Mon, 20 Dec 2021

Package timevis updated to version 2.0.0 with previous version 1.0.0 dated 2020-09-16

Title: Create Interactive Timeline Visualizations in R
Description: Create rich and fully interactive timeline visualizations. Timelines can be included in Shiny apps and R markdown documents, or viewed from the R console and 'RStudio' Viewer. 'timevis' includes an extensive API to manipulate a timeline after creation, and supports getting data out of the visualization into R. Based on the 'vis.js' Timeline module and the 'htmlwidgets' R package.
Author: Dean Attali [aut, cre] (R interface, <https://orcid.org/0000-0002-5645-3493>), Almende B.V. [aut, cph] (vis.js library, https://visjs.org)
Maintainer: Dean Attali <daattali@gmail.com>

Diff between timevis versions 1.0.0 dated 2020-09-16 and 2.0.0 dated 2021-12-20

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Package PracTools updated to version 1.2.4 with previous version 1.2.3 dated 2021-11-03

Title: Tools for Designing and Weighting Survey Samples
Description: Functions and datasets to support Valliant, Dever, and Kreuter, Practical Tools for Designing and Weighting Survey Samples (2nd edition, 2018). Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.
Author: Richard Valliant [aut,cre], Jill A. Dever [aut], Frauke Kreuter [aut]
Maintainer: Richard Valliant <valliant@umich.edu>

Diff between PracTools versions 1.2.3 dated 2021-11-03 and 1.2.4 dated 2021-12-20

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Package consort updated to version 1.0.1 with previous version 1.0.0 dated 2021-11-04

Title: Create Consort Diagram
Description: To make it easy to create CONSORT diagrams for the transparent reporting of participant allocation in randomized, controlled clinical trials. This is done by creating a standardized disposition data, and using this data as the source for the creation a standard CONSORT diagram. Human effort by supplying text labels on the node can also be achieved.
Author: Alim Dayim [aut, cre] (<https://orcid.org/0000-0001-9998-7463>)
Maintainer: Alim Dayim <ad938@cam.ac.uk>

Diff between consort versions 1.0.0 dated 2021-11-04 and 1.0.1 dated 2021-12-20

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Package wrangle updated to version 0.5.5 with previous version 0.5.2 dated 2019-04-25

Title: A Systematic Data Wrangling Idiom
Description: Supports systematic scrutiny, modification, and integration of data. The function status() counts rows that have missing values in grouping columns (returned by na() ), have non-unique combinations of grouping columns (returned by dup() ), and that are not locally sorted (returned by unsorted() ). Functions enumerate() and itemize() give sorted unique combinations of columns, with or without occurrence counts, respectively. Function ignore() drops columns in x that are present in y, and informative() drops columns in x that are entirely NA; constant() returns values that are constant, given a key. Data that have defined unique combinations of grouping values behave more predictably during merge operations.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between wrangle versions 0.5.2 dated 2019-04-25 and 0.5.5 dated 2021-12-20

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Package shinyscreenshot updated to version 0.2.0 with previous version 0.1.0 dated 2020-10-30

Title: Capture Screenshots of Entire Pages or Parts of Pages in 'Shiny'
Description: Capture screenshots in 'Shiny' applications. Screenshots can either be of the entire viewable page, or a specific section of the page. The captured image is automatically downloaded as a PNG image, or it can also be saved on the server. Powered by the 'html2canvas' JavaScript library.
Author: Dean Attali [aut, cre] (<https://orcid.org/0000-0002-5645-3493>), Niklas von Hertzen [aut] (html2canvas library), Eli Grey [aut] (FileSaver library)
Maintainer: Dean Attali <daattali@gmail.com>

Diff between shinyscreenshot versions 0.1.0 dated 2020-10-30 and 0.2.0 dated 2021-12-20

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Package shinyalert updated to version 3.0.0 with previous version 2.0.0 dated 2020-09-12

Title: Easily Create Pretty Popup Messages (Modals) in 'Shiny'
Description: Easily create pretty popup messages (modals) in 'Shiny'. A modal can contain text, images, OK/Cancel buttons, an input to get a response from the user, and many more customizable options.
Author: Dean Attali [aut, cre] (<https://orcid.org/0000-0002-5645-3493>, R interface), Tristan Edwards [aut] (sweetalert library), Zhengjia Wang [ctb]
Maintainer: Dean Attali <daattali@gmail.com>

Diff between shinyalert versions 2.0.0 dated 2020-09-12 and 3.0.0 dated 2021-12-20

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Package popsom updated to version 6.0 with previous version 5.2 dated 2021-07-09

Title: An Efficient Implementation of Kohonen's Self-Organizing Maps (SOMs) with Starburst Visualizations
Description: Kohonen's self-organizing maps with a number of distinguishing features: (1) An efficient, single threaded, stochastic training algorithm inspired by ideas from tensor algebra. Provides significant speedups over traditional single-threaded training algorithms. No special accelerator hardware required (see <doi:10.1007/978-3-030-01057-7_60>). (2) Automatic centroid detection and visualization using starbursts. (3) Two models of the data: (a) a self organizing map model, (b) a centroid based clustering model. (4) A number of easily accessible quality metrics for the self organizing map and the centroid based cluster model (see <doi:10.1007/978-3-319-28518-4_4>).
Author: Lutz Hamel [aut, cre], Benjamin Ott [aut], Gregory Breard [aut], Robert Tatoian [aut], Michael Eiger [aut], Vishakh Gopu [aut]
Maintainer: Lutz Hamel <lutzhamel@uri.edu>

Diff between popsom versions 5.2 dated 2021-07-09 and 6.0 dated 2021-12-20

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Package pak updated to version 0.2.1 with previous version 0.2.0 dated 2021-12-01

Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Author: Gábor Csárdi [aut, cre], Jim Hester [aut], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between pak versions 0.2.0 dated 2021-12-01 and 0.2.1 dated 2021-12-20

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Package modEvA updated to version 3.0 with previous version 2.0 dated 2020-01-21

