Wed, 08 Apr 2020

Package pollster updated to version 0.1.1 with previous version 0.1.0 dated 2020-03-25

Title: Calculate Crosstab and Topline Tables of Weighted Survey Data
Description: Calculate common types of tables for weighted survey data. Options include topline and (2-way and 3-way) crosstab tables of categorical or ordinal data as well as summary tables of weighted numeric variables. Optionally, include the margin of error at selected confidence intervals including the design effect. The design effect is calculated as described by Kish (1965) <doi:10.1002/bimj.19680100122> beginning on page 257. Output takes the form of tibbles (simple data frames). This package conveniently handles labelled data, such as that commonly used by 'Stata' and 'SPSS.' Complex survey design is not supported at this time.
Author: John D. Johnson [aut, cre]
Maintainer: John D. Johnson <john.d.johnson@marquette.edu>

Diff between pollster versions 0.1.0 dated 2020-03-25 and 0.1.1 dated 2020-04-08

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 R/DesignEffectAndMOE.R      |   12 ------------
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 R/moeWaveCrosstab.R         |   28 +++++++++++++++-------------
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 README.md                   |   29 ++++++++++++++++-------------
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 inst/doc/crosstabs.html     |   24 ++++++++++++------------
 15 files changed, 147 insertions(+), 135 deletions(-)

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Package MatTransMix updated to version 0.1.8 with previous version 0.1.7 dated 2020-02-28

Title: Clustering with Matrix Gaussian and Matrix Transformation Mixture Models
Description: Provides matrix Gaussian mixture models, matrix transformation mixture models and their model-based clustering results. The parsimonious models of the mean matrices and variance covariance matrices are implemented with a total of 196 variations.
Author: Xuwen Zhu [aut, cre], Volodymyr Melnykov [aut], Shuchismita Sarkar [ctb], Michael Hutt [ctb, cph], Stephen Moshier [ctb, cph], Rouben Rostamian [ctb, cph], Carl Edward Rasmussen [ctb, cph], Dianne Cook [ctb, cph]
Maintainer: Xuwen Zhu <xzhu20@cba.ua.edu>

Diff between MatTransMix versions 0.1.7 dated 2020-02-28 and 0.1.8 dated 2020-04-08

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Package MazamaCoreUtils updated to version 0.4.3 with previous version 0.4.2 dated 2020-01-08

Title: Utility Functions for Production R Code
Description: A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, and cache management.
Author: Jonathan Callahan [aut, cre], Spencer Pease [aut], Thomas Bergamaschi [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaCoreUtils versions 0.4.2 dated 2020-01-08 and 0.4.3 dated 2020-04-08

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 26 files changed, 1413 insertions(+), 1246 deletions(-)

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Package janitor updated to version 2.0.0 with previous version 1.2.1 dated 2020-01-22

Title: Simple Tools for Examining and Cleaning Dirty Data
Description: The main janitor functions can: perfectly format data.frame column names; provide quick counts of variable combinations (i.e., frequency tables and crosstabs); and isolate duplicate records. Other janitor functions nicely format the tabulation results. These tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel. This package follows the principles of the "tidyverse" and works well with the pipe function %>%. janitor was built with beginning-to-intermediate R users in mind and is optimized for user-friendliness. Advanced R users can already do everything covered here, but with janitor they can do it faster and save their thinking for the fun stuff.
Author: Sam Firke [aut, cre], Bill Denney [ctb], Chris Haid [ctb], Ryan Knight [ctb], Malte Grosser [ctb], Jonathan Zadra [ctb]
Maintainer: Sam Firke <samuel.firke@gmail.com>

Diff between janitor versions 1.2.1 dated 2020-01-22 and 2.0.0 dated 2020-04-08

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 janitor-2.0.0/janitor/R/utils.R                                  |   32 
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 95 files changed, 8280 insertions(+), 8105 deletions(-)

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Package compositions updated to version 1.40-5 with previous version 1.40-4 dated 2020-03-04

