaluation metrics for implicit-feedback recommender systems that are based on low-rank matrix factorization models, given the fitted model matrices and data, thus allowing to compare models from a variety of libraries. Metrics include P@K (precision-at-k, for top-K recommendations), R@K (recall at k), AP@K (average precision at k), NDCG@K (normalized discounted cumulative gain at k), Hit@K (from which the 'Hit Rate' is calculated), RR@K (reciprocal rank at k, from which the 'MRR' or 'mean reciprocal rank' is calculated), ROC-AUC (area under the receiver-operating characteristic curve), and PR-AUC (area under the precision-recall curve). These are calculated on a per-user basis according to the ranking of items induced by the model, using efficient multi-threaded routines. Also provides functions for creating train-test splits for model fitting and evaluation.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between recometrics versions 0.1.2 dated 2021-07-15 and 0.1.3 dated 2021-07-20

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 4 files changed, 21 insertions(+), 7 deletions(-)

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New package neuronorm with initial version 1.0.0
Package: neuronorm
Title: Preprocessing of Structural MRI for Multiple Neurodegenerative Diseases
Version: 1.0.0
Authors@R: c(person(given = "David", family = "Payares", email = "davidpayaresg@gmail.com", role = c("aut", "cre")), person(given = "Jorge", family = "Mateu", email = "mateu@mat.uji.es", role = "ctb"), person(given = "Wiebke",family = "Schick",email = "schickw@uni-muenster.com", role = "ctb"), person(c("Nicholas J."), "Tustison", role = "cph", email = "NA"), person(c("Brian B"), "Avants", role = "cph", email = "NA"), person(c("Philip A."), "Cook", role = "cph", email = "NA"), person(c("Yuanjie"), "Zheng", role = "cph", email = "NA"), person(c("Alexander"), "Egan", role = "cph", email = "NA"), person(c("Paul A."), "Yushkevich", role = "cph", email = "NA"), person(c("James C."), "Gee", role = "cph", email = "NA"), person(c("M."), "Grossman", role = "cph", email = "NA"), person(c("Jean-Philippe"), "Fortin", role = "cph", email = "NA"), person(c("Elizabeth M."), "Sweeney", role = "cph", email = "NA"), person(c("John"), "Muschelli", role = "cph", email = "NA"), person(c("Ciprian M."), "Crainiceanu", role = "cph", email = "NA"), person(c("Russell T."), "Shinohara", role = "cph", email = "NA"), person(c("Yongyue "), "Zhang", role = "cph", email = "NA"), person(c("J. Michae"), "Brady", role = "cph", email = "NA"), person(c("Stephen"), "Smith", role = "cph", email = "NA") )
Maintainer: David Payares <davidpayaresg@gmail.com>
Imports: knitr, oro.nifti, fslr, neurobase, stats
Suggests: rmarkdown, ANTsR, ANTsRCore, ITKR, extrantsr, MNITemplate, RAVEL, neurodata
Depends: R (>= 3.5)
Additional_repositories: https://davidpayares.github.io/drat
Description: Preprocessing pipeline for normalizing and cleaning T1-weighted, T2-weighted and FLAIR MRI images coming from different sources, diseases, patients, scanners and sites.
License: GPL-2
Encoding: UTF-8
SystemRequirements: cmake, FSL
VignetteBuilder: knitr
OS_type: unix
NeedsCompilation: no
Packaged: 2021-07-19 11:10:53 UTC; davidpayares
Author: David Payares [aut, cre], Jorge Mateu [ctb], Wiebke Schick [ctb], Nicholas J. Tustison [cph], Brian B Avants [cph], Philip A. Cook [cph], Yuanjie Zheng [cph], Alexander Egan [cph], Paul A. Yushkevich [cph], James C. Gee [cph], M. Grossman [cph], Jean-Philippe Fortin [cph], Elizabeth M. Sweeney [cph], John Muschelli [cph], Ciprian M. Crainiceanu [cph], Russell T. Shinohara [cph], Yongyue Zhang [cph], J. Michae Brady [cph], Stephen Smith [cph]
Repository: CRAN
Date/Publication: 2021-07-20 07:30:02 UTC

