Fri, 07 May 2021

Package ggVennDiagram updated to version 1.1.0 with previous version 1.0.7 dated 2021-04-28

Title: A 'ggplot2' Implement of Venn Diagram
Description: Easy-to-use functions to generate 2-7 sets Venn plot in publication quality. 'ggVennDiagram' plot Venn using well-defined geometry dataset and 'ggplot2'. The shapes of 2-4 sets Venn use circles and ellipses, while the shapes of 4-7 sets Venn use irregular polygons (4 has both forms), which are developed and imported from another package 'venn', authored by Adrian Dusa. We provided internal functions to integrate shape data with user provided sets data, and calculated the geometry of every regions/intersections of them, then separately plot Venn in three components: set edges, set labels, and regions. From version 1.0, it is possible to customize these components as you demand in ordinary 'ggplot2' grammar.
Author: Chun-Hui Gao [aut, cre] (<https://orcid.org/0000-0002-1445-7939>), Guangchuang Yu [ctb] (<https://orcid.org/0000-0002-6485-8781>), Adrian Dusa [ctb]
Maintainer: Chun-Hui Gao <gaospecial@gmail.com>

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Package Sojourn updated to version 1.1.0 with previous version 1.0.2 dated 2021-04-12

Title: Apply Sojourn Methods for Processing ActiGraph Accelerometer Data
Description: Provides a simple way for utilizing Sojourn methods for accelerometer processing, as detailed in Lyden K, Keadle S, Staudenmayer J, & Freedson P (2014) <doi:10.1249/MSS.0b013e3182a42a2d>, Ellingson LD, Schwabacher IJ, Kim Y, Welk GJ, & Cook DB (2016) <doi:10.1249/MSS.0000000000000915>, and Hibbing PR, Ellingson LD, Dixon PM, & Welk GJ (2018) <doi:10.1249/MSS.0000000000001486>.
Author: Paul R. Hibbing [aut, cre], Kate Lyden [aut], Isaac J. Schwabacher [aut]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>

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Package OncoBayes2 updated to version 0.7-0 with previous version 0.6-5 dated 2020-05-07

Title: Bayesian Logistic Regression for Oncology Dose-Escalation Trials
Description: Bayesian logistic regression model with optional EXchangeability-NonEXchangeability parameter modelling for flexible borrowing from historical or concurrent data-sources. The safety model can guide dose-escalation decisions for adaptive oncology Phase I dose-escalation trials which involve an arbitrary number of drugs. Please refer to Neuenschwander et al. (2008) <doi:10.1002/sim.3230> and Neuenschwander et al. (2016) <doi:10.1080/19466315.2016.1174149> for details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Lukas A. Widmer [aut], Andrew Bean [aut], Trustees of Columbia University [cph] (R/stanmodels.R, configure, configure.win)
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

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Package GeoMongo updated to version 1.0.2 with previous version 1.0.1 dated 2017-09-09

Title: Geospatial Queries Using 'PyMongo'
Description: Utilizes methods of the 'PyMongo' 'Python' library to initialize, insert and query 'GeoJson' data (see <https://github.com/mongodb/mongo-python-driver> for more information on 'PyMongo'). Furthermore, it allows the user to validate 'GeoJson' objects and to use the console for 'MongoDB' (bulk) commands. The 'reticulate' package provides the 'R' interface to 'Python' modules, classes and functions.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package simstandard updated to version 0.6.3 with previous version 0.6.2 dated 2021-01-21

Title: Generate Standardized Data
Description: Creates simulated data from structural equation models with standardized loading. Data generation methods are described in Schneider (2013) <doi:10.1177/0734282913478046>.
Author: W. Joel Schneider [aut, cre] (<https://orcid.org/0000-0002-8393-5316>)
Maintainer: W. Joel Schneider <w.joel.schneider@gmail.com>

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Package ropenblas updated to version 0.2.10 with previous version 0.2.9 dated 2021-02-16

Title: Download, Compile and Link 'OpenBLAS' Library with R
Description: The 'ropenblas' package (<https://prdm0.github.io/ropenblas/>) is useful for users of any 'GNU/Linux' distribution. It will be possible to download, compile and link the 'OpenBLAS' library (<https://www.openblas.net/>) with the R language, always by the same procedure, regardless of the 'GNU/Linux' distribution used. With the 'ropenblas' package it is possible to download, compile and link the latest version of the 'OpenBLAS' library even the repositories of the 'GNU/Linux' distribution used do not include the latest versions of 'OpenBLAS'. If of interest, older versions of the 'OpenBLAS' library may be considered. Linking R with an optimized version of 'BLAS' (<http://www.netlib.org/blas/>) may improve the computational performance of R code. The 'OpenBLAS' library is an optimized implementation of 'BLAS' that can be easily linked to R with the 'ropenblas' package.
Author: Pedro Rafael D. Marinho [aut, cre] (<https://orcid.org/0000-0003-1591-8300>)
Maintainer: Pedro Rafael D. Marinho <pedro.rafael.marinho@gmail.com>

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Package CSGo updated to version 0.6.7 with previous version 0.5.2 dated 2021-03-27

Title: Collecting Counter Strike Global Offensive Data
Description: An implementation of calls designed to collect and organize in an easy way the data from the Steam API specifically for the Counter-Strike Global Offensive Game (CS Go) <https://developer.valvesoftware.com/wiki/Steam_Web_API>.
Author: Adson Costanzi [aut, cre] (<https://orcid.org/0000-0002-5210-2952>), Rodrigo Fontoura [aut] (<https://orcid.org/0000-0002-8156-3424>)
Maintainer: Adson Costanzi <adsoncostanzi32@gmail.com>

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Package RGF updated to version 1.0.8 with previous version 1.0.7 dated 2021-03-16

