Tue, 03 Sep 2019

New package Rraven with initial version 1.0.7
Type: Package
Package: Rraven
Title: Connecting R and 'Raven' Sound Analysis Software
Version: 1.0.7
Date: 2019-09-03
Authors@R: person("Marcelo", "Araya-Salas", role = c("aut", "cre"), email = "marceloa27@gmail.com", comment = c(ORCID = "0000-0003-3594-619X"))
Maintainer: Marcelo Araya-Salas <marceloa27@gmail.com>
Description: A tool to exchange data between R and 'Raven' sound analysis software (Cornell Lab of Ornithology). Functions work on data formats compatible with the R package 'warbleR'.
License: GPL (>= 2)
Imports: pbapply, warbleR, utils, stats, seewave, tuneR, NatureSounds
Depends: R (>= 3.2.1)
LazyData: TRUE
URL: https://github.com/maRce10/Rraven
BugReports: https://github.com/maRce10/Rraven/issues
NeedsCompilation: no
Suggests: knitr, vegan, dplyr, kableExtra
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Packaged: 2019-09-03 22:04:49 UTC; m
Repository: CRAN
Date/Publication: 2019-09-03 23:10:03 UTC
Author: Marcelo Araya-Salas [aut, cre] (<https://orcid.org/0000-0003-3594-619X>)

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Package survminer updated to version 0.4.6 with previous version 0.4.5 dated 2019-08-03

Title: Drawing Survival Curves using 'ggplot2'
Description: Contains the function 'ggsurvplot()' for drawing easily beautiful and 'ready-to-publish' survival curves with the 'number at risk' table and 'censoring count plot'. Other functions are also available to plot adjusted curves for `Cox` model and to visually examine 'Cox' model assumptions.
Author: Alboukadel Kassambara [aut, cre], Marcin Kosinski [aut], Przemyslaw Biecek [aut], Scheipl Fabian [ctb]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between survminer versions 0.4.5 dated 2019-08-03 and 0.4.6 dated 2019-09-03

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Package rstatix updated to version 0.2.0 with previous version 0.1.2 dated 2019-08-03

Title: Pipe-Friendly Framework for Basic Statistical Tests
Description: Provides a simple and intuitive pipe-friendly framework, coherent with the 'tidyverse' design philosophy, for performing basic statistical tests, including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation analyses. The output of each test is automatically transformed into a tidy data frame to facilitate visualization. Additional functions are available for reshaping, reordering, manipulating and visualizing correlation matrix. Functions are also included to facilitate the analysis of factorial experiments, including purely 'within-Ss' designs (repeated measures), purely 'between-Ss' designs, and mixed 'within-and-between-Ss' designs. It's also possible to compute several effect size metrics, including "eta squared" for ANOVA, "Cohen's d" for t-test and "Cramer's V" for the association between categorical variables. The package contains helper functions for identifying univariate and multivariate outliers, assessing normality and homogeneity of variances.
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between rstatix versions 0.1.2 dated 2019-08-03 and 0.2.0 dated 2019-09-03

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Package mockery updated to version 0.4.2 with previous version 0.4.1.1 dated 2018-08-19

Title: Mocking Library for R
Description: The two main functionalities of this package are creating mock objects (functions) and selectively intercepting calls to a given function that originate in some other function. It can be used with any testing framework available for R. Mock objects can be injected with either this package's own stub() function or a similar with_mock() facility present in the 'testthat' package.
Author: Noam Finkelstein [aut], Lukasz Bartnik [aut], Jim Hester [cre]
Maintainer: Jim Hester <jim.hester@rstudio.com>

Diff between mockery versions 0.4.1.1 dated 2018-08-19 and 0.4.2 dated 2019-09-03

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Package textfeatures updated to version 0.3.3 with previous version 0.3.2 dated 2019-04-12

Title: Extracts Features from Text
Description: A tool for extracting some generic features (e.g., number of words, line breaks, characters per word, URLs, lower case, upper case, commas, periods, exclamation points, etc.) from strings of text.
Author: Michael W. Kearney [aut, cre] (<https://orcid.org/0000-0002-0730-4694>), Emil Hvitfeldt [ctb] (<https://orcid.org/0000-0002-0679-1945>)
Maintainer: Michael W. Kearney <kearneymw@missouri.edu>

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New package optweight with initial version 0.2.4
Package: optweight
Type: Package
Title: Targeted Stable Balancing Weights Using Optimization
Version: 0.2.4
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Description: Use optimization to estimate weights that balance covariates for binary, multinomial, and continuous treatments in the spirit of Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>. The degree of balance can be specified for each covariate. In addition, sampling weights can be estimated that allow a sample to generalize to a population specified with given target moments of covariates.
Depends: R (>= 3.4.0)
Imports: rosqp (>= 0.1.0), Matrix (>= 1.2-13), ggplot2 (>= 3.0.0)
Suggests: MatchIt, twang (>= 1.5)
License: GPL
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2019-09-03 21:09:52 UTC; NoahGreifer
Repository: CRAN
Date/Publication: 2019-09-03 21:30:02 UTC

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Package ggpubr updated to version 0.2.3 with previous version 0.2.2 dated 2019-08-07

Title: 'ggplot2' Based Publication Ready Plots
Description: The 'ggplot2' package is excellent and flexible for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for publication. Furthermore, to customize a 'ggplot', the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. 'ggpubr' provides some easy-to-use functions for creating and customizing 'ggplot2'- based publication ready plots.
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between ggpubr versions 0.2.2 dated 2019-08-07 and 0.2.3 dated 2019-09-03

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Package fdaMixed updated to version 0.6 with previous version 0.5 dated 2017-03-07

Title: Functional Data Analysis in a Mixed Model Framework
Description: Likelihood based analysis of 1-dimension functional data in a mixed-effects model framework. Matrix computation are approximated by semi-explicit operator equivalents with linear computational complexity. Markussen (2013) <doi:10.3150/11-BEJ389>.
Author: Bo Markussen [aut, cre]
Maintainer: Bo Markussen <bomar@math.ku.dk>

