Mon, 24 Aug 2020

Package Mercator updated to version 0.11.2 with previous version 0.10.0 dated 2020-03-06

Title: Clustering and Visualizing Distance Matrices
Description: Defines the classes used to explore, cluster and visualize distance matrices, especially those arising from binary data.
Author: Kevin R. Coombes, Caitlin E. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package fec16 updated to version 0.1.1 with previous version 0.1.0 dated 2020-07-30

Title: Data Package for the 2016 United States Federal Elections
Description: Easily analyze relational data from the United States 2016 federal election cycle as reported by the Federal Election Commission. This package contains data about candidates, committees, and a variety of different financial expenditures. Data is from <https://www.fec.gov/data/browse-data/?tab=bulk-data>.
Author: Marium Tapal [aut, cre] (<https://orcid.org/0000-0001-5093-6462>), Rana Gahwagy [aut], Irene Ryan [aut], Benjamin S. Baumer [aut] (<https://orcid.org/0000-0002-3279-0516>)
Maintainer: Marium Tapal <mariumtapal@gmail.com>

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Package WVPlots updated to version 1.2.7 with previous version 1.2.6 dated 2020-08-11

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package ShinyItemAnalysis updated to version 1.3.4 with previous version 1.3.3 dated 2020-05-04

Title: Test and Item Analysis via Shiny
Description: Interactive shiny application for analysis of educational tests and their items.
Author: Patricia Martinkova [aut, cre], Adela Hladka [aut], Ondrej Leder [ctb], Jakub Houdek [ctb], Lubomir Stepanek [ctb], Tomas Jurica [ctb], Jana Vorlickova [ctb], Jan Netik [ctb]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>

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Package IrregLong updated to version 0.3.3 with previous version 0.3.2 dated 2020-06-24

Title: Analysis of Longitudinal Data with Irregular Observation Times
Description: Analysis of longitudinal data for which the times of observation are random variables that are potentially associated with the outcome process. The package includes inverse-intensity weighting methods (Lin H, Scharfstein DO, Rosenheck RA (2004) <doi:10.1111/j.1467-9868.2004.b5543.x>) and multiple outputation (Pullenayegum EM (2016) <doi:10.1002/sim.6829>).
Author: Eleanor Pullenayegum
Maintainer: Eleanor Pullenayegum <eleanor.pullenayegum@sickkids.ca>

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Package lmviz updated to version 0.2.0 with previous version 0.1.2 dated 2019-05-15

Title: A Package to Visualize Linear Models Features and Play with Them
Description: Contains a suite of shiny applications meant to explore linear model inference feature through simulation and games.
Author: Francesco Pauli (see file LICENSEMEDIA for credits on sounds and images)
Maintainer: Francesco Pauli <francesco.pauli@deams.units.it>

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New package zdeskR with initial version 0.0.1
Package: zdeskR
Title: Connect to Your 'Zendesk' Data
Version: 0.0.1
Authors@R: c(person(given = "Chris", family = "Umphlett", role = c("aut", "cre"), email = "christopher.umphlett@gmail.com"), person(given = "Avinash", family = "Panigrahi", role = "aut", email = "avinashpanigrahi@outlook.com"))
Description: Facilitates making a connection to the 'Zendesk' API and executing various queries. You can use it to get ticket data and ticket metrics. The 'Zendesk' documentation is available at <https://developer.zendesk.com/rest_api/docs/support/introduction>. This package is not supported by 'Zendesk' (owner of the software).
URL: https://github.com/chrisumphlett/zdeskR
BugReports: https://github.com/chrisumphlett/zdeskR/issues
License: CC0
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 1.0.0), magrittr (>= 1.5), jsonlite (>= 1.6.1), purrr (>= 0.3.3), httr (>= 1.4.1), tidyselect (>= 1.0.0), tidyr (>= 1.0.0), tibble (>= 1.0.3), plyr (>= 1.8.6)
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-08-24 12:05:09 UTC; c.umphlett
Author: Chris Umphlett [aut, cre], Avinash Panigrahi [aut]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-24 16:20:03 UTC

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New package sparklyr.flint with initial version 0.1.1
Package: sparklyr.flint
Type: Package
Title: Sparklyr Extension for 'Flint'
Version: 0.1.1
Authors@R: c( person("Yitao", "Li", email = "yitao@rstudio.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1261-905X")) )
Maintainer: Yitao Li <yitao@rstudio.com>
Description: This sparklyr extension makes 'Flint' time series library functionalities (<https://github.com/twosigma/flint>) easily accessible through R.
License: Apache License 2.0
SystemRequirements: Spark: 2.x or above
URL: <https://github.com/r-spark/sparklyr.flint>
BugReports: https://github.com/r-spark/sparklyr.flint/issues
LazyData: TRUE
RoxygenNote: 7.1.1
Depends: R (>= 3.2)
Imports: dbplyr, dplyr, sparklyr (>= 1.3), rlang, tibble
Collate: 'imports.R' 'globals.R' 'init.R' 'sdf_utils.R' 'window_exprs.R' 'summarizers.R' 'utils.R'
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-13 12:54:38 UTC; ubuntu
Author: Yitao Li [aut, cre] (<https://orcid.org/0000-0002-1261-905X>)
Repository: CRAN
Date/Publication: 2020-08-24 16:10:03 UTC