Title: Regularized Greedy Forest
Description: Regularized Greedy Forest wrapper of the 'Regularized Greedy Forest' <https://github.com/RGF-team/rgf/tree/master/python-package> 'python' package, which also includes a Multi-core implementation (FastRGF) <https://github.com/RGF-team/rgf/tree/master/FastRGF>.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>), Ryosuke Fukatani [cph] (Author of the python wrapper of the 'Regularized Greedy Forest' machine learning algorithm), Nikita Titov [cph] (Author of the python wrapper of the 'Regularized Greedy Forest' machine learning algorithm), Tong Zhang [cph] (Author of the 'Regularized Greedy Forest' and of the Multi-core implementation of Regularized Greedy Forest machine learning algorithm), Rie Johnson [cph] (Author of the 'Regularized Greedy Forest' machine learning algorithm)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package PELVIS updated to version 2.0.3 with previous version 2.0.2 dated 2020-06-25

Title: Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae
Description: An R-Shiny application implementing a method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits <doi:10.1002/ajpa.23855>.
Author: Frédéric Santos [aut, cre] (<https://orcid.org/0000-0003-1445-3871>), Élodie Bernardeau [ctb]
Maintainer: Frédéric Santos <frederic.santos@u-bordeaux.fr>

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Package fdasrvf updated to version 1.9.6 with previous version 1.9.4 dated 2020-10-09

Title: Elastic Functional Data Analysis
Description: Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 <arXiv:1103.3817> and Tucker et al., 2014 <DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.
Author: J. Derek Tucker <jdtuck@sandia.gov>
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

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Package ecm updated to version 6.2.0 with previous version 6.1.0 dated 2021-04-23

Title: Build Error Correction Models
Description: Functions for easy building of error correction models (ECM) for time series regression.
Author: Gaurav Bansal
Maintainer: Gaurav Bansal <gaurbans@gmail.com>

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Package solvebio updated to version 2.11.0 with previous version 2.10.1 dated 2021-03-10

Title: The Official SolveBio API Client
Description: R language bindings for SolveBio's API. SolveBio is a biomedical knowledge hub that enables life science organizations to collect and harmonize the complex, disparate "multi-omic" data essential for today's R&D and BI needs. For more information, visit <https://www.solvebio.com>.
Author: David Caplan
Maintainer: David Caplan <dcaplan@solvebio.com>

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Package settings updated to version 0.2.7 with previous version 0.2.4 dated 2015-10-27

Title: Software Option Settings Manager for R
Description: Provides option settings management that goes beyond R's default 'options' function. With this package, users can define their own option settings manager holding option names, default values and (if so desired) ranges or sets of allowed option values that will be automatically checked. Settings can then be retrieved, altered and reset to defaults with ease. For R programmers and package developers it offers cloning and merging functionality which allows for conveniently defining global and local options, possibly in a multilevel options hierarchy. See the package vignette for some examples concerning functions, S4 classes, and reference classes. There are convenience functions to reset par() and options() to their 'factory defaults'.
Author: Mark van der Loo
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package nmslibR updated to version 1.0.5 with previous version 1.0.4 dated 2020-03-08

Title: Non Metric Space (Approximate) Library
Description: A Non-Metric Space Library ('NMSLIB' <https://github.com/nmslib/nmslib>) wrapper, which according to the authors "is an efficient cross-platform similarity search library and a toolkit for evaluation of similarity search methods. The goal of the 'NMSLIB' <https://github.com/nmslib/nmslib> Library is to create an effective and comprehensive toolkit for searching in generic non-metric spaces. Being comprehensive is important, because no single method is likely to be sufficient in all cases. Also note that exact solutions are hardly efficient in high dimensions and/or non-metric spaces. Hence, the main focus is on approximate methods". The wrapper also includes Approximate Kernel k-Nearest-Neighbor functions based on the 'NMSLIB' <https://github.com/nmslib/nmslib> 'Python' Library.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>), B. Naidan [cph] (Author of the Non-Metric Space Library (NMSLIB)), L. Boytsov [cph] (Author of the Non-Metric Space Library (NMSLIB)), Yu. Malkov [cph] (Author of the Non-Metric Space Library (NMSLIB)), B. Frederickson [cph] (Author of the Non-Metric Space Library (NMSLIB)), D. Novak [cph] (Author of the Non-Metric Space Library (NMSLIB))
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package covidregionaldata updated to version 0.9.1 with previous version 0.9.0 dated 2021-04-24

Title: Subnational Data for the COVID-19 Outbreak
Description: An interface to subnational and national level COVID-19 data. For all countries supported, this includes a daily time-series of cases. Wherever available we also provide data on deaths, hospitalisations, and tests. National level data is also supported using a range of data sources as well as line list data and links to intervention data sets.
Author: Sam Abbott [aut, cre] (<https://orcid.org/0000-0001-8057-8037>), Katharine Sherratt [aut] (<https://orcid.org/0000-0003-2049-3423>), Joe Palmer [aut], Richard Martin-Nielsen [aut] (https://github.com/RichardMN), Jonnie Bevan [aut], Hamish Gibbs [aut] (<https://orcid.org/0000-0003-4413-453X>), Sophie Meakin [ctb], Joel Hellewell [ctb] (<https://orcid.org/0000-0003-2683-0849>), Patrick Barks [ctb], Paul Campbell [ctb], Flavio Finger [ctb] (<https://orcid.org/0000-0002-8613-5170>), Richard Boyes [ctb] (https://github.com/rboyes), Hugo Gruson [ctb] (<https://orcid.org/0000-0002-4094-1476>), Sebastian Funk [aut]
Maintainer: Sam Abbott <sam.abbott@lshtm.ac.uk>

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Package cherry updated to version 0.6-14 with previous version 0.6-13 dated 2019-09-20

