Wed, 16 Jun 2021

Package testthat updated to version 3.0.3 with previous version 3.0.2 dated 2021-02-14

Title: Unit Testing for R
Description: Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd], R Core team [ctb] (Implementation of utils::recover())
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between testthat versions 3.0.2 dated 2021-02-14 and 3.0.3 dated 2021-06-16

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Package SignacX updated to version 2.2.1 with previous version 2.2.0 dated 2021-03-01

Title: Cell Type Identification and Discovery from Single Cell Gene Expression Data
Description: An implementation of neural networks trained with flow-sorted gene expression data to classify cellular phenotypes in single cell RNA-sequencing data. See Chamberlain M et al. (2021) <doi:10.1101/2021.02.01.429207> for more details.
Author: Mathew Chamberlain [aut, cre], Virginia Savova [aut], Richa Hanamsagar [aut], Frank Nestle [aut], Emanuele de Rinaldis [aut], Sanofi US [fnd]
Maintainer: Mathew Chamberlain <chamberlainphd@gmail.com>

Diff between SignacX versions 2.2.0 dated 2021-03-01 and 2.2.1 dated 2021-06-16

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Package rmarchingcubes updated to version 0.1.3 with previous version 0.1.2 dated 2021-06-16

Title: Calculate 3D Contour Meshes Using the Marching Cubes Algorithm
Description: A port of the C++ routine for applying the marching cubes algorithm written by Thomas Lewiner et al. (2012) <doi:10.1080/10867651.2003.10487582> into an R package. The package supplies the contour3d() function, which takes a 3-dimensional array of voxel data and calculates the vertices, vertex normals, and faces for a 3d mesh representing the contour(s) at a given level.
Author: S. H. Wilks <sw463@cam.ac.uk> [aut, cre], Thomas Lewiner <lewiner@gmail.com> [aut]
Maintainer: S. H. Wilks <sw463@cam.ac.uk>

Diff between rmarchingcubes versions 0.1.2 dated 2021-06-16 and 0.1.3 dated 2021-06-16

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Package geomander updated to version 1.0.8 with previous version 1.0.7 dated 2021-06-14

Title: Geographic Tools for Studying Gerrymandering
Description: A compilation of tools to complete common tasks for studying gerrymandering. This focuses on the geographic tool side of common problems, such as linking different levels of spatial units or estimating how to break up units. Functions exist for creating redistricting-focused data for the US.
Author: Christopher T. Kenny [aut, cre] (<https://orcid.org/0000-0002-9386-6860>)
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>

Diff between geomander versions 1.0.7 dated 2021-06-14 and 1.0.8 dated 2021-06-16

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Package Cyclops updated to version 3.1.2 with previous version 3.1.1 dated 2021-03-23

Title: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis
Description: This model fitting tool incorporates cyclic coordinate descent and majorization-minimization approaches to fit a variety of regression models found in large-scale observational healthcare data. Implementations focus on computational optimization and fine-scale parallelization to yield efficient inference in massive datasets. Please see: Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.
Author: Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Eric Kawaguchi [aut], Sushil Mittal [ctb], Observational Health Data Sciences and Informatics [cph], Marcus Geelnard [cph, ctb] (provided the TinyThread library), Rutgers University [cph, ctb] (provided the HParSearch routine), R Development Core Team [cph, ctb] (provided the ZeroIn routine)
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

Diff between Cyclops versions 3.1.1 dated 2021-03-23 and 3.1.2 dated 2021-06-16

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Package BuildSys updated to version 1.1.2 with previous version 1.1.1 dated 2021-06-11

Title: System for Building and Debugging C/C++ Dynamic Libraries
Description: A build system based on 'GNU make' that creates and maintains (simply) make files in an R session and provides GUI debugging support through 'Microsoft Visual Code'.
Author: Paavo Jumppanen [aut, cre]
Maintainer: Paavo Jumppanen <paavo.jumppanen@csiro.au>

Diff between BuildSys versions 1.1.1 dated 2021-06-11 and 1.1.2 dated 2021-06-16

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Package reportfactory updated to version 0.3.1 with previous version 0.3.0 dated 2021-04-26

Title: Lightweight Infrastructure for Handling Multiple R Markdown Documents
Description: Provides an infrastructure for handling multiple R Markdown reports, including automated curation and time-stamping of outputs, parameterisation and provision of helper functions to manage dependencies.
Author: Thibaut Jombart [aut], Amy Gimma [ctb], Tim Taylor [aut, cre] (<https://orcid.org/0000-0002-8587-7113>)
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between reportfactory versions 0.3.0 dated 2021-04-26 and 0.3.1 dated 2021-06-16

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Package SignifReg updated to version 4.0 with previous version 3.0 dated 2020-04-17

