Sat, 10 Mar 2018

Package ziphsmm updated to version 2.0.2 with previous version 2.0.1 dated 2018-01-05

Title: Zero-Inflated Poisson Hidden (Semi-)Markov Models
Description: Fit zero-inflated Poisson hidden (semi-)Markov models with or without covariates by directly minimizing the negative log likelihood function using the gradient descent algorithm. Multiple starting values should be used to avoid local minima.
Author: Zekun (Jack) Xu, Ye Liu
Maintainer: Zekun (Jack) Xu <zekunxu@gmail.com>

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Package widyr updated to version 0.1.1 with previous version 0.1.0 dated 2017-08-14

Title: Widen, Process, then Re-Tidy Data
Description: Encapsulates the pattern of untidying data into a wide matrix, performing some processing, then turning it back into a tidy form. This is useful for several operations such as co-occurrence counts, correlations, or clustering that are mathematically convenient on wide matrices.
Author: David Robinson [aut, cre], Kanishka Misra [ctb]
Maintainer: David Robinson <admiral.david@gmail.com>

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Package pense updated to version 1.2.0 with previous version 1.0.8 dated 2017-11-03

Title: Penalized Elastic Net S/MM-Estimator of Regression
Description: Robust penalized elastic net S and MM estimator for linear regression. The method is described in detail in Cohen Freue, G. V., Kepplinger, D., Salibian-Barrera, M., and Smucler, E. (2017) <https://gcohenfr.github.io/pdfs/PENSE_manuscript.pdf>.
Author: David Kepplinger [aut, cre], Matias Salibian-Barrera [aut], Gabriela Cohen Freue [aut], Derek Cho [ctb]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>

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Package mlr updated to version 2.12 with previous version 2.11 dated 2017-03-15

Title: Machine Learning in R
Description: Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with additional operations common in machine learning, also allowing for easy nested resampling. Most operations can be parallelized.
Author: Bernd Bischl [aut, cre], Michel Lang [aut], Lars Kotthoff [aut], Julia Schiffner [aut], Jakob Richter [aut], Zachary Jones [aut], Giuseppe Casalicchio [aut], Mason Gallo [aut], Jakob Bossek [ctb], Erich Studerus [ctb], Leonard Judt [ctb], Tobias Kuehn [ctb], Pascal Kerschke [ctb], Florian Fendt [ctb], Philipp Probst [ctb], Xudong Sun [ctb], Janek Thomas [ctb], Bruno Vieira [ctb], Laura Beggel [ctb], Quay Au [ctb], Martin Binder [ctb], Florian Pfisterer [ctb], Stefan Coors [ctb], Patrick Schratz [ctb], Steve Bronder [ctb]
Maintainer: Bernd Bischl <bernd_bischl@gmx.net>

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Package vtreat updated to version 1.0.3 with previous version 1.0.2 dated 2018-01-20

Title: A Statistically Sound 'data.frame' Processor/Conditioner
Description: A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. 'vtreat' prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). Reference: "'vtreat': a data.frame Processor for Predictive Modeling", 'Zumel', 'Mount', 2016, DOI:10.5281/zenodo.1173314.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between vtreat versions 1.0.2 dated 2018-01-20 and 1.0.3 dated 2018-03-10

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Package sparr updated to version 2.2-11 with previous version 2.2-1 dated 2018-02-22

Title: Spatial and Spatiotemporal Relative Risk
Description: Provides functions to estimate kernel-smoothed spatial and spatio-temporal densities and relative risk functions, and perform subsequent inference. Methodological details can be found in the accompanying tutorial: Davies et al. (2018) <DOI:10.1002/sim.7577>.
Author: Tilman M. Davies [aut, cre], Jonathan C. Marshall [aut]
Maintainer: Tilman M. Davies <tdavies@maths.otago.ac.nz>

Diff between sparr versions 2.2-1 dated 2018-02-22 and 2.2-11 dated 2018-03-10

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Package ICSNP updated to version 1.1-1 with previous version 1.1-0 dated 2015-09-22

Title: Tools for Multivariate Nonparametrics
Description: Tools for multivariate nonparametrics, as location tests based on marginal ranks, spatial median and spatial signs computation, Hotelling's T-test, estimates of shape are implemented.
Author: Klaus Nordhausen, Seija Sirkia, Hannu Oja, David E. Tyler
Maintainer: Klaus Nordhausen <klaus.nordhausen@tuwien.ac.at>

Diff between ICSNP versions 1.1-0 dated 2015-09-22 and 1.1-1 dated 2018-03-10

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Package fastM updated to version 0.0-3 with previous version 0.0-2 dated 2014-04-12

Title: Fast Computation of Multivariate M-Estimators
Description: Implements the new algorithm for fast computation of M-scatter matrices using a partial Newton-Raphson procedure for several estimators. The algorithm is described in Duembgen, Nordhausen and Schuhmacher (2016) <doi:10.1016/j.jmva.2015.11.009>.
Author: Lutz Duembgen, Klaus Nordhausen, Heike Schuhmacher
Maintainer: Klaus Nordhausen <klaus.nordhausen@tuwien.ac.at>

Diff between fastM versions 0.0-2 dated 2014-04-12 and 0.0-3 dated 2018-03-10

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More information about fastM at CRAN
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Package sim1000G updated to version 1.39 with previous version 1.38 dated 2018-02-18

Title: Genotype Simulations for Rare or Common Variants Using Haplotypes from 1000 Genomes
Description: Generates realistic simulated genetic data in families or unrelated individuals.
Author: Apostolos Dimitromanolakis <apostolis@live.ca>, Jingxiong Xu <jingxiong.xu@mail.utoronto.ca>, Agnieszka Krol <krol@lunenfeld.ca>, Laurent Briollais <laurent@lunenfeld.ca>
Maintainer: Apostolos Dimitromanolakis <apostolis@live.ca>