Title: Model Evaluation and Analysis
Description: Analyses species distribution models and evaluates their performance. It includes functions for performing variation partitioning, calculating several measures of model discrimination and calibration, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots.
Author: Barbosa A.M., Brown J.A., Jimenez-Valverde A., Real R.
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

Diff between modEvA versions 2.0 dated 2020-01-21 and 3.0 dated 2021-12-20

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Package fusionchartsR updated to version 0.0.3 with previous version 0.0.2 dated 2021-04-19

Title: Embedding 'FusionCharts Javascript' Library in R
Description: FusionCharts provides awesome and minimalist functions to make beautiful interactive charts <https://www.fusioncharts.com/>.
Author: Alex Yahiaoui Martinez [aut, cre]
Maintainer: Alex Yahiaoui Martinez <yahiaoui-martinez.alex@outlook.com>

Diff between fusionchartsR versions 0.0.2 dated 2021-04-19 and 0.0.3 dated 2021-12-20

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 fusionchartsR-0.0.3/fusionchartsR/DESCRIPTION                                                              |   12 
 fusionchartsR-0.0.3/fusionchartsR/LICENSE                                                                  |    1 
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 fusionchartsR-0.0.3/fusionchartsR/NAMESPACE                                                                |    7 
 fusionchartsR-0.0.3/fusionchartsR/R/available_charts.R                                                     |    6 
 fusionchartsR-0.0.3/fusionchartsR/R/fusionAxis.R                                                           |    2 
 fusionchartsR-0.0.3/fusionchartsR/R/fusionBackground.R                                                     |    2 
 fusionchartsR-0.0.3/fusionchartsR/R/fusionCanvas.R                                                         |    2 
 fusionchartsR-0.0.3/fusionchartsR/R/fusionCaption.R                                                        |   17 
 fusionchartsR-0.0.3/fusionchartsR/R/fusionCustomAxis.R                                                     |    2 
 fusionchartsR-0.0.3/fusionchartsR/R/fusionCustomLegend.R                                                   |    2 
 fusionchartsR-0.0.3/fusionchartsR/R/fusionDiv.R                                                            |    2 
 fusionchartsR-0.0.3/fusionchartsR/R/fusionLegend.R                                                         |    2 
 fusionchartsR-0.0.3/fusionchartsR/R/fusionLogo.R                                                           |    2 
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 fusionchartsR-0.0.3/fusionchartsR/R/fusionSubcaption.R                                                     |    2 
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 fusionchartsR-0.0.3/fusionchartsR/R/fusionTooltip.R                                                        |    2 
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Package VFP updated to version 1.4 with previous version 1.3.1 dated 2021-10-14

Title: Variance Function Program
Description: Variance function estimation for models proposed by W. Sadler in his variance function program ('VFP', <http://www.aacb.asn.au/resources/useful-tools/variance-function-program-v14>). Here, the idea is to fit multiple variance functions to a data set and consequently assess which function reflects the relationship 'Var ~ Mean' best. For 'in-vitro diagnostic' ('IVD') assays modeling this relationship is of great importance when individual test-results are used for defining follow-up treatment of patients.
Author: Andre Schuetzenmeister [cre, aut], Florian Dufey [aut], Andrea Geistanger [ctb]
Maintainer: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>

Diff between VFP versions 1.3.1 dated 2021-10-14 and 1.4 dated 2021-12-20

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Package npde updated to version 3.2 with previous version 3.1 dated 2021-04-07

Title: Normalised Prediction Distribution Errors for Nonlinear Mixed-Effect Models
Description: Provides routines to compute normalised prediction distribution errors, a metric designed to evaluate non-linear mixed effect models such as those used in pharmacokinetics and pharmacodynamics.
Author: Emmanuelle Comets [aut, cre] (<https://orcid.org/0000-0002-9150-9886>), Karl Brendel [ctb], Thi Huyen Tram Nguyen [ctb], Marc Cerou [ctb], Romain Leroux [ctb], France Mentre [ctb]
Maintainer: Emmanuelle Comets <emmanuelle.comets@inserm.fr>

Diff between npde versions 3.1 dated 2021-04-07 and 3.2 dated 2021-12-20

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Package transfR updated to version 0.1.1 with previous version 0.1.0 dated 2021-09-08

Title: Transfer of Hydrograph from Gauged to Ungauged Catchments
Description: A geomorphology-based hydrological modelling for transferring streamflow measurements from gauged to ungauged catchments. Inverse modelling enables to estimate net rainfall from streamflow measurements following Boudhraâ et al. (2018) <doi:10.1080/02626667.2018.1425801>. Resulting net rainfall is then estimated on the ungauged catchments by spatial interpolation in order to finally simulate streamflow following de Lavenne et al. (2016) <doi:10.1002/2016WR018716>.
Author: Alban de Lavenne [aut, cre] (<https://orcid.org/0000-0002-9448-3490>), Christophe Cudennec [ths] (<https://orcid.org/0000-0002-1707-8926>), Tom Loree [ctb], Hervé Squividant [ctb]
Maintainer: Alban de Lavenne <alban.delavenne@inrae.fr>

Diff between transfR versions 0.1.0 dated 2021-09-08 and 0.1.1 dated 2021-12-20

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Package parzer updated to version 0.4.1 with previous version 0.4.0 dated 2021-02-16

Title: Parse Messy Geographic Coordinates
Description: Parse messy geographic coordinates from various character formats to decimal degree numeric values. Parse coordinates into their parts (degree, minutes, seconds); calculate hemisphere from coordinates; pull out individually degrees, minutes, or seconds; add and subtract degrees, minutes, and seconds. C++ code herein originally inspired from code written by Jeffrey D. Bogan, but then completely re-written.
Author: Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Alban Sagouis [aut, cre] (<https://orcid.org/0000-0002-3827-1063>), Alec L. Robitaille [ctb], Maëlle Salmon [ctb] (<https://orcid.org/0000-0002-2815-0399>), Hiroaki Yutani [ctb], Jeffrey Bogan [ctb] (C++ code originally from Jeffrey Bogan, but completely re-written), Julien Brun [rev] (Julien Brun reviewed the package, see https://github.com/ropensci/onboarding/issues/341), Maria Munafó [rev] (Maria Munafó reviewed the package, see https://github.com/ropensci/onboarding/issues/341), rOpenSci [fnd] (https://ropensci.org)
Maintainer: Alban Sagouis <sagouis@pm.me>

