Thu, 01 Oct 2020

Package ggvis updated to version 0.4.6 with previous version 0.4.5 dated 2019-10-26

Title: Interactive Grammar of Graphics
Description: An implementation of an interactive grammar of graphics, taking the best parts of 'ggplot2', combining them with the reactive framework of 'shiny' and drawing web graphics using 'vega'.
Author: Winston Chang [aut, cre], Hadley Wickham [aut], RStudio [cph], jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/www/lib/jquery/AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/www/lib/jquery-ui/AUTHORS.txt), Mike Bostock [ctb, cph] (D3 library), D3 contributors [ctb] (D3 library; authors listed at https://github.com/d3/d3/graphs/contributors), Trifacta Inc. [cph] (Vega library), Vega contributors [ctb] (Vega library; authors listed at https://github.com/trifacta/vega/graphs/contributors), Sebastián Décima [ctb, cph] (javascript-detect-element-resize library)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between ggvis versions 0.4.5 dated 2019-10-26 and 0.4.6 dated 2020-10-01

 DESCRIPTION                     |   14 +++---
 LICENSE                         |    2 
 MD5                             |   86 ++++++++++++++++++++--------------------
 NEWS.md                         |    4 +
 R/full_seq.R                    |    1 
 R/guide_axis.R                  |    2 
 R/guide_legend.R                |    2 
 R/handle_keyboard.R             |    2 
 R/print.R                       |    3 +
 R/scales.R                      |    2 
 R/vega.R                        |    2 
 README.md                       |   21 +++++----
 man/add_axis.Rd                 |   27 +++++++++---
 man/add_data.Rd                 |    3 -
 man/add_legend.Rd               |   13 ++++--
 man/add_props.Rd                |    3 -
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 man/cocaine.Rd                  |    4 +
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 man/input_checkbox.Rd           |   14 ++++--
 man/input_select.Rd             |   58 +++++++++++++++++---------
 man/input_slider.Rd             |   29 ++++++++++---
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 man/layer_densities.Rd          |   10 +++-
 man/layer_histograms.Rd         |   24 ++++++++---
 man/layer_model_predictions.Rd  |   11 ++++-
 man/legend_props.Rd             |    9 +++-
 man/print.ggvis.Rd              |    6 +-
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 man/scale_datetime.Rd           |   24 ++++++++---
 man/scale_numeric.Rd            |   26 +++++++++---
 man/scale_ordinal.Rd            |   62 ++++++++++++++++++++++------
 man/set_options.Rd              |   14 +++++-
 man/shiny-ggvis.Rd              |   12 +++--
 man/singular.Rd                 |   11 ++++-
 man/waggle.Rd                   |    3 -
 44 files changed, 422 insertions(+), 189 deletions(-)

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Package TestDesign updated to version 1.1.3 with previous version 1.1.2 dated 2020-09-21

Title: Optimal Test Design Approach to Fixed and Adaptive Test Construction
Description: Use the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and van der Linden (2018) <doi:10.1201/9781315117430> in constructing fixed and adaptive tests. Supports the following mixed-integer programming (MIP) solver packages: 'lpsymphony', 'Rsymphony', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package is not available from CRAN; see <https://www.gurobi.com/downloads/>. See vignette for installing 'Rsymphony' package on Mac systems.
Author: Seung W. Choi [aut, cre] (<https://orcid.org/0000-0003-4777-5420>), Sangdon Lim [aut] (<https://orcid.org/0000-0002-2988-014X>)
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>

Diff between TestDesign versions 1.1.2 dated 2020-09-21 and 1.1.3 dated 2020-10-01

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 TestDesign-1.1.3/TestDesign/tests/testthat/test-theta-methods.R |    2 
 57 files changed, 656 insertions(+), 444 deletions(-)

More information about TestDesign at CRAN
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Package phonics updated to version 1.3.8 with previous version 1.3.6 dated 2020-07-06

Title: Phonetic Spelling Algorithms
Description: Provides a collection of phonetic algorithms including Soundex, Metaphone, NYSIIS, Caverphone, and others. The package is documented in <doi:10.18637/jss.v095.i08>.
Author: James Howard [aut, cre] (<https://orcid.org/0000-0003-4530-1547>), Kyle Haynes [ctb], Amanda Hood [ctb], Os Keyes [ctb]
Maintainer: James Howard <jh@jameshoward.us>

Diff between phonics versions 1.3.6 dated 2020-07-06 and 1.3.8 dated 2020-10-01

 DESCRIPTION           |   15 ++++++------
 MD5                   |   62 +++++++++++++++++++++++++-------------------------
 R/caverphone.R        |    4 +++
 R/cologne.R           |    4 +++
 R/lein.R              |    4 +++
 R/metaphone.R         |    6 ++++
 R/mra.R               |    5 +++-
 R/nysiis.R            |    4 +++
 R/onca.R              |    4 +++
 R/phonex.R            |    4 +++
 R/phonics.R           |    6 ++++
 R/rogerroot.R         |    4 +++
 R/soundex.R           |    5 ++++
 R/statcan.R           |    4 +++
 README.md             |   14 ++++++++---
 build/vignette.rds    |binary
 inst/CITATION         |   41 ++++++++++++++++++++++++---------
 inst/doc/phonics.Rmd  |    2 -
 inst/doc/phonics.html |   22 +++++++++++++++--
 man/caverphone.Rd     |    4 +++
 man/cologne.Rd        |    4 +++
 man/lein.Rd           |    4 +++
 man/metaphone.Rd      |    5 ++++
 man/mra.Rd            |    4 +++
 man/nysiis.Rd         |    4 +++
 man/onca.Rd           |    4 +++
 man/phonex.Rd         |    4 +++
 man/phonics.Rd        |    5 ++++
 man/rogerroot.Rd      |    4 +++
 man/soundex.Rd        |    4 +++
 man/statcan.Rd        |    4 +++
 vignettes/phonics.Rmd |    2 -
 32 files changed, 203 insertions(+), 59 deletions(-)

More information about phonics at CRAN
Permanent link

Package hmi updated to version 1.0.0 with previous version 0.9.20 dated 2020-09-17

Title: Hierarchical Multiple Imputation
Description: Runs single level and multilevel imputation models as described in Speidel, Drechsler and Jolani (2020) <doi:10.18637/jss.v095.i09>. The user just has to pass the data to the main function and, optionally, his analysis model. Basically the package then translates this analysis model into commands to impute the data according to it with functions from 'mice', 'MCMCglmm' or routines build for this package.
Author: Matthias Speidel [aut, cre] (Munich, Germany), Joerg Drechsler [aut] (Institute for Employment Research, Nuremberg, Germany), Shahab Jolani [aut] (Maastricht University, Maastricht, The Netherlands)
Maintainer: Matthias Speidel <matthias.speidel@googlemail.com>