Title: Compositional Data Analysis
Description: Provides functions for the consistent analysis of compositional data (e.g. portions of substances) and positive numbers (e.g. concentrations) in the way proposed by J. Aitchison and V. Pawlowsky-Glahn.
Author: K. Gerald van den Boogaart <boogaart@hzdr.de>, Raimon Tolosana-Delgado, Matevz Bren
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>

Diff between compositions versions 1.40-4 dated 2020-03-04 and 1.40-5 dated 2020-04-08

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Package parsetools updated to version 0.1.3 with previous version 0.1.2 dated 2020-03-01

Title: Parse Tools
Description: Tools and utilities for dealing with parse data. Parse data represents the parse tree as data with location and type information. This package provides functions for navigating the parse tree as a data frame.
Author: Andrew Redd [aut, cre], R Consortium [cph, fnd]
Maintainer: Andrew Redd <andrew.redd@hsc.utah.edu>

Diff between parsetools versions 0.1.2 dated 2020-03-01 and 0.1.3 dated 2020-04-08

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Package mscstts updated to version 0.5.3 with previous version 0.5.2 dated 2019-05-10

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://www.microsoft.com/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>

Diff between mscstts versions 0.5.2 dated 2019-05-10 and 0.5.3 dated 2020-04-08

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More information about mscstts at CRAN
Permanent link

Package lmerTest updated to version 3.1-2 with previous version 3.1-1 dated 2019-12-13

Title: Tests in Linear Mixed Effects Models
Description: Provides p-values in type I, II or III anova and summary tables for lmer model fits (cf. lme4) via Satterthwaite's degrees of freedom method. A Kenward-Roger method is also available via the pbkrtest package. Model selection methods include step, drop1 and anova-like tables for random effects (ranova). Methods for Least-Square means (LS-means) and tests of linear contrasts of fixed effects are also available.
Author: Alexandra Kuznetsova [aut], Per Bruun Brockhoff [aut, ths], Rune Haubo Bojesen Christensen [aut], Sofie Pødenphant Jensen [ctb, cre]
Maintainer: Sofie Pødenphant Jensen <sofp@dtu.dk>

Diff between lmerTest versions 3.1-1 dated 2019-12-13 and 3.1-2 dated 2020-04-08

 DESCRIPTION                      |    8 +--
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 42 files changed, 302 insertions(+), 159 deletions(-)

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New package hmma with initial version 1.0.0
Package: hmma
Type: Package
Title: Constructs Asymmetric Hidden Markov Models
Version: 1.0.0
Authors@R: c(person(given = "Marcos L.P", family = "Bueno", role = "aut", email = "mbueno@cs.ru.nl"), person(given = "Arjen", family = "Hommersom", role = c("aut", "cre"), email = "arjen.hommersom@ou.nl"), person(given = "Joop", family = "Thibaudier", role = "aut", email = "jthibaudier@gmail.com"), person(given = "Marco", family = "Scutari", role = "ctb", email = "marco.scutari@gmail.com"), person(given = "Robert", family = "Ness", role = "ctb"), person("Robert Gentleman and Ross Ihaka", role = "cph"), person("The R Development Core Team", role = "cph"), person("The R Foundation", role = "cph"))
Description: Asymmetric hidden Markov model (HMM-A) learning. HMM-As are similar to regular HMMs, but use Bayesian Networks (BNs) in their emission distribution. The HMM-As can therefore offer more problem insight [Bueno et al. 2017, <doi:10.1016/j.ijar.2017.05.011>].
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
VignetteBuilder: knitr
Suggests: knitr, testthat, rmarkdown
Imports: bnlearn, mhsmm, MCMCpack, Rgraphviz, graph, methods
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-04-08 10:12:52 UTC; joopthibaudier
Author: Marcos L.P Bueno [aut], Arjen Hommersom [aut, cre], Joop Thibaudier [aut], Marco Scutari [ctb], Robert Ness [ctb], Robert Gentleman and Ross Ihaka [cph], The R Development Core Team [cph], The R Foundation [cph]
Maintainer: Arjen Hommersom <arjen.hommersom@ou.nl>
Repository: CRAN
Date/Publication: 2020-04-08 16:00:02 UTC

