Mon, 21 Jan 2019

Package tor updated to version 1.1.1 with previous version 1.0.1 dated 2019-01-11

Title: Import Multiple Files From a Single Directory at Once
Description: The goal of tor (to-R) is to help you to import multiple files from a single directory at once, and to do so as quickly, flexibly, and simply as possible.
Author: Mauro Lepore [aut, cre]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

Diff between tor versions 1.0.1 dated 2019-01-11 and 1.1.1 dated 2019-01-21

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New package RcppHNSW with initial version 0.1.0
Package: RcppHNSW
Title: 'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
Version: 0.1.0
Authors@R: c(person("James", "Melville", email = "jlmelville@gmail.com", role = c("aut", "cre")), person("Aaron", "Lun", role = "ctb"))
Description: 'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R interface by relying on the 'Rcpp' package. See <https://github.com/nmslib/hnswlib> for more on 'hnswlib'. 'hnswlib' is released under Version 2.0 of the Apache License.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: methods, Rcpp (>= 0.11.3)
LinkingTo: Rcpp
RoxygenNote: 6.1.1
Suggests: testthat, covr
NeedsCompilation: yes
Packaged: 2019-01-15 03:34:10 UTC; jlmel
Author: James Melville [aut, cre], Aaron Lun [ctb]
Maintainer: James Melville <jlmelville@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-21 23:30:06 UTC

More information about RcppHNSW at CRAN
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Package future updated to version 1.11.0 with previous version 1.10.0 dated 2018-10-17

Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multiprocess)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future versions 1.10.0 dated 2018-10-17 and 1.11.0 dated 2019-01-21

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New package ensr with initial version 0.1.0
Package: ensr
Title: Elastic Net SearcheR
Version: 0.1.0
Authors@R: c( person("Peter", "DeWitt", , "peter.dewitt@ucdenver.edu", role = c("aut", "cre")), person("Tell", "Bennett", , "tell.bennett@ucdenver.edu", role = c("ctb")) )
Description: Elastic net regression models are controlled by two parameters, lambda, a measure of shrinkage, and alpha, a metric defining the model's location on the spectrum between ridge and lasso regression. glmnet provides tools for selecting lambda via cross validation but no automated methods for selection of alpha. Elastic Net SearcheR automates the simultaneous selection of both lambda and alpha. Developed, in part, with support by NICHD R03 HD094912.
License: GPL-2
Encoding: UTF-8
URL: https://github.com/dewittpe/ensr
LazyData: true
Depends: R (>= 3.5.0), glmnet
Imports: data.table, ggplot2
Suggests: digest, ggforce, gridExtra, knitr, magrittr, microbenchmark, qwraps2 (>= 0.4.0), R.rsp, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2019-01-14 22:51:48 UTC; dewittp
Author: Peter DeWitt [aut, cre], Tell Bennett [ctb]
Maintainer: Peter DeWitt <peter.dewitt@ucdenver.edu>
Repository: CRAN
Date/Publication: 2019-01-21 23:30:03 UTC

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Package pubchunks updated to version 0.2.0 with previous version 0.1.0 dated 2018-10-14

Title: Fetch Sections of XML Scholarly Articles
Description: Get chunks of XML scholarly articles without having to know how to work with XML. Custom mappers for each publisher and for each article section pull out the information you want. Works with outputs from package 'fulltext', 'xml2' package documents, and file paths to XML documents.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <sckott@protonmail.com>

Diff between pubchunks versions 0.1.0 dated 2018-10-14 and 0.2.0 dated 2019-01-21

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Package IsoSpecR updated to version 1.9.2 with previous version 1.9.1 dated 2018-11-18

Title: The IsoSpec Algorithm
Description: IsoSpec is a fine structure calculator used for obtaining the most probable masses of a chemical compound given the frequencies of the composing isotopes and their masses. It finds the smallest set of isotopologues with a given probability. The probability is assumed to be that of the product of multinomial distributions, each corresponding to one particular element and parametrized by the frequencies of finding these elements in nature. These numbers are supplied by IUPAC - the International Union of Pure and Applied Chemistry.
Author: Mateusz Krzysztof Lacki and Michal Startek
Maintainer: Matteo Lacki <matteo.lacki@gmail.com>