Diff between hmi versions 0.9.20 dated 2020-09-17 and 1.0.0 dated 2020-10-01

 DESCRIPTION              |    8 ++++----
 MD5                      |    9 +++++----
 R/hmi_wrapper.R          |    3 +++
 inst/CITATION            |only
 inst/doc/myvignette.html |    4 ++--
 man/hmi.Rd               |    5 +++++
 6 files changed, 19 insertions(+), 10 deletions(-)

More information about hmi at CRAN
Permanent link

Package broom updated to version 0.7.1 with previous version 0.7.0 dated 2020-07-09

Title: Convert Statistical Objects into Tidy Tibbles
Description: Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.
Author: David Robinson [aut], Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>), Simon Couch [aut], Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>), Derek Chiu [ctb], Matthieu Gomez [ctb], Boris Demeshev [ctb], Dieter Menne [ctb], Benjamin Nutter [ctb], Luke Johnston [ctb], Ben Bolker [ctb], Francois Briatte [ctb], Jeffrey Arnold [ctb], Jonah Gabry [ctb], Luciano Selzer [ctb], Gavin Simpson [ctb], Jens Preussner [ctb], Jay Hesselberth [ctb], Hadley Wickham [ctb], Matthew Lincoln [ctb], Alessandro Gasparini [ctb], Lukasz Komsta [ctb], Frederick Novometsky [ctb], Wilson Freitas [ctb], Michelle Evans [ctb], Jason Cory Brunson [ctb], Simon Jackson [ctb], Ben Whalley [ctb], Karissa Whiting [ctb], Yves Rosseel [ctb], Michael Kuehn [ctb], Jorge Cimentada [ctb], Erle Holgersen [ctb], Karl Dunkle Werner [ctb] (<https://orcid.org/0000-0003-0523-7309>), Ethan Christensen [ctb], Steven Pav [ctb], Paul PJ [ctb], Ben Schneider [ctb], Patrick Kennedy [ctb], Lily Medina [ctb], Brian Fannin [ctb], Jason Muhlenkamp [ctb], Matt Lehman [ctb], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Nic Crane [ctb], Andrew Bates [ctb], Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>), Hideaki Hayashi [ctb], Luis Tobalina [ctb], Annie Wang [ctb], Wei Yang Tham [ctb], Clara Wang [ctb], Abby Smith [ctb] (<https://orcid.org/0000-0002-3207-0375>), Jasper Cooper [ctb] (<https://orcid.org/0000-0002-8639-3188>), E Auden Krauska [ctb] (<https://orcid.org/0000-0002-1466-5850>), Alex Wang [ctb], Malcolm Barrett [ctb] (<https://orcid.org/0000-0003-0299-5825>), Charles Gray [ctb] (<https://orcid.org/0000-0002-9978-011X>), Jared Wilber [ctb], Vilmantas Gegzna [ctb] (<https://orcid.org/0000-0002-9500-5167>), Eduard Szoecs [ctb], Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Angus Moore [ctb], Nick Williams [ctb], Marius Barth [ctb] (<https://orcid.org/0000-0002-3421-6665>), Bruna Wundervald [ctb] (<https://orcid.org/0000-0001-8163-220X>), Joyce Cahoon [ctb] (<https://orcid.org/0000-0001-7217-4702>), Grant McDermott [ctb] (<https://orcid.org/0000-0001-7883-8573>), Kevin Zarca [ctb], Shiro Kuriwaki [ctb] (<https://orcid.org/0000-0002-5687-2647>), Lukas Wallrich [ctb] (<https://orcid.org/0000-0003-2121-5177>), James Martherus [ctb] (<https://orcid.org/0000-0002-8285-3300>), Chuliang Xiao [ctb] (<https://orcid.org/0000-0002-8466-9398>), Joseph Larmarange [ctb], Max Kuhn [ctb], Michal Bojanowski [ctb], Hakon Malmedal [ctb], Clara Wang [ctb], Sergio Oller [ctb], Luke Sonnet [ctb], Jim Hester [ctb], Cory Brunson [ctb], Ben Schneider [ctb], Bernie Gray [ctb] (<https://orcid.org/0000-0001-9190-6032>), Mara Averick [ctb], Aaron Jacobs [ctb], Andreas Bender [ctb], Sven Templer [ctb], Paul-Christian Buerkner [ctb], Matthew Kay [ctb], Erwan Le Pennec [ctb], Johan Junkka [ctb], Hao Zhu [ctb], Benjamin Soltoff [ctb], Zoe Wilkinson Saldana [ctb], Tyler Littlefield [ctb], Charles T. Gray [ctb], Shabbh E. Banks [ctb], Serina Robinson [ctb], Roger Bivand [ctb], Riinu Ots [ctb], Nicholas Williams [ctb], Nina Jakobsen [ctb], Michael Weylandt [ctb], Lisa Lendway [ctb], Karl Hailperin [ctb], Josue Rodriguez [ctb], Jenny Bryan [ctb], Chris Jarvis [ctb], Greg Macfarlane [ctb], Brian Mannakee [ctb], Drew Tyre [ctb], Shreyas Singh [ctb], Laurens Geffert [ctb], Hong Ooi [ctb], Henrik Bengtsson [ctb], Eduard Szocs [ctb], David Hugh-Jones [ctb], Matthieu Stigler [ctb], Hugo Tavares [ctb] (<https://orcid.org/0000-0001-9373-2726>), R. Willem Vervoort [ctb], Brenton M. Wiernik [ctb]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

Diff between broom versions 0.7.0 dated 2020-07-09 and 0.7.1 dated 2020-10-01

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Package apc updated to version 2.0.0 with previous version 1.3 dated 2016-12-01

Title: Age-Period-Cohort Analysis
Description: Functions for age-period-cohort analysis. Aggregate data can be organised in matrices indexed by age-cohort, age-period or cohort-period. The data can include dose and response or just doses. The statistical model is a generalized linear model (GLM) allowing for 3,2,1 or 0 of the age-period-cohort factors. Individual-level data should have a row for each individual and columns for each of age, period, and cohort. The statistical model for repeated cross-section is a generalized linear model. The statistical model for panel data is ordinary least squares. The canonical parametrisation of Kuang, Nielsen and Nielsen (2008) <DOI:10.1093/biomet/asn026> is used. Thus, the analysis does not rely on ad hoc identification.
Author: Zoe Fannon, Bent Nielsen
Maintainer: Bent Nielsen <bent.nielsen@nuffield.ox.ac.uk>

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Package rjdmarkdown updated to version 0.2.0 with previous version 0.1.0 dated 2020-05-08

Title: 'rmarkdown' Extension for Formatted 'RJDemetra' Outputs
Description: Functions to have nice 'rmarkdown' outputs of the seasonal and trading day adjustment models made with 'RJDemetra'.
Author: Alain Quartier-la-Tente [aut, cre] (<https://orcid.org/0000-0001-7890-3857>)
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