Diff between parzer versions 0.4.0 dated 2021-02-16 and 0.4.1 dated 2021-12-20

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New package gremes with initial version 0.1.0
Package: gremes
Title: Estimation of Tail Dependence in Graphical Models
Version: 0.1.0
Author: Stefka Asenova [aut, cre]
Maintainer: Stefka Asenova <stefkakirilova@yahoo.com>
Description: Provides tools for estimation of edge weights on graphical models with respect to trees and block graphs and parameterized by a particular family of max-stable copulas. The edge weights are parameters of tail dependence between adjacent variables and these edge weights determine the joint tail dependence between all variables in the context of a particular parametric model. For methods of moment estimator, composite likelihood estimator please see Asenova et al. (2021) <doi:10.1007/s10687-021-00407-5>. For estimation based on extremal coefficients see Asenova et al. (2021) as well as Einmahl et al. (2016) <doi:10.2139/ssrn.2717531>. For cliquewise estimation please see Engelke and Hitz (2020) <doi:10.1111/rssb.12355>.
License: GPL-2
Encoding: UTF-8
Imports: gRbase (>= 1.8-6.4), gRim (>= 0.2.1), abind (>= 1.4.5), copula (>= 0.999.19), quadprog (>= 1.5.5), mvtnorm (>= 1.0.8), methods, mev (>= 1.13.1)
Depends: R (>= 3.5.0), igraph
Suggests: knitr, rmarkdown, corrplot, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-12-20 11:01:08 UTC; asenova
Repository: CRAN
Date/Publication: 2021-12-20 16:00:08 UTC

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New package filebin with initial version 0.0.5
Package: filebin
Title: Wrapper for the Filebin File Sharing API
Version: 0.0.5
Description: A wrapper for the Filebin API. Filebin implements convenient file sharing on the web.
License: GPL-3
Language: en-GB
Encoding: UTF-8
Imports: dplyr, httr, janitor, logger, purrr, stringi, tibble, tidyr
Suggests: reticulate, spelling, stevedore, testthat (>= 3.0.0), withr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-12-20 09:33:02 UTC; wookie
Author: Andrew B. Collier [aut, cre, cph]
Maintainer: Andrew B. Collier <andrew@fathomdata.dev>
Repository: CRAN
Date/Publication: 2021-12-20 16:00:12 UTC

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Package deepdep updated to version 0.4.1 with previous version 0.4.0 dated 2021-12-17

Title: Visualise and Explore the Deep Dependencies of R Packages
Description: Provides tools for exploration of R package dependencies. The main deepdep() function allows to acquire deep dependencies of any package and plot them in an elegant way. It also adds some popularity measures for the packages e.g. in the form of download count through the 'cranlogs' package. Uses the CRAN metadata database <http://crandb.r-pkg.org> and Bioconductor metadata <http://bioconductor.org>. Other data acquire functions are: get_dependencies(), get_downloads() and get_description(). The deepdep_shiny() function runs shiny application that helps to produce a nice 'deepdep' plot.
Author: Dominik Rafacz [aut, cre] (<https://orcid.org/0000-0003-0925-1909>), Hubert Baniecki [aut], Szymon Maksymiuk [aut], Laura Bakala [aut], Dirk Eddelbuettel [ctb]
Maintainer: Dominik Rafacz <dominikrafacz@gmail.com>

Diff between deepdep versions 0.4.0 dated 2021-12-17 and 0.4.1 dated 2021-12-20

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Package wearables updated to version 0.8.1 with previous version 0.6.2 dated 2021-06-30

Title: Tools to Read and Convert Wearables Data
Description: Package to read Empatica E4 data, perform several transformations, perform signal processing and analyses, including batch analyses.
Author: Peter de Looff [aut, cre], Remko Duursma [aut], Saskia Koldijk [aut], Kees de Schepper [aut], Matthijs Noordzij [ctb], Natasha Jaques [ctb], Sara Taylor [ctb]
Maintainer: Peter de Looff <peterdelooff@gmail.com>

Diff between wearables versions 0.6.2 dated 2021-06-30 and 0.8.1 dated 2021-12-20

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New package NMMIPW with initial version 0.1.0
Package: NMMIPW
Title: Inverse Probability Weighting under Non-Monotone Missing
Version: 0.1.0
Date: 2022-01-01
Maintainer: Andrew Ying <aying9339@gmail.com>
Description: We fit inverse probability weighting estimator and the augmented inverse probability weighting for non-monotone missing at random data.
License: GPL (>= 2)
Depends: R (>= 4.0), lava, nloptr, numDeriv
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-12-19 06:19:54 UTC; andrewying
Author: Andrew Ying [aut, cre], Baoluo Sun [ctb]
Repository: CRAN
Date/Publication: 2021-12-20 15:42:10 UTC

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New package grantham with initial version 0.1.0
Package: grantham
Title: Calculate the 'Grantham' Distance
Version: 0.1.0
Description: A minimal set of routines to calculate the 'Grantham' distance <doi:10.1126/science.185.4154.862>. The 'Grantham' distance attempts to provide a proxy for the evolutionary distance between two amino acids based on three key chemical properties: composition, polarity and molecular volume. In turn, evolutionary distance is used as a proxy for the impact of missense mutations. The higher the distance, the more deleterious the substitution is expected to be.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: tibble, magrittr, vctrs, dplyr, tidyr, rlang
URL: https://maialab.org/grantham/, https://github.com/maialab/grantham
BugReports: https://github.com/maialab/grantham/issues
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2021-12-19 05:23:29 UTC; rmagno
Author: Ramiro Magno [aut, cre] (<https://orcid.org/0000-0001-5226-3441>), Isabel Duarte [aut] (<https://orcid.org/0000-0003-0060-2936>), Ana-Teresa Maia [aut] (<https://orcid.org/0000-0002-0454-9207>), CINTESIS [cph, fnd]
Maintainer: Ramiro Magno <ramiro.magno@gmail.com>
Repository: CRAN
Date/Publication: 2021-12-20 15:40:02 UTC