Title: Consistent Significance Controlled Variable Selection in Generalized Linear Regression
Description: Provides significance controlled variable selection algorithms with different directions (forward, backward, stepwise) based on diverse criteria (AIC, BIC, adjusted r-square, PRESS, or p-value). The algorithm selects a final model with only significant variables defined as those with significant p-values after multiple testing correction such as Bonferroni, False Discovery Rate, etc.
Author: Jongwook Kim, Adriano Zanin Zambom
Maintainer: Jongwook Kim <jongwook226@gmail.com>

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Package wildlifeDI updated to version 0.4.1 with previous version 0.4.0 dated 2021-03-04

Title: Calculate Indices of Dynamic Interaction for Wildlife Tracking Data
Description: Dynamic interaction refers to spatial-temporal associations in the movements of two (or more) animals. This package provides tools for calculating a suite of indices used for quantifying dynamic interaction with wildlife telemetry data. For more information on each of the methods employed see the references within. The package (as of version >= 0.3) also has new tools for automating contact analysis in large tracking datasets. The package draws heavily on the classes and methods developed in the 'adehabitat' packages.
Author: Jed Long [aut, cre] (<https://orcid.org/0000-0002-2815-0399>)
Maintainer: Jed Long <jed.long@uwo.ca>

Diff between wildlifeDI versions 0.4.0 dated 2021-03-04 and 0.4.1 dated 2021-06-16

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Package s2dv updated to version 1.0.0 with previous version 0.1.1 dated 2020-11-16

Title: A Set of Common Tools for Seasonal to Decadal Verification
Description: The advanced version of package 's2dverification'. It is intended for 'seasonal to decadal' (s2d) climate forecast verification, but it can also be used in other kinds of forecasts or general climate analysis. This package is specially designed for the comparison between the experimental and observational datasets. The functionality of the included functions covers from data retrieval, data post-processing, skill scores against observation, to visualization. Compared to 's2dverification', 's2dv' is more compatible with the package 'startR', able to use multiple cores for computation and handle multi-dimensional arrays with a higher flexibility.
Author: BSC-CNS [aut, cph], An-Chi Ho [aut, cre], Nuria Perez-Zanon [aut], Roberto Bilbao [ctb], Carlos Delgado [ctb], Llorenç Lledó [ctb], Andrea Manrique [ctb], Deborah Verfaillie [ctb]
Maintainer: An-Chi Ho <an.ho@bsc.es>

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Package fHMM updated to version 0.3.0 with previous version 0.2.0 dated 2021-03-13

Title: Fitting Hidden Markov Models to Financial Data
Description: Fitting (hierarchical) hidden Markov models to daily share prices provided by <https://finance.yahoo.com/>. See <https://github.com/loelschlaeger/fHMM#readme> for documentation and examples.
Author: Lennart Oelschläger [aut, cre], Timo Adam [aut], Michels Rouven [aut]
Maintainer: Lennart Oelschläger <lennart.oelschlaeger@uni-bielefeld.de>

Diff between fHMM versions 0.2.0 dated 2021-03-13 and 0.3.0 dated 2021-06-16

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Package MAMS updated to version 1.4.2 with previous version 1.4.1 dated 2020-11-20

Title: Designing Multi-Arm Multi-Stage Studies
Description: Designing multi-arm multi-stage studies with (asymptotically) normal endpoints and known variance.
Author: Thomas Jaki <thomas.jaki@pm.me>, Dominic Magirr <d.magirr@gmail.com>, Philip Pallmann <philip.pallmann@gmx.de>
Maintainer: Thomas Jaki <thomas.jaki@pm.me>

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Package logr updated to version 1.2.4 with previous version 1.2.3 dated 2021-05-15

Title: Creates Log Files
Description: Contains functions to help create log files. The package aims to overcome the difficulty of the base R sink() command. The log_print() function will print to both the console and the file log, without interfering in other write operations.
Author: David Bosak [aut, cre]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package fhircrackr updated to version 1.0.0 with previous version 0.2.1 dated 2020-11-24

Title: Handling HL7 FHIR Resources in R
Description: Useful tools for conveniently downloading FHIR resources in xml format and converting them to R data frames. The package uses FHIR-search to download bundles from a FHIR server, provides functions to save and read xml-files containing such bundles and allows flattening the bundles to data.frames using XPath expressions.
Author: Thomas Peschel [aut, cre], Julia Palm [aut] (<https://orcid.org/0000-0003-1568-5893>), Jens Przybilla [aut], Frank Meineke [aut] (<https://orcid.org/0000-0002-9256-7543>)
Maintainer: Thomas Peschel <tpeschel@imise.uni-leipzig.de>