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Package otpr updated to version 0.4.2 with previous version 0.4.1 dated 2020-05-28

Title: An R Wrapper for the 'OpenTripPlanner' REST API
Description: A wrapper for the 'OpenTripPlanner' <http://www.opentripplanner.org/> REST API. Queries are submitted to the relevant 'OpenTripPlanner' API resource, the response is parsed and useful R objects are returned.
Author: Marcus Young [aut, cre] (<https://orcid.org/0000-0003-4627-1116>)
Maintainer: Marcus Young <M.A.Young@soton.ac.uk>

Diff between otpr versions 0.4.1 dated 2020-05-28 and 0.4.2 dated 2020-10-01

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Package IRISSeismic updated to version 1.6.0 with previous version 1.5.2 dated 2019-10-22

Title: Classes and Methods for Seismic Data Analysis
Description: Provides classes and methods for seismic data analysis. The base classes and methods are inspired by the python code found in the 'ObsPy' python toolbox <https://github.com/obspy/obspy>. Additional classes and methods support data returned by web services provided by the 'IRIS DMC' <http://service.iris.edu/>.
Author: Jonathan Callahan [aut], Rob Casey [aut], Gillian Sharer [aut, cre], Mary Templeton [aut], Chad Trabant [ctb]
Maintainer: Gillian Sharer <gillian@iris.washington.edu>

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Package regsem updated to version 1.6.2 with previous version 1.5.2 dated 2020-02-19

Title: Regularized Structural Equation Modeling
Description: Uses both ridge and lasso penalties (and extensions) to penalize specific parameters in structural equation models. The package offers additional cost functions, cross validation, and other extensions beyond traditional structural equation models. Also contains a function to perform exploratory mediation (XMed).
Author: Ross Jacobucci[aut,cre], Kevin J. Grimm [ctb], Andreas M. Brandmaier [ctb], Sarfaraz Serang [ctb], Rogier A. Kievit [ctb], Florian Scharf [ctb], Xiaobei Li [ctb], Ai Ye [ctb]
Maintainer: Ross Jacobucci <rcjacobuc@gmail.com>

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Package mscstts updated to version 0.6.0 with previous version 0.5.6 dated 2020-08-10

Title: R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API
Description: R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API, including voice synthesis. A valid account must be registered at the Microsoft Cognitive Services website <https://azure.microsoft.com/services/cognitive-services/> in order to obtain a (free) API key. Without an API key, this package will not work properly.
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package amt updated to version 0.1.3 with previous version 0.1.2 dated 2020-06-14

Title: Animal Movement Tools
Description: Manage and analyze animal movement data. The functionality of 'amt' includes methods to calculate track statistics (e.g. step lengths, speed, or turning angles), prepare data for fitting habitat selection analyses (resource selection functions and step-selection functions <doi:10.1890/04-0953> and integrated step-selection functions <doi:10.1111/2041-210X.12528>), and simulation of space-use from fitted step-selection functions <doi:10.1002/ecs2.1771>.
Author: Johannes Signer [aut, cre], Brian Smith [ctb], Bjoern Reineking [ctb], Ulrike Schlaegel [ctb], Scott LaPoint [dtc]
Maintainer: Johannes Signer <jsigner@gwdg.de>

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Package sigr updated to version 1.1.2 with previous version 1.1.1 dated 2020-09-22

Title: Succinct and Correct Statistical Summaries for Reports
Description: Succinctly and correctly format statistical summaries of various models and tests (F-test, Chi-Sq-test, Fisher-test, T-test, and rank-significance). The main purpose is unified reporting of experimental results, working around issue such as the difficulty of extracting model summary facts (such as with 'lm'/'glm'). This package also includes empirical tests, such as bootstrap estimates.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between sigr versions 1.1.1 dated 2020-09-22 and 1.1.2 dated 2020-10-01

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Package gmp updated to version 0.6-1 with previous version 0.6-0 dated 2020-06-09

Title: Multiple Precision Arithmetic
Description: Multiple Precision Arithmetic (big integers and rationals, prime number tests, matrix computation), "arithmetic without limitations" using the C library GMP (GNU Multiple Precision Arithmetic).
Author: Antoine Lucas, Immanuel Scholz, Rainer Boehme <rb-gmp@reflex-studio.de>, Sylvain Jasson <Sylvain.Jasson@inrae.fr>, Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Antoine Lucas <antoinelucas@gmail.com>

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Package pinp updated to version 0.0.10 with previous version 0.0.9 dated 2019-09-15

Title: 'pinp' is not 'PNAS'
Description: A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Sciences of the United States of America' ('PNAS', see <https://www.pnas.org>) 'LaTeX' style, and adapted for use with 'markdown' and 'pandoc'.
Author: Dirk Eddelbuettel and James Balamuta
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between pinp versions 0.0.9 dated 2019-09-15 and 0.0.10 dated 2020-10-01

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Package edeaR updated to version 0.8.6 with previous version 0.8.5 dated 2020-06-17

Title: Exploratory and Descriptive Event-Based Data Analysis
Description: Exploratory and descriptive analysis of event based data. Provides methods for describing and selecting process data, and for preparing event log data for process mining. Builds on the S3-class for event logs implemented in the package 'bupaR'.
Author: Gert Janssenswillen [aut, cre], Marijke Swennen [ctb]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package JuliaConnectoR updated to version 0.6.2 with previous version 0.6.1 dated 2020-08-12

Title: A Functionally Oriented Interface for Integrating 'Julia' with R
Description: Allows to import functions and whole packages from 'Julia' in R. Imported 'Julia' functions can directly be called as R functions. Data structures can be translated between 'Julia' and R.
Author: Stefan Lenz [aut, cre] (<https://orcid.org/0000-0001-9135-1743>), Harald Binder [aut] (<https://orcid.org/0000-0002-5666-8662>)
Maintainer: Stefan Lenz <stefan-m-lenz@web.de>

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Package shattering updated to version 1.0.1 with previous version 1.0 dated 2020-09-25

Title: Estimate the Shattering Coefficient for a Particular Dataset
Description: The Statistical Learning Theory (SLT) provides the theoretical background to ensure that a supervised algorithm generalizes the mapping f:X -> Y given f is selected from its search space bias F. This formal result depends on the Shattering coefficient function N(F,2n) to upper bound the empirical risk minimization principle, from which one can estimate the necessary training sample size to ensure the probabilistic learning convergence and, most importantly, the characterization of the capacity of F, including its under and overfitting abilities while addressing specific target problems. In this context, we propose a new approach to estimate the maximal number of hyperplanes required to shatter a given sample, i.e., to separate every pair of points from one another, based on the recent contributions by Har-Peled and Jones in the dataset partitioning scenario, and use such foundation to analytically compute the Shattering coefficient function for both binary and multi-class problems. As main contributions, one can use our approach to study the complexity of the search space bias F, estimate training sample sizes, and parametrize the number of hyperplanes a learning algorithm needs to address some supervised task, what is specially appealing to deep neural networks. Reference: de Mello, R.F. (2019) "On the Shattering Coefficient of Supervised Learning Algorithms" <arXiv:1911.05461>; de Mello, R.F., Ponti, M.A. (2018, ISBN: 978-3319949888) "Machine Learning: A Practical Approach on the Statistical Learning Theory".
Author: Rodrigo F. de Mello [aut, cre] (<https://orcid.org/0000-0002-0435-3992>)
Maintainer: Rodrigo F. de Mello <mello@icmc.usp.br>