Diff between fdaMixed versions 0.5 dated 2017-03-07 and 0.6 dated 2019-09-03

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Package openblender updated to version 0.2.0 with previous version 0.1.0 dated 2019-08-28

Title: Request <https://openblender.io> API Services
Description: Interface to make HTTP requests to 'OpenBlender' API services. Go to <https://openblender.io> for more information.
Author: Open Blender Inc. [cph], Daniel V. Pinacho [aut, cre]
Maintainer: Daniel V. Pinacho <danielvpinacho@gmail.com>

Diff between openblender versions 0.1.0 dated 2019-08-28 and 0.2.0 dated 2019-09-03

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Package feather updated to version 0.3.4 with previous version 0.3.3 dated 2019-03-27

Title: R Bindings to the Feather 'API'
Description: Read and write feather files, a lightweight binary columnar data store designed for maximum speed.
Author: Hadley Wickham [aut, cre], RStudio [cph], Feather developers [ctb] (Bundled feather library), Google [ctb] (Bundled flatbuffers code), LevelDB Authors [ctb]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between feather versions 0.3.3 dated 2019-03-27 and 0.3.4 dated 2019-09-03

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Package cloudml updated to version 0.6.1 with previous version 0.6.0 dated 2018-08-27

Title: Interface to the Google Cloud Machine Learning Platform
Description: Interface to the Google Cloud Machine Learning Platform <https://cloud.google.com/ml-engine>, which provides cloud tools for training machine learning models.
Author: Daniel Falbel [aut, cre], Javier Luraschi [aut], JJ Allaire [aut], Kevin Ushey [aut], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package Boom updated to version 0.9.2 with previous version 0.9.1 dated 2019-06-06

Title: Bayesian Object Oriented Modeling
Description: A C++ library for Bayesian modeling, with an emphasis on Markov chain Monte Carlo. Although boom contains a few R utilities (mainly plotting functions), its primary purpose is to install the BOOM C++ library on your system so that other packages can link against it.
Author: Steven L. Scott is the sole author and creator of the BOOM project. Some code in the BOOM libraries has been modified from other open source projects. These include Cephes (obtained from Netlib, written by Stephen L. Moshier), NEWUOA (M.J.D Powell, obtained from Powell's web site), and a modified version of the R math libraries (R core development team). Original copyright notices have been maintained in all source files. In these cases, copyright claimed by Steven L. Scott is limited to modifications made to the original code. Google claims copyright for code written while Steven L. Scott was employed at Google from 2008 - 2018, but BOOM is not an officially supported Google project.
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

Diff between Boom versions 0.9.1 dated 2019-06-06 and 0.9.2 dated 2019-09-03

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 R/boxplot.true.R                                                                          |   15 
 inst/include/LinAlg/Selector.hpp                                                          |    2 
 inst/include/LinAlg/SubMatrix.hpp                                                         |    1 
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 inst/include/stats/Mspline.hpp                                                            |   87 +-
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 man/mscan.Rd                                                                              |    6 
 src/Bmath/qgamma.cpp                                                                      |    3 
 src/LinAlg/Matrix.cpp                                                                     |   27 
 src/LinAlg/SubMatrix.cpp                                                                  |   10 
 src/Makevars                                                                              |    3 
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 src/boom_r_tools.cpp                                                                      |   16 
 src/cpputil/concatenate_strings.cpp                                                       |only
 src/cpputil/split.cpp                                                                     |  155 ++++-
 src/list_io.cpp                                                                           |   37 -
 src/prior_specification.cpp                                                               |    2 
 src/stats/Bspline.cpp                                                                     |   66 +-
 src/stats/summary.cpp                                                                     |    5 
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Package tidypredict updated to version 0.4.3 with previous version 0.4.2 dated 2019-07-15

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar@rstudio.com>

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Package QBAsyDist updated to version 0.1.2 with previous version 0.1.1 dated 2019-05-03

Title: Asymmetric Distributions and Quantile Estimation
Description: Provides the local polynomial maximum likelihood estimates for the location and scale functions as well as the semiparametric quantile estimates in the generalized quantile-based asymmetric distributional setting. These functions are useful for any member of the generalized quantile-based asymmetric family of distributions.
Author: Rezaul Karim <rezaul@juniv.edu>, Irène Gijbels <Irene.Gijbels@kuleuven.be>, Anneleen Verhasselt <anneleen.verhasselt@uhasselt.be >
Maintainer: Md Rezaul Karim <rezaul@juniv.edu>

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Permanent link

Package nonneg.cg updated to version 0.1.5 with previous version 0.1.1 dated 2019-02-18

Title: Non-Negative Conjugate-Gradient Minimizer
Description: Minimize a differentiable function subject to all the variables being non-negative (i.e. >= 0), using a Conjugate-Gradient algorithm based on a modified Polak-Ribiere-Polyak formula as described in (Li, Can, 2013, <https://www.hindawi.com/journals/jam/2013/986317/abs/>).
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between nonneg.cg versions 0.1.1 dated 2019-02-18 and 0.1.5 dated 2019-09-03

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More information about nonneg.cg at CRAN
Permanent link

Package vivo updated to version 0.1.1 with previous version 0.1.0 dated 2019-06-17

Title: Local Variable Importance via Oscillations of Ceteris Paribus Profiles
Description: Provides an easy to calculate variable importance measure based on Ceteris Paribus plot and is calculated in eight variants. We obtain eight variants measure through the possible combinations of three parameters such as absolute_deviation, point and density.
Author: Anna Kozak [aut, cre], Przemyslaw Biecek [aut, ths]
Maintainer: Anna Kozak <anna1993kozak@gmail.com>

Diff between vivo versions 0.1.0 dated 2019-06-17 and 0.1.1 dated 2019-09-03

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More information about vivo at CRAN
Permanent link

Package effects updated to version 4.1-2 with previous version 4.1-1 dated 2019-05-28

Title: Effect Displays for Linear, Generalized Linear, and Other Models
Description: Graphical and tabular effect displays, e.g., of interactions, for various statistical models with linear predictors.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Brad Price [aut], Michael Friendly [aut], Jangman Hong [aut], Robert Andersen [ctb], David Firth [ctb], Steve Taylor [ctb], R Core Team [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