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Package httpproblems updated to version 1.0.1 with previous version 1.0.0 dated 2021-02-12

Title: Report Errors in Web Applications with 'Problem Details' (RFC 7807)
Description: Tools for emitting the 'Problem Details' structure defined in 'RFC' 7807 <https://tools.ietf.org/html/rfc7807> for reporting errors from 'HTTP' servers in a standard way.
Author: Aaron Jacobs [aut, cre]
Maintainer: Aaron Jacobs <atheriel@gmail.com>

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Package poolr updated to version 1.0-0 with previous version 0.8-2 dated 2020-02-21

Title: Methods for Pooling P-Values from (Dependent) Tests
Description: Functions for pooling/combining the results (i.e., p-values) from (dependent) hypothesis tests. Included are Fisher's method, Stouffer's method, the inverse chi-square method, the Bonferroni method, Tippett's method, and the binomial test. Each method can be adjusted based on an estimate of the effective number of tests or using empirically derived null distribution using pseudo replicates. For Fisher's, Stouffer's, and the inverse chi-square method, direct generalizations based on multivariate theory are also available (leading to Brown's method, Strube's method, and the generalized inverse chi-square method).
Author: Ozan Cinar [aut, cre] (<https://orcid.org/0000-0003-0329-1977>), Wolfgang Viechtbauer [aut] (<https://orcid.org/0000-0003-3463-4063>)
Maintainer: Ozan Cinar <ozancinar86@gmail.com>

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Permanent link

Package gpbStat updated to version 0.3.2 with previous version 0.3.1 dated 2021-05-13

Title: Comprehensive Statistical Analysis of Plant Breeding Experiments
Description: Performs statistical data analysis of various Plant Breeding experiments. Contains functions for Line by Tester analysis as per Arunachalam, V.(1974) <http://repository.ias.ac.in/89299/>.
Author: Nandan Patil [cre, aut] (<https://orcid.org/0000-0003-0100-9931>), Lakshmi R. Gangavati [aut, ctb]
Maintainer: Nandan Patil <tryanother609@gmail.com>

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Package fcaR updated to version 1.1.0 with previous version 1.0.7 dated 2020-12-02

Title: Formal Concept Analysis
Description: Provides tools to perform fuzzy formal concept analysis, presented in Wille (1982) <doi:10.1007/978-3-642-01815-2_23> and in Ganter and Obiedkov (2016) <doi:10.1007/978-3-662-49291-8>. It provides functions to load and save a formal context, extract its concept lattice and implications. In addition, one can use the implications to compute semantic closures of fuzzy sets and, thus, build recommendation systems.
Author: Domingo Lopez Rodriguez [aut, cre] (<https://orcid.org/0000-0002-0172-1585>), Angel Mora [aut], Jesus Dominguez [aut], Ana Villalon [aut], Ian Johnson [ctb]
Maintainer: Domingo Lopez Rodriguez <dominlopez@uma.es>

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Package shinymanager updated to version 1.0.400 with previous version 1.0.300 dated 2020-08-24

Title: Authentication Management for 'Shiny' Applications
Description: Simple and secure authentification mechanism for single 'Shiny' applications. Credentials are stored in an encrypted 'SQLite' database. Source code of main application is protected until authentication is successful.
Author: Benoit Thieurmel [aut, cre], Victor Perrier [aut]
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>

Diff between shinymanager versions 1.0.300 dated 2020-08-24 and 1.0.400 dated 2021-06-16

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New package shinytitle with initial version 0.1.0
Package: shinytitle
Title: Update Browser Window Title in 'shiny' Session
Version: 0.1.0
Authors@R: person("Ashley", "Baldry", email = "arbaldry91@gmail.com", role = c("aut", "cre"))
Description: Enables the ability to change or flash the title of the browser window during a 'shiny' session.
URL: https://github.com/ashbaldry/shinytitle, https://ashbaldry.github.io/shinytitle/
BugReports: https://github.com/ashbaldry/shinytitle/issues
Imports: shiny
Suggests: testthat (>= 3.0.0)
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-06-15 17:58:52 UTC; arbal
Author: Ashley Baldry [aut, cre]
Maintainer: Ashley Baldry <arbaldry91@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-16 10:40:02 UTC

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Package regions updated to version 0.1.7 with previous version 0.1.5 dated 2020-06-23

Title: Processing Regional Statistics
Description: Validating sub-national statistical typologies, re-coding across standard typologies of sub-national statistics, and making valid aggregate level imputation, re-aggregation, re-weighting and projection down to lower hierarchical levels to create meaningful data panels and time series.
Author: Daniel Antal [aut, cre] (<https://orcid.org/0000-0001-7513-6760>), Kasia Kulma [ctb] (<https://orcid.org/0000-0002-2952-9720>), Istvan Zsoldos [ctb] (<https://orcid.org/0000-0001-5712-2103>), Leo Lahti [ctb] (<https://orcid.org/0000-0001-5537-637X>)
Maintainer: Daniel Antal <daniel.antal@ceemid.eu>