Diff between shattering versions 1.0 dated 2020-09-25 and 1.0.1 dated 2020-10-01

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 MD5                        |    8 +++++---
 NAMESPACE                  |    3 +--
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Package openair updated to version 2.7-6 with previous version 2.7-4 dated 2020-06-18

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically hourly time series and both monitoring data and dispersion model output can be analysed. Many functions can also be applied to other data, including meteorological and traffic data.
Author: David Carslaw [aut, cre], Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between openair versions 2.7-4 dated 2020-06-18 and 2.7-6 dated 2020-10-01

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New package statgenGxE with initial version 1.0.2
Package: statgenGxE
Type: Package
Title: Genotype by Environment (GxE) Analysis
Version: 1.0.2
Date: 2020-09-28
Authors@R: c(person(given = "Bart-Jan", family = "van Rossum", email = "bart-jan.vanrossum@wur.nl", role = c("aut", "cre")), person(given = "Fred", family = "van Eeuwijk", role = "ctb", comment = c(ORCID = "0000-0003-3672-2921")), person(given = "Martin", family = "Boer", role = "ctb"), person(given = "Marcos", family = "Malosetti", role = "ctb", comment = c(ORCID = "0000-0002-8150-1397")), person(given = "Daniela", family = "Bustos-Korts", role = "ctb", comment = c(ORCID = "0000-0003-3827-6726")), person(given = "Emilie J", family = "Millet", role = "ctb", comment = c(ORCID = "0000-0002-2913-4892")), person(given = "Joao", family = "Paulo", role = "ctb", comment = c(ORCID = "0000-0002-4180-0763")), person(given = "Maikel", family = "Verouden", role = "ctb", comment = c(ORCID = "0000-0002-4893-3323")), person(given = "Willem", family = "Kruijer", role = "ctb", comment = c(ORCID = "0000-0001-7179-1733")), person(given = "Ron", family = "Wehrens", role = "ctb", comment = c(ORCID = "0000-0002-8798-5599")), person(given = "Choazhi", family = "Zheng", role = "ctb", comment = c(ORCID = "0000-0001-6030-3933")) )
Description: Analysis of multi environment data of plant breeding experiments following the analyses described in Malosetti, Ribaut, and van Eeuwijk (2013), <doi:10.3389/fphys.2013.00044>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<http://www.vsni.co.uk/software/asreml-r>).
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.3)
Imports: emmeans, ggplot2 (>= 3.3.0), gridExtra, knitr, lme4, methods, statgenSTA (>= 1.0.6), xtable
Suggests: asreml(>= 3.0), rmarkdown, testthat
SystemRequirements: pdflatex
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-29 06:13:07 UTC; rossu027
Author: Bart-Jan van Rossum [aut, cre], Fred van Eeuwijk [ctb] (<https://orcid.org/0000-0003-3672-2921>), Martin Boer [ctb], Marcos Malosetti [ctb] (<https://orcid.org/0000-0002-8150-1397>), Daniela Bustos-Korts [ctb] (<https://orcid.org/0000-0003-3827-6726>), Emilie J Millet [ctb] (<https://orcid.org/0000-0002-2913-4892>), Joao Paulo [ctb] (<https://orcid.org/0000-0002-4180-0763>), Maikel Verouden [ctb] (<https://orcid.org/0000-0002-4893-3323>), Willem Kruijer [ctb] (<https://orcid.org/0000-0001-7179-1733>), Ron Wehrens [ctb] (<https://orcid.org/0000-0002-8798-5599>), Choazhi Zheng [ctb] (<https://orcid.org/0000-0001-6030-3933>)
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>
Repository: CRAN
Date/Publication: 2020-10-01 09:20:02 UTC

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Package rAmCharts4 updated to version 1.0.0 with previous version 0.1.0 dated 2020-08-24

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, vertical and horizontal Dumbbell chart, line chart, scatter chart, range area chart, and gauge 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 0.1.0 dated 2020-08-24 and 1.0.0 dated 2020-10-01

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New package mlr3cluster with initial version 0.1.0
Package: mlr3cluster
Title: Cluster Extension for 'mlr3'
Version: 0.1.0
Authors@R: c(person(given = "Damir", family = "Pulatov", role = c("cre", "aut"), email = "dpulatov@uwyo.edu"), person(given = "Michel", family = "Lang", role = "aut", email = "michellang@gmail.com", comment = c(ORCID = "0000-0001-9754-0393")))
Description: Extends the 'mlr3' package with cluster analysis.
License: LGPL-3
URL: https://mlr3cluster.mlr-org.com, https://github.com/mlr-org/mlr3cluster
BugReports: https://github.com/mlr-org/mlr3cluster/issues
Depends: R (>= 3.1.0)
Imports: backports (>= 1.1.10), checkmate, clue, clusterCrit, data.table, mlr3 (>= 0.5.0), mlr3misc (>= 0.4.0), paradox, R6
Suggests: bibtex, dbscan, e1071, mlbench, RWeka, testthat
Encoding: UTF-8
RoxygenNote: 7.1.1
Collate: 'LearnerClust.R' 'LearnerClustAgnes.R' 'LearnerClustCMeans.R' 'LearnerClustDBSCAN.R' 'LearnerClustDiana.R' 'LearnerClustFanny.R' 'LearnerClustFeatureless.R' 'LearnerClustKMeans.R' 'LearnerClustPAM.R' 'LearnerClustXMeans.R' 'MeasureClust.R' 'measures.R' 'MeasureClustInternal.R' 'PredictionClust.R' 'PredictionDataClust.R' 'TaskClust.R' 'TaskClust_usarrest.R' 'helper.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2020-09-29 01:55:05 UTC; damir
Author: Damir Pulatov [cre, aut], Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Damir Pulatov <dpulatov@uwyo.edu>
Repository: CRAN
Date/Publication: 2020-10-01 09:10:02 UTC