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Package geneticae updated to version 0.2.0 with previous version 0.1.0 dated 2021-09-16

Title: Statistical Tools for the Analysis of Multi Environment Agronomic Trials
Description: Data from multi environment agronomic trials, which are often carried out by plant breeders, can be analyzed with the tools offered by this package such as the Additive Main effects and Multiplicative Interaction model or 'AMMI' ('Gauch' 1992, ISBN:9780444892409) and the Site Regression model or 'SREG' ('Cornelius' 1996, <doi:10.1201/9780367802226>). Since these methods present a poor performance under the presence of outliers and missing values, this package includes robust versions of the 'AMMI' model ('Rodrigues' 2016, <doi:10.1093/bioinformatics/btv533>), and also imputation techniques specifically developed for this kind of data ('Arciniegas-Alarcón' 2014, <doi:10.2478/bile-2014-0006>).
Author: Julia Angelini [aut, cre] (<https://orcid.org/0000-0002-5815-1771>), Marcos Prunello [aut] (<https://orcid.org/0000-0002-9611-527X>), Gerardo Cervigni [aut]
Maintainer: Julia Angelini <jangelini_93@hotmail.com>

Diff between geneticae versions 0.1.0 dated 2021-09-16 and 0.2.0 dated 2021-12-20

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Package ebmstate updated to version 0.1.3 with previous version 0.1.2 dated 2021-01-05

Title: Empirical Bayes Multi-State Cox Model
Description: Implements an empirical Bayes, multi-state Cox model for survival analysis. Run "?'ebmstate-package'" for details. See also Schall (1991) <doi:10.1093/biomet/78.4.719>.
Author: Rui Costa [aut, cre], Moritz Gerstung [aut], Terry M Therneau [ctb] (author of 'survival', a package from which code parts were copied), Thomas Lumley [ctb] (contributor to 'survival', a package from which code parts were copied), Hein Putter [ctb] (co-author of 'mstate', a package from which code parts were copied), Liesbeth de Wreede [ctb] (co-author of 'mstate', a package from which code parts were copied), Marta Fiocco [ctb] (co-author of 'mstate', a package from which code parts were copied), Ronald Geskus [ctb] (contributor to 'mstate', a package from which code parts were copied)
Maintainer: Rui Costa <rui.costa@ebi.ac.uk>

Diff between ebmstate versions 0.1.2 dated 2021-01-05 and 0.1.3 dated 2021-12-20

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New package ascotraceR with initial version 0.0.1
Package: ascotraceR
Title: Simulate the Spread of Ascochyta Blight in Chickpea
Version: 0.0.1
Description: A spatiotemporal model that simulates the spread of Ascochyta blight in chickpea fields based on location-specific weather conditions. This model is adapted from a model developed by Diggle et al. (2002) <doi:10.1094/PHYTO.2002.92.10.1110> for simulating the spread of anthracnose in a lupin field.
URL: https://github.com/IhsanKhaliq/ascotraceR
BugReports: https://github.com/IhsanKhaliq/ascotraceR/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: data.table (>= 1.13.0), lubridate (>= 1.7.9.2), lutz (>= 0.3.1), circular (>= 0.4-93), purrr, stats, sf, terra
Suggests: ggplot2, knitr, rmarkdown, spelling, testthat (>= 3.0.1)
VignetteBuilder: knitr
Language: en-US
X-schema.org-applicationCategory: Tools
NeedsCompilation: no
Packaged: 2021-12-19 11:54:34 UTC; Tele
Author: Ihsanul Khaliq [aut] (<https://orcid.org/0000-0003-4171-0917>), Paul Melloy [aut, trl, cre] (<https://orcid.org/0000-0003-4253-7167>), Adam H. Sparks [aut, ccp] (<https://orcid.org/0000-0002-0061-8359>), Grains Research and Development Corporation (GRDC) Project USQ1903-003RTX [fnd, cph], University of Southern Queensland [cph], Western Australia Agriculture Authority (WAAA) [cph] (Supported the development of ascotraceR through Adam H. Sparks' time.)
Maintainer: Paul Melloy <p.melloy@uq.edu.au>
Repository: CRAN
Date/Publication: 2021-12-20 15:50:05 UTC

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Package GGEBiplots updated to version 0.1.2 with previous version 0.1.1 dated 2017-07-24

Title: GGE Biplots with 'ggplot2'
Description: Genotype plus genotype-by-environment (GGE) biplots rendered using 'ggplot2'. Provides a command line interface to all of the functionality contained within the archived package 'GGEBiplotGUI'.
Author: Sam Dumble [aut, cre], Elisa Frutos Bernal [ctb], Purificacion Galindo Villardon [ctb]
Maintainer: Sam Dumble <s.dumble@stats4sd.org>

Diff between GGEBiplots versions 0.1.1 dated 2017-07-24 and 0.1.2 dated 2021-12-20

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Package EMpeaksR updated to version 0.2.0 with previous version 0.1.0 dated 2021-04-20

Title: Conducting the Peak Fitting Based on the EM Algorithm
Description: The peak fitting of spectral data is performed by using the frame work of EM algorithm. We adapted the EM algorithm for the peak fitting of spectral data set by considering the weight of the intensity corresponding to the measurement energy steps (Matsumura, T., Nagamura, N., Akaho, S., Nagata, K., & Ando, Y. (2019 and 2021) <doi:10.1080/14686996.2019.1620123> and <doi:10.1080/27660400.2021.1899449>. The package efficiently estimates the parameters of Gaussian mixture model during iterative calculation between E-step and M-step, and the parameters are converged to a local optimal solution. This package can support the investigation of peak shift with two advantages: (1) a large amount of data can be processed at high speed; and (2) stable and automatic calculation can be easily performed.
Author: Tarojiro Matsumura [aut, cre]
Maintainer: Tarojiro Matsumura <matsumura-tarojiro@aist.go.jp>

