Fri, 27 Nov 2020

Package poorman updated to version 0.2.4 with previous version 0.2.3 dated 2020-11-12

Title: A Poor Man's Dependency Free Recreation of 'dplyr'
Description: A replication of key functionality from 'dplyr' and the wider 'tidyverse' using only 'base'.
Author: Nathan Eastwood [aut, cre]
Maintainer: Nathan Eastwood <nathan.eastwood@icloud.com>

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Package pct updated to version 0.7.0 with previous version 0.6.0 dated 2020-10-31

Title: Propensity to Cycle Tool
Description: Functions and example data to teach and increase the reproducibility of the methods and code underlying the Propensity to Cycle Tool (PCT), a research project and web application hosted at <https://www.pct.bike/>. For an academic paper on the methods, see Lovelace et al (2017) <doi:10.5198/jtlu.2016.862>.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Layik Hama [aut] (<https://orcid.org/0000-0003-1912-4890>), Nathanael Sheehan [ctb] (<https://orcid.org/0000-0002-2779-0976>)
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package wrProteo updated to version 1.3.0 with previous version 1.2.0 dated 2020-10-18

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Quantitative proteomics (Schubert et al 2017 <doi:10.1038/nprot.2017.040>) measurements frequently contain multiple NA values, due to physical absence of given peptides in some samples, limitations in sensitivity or other reasons. The functions provided here help to inspect graphically the data to investigate the nature of NA-values via their respective replicate measurements and to help/confirm the choice of NA-replacement by low random values. Dedicated filtering and statistical testing using the framework of package 'limma' <doi:10.18129/B9.bioc.limma> can be run, enhanced by multiple rounds of NA-replacements to provide robustness towards rare stochastic events. Multi-species samples, as frequently used in benchmark-tests (eg Navarro et al 2016 <doi:10.1038/nbt.3685>, Ramus et al 2016 <doi:10.1016/j.jprot.2015.11.011>), can be run with special options separating the data into sub-groups during normalization and testing. Subsequently, ROC curves (Hand and Till 2001 <doi:10.1023/A:1010920819831>) can be constructed to compare multiple analysis approaches.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>

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Package funtimes updated to version 7.0 with previous version 6.1 dated 2019-04-15

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

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Package DiceView updated to version 2.0-1 with previous version 2.0-0 dated 2020-07-03

Title: Methods for Visualization of Computer Experiments Design and Surrogate
Description: View 2D/3D sections, contour plots, mesh of excursion sets for computer experiments designs, surrogates or test functions.
Author: Yann Richet, Yves Deville, Clement Chevalier
Maintainer: Yann Richet <yann.richet@irsn.fr>

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Package tbm updated to version 0.3-3 with previous version 0.3-2.1 dated 2020-04-01

Title: Transformation Boosting Machines
Description: Boosting the likelihood of conditional and shift transformation models as introduced in \doi{10.1007/s11222-019-09870-4}.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package gh updated to version 1.2.0 with previous version 1.1.0 dated 2020-01-24

Title: 'GitHub' 'API'
Description: Minimal client to access the 'GitHub' 'API'.
Author: Gábor Csárdi [cre, ctb], Jennifer Bryan [aut], Hadley Wickham [aut], RStudio [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package errorlocate updated to version 0.5.1 with previous version 0.4 dated 2020-09-29

Title: Locate Errors with Validation Rules
Description: Errors in data can be located and removed using validation rules from package 'validate'.
Author: Edwin de Jonge [aut, cre] (<https://orcid.org/0000-0002-6580-4718>), Mark van der Loo [aut]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

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Package shotGroups updated to version 0.7.5.2 with previous version 0.7.5.1 dated 2019-07-14