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New package KHQ with initial version 0.1.0
Package: KHQ
Title: Methods for Calculating 'KHQ' Scores and 'KHQ5D' Utility Index Scores
Version: 0.1.0
Authors@R: person(given = "Luiz Augusto", family = "Brusaca", role = c("aut", "cre"), email = "augustobrusaca@gmail.com", comment = c(ORCID = "0000-0001-8201-6433"))
Description: The King's Health Questionnaire (KHQ) is a disease-specific, self-administered questionnaire designed specific to assess the impact of Urinary Incontinence (UI) on Quality of Life. The questionnaire was developed by Kelleher and collaborators (1997) <doi:10.1111/j.1471-0528.1997.tb11006.x>. It is a simple, acceptable and reliable measure to use in the clinical setting and a research tool that is useful in evaluating UI treatment outcomes. The KHQ five dimensions (KHQ5D) is a condition-specific preference-based measure developed by Brazier and collaborators (2008) <doi:10.1177/0272989X07301820>. Although not as popular as the SF6D <doi:10.1016/S0895-4356(98)00103-6> and EQ-5D <https://euroqol.org/>, the KHQ5D measures health-related quality of life (HRQoL) specifically for UI, not general conditions like the others two instruments mentioned. The KHQ5D ca be used in the clinical and economic evaluation of health care. The subject self-rates their health in terms of five dimensions: Role Limitation (RL), Physical Limitations (PL), Social Limitations (SL), Emotions (E), and Sleep (S). Frequently the scores on these five dimensions are converted to a single utility index using country specific value sets, which can be used in the clinical and economic evaluation of health care as well as in population health surveys. This package provides methods to calculate scores for each dimension of the KHQ; converts KHQ item scores to KHQ5D scores; and also calculates the utility index of the KHQ5D.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat
Imports: magrittr, openxlsx, stats
Depends: R (>= 3.5.0)
URL: https://github.com/augustobrusaca/KHQ
BugReports: https://github.com/augustobrusaca/KHQ/issues
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2021-07-16 16:11:20 UTC; augus
Author: Luiz Augusto Brusaca [aut, cre] (<https://orcid.org/0000-0001-8201-6433>)
Maintainer: Luiz Augusto Brusaca <augustobrusaca@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-20 07:20:11 UTC

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New package glmmTMB with initial version 1.1.2
Package: glmmTMB
Title: Generalized Linear Mixed Models using Template Model Builder
Version: 1.1.2
Authors@R: c(person("Arni","Magnusson",role="aut", comment=c(ORCID="0000-0003-2769-6741")), person("Hans","Skaug",role="aut"), person("Anders","Nielsen",role="aut", comment=c(ORCID="0000-0001-9683-9262")), person("Casper","Berg",role="aut", comment=c(ORCID="0000-0002-3812-5269")), person("Kasper","Kristensen",role="aut"), person("Martin","Maechler",role="aut", comment=c(ORCID="0000-0002-8685-9910")), person("Koen","van Bentham",role="aut"), person("Ben","Bolker",role=c("aut","cre"), email="bolker@mcmaster.ca", comment=c(ORCID="0000-0002-2127-0443")), person("Nafis","Sadat",role="ctb", comment=c(ORCID="0000-0001-5715-616X")), person("Daniel","Lüdecke", role="ctb", comment=c(ORCID="0000-0002-8895-3206")), person("Russ","Lenth", role="ctb"), person("Joseph", "O'Brien", role = "ctb", comment = c(ORCID = "0000-0001-9851-5077")), person("Charles J.","Geyer", role="ctb"), person("Maeve","McGillycuddy", role="ctb"), person("Mollie","Brooks",role=c("aut"), comment=c(ORCID="0000-0001-6963-8326")))
Description: Fit linear and generalized linear mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Random effects are assumed to be Gaussian on the scale of the linear predictor and are integrated out using the Laplace approximation. Gradients are calculated using automatic differentiation.
License: AGPL-3
Depends: R (>= 3.2.0)
Imports: methods, TMB (>= 1.7.14), lme4 (>= 1.1-18.9000), Matrix, nlme, numDeriv
LinkingTo: TMB, RcppEigen
Suggests: knitr, rmarkdown, testthat, MASS, lattice, ggplot2 (>= 2.2.1), mlmRev, bbmle (>= 1.0.19), pscl, coda, reshape2, car (>= 3.0.6), emmeans (>= 1.4), estimability, DHARMa, multcomp, MuMIn, effects (>= 4.0-1), dotwhisker, broom, broom.mixed, plyr, png, boot, texreg, xtable, huxtable, mvabund
SystemRequirements: GNU make
VignetteBuilder: knitr
URL: https://github.com/glmmTMB/glmmTMB
LazyData: TRUE
BugReports: https://github.com/glmmTMB/glmmTMB/issues
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2021-07-14 00:43:46 UTC; bolker
Author: Arni Magnusson [aut] (<https://orcid.org/0000-0003-2769-6741>), Hans Skaug [aut], Anders Nielsen [aut] (<https://orcid.org/0000-0001-9683-9262>), Casper Berg [aut] (<https://orcid.org/0000-0002-3812-5269>), Kasper Kristensen [aut], Martin Maechler [aut] (<https://orcid.org/0000-0002-8685-9910>), Koen van Bentham [aut], Ben Bolker [aut, cre] (<https://orcid.org/0000-0002-2127-0443>), Nafis Sadat [ctb] (<https://orcid.org/0000-0001-5715-616X>), Daniel Lüdecke [ctb] (<https://orcid.org/0000-0002-8895-3206>), Russ Lenth [ctb], Joseph O'Brien [ctb] (<https://orcid.org/0000-0001-9851-5077>), Charles J. Geyer [ctb], Maeve McGillycuddy [ctb], Mollie Brooks [aut] (<https://orcid.org/0000-0001-6963-8326>)
Maintainer: Ben Bolker <bolker@mcmaster.ca>
Repository: CRAN
Date/Publication: 2021-07-20 07:30:04 UTC