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Package islasso updated to version 1.3.1 with previous version 1.3.0 dated 2021-05-24

Title: The Induced Smoothed Lasso
Description: An implementation of the induced smoothing (IS) idea to lasso regularization models to allow estimation and inference on the model coefficients (currently hypothesis testing only). Linear, logistic, Poisson and gamma regressions with several link functions are implemented. The algorithm is described in the original paper: Cilluffo, G., Sottile, G., La Grutta, S. and Muggeo, V. (2019) The Induced Smoothed lasso: A practical framework for hypothesis testing in high dimensional regression. <doi:10.1177/0962280219842890>, and discussed in a tutorial: Sottile, G., Cilluffo, G., and Muggeo, V. (2019) The R package islasso: estimation and hypothesis testing in lasso regression. <doi:10.13140/RG.2.2.16360.11521>.
Author: Gianluca Sottile [aut, cre], Giovanna Cilluffo [aut, ctb], Vito MR Muggeo [aut, cre]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>

Diff between islasso versions 1.3.0 dated 2021-05-24 and 1.3.1 dated 2021-06-16

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 MD5                    |   18 +++++++++---------
 NEWS                   |    5 +++++
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 inst/doc/islasso.pdf   |binary
 man/islasso-package.Rd |    2 +-
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New package declared with initial version 0.5
Package: declared
Version: 0.5
Date: 2021-06-04
Title: Functions to Declare Missing Values
Authors@R: person(given = "Adrian", family = "Dusa", role = c("aut", "cre", "cph"), email = "dusa.adrian@unibuc.ro", comment = c(ORCID = "0000-0002-3525-9253"))
Depends: R (>= 3.5.0)
Imports: admisc
License: GPL (>= 3)
URL: https://github.com/dusadrian/declared
BugReports: https://github.com/dusadrian/declared/issues
Description: A set of functions that offer an alternative to package 'haven', to deal with labelled objects with existing values declared as missing.
NeedsCompilation: no
Packaged: 2021-06-15 14:49:34 UTC; dusadrian
Author: Adrian Dusa [aut, cre, cph] (<https://orcid.org/0000-0002-3525-9253>)
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>
Repository: CRAN
Date/Publication: 2021-06-16 10:30:05 UTC

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New package rmarchingcubes with initial version 0.1.2
Package: rmarchingcubes
Title: Calculate 3D Contour Meshes Using the Marching Cubes Algorithm
Version: 0.1.2
Date: 2021-06-14
Author: S. H. Wilks <sw463@cam.ac.uk> [aut, cre], Thomas Lewiner <lewiner@gmail.com> [aut]
Maintainer: S. H. Wilks <sw463@cam.ac.uk>
Description: A port of the C++ routine for applying the marching cubes algorithm written by Thomas Lewiner et al. (2012) <doi:10.1080/10867651.2003.10487582> into an R package. The package supplies the contour3d() function, which takes a 3-dimensional array of voxel data and calculates the vertices, vertex normals, and faces for a 3d mesh representing the contour(s) at a given level.
URL: https://github.com/shwilks/rmarchingcubes
BugReports: https://github.com/shwilks/rmarchingcubes/issues
Language: en-US
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.5)
LinkingTo: Rcpp, RcppArmadillo
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-06-15 15:52:13 UTC; samwilks
Repository: CRAN
Date/Publication: 2021-06-16 09:50:02 UTC

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New package mark with initial version 0.1.3
Package: mark
Title: Miscellaneous, Analytic R Kernels
Version: 0.1.3
Date: 2021-06-08
Authors@R: person(given = "Jordan Mark", family = "Barbone", role = c("aut", "cph", "cre"), email = "jmbarbone@gmail.com", comment = c(orcid = "0000-0001-9788-3628"))
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>
Description: Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.
License: MIT + file LICENSE
URL: https://github.com/jmbarbone/mark
BugReports: https://github.com/jmbarbone/mark/issues
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: magrittr (>= 2.0.1), methods (>= 3.6), stats (>= 3.6), tibble (>= 3.0.4), tools (>= 3.6), utils (>= 3.6)
Suggests: bench (>= 1.1.1), bib2df (>= 1.1.1), crayon (>= 1.3.4), dplyr (>= 1.0.6), graphics (>= 4.0.3), knitr (>= 1.30), rcmdcheck (>= 1.3.3), stringi (>= 1.5.3), spelling (>= 2.2), testthat (>= 3.0.0), withr (>= 2.3.0)
Config/testthat/parallel: true
Language: en-US
NeedsCompilation: no
Packaged: 2021-06-15 13:08:59 UTC; jmbar
Author: Jordan Mark Barbone [aut, cph, cre] (0000-0001-9788-3628)
Repository: CRAN
Date/Publication: 2021-06-16 09:20:02 UTC