Diff between IsoSpecR versions 1.9.1 dated 2018-11-18 and 1.9.2 dated 2019-01-21

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Package curveDepth updated to version 0.1.0.8 with previous version 0.1.0.7 dated 2019-01-08

Title: Tukey Curve Depth and Distance in the Space of Curves
Description: Data recorded as paths or trajectories may be suitably described by curves, which are independent of their parametrization. For the space of such curves, the package provides functionalities for reading curves, sampling points on curves, calculating distance between curves and for computing Tukey curve depth of a curve w.r.t. to a bundle of curves. For details see Lafaye De Micheaux, Mozharovskyi, and Vimond (2019) <arXiv:1901.00180>.
Author: Pavlo Mozharovskyi [aut, cre], Pierre Lafaye De Micheaux [aut], Myriam Vimond [aut]
Maintainer: Pavlo Mozharovskyi <pavlo.mozharovskyi@telecom-paristech.fr>

Diff between curveDepth versions 0.1.0.7 dated 2019-01-08 and 0.1.0.8 dated 2019-01-21

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Package ical updated to version 0.1.6 with previous version 0.1.5 dated 2018-12-03

Title: 'iCalendar' Parsing
Description: A simple wrapper around the 'ical.js' library executing 'Javascript' code via 'V8' (the 'Javascript' engine driving the 'Chrome' browser and 'Node.js' and accessible via the 'V8' R package). This package enables users to parse 'iCalendar' files ('.ics', '.ifb', '.iCal', '.iFBf') into lists and 'data.frames' to ultimately do statistics on events, meetings, schedules, birthdays, and the like.
Author: Peter Meissner [aut, cre], Philipp Kewisch [cph] (Ical.js file is is licences under MPL. Source: https://github.com/mozilla-comm/ical.js)
Maintainer: Peter Meissner <retep.meissner@gmail.com>

Diff between ical versions 0.1.5 dated 2018-12-03 and 0.1.6 dated 2019-01-21

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Package bfp updated to version 0.0-40 with previous version 0.0-39.1 dated 2019-01-16

Title: Bayesian Fractional Polynomials
Description: Implements the Bayesian paradigm for fractional polynomial models under the assumption of normally distributed error terms, see Sabanes Bove, D. and Held, L. (2011) <doi:10.1007/s11222-010-9170-7>.
Author: Daniel Sabanes Bove [aut, cre], Isaac Gravestock [aut], Robert Davies [cph], Stephen Moshier [cph]
Maintainer: ORPHANED

Diff between bfp versions 0.0-39.1 dated 2019-01-16 and 0.0-40 dated 2019-01-21

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Package markovchain updated to version 0.6.9.14 with previous version 0.6.9.12 dated 2018-08-23

Title: Easy Handling Discrete Time Markov Chains
Description: Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided.
Author: Giorgio Alfredo Spedicato [aut, cre] (<https://orcid.org/0000-0002-0315-8888>), Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb] (<https://orcid.org/0000-0001-7242-1873>), Deepak Yadav [aut], Ignacio Cordón [ctb], Vandit Jain [ctb], Toni Giorgino [ctb] (<https://orcid.org/0000-0001-6449-0596>)
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

Diff between markovchain versions 0.6.9.12 dated 2018-08-23 and 0.6.9.14 dated 2019-01-21

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Package LexisNexisTools updated to version 0.2.1 with previous version 0.2.0 dated 2018-09-10

Title: Working with Files from 'LexisNexis'
Description: My PhD supervisor once told me that everyone doing newspaper analysis starts by writing code to read in files from the 'LexisNexis' newspaper archive (retrieved e.g., from <http://www.nexis.com/> or any of the partner sites). However, while this is a nice exercise I do recommend, not everyone has the time. This package takes TXT files downloaded from the newspaper archive of 'LexisNexis', reads them into R and offers functions for further processing.
Author: Johannes Gruber [aut, cre]
Maintainer: Johannes Gruber <j.gruber.1@research.gla.ac.uk>