Title: Analyze Shot Group Data
Description: Analyzes shooting data with respect to group shape, precision, and accuracy. This includes graphical methods, descriptive statistics, and inference tests using standard, but also non-parametric and robust statistical methods. Implements distributions for radial error in bivariate normal variables. Works with files exported by 'OnTarget PC/TDS', 'Silver Mountain' e-target, 'ShotMarker' e-target, or 'Taran', as well as with custom data files in text format. Supports inference from range statistics like extreme spread. Includes a set of web-based graphical user interfaces.
Author: Daniel Wollschlaeger
Maintainer: Daniel Wollschlaeger <dwoll@kuci.org>

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Permanent link

Package jpndistrict updated to version 0.3.8 with previous version 0.3.7 dated 2020-06-12

Title: Create Japanese Administration Area and Office Maps
Description: Utilizing the data that Japanese administration area provided by the National Land Numerical Information download service (<https://nlftp.mlit.go.jp/ksj/index.html>). This package provide map data is based on the Digital Map 25000 (Map Image) published by Geospatial Information Authority of Japan (Approval No.603FY2017 information usage <https://www.gsi.go.jp>).
Author: Shinya Uryu [aut, cre] (<https://orcid.org/0000-0002-0493-6186>), Geospatial Information Authority of Japan [dtc] (This package data sets, National Land numerical information by the Geographical Survey Institute with the approval of Geographical Survey Institute Head (Approval No.603FY2017 information usage))
Maintainer: Shinya Uryu <suika1127@gmail.com>

Diff between jpndistrict versions 0.3.7 dated 2020-06-12 and 0.3.8 dated 2020-11-27

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More information about jpndistrict at CRAN
Permanent link

New package transx with initial version 0.0.1
Package: transx
Title: Transform Univariate Time Series
Version: 0.0.1
Authors@R: person(given = "Kostas", family = "Vasilopoulos", role = c("aut", "cre"), email = "k.vasilopoulo@gmail.com", comment = c(ORCID = "0000-0002-9769-6395"))
Description: Univariate time series operations that follow an opinionated design. The main principle of 'transx' is to keep the number of observations the same. Operations that reduce this number have to fill the observations gap.
License: GPL-3
Imports: rlang
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/kvasilopoulos/transx
BugReports: https://github.com/kvasilopoulos/transx/issues
Suggests: dplyr, ggplot2, cli, testthat, knitr, DescTools, outliers, rmarkdown, mFilter, covr
VignetteBuilder: knitr
Language: en-US
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-11-26 15:04:28 UTC; T460p
Author: Kostas Vasilopoulos [aut, cre] (<https://orcid.org/0000-0002-9769-6395>)
Maintainer: Kostas Vasilopoulos <k.vasilopoulo@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-27 11:40:02 UTC

More information about transx at CRAN
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Package ShinyQuickStarter updated to version 1.0.2 with previous version 1.0.1 dated 2020-11-23

Title: 'RStudio' Addin for Quick Setup of ShinyDashboard Apps
Description: This 'RStudio' addin enables faster creation of the project structure and design of 'ShinyDashboard' apps. The graphical interface allows you to add certain code templates interactively. In addition to generating the basic project structure, the navigation in the app itself can also be defined or the app can be structured with modules.
Author: Leon Binder [cre, aut], Bernhard Bauer [ctb], Michael Scholz [ctb], Bernhard Daffner [ctb], Jörg Bauer [ctb]
Maintainer: Leon Binder <leon.binder@th-deg.de>

Diff between ShinyQuickStarter versions 1.0.1 dated 2020-11-23 and 1.0.2 dated 2020-11-27

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Package rAmCharts4 updated to version 1.2.0 with previous version 1.1.0 dated 2020-10-31

Title: Interface to the JavaScript Library 'amCharts 4'
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, stacked bar chart, vertical and horizontal Dumbbell chart, line chart, scatter chart, range area chart, gauge chart, and boxplot chart.
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))
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>

Diff between rAmCharts4 versions 1.1.0 dated 2020-10-31 and 1.2.0 dated 2020-11-27