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New package AutoScore with initial version 0.2.0
Package: AutoScore
Title: An Interpretable Machine Learning-Based Automatic Clinical Score Generator
Version: 0.2.0
Date: 2021-06-10
Authors@R: c(person("Feng", "Xie", role = c("aut","cre"), comment = c(ORCID = "0000-0002-0215-667X"), email= "xief@u.duke.nus.edu"), person("Yilin", "Ning", role = c("aut"), comment = c(ORCID = "0000-0002-6758-4472"), email= "yilin.ning@duke-nus.edu.sg"), person("Han", "Yuan", role = c("aut"), comment = c(ORCID = "0000-0002-2674-6068"), email= "yuan.han@u.duke.nus.edu"), person("Ehsan", "Saffari", role = c("aut"), comment = c(ORCID = "0000-0002-6473-4375"), email = "ehsan.saffari@duke-nus.edu.sg"), person("Bibhas", "Chakraborty", role = c("aut"), comment = c(ORCID = "0000-0002-7366-0478"), email = "bibhas.chakraborty@duke-nus.edu.sg"), person("Nan", "Liu", role = c("aut"), comment = c(ORCID = "0000-0003-3610-4883"), email = "liu.nan@duke-nus.edu.sg"))
URL: https://github.com/nliulab/AutoScore
BugReports: https://github.com/nliulab/AutoScore/issues
Description: A novel interpretable machine learning-based framework to automate the development of a clinical scoring model for predefined outcomes. Our novel framework consists of six modules: variable ranking with machine learning, variable transformation, score derivation, model selection, domain knowledge-based score fine-tuning, and performance evaluation.The details are described in our research paper<doi:10.2196/21798>. Users or clinicians could seamlessly generate parsimonious sparse-score risk models (i.e., risk scores), which can be easily implemented and validated in clinical practice. We hope to see its application in various medical case studies.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: tableone, pROC, randomForest, ggplot2, knitr
Depends: R (>= 2.10)
VignetteBuilder: knitr
Suggests: rmarkdown
NeedsCompilation: no
Packaged: 2021-06-15 14:04:34 UTC; XFE
Author: Feng Xie [aut, cre] (<https://orcid.org/0000-0002-0215-667X>), Yilin Ning [aut] (<https://orcid.org/0000-0002-6758-4472>), Han Yuan [aut] (<https://orcid.org/0000-0002-2674-6068>), Ehsan Saffari [aut] (<https://orcid.org/0000-0002-6473-4375>), Bibhas Chakraborty [aut] (<https://orcid.org/0000-0002-7366-0478>), Nan Liu [aut] (<https://orcid.org/0000-0003-3610-4883>)
Maintainer: Feng Xie <xief@u.duke.nus.edu>
Repository: CRAN
Date/Publication: 2021-06-16 09:50:04 UTC

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New package Tratamentos.ad with initial version 0.1.0
Package: Tratamentos.ad
Title: "Pacote Para Analise De Experimentos Com Testemunhas Adicionais""
Version: 0.1.0
Authors@R: person(given = "Alcinei Mistico", family = "Azevedo", role = c("aut", "cre"), email = "alcineimistico@hotmail.com", comment = c(ORCID="0000-0001-5196-0851"))
Description: Pacote para a analise de experimentos com um ou dois fatores com testemunhas adicionais conduzidos no delineamento inteiramente casualizado ou em blocos casualizados. "Package for the analysis of one or two-factor experiments with additional controls conducted in a completely randomized design or in a randomized block design".
License: GPL-3
Encoding: UTF-8
LazyData: false
Language: pt-BR
NeedsCompilation: no
Packaged: 2021-06-15 11:43:53 UTC; Alcinei
Author: Alcinei Mistico Azevedo [aut, cre] (<https://orcid.org/0000-0001-5196-0851>)
Maintainer: Alcinei Mistico Azevedo <alcineimistico@hotmail.com>
Repository: CRAN
Date/Publication: 2021-06-16 08:10:06 UTC

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Package tmap updated to version 3.3-2 with previous version 3.3-1 dated 2021-03-15

Title: Thematic Maps
Description: Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
Author: Martijn Tennekes [aut, cre], Jakub Nowosad [ctb], Joel Gombin [ctb], Sebastian Jeworutzki [ctb], Kent Russell [ctb], Richard Zijdeman [ctb], John Clouse [ctb], Robin Lovelace [ctb], Jannes Muenchow [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap versions 3.3-1 dated 2021-03-15 and 3.3-2 dated 2021-06-16