Title: Multiple Testing Methods for Exploratory Research
Description: Provides an alternative approach to multiple testing by calculating a simultaneous upper confidence bounds for the number of true null hypotheses among any subset of the hypotheses of interest, using the methods of Goeman and Solari (2011) <doi:10.1214/11-STS356>.
Author: Jelle Goeman, Aldo Solari, Rosa Meijer
Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>

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Package BiocManager updated to version 1.30.13 with previous version 1.30.12 dated 2021-03-28

Title: Access the Bioconductor Project Package Repository
Description: A convenient tool to install and update Bioconductor packages.
Author: Martin Morgan [aut] (<https://orcid.org/0000-0002-5874-8148>), Marcel Ramos [ctb, cre] (<https://orcid.org/0000-0002-3242-0582>)
Maintainer: Marcel Ramos <marcel.ramos@roswellpark.org>

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New package WienR with initial version 0.1-9
Package: WienR
Version: 0.1-9
Title: Derivatives of the Diffusion Density and Cumulative Distribution Function
Authors@R: c(person("Raphael", "Hartmann", email = "raphael.hartmann@protonmail.com", role = c("aut", "cre")), person("Karl C.", "Klauer", email="christoph.klauer@psychologie.uni-freiburg.de", role=c("cph", "aut", "ctb", "ths")), person("Steven G.", "Johnson", email="stevenj@math.mit.edu", role=c("ctb")), person("Jean M.", "Linhart", email="jlinhart@stata.com", role=c("ctb")), person("Brian", "Gough", role=c("ctb")), person("Gerard", "Jungman", role=c("ctb")), person("Rudolf", "Schuerer", role=c("ctb")), person("Przemyslaw", "Sliwa", role=c("ctb")), person("Jason H.", "Stover", role=c("ctb")))
Author: Raphael Hartmann [aut, cre], Karl C. Klauer [cph, aut, ctb, ths], Steven G. Johnson [ctb], Jean M. Linhart [ctb], Brian Gough [ctb], Gerard Jungman [ctb], Rudolf Schuerer [ctb], Przemyslaw Sliwa [ctb], Jason H. Stover [ctb]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>
Depends: R (>= 4.0.0)
NeedsCompilation: yes
Description: Calculate the partial derivative of the first-passage time diffusion probability density function (PDF) and cumulative distribution function (CDF) with respect to the first-passage time t (only for PDF), the upper barrier a, the drift rate v, the relative starting point w, the non-decision time t0, the inter-trial variability of the drift rate sv, the inter-trial variability of the rel. starting point sw, and the inter-trial variability of the non-decision time st0. In addition the PDF and CDF themselves are also provided. Most calculations are done on the logarithmic scale to make it more stable. For the numerical integration we used the C library cubature by Johnson, S. G. (2005-2013) <https://github.com/stevengj/cubature>. Numerical integration is required whenever sv, sw, and/or st0 is not zero. Note that numerical integration reduces speed of the computation.
License: GPL (>= 2)
Encoding: UTF-8
Packaged: 2021-05-07 11:04:47 UTC; fluffy
Repository: CRAN
Date/Publication: 2021-05-07 13:10:02 UTC

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Package iBreakDown updated to version 2.0.1 with previous version 1.3.1 dated 2020-07-29

Title: Model Agnostic Instance Level Variable Attributions
Description: Model agnostic tool for decomposition of predictions from black boxes. Supports additive attributions and attributions with interactions. The Break Down Table shows contributions of every variable to a final prediction. The Break Down Plot presents variable contributions in a concise graphical way. This package works for classification and regression models. It is an extension of the 'breakDown' package (Staniak and Biecek 2018) <doi:10.32614/RJ-2018-072>, with new and faster strategies for orderings. It supports interactions in explanations and has interactive visuals (implemented with 'D3.js' library). The methodology behind is described in the 'iBreakDown' article (Gosiewska and Biecek 2019) <arXiv:1903.11420> This package is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre] (<https://orcid.org/0000-0001-8423-1823>), Alicja Gosiewska [aut] (<https://orcid.org/0000-0001-6563-5742>), Hubert Baniecki [aut] (<https://orcid.org/0000-0001-6661-5364>), Adam Izdebski [aut], Dariusz Komosinski [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between iBreakDown versions 1.3.1 dated 2020-07-29 and 2.0.1 dated 2021-05-07

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 iBreakDown-2.0.1/iBreakDown/MD5                                              |   70 ++---
 iBreakDown-2.0.1/iBreakDown/NEWS.md                                          |    5 
 iBreakDown-2.0.1/iBreakDown/R/break_down.R                                   |    2 
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 iBreakDown-2.0.1/iBreakDown/R/describe_breakdown.R                           |    2 
 iBreakDown-2.0.1/iBreakDown/R/local_attributions.R                           |    2 
 iBreakDown-2.0.1/iBreakDown/R/local_interactions.R                           |    2 
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 iBreakDown-2.0.1/iBreakDown/R/plotD3_shap.R                                  |    9 
 iBreakDown-2.0.1/iBreakDown/R/plot_break_down.R                              |    9 
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 iBreakDown-2.0.1/iBreakDown/R/print_break_down.R                             |    2 
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Package oxcovid19 (with last version 0.1.2) was removed from CRAN