Diff between LexisNexisTools versions 0.2.0 dated 2018-09-10 and 0.2.1 dated 2019-01-21

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Package BayesianTools updated to version 0.1.6 with previous version 0.1.5 dated 2018-07-16

Title: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
Description: General-purpose MCMC and SMC samplers, as well as plot and diagnostic functions for Bayesian statistics, with a particular focus on calibrating complex system models. Implemented samplers include various Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential Monte Carlo (SMC) particle filter.
Author: Florian Hartig [aut, cre], Francesco Minunno [aut], Stefan Paul [aut], David Cameron [ctb], Tankred Ott [ctb], Maximilian Pichler [ctb]
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>

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Package stylo updated to version 0.6.9 with previous version 0.6.8 dated 2018-10-08

Title: Stylometric Multivariate Analyses
Description: Supervised and unsupervised multivariate methods, supplemented by GUI and some visualizations, to perform various analyses in the field of computational stylistics, authorship attribution, etc. For further reference, see Eder et al. (2016), <https://journal.r-project.org/archive/2016/RJ-2016-007/index.html> You are also encouraged to visit the Computational Stylistics Group's website <https://computationalstylistics.github.io/>, where a reasonable amount of information about the package and related projects are provided.
Author: Maciej Eder, Jan Rybicki, Mike Kestemont, Steffen Pielstroem
Maintainer: Maciej Eder <maciejeder@gmail.com>

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Package Spbsampling updated to version 1.1.0 with previous version 1.0.0 dated 2018-05-30

Title: Spatially Balanced Sampling
Description: Selection of spatially balanced samples. In particular, the implemented sampling designs allow to select probability samples spread over the population of interest, in any dimension and using any distance function (e.g. Euclidean distance, Manhattan distance). For more details, Benedetti R and Piersimoni F (2017) <doi:10.1002/bimj.201600194> and Benedetti R and Piersimoni F (2017) <arXiv:1710.09116>. The implementation has been done in C++ through the use of 'Rcpp' and 'RcppArmadillo'.
Author: Francesco Pantalone [aut, cre], Roberto Benedetti [aut], Federica Piersimoni [aut]
Maintainer: Francesco Pantalone <pantalone.fra@gmail.com>

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Package MCAvariants updated to version 2.2 with previous version 2.0 dated 2016-11-22

Title: Multiple Correspondence Analysis Variants
Description: Provides two variants of multiple correspondence analysis (ca): multiple ca and ordered multiple ca via orthogonal polynomials of Emerson.
Author: Rosaria Lombardo and Eric J Beh
Maintainer: Rosaria Lombardo <rosaria.lombardo@unicampania.it>

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Package RcppXPtrUtils updated to version 0.1.1 with previous version 0.1.0 dated 2017-08-04

Title: XPtr Add-Ons for 'Rcpp'
Description: Provides the means to compile user-supplied C++ functions with 'Rcpp' and retrieve an 'XPtr' that can be passed to other C++ components.
Author: Iñaki Ucar [aut, cph, cre] (<https://orcid.org/0000-0001-6403-5550>)
Maintainer: Iñaki Ucar <iucar@fedoraproject.org>

Diff between RcppXPtrUtils versions 0.1.0 dated 2017-08-04 and 0.1.1 dated 2019-01-21

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Package MHTcop updated to version 0.1.1 with previous version 0.1.0 dated 2018-04-05

Title: Tests Controlling the FDR / FWER under Certain Copula Models
Description: Implements tests controlling the false discovery rate (FDR) / family-wise error rate (FWER) for some copula models.
Author: Jonathan von Schroeder [aut, cre], Taras Bodnar [aut], Jens Stange [aut]
Maintainer: Jonathan von Schroeder <jvs@uni-bremen.de>

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Package konfound updated to version 0.1.1 with previous version 0.1.0 dated 2018-04-06