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New package oxcgrt with initial version 0.1.0
Package: oxcgrt
Type: Package
Title: An Interface to the Oxford COVID-19 Government Response Tracker API
Version: 0.1.0
Authors@R: person("Ernest", "Guevarra", comment = c(ORCID = "0000-0002-4887-4415"), email = "ernest@guevarra.io", role = c("aut", "cre"))
Description: The Oxford COVID-19 Government Response Tracker (OxCGRT) tracks and compares worldwide government responses to the COVID-19 pandemic rigorously and consistently. OxCGRT makes available systematic information in a consistent way, aiding those who require information have access to it efficiently for their purposes. This package facilitates access to the OxCGRT data via its API <https://covidtracker.bsg.ox.ac.uk/> and includes functions to calculate the various OxCGRT indices in R.
License: GPL-3
Depends: R (>= 2.10)
Imports: dplyr, jsonlite, tibble, magrittr, tidyr, countrycode, stringr
Suggests: curl, covr, testthat, spelling, rvest, xml2, knitr, rmarkdown
Encoding: UTF-8
Language: en-GB
LazyData: true
URL: https://como-ph.github.io/oxcgrt/, https://github.com/como-ph/oxcgrt
BugReports: https://github.com/como-ph/oxcgrt/issues
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-11-26 13:51:08 UTC; ernest
Author: Ernest Guevarra [aut, cre] (<https://orcid.org/0000-0002-4887-4415>)
Maintainer: Ernest Guevarra <ernest@guevarra.io>
Repository: CRAN
Date/Publication: 2020-11-27 11:30:02 UTC

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Package matman updated to version 1.1.2 with previous version 1.1.1 dated 2020-11-23

Title: Material Management
Description: A set of functions, classes and methods for performing ABC and ABC/XYZ analyses, identifying overperforming, underperforming and constantly performing items, and plotting, analyzing as well as predicting the temporal development of items.
Author: Leon Binder [cre, aut], Bernhard Bauer [aut], Michael Scholz [aut]
Maintainer: Leon Binder <leon.binder@th-deg.de>

Diff between matman versions 1.1.1 dated 2020-11-23 and 1.1.2 dated 2020-11-27

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New package geodimension with initial version 1.0.0
Package: geodimension
Type: Package
Title: Definition of Geographic Dimensions
Version: 1.0.0
Authors@R: person(given = "Jose", family = "Samos", role = c("aut", "cre", "cph"), email = "jsamos@ugr.es", comment = c(ORCID = "0000-0002-4457-3439"))
Description: The geographic dimension plays a fundamental role in multidimensional systems. To define a geographic dimension in a star schema, we need a table with attributes corresponding to the levels of the dimension. Additionally, we will also need one or more geographic layers to represent the data using this dimension. The goal of this package is to support the definition of geographic dimensions from layers of geographic information related to each other. It makes it easy to define relationships between layers and obtain the necessary data from them.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LazyData: true
RoxygenNote: 7.1.1
Imports: dplyr, readr, tibble, tidyr, tidyselect, generics, sf, magrittr, rlang, pander
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-11-26 16:10:46 UTC; jsamos
Author: Jose Samos [aut, cre, cph] (<https://orcid.org/0000-0002-4457-3439>)
Maintainer: Jose Samos <jsamos@ugr.es>
Repository: CRAN
Date/Publication: 2020-11-27 11:40:06 UTC

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Package biglm updated to version 0.9-2.1 with previous version 0.9-2 dated 2020-05-26

Title: Bounded Memory Linear and Generalized Linear Models
Description: Regression for data too large to fit in memory.
Author: Thomas Lumley
Maintainer: Thomas Lumley <tlumley@u.washington.edu>