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New package GeodRegr with initial version 0.1.0
Package: GeodRegr
Type: Package
Title: Geodesic Regression
Version: 0.1.0
Authors@R: c( person("Ha-Young", "Shin", email = "hayoung.shin@gmail.com", role = c("aut", "cre")), person("Hee-Seok", "Oh", role = "aut"))
Description: Provides a gradient descent algorithm to find a geodesic relationship between real-valued independent variables and a manifold-valued dependent variable (i.e. geodesic regression). Available manifolds are Euclidean space, the sphere, and Kendall's 2-dimensional shape space. Besides the standard least-squares loss, the least absolute deviations, Huber, and Tukey biweight loss functions can also be used to perform robust geodesic regression. Functions to help choose appropriate cutoff parameters to maintain high efficiency for the Huber and Tukey biweight estimators are included. The k-sphere is a k-dimensional manifold: we represent it as a sphere of radius 1 and center 0 embedded in (k+1)-dimensional space. Kendall's 2D shape space with K landmarks is of real dimension 2K-4; preshapes are represented as complex K-vectors with mean 0 and magnitude 1. Details are described in Shin, H.-Y. and Oh, H.-S. (2020) <arXiv:2007.04518>. Also see Fletcher, P. T. (2013) <doi:10.1007/s11263-012-0591-y> and Kim, H. J., Adluru, N., Collins, M. D., Chung, M. K., Bendin, B. B., Johnson, S. C., Davidson, R. J. and Singh, V. (2014) <doi:10.1109/CVPR.2014.352>.
Depends: R (>= 4.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: zipfR (>= 0.6.66), stats (>= 3.6.2)
NeedsCompilation: no
Packaged: 2020-08-18 08:44:53 UTC; hc.gong
Author: Ha-Young Shin [aut, cre], Hee-Seok Oh [aut]
Maintainer: Ha-Young Shin <hayoung.shin@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-24 16:20:07 UTC

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New package DirStats with initial version 0.1.5
Package: DirStats
Type: Package
Title: Nonparametric Methods for Directional Data
Version: 0.1.5
Date: 2020-08-22
Authors@R: person(given = "Eduardo", family = "García-Portugués", role = c("aut", "cre"), email = "edgarcia@est-econ.uc3m.es")
Description: Nonparametric kernel density estimation, bandwidth selection, and other utilities for analyzing directional data. Implements the estimator in Bai, Rao and Zhao (1987) <doi:10.1016/0047-259X(88)90113-3>, the cross-validation bandwidth selectors in Hall, Watson and Cabrera (1987) <doi:10.1093/biomet/74.4.751> and the plug-in bandwidth selectors in García-Portugués (2013) <doi:10.1214/13-ejs821>.
License: GPL-3
LazyData: true
Depends: R (>= 3.6.0)
Imports: movMF, rotasym
Suggests: viridisLite
URL: https://github.com/egarpor/DirStats
BugReports: https://github.com/egarpor/DirStats
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-08-24 09:39:14 UTC; Eduardo
Author: Eduardo García-Portugués [aut, cre]
Maintainer: Eduardo García-Portugués <edgarcia@est-econ.uc3m.es>
Repository: CRAN
Date/Publication: 2020-08-24 16:10:08 UTC

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Package vlad updated to version 0.2.1 with previous version 0.2.0 dated 2018-12-06

Title: Variable Life Adjusted Display and Other Risk-Adjusted Quality Control Charts
Description: Contains functions to set up risk-adjusted quality control charts in health care. For the variable life adjusted display (VLAD) proposed by Lovegrove et al. (1997) <doi:10.1016/S0140-6736(97)06507-0> signaling rules derived in Wittenberg et al. (2018) <doi:10.1002/sim.7647> are implemented. Additionally, for the risk-adjusted cumulative sum chart based on log-likelihood ratio statistic introduced by Steiner et al. (2000) <doi:10.1093/biostatistics/1.4.441> average run length and control limits can be computed with fast and accurate Markov chain approximations developed in Knoth et al. (2019) <doi:10.1002/sim.8104>.
Author: Philipp Wittenberg [aut, cre] (<https://orcid.org/0000-0001-7151-8243>), Sven Knoth [aut, ths] (<https://orcid.org/0000-0002-9666-5554>)
Maintainer: Philipp Wittenberg <pwitten@hsu-hh.de>

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New package SynthETIC with initial version 0.1.0
Package: SynthETIC
Title: Synthetic Experience Tracking Insurance Claims
Version: 0.1.0
Authors@R: c( person("Benjamin", "Avanzi", role = "aut", email = "b.avanzi@unimelb.edu.au"), person("Greg", "Taylor", role = "aut", email = "greg_taylor60@hotmail.com"), person("Melantha", "Wang", role = c("aut", "cre"), email = "wang.melantha@gmail.com"), person("Bernard", "Wong", role = "aut", email = "bernard.wong@unsw.edu.au"))
Author: Benjamin Avanzi [aut], Greg Taylor [aut], Melantha Wang [aut, cre], Bernard Wong [aut]
Maintainer: Melantha Wang <wang.melantha@gmail.com>
Imports: stats, ggplot2, magrittr, rlang
Description: Creation of an individual claims simulator which generates various features of non-life insurance claims. An initial set of test parameters, designed to mirror the experience of an Auto Liability portfolio, were set up and applied by default to generate a realistic test data set of individual claims (see vignette). The simulated data set then allows practitioners to back-test the validity of various reserving models and to prove and/or disprove certain actuarial assumptions made in claims modelling. The distributional assumptions used to generate this data set can be easily modified by users to match their experiences. Reference: Avanzi B, Taylor G, Wang M, Wong B (2020) "SynthETIC: an individual insurance claim simulator with feature control" <arXiv:2008.05693>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, dplyr, RColorBrewer
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-08-21 11:23:06 UTC; melantha
Repository: CRAN
Date/Publication: 2020-08-24 15:50:30 UTC

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New package rAmCharts4 with initial version 0.1.0
Package: rAmCharts4
Title: Interface to the JavaScript Library 'amCharts 4'
Date: 2020-08-24
Version: 0.1.0
Authors@R: c( person(given = "Stéphane", family = "Laurent", role = c("aut", "cre"), email = "laurent_step@outlook.fr"), person(given = "Antanas", family = "Marcelionis", role = c("ctb", "cph"), email = "contact@amcharts.com", comment = "'amCharts' library (https://www.amcharts.com/)"), person(given = "Terence", family = "Eden", role = c("ctb", "cph"), comment = "'SuperTinyIcons' library (https://github.com/edent/SuperTinyIcons/)"), person(given = "Tom", family = "Alexander", role = c("ctb", "cph"), email = "me@tomalexander.co.nz", comment = "'regression-js' library (https://github.com/Tom-Alexander/regression-js)") )
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Description: Creates JavaScript charts. The charts can be included in 'Shiny' apps and R markdown documents, or viewed from the R console and 'RStudio' viewer. Based on the JavaScript library 'amCharts 4' and the R packages 'htmlwidgets' and 'reactR'. Currently available types of chart are: vertical and horizontal bar chart, radial bar chart, vertical and horizontal Dumbbell chart, line chart, scatter chart, and range area chart.
URL: https://github.com/stla/rAmCharts4
BugReports: https://github.com/stla/rAmCharts4/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: htmltools, htmlwidgets, reactR, shiny, jsonlite, lubridate, minpack.lm, tools, base64enc, xml2, stringr, stats, grDevices
Suggests: reshape2
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-08-24 07:52:09 UTC; stla
Author: Stéphane Laurent [aut, cre], Antanas Marcelionis [ctb, cph] ('amCharts' library (https://www.amcharts.com/)), Terence Eden [ctb, cph] ('SuperTinyIcons' library (https://github.com/edent/SuperTinyIcons/)), Tom Alexander [ctb, cph] ('regression-js' library (https://github.com/Tom-Alexander/regression-js))
Repository: CRAN
Date/Publication: 2020-08-24 15:40:03 UTC