Title: Quantify the Robustness of Causal Inferences
Description: Statistical methods that quantify the conditions necessary to alter inferences, also known as sensitivity analysis, are becoming increasingly important to a variety of quantitative sciences. A series of recent works, including Frank (2000) <doi:10.1177/0049124100029002001> and Frank et al. (2013) <doi:10.3102/0162373713493129> extend previous sensitivity analyses by considering the characteristics of omitted variables or unobserved cases that would change an inference if such variables or cases were observed. These analyses generate statements such as "an omitted variable would have to be correlated at xx with the predictor of interest (e.g., treatment) and outcome to invalidate an inference of a treatment effect". Or "one would have to replace pp percent of the observed data with null hypothesis cases to invalidate the inference". We implement these recent developments of sensitivity analysis and provide modules to calculate these two robustness indices and generate such statements in R. In particular, the functions konfound(), pkonfound() and mkonfound() allow users to calculate the robustness of inferences for a user's own model, a single published study and multiple studies respectively.
Author: Joshua M Rosenberg [aut, cre], Ran Xu [ctb], Kenneth A Frank [ctb]
Maintainer: Joshua M Rosenberg <jmichaelrosenberg@gmail.com>

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Package island updated to version 0.2.2 with previous version 0.2.1 dated 2018-05-09

Title: Stochastic Island Biogeography Theory Made Easy
Description: Tools to develop stochastic models based on the Theory of Island Biogeography (TIB) of MacArthur and Wilson (1967) <DOI:10.1023/A:1016393430551> and extensions. The package implements methods to estimate colonization and extinction rates (including environmental variables) given presence-absence data, simulate community assembly, and perform model selection.
Author: Vicente Jimenez [aut, cre], David Alonso [aut]
Maintainer: Vicente Jimenez <vicente.jimenez.ontiveros@gmail.com>

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Package Immigrate updated to version 0.0.2 with previous version 0.0.1 dated 2018-10-14

Title: Iterative Max-Min Entropy Margin-Maximization with Interaction Terms for Feature Selection
Description: Based on large margin principle, this package performs feature selection methods: "IM4E"(Iterative Margin-Maximization under Max-Min Entropy Algorithm); "imIM4E"(imbalance Iterative Margin-Maximization under Max-Min Entropy Algorithm); "Immigrate"(Iterative Max-Min Entropy Margin-Maximization with Interaction Terms Algorithm); "BIM"(Boosted version of IMMIGRATE algorithm); "Simba"(Iterative Search Margin Based Algorithm); "LFE"(Local Feature Extraction Algorithm). This package also performs prediction for the above feature selection methods. See Zhao et al. (2018) <arXiv:1810.02658> for more details.
Author: Ruzhang Zhao, Pengyu Hong, Jun S. Liu
Maintainer: Ruzhang Zhao<zrz6787@gmail.com>

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Package taxlist updated to version 0.1.6 with previous version 0.1.5 dated 2018-06-29

Title: Handling Taxonomic Lists
Description: Handling taxonomic lists through objects of class 'taxlist'. This package provides functions to import species lists from 'Turboveg' (<https://www.synbiosys.alterra.nl/turboveg>) and the possibility to create backups from resulting R-objects. Also quick displays are implemented as summary-methods.
Author: Miguel Alvarez [aut, cre] (<https://orcid.org/0000-0003-1500-1834>)
Maintainer: Miguel Alvarez <kamapu78@gmail.com>

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Package SSBtools updated to version 0.4.0 with previous version 0.3.0 dated 2018-08-22

Title: Statistics Norway's Miscellaneous Tools
Description: Functions used by other packages from Statistics Norway are gathered. General data manipulation functions, and functions for hierarchical computations are included. The hierarchy specification functions are useful within statistical disclosure control.
Author: Øyvind Langsrud [aut, cre], Bjørn-Helge Mevik [cph]
Maintainer: Øyvind Langsrud <oyl@ssb.no>

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Package simode updated to version 1.1.2 with previous version 1.1.1 dated 2018-10-05