Diff between biglm versions 0.9-2 dated 2020-05-26 and 0.9-2.1 dated 2020-11-27

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New package archeofrag with initial version 0.6.0
Package: archeofrag
Type: Package
Title: Refitting and Stratigraphic Analysis in Archeology
Version: 0.6.0
Date: 2020-11-24
Authors@R: person("Sebastien", "Plutniak", email = "sebastien.plutniak@posteo.net", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6674-3806"))
Author: Sebastien Plutniak [aut, cre] (<https://orcid.org/0000-0002-6674-3806>)
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>
Description: Methods for the stratigraphic analysis of fragmented objects in archeology using "refitting" relationships between fragments scattered in stratigraphic layers. Graphs and graph theory are used to model archaeological observations. The package is mainly based on the 'igraph' package for graph analysis. Functions enable to 1) create, manipulate, and simulate fragmentation graphs, 2) measure the cohesion and admixture of stratigraphic layers, and 3) characterise the topology of a specific set of refitting relationships. An empirical dataset is also provided as an example.
License: GPL-2
Depends: RBGL, igraph
Imports: graphics, stats, grDevices, methods
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/sebastien-plutniak/archeofrag
BugReports: https://github.com/sebastien-plutniak/archeofrag/issues
NeedsCompilation: no
Packaged: 2020-11-26 16:50:20 UTC; seb
Repository: CRAN
Date/Publication: 2020-11-27 11:40:10 UTC

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Package rdhs (with last version 0.6.3) was removed from CRAN

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

2019-03-19 0.6.3
2019-02-28 0.6.2
2019-01-24 0.6.1

Permanent link
Package Qtools updated to version 1.5.3 with previous version 1.5.2 dated 2020-07-08

Title: Utilities for Quantiles
Description: Functions for unconditional and conditional quantiles. These include methods for transformation-based quantile regression, quantile-based measures of location, scale and shape, methods for quantiles of discrete variables, quantile-based multiple imputation, restricted quantile regression, and directional quantile classification. A vignette is given in Geraci (2016, The R Journal) <doi:10.32614/RJ-2016-037> and included in the package.
Author: Marco Geraci [aut, cph, cre] (<https://orcid.org/0000-0002-6311-8685>), Alessio Farcomeni [ctb] (Contributions to midrq code, <https://orcid.org/0000-0002-7104-5826>), Cinzia Viroli [ctb] (Contributions to dqc code, <https://orcid.org/0000-0002-3278-5266>)
Maintainer: Marco Geraci <marco.geraci@uniroma1.it>

Diff between Qtools versions 1.5.2 dated 2020-07-08 and 1.5.3 dated 2020-11-27

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New package iNZightRegression with initial version 1.3.0
Package: iNZightRegression
Type: Package
Title: Tools for Exploring Regression Models with 'iNZight'
Version: 1.3.0
Authors@R: c( person("Tom", "Elliott", role = c("aut", "cre"), email = "tom.elliott@auckland.ac.nz", comment = c(ORCID = "0000-0002-7815-6318")), person("Simon", "Potter", role = c("aut")), person("David", "Banks", role = "aut"), person("Danny", "Chang", role = "ctb") )
Depends: R (>= 3.6)
Imports: car, dplyr, ggplot2, ggrepel, ggtext, graphics, grDevices, grid, iNZightPlots (>= 2.12), iNZightTools (>= 1.9), magrittr, multcomp, patchwork, stats, stats4, utils
Suggests: covr, survey, survival, testthat
Description: Provides a suite of functions to use with regression models, including summaries, residual plots, and factor comparisons. Used as part of the Model Fitting module of 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions.
BugReports: https://github.com/iNZightVIT/iNZightRegression/issues
Contact: inzight_support@stat.auckland.ac.nz
URL: http://inzight.nz
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
Language: en-GB
NeedsCompilation: no
Packaged: 2020-11-25 22:29:48 UTC; tom
Author: Tom Elliott [aut, cre] (<https://orcid.org/0000-0002-7815-6318>), Simon Potter [aut], David Banks [aut], Danny Chang [ctb]
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2020-11-27 10:40:02 UTC