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New package InDisc with initial version 1.1.0
Package: InDisc
Title: Obtaining and Estimating Unidimensional and Multidimensional IRT Dual Models
Version: 1.1.0
Date: 2021-06-15
Authors@R: c(person("David", "Navarro-Gonzalez", email = "david.navarro@urv.cat", role = c("cre", "aut")), person("Pere Joan", "Ferrando", email = "perejoan.ferrando@urv.cat", role = "aut"))
Description: Performs a unified approach for obtaining and estimating unidimensional and multidimensional Item Response Theory (IRT) Dual Models (DMs), proposed by Ferrando (2019 <doi:10.1177/0146621618817779>).
Depends: R (>= 3.5.0)
Imports: psych, utils, matrixStats
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
Packaged: 2021-06-15 10:53:46 UTC; David
Author: David Navarro-Gonzalez [cre, aut], Pere Joan Ferrando [aut]
Maintainer: David Navarro-Gonzalez <david.navarro@urv.cat>
Repository: CRAN
Date/Publication: 2021-06-16 08:10:09 UTC

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Package gesso updated to version 1.0.1 with previous version 1.0.0 dated 2021-06-07

Title: Hierarchical GxE Interactions in a Regularized Regression Model
Description: The method focuses on a single environmental exposure and induces a main-effect-before-interaction hierarchical structure for the joint selection of interaction terms in a regularized regression model. For details see Zemlianskaia et al. (2021) <arxiv:2103.13510>.
Author: Natalia Zemlianskaia
Maintainer: Natalia Zemlianskaia <natasha.zemlianskaia@gmail.com>

Diff between gesso versions 1.0.0 dated 2021-06-07 and 1.0.1 dated 2021-06-16

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New package aldvmm with initial version 0.8.3
Package: aldvmm
Title: Adjusted Limited Dependent Variable Mixture Models
Version: 0.8.3
Authors@R: person("Mark", "Pletscher", email = "pletscher.mark@gmail.com", role = c("aut", "cre", "cph"))
Date: 2021-06-14
Depends: R (>= 3.5.0)
Description: The goal of the package 'aldvmm' is to fit adjusted limited dependent variable mixture models of health state utilities. Adjusted limited dependent variable mixture models are finite mixtures of normal distributions with an accumulation of density mass at the limits, and a gap between 100% quality of life and the next smaller utility value. The package 'aldvmm' uses the likelihood and expected value functions proposed by Hernandez Alava and Wailoo (2015) <doi:10.1177/1536867X1501500307> using normal component distributions and a multinomial logit model of probabilities of component membership.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: numDeriv, stats, checkmate, optimr
URL: https://github.com/pletschm/aldvmm/
BugReports: https://github.com/pletschm/aldvmm/issues
Suggests: knitr, markdown, tinytex, testthat (>= 3.0.0), covr, rmarkdown, bookdown, xtable, ggplot2, scales, reshape2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-15 10:35:00 UTC; phm1
Author: Mark Pletscher [aut, cre, cph]
Maintainer: Mark Pletscher <pletscher.mark@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-16 08:10:02 UTC

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New package netplot with initial version 0.1-1
Package: netplot
Title: Beautiful Graph Drawing
Version: 0.1-1
Authors@R: person("George", "Vega Yon", email = "g.vegayon@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3171-0844") )
Description: A graph visualization engine that puts an emphasis on aesthetics at the same time of providing default parameters that yield out-of-the-box-nice visualizations. The package is built on top of 'The Grid Graphics Package' and seamlessly work with 'igraph' and 'network' objects.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, grDevices, igraph, network, sna, stats
Suggests: knitr, rmarkdown, markdown, igraphdata, intergraph, ggraph, gridGraphics, ggplot2, gridExtra, gridBase, magrittr
VignetteBuilder: knitr
URL: https://github.com/USCCANA/netplot
BugReports: https://github.com/USCCANA/netplot/issues
NeedsCompilation: no
Packaged: 2021-06-15 04:52:34 UTC; george
Author: George Vega Yon [aut, cre] (<https://orcid.org/0000-0002-3171-0844>)
Maintainer: George Vega Yon <g.vegayon@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-16 07:10:02 UTC

