Sun, 21 Apr 2019

Package gravity updated to version 0.9.7 with previous version 0.9.0 dated 2018-11-22

Title: Estimation Methods for Gravity Models
Description: A wrapper of different standard estimation methods for gravity models. This package provides estimation methods for log-log models and multiplicative models.
Author: Anna-Lena Woelwer [aut, cph], Jan Pablo Burgard [aut, cph], Joshua Kunst [aut, cph], Mauricio Vargas [aut, cre, cph] (<https://orcid.org/0000-0003-1017-7574>), Romain Francois [ctb] (adapted parts of the code to use dplyr 0.8.0), Lionel Henry [ctb] (simplified parts of the code)
Maintainer: Mauricio Vargas <mvargas@dcc.uchile.cl>

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Package tradestatistics updated to version 0.2 with previous version 0.1 dated 2019-04-06

Title: Open Trade Statistics API Wrapper and Utility Program
Description: Access 'Open Trade Statistics' API from R to download international trade data.
Author: Mauricio Vargas [aut, cre, cph] (<https://orcid.org/0000-0003-1017-7574>), Joshua Kunst [ctb] (contributed to different parts of the pre-release code), Emily Riederer [rev] (reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/274), Mark Padgham [rev] (reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/274), Amanda Dobbyn [rev] (reviewed an archived package that evolved into the current package for rOpenSci, see https://github.com/ropensci/onboarding/issues/217), Jorge Cimentada [rev] (reviewed an archived package that evolved into the current package for rOpenSci, see https://github.com/ropensci/onboarding/issues/217), UN Comtrade [dtc], Center for International Development at Harvard University [dtc], The Observatory of Economic Complexity [dtc]
Maintainer: Mauricio Vargas <mvargas@dcc.uchile.cl>

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Package proxyC updated to version 0.1.3 with previous version 0.1.2 dated 2019-04-19

Title: Computes Proximity in Large Sparse Matrices
Description: Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among several built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast.
Author: Kohei Watanabe [cre, aut, cph] (<https://orcid.org/0000-0001-6519-5265>), Robrecht Cannoodt [aut] (<https://orcid.org/0000-0003-3641-729X>)
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package ioanalysis updated to version 0.1.3 with previous version 0.1.1 dated 2019-03-10

Title: Input Output Analysis
Description: Calculates fundamental IO matrices (Leontief, Wassily W. (1951) <doi:10.1038/scientificamerican1051-15>, Ghosh, A. (1958) <doi:10.2307/2550694>); within period analysis via various rankings and coefficients (Sonis and Hewings (2006) <doi:10.1080/09535319200000013>, Blair and Miller (2009) <ISBN:978-0-521-73902-3>, Antras et al (2012) <doi:10.3386/w17819>, Hummels, Ishii, and Yi (2001) <doi:10.1016/S0022-1996(00)00093-3>); across period analysis with impact analysis (Dietzenbacher, van der Linden, and Steenge (2006) <doi:10.1080/09535319300000017>, Sonis, Hewings, and Guo (2006) <doi:10.1080/09535319600000002>); and a variety of table operators.
Author: John Wade [aut, cre], Ignacio Sarmiento-Barbieri [aut]
Maintainer: John Wade <jjpwade2@illinois.edu>

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Package dendroTools updated to version 1.0.4 with previous version 1.0.3 dated 2019-03-28

Title: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data
Description: Provides novel dendroclimatological methods, primarily used by the Tree-ring research community. There are four core functions. The first one is daily_response(), which finds the optimal sequence of days that are related to one or more tree-ring proxy records. Similar function is daily_response_seasorr(), which implements partial correlations in the analysis of daily response functions. For the enthusiast of monthly data, there is monthly_response() function. The last core function is compare_methods(), which effectively compares several linear and nonlinear regression algorithms on the task of climate reconstruction.
Author: Jernej Jevsenak [aut, cre]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>

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Package trialr updated to version 0.1.0 with previous version 0.0.7 dated 2019-03-03

Title: Clinical Trial Designs in 'RStan'
Description: A showcase of Bayesian clinical trial designs, implemented in 'RStan' and R. Some designs are implemented in R for the first time (e.g. 'EffTox' by Thall and Cook, 2004, <https://biostatistics.mdanderson.org/softwaredownload/SingleSoftware.aspx?Software_Id=2>). Given the emphasis on flexibility in Bayesian analysis, the implementations in a common language and style may serve as a cookbook to encourage the use of Bayesian methods in trials. Compiled 'RStan' models are provided in addition to helper classes and functions to perform simulations and inference on observed trial outcomes. There is a preponderance of early phase trial designs because this is where Bayesian methods are used most. If there is a published Bayesian design you want implemented in 'Stan', get in touch.
Author: Kristian Brock [aut, cre] (<https://orcid.org/0000-0002-3921-0166>), Trustees of Columbia University [cph]
Maintainer: Kristian Brock <kristian.brock@gmail.com>