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Package funtimes updated to version 8.0 with previous version 7.0 dated 2020-11-27

Title: Functions for Time Series Analysis
Description: Includes nonparametric estimators and tests for time series analysis. The functions are to test for presence of possibly non-monotonic trends and for synchronism of trends in multiple time series, using bootstrap techniques and robust nonparametric difference-based estimators.
Author: Vyacheslav Lyubchich [aut, cre] (<https://orcid.org/0000-0001-7936-4285>), Yulia R. Gel [aut], Calvin Chu [ctb], Xin Huang [ctb], Umar Islambekov [ctb], Palina Niamkova [aut], Dorcas Ofori-Boateng [ctb], Ethan D. Schaeffer [ctb], Srishti Vishwakarma [ctb], Xingyu Wang [ctb]
Maintainer: Vyacheslav Lyubchich <lyubchich@umces.edu>

Diff between funtimes versions 7.0 dated 2020-11-27 and 8.0 dated 2021-07-20

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New package ffsimulator with initial version 1.0.0
Package: ffsimulator
Title: Simulate Fantasy Football Seasons
Version: 1.0.0
Authors@R: person(given = "Tan", family = "Ho", role = c("aut", "cre","cph"), email = "tan@tanho.ca", comment = c(ORCID = "0000-0001-8388-5155"))
Description: Uses bootstrap resampling to run fantasy football season simulations supported by historical rankings and 'nflfastR' data, calculating optimal lineups, and returning aggregated results.
License: MIT + file LICENSE
URL: https://ffsimulator.ffverse.com, https://github.com/ffverse/ffsimulator
BugReports: https://github.com/ffverse/ffsimulator/issues
Depends: R (>= 3.5.0)
Imports: checkmate (>= 2.0.0), dplyr (>= 1.0.0), ffscrapr (>= 1.4.3), glue (>= 1.3.0), httr (>= 1.4.0), magrittr (>= 1.0.0), purrr (>= 0.3.0), Rglpk (>= 0.6.0), rlang (>= 0.4.0), stringr (>= 1.4.0), tibble (>= 3.0.0), tidyr (>= 1.0.0)
Suggests: covr (>= 3.0.0), forcats (>= 0.5.0), furrr (>= 0.2.0), future (>= 1.0.0), ggplot2 (>= 3.0.0), ggridges (>= 0.5.0), knitr (>= 1.0), rmarkdown (>= 2.6), scales (>= 1.0.0), testthat (>= 3.0.0), vdiffr (>= 1.0.2)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-07-19 14:15:41 UTC; Tan
Author: Tan Ho [aut, cre, cph] (<https://orcid.org/0000-0001-8388-5155>)
Maintainer: Tan Ho <tan@tanho.ca>
Repository: CRAN
Date/Publication: 2021-07-20 07:50:04 UTC