Title: Statistical Inference for Systems of Ordinary Differential Equations using Separable Integral-Matching
Description: Implements statistical inference for systems of ordinary differential equations, that uses the integral-matching criterion and takes advantage of the separability of parameters, in order to obtain initial parameter estimates for nonlinear least squares optimization. Dattner & Yaari (2018) <arXiv:1807.04202>. Dattner et al. (2017) <doi:10.1098/rsif.2016.0525>. Dattner & Klaassen (2015) <doi:10.1214/15-EJS1053>.
Author: Itai Dattner [aut], Rami Yaari [aut, cre]
Maintainer: Rami Yaari <ramiyaari@gmail.com>

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Package rprev updated to version 1.0.1 with previous version 1.0.0 dated 2018-06-07

Title: Estimating Disease Prevalence from Registry Data
Description: Estimates disease prevalence for a given index date, using existing registry data extended with Monte Carlo simulations.
Author: Stuart Lacy [cre, aut], Simon Crouch [aut], Stephanie Lax [aut]
Maintainer: Stuart Lacy <stuart.lacy@york.ac.uk>

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Package ranger updated to version 0.11.0 with previous version 0.10.1 dated 2018-06-04

Title: A Fast Implementation of Random Forests
Description: A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix') can be directly analyzed.
Author: Marvin N. Wright [aut, cre], Stefan Wager [ctb], Philipp Probst [ctb]
Maintainer: Marvin N. Wright <cran@wrig.de>

Diff between ranger versions 0.10.1 dated 2018-06-04 and 0.11.0 dated 2019-01-21

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Package BDgraph updated to version 2.54 with previous version 2.53 dated 2018-11-14

Title: Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
Description: Provides statistical tools for Bayesian structure learning in undirected graphical models for continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889>, Letac et al. (2018) <arXiv:1706.04416>, Dobra and Mohammadi (2018) <doi:10.1214/18-AOAS1164>, Mohammadi et al. (2017) <doi:10.1111/rssc.12171>. To speed up the computations, the BDMCMC sampling algorithms are implemented in parallel using OpenMP in C++.
Author: Reza Mohammadi [aut, cre] <https://orcid.org/0000-0001-9538-0648>, Ernst Wit [aut], Adrian Dobra [ctb]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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Package antaresRead updated to version 2.2.2 with previous version 2.2.1 dated 2018-10-18

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). You can see the results of several ANTARES studies here : <http://bpnumerique.rte-france.com/>.
Author: Jalal-Edine ZAWAM [aut], Frederic Breant [aut, cre], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], RTE [cph]
Maintainer: Frederic Breant <frederic.breant@rte-france.com>

Diff between antaresRead versions 2.2.1 dated 2018-10-18 and 2.2.2 dated 2019-01-21

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Package portalr (with last version 0.1.4) was removed from CRAN

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

2018-11-14 0.1.4

Permanent link
Package mixpack (with last version 0.3.6) was removed from CRAN

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

2017-01-27 0.3.6
2015-12-08 0.3.4

Permanent link
Package TH.data updated to version 1.0-10 with previous version 1.0-9 dated 2018-07-10

Title: TH's Data Archive
Description: Contains data sets used in other packages Torsten Hothorn maintains.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between TH.data versions 1.0-9 dated 2018-07-10 and 1.0-10 dated 2019-01-21

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Package RSmartlyIO updated to version 0.1.3 with previous version 0.1.2 dated 2017-06-08

Title: Loading Facebook and Instagram Advertising Data from 'Smartly.io'
Description: Aims at loading Facebook and Instagram advertising data from 'Smartly.io' into R. 'Smartly.io' is an online advertising service that enables advertisers to display commercial ads on social media networks (see <http://www.smartly.io/> for more information). The package offers an interface to query the 'Smartly.io' API and loads data directly into R for further data processing and data analysis.
Author: Johannes Burkhardt <johannes.burkhardt@gmail.com>
Maintainer: Johannes Burkhardt <johannes.burkhardt@gmail.com>

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Package ethnobotanyR updated to version 0.1.3 with previous version 0.1.2 dated 2019-01-19