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New package ngramr with initial version 1.7.2
Package: ngramr
Type: Package
Title: Retrieve and Plot Google n-Gram Data
Version: 1.7.2
Date: 2020-08-18
Authors@R: c( person("Sean", "Carmody", email = "seancarmody@gmail.com", role = c("aut", "cre", "cph")) )
Maintainer: Sean Carmody <seancarmody@gmail.com>
Description: Retrieve and plot word frequencies through time from the "Google Ngram Viewer" <https://books.google.com/ngrams>.
Depends: R (>= 3.5.0)
Imports: httr, rlang, RCurl, dplyr, cli, tibble, tidyr, rjson, stringr, ggplot2, scales, xml2, textutils, lifecycle
URL: https://github.com/seancarmody/ngramr
BugReports: https://github.com/seancarmody/ngramr/issues
License: GPL (>= 2)
RoxygenNote: 7.1.1
Encoding: UTF-8
Suggests: testthat
RdMacros: lifecycle
Language: en-AU
NeedsCompilation: no
Packaged: 2020-08-24 07:04:06 UTC; sean
Author: Sean Carmody [aut, cre, cph]
Repository: CRAN
Date/Publication: 2020-08-24 15:30:02 UTC

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New package lilikoi with initial version 2.0.1
Package: lilikoi
Type: Package
Title: Metabolomics Personalized Pathway Analysis Tool
Version: 2.0.1
Authors@R: c( person("Xinying", "Fang", email = "xinyingf@umich.edu", role = c("aut")), person("Yu", "Liu", email = "uiluy@umich.edu", role = "aut"), person("Zhijie", "Ren", email = "rzj@umich.edu", role = "aut"), person("Fadhl", "Alakwaa", email = "falakwaa@hawaii.edu", role = "aut"), person("Sijia", "Huang", email = "scarlettcanny@gmail.com", role = "aut"), person("Lana", "Garmire", email = "lgarmire@med.umich.edu", role = c("aut","cre")))
Description: A personalized metabolites and pathway analysis tool. With the metabolites data provided by users, lilikoi maps the metabolites data into pathways and calculates pathway deregulation scores. It enables users to perform exploratory analysis, classification and prognosis analysis on both metabolites and pathways. References: Fadhl M AlAkwaa, Breck Yunits, Sijia Huang, Hassam Alhajaji, Lana X Garmire <doi.org/10.1093/gigascience/giy136> H. Paul Benton <http://www.metabolomics-forum.com/index.php?topic=281.0> Jeff Xia <https://github.com/cangfengzhe/Metabo/blob/master/MetaboAnalyst/website/name_match.R> Travers Ching, Xun Zhu, Lana X. Garmire (2018) <doi:10.1371/journal.pcbi.1006076>.
Depends: R (>= 3.5.0)
Imports: car, caret, dplyr, gbm, ggplot2, glmnet, h2o, impute, infotheo, limma, M3C, Metrics, MLmetrics, parallel, pathifier, pathview, plyr, preprocessCore, pROC, RCy3, reticulate, reshape, RWeka, scales, stringr, survminer, survival
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-08-02 19:49:50 UTC; rrrrrita
Author: Xinying Fang [aut], Yu Liu [aut], Zhijie Ren [aut], Fadhl Alakwaa [aut], Sijia Huang [aut], Lana Garmire [aut, cre]
Maintainer: Lana Garmire <lgarmire@med.umich.edu>
Repository: CRAN
Date/Publication: 2020-08-24 15:50:03 UTC

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Package lefko3 updated to version 2.3.0 with previous version 2.2.2 dated 2020-08-03

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

Diff between lefko3 versions 2.2.2 dated 2020-08-03 and 2.3.0 dated 2020-08-24

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 34 files changed, 8623 insertions(+), 11377 deletions(-)

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New package independence with initial version 1.0
Package: independence
Type: Package
Title: Fast Rank-Based Independence Testing
Version: 1.0
Date: 2020-08-10
Authors@R: person("Chaim", "Even-Zohar", email = "chaim@ucdavis.edu", role = c("aut", "cre"))
Maintainer: Chaim Even-Zohar <chaim@ucdavis.edu>
Description: Performs three ranking-based nonparametric tests for the independence of two continuous variables: (1) the classical Hoeffding's D test; (2) a refined variant of it, named R; (3) the Bergsma-Dassios T* sign covariance. The first test is consistent assuming an absolutely continuous bivariate distribution, i.e., the population coefficient D=0 iff the variables are independent. The latter two are consistent under no restriction on the distribution. All three statistics are computed in time O(n log n) given n iid paired samples. The computation of R and T* uses a new algorithm, following work of Even-Zohar and Leng (2019), see <arXiv:1911.01414> and references therein.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.5)
LinkingTo: Rcpp
Suggests: TauStar, testthat
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-08-17 19:53:57 UTC; cevenzohar
Author: Chaim Even-Zohar [aut, cre]
Repository: CRAN
Date/Publication: 2020-08-24 15:50:11 UTC