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New package hhsmm with initial version 0.1.2
Package: hhsmm
Date: 2021-05-18
Title: Hidden Hybrid Markov/Semi-Markov Model Fitting
Version: 0.1.2
Authors@R: c(person("Morteza", "Amini", role = c("aut", "cre","cph"), email = "morteza.amini@ut.ac.ir"), person("Afarin", "Bayat", role = "aut"))
Description: Develops algorithms for fitting, prediction, simulation and initialization of the hidden hybrid Markov/semi-Markov model, introduced by Guedon (2005) <doi:10.1016/j.csda.2004.05.033>.
License: GPL-3
Imports: Rcpp, Rdpack
RdMacros: Rdpack
Depends: R (>= 4.0.0), mvtnorm
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2021-06-15 03:25:58 UTC; Amini
Author: Morteza Amini [aut, cre, cph], Afarin Bayat [aut]
Maintainer: Morteza Amini <morteza.amini@ut.ac.ir>
Repository: CRAN
Date/Publication: 2021-06-16 07:10:05 UTC

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New package EFA.MRFA with initial version 1.1.2
Package: EFA.MRFA
Title: Dimensionality Assessment Using Minimum Rank Factor Analysis
Version: 1.1.2
Date: 2021-06-15
Author: David Navarro-Gonzalez, Urbano Lorenzo-Seva
Maintainer: David Navarro-Gonzalez <david.navarro@urv.cat>
Description: Performs parallel analysis (Timmerman & Lorenzo-Seva, 2011 <doi:10.1037/a0023353>) and hull method (Lorenzo-Seva, Timmerman, & Kiers, 2011 <doi:10.1080/00273171.2011.564527>) for assessing the dimensionality of a set of variables using minimum rank factor analysis (see ten Berge & Kiers, 1991 <doi:10.1007/BF02294464> for more information). The package also includes the option to compute minimum rank factor analysis by itself, as well as the greater lower bound calculation.
Depends: R (>= 2.10)
Imports: stats, psych, scales, PCovR, ggplot2, reshape2
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
Packaged: 2021-06-15 10:09:23 UTC; David
Repository: CRAN
Date/Publication: 2021-06-16 08:00:02 UTC

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Package networkDynamic updated to version 0.11.0 with previous version 0.10.1 dated 2020-01-21

Title: Dynamic Extensions for Network Objects
Description: Simple interface routines to facilitate the handling of network objects with complex intertemporal data. This is a part of the "statnet" suite of packages for network analysis.
Author: Carter T. Butts [aut], Ayn Leslie-Cook [aut], Pavel N. Krivitsky [aut], Skye Bender-deMoll [aut, cre], Zack Almquist [ctb], David R. Hunter [ctb], Li Wang [ctb], Kirk Li [ctb], Steven M. Goodreau [ctb], Jeffrey Horner [ctb], Martina Morris [ctb]
Maintainer: Skye Bender-deMoll <skyebend@uw.edu>

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Package vannstats updated to version 1.0.7.15 with previous version 1.0.4.15 dated 2021-04-16

Title: Simplified Statistics for PA 606
Description: Simplifies functions assess normality for bivariate and multivariate statistical techniques, including hst(), box(), and qq(). Plots designed to replicate those that would result from similar calls in 'SPSS'. Also includes simplified formulae, such as mode(), scatter(), and ow.anova().
Author: Burrel Vann Jr [aut, cre]
Maintainer: Burrel Vann Jr <bvannjr@sdsu.edu>

Diff between vannstats versions 1.0.4.15 dated 2021-04-16 and 1.0.7.15 dated 2021-06-16

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New package unival with initial version 1.1.0
Package: unival
Title: Assessing Essential Unidimensionality Using External Validity Information
Version: 1.1.0
Date: 2021-06-15
Author: Pere Joan Ferrando, David Navarro-Gonzalez, Urbano Lorenzo-Seva
Maintainer: David Navarro-Gonzalez <david.navarro@urv.cat>
Description: Assess essential unidimensionality using external validity information using the procedure proposed by Ferrando & Lorenzo-Seva (2019) <doi:10.1177/0013164418824755>. Provides two indices for assessing differential and incremental validity, both based on a second-order modelling schema for the general factor.
Depends: R (>= 2.10)
Imports: stats, psych
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
Packaged: 2021-06-15 11:17:07 UTC; David
Repository: CRAN
Date/Publication: 2021-06-16 04:10:02 UTC

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Package reactablefmtr updated to version 1.0.0 with previous version 0.2.0 dated 2021-03-18

Title: Easily Customize Interactive Tables Made with Reactable
Description: Enhance the styling of interactive reactable tables with easy-to-use and highly-customizable functions. Apply conditional formatting to cells with data bars, color scales, and icon sets. Utilize custom table themes inspired by popular websites and bootstrap themes. Increase the portability and reproducibility of reactable tables by embedding images from the web directly into cells. Save the final table output as a static image or interactive file (note this feature requires the 'webshot2' package which can be downloaded from <https://github.com/rstudio/webshot2>).
Author: Kyle Cuilla [aut, cre, cph], Greg Lin [ctb], June Choe [ctb]
Maintainer: Kyle Cuilla <kyle.cuilla@gmail.com>