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New package dcurves with initial version 0.2.0
Package: dcurves
Title: Decision Curve Analysis for Model Evaluation
Version: 0.2.0
Authors@R: person(given = "Daniel D.", family = "Sjoberg", role = c("aut", "cre", "cph"), email = "danield.sjoberg@gmail.com")
Description: Diagnostic and prognostic models are typically evaluated with measures of accuracy that do not address clinical consequences. Decision-analytic techniques allow assessment of clinical outcomes, but often require collection of additional information may be cumbersome to apply to models that yield a continuous result. Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. See the following references for details on the methods: Vickers (2006) <doi:10.1177/0272989X06295361>, Vickers (2008) <doi:10.1186/1472-6947-8-53>, and Pfeiffer (2020) <doi:10.1002/bimj.201800240>.
License: MIT + file LICENSE
URL: https://github.com/ddsjoberg/dcurves, http://www.danieldsjoberg.com/dcurves/
BugReports: https://github.com/ddsjoberg/dcurves/issues
Depends: R (>= 3.5)
Imports: broom (>= 0.7.6), dplyr (>= 1.0.5), ggplot2 (>= 3.3.3), glue (>= 1.4.2), purrr (>= 0.3.4), rlang (>= 0.4.10), scales (>= 1.1.1), survival, tibble (>= 3.1.0)
Suggests: covr (>= 3.5.1), gtsummary (>= 1.4.0), knitr (>= 1.32), rmarkdown (>= 2.7), spelling (>= 2.2), testthat (>= 3.0.2), tidyr (>= 1.1.3)
VignetteBuilder: knitr
ByteCompile: true
Config/testthat/parallel: true
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2021-07-19 12:49:36 UTC; SjobergD
Author: Daniel D. Sjoberg [aut, cre, cph]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-20 07:30:08 UTC

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New package dbMC with initial version 1.0.0
Package: dbMC
Title: Confidence Interval for Matrix Completion via De-Biased Estimator
Version: 1.0.0
Authors@R: person("The Tien", "Mai", email = "t.t.mai@medisin.uio.no", role = c("aut", "cre"))
Description: Implements the de-biased estimator for low-rank matrix completion and provides confidence intervals for entries of interest. See: by Chen et al. (2019) <doi:10.1073/pnas.1910053116>, Mai (2021) <arXiv:2103.11749>.
Imports: softImpute
License: GPL-2
Encoding: UTF-8
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-07-19 11:03:02 UTC; thetm
Author: The Tien Mai [aut, cre]
Maintainer: The Tien Mai <t.t.mai@medisin.uio.no>
Repository: CRAN
Date/Publication: 2021-07-20 07:20:08 UTC

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Package BGVAR updated to version 2.2.4 with previous version 2.2.3 dated 2021-07-17

Title: Bayesian Global Vector Autoregressions
Description: Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available.
Author: Maximilian Boeck [aut, cre] (<https://orcid.org/0000-0001-6024-8305>), Martin Feldkircher [aut] (<https://orcid.org/0000-0002-5511-9215>), Florian Huber [aut] (<https://orcid.org/0000-0002-2896-7921>), Darjus Hosszejni [ctb] (<https://orcid.org/0000-0002-3803-691X>)
Maintainer: Maximilian Boeck <maximilian.boeck@wu.ac.at>

Diff between BGVAR versions 2.2.3 dated 2021-07-17 and 2.2.4 dated 2021-07-20

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Package sdcHierarchies updated to version 0.19.0 with previous version 0.18.3 dated 2020-08-12

Title: Create and (Interactively) Modify Nested Hierarchies
Description: Provides functionality to generate, (interactively) modify (by adding, removing and renaming nodes) and convert nested hierarchies between different formats. These tree like structures can be used to define for example complex hierarchical tables used for statistical disclosure control.
Author: Bernhard Meindl [aut, cre]
Maintainer: Bernhard Meindl <Bernhard.Meindl@statistik.gv.at>

Diff between sdcHierarchies versions 0.18.3 dated 2020-08-12 and 0.19.0 dated 2021-07-20

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Package pkgKitten updated to version 0.2.2 with previous version 0.2.1 dated 2021-02-22

Title: Create Simple Packages Which Do not Upset R Package Checks
Description: Provides a function kitten() which creates cute little packages which pass R package checks. This sets it apart from package.skeleton() which it calls, and which leaves imperfect files behind. As this is not exactly helpful for beginners, kitten() offers an alternative. Unit test support can be added via the 'tinytest' package (if present), and documentation-creation support can be added via 'roxygen2' (if present).
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between pkgKitten versions 0.2.1 dated 2021-02-22 and 0.2.2 dated 2021-07-20