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New package lmkCHK with initial version 1.0.0
Package: lmkCHK
Title: Tools to Visualize and Screen 2D/3D Landmark Data
Version: 1.0.0
Authors@R: c(person(given = "Daniel", family = "Ehrlich", role = c("aut", "cre"), email = "dan.ehrlich.e@gmail.com"), person(given = "Michelle", family = "Singleton", role = "aut"))
Description: Provides visual and interactive tools to screen 2D/3D landmark data. Meant to supplement other geometric morphometric packages by making vibrant visuals easy/automatic.
Depends: R (>= 3.2.0), geomorph, rgl
Imports: Morpho, shiny
Suggests: psych
License: GPL (>= 3.0)
URL: <https://github.com/ehrlichd/lmkCHK>
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-29 17:28:20 UTC; camel
Author: Daniel Ehrlich [aut, cre], Michelle Singleton [aut]
Maintainer: Daniel Ehrlich <dan.ehrlich.e@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-01 09:40:07 UTC

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Package JFE updated to version 2.5.1 with previous version 2.1.3 dated 2019-08-05

Title: Tools and GUI for Analyzing Time Series Data of Just Finance and Econometrics
Description: Support the analysis of financial and econometric time series, including recursive forecasts for machine learning.
Author: Ho Tsung-wu
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

Diff between JFE versions 2.1.3 dated 2019-08-05 and 2.5.1 dated 2020-10-01

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Package GWASinspector updated to version 1.4.8.2 with previous version 1.4.8 dated 2020-07-28

Title: Comprehensive and Easy to Use Quality Control of GWAS Results
Description: When evaluating the results of a genome-wide association study (GWAS), it is important to perform a quality control to ensure that the results are valid, complete, correctly formatted, and, in case of meta-analysis, consistent with other studies that have applied the same analysis. This package was developed to facilitate and streamline this process and provide the user with a comprehensive report.
Author: Alireza Ani [aut, cre], Peter J. van der Most [aut], Ahmad Vaez [aut], Ilja M. Nolte [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>

Diff between GWASinspector versions 1.4.8 dated 2020-07-28 and 1.4.8.2 dated 2020-10-01

 DESCRIPTION                 |   10 +-
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Package GetoptLong updated to version 1.0.3 with previous version 1.0.2 dated 2020-07-06

Title: Parsing Command-Line Arguments and Simple Variable Interpolation
Description: This is a command-line argument parser which wraps the powerful Perl module Getopt::Long and with some adaptations for easier use in R. It also provides a simple way for variable interpolation in R.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

Diff between GetoptLong versions 1.0.2 dated 2020-07-06 and 1.0.3 dated 2020-10-01

 DESCRIPTION                          |   10 +++++-----
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 11 files changed, 86 insertions(+), 43 deletions(-)

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New package amapGeocode with initial version 0.3.1
Type: Package
Package: amapGeocode
Title: An Interface to the 'AutoNavi Maps' API Geocoding Services
Version: 0.3.1
Authors@R: c(person(given = "Han", family = "Chen", role = c("aut", "cre"), email = "chenhan28@gmail.com"), person(given = "Wanyanhan", family = "Jiang", role = "ctb", email = "243016042@qq.com"))
Description: Getting and parsing data of location geocode/reverse-geocode and administrative regions from 'AutoNavi Maps'<https://lbs.amap.com/api/webservice/summary> API.
License: MIT + file LICENSE
URL: https://github.com/womeimingzi11/amapGeocode
Imports: dplyr, httr, jsonlite, magrittr, sjmisc, stats, stringr, tibble, xml2, purrr, lifecycle
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
RdMacros: lifecycle
NeedsCompilation: no
Packaged: 2020-09-29 15:36:18 UTC; chenhan
Author: Han Chen [aut, cre], Wanyanhan Jiang [ctb]
Maintainer: Han Chen <chenhan28@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-01 09:30:03 UTC

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Package stats19 updated to version 1.3.0 with previous version 1.2.0 dated 2020-03-03

Title: Work with Open Road Traffic Casualty Data from Great Britain
Description: Tools to help download, process and analyse the UK road collision data collected using the 'STATS19' form. The data are provided as 'CSV' files with detailed road safety data about the circumstances of car crashes and other incidents on the roads resulting in casualties in Great Britain from 1979, the types (including make and model) of vehicles involved and the consequential casualties. The statistics relate only to personal casualties on public roads that are reported to the police, and subsequently recorded, using the 'STATS19' accident reporting form. See the Department for Transport website <https://data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-safety-data> for more information on these data.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Malcolm Morgan [aut] (<https://orcid.org/0000-0002-9488-9183>), Layik Hama [aut] (<https://orcid.org/0000-0003-1912-4890>), Mark Padgham [aut] (<https://orcid.org/0000-0003-2172-5265>), David Ranzolin [rev], Adam Sparks [rev, ctb] (<https://orcid.org/0000-0002-0061-8359>), Ivo Wengraf [ctb], RAC Foundation [fnd]
Maintainer: Robin Lovelace <rob00x@gmail.com>

Diff between stats19 versions 1.2.0 dated 2020-03-03 and 1.3.0 dated 2020-10-01

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Package seriation updated to version 1.2-9 with previous version 1.2-8 dated 2019-08-27

Title: Infrastructure for Ordering Objects Using Seriation
Description: Infrastructure for ordering objects with an implementation of several seriation/sequencing/ordination techniques to reorder matrices, dissimilarity matrices, and dendrograms. Also provides (optimally) reordered heatmaps, color images and clustering visualizations like dissimilarity plots, and visual assessment of cluster tendency plots (VAT and iVAT). Hahsler et al (2008) <doi:10.18637/jss.v025.i03>.
Author: Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Kurt Hornik [aut, cph], Fionn Murtagh [ctb, cph], Michael Brusco [ctb, cph], Stephanie Stahl [ctb, cph], Hans-Friedrich Koehn [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between seriation versions 1.2-8 dated 2019-08-27 and 1.2-9 dated 2020-10-01

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New package pkdata with initial version 0.1.0
Package: pkdata
Type: Package
Title: Creates Pharmacokinetic/Pharmacodynamic (PK/PD) Data
Version: 0.1.0
Date: 2020-09-28
Maintainer: Cole Beck <cole.beck@vumc.org>
Authors@R: c(person("Cole", "Beck", role = c("aut", "cre"), email = "cole.beck@vumc.org", comment = c(ORCID = "0000-0002-6849-6255")), person("Leena", "Choi", role = "aut", email = "naturechoi@gmail.com"))
Description: Prepare pharmacokinetic/pharmacodynamic (PK/PD) data for PK/PD analyses. This package provides functions to standardize infusion and bolus dose data while linking it to drug level or concentration data.
License: GPL (>= 3)
Depends: lubridate
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-28 23:00:57 UTC; beckca
Author: Cole Beck [aut, cre] (<https://orcid.org/0000-0002-6849-6255>), Leena Choi [aut]
Repository: CRAN
Date/Publication: 2020-10-01 09:00:02 UTC