Diff between effects versions 4.1-1 dated 2019-05-28 and 4.1-2 dated 2019-09-03

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More information about effects at CRAN
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New package thickmatch with initial version 0.1.0
Package: thickmatch
Type: Package
Title: Threshold Matching for Thick Description for Optimal Matching in Observational Studies
Version: 0.1.0
Author: Ruoqi Yu
Maintainer: Ruoqi Yu <ruoqiyu@wharton.upenn.edu>
Description: Conducts several closest matched pairs to strengthen a matched quantitative comparison of many pairs by thick description in observational studies. Rosenbaum, P. R. (2017). <doi:10.1080/10618600.2016.1152971>.
License: MIT+file LICENSE
Encoding: UTF-8
LazyData: true
Imports: rcbalance, stats, liqueueR, plyr, mvnfast, methods, DiPs
Suggests: optmatch
Note: One minimum cost flow problem may have several or many solutions that are equivalent in providing the same minimum total or mean cost. Minor differences between computers or implementations may have the minor consequence of altering which equivalent solution is produced.
NeedsCompilation: no
Packaged: 2019-09-02 18:14:46 UTC; ruoqi
Repository: CRAN
Date/Publication: 2019-09-03 16:10:02 UTC

More information about thickmatch at CRAN
Permanent link

Package PPQplan updated to version 1.0.0 with previous version 0.1.0 dated 2018-06-15

Title: Process Performance Qualification (PPQ) Plans in Chemistry, Manufacturing and Controls (CMC) Statistical Analysis
Description: Assessment for statistically-based PPQ sampling plan, including calculating the passing probability, optimizing the baseline and high performance cutoff points, visualizing the PPQ plan and power dynamically. The analytical idea is based on the simulation methods from the textbook "Burdick, R. K., LeBlond, D. J., Pfahler, L. B., Quiroz, J., Sidor, L., Vukovinsky, K., & Zhang, L. (2017). Statistical Methods for CMC Applications. In Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry (pp. 227-250). Springer, Cham."
Author: Yalin Zhu [aut, cre] (<https://orcid.org/0000-0003-3830-8660>), Merck & Co., Inc. [cph]
Maintainer: Yalin Zhu <yalin.zhu@merck.com>

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More information about PPQplan at CRAN
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Package pkgdown updated to version 1.4.0 with previous version 1.3.0 dated 2018-12-06

Title: Make Static HTML Documentation for a Package
Description: Generate an attractive and useful website from a source package. 'pkgdown' converts your documentation, vignettes, 'README', and more to 'HTML' making it easy to share information about your package online.
Author: Hadley Wickham [aut, cre] (<https://orcid.org/0000-0003-4757-117X>), Jay Hesselberth [aut] (<https://orcid.org/0000-0002-6299-179X>), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package gdtools updated to version 0.2.0 with previous version 0.1.9 dated 2019-06-18

Title: Utilities for Graphical Rendering
Description: Useful tools for writing vector graphics devices.
Author: David Gohel [aut, cre], Hadley Wickham [aut], Lionel Henry [aut], Jeroen Ooms [aut] (<https://orcid.org/0000-0002-4035-0289>), Yixuan Qiu [ctb], R Core Team [cph] (Cairo code from X11 device), RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between gdtools versions 0.1.9 dated 2019-06-18 and 0.2.0 dated 2019-09-03

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More information about gdtools at CRAN
Permanent link

New package distributions3 with initial version 0.1.1
Package: distributions3
Title: Probability Distributions as S3 Objects
Version: 0.1.1
Authors@R: c(person(given = "Alex", family = "Hayes", role = c("aut", "cre"), email = "alexpghayes@gmail.com", comment = c(ORCID = "0000-0002-4985-5160")), person(given = "Ralph", family = "Moller-Trane", role = "aut"), person(given = "Emil", family = "Hvitfeldt", role = "ctb", email = "emilhhvitfeldt@gmail.com", comment = c(ORCID = "0000-0002-0679-1945")), person(given = "Daniel", family = "Jordan", role = "ctb", email = "dandermotj@gmail.com"), person(given = "Bruna", family = "Wundervald", role = "ctb", email = "brunadaviesw@gmail.com"))
Description: Tools to create and manipulate probability distributions using S3. Generics random(), pdf(), cdf() and quantile() provide replacements for base R's r/d/p/q style functions. Functions and arguments have been named carefully to minimize confusion for students in intro stats courses. The documentation for each distribution contains detailed mathematical notes.
License: MIT + file LICENSE
URL: https://github.com/alexpghayes/distributions3
BugReports: https://github.com/alexpghayes/distributions3/issues
Imports: ellipsis, glue
Suggests: covr, cowplot, ggplot2, knitr, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-09-02 17:10:00 UTC; alex
Author: Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>), Ralph Moller-Trane [aut], Emil Hvitfeldt [ctb] (<https://orcid.org/0000-0002-0679-1945>), Daniel Jordan [ctb], Bruna Wundervald [ctb]
Maintainer: Alex Hayes <alexpghayes@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-03 16:10:06 UTC

More information about distributions3 at CRAN
Permanent link

Package tsBSS updated to version 0.5.3 with previous version 0.5.2 dated 2018-10-09

Title: Blind Source Separation and Supervised Dimension Reduction for Time Series
Description: Different estimators are provided to solve the blind source separation problem for multivariate time series with stochastic volatility (Matilainen, Nordhausen and Oja (2015) <doi:10.1016/j.spl.2015.04.033>; Matilainen, Miettinen, Nordhausen, Oja and Taskinen (2017) <doi:10.17713/ajs.v46i3-4.671>) and supervised dimension reduction problem for multivariate time series (Matilainen, Croux, Nordhausen and Oja (2017) <doi:10.1016/j.ecosta.2017.04.002>). Different functions based on AMUSE and SOBI are also provided for estimating the dimension of the white noise subspace.
Author: Markus Matilainen, Christophe Croux, Jari Miettinen, Klaus Nordhausen, Hannu Oja, Sara Taskinen, Joni Virta
Maintainer: Markus Matilainen <markus.matilainen@outlook.com>