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

2020-10-29 0.1.2
2020-08-14 0.1.1
2020-07-16 0.1.0

Permanent link
New package SpatialKWD with initial version 0.4.0
Package: SpatialKWD
Title: Spatial KWD for Large Spatial Maps
Version: 0.4.0
Date: 2021-05-07
Author: Stefano Gualandi [aut, cre]
Authors@R: c(person("Stefano", "Gualandi", role = c("aut", "cre"), email = "stefano.gualandi@gmail.com") )
Maintainer: Stefano Gualandi <stefano.gualandi@gmail.com>
Description: Contains efficient implementations of Discrete Optimal Transport algorithms for the computation of Kantorovich-Wasserstein distances between pairs of large spatial maps (Bassetti, Gualandi, Veneroni (2020), <doi:10.1137/19M1261195>). All the algorithms are based on an ad-hoc implementation of the Network Simplex algorithm. The package has four main helper functions: compareOneToOne() (to compare two spatial maps), compareOneToMany() (to compare a reference map with a list of other maps), compareAll() (to compute a matrix of distances between a list of maps), and focusArea() (to compute the KWD distance within a focus area). In non-convex maps, the helper functions first build the convex-hull of the input bins and pad the weights with zeros.
License: EUPL (>= 1.2)
Imports: methods, Rcpp
SystemRequirements: C++11
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-05-07 07:57:24 UTC; stegua
Repository: CRAN
Date/Publication: 2021-05-07 12:50:02 UTC

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New package qch with initial version 1.0.0
Package: qch
Title: Query Composed Hypotheses
Version: 1.0.0
Authors@R: person(given = "Tristan", family = "Mary-Huard", role = c("aut", "cre"), email = "tristan.mary-huard@agroparistech.fr", comment = c(ORCID = "0000-0002-3839-9067"))
Description: Provides functions for the joint analysis of K sets of p-values obtained for a same list of items. This joint analysis is performed by querying a composed hypothesis, i.e. an arbitrary complex combination of simple hypotheses, as described in Mary-Huard et al. (2021) <arXiv:2104.14601>. The null distribution corresponding to the composed hypothesis of interest is obtained by fitting non-parametric mixtures models (one for each of the simple hypothesis of the complex combination). Type I error rate control is achieved through Bayesian False Discovery Rate control. The 3 main functions of the package GetHinfo(), qch.fit() and qch.test() correspond to the 3 steps for querying a composed hypothesis (composed H0/H1 formulation, inferring the null distribution and testing the null hypothesis).
License: GPL-3
Depends: R (>= 2.10)
Imports: graphics, ks, mclust, stats
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-06 13:12:40 UTC; dsi
Author: Tristan Mary-Huard [aut, cre] (<https://orcid.org/0000-0002-3839-9067>)
Maintainer: Tristan Mary-Huard <tristan.mary-huard@agroparistech.fr>
Repository: CRAN
Date/Publication: 2021-05-07 12:10:02 UTC

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New package hakaiApi with initial version 1.0.0
Package: hakaiApi
Title: Authenticated HTTP Request Client for the 'Hakai' API
Version: 1.0.0
Authors@R: c(person(given = "Taylor", family = "Denouden", role = c("aut", "cre"), email = "taylor.denouden@hakai.org"), person(given = "Brett", family = "Johnson", role = "aut", email = "brett.johnson@hakai.org"), person(given = "Nate", family = "Rosenstock", role = "ctb", email = "nate.rosenstock@hakai.org"), person(given = "Chris", family = "Davis", role = "ctb", email = "chris.davis@hakai.org"))
Description: Initializes a class that obtains API credentials and provides a method to use those credentials to make GET requests to the 'Hakai' API server. Usage instructions are documented at <https://hakaiinstitute.github.io/hakai-api/>.
License: MIT + file LICENSE
URL: https://github.com/HakaiInstitute/hakai-api-client-r
BugReports: https://github.com/HakaiInstitute/hakai-api-client-r/issues
Depends: R (>= 3.3.0)
Imports: httr, R6, readr, tibble
Suggests: knitr, markdown, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-CA
NeedsCompilation: no
Packaged: 2021-05-06 16:39:01 UTC; taylor
Author: Taylor Denouden [aut, cre], Brett Johnson [aut], Nate Rosenstock [ctb], Chris Davis [ctb]
Maintainer: Taylor Denouden <taylor.denouden@hakai.org>
Repository: CRAN
Date/Publication: 2021-05-07 12:10:05 UTC

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New package geysertimes with initial version 0.1.6
Package: geysertimes
Title: Geyser Data from GeyserTimes.org
Version: 0.1.6
Imports: jsonlite, lubridate, rappdirs, readr, tools, utils
Suggests: curl, dplyr, knitr, rmarkdown
Authors@R: person(given = "Stephen", family = "Kaluzny", role = c("aut", "cre"), email = "spkaluzny@gmail.com")
Description: Download geyser eruption and observation data from the GeyserTimes site (<https://geysertimes.org>) and optionally store it locally. The vignette shows a simple analysis of downloading, accessing, and summarizing the data.
License: MIT + file LICENSE
URL: https://github.com/geysertimes/geysertimes-r-package
BugReports: https://github.com/geysertimes/geysertimes-r-package/issues
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-05-06 22:16:39 UTC; spk
Author: Stephen Kaluzny [aut, cre]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-07 12:40:02 UTC

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New package ttt with initial version 1.0
Package: ttt
Version: 1.0
Date: 2021-05-06
Title: The Table Tool
Authors@R: person("Benjamin", "Rich", role=c("aut", "cre"), email="mail@benjaminrich.net")
URL: https://github.com/benjaminrich/ttt
BugReports: https://github.com/benjaminrich/ttt/issues
Description: Create structured, formatted HTML tables of in a flexible and convenient way.
License: GPL-3
Imports: stats,Formula,knitr,htmltools
Suggests: rmarkdown,table1,magrittr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-06 12:28:03 UTC; Ben
Author: Benjamin Rich [aut, cre]
Maintainer: Benjamin Rich <mail@benjaminrich.net>
Repository: CRAN
Date/Publication: 2021-05-07 11:50:02 UTC

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Package insight updated to version 0.14.0 with previous version 0.13.2 dated 2021-04-01