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New package microclustr with initial version 0.1.0
Package: microclustr
Type: Package
Title: Entity Resolution with Random Partition Priors for Microclustering
Version: 0.1.0
Date: 2020-09-15
Authors@R: c( person(given=c("Rebecca", "C"), family="Steorts", role = c("aut","cre"), email="beka@stat.duke.edu"), person("Brenda", "Betancourt", email = "bbetancourt@ufl.edu", role = c("aut")), person("Giacomo", "Zanella", email = "zanella.gcm@gmail.com", role = c("aut")) )
Depends: R (>= 3.2.4)
Imports: Rcpp (>= 1.0.1), stats
Suggests: knitr, rmarkdown
Description: An implementation of the model in Betancourt, Zanella, Steorts (2020) <arXiv:2004.02008>, which performs microclustering models for categorical data. The package provides a vignette for two proposed methods in the paper as well as two standard Bayesian non-parametric clustering approaches for entity resolution. The experiments are reproducible and illustrated using a simple vignette. LICENSE: GPL-3 + file license.
VignetteBuilder: knitr
License: GPL-3
LinkingTo: Rcpp
RoxygenNote: 7.1.1.9000
NeedsCompilation: yes
Packaged: 2020-09-28 15:10:13 UTC; rebeccasteorts
Author: Rebecca C Steorts [aut, cre], Brenda Betancourt [aut], Giacomo Zanella [aut]
Maintainer: Rebecca C Steorts <beka@stat.duke.edu>
Repository: CRAN
Date/Publication: 2020-10-01 08:30:02 UTC

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Package lightgbm updated to version 3.0.0.2 with previous version 3.0.0 dated 2020-09-21

Title: Light Gradient Boosting Machine
Description: Tree based algorithms can be improved by introducing boosting frameworks. 'LightGBM' is one such framework, based on Ke, Guolin et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>. This package offers an R interface to work with it. It is designed to be distributed and efficient with the following advantages: 1. Faster training speed and higher efficiency. 2. Lower memory usage. 3. Better accuracy. 4. Parallel learning supported. 5. Capable of handling large-scale data. In recognition of these advantages, 'LightGBM' has been widely-used in many winning solutions of machine learning competitions. Comparison experiments on public datasets suggest that 'LightGBM' can outperform existing boosting frameworks on both efficiency and accuracy, with significantly lower memory consumption. In addition, parallel experiments suggest that in certain circumstances, 'LightGBM' can achieve a linear speed-up in training time by using multiple machines.
Author: Guolin Ke [aut, cre], Damien Soukhavong [aut], James Lamb [aut], Qi Meng [aut], Thomas Finley [aut], Taifeng Wang [aut], Wei Chen [aut], Weidong Ma [aut], Qiwei Ye [aut], Tie-Yan Liu [aut], Yachen Yan [ctb], Microsoft Corporation [cph], Dropbox, Inc. [cph], Jay Loden [cph], Dave Daeschler [cph], Giampaolo Rodola [cph], IBM Corporation [ctb]
Maintainer: Guolin Ke <guolin.ke@microsoft.com>

Diff between lightgbm versions 3.0.0 dated 2020-09-21 and 3.0.0.2 dated 2020-10-01

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New package IsoCorr with initial version 1.0
Package: IsoCorr
Type: Package
Title: Correcting Drift and Carry-over in Continuous Isotopic Measurements
Version: 1.0
Author: Jeroen D.M. Schreel
Maintainer: Jeroen D.M. Schreel <Jeroen.Schreel@gmail.com>
Description: A series of functions that allow an easy and fast correction for drift and carry-over in continuous isotopic measurements. This implementation provides queries allowing users to perform the implemented corrections according to their needs. These functions further enable the processing of large datasets and can provides apt visualizations of the corrections performed.
Depends: R (>= 3.5.0)
Imports: stats, graphics
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-09-28 13:48:02 UTC; UGent
Repository: CRAN
Date/Publication: 2020-10-01 08:30:12 UTC

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New package FoReco with initial version 0.1.0
Type: Package
Package: FoReco
Title: Point Forecast Reconciliation
Version: 0.1.0
Authors@R: c(person(given = "Daniele", family = "Girolimetto", role = c("aut", "cre", "fnd"), email = "daniele.girolimetto@studenti.unipd.it"), person(given = "Tommaso", family = "Di Fonzo", role = c("aut", "fnd")))
Description: Provides classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures for cross-sectional, temporal, and cross-temporal linearly constrained time series.
License: GPL-3
URL: https://github.com/daniGiro/FoReco, https://danigiro.github.io/FoReco/
BugReports: https://github.com/daniGiro/FoReco/issues
Depends: R (>= 2.10), Matrix, osqp, stats
Imports: cli, corpcor, methods, pracma
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 7.1.1
Packaged: 2020-09-28 13:45:10 UTC; daniele
Author: Daniele Girolimetto [aut, cre, fnd], Tommaso Di Fonzo [aut, fnd]
Maintainer: Daniele Girolimetto <daniele.girolimetto@studenti.unipd.it>
Repository: CRAN
Date/Publication: 2020-10-01 08:20:03 UTC

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New package epitweetr with initial version 0.1.20
Package: epitweetr
Title: Early Detection of Public Health Threats from Twitter Data
Version: 0.1.20
Authors@R: c( person(given = "Francisco", family = "Orchard", role = c("aut", "ctr"), email = "f.orchard@epiconcept.fr", comment = c(structure("0000-0001-5793-3301", .Names = "ORCID"), "Author of the package and original code")), person(given = "Laura", family = "Espinosa", role = c("aut", "cre", "fnd"), email = "laura.espinosa@ecdc.europa.eu", comment = "Project manager, author of the design and concept of the package, and package maintainer"), person(given = "Ariana", family = "Wijermans", role = "ctb", email = "ariana.wijermans@ecdc.europa.eu", comment = "Contributor to the design and concept of the package"), person(given = "Thomas", family = "Mollet", role = c("ctb", "fnd"), email = "thomas.mollet@ecdc.europa.eu", comment = "Business owner of the project, and contributor to the design and concept of the package"), person(given = "Adrian", family = "Prodan", role = "ctb", email = "adrian.prodan@ecdc.europa.eu"), person(given = "Thomas", family = "Czernichow", role = "ctb", email = "thomas.czernichow@epiconcept.fr"), person(given = "Maria", family = "Prieto Gonzalez", role = "ctb", email = "m.gonzalez@epiconcept.fr"), person(given = "Esther", family = "Kissling", role = "ctb", email = "e.kissling@epiconcept.fr"), person(given = "Michael", family = "Höhle", role = "ctb", email = "hoehle@math.su.se") )
Description: It allows you to automatically monitor trends of tweets by time, place and topic aiming at detecting public health threats early through the detection of signals (e.g. an unusual increase in the number of tweets). It was designed to focus on infectious diseases, and it can be extended to all hazards or other fields of study by modifying the topics and keywords.
License: EUPL
URL: https://github.com/EU-ECDC/epitweetr
BugReports: https://github.com/EU-ECDC/epitweetr/issues
Encoding: UTF-8
LazyData: true
Imports: bit64, dplyr, plyr, DT, httpuv, httr, jsonlite, keyring, emayili, ggplot2, magrittr, parallel, plotly, rtweet, readxl, rgeos, rgdal, rmarkdown, rnaturalearthdata, shiny, sp, stringr, stats, tidyverse, tidytext, tokenizers, tools, utils, xtable, xml2
RoxygenNote: 7.1.0
Suggests: knitr, taskscheduleR
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-28 13:02:04 UTC; fod
Author: Francisco Orchard [aut, ctr] (<https://orcid.org/0000-0001-5793-3301>, Author of the package and original code), Laura Espinosa [aut, cre, fnd] (Project manager, author of the design and concept of the package, and package maintainer), Ariana Wijermans [ctb] (Contributor to the design and concept of the package), Thomas Mollet [ctb, fnd] (Business owner of the project, and contributor to the design and concept of the package), Adrian Prodan [ctb], Thomas Czernichow [ctb], Maria Prieto Gonzalez [ctb], Esther Kissling [ctb], Michael Höhle [ctb]
Maintainer: Laura Espinosa <laura.espinosa@ecdc.europa.eu>
Repository: CRAN
Date/Publication: 2020-10-01 08:30:09 UTC