More information about independence at CRAN
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New package ggDCA with initial version 1.0
Package: ggDCA
Title: Calculate and Plot Decision Curve
Version: 1.0
Authors@R: c( person("Jing","Zhang",role = c("aut", "cre"),email = "zj391120@163.com"), person("Zhi", "Jin", role="aut") )
Description: Diagnostic and prognostic models are typically evaluated with measures of accuracy that do not address clinical consequences. Decision-analytic techniques allow assessment of clinical outcomes but often require collection of additional information and may be cumbersome to apply to models that yield a continuous result. Decision curve analysis is a suitable method for evaluating alternative diagnostic and prognostic strategies that has advantages over other commonly used measures and techniques. This method was described by Andrew J. Vickers (2006) <doi:10.1177/0272989X06295361>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: do, set, rms (>= 6.0.1), base.rms, survival (>= 3.1-12)
Depends: R (>= 2.10), ggplot2
NeedsCompilation: no
Packaged: 2020-08-24 10:24:47 UTC; asus
Author: Jing Zhang [aut, cre], Zhi Jin [aut]
Maintainer: Jing Zhang <zj391120@163.com>
Repository: CRAN
Date/Publication: 2020-08-24 15:50:14 UTC

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New package fruclimadapt with initial version 0.4.3
Package: fruclimadapt
Type: Package
Title: Evaluation Tools for Assessing Climate Adaptation of Fruit Tree Species
Version: 0.4.3
Author: Carlos Miranda
Maintainer: Carlos Miranda <carlos.miranda@unavarra.es>
Description: Climate is a critical component limiting growing range of plant species, which also determines cultivar adaptation to a region. The evaluation of climate influence on fruit production is critical for decision-making in the design stage of orchards and vineyards and in the evaluation of the potential consequences of future climate. Bio- climatic indices and plant phenology are commonly used to describe the suitability of climate for growing quality fruit and to provide temporal and spatial information about regarding ongoing and future changes. 'fruclimadapt' streamlines the assessment of climate adaptation and the identification of potential risks for grapevines and fruit trees. Procedures in the package allow to i) downscale daily meteorological variables to hourly values (Forster et al (2016) <doi:10.5194/gmd-9-2315-2016>), ii) estimate chilling and forcing heat accumulation (Miranda et al (2019) <https://ec.europa.eu/eip/agriculture/sites/agri-eip/files/fg30_mp5_phenology_critical_temperatures.pdf>), iii) estimate plant phenology (Schwartz (2012) <doi:10.1007/978-94-007-6925-0>), iv) calculate bioclimatic indices to evaluate fruit tree and grapevine adaptation (e.g. Badr et al (2017) <doi:10.3354/cr01532>), v) estimate the incidence of weather-related disorders in fruits (e.g. Snyder and de Melo-Abreu (2005, ISBN:92-5-105328-6) and vi) estimate plant water requirements (Allen et al (1998, ISBN:92-5-104219-5)).
Depends: R (>= 3.5.0)
Imports: data.table, tidyverse, zoo, lubridate
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-08-24 09:06:42 UTC; carva
Repository: CRAN
Date/Publication: 2020-08-24 15:50:17 UTC

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New package DynComm with initial version 2020.1.4
Package: DynComm
Type: Package
Title: Dynamic Network Communities Detection and Generation
Version: 2020.1.4
Authors@R: c(person(given = "Rui P.", family = "Sarmento", role = c("aut", "cre"), email = "email@ruisarmento.com", comment = c(ORCID = "0000-0003-1891-5295")), person(given = "Luís", family = "Lemos", role = c("aut")), person(given = "Mário", family = "Cordeiro", role = c("ctb")), person(given = "Giulio", family = "Rossetti", role = c("ctb")))
Maintainer: Rui P. Sarmento <email@ruisarmento.com>
Description: Used for evolving network analysis regarding community detection. Implements several algorithms that calculate communities for graphs whose nodes and edges change over time. Edges, which can have new nodes, can be added or deleted. Changes in the communities are calculated without recalculating communities for the entire graph. REFERENCE: M. Cordeiro et al. (2016) <DOI:10.1007/s13278-016-0325-1> G. Rossetti et al. (2017) <DOI:10.1007/s10994-016-5582-8> G. Rossetti (2017) <DOI:10.1093/comnet/cnx016> R. Sarmento (2019) <arXiv:1904.12593>.
License: GPL-2
Encoding: UTF-8
LazyData: false
Imports: Rcpp (>= 0.12.15), Rdpack, methods
Depends: igraph
LinkingTo: Rcpp
RcppModules: DynCommRcpp
RdMacros: Rdpack
SystemRequirements: C++11
Suggests: devtools
RoxygenNote: 7.1.0
StagedInstall: yes
NeedsCompilation: yes
Packaged: 2020-08-15 12:42:42 UTC; sarmentor
Author: Rui P. Sarmento [aut, cre] (<https://orcid.org/0000-0003-1891-5295>), Luís Lemos [aut], Mário Cordeiro [ctb], Giulio Rossetti [ctb]
Repository: CRAN
Date/Publication: 2020-08-24 15:20:03 UTC

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New package disaggR with initial version 0.1.5
Package: disaggR
Type: Package
Title: Two-Steps Benchmarks for Time Series Disaggregation
Version: 0.1.5
Date: 2020-08-04
Author: Arnaud Feldmann
Maintainer: Arnaud Feldmann <arnaud.feldmann@gmail.com>
Description: The twoStepsBenchmark() function and its wrappers allow you to disaggregate a low frequency time serie with time series of higher frequency, using the French National Accounts methodology. The aggregated sum of the resulting time-serie is strictly equal to the low-frequency serie within the benchmarking window. Typically, the low frequency serie is an annual one, unknown for the last year, and the high frequency is either quarterly or mensual. See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8).
Imports: ggplot2
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.1.1
Suggests: testthat (>= 2.1.0), vdiffr
Depends: R (>= 2.10)
LazyData: yes
NeedsCompilation: no
Packaged: 2020-08-24 08:10:45 UTC; arnok
Repository: CRAN
Date/Publication: 2020-08-24 15:50:22 UTC