Title: Calculate Quantitative Ethnobotany Indices
Description: Calculate common quantitative ethnobotany indices to assess the cultural significance of plant species based on informant consensus. The package closely follows the paper by Tardio and Pardo-de-Santayana (2008). Tardio, J., and M. Pardo-de-Santayana, 2008. Cultural Importance Indices: A Comparative Analysis Based on the Useful Wild Plants of Southern Cantabria (Northern Spain) 1. Economic Botany, 62(1), 24-39. <doi:10.1007/s12231-007-9004-5>.
Author: Cory Whitney
Maintainer: Cory Whitney <whitney.cory@gmail.com>

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Package e1071 updated to version 1.7-0.1 with previous version 1.7-0 dated 2018-07-28

Title: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Description: Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, ...
Author: David Meyer [aut, cre], Evgenia Dimitriadou [aut, cph], Kurt Hornik [aut], Andreas Weingessel [aut], Friedrich Leisch [aut], Chih-Chung Chang [ctb, cph] (libsvm C++-code), Chih-Chen Lin [ctb, cph] (libsvm C++-code)
Maintainer: David Meyer <David.Meyer@R-project.org>

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Package ddsPLS updated to version 1.0.61 with previous version 1.0.53 dated 2019-01-08

Title: Data-Driven Sparse PLS Robust to Missing Samples for Mono and Multi-Block Data Sets
Description: Allows to build Multi-Data-Driven Sparse PLS models. Multi-blocks with high-dimensional settings are particularly sensible to this.
Author: Hadrien Lorenzo [aut, cre], Jerome Saracco [aut], Rodolphe Thiebaut [aut]
Maintainer: Hadrien Lorenzo <hadrien.lorenzo.2015@gmail.com>

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Package outbreaks updated to version 1.5.0 with previous version 1.3.0 dated 2017-05-10

Title: A Collection of Disease Outbreak Data
Description: Empirical or simulated disease outbreak data, provided either as RData or as text files.
Author: Thibaut Jombart [aut], Simon Frost [aut], Pierre Nouvellet [aut], Finlay Campbell [aut, cre], Bertrand Sudre [aut], Sang Woo Park [ctb], Juliet R.C. Pulliam [ctb]
Maintainer: Finlay Campbell <f.campbell15@imperial.ac.uk>

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Package hrbrthemes updated to version 0.6.0 with previous version 0.5.0.1 dated 2018-08-19

Title: Additional Themes, Theme Components and Utilities for 'ggplot2'
Description: A compilation of extra 'ggplot2' themes, scales and utilities, including a spell check function for plot label fields and an overall emphasis on typography. A copy of the 'Google' font 'Roboto Condensed' <https://github.com/google/roboto/> is also included along with a copy of the 'IBM' 'Plex Sans' <https://github.com/IBM/type> and 'Titillium Web' <https://fonts.google.com/specimen/Titillium+Web> fonts are also included to support their respective typography-oriented themes.
Author: Bob Rudis [aut, cre] (<https://orcid.org/0000-0001-5670-2640>), Patrick Kennedy [ctb], Philipp Reiner [ctb], Dan Wilson [ctb] (Secondary axis support), Xavier Adam [ctb], Google [cph] (Roboto Condensed & Titillium Web Fonts), IBM [cph] (Plex Sans Font), Jacob Barnett [ctb], Thomas J. Leeper [ctb] (<https://orcid.org/0000-0003-4097-6326>), Joris Meys [ctb]
Maintainer: Bob Rudis <bob@rud.is>

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Package hBayesDM updated to version 0.7.1 with previous version 0.7.0 dated 2018-12-13

Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
Description: Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of various computational models with a single line of coding.
Author: Woo-Young Ahn [aut, cre], Nate Haines [aut], Lei Zhang [aut], Harhim Park [ctb], Jaeyeong Yang [ctb], Jethro Lee [ctb]
Maintainer: Woo-Young Ahn <wooyoung.ahn@gmail.com>