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Package multiApply updated to version 2.1.1 with previous version 2.0.1 dated 2018-11-23

Title: Apply Functions to Multiple Multidimensional Arrays or Vectors
Description: The base apply function and its variants, as well as the related functions in the 'plyr' package, typically apply user-defined functions to a single argument (or a list of vectorized arguments in the case of mapply). The 'multiApply' package extends this paradigm with its only function, Apply, which efficiently applies functions taking one or a list of multiple unidimensional or multidimensional arrays (or combinations thereof) as input. The input arrays can have different numbers of dimensions as well as different dimension lengths, and the applied function can return one or a list of unidimensional or multidimensional arrays as output. This saves development time by preventing the R user from writing often error-prone and memory-inefficient loops dealing with multiple complex arrays. Also, a remarkable feature of Apply is the transparent use of multi-core through its parameter 'ncores'. In contrast to the base apply function, this package suggests the use of 'target dimensions' as opposite to the 'margins' for specifying the dimensions relevant to the function to be applied.
Author: BSC-CNS [aut, cph], Nicolau Manubens [aut], Alasdair Hunter [aut], Nuria Perez [cre]
Maintainer: Nuria Perez <nuria.perez@bsc.es>

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Package MSG updated to version 0.4 with previous version 0.3 dated 2016-02-12

Title: Data and Functions for the Book Modern Statistical Graphics
Description: A companion to the Chinese book ``Modern Statistical Graphics''.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Lijia Yu [ctb], Xiangyun Huang [ctb], Peng Zhao [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package bimets updated to version 1.4.1 with previous version 1.4.0 dated 2019-06-06

Title: Time Series and Econometric Modeling
Description: Time series analysis, (dis)aggregation and manipulation, e.g. time series extension, merge, projection, lag, lead, delta, moving and cumulative average and product, selection by index, date and year-period, conversion to daily, monthly, quarterly, (semi)annually. Simultaneous equation models definition, estimation, simulation and forecasting with coefficient restrictions, error autocorrelation, exogenization, add-factors, impact and interim multipliers analysis, conditional equation evaluation, endogenous targeting and model renormalization.
Author: Andrea Luciani [aut, cre], Roberto Stok [aut], Bank of Italy [cph]
Maintainer: Andrea Luciani <andrea.luciani@bancaditalia.it>

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Permanent link

New package liquidSVM with initial version 1.2.3
Package: liquidSVM
Type: Package
Title: A Fast and Versatile SVM Package
Version: 1.2.3
Date: 2019-09-02
Author: Ingo Steinwart, Philipp Thomann
Copyright: Ingo Steinwart, Philipp Thomann, Mohammad Farooq
Maintainer: Philipp Thomann <philipp.thomann@mathematik.uni-stuttgart.de>
Description: Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
URL: https://github.com/liquidSVM/liquidSVM
License: AGPL-3
Depends: R (>= 2.12.0), methods
Suggests: knitr, rmarkdown, deldir, testthat
Enhances: mlr, ParamHelpers
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-09-03 12:11:38 UTC; philippthomann
Repository: CRAN
Date/Publication: 2019-09-03 14:00:02 UTC

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Package ggquickeda updated to version 0.1.4 with previous version 0.1.3 dated 2019-04-10

Title: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables
Description: Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and 'table1' tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface.
Author: Samer Mouksassi [aut, cre] (<https://orcid.org/0000-0002-7152-6654>), Dean Attali [aut], Benjamin Rich [aut] (provided summary stats tables tab code), Michael Sachs [aut] (provided ggkm code)
Maintainer: Samer Mouksassi <samermouksassi@gmail.com>

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Package ggeffects updated to version 0.12.0 with previous version 0.11.0 dated 2019-07-01

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel LĂ¼decke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Maintainer: Daniel LĂ¼decke <d.luedecke@uke.de>

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Package getTBinR updated to version 0.7.0 with previous version 0.6.1 dated 2019-06-05

Title: Access and Summarise World Health Organisation Tuberculosis data
Description: Quickly and easily import analysis ready Tuberculosis (TB) burden data, from the World Health Organisation (WHO), into R. The aim of getTBinR is to allow researchers, and other interested individuals, to quickly and easily gain access to a detailed TB data set and to start using it to derive key insights. It provides a consistent set of tools that can be used to rapidly evaluate hypotheses on a widely used data set before they are explored further using more complex methods or more detailed data. These tools include: generic plotting and mapping functions; a data dictionary search tool; an interactive shiny dashboard; and an automated, country level, TB report. For newer R users, this package reduces the barrier to entry by handling data import, munging, and visualisation. All plotting and mapping functions are built with ggplot2 so can be readily extended.
Author: Sam Abbott [aut, cre] (<https://orcid.org/0000-0001-8057-8037>)
Maintainer: Sam Abbott <contact@samabbott.co.uk>

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Package geometry updated to version 0.4.4 with previous version 0.4.3 dated 2019-08-21

Title: Mesh Generation and Surface Tessellation
Description: Makes the 'Qhull' library <http://www.qhull.org> available in R, in a similar manner as in Octave and MATLAB. Qhull computes convex hulls, Delaunay triangulations, halfspace intersections about a point, Voronoi diagrams, furthest-site Delaunay triangulations, and furthest-site Voronoi diagrams. It runs in 2D, 3D, 4D, and higher dimensions. It implements the Quickhull algorithm for computing the convex hull. Qhull does not support constrained Delaunay triangulations, or mesh generation of non-convex objects, but the package does include some R functions that allow for this.
Author: Jean-Romain Roussel [cph, ctb] (wrote tsearch function with QuadTrees), C. B. Barber [cph], Kai Habel [cph, aut], Raoul Grasman [cph, aut], Robert B. Gramacy [cph, aut], Pavlo Mozharovskyi [cph, aut], David C. Sterratt [cph, aut, cre] (<https://orcid.org/0000-0001-9092-9099>)
Maintainer: David C. Sterratt <david.c.sterratt@ed.ac.uk>

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Package evmix updated to version 2.12 with previous version 2.11 dated 2018-06-06