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Package ReinforcementLearning updated to version 1.0.3 with previous version 1.0.2 dated 2018-04-08

Title: Model-Free Reinforcement Learning
Description: Performs model-free reinforcement learning in R. This implementation enables the learning of an optimal policy based on sample sequences consisting of states, actions and rewards. In addition, it supplies multiple predefined reinforcement learning algorithms, such as experience replay. Methodological details can be found in Sutton and Barto (1998) <ISBN:0262039249>.
Author: Nicolas Proellochs [aut, cre], Stefan Feuerriegel [aut]
Maintainer: Nicolas Proellochs <nicolas.proellochs@is.uni-freiburg.de>

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Package splitstackshape updated to version 1.4.8 with previous version 1.4.6 dated 2018-07-23

Title: Stack and Reshape Datasets After Splitting Concatenated Values
Description: Online data collection tools like Google Forms often export multiple-response questions with data concatenated in cells. The concat.split (cSplit) family of functions splits such data into separate cells. The package also includes functions to stack groups of columns and to reshape wide data, even when the data are "unbalanced"---something which reshape (from base R) does not handle, and which melt and dcast from reshape2 do not easily handle.
Author: Ananda Mahto
Maintainer: Ananda Mahto <mrdwab@gmail.com>

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Package emmeans updated to version 1.3.4 with previous version 1.3.3 dated 2019-03-02

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and compact letter displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell Lenth [aut, cre, cph], Henrik Singmann [ctb], Jonathon Love [ctb], Paul Buerkner [ctb], Maxime Herve [ctb]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>

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New package tcie with initial version 0.3
Package: tcie
Type: Package
Title: Topologically Correct Isosurface Extraction
Version: 0.3
Date: 2019-04-19
Author: Lis Custódio
Maintainer: Lis Custodio <liscustodio.uerj@gmail.com>
URL: http://liscustodio.github.io/
Description: Isosurfaces extraction algorithms are a powerful tool in the interpretation of volumetric data. The isosurfaces play an important role in several scientific fields, such as biology, medicine, chemistry and computational fluid dynamics. And, for the data to be correctly interpreted, it is crucial that the isosurface be correctly represented. The Marching Cubes algorithm, proposed by Lorensen and Cline <doi:10.1145/37401.37422> in 1987, is clearly one of the most popular isosurface extraction algorithms, and an important tool for many visualization specialists and researchers. The generalized adoption of the Marching Cubes has resulted in many improvements in its algorithm, including, the establishment of the topological correctness of the generated mesh. In 2013, Custodio et al. <doi:10.1016/j.cag.2013.04.004> noted and corrected algorithmic inaccuracies that compromised the topological correctness of the mesh generated by the last version of the Marching Cubes Algorithm: the Marching Cubes 33 proposed by Chernyaev in 1995, implemented in 2003 by Lewiner et al. <doi:10.1080/10867651.2003.10487582>. In 2019, Custodio et al. (in the work An Extended Triangulation to the Marching Cubes 33 Algorithm) proposed an extended triangulation to the Marching Cubes 33 algorithm, in the proposed algorithm the grid vertex are labeled with "+", "-" and "=", according to the relationship between its scalar field value and the isovalue.The inclusion of the "=" grid vertex label naturally avoids degenerate triangles, a well-known issue in meshes generated by the Marching Cubes. The Marching Cubes algorithm has been implemented using many software programs and compilers: C++, proposed by Lewiner et al. (2003); 'MATLAB', proposed by Hammer (2011); and R, proposed by Feng and Tierney (2008). Marching Cubes is also integrated into many visualization toolkits. The complexity of an algorithm increases considerably when it aims to reproduce the topology of the trilinear interpolant correctly. This complexity can sometimes result in errors in the algorithm or in its implementation. During our experiments we observe that all the implementations mentioned have critical issues that compromise the continuity and the topological correctness of the generated mesh. The 'tcie' package is a toolkit with a topologically correct implementation of the Marching Cubes algorithm, based on the Custodio et al. work, which implements the most recent improvements of the algorithm.
LazyData: TRUE
LinkingTo: Rcpp,RcppArmadillo
Imports: nat(>= 1.8.11), rgl(>= 0.99.9), Rvcg (>= 0.17), geomorph (>= 3.0.5)
Depends: R (>= 3.2.3)
RoxygenNote: 6.1.1
License: GPL
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-04-20 01:26:55 UTC; lis
X-CRAN-Archive: Archived on 2019-04-21 as update had exactly the same check problems as before.
Repository: CRAN
Date/Publication: 2019-04-21 15:10:03 UTC