Diff between hBayesDM versions 0.7.0 dated 2018-12-13 and 0.7.1 dated 2019-01-21

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New package eventstudies with initial version 1.2.1
Package: eventstudies
Version: 1.2.1
Date: 2019-01-08
Type: Package
Title: Event Study Analysis
Authors@R: c( person("Chirag", "Anand", role = c("aut", "cre"), email = "anand.chirag@gmail.com"), person("Vikram", "Bahure", role = "aut", email = "economics.vikram@gmail.com"), person("Vimal", "Balasubramaniam", role = "aut", email = "vimsaa@gmail.com"), person("Shekhar", "Harikumar", role = "ctb", email = "shekhar.harikumar@gmail.com"), person("Sargam", "Jain", role = "ctb", email = "sargamjain13@gmail.com"), person("Ajay", "Shah", role = "aut", email = "ajayshah@mayin.org") )
Maintainer: Chirag Anand <anand.chirag@gmail.com>
Depends: R (>= 3.1), zoo, xts
Description: A platform for conducting event studies (Fama, Fisher, Jensen, Roll (1969) <doi:10.2307/2525569>) and for methodological research on event studies. The package supports market model, augmented market model, and excess returns methods for data modelling along with Wilcox, classical t-test, and Bootstrap as inference procedures.
VignetteBuilder: knitr
Suggests: knitr
Imports: boot, graphics, methods, testthat, sandwich, stats, utils
License: GPL-2
URL: https://github.com/nipfpmf/eventstudies
BugReports: https://github.com/nipfpmf/eventstudies/issues
LazyLoad: yes
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2019-01-21 06:58:41.50401 UTC; chirag
Author: Chirag Anand [aut, cre], Vikram Bahure [aut], Vimal Balasubramaniam [aut], Shekhar Harikumar [ctb], Sargam Jain [ctb], Ajay Shah [aut]
Repository: CRAN
Date/Publication: 2019-01-21 09:10:15 UTC

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New package CluMix with initial version 2.3.1
Package: CluMix
Type: Package
Title: Clustering and Visualization of Mixed-Type Data
Version: 2.3.1
Date: 2019-01-20
Author: M. Hummel, D. Edelmann, A. Kopp-Schneider
Maintainer: Manuela Hummel <manuela.hummel@web.de>
Description: Provides utilities for clustering subjects and variables of mixed data types (Hummel, Edelmann, Kopp-Schneider (2017) <doi: 10.1371/journal.pone.0188274>). Similarities between subjects are measured by Gower's general similarity coefficient with an extension of Podani for ordinal variables. Similarities between variables can be assessed i) by combination of appropriate measures of association for different pairs of data types or ii) based on distance correlation. Alternatively, variables can also be clustered by the 'ClustOfVar' approach. The main feature of the package is the generation of a mixed-data heatmap. For visualizing similarities between either subjects or variables, a heatmap of the corresponding distance matrix can be drawn. Associations between variables can be explored by a 'confounder plot', which allows visual detection of possible confounding, collinear, or surrogate factors for some variables of primary interest. Distance matrices and dendrograms for subjects and variables can be derived and used for further visualizations and applications. This work was supported by BMBF grant 01ZX1609B, Germany.
License: GPL (>= 2)
Depends:
Imports: ClustOfVar, Hmisc, DescTools, extracat, marray, FD, gplots, Matrix, Biobase
Suggests:
NeedsCompilation: no
Packaged: 2019-01-20 22:01:33 UTC; Humpas
Repository: CRAN
Date/Publication: 2019-01-21 09:10:22 UTC

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Package WRSS updated to version 2.1 with previous version 2.0 dated 2018-11-05

Title: Water Resources System Simulator
Description: Water resources system simulator is a tool for simulation and analysis of large-scale water resources systems. 'WRSS' proposes functions and methods for construction, simulation and analysis of primary storage and hydropower water resources features (e.g. reservoirs, aquifers, and etc.) based on Standard Operating Policy (SOP).
Author: Rezgar Arabzadeh; Parisa Aberi; Kaveh Panaghi; Shahab Araghinejad; Majid Montaseri
Maintainer: Rezgar Arabzadeh <rezgararabzadeh@ut.ac.ir>

Diff between WRSS versions 2.0 dated 2018-11-05 and 2.1 dated 2019-01-21

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Package RcppEnsmallen updated to version 0.1.13.0.1 with previous version 0.1.12.0.1 dated 2019-01-04