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New package IMEC with initial version 0.2.0
Package: IMEC
Title: Ising Model of Explanatory Coherence
Version: 0.2.0
Authors@R: c( person(given = "Maximilian", family = "Maier", role = c("aut", "cre"), email = "maximilianmaier0401@gmail.com"), person(given = "Noah", family = "van Dongen", role = c("ths"), email = "test@gmail.com"), person(given = "Denny", family = "Borsboom", role = c("ths"), email = "test@gmail.com"))
Description: Theories are one of the most important tools of science. Although psychologists discussed problems of theory in their discipline for a long time, weak theories are still widespread in most subfields. One possible reason for this is that psychologists lack the tools to systematically assess the quality of their theories. Previously a computational model for formal theory evaluation based on the concept of explanatory coherence was developed (Thagard, 1989, <doi:10.1017/S0140525X00057046>). However, there are possible improvements to this model and it is not available in software that psychologists typically use. Therefore, a new implementation of explanatory coherence based on the Ising model is available in this R-package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: IsingSampler, igraph, qgraph
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-11-25 16:13:47 UTC; Maximilian Maier
Author: Maximilian Maier [aut, cre], Noah van Dongen [ths], Denny Borsboom [ths]
Maintainer: Maximilian Maier <maximilianmaier0401@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-27 10:10:03 UTC

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New package GPP with initial version 0.1
Package: GPP
Title: Gaussian Process Projection
Version: 0.1
Authors@R: c( person("Devin P.", "Brown", email = "devinpbrown96@gmail.com", role = "aut"), person("David", "Carlson", email = "carlson.david@wustl.edu", role = c("aut", "cre")))
Description: Estimates a counterfactual using Gaussian process projection. It takes a dataframe, creates missingness in the desired outcome variable and estimates counterfactual values based on all information in the dataframe. The package writes Stan code, checks it for convergence and adds artificial noise to prevent overfitting and returns a plot of actual values and estimated counterfactual values using r-base plot.
Depends: R (>= 3.5.0), methods, rstan, parallel
LazyData: true
Encoding: UTF-8
License: GPL (>= 2)
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-11-25 14:58:45 UTC; david
Author: Devin P. Brown [aut], David Carlson [aut, cre]
Maintainer: David Carlson <carlson.david@wustl.edu>
Repository: CRAN
Date/Publication: 2020-11-27 10:20:06 UTC

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Package ffscrapr updated to version 1.2.0 with previous version 1.1.0 dated 2020-11-16