Diff between EMpeaksR versions 0.1.0 dated 2021-04-20 and 0.2.0 dated 2021-12-20

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Package pkgbuild updated to version 1.3.1 with previous version 1.3.0 dated 2021-12-09

Title: Find Tools Needed to Build R Packages
Description: Provides functions used to build R packages. Locates compilers needed to build R packages on various platforms and ensures the PATH is configured appropriately so R can use them.
Author: Hadley Wickham [aut], Jim Hester [aut], Gábor Csárdi [aut, cre], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between pkgbuild versions 1.3.0 dated 2021-12-09 and 1.3.1 dated 2021-12-20

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Package mispitools updated to version 0.1.3 with previous version 0.1.1 dated 2021-12-10

Title: Missing Person Identification Tools
Description: Open-source software for computing Likelihood ratios thresholds and error rates in DNA kinship testing. Marsico FL. et al (2021) <doi:10.1016/j.fsigen.2021.102519>.
Author: Franco Marsico [aut, cre] (<https://orcid.org/0000-0002-0740-5516>)
Maintainer: Franco Marsico <franco.lmarsico@gmail.com>

Diff between mispitools versions 0.1.1 dated 2021-12-10 and 0.1.3 dated 2021-12-20

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Package LogisticDx updated to version 0.3 with previous version 0.2 dated 2015-07-08

Title: Diagnostic Tests for Logistic Regression Models
Description: Diagnostic tests and plots for GLMs (generalized linear models) with binomial/ binary outcomes, particularly logistic regression.
Author: Chris Dardis
Maintainer: Chris Dardis <christopherdardis@gmail.com>

Diff between LogisticDx versions 0.2 dated 2015-07-08 and 0.3 dated 2021-12-20

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Package ccid updated to version 1.1.0 with previous version 1.0.0 dated 2021-01-07

Title: Cross-Covariance Isolate Detect: a New Change-Point Method for Estimating Dynamic Functional Connectivity
Description: Provides efficient implementation of the Cross-Covariance Isolate Detect (CCID) methodology for the estimation of the number and location of multiple change-points in the second-order (cross-covariance or network) structure of multivariate, possibly high-dimensional time series. The method is motivated by the detection of change points in functional connectivity networks for functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magentoencephalography (MEG) and electrocorticography (ECoG) data. The main routines in the package have been extensively tested on fMRI data. For details on the CCID methodology, please see Anastasiou et al (2022), Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity. Medical Image Analysis, Volume 75.
Author: Andreas Anastasiou [aut, cre], Ivor Cribben [aut], Piotr Fryzlewicz [aut]
Maintainer: Andreas Anastasiou <anastasiou.andreas@ucy.ac.cy>

Diff between ccid versions 1.0.0 dated 2021-01-07 and 1.1.0 dated 2021-12-20

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New package PLSiMCpp with initial version 1.0
Package: PLSiMCpp
Title: Methods for Partial Linear Single Index Model
Version: 1.0
Date: 2021-12-18
Author: Shunyao Wu, Qi Zhang, Zhiruo Li, Hua Liang
Maintainer: Shunyao Wu <wushunyao@qdu.edu.cn>
Description: Estimation, hypothesis tests, and variable selection in partially linear single-index models. Please see H. (2010) at <doi:10.1214/10-AOS835> for more details.
Encoding: UTF-8
LazyData: false
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.11), crayon, methods, stats
LinkingTo: Rcpp,RcppArmadillo
Suggests: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2021-12-19 02:57:07 UTC; hp
Repository: CRAN
Date/Publication: 2021-12-20 10:02:03 UTC

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Package frailtypack updated to version 3.5.0 with previous version 3.4.0 dated 2021-06-16

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 with the possibility to use a mediation analysis model. 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, Quentin Le Coent
Maintainer: Virginie Rondeau <virginie.rondeau@u-bordeaux.fr>

Diff between frailtypack versions 3.4.0 dated 2021-06-16 and 3.5.0 dated 2021-12-20

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New package sleev with initial version 1.0.0
Package: sleev
Title: Semiparametric Likelihood Estimation with Errors in Variables
Version: 1.0.0
Description: Efficient regression analysis under general two-phase sampling, where Phase I includes error-prone data and Phase II contains validated data on a subset.
License: GPL (>= 2)
Encoding: UTF-8
Depends: Rcpp (>= 1.0.7), R (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Suggests: knitr, lme4, MASS, rmarkdown, splines, testthat
NeedsCompilation: yes
Packaged: 2021-12-17 17:50:34 UTC; joeys
Author: Sarah Lotspeich [aut], Ran Tao [aut, cre], Joey Sherrill [prg]
Maintainer: Ran Tao <r.tao@vanderbilt.edu>
Repository: CRAN
Date/Publication: 2021-12-20 09:20:02 UTC

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Package shadowtext updated to version 0.1.0 with previous version 0.0.9 dated 2021-09-19

Title: Shadow Text Grob and Layer
Description: Implement shadowtextGrob() for 'grid' and geom_shadowtext() layer for 'ggplot2'. These functions create/draw text grob with background shadow.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between shadowtext versions 0.0.9 dated 2021-09-19 and 0.1.0 dated 2021-12-20

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New package redistmetrics with initial version 1.0.0
Package: redistmetrics
Title: Redistricting Metrics
Version: 1.0.0
Date: 2021-12-17
Description: Reliable and flexible tools for scoring redistricting plans using common measures and metrics. These functions provide key direct access to tools useful for non-simulation analyses of redistricting plans, such as for measuring compactness or partisan fairness. Tools are designed to work with the 'redist' package seamlessly.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: sf, Rcpp, cli, foreach, doParallel, magrittr, dplyr, rlang, geos
URL: https://alarm-redist.github.io/redistmetrics/, https::/github.com/alarm-redist/redistmetrics/
BugReports: https://github.com/alarm-redist/redistmetrics/issues
Depends: R (>= 2.10)
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-12-18 02:23:17 UTC; chris
Author: Christopher T. Kenny [aut, cre], Cory McCartan [aut], Ben Fifield [aut], Kosuke Imai [aut]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2021-12-20 09:40:02 UTC