Title: Header-Only C++ Mathematical Optimization Library for 'Armadillo'
Description: 'Ensmallen' is a templated C++ mathematical optimization library (by the 'MLPACK' team) that provides a simple set of abstractions for writing an objective function to optimize. Provided within are various standard and cutting-edge optimizers that include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. The 'RcppEnsmallen' package includes the header files from the 'Ensmallen' library and pairs the appropriate header files from 'armadillo' through the 'RcppArmadillo' package. Therefore, users do not need to install 'Ensmallen' nor 'Armadillo' to use 'RcppEnsmallen'. Note that 'Ensmallen' is licensed under 3-Clause BSD, 'Armadillo' starting from 7.800.0 is licensed under Apache License 2, 'RcppArmadillo' (the 'Rcpp' bindings/bridge to 'Armadillo') is licensed under the GNU GPL version 2 or later. Thus, 'RcppEnsmallen' is also licensed under similar terms. Note that 'Ensmallen' requires a compiler that supports 'C++11' and 'Armadillo' 6.500 or later.
Author: James Joseph Balamuta [aut, cre, cph] (<https://orcid.org/0000-0003-2826-8458>), Dirk Eddelbuettel [aut, cph] (<https://orcid.org/0000-0001-6419-907X>)
Maintainer: James Joseph Balamuta <balamut2@illinois.edu>

Diff between RcppEnsmallen versions 0.1.12.0.1 dated 2019-01-04 and 0.1.13.0.1 dated 2019-01-21

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Package ParallelLogger updated to version 1.1.0 with previous version 1.0.1 dated 2018-10-25

Title: Support for Parallel Computation, Logging, and Function Automation
Description: Support for parallel computation with progress bar, and option to stop or proceed on errors. Also provides logging to console and disk, and the logging persists in the parallel threads. Additional functions support function call automation with delayed execution (e.g. for executing functions in parallel).
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package AcceptanceSampling updated to version 1.0-6 with previous version 1.0-5 dated 2016-12-29

Title: Creation and Evaluation of Acceptance Sampling Plans
Description: Provides functionality for creating and evaluating acceptance sampling plans. Sampling plans can be single, double or multiple.
Author: Andreas Kiermeier [aut, cre], Peter Bloomfield [ctb]
Maintainer: Andreas Kiermeier <Andreas.Kiermeier@gmail.com>

Diff between AcceptanceSampling versions 1.0-5 dated 2016-12-29 and 1.0-6 dated 2019-01-21

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Package tensorr updated to version 0.1.1 with previous version 0.1.0 dated 2017-04-01

Title: Sparse Tensors in R
Description: Provides methods to manipulate and store sparse tensors. Tensors are multidimensional generalizations of matrices (two dimensional) and vectors (one dimensional).
Author: Robert Zamora [aut, cre]
Maintainer: Robert Zamora <zamora.rr@gmail.com>

Diff between tensorr versions 0.1.0 dated 2017-04-01 and 0.1.1 dated 2019-01-21

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Package groupedstats updated to version 0.0.5 with previous version 0.0.4 dated 2018-12-01

Title: Grouped Statistical Analyses in a Tidy Way
Description: Collection of functions to run statistical tests across all levels of multiple grouping variables.
Author: Indrajeet Patil [aut, cre] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between groupedstats versions 0.0.4 dated 2018-12-01 and 0.0.5 dated 2019-01-21

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Package elo updated to version 1.1.0 with previous version 1.0.1 dated 2017-12-14

Title: Elo Ratings
Description: A flexible framework for calculating Elo ratings and resulting rankings of any two-team-per-matchup system (chess, sports leagues, 'Go', etc.). This implementation is capable of evaluating a variety of matchups, Elo rating updates, and win probabilities, all based on the basic Elo rating system.
Author: Ethan Heinzen [aut, cre]
Maintainer: Ethan Heinzen <heinzen.ethan@mayo.edu>

Diff between elo versions 1.0.1 dated 2017-12-14 and 1.1.0 dated 2019-01-21

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