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Mattan S. Ben-Shachar [aut, ctb] (<https://orcid.org/0000-0002-4287-4801>), Brenton M. Wiernik [aut] (<https://orcid.org/0000-0001-9560-6336>, @bmwiernik)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between insight versions 0.13.2 dated 2021-04-01 and 0.14.0 dated 2021-05-07

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Package eaf updated to version 2.1 with previous version 2.0 dated 2021-02-08

Title: Plots of the Empirical Attainment Function
Description: Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization. M. López-Ibáñez, L. Paquete, and T. Stützle (2010) <doi:10.1007/978-3-642-02538-9_9>.
Author: Manuel López-Ibáñez [aut, cre] (<https://orcid.org/0000-0001-9974-1295>), Marco Chiarandini [aut], Carlos Fonseca [aut], Luís Paquete [aut], Thomas Stützle [aut], Mickaël Binois [ctb]
Maintainer: Manuel López-Ibáñez <manuel.lopez-ibanez@manchester.ac.uk>

Diff between eaf versions 2.0 dated 2021-02-08 and 2.1 dated 2021-05-07

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Package DCEtool updated to version 0.1.1 with previous version 0.0.1 dated 2021-04-21

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

Diff between DCEtool versions 0.0.1 dated 2021-04-21 and 0.1.1 dated 2021-05-07

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New package hypoRF with initial version 1.0.0
Package: hypoRF
Title: Random Forest Two-Sample Tests
Version: 1.0.0
Author: Hediger Simon, Loris Michel, Jeffrey Naef
Maintainer: Hediger Simon <simon.hediger@uzh.ch>
Description: An implementation of Random Forest-based two-sample tests as introduced in Hediger & Michel & Naef (2020) <arXiv:1903.06287>.
License: GPL-3
Imports: stats, ranger
Encoding: UTF-8
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-05-06 09:33:01 UTC; loris
Repository: CRAN
Date/Publication: 2021-05-07 09:50:02 UTC

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New package D2MCS with initial version 1.0.0
Package: D2MCS
Title: Data Driving Multiple Classifier System
Version: 1.0.0
Authors@R: c(person(given = "David", family = "Ruano-Ordás", role = c("aut","ctb"), email = "drordas@uvigo.es"), person(given = "Miguel", family = "Ferreiro-Díaz", role = c("aut","cre"), email = "miguel.ferreiro.diaz@gmail.com"), person(given = "José Ramón", family = "Méndez", role = c("aut","ctb"), email = "moncho.mendez@uvigo.es"), person(given = "University of Vigo", role = c("cph")))
Description: Provides a novel framework to able to automatically develop and deploy an accurate Multiple Classifier System based on the feature-clustering distribution achieved from an input dataset. 'D2MCS' was developed focused on four main aspects: (i) the ability to determine an effective method to evaluate the independence of features, (ii) the identification of the optimal number of feature clusters, (iii) the training and tuning of ML models and (iv) the execution of voting schemes to combine the outputs of each classifier comprising the Multiple Classifier System.
Date: 2021-05-05
License: GPL-3
URL: https://github.com/drordas/D2MCS
BugReports: https://github.com/drordas/D2MCS/issues
Depends: R (>= 4.0)
Imports: caret, devtools, dplyr, FSelector, ggplot2, ggrepel, gridExtra, infotheo, mccr, mltools, ModelMetrics, questionr, recipes, R6, tictoc, varhandle
Suggests: grDevices, knitr, rmarkdown, testthat (>= 3.0.2)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-05 19:11:47 UTC; Maite
Author: David Ruano-Ordás [aut, ctb], Miguel Ferreiro-Díaz [aut, cre], José Ramón Méndez [aut, ctb], University of Vigo [cph]
Maintainer: Miguel Ferreiro-Díaz <miguel.ferreiro.diaz@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-07 09:30:03 UTC

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Package zcurve updated to version 1.0.9 with previous version 1.0.8 dated 2021-01-17

Title: An Implementation of Z-Curves
Description: An implementation of z-curves - a method for estimating expected discovery and replicability rates on the bases of test-statistics of published studies. The package provides functions for fitting the new density and EM version (Bartoš & Schimmack, 2020, <doi:10.31234/osf.io/urgtn>) as well as the original density z-curve (Brunner & Schimmack, 2020, <doi:10.15626/MP.2018.874>). Furthermore, the package provides summarizing and plotting functions for the fitted z-curve objects. See the aforementioned articles for more information about the z-curves, expected discovery and replicability rates, validation studies, and limitations.
Author: František Bartoš [aut, cre], Ulrich Schimmack [aut]
Maintainer: František Bartoš <f.bartos96@gmail.com>

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New package vasicekreg with initial version 1.0.0
Package: vasicekreg
Title: Regression Modeling Using Vasicek Distribution
Version: 1.0.0
Date: 2021-05-01
Authors@R: c(person(given = "Josmar", family = "Mazucheli", role = c("aut", "cre"), email = "jmazucheli@gmail.com"), person(given = "Bruna", family = "Alves", role = "ctb", email = "pg402900@uem.br"))
Author: Josmar Mazucheli [aut, cre], Bruna Alves [ctb]
Maintainer: Josmar Mazucheli <jmazucheli@gmail.com>
Description: Vasicek density, cumulative distribution, quantile functions and random deviate generation of Vasicek distribution. In addition, there are two functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005, <doi:10.1111/j.1467-9876.2005.00510.x>). Some functions are written in C++ using 'Rcpp', developed by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>).
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: yes
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp, stats, gamlss, gamlss.dist
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.6)
NeedsCompilation: yes
Packaged: 2021-05-05 17:28:59 UTC; jmazucheli
Repository: CRAN
Date/Publication: 2021-05-07 08:50:02 UTC