Title: Extreme Value Mixture Modelling, Threshold Estimation and Boundary Corrected Kernel Density Estimation
Description: The usual distribution functions, maximum likelihood inference and model diagnostics for univariate stationary extreme value mixture models are provided. Kernel density estimation including various boundary corrected kernel density estimation methods and a wide choice of kernels, with cross-validation likelihood based bandwidth estimator. Reasonable consistency with the base functions in the 'evd' package is provided, so that users can safely interchange most code.
Author: Carl Scarrott, Yang Hu and Alfadino Akbar, University of Canterbury
Maintainer: Carl Scarrott <carl.scarrott@canterbury.ac.nz>

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Package buildmer updated to version 1.2.1 with previous version 1.2 dated 2019-08-27

Title: Stepwise Elimination and Term Reordering for Mixed-Effects Regression
Description: Finds the largest possible regression model that will still converge for various types of regression analyses (including mixed models and generalized additive models) and then optionally performs stepwise elimination similar to the forward and backward effect selection methods in SAS, based on the change in log-likelihood or its significance, Akaike's Information Criterion, or the Bayesian Information Criterion.
Author: Cesko C. Voeten [aut, cre]
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>

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Package predict3d updated to version 0.1.3.3 with previous version 0.1.0 dated 2019-03-06

Title: Draw Three Dimensional Predict Plot Using Package 'rgl'
Description: Draw 2 dimensional and three dimensional plot for multiple regression models using package 'ggplot2' and 'rgl'. Supports linear models (lm), generalized linear models (glm) and local polynomial regression fittings (loess).
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package lg updated to version 0.4.0 with previous version 0.3.0 dated 2018-11-30

Title: Locally Gaussian Distributions: Estimation and Methods
Description: An implementation of locally Gaussian distributions. It provides methods for implementing locally Gaussian multivariate density estimation, conditional density estimation, various independence tests for iid and time series data, a test for conditional independence and a test for financial contagion.
Author: HĂ¥kon Otneim [aut, cre]
Maintainer: HĂ¥kon Otneim <hakon.otneim@nhh.no>

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Package grf updated to version 0.10.4 with previous version 0.10.3 dated 2019-05-27

Title: Generalized Random Forests
Description: A pluggable package for forest-based statistical estimation and inference. GRF currently provides methods for non-parametric least-squares regression, quantile regression, and treatment effect estimation (optionally using instrumental variables).
Author: Julie Tibshirani [aut, cre], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [ctb], Stefan Wager [aut], Marvin Wright [ctb]
Maintainer: Julie Tibshirani <jtibs@cs.stanford.edu>

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 src/src/sampling/RandomSampler.cpp                             |   41 
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 src/src/tree/Tree.cpp                                          |   49 
 src/src/tree/Tree.h                                            |   41 
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 tests/testthat.R                                               |    2 
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More information about grf at CRAN
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Package ClinReport updated to version 0.9.1.14 with previous version 0.9.1.13.1 dated 2019-08-07

Title: Statistical Reporting for Scientific Publications, Epidemiological Studies and Clinical Trials
Description: Export to 'Microsoft Word' or R markdown documents nicely formatted tables of descriptive or inferential statistics. Can be used within the scope of clinical trials, or for any scientific publications. Descriptive tables for quantitative statistics (mean, median, max etc..) and/or qualitative statistics (frequencies and percentages) are available along with formatted tables of Least Square Means of Linear Models, Linear Mixed Models, Cox Models and Generalized Linear Mixed Models. It works mainly with 'emmeans' 'officer' and 'flextable' packages.
Author: Jean-Francois Collin
Maintainer: Jean-Francois Collin <jfcollin@live.fr>

Diff between ClinReport versions 0.9.1.13.1 dated 2019-08-07 and 0.9.1.14 dated 2019-09-03

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 50 files changed, 852 insertions(+), 203 deletions(-)

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Package spNNGP updated to version 0.1.2 with previous version 0.1.1 dated 2017-07-21

Title: Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes
Description: Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Cook, Morton, Andersen, and Banerjee (2019) <doi:10.1080/10618600.2018.1537924> and Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091>.
Author: Andrew Finley [aut, cre], Abhirup Datta [aut], Sudipto Banerjee [aut]
Maintainer: Andrew Finley <finleya@msu.edu>

Diff between spNNGP versions 0.1.1 dated 2017-07-21 and 0.1.2 dated 2019-09-03

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 42 files changed, 1563 insertions(+), 922 deletions(-)

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Package snahelper updated to version 1.0.0 with previous version 0.3.0 dated 2019-07-03

Title: 'RStudio' Addin for Network Analysis and Visualization
Description: 'RStudio' addin which provides a GUI to visualize and analyse networks. After finishing a session, the code to produce the plot is inserted in the current script. Alternatively, the function SNAhelperGadget() can be used directly from the console. Additional addins include the Netreader() for reading network files and Netbuilder() to create small networks via point and click.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david.schoch@manchester.ac.uk>

Diff between snahelper versions 0.3.0 dated 2019-07-03 and 1.0.0 dated 2019-09-03

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More information about snahelper at CRAN
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New package queryparser with initial version 0.1.0
Package: queryparser
Type: Package
Title: Translate 'SQL' Queries into 'R' Expressions
Version: 0.1.0
Authors@R: c( person("Ian", "Cook", email = "ian@cloudera.com", role = c("aut", "cre")), person(family = "Cloudera", role = c("cph")) )
Maintainer: Ian Cook <ian@cloudera.com>
Description: Translate 'SQL' 'SELECT' statements into lists of 'R' expressions.
URL: https://github.com/ianmcook/queryparser
BugReports: https://github.com/ianmcook/queryparser/issues
NeedsCompilation: no
License: Apache License 2.0
Encoding: UTF-8
RoxygenNote: 6.1.1
Collate: 'compat.R' 'agg_scalar.R' 'check_expressions.R' 'common.R' 'extract_alias.R' 'parse_clauses.R' 'parse_expression.R' 'translations.R' 'process_translations.R' 'parse_query.R' 'replace.R' 'secure.R' 'split_query.R' 'squish_sql.R' 'translate.R' 'unpipe.R' 'wrap_bangs.R'
Suggests: testthat (>= 2.1.0)
Packaged: 2019-09-01 17:57:16 UTC; icook
Author: Ian Cook [aut, cre], Cloudera [cph]
Repository: CRAN
Date/Publication: 2019-09-03 08:50:05 UTC