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

Diff between ffscrapr versions 1.1.0 dated 2020-11-16 and 1.2.0 dated 2020-11-27

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 ffscrapr-1.1.0/ffscrapr/R/helpers.R                                                                  |only
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 ffscrapr-1.1.0/ffscrapr/man/forget.Rd                                                                |only
 ffscrapr-1.2.0/ffscrapr/DESCRIPTION                                                                  |   16 
 ffscrapr-1.2.0/ffscrapr/MD5                                                                          |  285 ++++++----
 ffscrapr-1.2.0/ffscrapr/NAMESPACE                                                                    |   22 
 ffscrapr-1.2.0/ffscrapr/NEWS.md                                                                      |   23 
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 ffscrapr-1.2.0/ffscrapr/R/dp_import.R                                                                |   10 
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 ffscrapr-1.2.0/ffscrapr/R/flea_standings.R                                                           |only
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 ffscrapr-1.2.0/ffscrapr/R/mfl_api.R                                                                  |    2 
 ffscrapr-1.2.0/ffscrapr/R/mfl_playerscores.R                                                         |    3 
 ffscrapr-1.2.0/ffscrapr/R/mfl_schedule.R                                                             |    1 
 ffscrapr-1.2.0/ffscrapr/R/mfl_scoring.R                                                              |   12 
 ffscrapr-1.2.0/ffscrapr/R/mfl_userleagues.R                                                          |    4 
 ffscrapr-1.2.0/ffscrapr/R/sleeper_api.R                                                              |   23 
 ffscrapr-1.2.0/ffscrapr/R/sleeper_draftpicks.R                                                       |    2 
 ffscrapr-1.2.0/ffscrapr/R/sleeper_franchises.R                                                       |    2 
 ffscrapr-1.2.0/ffscrapr/R/sleeper_league.R                                                           |    6 
 ffscrapr-1.2.0/ffscrapr/R/sleeper_rosters.R                                                          |    4 
 ffscrapr-1.2.0/ffscrapr/R/sleeper_schedule.R                                                         |    2 
 ffscrapr-1.2.0/ffscrapr/R/sleeper_scoring.R                                                          |    2 
 ffscrapr-1.2.0/ffscrapr/R/sleeper_standings.R                                                        |   16 
 ffscrapr-1.2.0/ffscrapr/R/sleeper_starters.R                                                         |    2 
 ffscrapr-1.2.0/ffscrapr/R/sleeper_transactions.R                                                     |  214 ++++---
 ffscrapr-1.2.0/ffscrapr/R/sleeper_userleagues.R                                                      |   15 
 ffscrapr-1.2.0/ffscrapr/R/zzz.R                                                                      |   81 +-
 ffscrapr-1.2.0/ffscrapr/README.md                                                                    |   36 -
 ffscrapr-1.2.0/ffscrapr/build/vignette.rds                                                           |binary
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 ffscrapr-1.2.0/ffscrapr/inst/doc/mfl_basics.R                                                        |    8 
 ffscrapr-1.2.0/ffscrapr/inst/doc/mfl_basics.Rmd                                                      |   21 
 ffscrapr-1.2.0/ffscrapr/inst/doc/mfl_basics.html                                                     |  276 ++++-----
 ffscrapr-1.2.0/ffscrapr/inst/doc/mfl_getendpoint.R                                                   |    7 
 ffscrapr-1.2.0/ffscrapr/inst/doc/mfl_getendpoint.Rmd                                                 |   19 
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 ffscrapr-1.2.0/ffscrapr/inst/doc/sleeper_basics.R                                                    |   10 
 ffscrapr-1.2.0/ffscrapr/inst/doc/sleeper_basics.Rmd                                                  |   12 
 ffscrapr-1.2.0/ffscrapr/inst/doc/sleeper_basics.html                                                 |  236 ++++----
 ffscrapr-1.2.0/ffscrapr/inst/doc/sleeper_getendpoint.R                                               |   10 
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 ffscrapr-1.2.0/ffscrapr/man/dot-fn_choose_season.Rd                                                  |    2 
 ffscrapr-1.2.0/ffscrapr/man/dot-fn_drop_nulls.Rd                                                     |    2 
 ffscrapr-1.2.0/ffscrapr/man/dot-fn_set_ratelimit.Rd                                                  |    2 
 ffscrapr-1.2.0/ffscrapr/man/dot-fn_set_useragent.Rd                                                  |    2 
 ffscrapr-1.2.0/ffscrapr/man/dp_values.Rd                                                             |    2 
 ffscrapr-1.2.0/ffscrapr/man/ff_connect.Rd                                                            |    3 
 ffscrapr-1.2.0/ffscrapr/man/ff_draft.Rd                                                              |   13 
 ffscrapr-1.2.0/ffscrapr/man/ff_draftpicks.Rd                                                         |   18 
 ffscrapr-1.2.0/ffscrapr/man/ff_franchises.Rd                                                         |   16 