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Package treasuryTR updated to version 0.1.3 with previous version 0.1.2 dated 2021-04-14

Title: Generate Treasury Total Returns from Yield Data
Description: Generate Total Returns (TR) from bond yield data with fixed maturity, e.g. reported treasury yields. The generated TR series are very close to alternative series that can be purchased (e.g. CRSP, Bloomberg), suggesting they are a high-quality alternative for those, see Swinkels (2019) <doi:10.3390/data4030091>.
Author: Martin Geissmann [aut, cre]
Maintainer: Martin Geissmann <mg@econovo.ch>

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Package SpatialBSS updated to version 0.10-0 with previous version 0.9-0 dated 2020-11-04

Title: Blind Source Separation for Multivariate Spatial Data
Description: Blind source separation for multivariate spatial data based on simultaneous/joint diagonalization of local covariance matrices. This package is an implementation of the methods described in Bachoc, Genton, Nordhausen, Ruiz-Gazen and Virta (2020) <doi:10.1093/biomet/asz079>.
Author: Christoph Muehlmann [aut, cre] (<https://orcid.org/0000-0001-7330-8434>), Klaus Nordhausen [aut] (<https://orcid.org/0000-0002-3758-8501>), Joni Virta [aut] (<https://orcid.org/0000-0002-2150-2769>)
Maintainer: Christoph Muehlmann <christoph.muehlmann@tuwien.ac.at>

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Package psidR updated to version 2.1 with previous version 2.0 dated 2020-02-26

Title: Build Panel Data Sets from PSID Raw Data
Description: Makes it easy to build panel data in wide format from Panel Survey of Income Dynamics ('PSID') delivered raw data. Downloads data directly from the PSID server using the 'SAScii' package. 'psidR' takes care of merging data from each wave onto a cross-period index file, so that individuals can be followed over time. The user must specify which years they are interested in, and the 'PSID' variable names (e.g. ER21003) for each year (they differ in each year). The package offers helper functions to retrieve variable names from different waves. There are different panel data designs and sample subsetting criteria implemented ("SRC", "SEO", "immigrant" and "latino" samples).
Author: Florian Oswald
Maintainer: Florian Oswald <florian.oswald@gmail.com>

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Package ipmisc updated to version 6.0.2 with previous version 6.0.0 dated 2021-02-13

Title: Miscellaneous Functions for Data Cleaning and Analysis
Description: Provides functions needed for data cleaning and formatting and forms data cleaning and wrangling backend for the following packages: 'ggstatsplot', 'pairwiseComparisons', and 'statsExpressions'.
Author: Indrajeet Patil [aut, cre, cph] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package fuzzywuzzyR updated to version 1.0.4 with previous version 1.0.3 dated 2018-02-26

Title: Fuzzy String Matching
Description: Fuzzy string matching implementation of the 'fuzzywuzzy' <https://github.com/seatgeek/fuzzywuzzy> 'python' package. It uses the Levenshtein Distance <https://en.wikipedia.org/wiki/Levenshtein_distance> to calculate the differences between sequences.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>), SeatGeek Inc [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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New package CSIndicators with initial version 0.0.1
Package: CSIndicators
Title: Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions
Version: 0.0.1
Authors@R: c( person("Nuria", "Perez-Zanon", , "nuria.perez@bsc.es", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8568-3071")), person("Chou", "Chihchung", ,"chihchung.chou@bsc.es", role = "aut"), person("Llorenç", "Lledó", , "llorenc.lledo@bsc.es", role = "aut"), person("González-Reviriego", "Nube", , "nube.gonzalez@bsc.es", role = "ctb"), person("Marcos", "Raül", , "raul.marcos@bsc.es", role = "ctb"), person("Palma", "Lluis", , "lluis.palma@bsc.es", role = "ctb"), person("BSC-CNS", role = "cph"))
Description: Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management…). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package was developed in the context of H2020 MED-GOLD (776467) and S2S4E (776787) projects. Lledó et al. (2019) <doi:10.1016/j.renene.2019.04.135>.
Depends: R (>= 3.6.0)
Imports: multiApply (>= 2.1.1), s2dv, stats, ClimProjDiags
Suggests: testthat, CSTools, knitr, markdown, rmarkdown
VignetteBuilder: knitr
License: Apache License 2.0
URL: https://earth.bsc.es/gitlab/es/csindicators/
BugReports: https://earth.bsc.es/gitlab/es/csindicators/-/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-05 15:27:12 UTC; nperez
Author: Nuria Perez-Zanon [aut, cre] (<https://orcid.org/0000-0001-8568-3071>), Chou Chihchung [aut], Llorenç Lledó [aut], González-Reviriego Nube [ctb], Marcos Raül [ctb], Palma Lluis [ctb], BSC-CNS [cph]
Maintainer: Nuria Perez-Zanon <nuria.perez@bsc.es>
Repository: CRAN
Date/Publication: 2021-05-07 08:40:03 UTC

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Package cocorresp updated to version 0.4-3 with previous version 0.4-1 dated 2019-12-19

Title: Co-Correspondence Analysis Methods
Description: Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix to another data matrix. More specifically, CoCA maximises the weighted covariance between the weighted averaged species scores of one community and the weighted averaged species scores of another community. CoCA attempts to find patterns that are common to both communities.
Author: Original Matlab routines by C.J.F. ter Braak and A.P. Schaffers. R port by Gavin L. Simpson. Function simpls based on simpls.fit (package pls) by Ron Wehrens and Bjorn-Helge Mevik.
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

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Package simplevis updated to version 3.1.0 with previous version 3.0.0 dated 2021-04-30