More information about tcie at CRAN
Permanent link

Package randtoolbox updated to version 1.30.0 with previous version 1.17.1 dated 2018-02-14

Title: Toolbox for Pseudo and Quasi Random Number Generation and Random Generator Tests
Description: Provides (1) pseudo random generators - general linear congruential generators, multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister algorithm and WELL generators); (2) quasi random generators - the Torus algorithm, the Sobol sequence, the Halton sequence (including the Van der Corput sequence) and (3) some generator tests - the gap test, the serial test, the poker test. See e.g. Gentle (2003) <doi:10.1007/b97336>. The package can be provided without the rngWELL dependency on demand. Take a look at the Distribution task view of types and tests of random number generators. Version in Memoriam of Diethelm and Barbara Wuertz.
Author: R port by Yohan Chalabi, Christophe Dutang, Petr Savicky and Diethelm Wuertz with some underlying C codes of (i) the SFMT algorithm from M. Matsumoto and M. Saito, (ii) the Knuth-TAOCP RNG from D. Knuth.
Maintainer: Christophe Dutang <christophe.dutang@ensimag.fr>

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Package Luminescence updated to version 0.9.0.110 with previous version 0.8.6 dated 2018-10-05

Title: Comprehensive Luminescence Dating Data Analysis [upcoming]
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] (<https://orcid.org/0000-0002-0734-2199>), Christoph Burow [aut, trl, dtc] (<https://orcid.org/0000-0002-5023-4046>), Michael Dietze [aut] (<https://orcid.org/0000-0001-6063-1726>), Margret C. Fuchs [aut], Christoph Schmidt [aut] (<https://orcid.org/0000-0002-2309-3209>), Manfred Fischer [aut, trl], Johannes Friedrich [aut] (<https://orcid.org/0000-0002-0805-9547>), Norbert Mercier [ctb] (<https://orcid.org/0000-0002-6375-9108>), Rachel K. Smedley [ctb] (<https://orcid.org/0000-0001-7773-5193>), Claire Christophe [ctb], Antoine Zink [ctb] (<https://orcid.org/0000-0001-7146-1101>), Julie Durcan [ctb] (<https://orcid.org/0000-0001-8724-8022>), Georgina E. King [ctb, dtc] (<https://orcid.org/0000-0003-1059-8192>), Anne Philippe [ctb], Guillaume Guerin [ctb] (<https://orcid.org/0000-0001-6298-5579>), Svenja Riedesel [ctb] (<https://orcid.org/0000-0003-2936-8776>), Martin Autzen [ctb], Markus Fuchs [ths]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@u-bordeaux-montaigne.fr>

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Package greybox updated to version 0.5.0 with previous version 0.4.1 dated 2019-01-27

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package ftsa updated to version 5.5 with previous version 5.4 dated 2019-01-30

Title: Functional Time Series Analysis
Description: Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
Author: Rob Hyndman [aut] (<https://orcid.org/0000-0002-2140-5352>), Han Lin Shang [aut, cre, cph] (<https://orcid.org/0000-0003-1769-6430>)
Maintainer: Han Lin Shang <hanlin.shang@anu.edu.au>

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Package CrossVA updated to version 0.9.7 with previous version 0.9.6 dated 2019-04-18

Title: Verbal Autopsy Data Transformation for InSilicoVA and InterVA5 Algorithms
Description: Enables transformation of Verbal Autopsy data collected with the WHO 2016 questionnaire (versions 1.4.1 & 1.5.1) or the WHO 2014 questionnaire for automated coding of Cause of Death using the InSilicoVA (data.type = "WHO2016") and InterVA5 algorithms. Previous versions of this package supported user-supplied mappings (via the map_records function), but this functionality has been removed. This package is made available by WHO and the Bloomberg Data for Health Initiative.
Author: Eungang Choi [aut], Sam Clark [aut], Zehang Li [aut], Jason Thomas [aut, cre]
Maintainer: Jason Thomas <jarathomas@gmail.com>

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Package CHNOSZ updated to version 1.3.2 with previous version 1.3.1 dated 2019-03-03