More information about hmma at CRAN
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Package exampletestr updated to version 1.6.0 with previous version 1.5.2 dated 2019-11-05

Title: Help for Writing Unit Tests Based on Function Examples
Description: Take the examples written in your documentation of functions and use them to create shells (skeletons which must be manually completed by the user) of test files to be tested with the 'testthat' package. Sort of like python 'doctests' for R.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>), Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>), Thomas Quinn [rev] (<https://orcid.org/0000-0003-0286-6329>), Laurent Gatto [rev] (<https://orcid.org/0000-0002-1520-2268>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between exampletestr versions 1.5.2 dated 2019-11-05 and 1.6.0 dated 2020-04-08

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New package dataframeexplorer with initial version 0.1.5
Package: dataframeexplorer
Title: Familiarity with Dataframes Before Data Manipulation
Version: 0.1.5
Authors@R: person("Ashrith", "Reddy", email = "ashrithssreddy@gmail.com", role = c("aut", "cre"))
Description: Real life data is muddy, fuzzy and unpredictable. This makes data manipulations tedious and bringing the data to right shape alone is a major chunk of work. Functions in this package help us get an understanding of dataframes to dramatically reduces data coding time. The package describes the datatypes of columns, generates frequency of each value in a dataframe column, creates percentile table and determines level of dataset.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: tibble, data.table, magrittr, openxlsx, dplyr, plyr, tidyr
NeedsCompilation: no
Packaged: 2020-04-08 12:38:14 UTC; LENOVO
Author: Ashrith Reddy [aut, cre]
Maintainer: Ashrith Reddy <ashrithssreddy@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-08 16:20:02 UTC

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Package optimx updated to version 2020-4.2 with previous version 2020-2.2 dated 2020-02-07

Title: Expanded Replacement and Extension of the 'optim' Function
Description: Provides a replacement and extension of the optim() function to call to several function minimization codes in R in a single statement. These methods handle smooth, possibly box constrained functions of several or many parameters. Note that function 'optimr()' was prepared to simplify the incorporation of minimization codes going forward. Also implements some utility codes and some extra solvers, including safeguarded Newton methods. Many methods previously separate are now included here. This is the version for CRAN.
Author: John C Nash [aut, cre], Ravi Varadhan [aut], Gabor Grothendieck [ctb]
Maintainer: John C Nash <nashjc@uottawa.ca>

Diff between optimx versions 2020-2.2 dated 2020-02-07 and 2020-4.2 dated 2020-04-08

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Package kntnr updated to version 0.4.4 with previous version 0.4.3 dated 2020-03-29

Title: R Client for 'kintone' API
Description: Retrieve data from 'kintone' (<https://www.kintone.com/>) via its API. 'kintone' is an enterprise application platform.
Author: Hiroaki Yutani [aut, cre] (<https://orcid.org/0000-0002-3385-7233>)
Maintainer: Hiroaki Yutani <yutani.ini@gmail.com>

Diff between kntnr versions 0.4.3 dated 2020-03-29 and 0.4.4 dated 2020-04-08

 DESCRIPTION                       |    6 +++---
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Package conflr updated to version 0.1.1 with previous version 0.1.0 dated 2020-03-16

Title: Client for 'Confluence' API
Description: Provides utilities for working with various 'Confluence' API <https://docs.atlassian.com/ConfluenceServer/rest/latest/>, including a functionality to convert an R Markdown document to 'Confluence' format and upload it to 'Confluence' automatically.
Author: Hiroaki Yutani [aut, cre], LINE Corporation [cph]
Maintainer: Hiroaki Yutani <hiroaki.yutani@linecorp.com>

Diff between conflr versions 0.1.0 dated 2020-03-16 and 0.1.1 dated 2020-04-08

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Package DIFtree updated to version 3.1.5 with previous version 3.1.4 dated 2019-01-02