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New package modelStudio with initial version 0.1.6
Package: modelStudio
Title: Interactive Studio with Explanations for ML Predictive Models
Version: 0.1.6
Authors@R: c(person("Hubert", "Baniecki", role = c("aut", "cre"), email = "hbaniecki@gmail.com"), person("Przemyslaw", "Biecek", role = c("aut"), comment = c(ORCID = "0000-0001-8423-1823")))
Description: Automate explanation of machine learning predictive models. This package generates advanced interactive and animated model explanations in the form of serverless HTML site. It combines 'R' with 'D3.js' to produce plots and descriptions for local and global explanations. The whole is greater than the sum of its parts, so it also supports EDA (Exploratory Data Analysis) on top of that. 'modelStudio' is a fast and condensed way to get all the answers without much effort. Break down your model and look into its ingredients with only a few lines of code.
Depends: R (>= 3.5.0)
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: iBreakDown (>= 0.9.9), ingredients (>= 0.3.9), r2d3, jsonlite
Suggests: DALEX, parallelMap, randomForest, knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://ModelOriented.github.io/modelStudio/, https://github.com/ModelOriented/modelStudio
BugReports: https://github.com/ModelOriented/modelStudio/issues
NeedsCompilation: no
Packaged: 2019-09-01 10:21:31 UTC; Hubert
Author: Hubert Baniecki [aut, cre], Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>)
Maintainer: Hubert Baniecki <hbaniecki@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-03 08:10:02 UTC

More information about modelStudio at CRAN
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Package GREP2 updated to version 1.0.2 with previous version 1.0.1 dated 2018-07-25

Title: GEO RNA-Seq Experiments Processing Pipeline
Description: An R based pipeline to download and process Gene Expression Omnibus (GEO) RNA-seq data. For a given GEO series accession ID, this pipeline generates metadata, both gene and transcript level counts, and quality control (QC) report. This package is mainly developed to process the GEO RNA-seq datasets for the web platform GREIN. More details about GREP2 and GREIN can be found here <doi:10.1101/326223>.
Author: Naim Al Mahi [cre, aut], Mario Medvedovic [aut, ctb]
Maintainer: Naim Al Mahi <mahina@mail.uc.edu>

Diff between GREP2 versions 1.0.1 dated 2018-07-25 and 1.0.2 dated 2019-09-03

 DESCRIPTION               |    9 ++--
 MD5                       |   12 ++---
 R/get_metadata.R          |   12 ++++-
 R/process_geo_rnaseq.R    |    5 +-
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 man/process_geo_rnaseq.Rd |    6 +-
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 7 files changed, 118 insertions(+), 24 deletions(-)

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Package RAMClustR (with last version 1.0.8) was removed from CRAN

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

2019-08-29 1.0.8

Permanent link
Package wtest updated to version 3.2 with previous version 3.1 dated 2018-07-04

Title: The W-Test for Genetic Interactions Testing
Description: Perform the calculation of W-test, diagnostic checking, calculate minor allele frequency (MAF) and odds ratio.
Author: Rui Sun, Maggie Haitian Wang
Maintainer: Rui Sun <rsunzju@gmail.com>

Diff between wtest versions 3.1 dated 2018-07-04 and 3.2 dated 2019-09-03

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 wtest-3.2/wtest/R/odds.ratio.R            |    4 +++
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 24 files changed, 86 insertions(+), 49 deletions(-)

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New package tvthemes with initial version 1.0.0
Type: Package
Package: tvthemes
Title: TV Show Themes and Color Palettes for 'ggplot2' Graphics
Version: 1.0.0
Authors@R: person(given = "Ryo", family = "Nakagawara", role = c("aut", "cre"), email = "ryonakagawara@gmail.com")
Maintainer: Ryo Nakagawara <ryonakagawara@gmail.com>
Description: Contains various 'ggplot2' themes and color palettes based on TV shows such as 'Game of Thrones', 'Brooklyn Nine-Nine', 'Avatar: The Last Airbender', 'Spongebob Squarepants', and more.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: ggplot2 (>= 3.1.0), extrafont (>= 0.17), scales (>= 1.0.0), magick (>= 2.0), glue (>= 1.3.1), grDevices (>= 3.5.3)
Suggests: testthat (>= 2.1.1), gapminder (>= 0.3.0), dplyr (>= 0.8.0.1), spelling (>= 2.0), cowplot (>= 0.9.4), png (>= 0.1-7)
URL: https://github.com/Ryo-N7/tvthemes
BugReports: https://github.com/Ryo-N7/tvthemes/issues
Language: en-US
NeedsCompilation: no
Packaged: 2019-08-31 07:29:32 UTC; Ryo Nakagawara
Author: Ryo Nakagawara [aut, cre]
Repository: CRAN
Date/Publication: 2019-09-03 07:30:02 UTC

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New package metamicrobiomeR with initial version 1.1
Package: metamicrobiomeR
Title: Analysis of Microbiome Relative Abundance Data using Zero Inflated Beta GAMLSS and Meta-Analysis Across Studies using Random Effects Model
Version: 1.1
Authors@R: person("Nhan", "Ho", email = "nhanhocumc@gmail.com", role = c("aut", "cre"))
Description: Generalized Additive Model for Location, Scale and Shape (GAMLSS) with zero inflated beta (BEZI) family for analysis of microbiome relative abundance data (with various options for data transformation/normalization to address compositional effects) and random effects meta-analysis models for meta-analysis pooling estimates across microbiome studies are implemented. Random Forest model to predict microbiome age based on relative abundances of shared bacterial genera with the Bangladesh data (Subramanian et al 2014), comparison of multiple diversity indexes using linear/linear mixed effect models and some data display/visualization are also implemented. The reference paper is published by Ho NT, Li F, Wang S, Kuhn L (2019) <doi:10.1186/s12859-019-2744-2> .
Depends: R (>= 3.6.0), gamlss
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1.9000
Imports: meta, lme4, gdata, matrixStats, plyr, dplyr, tidyr, ggplot2, gridExtra, RColorBrewer, lmerTest, mgcv, reshape2, caret, randomForest, grDevices, gplots, magrittr, tools, foreign, knitr, rmarkdown, zCompositions, compositions, RCurl, httr, repmis, jsonlite
Suggests: testthat
VignetteBuilder: knitr
URL: https://github.com/nhanhocu/metamicrobiomeR
BugReports: https://github.com/nhanhocu/metamicrobiomeR/issues
NeedsCompilation: no
Packaged: 2019-08-30 09:55:51 UTC; nhanht6
Author: Nhan Ho [aut, cre]
Maintainer: Nhan Ho <nhanhocumc@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-03 07:20:02 UTC