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New package diffcor with initial version 0.3.0
Package: diffcor
Type: Package
Title: Fisher's z-Tests Concerning Difference of Correlations
Version: 0.3.0
Author: Christian Bloetner
Maintainer: Christian Bloetner <c.bloetner@gmail.com>
Description: Computations of Fisher's z-tests concerning differences between correlations. diffcor.one() could be used to test for differences regarding an expected value, e.g., in construct validation. diffcor.two() may be useful in replication studies, to test if the original study and the replication study differed in terms of effects. diffcor.dep() can be applied to check if the correlation between one construct with another one (r12) is significantly different/higher/smaller than the correlation of one of the constructs with a third construct (r13), given the correlation of the constructs that are compared (r23). The outputs for all the three functions provide the test statistic in z-units as well as p-values. For diffcor.one() and diffcor.two(), the effect size Cohens q is additionally printed. It is a descriptive index to evaluate differences of independent correlations. Cohen (1988) suggested q = |.10|, |.30| and |.50| as small, moderate, and large differences.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-08-24 10:52:08 UTC; cbloe
Repository: CRAN
Date/Publication: 2020-08-24 16:00:07 UTC

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Package bspm updated to version 0.3.5 with previous version 0.3.4 dated 2020-08-03

Title: Bridge to System Package Manager
Description: Enables binary package installations on Linux distributions. Provides functions to manage packages via the distribution's package manager. Also provides transparent integration with R's install.packages() and a fallback mechanism. When installed as a system package, interacts with the system's package manager without requiring administrative privileges via an integrated D-Bus service; otherwise, uses sudo. Currently, the following backends are supported: DNF, APT.
Author: Iñaki Ucar [aut, cph, cre] (<https://orcid.org/0000-0001-6403-5550>)
Maintainer: Iñaki Ucar <iucar@fedoraproject.org>

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New package BiasCorrector with initial version 0.1.1
Package: BiasCorrector
Title: A GUI to Correct Measurement Bias in DNA Methylation Analyses
Version: 0.1.1
Date: 2020-08-24
Authors@R: c(person(given = "Lorenz A.", family = "Kapsner", role = c("cre", "aut", "cph"), email = "lorenz.kapsner@gmail.com", comment = c(ORCID = "0000-0003-1866-860X")), person(given = "Evgeny A.", family = "Moskalev", role = "aut"))
Description: A GUI to correct measurement bias in DNA methylation analyses. The 'BiasCorrector' package just wraps the functions implemented in the 'R' package 'rBiasCorrection' into a shiny web application in order to make them more easily accessible.
License: GPL-3
URL: https://github.com/kapsner/BiasCorrector
BugReports: https://github.com/kapsner/BiasCorrector/issues
Depends: R (>= 2.10)
Imports: data.table, DT, magrittr, rBiasCorrection, shiny, shinydashboard, shinyjs
Suggests: lintr, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-08-24 06:51:22 UTC; user
Author: Lorenz A. Kapsner [cre, aut, cph] (<https://orcid.org/0000-0003-1866-860X>), Evgeny A. Moskalev [aut]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-24 15:20:08 UTC

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Package unikn updated to version 0.3.0 with previous version 0.2.0 dated 2019-09-25

Title: Graphical Elements of the University of Konstanz's Corporate Design
Description: Define and use graphical elements of corporate design manuals in R. The 'unikn' package provides color functions (by defining dedicated colors and color palettes, and commands for changing, viewing, and using them) and styled text elements (e.g., for marking, underlining, or plotting colored titles). The pre-defined range of colors and text functions is based on the corporate design of the University of Konstanz <https://www.uni-konstanz.de/>, but can be adapted and extended for other institutions and purposes.
Author: Hansjoerg Neth [aut, cre] (<https://orcid.org/0000-0001-5427-3141>), Nico Gradwohl [aut] (<https://orcid.org/0000-0002-8703-905X>)
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

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Package conf updated to version 1.7.0 with previous version 1.6.3 dated 2020-03-13

Title: Visualization and Analysis of Statistical Measures of Confidence
Description: Enables: (1) plotting two-dimensional confidence regions, (2) coverage analysis of confidence region simulations and (3) calculating confidence intervals and the associated actual coverage for binomial proportions. Each is given in greater detail next. (1) Plots the two-dimensional confidence region for probability distribution parameters (supported distribution suffixes: cauchy, gamma, invgauss, logis, llogis, lnorm, norm, unif, weibull) corresponding to a user-given complete or right-censored dataset and level of significance. The crplot() algorithm plots more points in areas of greater curvature to ensure a smooth appearance throughout the confidence region boundary. An alternative heuristic plots a specified number of points at roughly uniform intervals along its boundary. Both heuristics build upon the radial profile log-likelihood ratio technique for plotting confidence regions given by Jaeger (2016) <doi:10.1080/00031305.2016.1182946>, and are detailed in a publication by Weld (2019) <doi:10.1080/00031305.2018.1564696>. (2) Performs confidence region coverage simulations for a random sample drawn from a user- specified parametric population distribution, or for a user-specified dataset and point of interest with coversim(). (3) Calculates confidence interval bounds for a binomial proportion with binomTest(), calculates the actual coverage with binomTestCoverage(), and plots the actual coverage with binomTestCoveragePlot(). Calculates confidence interval bounds for the binomial proportion using an ensemble of constituent confidence intervals with binomTestEnsemble(). Calculates confidence interval bounds for the binomial proportion using a complete enumeration of all possible transitions from one actual coverage acceptance curve to another which minimizes the root mean square error for n <= 15 and follows the transitions for well-known confidence intervals for n > 15 using binomTestMSE().
Author: Christopher Weld [aut, cre] (<https://orcid.org/0000-0001-5902-9738>), Hayeon Park [aut], Kexin Feng [aut], Heather Sasinowska [aut], Lawrence Leemis [aut], Andrew Loh [ctb], Yuan Chang [ctb], Brock Crook [ctb], Xin Zhang [ctb]
Maintainer: Christopher Weld <ceweld@email.wm.edu>

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Package backports updated to version 1.1.9 with previous version 1.1.8 dated 2020-06-17

Title: Reimplementations of Functions Introduced Since R-3.0.0
Description: Functions introduced or changed since R v3.0.0 are re-implemented in this package. The backports are conditionally exported in order to let R resolve the function name to either the implemented backport, or the respective base version, if available. Package developers can make use of new functions or arguments by selectively importing specific backports to support older installations.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), R Core Team [aut]
Maintainer: Michel Lang <michellang@gmail.com>