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New package nftbart with initial version 1.1
Package: nftbart
Title: Nonparametric Failure Time Bayesian Additive Regression Trees
Version: 1.1
Date: 2021-12-17
Author: Rodney Sparapani [aut, cre], Robert McCulloch [aut], Matthew Pratola [ctb], Hugh Chipman [ctb]
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>
Description: Nonparametric Failure Time (NFT) Bayesian Additive Regression Trees (BART): Time-to-event Machine Learning with Heteroskedastic Bayesian Additive Regression Trees (HBART) and Low Information Omnibus (LIO) Dirichlet Process Mixtures (DPM). An NFT BART model is of the form Y = mu + f(x) + s(x) E where functions f and s have BART and HBART priors, respectively, while E is a nonparametric error distribution due to a DPM LIO prior hierarchy. See the following for a technical description of the model <https://www.mcw.edu/-/media/MCW/Departments/Biostatistics/tr72.pdf?la=en>.
License: GPL (>= 2)
Depends: R (>= 3.6), survival, nnet
Imports: Rcpp
Suggests: knitr, rmarkdown
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-12-17 17:16:31 UTC; rsparapa
Repository: CRAN
Date/Publication: 2021-12-20 09:20:05 UTC

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New package monochromeR with initial version 0.1.0
Package: monochromeR
Title: Easily Create, View and Use Monochrome Colour Palettes
Version: 0.1.0
Description: Generate a monochrome palette from a starting colour for a specified number of colours. The package can also be used to display colour palettes in the plot window, with or without hex colour code labels.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
URL: https://github.com/cararthompson/monochromeR
BugReports: https://github.com/cararthompson/monochromeR/issues
Maintainer: Cara Thompson <cara.r.thompson@gmail.com>
Imports: scales
NeedsCompilation: no
Packaged: 2021-12-17 20:35:36 UTC; Cara
Author: Cara Thompson [aut, cre] (<https://orcid.org/0000-0002-6472-5073>)
Repository: CRAN
Date/Publication: 2021-12-20 09:20:08 UTC

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New package metaumbrella with initial version 1.0.0
Package: metaumbrella
Title: Umbrella Review Package for R
Version: 1.0.0
Author: Corentin J Gosling [aut, cre], Aleix Solanes [aut], Paolo Fusar-Poli [aut], Joaquim Radua [aut]
Maintainer: Corentin J Gosling <cgosling@parisnanterre.fr>
Description: A comprehensive range of facilities to perform umbrella reviews with stratification of the evidence in R. The package accomplishes this aim by building on three core functions that: (i) automatically perform all required calculations (including but not limited to meta-analyses), (ii) stratify evidence according to various criteria, and (iii) generate a visual representation of the results. Note that if you are not familiar with R, the core features of this package are available from a web browser (<https://www.metaumbrella.org/>).
License: GPL-3
Imports: meta, powerSurvEpi, readxl, tcltk, withr, writexl, xtable
Encoding: UTF-8
LazyData: true
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), spelling, DT, epiR, esc, pwr, metafor
Depends: R (>= 2.10)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-12-18 17:37:03 UTC; coren
Repository: CRAN
Date/Publication: 2021-12-20 09:50:02 UTC

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Package graphkernels updated to version 1.6.1 with previous version 1.6 dated 2018-05-30

Title: Graph Kernels
Description: A fast C++ implementation for computing various graph kernels including (1) simple kernels between vertex and/or edge label histograms, (2) graphlet kernels, (3) random walk kernels (popular baselines), and (4) the Weisfeiler-Lehman graph kernel (state-of-the-art).
Author: Mahito Sugiyama [aut, cre], The development of the graphkernels open access software package was financially supported by the Horizon 2020/CDS-QUAMRI/634541 project. This support is gratefully acknowledged. [fnd]
Maintainer: Mahito Sugiyama <mahito@nii.ac.jp>

Diff between graphkernels versions 1.6 dated 2018-05-30 and 1.6.1 dated 2021-12-20

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Package daymetr updated to version 1.6 with previous version 1.5 dated 2021-05-25

Title: Interface to the 'Daymet' Web Services
Description: Programmatic interface to the 'Daymet' web services (<http://daymet.ornl.gov>). Allows for easy downloads of 'Daymet' climate data directly to your R workspace or your computer. Routines for both single pixel data downloads and gridded (netCDF) data are provided.
Author: Koen Hufkens [aut, cre] (<https://orcid.org/0000-0002-5070-8109>)
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

Diff between daymetr versions 1.5 dated 2021-05-25 and 1.6 dated 2021-12-20

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New package cosmicsig with initial version 1.0.7
Package: cosmicsig
Title: Mutational Signatures from COSMIC (Catalogue of Somatic Mutations in Cancer)
Version: 1.0.7
Description: A data package with 2 main package variables: 'signature' and 'etiology'. The 'signature' variable contains the latest mutational signature profiles released on COSMIC <https://cancer.sanger.ac.uk/signatures/> for 4 mutation types: * single base substitutions in the context of preceding and following bases, * Strand bias single base substitutions: single base substitutions from transcribed regions, that take into consideration the the transcribed versus non-transcribed strand, * Doublet base substitutions, and * Small insertions and deletions. The 'etiology' variable provides the known or hypothesized causes of signatures. 'cosmicsig' stands for COSMIC signatures. Please run ?'cosmicsig' for more information.
License: GPL-3
URL: https://github.com/Rozen-Lab/cosmicsig
BugReports: https://github.com/Rozen-Lab/cosmicsig/issues
Language: en-US
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Suggests: testthat (>= 3.0.0), ICAMS, usethis
NeedsCompilation: no
Packaged: 2021-12-17 15:22:00 UTC; posit
Author: Steven Rozen [aut, cre] (<https://orcid.org/0000-0002-4288-0056>), Nanhai Jiang [aut] (<https://orcid.org/0000-0003-4974-2753>)
Maintainer: Steven Rozen <steverozen@pm.me>
Repository: CRAN
Date/Publication: 2021-12-20 09:50:06 UTC