Title: Make 'ggplot2' and 'leaflet' Visualisation Easier
Description: Wrapper functions to make 'ggplot2' and 'leaflet' visualisation easier and prettier.
Author: David Hodge [aut, cre] (<https://orcid.org/0000-0002-3868-7501>), Statistics New Zealand [cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package gamlr updated to version 1.13-7 with previous version 1.13-6 dated 2020-06-08

Title: Gamma Lasso Regression
Description: The gamma lasso algorithm provides regularization paths corresponding to a range of non-convex cost functions between L0 and L1 norms. As much as possible, usage for this package is analogous to that for the glmnet package (which does the same thing for penalization between L1 and L2 norms). For details see: Taddy (2017 JCGS), 'One-Step Estimator Paths for Concave Regularization', <arXiv:1308.5623>.
Author: Matt Taddy <mataddy@gmail.com>
Maintainer: Matt Taddy <mataddy@gmail.com>

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Package ENMTools updated to version 1.0.4 with previous version 1.0.3 dated 2021-04-02

Title: Analysis of Niche Evolution using Niche and Distribution Models
Description: Description: Tools for constructing niche models and analyzing patterns of niche evolution. Acts as an interface for many popular modeling algorithms, and allows users to conduct Monte Carlo tests to address basic questions in evolutionary ecology and biogeography. Warren, D.L., R.E. Glor, and M. Turelli (2008) <doi:10.1111/j.1558-5646.2008.00482.x> Glor, R.E., and D.L. Warren (2011) <doi:10.1111/j.1558-5646.2010.01177.x> Warren, D.L., R.E. Glor, and M. Turelli (2010) <doi:10.1111/j.1600-0587.2009.06142.x> Cardillo, M., and D.L. Warren (2016) <doi:10.1111/geb.12455> D.L. Warren, L.J. Beaumont, R. Dinnage, and J.B. Baumgartner (2019) <doi:10.1111/ecog.03900>.
Author: Dan Warren [aut, cre] (<https://orcid.org/0000-0002-8747-2451>), Nick Matzke [ctb], Marcel Cardillo [ctb], John Baumgartner [ctb], Linda Beaumont [ctb], Nicholas Huron [ctb], Marianna Simoes [ctb], Teresa Iglesias [ctb], Russell Dinnage [aut] (<https://orcid.org/0000-0003-0846-2819>)
Maintainer: Dan Warren <dan.l.warren@gmail.com>

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Package rmarkdown updated to version 2.8 with previous version 2.7 dated 2021-02-19

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Jonathan McPherson [aut], Javier Luraschi [aut], Kevin Ushey [aut], Aron Atkins [aut], Hadley Wickham [aut], Joe Cheng [aut], Winston Chang [aut], Richard Iannone [aut] (<https://orcid.org/0000-0003-3925-190X>), Andrew Dunning [ctb] (<https://orcid.org/0000-0003-0464-5036>), Atsushi Yasumoto [ctb, cph] (<https://orcid.org/0000-0002-8335-495X>, Number sections Lua filter), Barret Schloerke [ctb], Carson Sievert [ctb] (<https://orcid.org/0000-0002-4958-2844>), Christophe Dervieux [ctb], Devon Ryan [ctb] (<https://orcid.org/0000-0002-8549-0971>), Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Jeff Allen [ctb], JooYoung Seo [ctb] (<https://orcid.org/0000-0002-4064-6012>), Malcolm Barrett [ctb], Rob Hyndman [ctb], Romain Lesur [ctb], Roy Storey [ctb], Ruben Arslan [ctb], Sergio Oller [ctb], RStudio, PBC [cph], jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/rmd/h/jquery-AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/rmd/h/jqueryui-AUTHORS.txt), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Alexander Farkas [ctb, cph] (html5shiv library), Scott Jehl [ctb, cph] (Respond.js library), Ivan Sagalaev [ctb, cph] (highlight.js library), Greg Franko [ctb, cph] (tocify library), John MacFarlane [ctb, cph] (Pandoc templates), Google, Inc. [ctb, cph] (ioslides library), Dave Raggett [ctb] (slidy library), W3C [cph] (slidy library), Dave Gandy [ctb, cph] (Font-Awesome), Ben Sperry [ctb] (Ionicons), Drifty [cph] (Ionicons), Aidan Lister [ctb, cph] (jQuery StickyTabs), Benct Philip Jonsson [ctb, cph] (pagebreak Lua filter), Albert Krewinkel [ctb, cph] (pagebreak Lua filter)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between rmarkdown versions 2.7 dated 2021-02-19 and 2.8 dated 2021-05-07

 DESCRIPTION                              |   18 ++---
 MD5                                      |  108 ++++++++++++++++---------------
 NEWS.md                                  |   39 ++++++++++-
 R/beamer_presentation.R                  |    4 -
 R/context_document.R                     |    2 
 R/html_document.R                        |   30 ++------
 R/html_document_base.R                   |   64 +++++++++++++++++-
 R/html_vignette.R                        |    1 
 R/ioslides_presentation.R                |    3 
 R/output_format.R                        |   39 ++++++++---
 R/pandoc.R                               |    2 
 R/pdf_document.R                         |    6 -
 R/render.R                               |   54 ++++++++-------
 R/render_site.R                          |   16 ++--
 R/shiny.R                                |   23 ++++--
 R/shiny_prerendered.R                    |   44 +++++++++---
 R/slidy_presentation.R                   |    1 
 R/tufte_handout.R                        |   24 ++----
 R/util.R                                 |    6 -
 README.md                                |   24 ++++--
 build/vignette.rds                       |binary
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 inst/rmarkdown/lua/latex-div.lua         |   20 ++++-
 inst/rmarkdown/lua/number-sections.lua   |   17 ++++
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 man/figures                              |only
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 man/ioslides_presentation.Rd             |    2 
 man/pandoc_args.Rd                       |    2 
 man/pandoc_options.Rd                    |    2 
 man/pdf_document.Rd                      |    4 -
 man/render.Rd                            |    5 +
 man/render_site.Rd                       |   16 ++--
 man/slidy_presentation.Rd                |    2 
 man/tufte_handout.Rd                     |   19 -----
 tests/testthat/_snaps/lua-filters.md     |only
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 vignettes/lua-filters.Rmd                |   40 ++++++++++-
 vignettes/rmarkdown.Rmd                  |   66 ++++++++++++++----
 57 files changed, 817 insertions(+), 317 deletions(-)