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Package Spbsampling updated to version 1.3.4 with previous version 1.3.3 dated 2020-03-31

Title: Spatially Balanced Sampling
Description: Selection of spatially balanced samples. In particular, the implemented sampling designs allow to select probability samples well spread over the population of interest, in any dimension and using any distance function (e.g. Euclidean distance, Manhattan distance). For more details, Benedetti R and Piersimoni F (2017) <doi:10.1002/bimj.201600194> and Benedetti R and Piersimoni F (2017) <arXiv:1710.09116>. The implementation has been done in C++ through the use of 'Rcpp' and 'RcppArmadillo'.
Author: Francesco Pantalone [aut, cre], Roberto Benedetti [aut], Federica Piersimoni [aut]
Maintainer: Francesco Pantalone <pantalone.fra@gmail.com>

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Package MetabolicSurv updated to version 1.1.1 with previous version 1.1.0 dated 2019-08-05

Title: A Biomarker Validation Approach for Classification and Predicting Survival Using Metabolomics Signature
Description: An approach to identifies metabolic biomarker signature for metabolic data by discovering predictive metabolite for predicting survival and classifying patients into risk groups. Classifiers are constructed as a linear combination of predictive/important metabolites, prognostic factors and treatment effects if necessary. Several methods were implemented to reduce the metabolomics matrix such as the principle component analysis of Wold Svante et al. (1987) <doi:10.1016/0169-7439(87)80084-9> , the LASSO method by Robert Tibshirani (1998) <doi:10.1002/(SICI)1097-0258(19970228)16:4%3C385::AID-SIM380%3E3.0.CO;2-3>, the elastic net approach by Hui Zou and Trevor Hastie (2005) <doi:10.1111/j.1467-9868.2005.00503.x>. Sensitivity analysis on the quantile used for the classification can also be accessed to check the deviation of the classification group based on the quantile specified. Large scale cross validation can be performed in order to investigate the mostly selected predictive metabolites and for internal validation. During the evaluation process, validation is accessed using the hazard ratios (HR) distribution of the test set and inference is mainly based on resampling and permutations technique.
Author: Olajumoke Evangelina Owokotomo [aut, cre], Ziv Shkedy [aut]
Maintainer: Olajumoke Evangelina Owokotomo <olajumoke.owokotomo@uhasselt.be>

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Package matsindf updated to version 0.3.6 with previous version 0.3.4 dated 2020-03-21

Title: Matrices in Data Frames
Description: Provides functions to collapse a tidy data frame into matrices in a data frame and expand a data frame of matrices into a tidy data frame.
Author: Matthew Heun [aut, cre] (<https://orcid.org/0000-0002-7438-214X>)
Maintainer: Matthew Heun <matthew.heun@me.com>

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Package inplace updated to version 0.1.2 with previous version 0.1.1 dated 2020-08-13

Title: In-place Operators for R
Description: It provides in-place operators for R that are equivalent to '+=', '-=', '*=', '/=' in C++. Those can be applied on integer|double vectors|matrices. You have also access to sweep operations (in-place).
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

Diff between inplace versions 0.1.1 dated 2020-08-13 and 0.1.2 dated 2020-08-24

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Package shinymanager updated to version 1.0.300 with previous version 1.0.200 dated 2020-02-28

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 1.0.200 dated 2020-02-28 and 1.0.300 dated 2020-08-24

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Package maptools updated to version 1.0-2 with previous version 1.0-1 dated 2020-05-14

Title: Tools for Handling Spatial Objects
Description: Set of tools for manipulating geographic data. It includes binary access to 'GSHHG' shoreline files. The package also provides interface wrappers for exchanging spatial objects with packages such as 'PBSmapping', 'spatstat', 'maps', and others.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Nicholas Lewin-Koh [aut], Edzer Pebesma [ctb], Eric Archer [ctb], Adrian Baddeley [ctb], Nick Bearman [ctb], Hans-Jörg Bibiko [ctb], Steven Brey [ctb], Jonathan Callahan [ctb], German Carrillo [ctb], Stéphane Dray [ctb], David Forrest [ctb], Michael Friendly [ctb], Patrick Giraudoux [ctb], Duncan Golicher [ctb], Virgilio Gómez Rubio [ctb], Patrick Hausmann [ctb], Karl Ove Hufthammer [ctb], Thomas Jagger [ctb], Kent Johnson [ctb], Matthew Lewis [ctb] (<https://orcid.org/0000-0003-2244-4078>), Sebastian Luque [ctb], Don MacQueen [ctb], Andrew Niccolai [ctb], Edzer Pebesma [ctb], Oscar Perpiñán Lamigueiro [ctb], Ethan Plunkett [ctb], Ege Rubak [ctb] (<https://orcid.org/0000-0002-6675-533X>), Tom Short [ctb], Greg Snow [ctb], Ben Stabler [ctb], Murray Stokely [ctb], Rolf Turner [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package GeneralizedUmatrix updated to version 1.2.0 with previous version 1.1.9 dated 2020-03-23

Title: Credible Visualization for Two-Dimensional Projections of Data
Description: Projections are common dimensionality reduction methods, which represent high-dimensional data in a two-dimensional space. However, when restricting the output space to two dimensions, which results in a two dimensional scatter plot (projection) of the data, low dimensional similarities do not represent high dimensional distances coercively [Thrun, 2018]. This could lead to a misleading interpretation of the underlying structures [Thrun, 2018]. By means of the 3D topographic map the generalized Umatrix is able to depict errors of these two-dimensional scatter plots. The package is based on the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.
Author: Michael Thrun [aut, cre, cph] (<https://orcid.org/0000-0001-9542-5543>), Felix Pape [ctb, ctr], Tim Schreier [ctb, ctr], Luis Winckelman [ctb, ctr], Alfred Ultsch [ths]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package difNLR updated to version 1.3.5 with previous version 1.3.3 dated 2020-05-04