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New package aurin with initial version 0.5.1
Package: aurin
Title: Access Datasets from the 'AURIN' API
Version: 0.5.1
Description: 'AURIN' <https://aurin.org.au/resources/aurin-apis/> is "Australia's single largest resource for accessing clean, integrated, spatially enabled and research-ready data on issues surrounding health and wellbeing, socio-economic metrics, transportation, and land-use.". This package provides functions to download and search datasets from the AURIN API (it's free to use!).
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/asiripanich/aurin
BugReports: https://github.com/asiripanich/aurin/issues
Depends: R (>= 3.5.0)
Imports: sf (>= 0.9.0), checkmate (>= 2.0.0), cli (>= 2.1.0), stringr (>= 1.4.0), glue (>= 1.4.0), httr (>= 1.4.0), R6 (>= 2.5.0), ows4R (>= 0.1.0), jsonlite, magrittr
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2021-12-17 22:02:50 UTC; amarin
Author: Amarin Siripanich [cre, aut]
Maintainer: Amarin Siripanich <amarin.siri@gmail.com>
Repository: CRAN
Date/Publication: 2021-12-20 09:30:02 UTC

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Package ROCnReg updated to version 1.0-7 with previous version 1.0-6 dated 2021-11-23

Title: ROC Curve Inference with and without Covariates
Description: Estimates the pooled (unadjusted) Receiver Operating Characteristic (ROC) curve, the covariate-adjusted ROC (AROC) curve, and the covariate-specific/conditional ROC (cROC) curve by different methods, both Bayesian and frequentist. Also, it provides functions to obtain ROC-based optimal cutpoints utilizing several criteria. Based on Erkanli, A. et al. (2006) <doi:10.1002/sim.2496>; Faraggi, D. (2003) <doi:10.1111/1467-9884.00350>; Gu, J. et al. (2008) <doi:10.1002/sim.3366>; Inacio de Carvalho, V. et al. (2013) <doi:10.1214/13-BA825>; Inacio de Carvalho, V., and Rodriguez-Alvarez, M.X. (2018) <arXiv:1806.00473>; Janes, H., and Pepe, M.S. (2009) <doi:10.1093/biomet/asp002>; Pepe, M.S. (1998) <http://www.jstor.org/stable/2534001?seq=1>; Rodriguez-Alvarez, M.X. et al. (2011a) <doi:10.1016/j.csda.2010.07.018>; Rodriguez-Alvarez, M.X. et al. (2011a) <doi:10.1007/s11222-010-9184-1>. Please see Rodriguez-Alvarez, M.X. and Inacio, V. (20208) <arXiv:2003.13111> for more details.
Author: Maria Xose Rodriguez-Alvarez [aut, cre] (<https://orcid.org/0000-0002-1329-9238>), Vanda Inacio [aut] (<https://orcid.org/0000-0001-8084-1616>)
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.es>

Diff between ROCnReg versions 1.0-6 dated 2021-11-23 and 1.0-7 dated 2021-12-20

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Package rgeolocate updated to version 1.4.2 with previous version 1.4.1 dated 2021-10-20

Title: IP Address Geolocation
Description: Connectors to online and offline sources for taking IP addresses and geolocating them to country, city, timezone and other geographic ranges. For individual connectors, see the package index.
Author: Os Keyes [aut, cre], Drew Schmidt [aut], David Robinson [ctb], Chris Davis [ctb], Bob Rudis [ctb], Maxmind, Inc. [cph], Pascal Gloor [cph], IP2Location.com [cph]
Maintainer: Os Keyes <ironholds@gmail.com>

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Package pdfetch updated to version 0.2.5 with previous version 0.2.4 dated 2019-07-30

Title: Fetch Economic and Financial Time Series Data from Public Sources
Description: Download economic and financial time series from public sources, including the St Louis Fed's FRED system, Yahoo Finance, the US Bureau of Labor Statistics, the US Energy Information Administration, the World Bank, Eurostat, the European Central Bank, the Bank of England, the UK's Office of National Statistics, Deutsche Bundesbank, and INSEE.
Author: Abiel Reinhart <abielr@gmail.com>
Maintainer: Abiel Reinhart <abielr@gmail.com>

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Package echarty updated to version 1.4.3 with previous version 1.4.2 dated 2021-11-06

Title: Minimal R/Shiny Interface to JavaScript Library 'ECharts'
Description: The goal is to deliver the full functionality of 'ECharts' with minimal overhead. 'ECharts' is based on data structures and 'echarty' users build R lists for these same data structures. One to three 'echarty' commands are usually sufficient to produce any chart.
Author: Larry Helgason [aut, cre, cph], John Coene [aut, cph]
Maintainer: Larry Helgason <larry@helgasoft.com>

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Package DBI updated to version 1.1.2 with previous version 1.1.1 dated 2021-01-15

Title: R Database Interface
Description: A database interface definition for communication between R and relational database management systems. All classes in this package are virtual and need to be extended by the various R/DBMS implementations.
Author: R Special Interest Group on Databases (R-SIG-DB) [aut], Hadley Wickham [aut], Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), R Consortium [fnd]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package CommonMean.Copula updated to version 1.0.3 with previous version 1.0.2 dated 2021-12-19

Title: Common Mean Vector under Copula Models
Description: Estimate bivariate common mean vector under copula models with known correlation. In the current version, available copulas are the Clayton, Gumbel, Frank, Farlie-Gumbel-Morgenstern (FGM), and normal copulas. See Shih et al. (2019) <doi:10.1080/02331888.2019.1581782> and Shih et al. (2021) <under review> for details under the FGM and general copulas, respectively.
Author: Jia-Han Shih
Maintainer: Jia-Han Shih <tommy355097@gmail.com>

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Package agridat updated to version 1.20 with previous version 1.18 dated 2021-01-12

Title: Agricultural Datasets
Description: Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more.
Author: Kevin Wright [aut, cre] (<https://orcid.org/0000-0002-0617-8673>)
Maintainer: Kevin Wright <kw.stat@gmail.com>

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2020-03-31 0.5

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2020-03-25 1.2

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2020-11-30 2.2.2
2019-05-08 2.2.0
2019-03-17 2.1.2
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2018-12-06 2.1.0
2018-12-03 2.0.0