Title: Item Focussed Trees for the Identification of Items in Differential Item Functioning
Description: Item focussed recursive partitioning for simultaneous selection of items and variables that induce Differential Item Functioning (DIF) in dichotomous or polytomous items.
Author: Moritz Berger
Maintainer: Moritz Berger <moritz.berger@imbie.uni-bonn.de>

Diff between DIFtree versions 3.1.4 dated 2019-01-02 and 3.1.5 dated 2020-04-08

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Package parameters updated to version 0.6.1 with previous version 0.6.0 dated 2020-03-12

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>), Søren Højsgaard [aut], Zen J. Lau [ctb]
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between parameters versions 0.6.0 dated 2020-03-12 and 0.6.1 dated 2020-04-08

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New package garchx with initial version 1.0
Package: garchx
Type: Package
Title: Flexible and Robust GARCH-X Modelling
Version: 1.0
Date: 2020-04-7
Author: Genaro Sucarrat [aut, cre]
Maintainer: Genaro Sucarrat <gsucarrat@gmail.com>
Description: Flexible and robust estimation and inference of generalised autoregressive conditional heteroscedasticity (GARCH) models with covariates based on the results by Francq and Thieu (2018) <doi:10.1017/S0266466617000512>. Suitable subsets of the coefficients can be restricted to zero during estimation, and quasi maximum likelihood methods ensure estimates are generally consistent, even when the standardised innovations are non-normal and/or not independent and identically distributed.
License: GPL (>= 2)
Depends: R (>= 3.4.0), zoo
NeedsCompilation: no
Packaged: 2020-04-08 09:18:44 UTC; sucarrat
Repository: CRAN
Date/Publication: 2020-04-08 09:50:02 UTC

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New package dgumbel with initial version 1.0.0
Package: dgumbel
Type: Package
Title: The Gumbel Distribution Functions and Gradients
Version: 1.0.0
Date: 2020-04-07
Authors@R: c(person("Berent Ånund Strømnes","Lunde",role=c("aut","cre","cph"),email="lundeberent@gmail.com"), person("Robin","Hogan",role="ctb", comment = "Author of included Adept library"), person("The University of Reading", role=c("cph"), comment = "Copyright holder of included Adept library"))
Maintainer: Berent Ånund Strømnes Lunde <lundeberent@gmail.com>
Description: Gumbel distribution functions (De Haan L. (2007) <doi:10.1007/0-387-34471-3>) implemented with the techniques of automatic differentiation (Griewank A. (2008) <isbn:978-0-89871-659-7>). With this tool, a user should be able to quickly model extreme events for which the Gumbel distribution is the domain of attraction. The package makes available the density function, the distribution function the quantile function and a random generating function. In addition, it supports gradient functions. The package combines 'Adept' (C++ templated automatic differentiation) (Hogan R. (2017) <doi:10.5281/zenodo.1004730>) and 'Eigen' (templated matrix-vector library) for fast computations of both objective functions and exact gradients. It relies on 'RcppEigen' for easy access to 'Eigen' and bindings to R.
License: GPL (>= 2)
URL: https://github.com/blunde1/dgumbel
BugReports: https://github.com/blunde1/dgumbel/issues
Encoding: UTF-8
Imports: Rcpp (>= 1.0.2)
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2020-04-07 16:23:44 UTC; lunde
Author: Berent Ånund Strømnes Lunde [aut, cre, cph], Robin Hogan [ctb] (Author of included Adept library), The University of Reading [cph] (Copyright holder of included Adept library)
Repository: CRAN
Date/Publication: 2020-04-08 09:20:02 UTC