Title: DIF and DDF Detection by Non-Linear Regression Models
Description: Detection of differential item functioning (DIF) among dichotomously scored items and differential distractor functioning (DDF) among unscored items with non-linear regression procedures based on generalized logistic regression models (Drabinova and Martinkova, 2017, doi:10.1111/jedm.12158).
Author: Adela Hladka [aut, cre], Patricia Martinkova [aut], Karel Zvara [ctb]
Maintainer: Adela Hladka <hladka@cs.cas.cz>

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Package flows (with last version 1.1.1) was removed from CRAN

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

2016-06-06 1.1.1
2015-10-06 1.1
2015-07-17 1.0

Permanent link
Package USGSstates2k (with last version 1.0.1) was removed from CRAN

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

2016-08-08 1.0.1
2016-07-20 1.0.0

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Package rflexscan updated to version 0.3.1 with previous version 0.3.0 dated 2020-06-23

Title: The Flexible Spatial Scan Statistic
Description: Functions for the detection of spatial clusters using the flexible spatial scan statistic developed by Tango and Takahashi (2005) <doi:10.1186/1476-072X-4-11>. This package implements a wrapper for the C routine used in the FleXScan 3.1.2 <https://sites.google.com/site/flexscansoftware/home> developed by Takahashi, Yokoyama, and Tango.
Author: Takahiro Otani, Kunihiko Takahashi
Maintainer: Takahiro Otani <otani@med.nagoya-cu.ac.jp>

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Package mlr3oml updated to version 0.2.0 with previous version 0.1.0 dated 2020-08-07

Title: Connector Between 'mlr3' and 'OpenML'
Description: Provides an interface to 'OpenML.org' to list and download machine learning data and tasks. Data and tasks can be automatically converted to 'mlr3' tasks. For a more sophisticated interface which also allows uploading experiments, see the 'OpenML' package.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Michel Lang <michellang@gmail.com>

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Package hpa updated to version 1.1.2 with previous version 1.1.1 dated 2020-07-01

Title: Distributions Hermite Polynomial Approximation
Description: Multivariate conditional and marginal densities, moments, cumulative distribution functions as well as binary choice and sample selection models based on hermite polynomial approximation which was proposed and described by A. Gallant and D. W. Nychka (1987) <doi:10.2307/1913241>.
Author: Potanin Bogdan
Maintainer: Potanin Bogdan <bogdanpotanin@gmail.com>

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Package semPower updated to version 1.1.0 with previous version 1.0.1 dated 2020-05-17

Title: Power Analyses for SEM
Description: Provides a-priori, post-hoc, and compromise power-analyses for structural equation models (SEM). Moshagen & Erdfelder (2016) <doi:10.1080/10705511.2014.950896>.
Author: Morten Moshagen
Maintainer: Morten Moshagen <morten.moshagen@uni-ulm.de>

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Package SACCR updated to version 3.0 with previous version 2.3 dated 2019-01-13

Title: SA Counterparty Credit Risk under CRR2
Description: Computes the Exposure-At-Default based on the standardized approach of CRR2 (SA-CCR). The simplified version of SA-CCR has been included, as well as the OEM methodology. Multiple trade types of all the five major asset classes are being supported including the 'Other' Exposure and, given the inheritance- based structure of the application, the addition of further trade types is straightforward. The application returns a list of trees per Counterparty and CSA after automatically separating the trades based on the Counterparty, the CSAs, the hedging sets, the netting sets and the risk factors. The basis and volatility transactions are also identified and treated in specific hedging sets whereby the corresponding penalty factors are applied. All the examples appearing on the regulatory papers (both for the margined and the un-margined workflow) have been implemented including the latest CRR2 developments.
Author: Tasos Grivas
Maintainer: Tasos Grivas <info@openriskcalculator.com>

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Package hereR updated to version 0.4.1 with previous version 0.4.0 dated 2020-07-05

Title: 'sf'-Based Interface to the 'HERE' REST APIs
Description: Interface to the 'HERE' REST APIs <https://developer.here.com/develop/rest-apis>: (1) geocode and autocomplete addresses or reverse geocode POIs using the 'Geocoder' API; (2) route directions, travel distance or time matrices and isolines using the 'Routing' API; (3) request real-time traffic flow and incident information from the 'Traffic' API; (4) find request public transport connections and nearby stations from the 'Public Transit' API; (5) request intermodal routes using the 'Intermodal Routing' API; (6) get weather forecasts, reports on current weather conditions, astronomical information and alerts at a specific location from the 'Destination Weather' API. Locations, routes and isolines are returned as 'sf' objects.
Author: Merlin Unterfinger [aut, cre] (<https://orcid.org/0000-0003-2020-2366>), Daniel Possenriede [ctb] (<https://orcid.org/0000-0002-6738-9845>, Geocode return options)
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

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Package gmvarkit updated to version 1.2.0 with previous version 1.1.3 dated 2020-03-12

Title: Estimate Gaussian Mixture Vector Autoregressive Model
Description: Unconstrained and constrained maximum likelihood estimation of structural and reduced form Gaussian mixture vector autoregressive (GMVAR) model, quantile residual tests, graphical diagnostics, simulations, forecasting, and estimation of generalized impulse response function. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2016) <doi:10.1016/j.jeconom.2016.02.012>, Savi Virolainen (2020) <arXiv:2007.04713>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