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Package openxlsx updated to version 4.2.4 with previous version 4.2.3 dated 2020-10-27

Title: Read, Write and Edit xlsx Files
Description: Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, styling and editing worksheets. Through the use of 'Rcpp', read/write times are comparable to the 'xlsx' and 'XLConnect' packages with the added benefit of removing the dependency on Java.
Author: Philipp Schauberger [aut, cre], Alexander Walker [aut], Luca Braglia [ctb], Joshua Sturm [ctb], Jan Marvin Garbuszus [ctb], Jordan Mark Barbone [ctb] (<https://orcid.org/0000-0001-9788-3628>)
Maintainer: Philipp Schauberger <philipp@schauberger.co.at>

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Package NonCompart updated to version 0.4.8 with previous version 0.4.7 dated 2020-05-07

Title: Noncompartmental Analysis for Pharmacokinetic Data
Description: Conduct a noncompartmental analysis with industrial strength. Some features are 1) Use of CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between NonCompart versions 0.4.7 dated 2020-05-07 and 0.4.8 dated 2021-06-16

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Package ggplot2 updated to version 3.3.4 with previous version 3.3.3 dated 2020-12-30

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Winston Chang [aut] (<https://orcid.org/0000-0002-1576-2126>), Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] (<https://orcid.org/0000-0002-5147-4711>), Kohske Takahashi [aut], Claus Wilke [aut] (<https://orcid.org/0000-0002-7470-9261>), Kara Woo [aut] (<https://orcid.org/0000-0002-5125-4188>), Hiroaki Yutani [aut] (<https://orcid.org/0000-0002-3385-7233>), Dewey Dunnington [aut] (<https://orcid.org/0000-0002-9415-4582>), RStudio [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

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Package frailtypack updated to version 3.4.0 with previous version 3.3.2 dated 2020-10-14

Title: Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Nested frailty models in the context of the joint modelling for recurrent events with terminal event, for hierarchically clustered data (with two levels of clustering) by including two iid gamma random effects. 7) Multivariate joint frailty models for two types of recurrent events and a terminal event. 8) Joint models for longitudinal data and a terminal event. 9) Trivariate joint models for longitudinal data, recurrent events and a terminal event. 10) Joint frailty models for the validation of surrogate endpoints in multiple randomized clinical trials with failure-time endpoints 11) Conditional and Marginal two-part joint models for longitudinal semicontinuous data and a terminal event. 12) Joint frailty-copula models for the validation of surrogate endpoints in multiple randomized clinical trials with failure-time endpoints. 13) Generalized shared and joint frailty models for recurrent and terminal events. Proportional hazards (PH), additive hazard (AH), proportional odds (PO) and probit models are available in a fully parametric framework. For PH and AH models, it is possible to consider type-varying coefficients and flexible semiparametric hazard function. Prediction values are available (for a terminal event or for a new recurrent event). Left-truncated (not for Joint model), right-censored data, interval-censored data (only for Cox proportional hazard and shared frailty model) and strata are allowed. In each model, the random effects have the gamma or normal distribution. Now, you can also consider time-varying covariates effects in Cox, shared and joint frailty models (1-5). The package includes concordance measures for Cox proportional hazards models and for shared frailty models. Moreover, the package can be used with its shiny application, in a local mode or by following the link below.
Author: Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey Mauguen, Amadou Diakite, Alexandre Laurent, Myriam Lopez, Agnieszka Krol, Casimir L. Sofeu, Julien Dumerc, Denis Rustand, Jocelyn Chauvet
Maintainer: Virginie Rondeau <virginie.rondeau@u-bordeaux.fr>

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Package fairml updated to version 0.5 with previous version 0.4 dated 2021-04-15

Title: Fair Models in Machine Learning
Description: Fair machine learning regression models which take sensitive attributes into account in model estimation. Currently implementing Komiyama et al. (2018) <http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf>, Zafar et al. (2019) <https://www.jmlr.org/papers/volume20/18-262/18-262.pdf> and my own approach that uses ridge regression to enforce fairness.
Author: Marco Scutari [aut, cre]
Maintainer: Marco Scutari <marco.scutari@gmail.com>

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Package extendedFamily updated to version 0.2.1 with previous version 0.2.0 dated 2021-01-20

Title: Additional Families for Generalized Linear Models
Description: Creates family objects identical to stats family but for new links.
Author: Greg McMahan
Maintainer: Greg McMahan <gmcmacran@gmail.com>

Diff between extendedFamily versions 0.2.0 dated 2021-01-20 and 0.2.1 dated 2021-06-16

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