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New package daqapo with initial version 0.3.0
Package: daqapo
Type: Package
Title: Data Quality Assessment for Process-Oriented Data
Version: 0.3.0
Date: 2020-04-07
Authors@R: c( person("Niels", "Martin", email = "niels.martin@uhasselt.be", role = c("aut", "cre")), person("Greg", "Van Houdt", email = "greg.vanhoudt@uhasselt.be", role = "ctb"), person("Gert", "Janssenswillen", email = "gert.janssenswillen@uhasselt.be", role = "ctb"))
Description: Provides a variety of methods to identify data quality issues in process-oriented data, which are useful to verify data quality in a process mining context. Builds on the class for activity logs implemented in the package 'bupaR'. Methods to identify data quality issues either consider each activity log entry independently (e.g. missing values, activity duration outliers,...), or focus on the relation amongst several activity log entries (e.g. batch registrations, violations of the expected activity order,...).
License: MIT + file LICENSE
URL: https://github.com/nielsmartin
BugReports: https://github.com/nielsmartin/daqapo/issues
LazyData: true
RoxygenNote: 7.1.0
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: dplyr, lubridate, stringdist, stringr, tidyr, xesreadR, rlang, bupaR, readr, edeaR, magrittr, purrr, glue, miniUI, shiny
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-04-07 20:11:20 UTC; lucp8034
Author: Niels Martin [aut, cre], Greg Van Houdt [ctb], Gert Janssenswillen [ctb]
Maintainer: Niels Martin <niels.martin@uhasselt.be>
Repository: CRAN
Date/Publication: 2020-04-08 09:50:05 UTC

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Package multcomp updated to version 1.4-13 with previous version 1.4-12 dated 2020-01-10

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>), Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between multcomp versions 1.4-12 dated 2020-01-10 and 1.4-13 dated 2020-04-08

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Package qgcomp updated to version 2.3.0 with previous version 2.2.2 dated 2020-03-01

Title: Quantile G-Computation
Description: G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <akeil@unc.edu>

Diff between qgcomp versions 2.2.2 dated 2020-03-01 and 2.3.0 dated 2020-04-08

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 42 files changed, 1562 insertions(+), 816 deletions(-)

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Package casen updated to version 0.1.4 with previous version 0.1.3 dated 2020-03-20

Title: Metodos De Estimacion Con Disenio Probabilistico y Estratificado en Encuesta CASEN (Estimation Methods with Probabilistic Stratified Sampling in CASEN Survey)
Description: Funciones para realizar estadistica descriptiva e inferencia con el disenio complejo de la Encuesta CASEN (Encuesta de Caracterizacion Socio-Economica). Incluye datasets que permiten armonizar los codigos de comunas que cambian entre anios y permite convertir a los codigos oficiales de SUBDERE. (Functions to compute descriptive and inferential statistics with CASEN Survey [Socio-Economic Characterization Survey] complex design. Includes datasets to harmonize commune codes that change across years and allows to convert to official SUBDERE codes.)
Author: Mauricio Vargas [aut, cre] (<https://orcid.org/0000-0003-1017-7574>), Ricardo Aravena [ths], Klaus Lehmann [ctb] (Revision de las primeras versiones del software), Kirill Muller [ctb] (Actualizacion para la compatibilidad con tibble v3.0), Pontificia Universidad Catolica de Chile [cph], Ministerio de Desarrollo Social (MDS) [dtc], Subsecretaria de Desarrollo Regional (SUBDERE) [dtc]
Maintainer: Mauricio Vargas <mvargas@dcc.uchile.cl>

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More information about casen at CRAN
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Package rplos updated to version 0.9.0 with previous version 0.8.6 dated 2019-05-03

Title: Interface to the Search API for 'PLoS' Journals
Description: A programmatic interface to the 'SOLR' based search API (<http://api.plos.org/>) provided by the Public Library of Science journals to search their articles. Functions are included for searching for articles, retrieving articles, making plots, doing 'faceted' searches, 'highlight' searches, and viewing results of 'highlighted' searches in a browser.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Carl Boettiger [aut], Karthik Ram [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package rasciidoc updated to version 2.1.0 with previous version 2.0.1 dated 2019-12-18

Title: Create Reports Using R and 'asciidoc'
Description: Inspired by Karl Broman`s reader on using 'knitr' with 'asciidoc' (<http://kbroman.org/knitr_knutshell/pages/asciidoc.html>), this is merely a wrapper to 'knitr' and 'asciidoc'.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

Diff between rasciidoc versions 2.0.1 dated 2019-12-18 and 2.1.0 dated 2020-04-08

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