Diff between gmvarkit versions 1.1.3 dated 2020-03-12 and 1.2.0 dated 2020-08-24

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New package roahd with initial version 1.4.2
Package: roahd
Type: Package
Title: Robust Analysis of High Dimensional Data
Version: 1.4.2
Authors@R: c( person(given = "Nicholas", family = "Tarabelloni", role = "aut", email = "nicholas.tarabelloni@polimi.it"), person(given = "Ana", family = "Arribas-Gil", role = "aut", email = "aarribas@est-econ.uc3m.es"), person(given = "Francesca", family = "Ieva", role = "aut", email = "francesca.ieva@polimi.it"), person(given = "Anna Maria", family = "Paganoni", role = "aut", email = "anna.paganoni@polimi.it"), person(given = "Juan", family = "Romo", role = "aut", email = "romo@est-econ.uc3m.es"), person(given = "Francesco", family = "Palma", role = "ctb", email = "frapalma7892@gmail.com"), person(given = "Aymeric", family = "Stamm", role = c("ctb", "cre"), email = "aymeric.stamm@math.cnrs.fr", comment = c(ORCID = "0000-0002-8725-3654")))
Description: A collection of methods for the robust analysis of univariate and multivariate functional data, possibly in high-dimensional cases, and hence with attention to computational efficiency and simplicity of use. See the R Journal publication of Ieva et al. (2019) <doi:10.32614/RJ-2019-032> for an in-depth presentation of the 'roahd' package.
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: yes
Suggests: testthat, knitr, rmarkdown
Imports: scales, robustbase, magrittr, dplyr
VignetteBuilder: knitr
RoxygenNote: 7.1.1
URL: https://astamm.github.io/roahd/, https://github.com/astamm/roahd
BugReports: https://github.com/astamm/roahd/issues
Language: en-US
NeedsCompilation: no
Packaged: 2020-08-24 07:12:12 UTC; stamm-a
Author: Nicholas Tarabelloni [aut], Ana Arribas-Gil [aut], Francesca Ieva [aut], Anna Maria Paganoni [aut], Juan Romo [aut], Francesco Palma [ctb], Aymeric Stamm [ctb, cre] (<https://orcid.org/0000-0002-8725-3654>)
Maintainer: Aymeric Stamm <aymeric.stamm@math.cnrs.fr>
Repository: CRAN
Date/Publication: 2020-08-24 08:30:02 UTC

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New package packager with initial version 1.4.0
Package: packager
Title: Create, Build and Maintain Packages
Version: 1.4.0
Authors@R: person(given = "Andreas Dominik", family = "Cullmann", role = c("aut", "cre"), email = "fvafrcu@mailbox.org")
Description: Helper functions for package creation, building and maintenance. Designed to work with a build system such as 'GNU make' or package 'fakemake' to help you to conditionally work through the stages of package development (such as spell checking, linting, testing, before building and checking a package).
License: BSD_2_clause + file LICENSE
URL: https://gitlab.com/fvafrCU/packager
Depends: R (>= 3.3.0)
Imports: callr, checkmate, codetools, crayon, cyclocomp, desc, fakemake, git2r, httr, methods, pkgbuild, pkgload, rcmdcheck, remotes, rprojroot, tools, usethis, utils, whisker, whoami, withr
Suggests: cleanr, covr, devtools, digest, knitr, lintr, rmarkdown, roxygen2, RUnit, spelling, testthat
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-08-24 07:44:38 UTC; qwer
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>
Repository: CRAN
Date/Publication: 2020-08-24 08:30:09 UTC

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Package overviewR updated to version 0.0.6 with previous version 0.0.4 dated 2020-06-30

Title: Easily Extracting Information About Your Data
Description: Makes it easy to display descriptive information on a data set. Getting an easy overview of a data set by displaying and visualizing sample information in different tables (e.g., time and scope conditions). The package also provides publishable 'LaTeX' code to present the sample information.
Author: Cosima Meyer [cre, aut], Dennis Hammerschmidt [aut]
Maintainer: Cosima Meyer <cosima.meyer@gmail.com>

Diff between overviewR versions 0.0.4 dated 2020-06-30 and 0.0.6 dated 2020-08-24

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Package logmult updated to version 0.7.2 with previous version 0.7.1 dated 2019-02-13

Title: Log-Multiplicative Models, Including Association Models
Description: Functions to fit log-multiplicative models using 'gnm', with support for convenient printing, plots, and jackknife/bootstrap standard errors. For complex survey data, models can be fitted from design objects from the 'survey' package. Currently supported models include UNIDIFF (Erikson & Goldthorpe), a.k.a. log-multiplicative layer effect model (Xie), and several association models: Goodman's row-column association models of the RC(M) and RC(M)-L families with one or several dimensions; two skew-symmetric association models proposed by Yamaguchi and by van der Heijden & Mooijaart. Functions allow computing the intrinsic association coefficient (and therefore the Altham index), including via the Bayes shrinkage estimator proposed by Zhou; and the RAS/IPF/Deming-Stephan algorithm.
Author: Milan Bouchet-Valat [aut, cre], Heather Turner [ctb], Michael Friendly [ctb], Jim Lemon [cph], Gabor Csardi [cph]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>

Diff between logmult versions 0.7.1 dated 2019-02-13 and 0.7.2 dated 2020-08-24

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Package timereg updated to version 1.9.7 with previous version 1.9.6 dated 2020-07-16

Title: Flexible Regression Models for Survival Data
Description: Programs for Martinussen and Scheike (2006), `Dynamic Regression Models for Survival Data', Springer Verlag. Plus more recent developments. Additive survival model, semiparametric proportional odds model, fast cumulative residuals, excess risk models and more. Flexible competing risks regression including GOF-tests. Two-stage frailty modelling. PLS for the additive risk model. Lasso in the 'ahaz' package.
Author: Thomas Scheike with contributions from Torben Martinussen, Jeremy Silver and Klaus Holst
Maintainer: Thomas Scheike <ts@biostat.ku.dk>

Diff between timereg versions 1.9.6 dated 2020-07-16 and 1.9.7 dated 2020-08-24

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Package bigsparser updated to version 0.4.0 with previous version 0.3.1 dated 2020-07-26

Title: Sparse Matrix Format with Data on Disk
Description: Provides a sparse matrix format with data stored on disk, to be used in both R and C++. This is intended for more efficient use of sparse data in C++ and also when parallelizing, since data on disk does not need copying. Only a limited number of features will be implemented. For now, conversion can be performed from a 'dgCMatrix' or a 'dsCMatrix' from R package 'Matrix'.
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

Diff between bigsparser versions 0.3.1 dated 2020-07-26 and 0.4.0 dated 2020-08-24

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Package bigparallelr updated to version 0.2.5 with previous version 0.2.3 dated 2020-01-09

Title: Easy Parallel Tools
Description: Utility functions for easy parallelism in R. Include some reexports from other packages, utility functions for splitting and parallelizing over blocks, and choosing and setting the number of cores used.
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

Diff between bigparallelr versions 0.2.3 dated 2020-01-09 and 0.2.5 dated 2020-08-24

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