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New package DImodels with initial version 1.0
Package: DImodels
Type: Package
Title: Diversity-Interactions (DI) Models
Version: 1.0
Date: 2020-09-28
Authors@R: c(person("Rafael", "de Andrade Moral", role = c("aut", "cre"), email = "rafael.deandrademoral@mu.ie"), person("John", "Connolly", role = "aut"), person("Caroline", "Brophy", role = "aut"))
Author: Rafael de Andrade Moral [aut, cre], John Connolly [aut], Caroline Brophy [aut]
Maintainer: Rafael de Andrade Moral <rafael.deandrademoral@mu.ie>
Imports: methods, graphics, stats, utils, hnp, rootSolve
Suggests: ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.6.0)
Description: The 'DImodels' package is suitable for analysing data from biodiversity and ecosystem function studies using the Diversity-Interactions (DI) modelling approach introduced by Kirwan et al. (2009) <doi:10.1890/08-1684.1>. Suitable data will contain proportions for each species and a community-level response variable, and may also include additional factors, such as blocks or treatments. The package can perform data manipulation tasks, such as computing pairwise interactions (the DI_data_prepare() function), can perform an automated model selection process (the autoDI() function) and has the flexibility to fit a wide range of user-defined DI models (the DI() function).
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-09-28 20:07:39 UTC; rafael
Repository: CRAN
Date/Publication: 2020-10-01 09:00:05 UTC

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New package bigSurvSGD with initial version 0.0.1
Package: bigSurvSGD
Type: Package
Title: Big Survival Analysis Using Stochastic Gradient Descent
Version: 0.0.1
Date: 2020-09-11
Authors@R: c(person(given = "Aliasghar", family = "Tarkhan", role = c("aut", "cre"), email = "atarkhan@uw.edu"), person(given = "Noah", family = "Simon", role = "aut", email = "nrsimon@uw.edu"))
Description: Fits Cox model via stochastic gradient descent. This implementation avoids computational instability of the standard Cox Model when dealing large datasets. Furthermore, it scales up with large datasets that do not fit the memory. It also handles large sparse datasets using proximal stochastic gradient descent algorithm. For more details about the method, please see Aliasghar Tarkhan and Noah Simon (2020) <arXiv:2003.00116v2>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.4), bigmemory, doParallel, survival
Depends: foreach, parallel, R (>= 3.5.0)
LinkingTo: Rcpp
Encoding: UTF-8
RoxygenNote: 7.1.0
BugReports: https://github.com/atarkhan/bigSurvSGD/issues
NeedsCompilation: yes
Packaged: 2020-09-28 16:59:42 UTC; arash
Author: Aliasghar Tarkhan [aut, cre], Noah Simon [aut]
Maintainer: Aliasghar Tarkhan <atarkhan@uw.edu>
Repository: CRAN
Date/Publication: 2020-10-01 08:40:02 UTC

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Package timedeppar updated to version 1.0.1 with previous version 1.0 dated 2020-07-08

Title: Infer Constant and Stochastic, Time-Dependent Model Parameters
Description: Infer constant and stochastic, time-dependent parameters to consider intrinsic stochasticity of a dynamic model and/or to analyze model structure modifications that could reduce model deficits. The concept is based on inferring time-dependent parameters as stochastic processes in the form of Ornstein-Uhlenbeck processes jointly with inferring constant model parameters and parameters of the Ornstein-Uhlenbeck processes. The package also contains functions to sample from and calculate densities of Ornstein-Uhlenbeck processes. References: Tomassini, L., Reichert, P., Kuensch, H.-R. Buser, C., Knutti, R. and Borsuk, M.E. (2009) "A smoothing algorithm for estimating stochastic, continuous-time model parameters and its application to a simple climate model." Journal of the Royal Statistical Society: Series C (Applied Statistics) 58, 679-704, <doi:10.1111/j.1467-9876.2009.00678.x>; Reichert, P., and Mieleitner, J. (2009) "Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters." Water Resources Research, 45, W10402, <doi:10.1029/2009WR007814>; Reichert, P., Ammann, L. and Fenicia, F. (2020) "Potential and challenges of investigating intrinsic uncertainty of hydrological models with stochastic, time-dependent parameters", in preparation; Reichert, P. (2020) "timedeppar: An R package for inferring stochastic, time-dependent model parameters", in preparation.
Author: Peter Reichert <peter.reichert@eawag.ch>
Maintainer: Peter Reichert <peter.reichert@eawag.ch>

Diff between timedeppar versions 1.0 dated 2020-07-08 and 1.0.1 dated 2020-10-01

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Package semEff updated to version 0.4.0 with previous version 0.3.0 dated 2020-03-25

Title: Automatic Calculation of Effects for Piecewise Structural Equation Models
Description: Provides functionality to automatically calculate direct, indirect, and total effects for piecewise structural equation models, comprising lists of fitted models representing structured equations (Lefcheck 2016 <doi:10/f8s8rb>). Confidence intervals are provided via bootstrapping.
Author: Mark Murphy [aut, cre]
Maintainer: Mark Murphy <murphymv@gmail.com>

Diff between semEff versions 0.3.0 dated 2020-03-25 and 0.4.0 dated 2020-10-01

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Package SCCS updated to version 1.2 with previous version 1.1 dated 2019-06-04