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Package RPostgres updated to version 1.4.3 with previous version 1.4.2 dated 2021-12-05

Title: Rcpp Interface to PostgreSQL
Description: Fully DBI-compliant Rcpp-backed interface to PostgreSQL <https://www.postgresql.org/>, an open-source relational database.
Author: Hadley Wickham [aut], Jeroen Ooms [aut], Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), RStudio [cph], R Consortium [fnd], Tomoaki Nishiyama [ctb] (Code for encoding vectors into strings derived from RPostgreSQL)
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package RMariaDB updated to version 1.2.1 with previous version 1.2.0 dated 2021-12-12

Title: Database Interface and MariaDB Driver
Description: Implements a DBI-compliant interface to MariaDB (<https://mariadb.org/>) and MySQL (<https://www.mysql.com/>) databases.
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Jeroen Ooms [aut] (<https://orcid.org/0000-0002-4035-0289>), David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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 RMariaDB-1.2.1/RMariaDB/R/dbGetStatement_MariaDBResult.R                        |only
 RMariaDB-1.2.1/RMariaDB/R/dbHasCompleted_MariaDBResult.R                        |only
 RMariaDB-1.2.1/RMariaDB/R/dbIsValid_MariaDBConnection.R                         |only
 RMariaDB-1.2.1/RMariaDB/R/dbIsValid_MariaDBDriver.R                             |only
 RMariaDB-1.2.1/RMariaDB/R/dbIsValid_MariaDBResult.R                             |only
 RMariaDB-1.2.1/RMariaDB/R/dbListObjects_MariaDBConnection_ANY.R                 |only
 RMariaDB-1.2.1/RMariaDB/R/dbListTables_MariaDBConnection.R                      |only
 RMariaDB-1.2.1/RMariaDB/R/dbQuoteIdentifier_MariaDBConnection_Id.R              |only
 RMariaDB-1.2.1/RMariaDB/R/dbQuoteIdentifier_MariaDBConnection_SQL.R             |only
 RMariaDB-1.2.1/RMariaDB/R/dbQuoteIdentifier_MariaDBConnection_character.R       |only
 RMariaDB-1.2.1/RMariaDB/R/dbQuoteLiteral_MariaDBConnection.R                    |only
 RMariaDB-1.2.1/RMariaDB/R/dbQuoteString_MariaDBConnection_SQL.R                 |only
 RMariaDB-1.2.1/RMariaDB/R/dbQuoteString_MariaDBConnection_character.R           |only
 RMariaDB-1.2.1/RMariaDB/R/dbReadTable_MariaDBConnection_character.R             |only
 RMariaDB-1.2.1/RMariaDB/R/dbRemoveTable_MariaDBConnection_character.R           |only
 RMariaDB-1.2.1/RMariaDB/R/dbRollback_MariaDBConnection.R                        |only
 RMariaDB-1.2.1/RMariaDB/R/dbSendQuery_MariaDBConnection_character.R             |only
 RMariaDB-1.2.1/RMariaDB/R/dbSendStatement_MariaDBConnection_character.R         |only
 RMariaDB-1.2.1/RMariaDB/R/dbUnloadDriver_MariaDBDriver.R                        |only
 RMariaDB-1.2.1/RMariaDB/R/dbUnquoteIdentifier_MariaDBConnection_SQL.R           |only
 RMariaDB-1.2.1/RMariaDB/R/dbWriteTable_MariaDBConnection_character_character.R  |only
 RMariaDB-1.2.1/RMariaDB/R/dbWriteTable_MariaDBConnection_character_data.frame.R |only
 RMariaDB-1.2.1/RMariaDB/R/default.R                                             |   36 
 RMariaDB-1.2.1/RMariaDB/R/export.R                                              |    2 
 RMariaDB-1.2.1/RMariaDB/R/query.R                                               |  152 ---
 RMariaDB-1.2.1/RMariaDB/R/quote.R                                               |   96 --
 RMariaDB-1.2.1/RMariaDB/R/show_MariaDBConnection.R                              |only
 RMariaDB-1.2.1/RMariaDB/R/sqlData_MariaDBConnection.R                           |only
 RMariaDB-1.2.1/RMariaDB/R/table.R                                               |  400 ----------
 RMariaDB-1.2.1/RMariaDB/R/transaction.R                                         |   39 
 RMariaDB-1.2.1/RMariaDB/configure                                               |    2 
 RMariaDB-1.2.1/RMariaDB/man/MariaDBConnection-class.Rd                          |   20 
 RMariaDB-1.2.1/RMariaDB/man/MariaDBDriver-class.Rd                              |   14 
 RMariaDB-1.2.1/RMariaDB/man/MariaDBResult-class.Rd                              |    3 
 RMariaDB-1.2.1/RMariaDB/man/RMariaDB-package.Rd                                 |    2 
 RMariaDB-1.2.1/RMariaDB/man/dbConnect-MariaDBDriver-method.Rd                   |   53 -
 RMariaDB-1.2.1/RMariaDB/man/dbDataType.Rd                                       |    8 
 RMariaDB-1.2.1/RMariaDB/man/mariadb-quoting.Rd                                  |   37 
 RMariaDB-1.2.1/RMariaDB/man/mariadb-tables.Rd                                   |  102 +-
 RMariaDB-1.2.1/RMariaDB/man/query.Rd                                            |   63 -
 RMariaDB-1.2.1/RMariaDB/man/result-meta.Rd                                      |   36 
 RMariaDB-1.2.1/RMariaDB/man/transactions.Rd                                     |   25 
 RMariaDB-1.2.1/RMariaDB/src/Makevars.ucrt                                       |    1 
 RMariaDB-1.2.1/RMariaDB/src/Makevars.win                                        |    5 
 RMariaDB-1.2.1/RMariaDB/tests/testthat/test-DBItest.R                           |    2 
 RMariaDB-1.2.1/RMariaDB/tests/testthat/test-dbWriteTable.R                      |    2 
 RMariaDB-1.2.1/RMariaDB/tests/testthat/test-queries.R                           |    2 
 74 files changed, 459 insertions(+), 1194 deletions(-)

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