Title: Thermodynamic Calculations and Diagrams for Geochemistry
Description: An integrated set of tools for thermodynamic calculations in aqueous geochemistry and geobiochemistry. Functions are provided for writing balanced reactions to form species from user-selected basis species and for calculating the standard molal properties of species and reactions, including the standard Gibbs energy and equilibrium constant. Calculations of the non-equilibrium chemical affinity and equilibrium chemical activity of species can be portrayed on diagrams as a function of temperature, pressure, or activity of basis species; in two dimensions, this gives a maximum affinity or predominance diagram. The diagrams have formatted chemical formulas and axis labels, and water stability limits can be added to Eh-pH, oxygen fugacity- temperature, and other diagrams with a redox variable. The package has been developed to handle common calculations in aqueous geochemistry, such as solubility due to complexation of metal ions, mineral buffers of redox or pH, and changing the basis species across a diagram ("mosaic diagrams"). CHNOSZ also has unique capabilities for comparing the compositional and thermodynamic properties of different proteins.
Author: Jeffrey Dick [aut, cre] (<https://orcid.org/0000-0002-0687-5890>), R Core Team [ctb] (code derived from R's pmax())
Maintainer: Jeffrey Dick <j3ffdick@gmail.com>

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Package ocp updated to version 0.1.1 with previous version 0.1.0 dated 2018-12-27

Title: Bayesian Online Changepoint Detection
Description: Implements the Bayesian online changepoint detection method by Adams and MacKay (2007) <arXiv:0710.3742> for univariate or multivariate data. Gaussian and Poisson probability models are implemented. Provides post-processing functions with alternative ways to extract changepoints.
Author: Andrea Pagotto
Maintainer: Andrea Pagotto <ajpagotto@gmail.com>

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Package munsellinterpol updated to version 2.3-1 with previous version 2.2-1 dated 2019-01-30

Title: Interpolate Munsell Renotation Data from Hue/Chroma to CIE/RGB
Description: Methods for interpolating data in the Munsell color system following the ASTM D-1535 standard. Hues and chromas with decimal values can be interpolated and converted to/from the Munsell color system and CIE xyY, CIE XYZ, CIE Lab, CIE Luv, or RGB. Includes ISCC-NBS color block lookup. Based on the work by Paul Centore, "The Munsell and Kubelka-Munk Toolbox".
Author: Jose Gama [aut, trl], Paul Centore [aut, cph], Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package g3viz updated to version 1.1.0 with previous version 1.0.4 dated 2019-04-06

Title: Interactively Visualize Genetic Mutation Data using a Lollipop-Diagram
Description: R interface for 'g3-lollipop' JavaScript library. Visualize genetic mutation data using an interactive lollipop diagram in RStudio or your browser.
Author: Xin Guo [aut, cre]
Maintainer: Xin Guo <g3viz.group@gmail.com>

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Package xtable updated to version 1.8-4 with previous version 1.8-3 dated 2018-08-29

Title: Export Tables to LaTeX or HTML
Description: Coerce data to LaTeX and HTML tables.
Author: David B. Dahl [aut], David Scott [aut, cre], Charles Roosen [aut], Arni Magnusson [aut], Jonathan Swinton [aut], Ajay Shah [ctb], Arne Henningsen [ctb], Benno Puetz [ctb], Bernhard Pfaff [ctb], Claudio Agostinelli [ctb], Claudius Loehnert [ctb], David Mitchell [ctb], David Whiting [ctb], Fernando da Rosa [ctb], Guido Gay [ctb], Guido Schulz [ctb], Ian Fellows [ctb], Jeff Laake [ctb], John Walker [ctb], Jun Yan [ctb], Liviu Andronic [ctb], Markus Loecher [ctb], Martin Gubri [ctb], Matthieu Stigler [ctb], Robert Castelo [ctb], Seth Falcon [ctb], Stefan Edwards [ctb], Sven Garbade [ctb], Uwe Ligges [ctb]
Maintainer: David Scott <d.scott@auckland.ac.nz>

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Package tcie (with last version 0.2) was removed from CRAN

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

2019-04-13 0.2

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Package mboxr updated to version 0.1.5 with previous version 0.1.4 dated 2019-02-24

Title: Reading, Extracting, and Converting an Mbox File into a Tibble
Description: Importing and converting an mbox file into a tibble object.
Author: JooYoung Seo [aut, cre] (<https://orcid.org/0000-0002-4064-6012>), Soyoung Choi [aut] (<https://orcid.org/0000-0002-0998-3352>)
Maintainer: JooYoung Seo <jooyoung@psu.edu>

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Package janitor updated to version 1.2.0 with previous version 1.1.1 dated 2018-07-31

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]
Maintainer: Sam Firke <samuel.firke@gmail.com>

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Package boxoffice updated to version 1.2.2 with previous version 1.2.1 dated 2019-01-16

Title: Downloads Box Office Information for Given Dates
Description: Download daily box office information (how much each movie earned in theaters) using data from either Box Office Mojo (<http://www.boxofficemojo.com/>) or The Numbers (<http://www.the-numbers.com/>).
Author: Jacob Kaplan [aut, cre]
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

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