Title: The Self-Controlled Case Series Method
Description: Various self-controlled case series models used to investigate associations between time-varying exposures such as vaccines or other drugs or non drug exposures and an adverse event can be fitted. Detailed information on the self-controlled case series method and its extensions with more examples can be found in Farrington, P., Whitaker, H., and Ghebremichael Weldeselassie, Y. (2018, ISBN: 978-1-4987-8159-6. Self-controlled Case Series studies: A modelling Guide with R. Boca Raton: Chapman & Hall/CRC Press) and <https://sccs-studies.info>.
Author: Yonas Ghebremichael Weldeselassie, Heather Whitaker, Paddy Farrington
Maintainer: "Yonas Ghebremichael-Weldeselassie" <y.weldeselassie@warwick.ac.uk>

Diff between SCCS versions 1.1 dated 2019-06-04 and 1.2 dated 2020-10-01

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Package Mega2R updated to version 1.0.8 with previous version 1.0.7 dated 2020-05-19

Title: Accessing and Processing a 'Mega2' Genetic Database
Description: Uses as input genetic data that have been reformatted and stored in a 'SQLite' database; this database is initially created by the standalone 'mega2' C++ program (available freely from <https://watson.hgen.pitt.edu/register/>). Loads and manipulates data frames containing genotype, phenotype, and family information from the input 'SQLite' database, and decompresses needed subsets of the genotype data, on the fly, in a memory efficient manner. We have also created several more functions that illustrate how to use the data frames as well as perform useful tasks: these permit one to run the 'pedgene' package to carry out gene-based association tests on family data using selected marker subsets, to run the 'SKAT' package to carry out gene-based association tests using selected marker subsets, to run the 'famSKATRC' package to carry out gene-based association tests on families (optionally) and with rare or common variants using selected marker subsets, to output the 'Mega2R' data as a VCF file and related files (for phenotype and family data), and to convert the data frames into CoreArray Genomic Data Structure (GDS) format.
Author: Robert V. Baron [aut], Daniel E. Weeks [aut, cre], University of Pittsburgh [cph]
Maintainer: Daniel E. Weeks <weeks@pitt.edu>

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Package cpp11 updated to version 0.2.2 with previous version 0.2.1 dated 2020-08-11

Title: A C++11 Interface for R's C Interface
Description: Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
Author: Jim Hester [aut, cre] (<https://orcid.org/0000-0002-2739-7082>), Romain François [ctb], Benjamin Kietzman [ctb], RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>

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Package corHMM updated to version 2.4 with previous version 2.3 dated 2020-08-05

Title: Hidden Markov Models of Character Evolution
Description: Fits hidden Markov models of discrete character evolution which allow different transition rate classes on different portions of a phylogeny. Beaulieu et al (2013) <doi:10.1093/sysbio/syt034>.
Author: Jeremy Beaulieu [aut, cre], Brian O'Meara [aut], Jeffrey Oliver [aut], James Boyko [aut]
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>

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Package arenar updated to version 0.2.0 with previous version 0.1.8 dated 2020-07-27

Title: Arena for the Exploration and Comparison of any ML Models
Description: Generates data for challenging machine learning models in 'Arena' <https://arena.drwhy.ai> - an interactive web application. You can start the server with XAI (Explainable Artificial Intelligence) plots to be generated on-demand or precalculate and auto-upload data file beside shareable 'Arena' URL.
Author: Piotr Piątyszek [aut, cre], Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>)
Maintainer: Piotr Piątyszek <piotrp@wektor.xyz>

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Package rfacebookstat updated to version 2.1.9 with previous version 2.1.7 dated 2020-08-27

Title: Load Data from Facebook API Marketing
Description: Load data by campaigns, ads, ad sets and insights, ad account and business manager from Facebook Marketing API into R. For more details see official documents by Facebook Marketing API <https://developers.facebook.com/docs/marketing-apis/>.
Author: Alexey Seleznev [aut, cre] (<https://orcid.org/0000-0003-0410-7385>)
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package saeME updated to version 1.2.2 with previous version 1.2.1 dated 2020-09-03

Title: Small Area Estimation with Measurement Error
Description: A set of functions and datasets implementation of small area estimation when auxiliary variable is measured with error. These functions provide a empirical best linear unbiased prediction (EBLUP) estimator and mean squared error (MSE) estimator of the EBLUP. These models were developed by Ybarra and Lohr (2008) <doi:10.1093/biomet/asn048>.
Author: Muhammad Rifqi Mubarak [aut, cre], Azka Ubaidillah [aut]
Maintainer: Muhammad Rifqi Mubarak <16.9304@stis.ac.id>

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Package nptest updated to version 1.0-2 with previous version 1.0-1 dated 2020-09-11

Title: Nonparametric Bootstrap and Permutation Tests
Description: Robust nonparametric bootstrap and permutation tests for location, correlation, and regression problems, as described in Helwig (2019a) <doi:10.1002/wics.1457> and Helwig (2019b) <doi:10.1016/j.neuroimage.2019.116030>. Univariate and multivariate tests are supported. For each problem, exact tests and Monte Carlo approximations are available. Five different nonparametric bootstrap confidence intervals are implemented. Parallel computing is implemented via the 'parallel' package.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Package IRISMustangMetrics updated to version 2.4.2 with previous version 2.4.1 dated 2020-07-27

Title: Statistics and Metrics for Seismic Data
Description: Classes and functions for metrics calculation as part of the 'IRIS DMC MUSTANG' project. The functionality in this package builds upon the base classes of the 'IRISSeismic' package. Metrics include basic statistics as well as higher level 'health' metrics that can help identify problematic seismometers.
Author: Jonathan Callahan [aut], Rob Casey [aut], Mary Templeton [aut], Gillian Sharer [aut, cre]
Maintainer: Gillian Sharer <gillian@iris.washington.edu>

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Package devEMF updated to version 4.0-2 with previous version 4.0-1 dated 2020-09-02

Title: EMF Graphics Output Device
Description: Output graphics to EMF+/EMF.
Author: Philip Johnson
Maintainer: Philip Johnson <plfj@umd.edu>

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Package r2dii.match updated to version 0.0.6 with previous version 0.0.5 dated 2020-09-11

Title: Tools to Match Financial Portfolios with Climate Data
Description: These tools implement in R a fundamental part of the software 'PACTA' (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between financial portfolios and climate scenarios (<https://2degrees-investing.org/>). Financial institutions use 'PACTA' to study how their capital allocation impacts the climate. This package matches data from financial portfolios to asset level data from market-intelligence databases (e.g. power plant capacities, emission factors, etc.). This is the first step to assess if a financial portfolio aligns with climate goals.
Author: Mauro Lepore [aut, cre, ctr] (<https://orcid.org/0000-0002-1986-7988>), Jackson Hoffart [aut] (<https://orcid.org/0000-0002-8600-5042>), Klaus Hagedorn [aut], Florence Palandri [aut], Evgeny Petrovsky [aut], 2 Degrees Investing Initiative [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

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