 ffscrapr-1.2.0/ffscrapr/man/ff_league.Rd                                                             |   16 
 ffscrapr-1.2.0/ffscrapr/man/ff_playerscores.Rd                                                       |   23 
 ffscrapr-1.2.0/ffscrapr/man/ff_rosters.Rd                                                            |   15 
 ffscrapr-1.2.0/ffscrapr/man/ff_schedule.Rd                                                           |   20 
 ffscrapr-1.2.0/ffscrapr/man/ff_scoring.Rd                                                            |   16 
 ffscrapr-1.2.0/ffscrapr/man/ff_standings.Rd                                                          |   20 
 ffscrapr-1.2.0/ffscrapr/man/ff_starters.Rd                                                           |   16 
 ffscrapr-1.2.0/ffscrapr/man/ff_transactions.Rd                                                       |   18 
 ffscrapr-1.2.0/ffscrapr/man/ff_userleagues.Rd                                                        |   13 
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 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-ff_connect.R                                             |    5 
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 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-ff_draftpicks.R                                          |   12 
 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-ff_franchises.R                                          |    8 
 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-ff_league.R                                              |    6 
 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-ff_playerscores.R                                        |    6 
 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-ff_rosters.R                                             |    6 
 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-ff_schedule.R                                            |    7 
 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-ff_scoring.R                                             |    6 
 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-ff_standings.R                                           |   12 
 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-ff_starters.R                                            |    9 
 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-ff_transactions.R                                        |   12 
 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-ff_userleagues.R                                         |   15 
 ffscrapr-1.2.0/ffscrapr/tests/testthat/test-helpers.R                                                |    2 
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 ffscrapr-1.2.0/ffscrapr/vignettes/mfl_basics.Rmd                                                     |   21 
 ffscrapr-1.2.0/ffscrapr/vignettes/mfl_getendpoint.Rmd                                                |   19 
 ffscrapr-1.2.0/ffscrapr/vignettes/sleeper_basics.Rmd                                                 |   12 
 ffscrapr-1.2.0/ffscrapr/vignettes/sleeper_getendpoint.Rmd                                            |   28 
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More information about ffscrapr at CRAN
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New package arctools with initial version 1.0.0
Package: arctools
Type: Package
Title: Processing and Physical Activity Summaries of Minute Level Activity Data
Version: 1.0.0
Authors@R: c( person("Marta", "Karas", email = "marta.karass@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5889-3970")), person("Jacek", "Urbanek", role = c("aut"), comment = c(ORCID = "0000-0002-1890-8899")), person("Jennifer", "Schrack", role = c("aut"), comment = c(ORCID = "0000-0001-9244-9267")) )
Description: Provides functions to process minute level actigraphy-measured activity counts data and extract commonly used physical activity volume and fragmentation metrics.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
RoxygenNote: 7.1.1
LazyData: true
Suggests: testthat, data.table, dplyr, knitr, rmarkdown, ggplot2, covr
Imports: lubridate, runstats
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-11-26 05:01:10 UTC; martakaras
Author: Marta Karas [aut, cre] (<https://orcid.org/0000-0001-5889-3970>), Jacek Urbanek [aut] (<https://orcid.org/0000-0002-1890-8899>), Jennifer Schrack [aut] (<https://orcid.org/0000-0001-9244-9267>)
Maintainer: Marta Karas <marta.karass@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-27 10:50:02 UTC

More information about arctools at CRAN
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Package radiant.data updated to version 1.3.12 with previous version 1.3.10 dated 2020-08-07

Title: Data Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.data versions 1.3.10 dated 2020-08-07 and 1.3.12 dated 2020-11-27

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Package MatchIt updated to version 4.0.1 with previous version 4.0.0 dated 2020-11-14

Title: Nonparametric Preprocessing for Parametric Causal Inference
Description: Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>.
Author: Daniel Ho [aut] (<https://orcid.org/0000-0002-2195-5469>), Kosuke Imai [aut] (<https://orcid.org/0000-0002-2748-1022>), Gary King [aut] (<https://orcid.org/0000-0002-5327-7631>), Elizabeth Stuart [aut] (<https://orcid.org/0000-0002-9042-8611>), Alex Whitworth [ctb], Noah Greifer [ctb, cre, aut] (<https://orcid.org/0000-0003-3067-7154>)
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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