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New package HSPOR with initial version 1.1.9
Package: HSPOR
Title: Hidden Smooth Polynomial Regression for Rupture Detection
Version: 1.1.9
Authors@R: c(person("Florine", "Greciet", email = "florine.greciet@gmail.com", role = c("aut", "cre")), person("Romain", "Azais", email = "romain.azais@inria.fr", role = c("aut")))
Description: Several functions that allow by different methods to infer a piecewise polynomial regression model under regularity constraints, namely continuity or differentiability of the link function. The implemented functions are either specific to data with two regimes, or generic for any number of regimes, which can be given by the user or learned by the algorithm. A paper describing all these methods will be submitted soon. The reference will be added to this file as soon as available.
License: LGPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: stats, corpcor, npregfast, graphics
NeedsCompilation: no
Packaged: 2019-08-30 14:58:44 UTC; florine
Author: Florine Greciet [aut, cre], Romain Azais [aut]
Maintainer: Florine Greciet <florine.greciet@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-03 07:30:11 UTC

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New package geosed with initial version 0.1.1
Package: geosed
Type: Package
Title: Smallest Enclosing Disc for Latitude and Longitude Points
Version: 0.1.1
Date: 2019-08-17
Author: Shant Sukljian <asshtnt@gmail.com>
Maintainer: Shant Sukljian <asshtnt@gmail.com>
Description: Find the smallest circle that contains all longitude and latitude input points. From the generated center and radius, variable side polygons can be created, navigation based on bearing and distance can be applied, and more. Based on a modified version of Welzl's algorithm for smallest circle. Distance calculations are based on the haversine formula. Calculations for distance, midpoint, bearing and more are derived from <https://www.movable-type.co.uk>.
Imports: grDevices
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: sp, mapview
NeedsCompilation: no
Packaged: 2019-09-01 02:13:40 UTC; ssukljian
Repository: CRAN
Date/Publication: 2019-09-03 07:50:02 UTC

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New package fixest with initial version 0.1.0
Package: fixest
Type: Package
Title: Fast Fixed-Effects Estimations
Version: 0.1.0
Authors@R: person("Laurent", "Berge", email = "laurent.berge@uni.lu", role = c("aut", "cre"))
Imports: stats, graphics, utils, Formula, MASS, numDeriv, nlme, Rcpp
Suggests: knitr, data.table
LinkingTo: Rcpp
Depends: R(>= 3.1.0)
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://wwwen.uni.lu/content/download/110162/1299525/file/2018_13>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
License: GPL-3
BugReports: https://github.com/lrberge/fixest/issues
SystemRequirements: C++11
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-08-31 12:28:47 UTC; Laurent
Author: Laurent Berge [aut, cre]
Maintainer: Laurent Berge <laurent.berge@uni.lu>
Repository: CRAN
Date/Publication: 2019-09-03 07:30:07 UTC

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New package eph with initial version 0.1.0
Package: eph
Title: Argentina's Permanent Household Survey Data and Manipulation Utilities
Version: 0.1.0
Authors@R: c( person("Diego", "Kozlowski", email = "diegokoz92@gmail.com", role = c("aut", "cre")), person("Pablo", "Tiscornia", email = "pablotisco@gmail.com", role = "aut"), person("Guido", "Weksler", email = "guidowe45@gmail.com", role = "aut"), person("Natsumi", "Shokida", email = "natsumi.shokida@gmail.com", role = "aut"), person("German", "Rosati", email = "german.rosati@gmail.com", role = "aut"))
Description: Tools to download and manipulate the Permanent Household Survey from Argentina (EPH is the Spanish acronym for Permanent Household Survey). e.g: get_microdata() for downloading the datasets, get_poverty_lines() for downloading the official poverty baskets, calculate_poverty() for the calculation of stating if a household is in poverty or not, following the official methodology. organize_panels() is used to concatenate observations from different periods, and organize_labels() adds the official labels to the data. The implemented methods are based on INDEC (2016) <http://www.estadistica.ec.gba.gov.ar/dpe/images/SOCIEDAD/EPH_metodologia_22_pobreza.pdf>. As this package works with the argentinian Permanent Household Survey and its main audience is from this country, the documentation was written in Spanish.
Imports: dplyr, expss, assertthat, purrr, stringr, magrittr, glue, readxl, janitor, questionr, tidyr, readr, utils
Depends: R (>= 2.10)
License: MIT + file LICENSE
Encoding: UTF-8
Language: es
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2019-08-28 11:58:39 UTC; diego
Author: Diego Kozlowski [aut, cre], Pablo Tiscornia [aut], Guido Weksler [aut], Natsumi Shokida [aut], German Rosati [aut]
Maintainer: Diego Kozlowski <diegokoz92@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-03 07:50:05 UTC

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New package do with initial version 1.0.0.0
Package: do
Type: Package
Title: Data Operator
Version: 1.0.0.0
Description: Flexibly convert data between long and wide format using just two functions: reshape_toLong() and reshape_toWide().
Author: Jing Zhang, Zhi Jin
Maintainer: Jing Zhang<zj391120@163.com>
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: reshape2, plyr
RoxygenNote: 6.1.1
URL: https://github.com/yikeshu0611/do
BugReports: https://github.com/yikeshu0611/do/issues
NeedsCompilation: no
Packaged: 2019-09-01 06:07:04 UTC; asus
Repository: CRAN
Date/Publication: 2019-09-03 08:00:02 UTC