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Package RPESE updated to version 1.2.1 with previous version 1.2.0 dated 2021-03-10

Title: Estimates of Standard Errors for Risk and Performance Measures
Description: Estimates of standard errors of popular risk and performance measures for asset or portfolio returns using methods as described in Chen and Martin (2018) <https://www.ssrn.com/abstract=3085672>.
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Xin Chen <chenx26@uw.edu>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

Diff between RPESE versions 1.2.0 dated 2021-03-10 and 1.2.1 dated 2021-05-07

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 RPESE-1.2.1/RPESE/DESCRIPTION                |    8 ++--
 RPESE-1.2.1/RPESE/MD5                        |   50 +++++++++++++--------------
 RPESE-1.2.1/RPESE/NAMESPACE                  |    2 -
 RPESE-1.2.1/RPESE/NEWS.md                    |    4 ++
 RPESE-1.2.1/RPESE/R/DSR_SE.R                 |    2 -
 RPESE-1.2.1/RPESE/R/ESratio_SE.R             |    2 -
 RPESE-1.2.1/RPESE/R/EstimatorSE.R            |    8 ++--
 RPESE-1.2.1/RPESE/R/Mean_SE.R                |    2 -
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 RPESE-1.2.1/RPESE/R/RachevRatio_SE.R         |    2 -
 RPESE-1.2.1/RPESE/R/SR_SE.R                  |    2 -
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 RPESE-1.2.1/RPESE/man/VaRratio.SE.Rd         |    2 -
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 28 files changed, 58 insertions(+), 54 deletions(-)

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Package PAsso updated to version 0.1.9 with previous version 0.1.8 dated 2020-07-13

Title: Assessing the Partial Association Between Ordinal Variables
Description: An implementation of the unified framework for assessing partial association between ordinal variables after adjusting for a set of covariates (Dungang Liu, Shaobo Li, Yan Yu and Irini Moustaki (2020), accepted by the Journal of the American Statistical Association). This package provides a set of tools to quantify, visualize, and test partial associations between multiple ordinal variables. It can produce a number of $phi$ measures, partial regression plots, 3-D plots, and $p$-values for testing $H_0: phi=0$ or $H_0: phi <= delta$.
Author: Xiaorui (Jeremy) Zhu [aut, cre], Shaobo Li [aut], Dungang Liu [ctb, aut], Yuejie Chen [ctb]
Maintainer: Xiaorui (Jeremy) Zhu <zhuxiaorui1989@gmail.com>

Diff between PAsso versions 0.1.8 dated 2020-07-13 and 0.1.9 dated 2021-05-07

 DESCRIPTION                      |   43 ++++----
 MD5                              |   56 +++++------
 NAMESPACE                        |    3 
 NEWS.md                          |   14 ++
 R/PAsso.R                        |   11 +-
 R/autoplot.R                     |    3 
 R/diagnostic.plot.R              |   18 ++-
 R/residuals.R                    |  189 +++++++++++++++++++++++++++++++++++----
 R/surrogate.R                    |    4 
 R/utils.R                        |   56 +++++++----
 README.md                        |  107 +++++++++++-----------
 build                            |only
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 man/residualsVGAM.Rd             |only
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 tests/testthat/Rplots.pdf        |binary
 tests/testthat/test-PAsso.R      |    9 +
 tests/testthat/test-autoplot.R   |   10 --
 tests/testthat/test-data.R       |    2 
 tests/testthat/test-diagnostic.R |   41 +++++++-
 tests/testthat/test-gumbel.R     |    2 
 tests/testthat/test-plot.R       |    2 
 tests/testthat/test-plot3D.R     |    2 
 tests/testthat/test-residuals.R  |   69 ++++++++++++++
 tests/testthat/test-surrogate.R  |    2 
 tests/testthat/test-test.R       |    2 
 tests/testthat/test-truncated.R  |    2 
 tests/testthat/test-utils.R      |    2 
 30 files changed, 502 insertions(+), 198 deletions(-)

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Package httpuv updated to version 1.6.1 with previous version 1.6.0 dated 2021-04-23

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng [aut], Winston Chang [aut, cre], RStudio, PBC [cph], Hector Corrada Bravo [ctb], Jeroen Ooms [ctb], Andrzej Krzemienski [cph] (optional.hpp)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between httpuv versions 1.6.0 dated 2021-04-23 and 1.6.1 dated 2021-05-07

 DESCRIPTION    |    6 +++---
 MD5            |   10 +++++-----
 NEWS.md        |    9 +++++++--
 src/timegm.cpp |   27 +++++++++++++++++++++++++--
 src/timegm.h   |    4 +---
 src/utils.cpp  |    2 +-
 6 files changed, 42 insertions(+), 16 deletions(-)

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Package BuildSys updated to version 1.1.0 with previous version 1.0.9 dated 2021-04-30

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

Diff between BuildSys versions 1.0.9 dated 2021-04-30 and 1.1.0 dated 2021-05-07

 DESCRIPTION       |    8 ++++----
 MD5               |    6 +++---
 R/BuildSys.R      |   10 ++++++----
 build/partial.rdb |binary
 4 files changed, 13 insertions(+), 11 deletions(-)

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