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Package vimp updated to version 2.2.3 with previous version 2.2.2 dated 2021-06-14

Title: Perform Inference on Algorithm-Agnostic Variable Importance
Description: Calculate point estimates of and valid confidence intervals for nonparametric, algorithm-agnostic variable importance measures in high and low dimensions, using flexible estimators of the underlying regression functions. For more information about the methods, please see Williamson et al. (Biometrics, 2020), Williamson et al. (arXiv, 2020+) <arXiv:2004.03683>, and Williamson and Feng (ICML, 2020).
Author: Brian D. Williamson [aut, cre] (<https://orcid.org/0000-0002-7024-548X>), Jean Feng [ctb], Noah Simon [ths] (<https://orcid.org/0000-0002-8985-2474>), Marco Carone [ths] (<https://orcid.org/0000-0003-2106-0953>)
Maintainer: Brian D. Williamson <bwillia2@fredhutch.org>

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Package rscorecard updated to version 0.19.1 with previous version 0.18.0 dated 2021-01-13

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

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Package metapack updated to version 0.1.3 with previous version 0.1.2 dated 2021-04-21

Title: Bayesian Meta-Analysis and Network Meta-Analysis
Description: Contains functions performing Bayesian inference for meta-analytic and network meta-analytic models through Markov chain Monte Carlo algorithm. Currently, the package implements Hui Yao, Sungduk Kim, Ming-Hui Chen, Joseph G. Ibrahim, Arvind K. Shah, and Jianxin Lin (2015) <doi:10.1080/01621459.2015.1006065> and Hao Li, Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin (2021) <doi:10.1002/sim.8983>. For maximal computational efficiency, the Markov chain Monte Carlo samplers for each model, written in C++, are fine-tuned. This software has been developed under the auspices of the National Institutes of Health and Merck & Co., Inc., Kenilworth, NJ, USA.
Author: Daeyoung Lim [aut, cre], Ming-Hui Chen [ctb], Sungduk Kim [ctb], Joseph Ibrahim [ctb], Arvind Shah [ctb], Jianxin Lin [ctb]
Maintainer: Daeyoung Lim <daeyoung.lim@uconn.edu>

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Package LSX updated to version 1.0.0 with previous version 0.9.9 dated 2021-04-19

Title: Model for Semisupervised Text Analysis Based on Word Embeddings
Description: A word embeddings-based semisupervised model for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove). It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.
Author: Kohei Watanabe [aut, cre, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package lax updated to version 1.2.0 with previous version 1.1.0 dated 2019-12-05

Title: Loglikelihood Adjustment for Extreme Value Models
Description: Performs adjusted inferences based on model objects fitted, using maximum likelihood estimation, by the extreme value analysis packages 'eva' <https://cran.r-project.org/package=eva>, 'evd' <https://cran.r-project.org/package=evd>, 'evir' <https://cran.r-project.org/package=evir>, 'extRemes' <https://cran.r-project.org/package=extRemes>, 'fExtremes' <https://cran.r-project.org/package=fExtremes>, 'ismev' <https://cran.r-project.org/package=ismev>, 'mev' <https://cran.r-project.org/package=mev>, 'POT' <https://cran.r-project.org/package=POT> and 'texmex' <https://cran.r-project.org/package=texmex>. Adjusted standard errors and an adjusted loglikelihood are provided, using the 'chandwich' package <https://cran.r-project.org/package=chandwich> and the object-oriented features of the 'sandwich' package <https://cran.r-project.org/package=sandwich>. The adjustment is based on a robust sandwich estimator of the parameter covariance matrix, based on the methodology in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>. This can be used for cluster correlated data when interest lies in the parameters of the marginal distributions, or for performing inferences that are robust to certain types of model misspecification. Univariate extreme value models, including regression models, are supported.
Author: Paul J. Northrop [aut, cre, cph], Camellia Yin [aut, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package bravo updated to version 2.0.0 with previous version 1.0.5 dated 2021-06-23

Title: Bayesian Screening and Variable Selection
Description: Performs Bayesian variable selection with embedded screening for ultra-high dimensional Gaussian linear regression models. The methodology is described in Li, Dutta and Roy (2020) <arXiv:2006.07561>.
Author: Dongjin Li [aut, cre], Somak Dutta [aut], Vivekananda Roy [ctb]
Maintainer: Dongjin Li <dongjl@iastate.edu>

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