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New package BMRSr with initial version 1.0.0
Package: BMRSr
Type: Package
Title: Wrapper Functions to the 'BMRS API'
Version: 1.0.0
Authors@R: person("Adam", "Rawles", email = "adamrawles@hotmail.co.uk", role = c("aut", "cre"))
Description: A set of wrapper functions to better interact with the 'Balancing Mechanism Reporting System API'.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: httr, xml2, stringr, tibble, readr, methods
RoxygenNote: 6.1.1
URL: https://github.com/ARawles/BMRSr
Suggests: covr, knitr, rmarkdown, ggplot2, dplyr, tidyr, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-08-30 11:52:46 UTC; Adam.Rawles
Author: Adam Rawles [aut, cre]
Maintainer: Adam Rawles <adamrawles@hotmail.co.uk>
Repository: CRAN
Date/Publication: 2019-09-03 07:30:13 UTC

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Package spate (with last version 1.5) was removed from CRAN

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

2016-08-29 1.5
2015-01-25 1.4
2013-12-29 1.3
2013-05-09 1.2
2013-01-11 1.1
2012-11-29 1.0

Permanent link
Package libamtrack (with last version 0.6.3) was removed from CRAN

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

2015-12-12 0.6.3
2015-06-26 0.6.2
2015-05-22 0.6.1
2015-05-21 0.6.0
2014-07-08 0.5.5
2013-01-23 0.5.4
2012-04-27 0.5.3
2011-12-22 0.5.2
2011-08-05 0.5.1

Permanent link
Package distreg.vis updated to version 1.7.0 with previous version 1.5.0 dated 2019-06-20

Title: Framework for the Visualization of Distributional Regression Models
Description: Functions for visualizing distributional regression models fitted using the 'gamlss', 'bamlss' or 'betareg' R package. The core of the package consists of a 'shiny' application, where the model results can be interactively explored and visualized.
Author: Stanislaus Stadlmann [cre, aut] (<https://orcid.org/0000-0001-6542-6342>)
Maintainer: Stanislaus Stadlmann <stadlmann@uni-goettingen.de>

Diff between distreg.vis versions 1.5.0 dated 2019-06-20 and 1.7.0 dated 2019-09-03

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 distreg.vis-1.7.0/distreg.vis/man/preds.Rd                       |   37 +-
 distreg.vis-1.7.0/distreg.vis/man/set_mean.Rd                    |only
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 36 files changed, 953 insertions(+), 289 deletions(-)

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Package RODBC updated to version 1.3-16 with previous version 1.3-15 dated 2017-04-13

Title: ODBC Database Access
Description: An ODBC database interface.
Author: Brian Ripley [aut, cre], Michael Lapsley [aut] (1999 to Oct 2002)
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

Diff between RODBC versions 1.3-15 dated 2017-04-13 and 1.3-16 dated 2019-09-03

 ChangeLog                              |   22 ++++++++++++++
 DESCRIPTION                            |   10 +++---
 MD5                                    |   42 +++++++++++++--------------
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 po/da.po                               |   46 +++++++++++++++---------------
 po/de.po                               |   46 +++++++++++++++---------------
 po/pl.po                               |   46 +++++++++++++++---------------
 src/config.h.in                        |    5 ++-
 vignettes/RODBC.Rnw                    |    8 ++---
 22 files changed, 167 insertions(+), 144 deletions(-)

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Package ledger updated to version 2.0.2 with previous version 2.0.1 dated 2019-03-22

Title: Utilities for Importing Data from Plain Text Accounting Files
Description: Utilities for querying plain text accounting files from 'Ledger', 'HLedger', and 'Beancount'.
Author: Trevor L Davis [aut, cre], Jenya Sovetkin [ctb]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between ledger versions 2.0.1 dated 2019-03-22 and 2.0.2 dated 2019-09-03

 DESCRIPTION |    6 
 MD5         |    6 
 README.md   |  632 ++++++++++++++++++++++++++++--------------------------------
 man/figures |only
 4 files changed, 312 insertions(+), 332 deletions(-)

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Package WaterML (with last version 1.7.1) was removed from CRAN

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

2016-03-17 1.7.1
2016-02-17 1.7.0
2016-01-26 1.6.0
2015-09-21 1.5.0
2015-09-03 1.4.0
2015-07-12 1.3.2
2015-06-29 1.2.3
2015-05-05 1.0.0
2015-05-01 0.9.6

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Package crch updated to version 1.0-4 with previous version 1.0-3 dated 2019-05-08

Title: Censored Regression with Conditional Heteroscedasticity
Description: Different approaches to censored or truncated regression with conditional heteroscedasticity are provided. First, continuous distributions can be used for the (right and/or left censored or truncated) response with separate linear predictors for the mean and variance. Second, cumulative link models for ordinal data (obtained by interval-censoring continuous data) can be employed for heteroscedastic extended logistic regression (HXLR). In the latter type of models, the intercepts depend on the thresholds that define the intervals.
Author: Jakob Messner [aut, cre] (<https://orcid.org/0000-0002-1027-3673>), Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Reto Stauffer [aut] (<https://orcid.org/0000-0002-3798-5507>)
Maintainer: Jakob Messner <jakob.messner@posteo.net>

Diff between crch versions 1.0-3 dated 2019-05-08 and 1.0-4 dated 2019-09-03

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 MD5                              |   24 ++++++++++++------------
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 build/partial.rdb                |binary
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 13 files changed, 64 insertions(+), 54 deletions(-)

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Package bracer updated to version 1.1.1 with previous version 1.0.1 dated 2019-08-08

Title: Brace Expansions
Description: Performs brace expansions on strings. Made popular by Unix shells, brace expansion allows users to concisely generate certain character vectors by taking a single string and (recursively) expanding the comma-separated lists and double-period-separated integer and character sequences enclosed within braces in that string. The double-period-separated numeric integer expansion also supports padding the resulting numbers with zeros.
Author: Trevor Davis [aut, cre]
Maintainer: Trevor Davis <trevor.l.davis@gmail.com>

Diff between bracer versions 1.0.1 dated 2019-08-08 and 1.1.1 dated 2019-09-03

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