Diff between sim1000G versions 1.38 dated 2018-02-18 and 1.39 dated 2018-03-10

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 11 files changed, 146 insertions(+), 257 deletions(-)

More information about sim1000G at CRAN
Permanent link

Package Rfast updated to version 1.8.8 with previous version 1.8.6 dated 2017-11-17

Title: A Collection of Efficient and Extremely Fast R Functions
Description: A collection of fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions.
Author: Manos Papadakis, Michail Tsagris, Marios Dimitriadis, Stefanos Fafalios, Ioannis Tsamardinos, Matteo Fasiolo, Giorgos Borboudakis, John Burkardt, Changliang Zou and Kleanthi Lakiotaki
Maintainer: Manos Papadakis <papadakm95@gmail.com>

Diff between Rfast versions 1.8.6 dated 2017-11-17 and 1.8.8 dated 2018-03-10

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Package rmonad updated to version 0.5.0 with previous version 0.4.0 dated 2017-12-20

Title: A Monadic Pipeline System
Description: A monadic solution to pipeline analysis. All operations -- and the errors, warnings and messages they emit -- are merged into a directed graph. Infix binary operators mediate when values are stored, how exceptions are handled, and where pipelines branch and merge. The resulting structure may be queried for debugging or report generation. 'rmonad' complements, rather than competes with, non-monadic pipeline packages like 'magrittr' or 'pipeR'. This work is funded by the NSF (award number 1546858).
Author: Zebulun Arendsee [aut, cre]
Maintainer: Zebulun Arendsee <zbwrnz@gmail.com>

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Package PoisNonNor updated to version 1.5 with previous version 1.4 dated 2018-01-10

Title: Simultaneous Generation of Count and Continuous Data
Description: Generation of count (assuming Poisson distribution) and continuous data (using Fleishman polynomials) simultaneously.
Author: Hakan Demirtas, Yaru Shi, Rawan Allozi
Maintainer: Rawan Allozi <ralloz2@uic.edu>

Diff between PoisNonNor versions 1.4 dated 2018-01-10 and 1.5 dated 2018-03-10

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Package pgirmess updated to version 1.6.8 with previous version 1.6.7 dated 2017-03-27

Title: Data Analysis in Ecology
Description: Tools for spatial analysis and model selection in ecology.
Author: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>
Maintainer: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>

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Package meteoland updated to version 0.7.1 with previous version 0.6.7 dated 2017-11-15

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape.
Author: Miquel De Cáceres [aut, cre], Nicolas Martin [aut], Víctor Granda [aut], Antoine Cabon [aut]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

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Package Luminescence updated to version 0.8.2 with previous version 0.7.5 dated 2017-06-29

Title: Comprehensive Luminescence Dating Data Analysis
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], Norbert Mercier [ctb], Rachel K. Smedley [ctb] (<https://orcid.org/0000-0001-7773-5193>), Claire Christophe [ctb], Antoine Zink [ctb], 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], Markus Fuchs [ths]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@u-bordeaux-montaigne.fr>

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Package igraph updated to version 1.2.1 with previous version 1.1.2 dated 2017-07-21

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: See AUTHORS file.
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package hms updated to version 0.4.2 with previous version 0.4.1 dated 2018-01-24

Title: Pretty Time of Day
Description: Implements an S3 class for storing and formatting time-of-day values, based on the 'difftime' class.
Author: Kirill Müller [aut, cre], The R Consortium [fnd]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package datetimeutils updated to version 0.2-12 with previous version 0.2-7 dated 2017-08-28

Title: Utilities for Dates and Times
Description: Utilities for handling dates and times, such as selecting particular days of the week or month, formatting timestamps as required by RSS feeds, or converting timestamp representations of other software (such as 'MATLAB' and 'Excel') to R. The package is lightweight (no dependencies, pure R implementations) and relies only on R's standard classes to represent dates and times ('Date' and 'POSIXt'); it aims to provide efficient implementations, through vectorisation and the use of R's native numeric representations of timestamps where possible.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package rquery updated to version 0.4.0 with previous version 0.3.1 dated 2018-02-10

Title: Relational Query Generator for Data Manipulation at Scale
Description: A 'SQL' query generator based on Edgar F. Codd's relational algebra and experience using 'SQL' and 'dplyr' at big data scale. The design represents an attempt to make 'SQL' more teachable by denoting composition by a sequential pipeline notation instead of nested queries or functions. The implementation delivers reliable high performance data processing on large data systems such as `Spark` and databases. Package features include: data processing trees or pipelines as observable objects (able to report both columns produced and columns used), optimized 'SQL' generation as an explicit user visible modeling step, and convenience methods for applying query trees to in-memory 'data.frame's.
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package tsensembler updated to version 0.0.3 with previous version 0.0.2 dated 2017-08-28

Title: Dynamic Ensembles for Time Series Forecasting
Description: A framework for dynamically combining forecasting models for time series forecasting predictive tasks. It leverages machine learning models from other packages to automatically combine expert advice using metalearning and other state-of-the-art forecasting combination approaches. The predictive methods receive a data matrix as input, representing an embedded time series, and return a predictive ensemble model. The ensemble use generic functions 'predict()' and 'forecast()' to forecast future values of the time series. Moreover, an ensemble can be updated using methods, such as 'update_weights()' or 'update_base_models()'. A complete description of the methods can be found in: Cerqueira, V., Torgo, L., Pinto, F., and Soares, C. "Arbitrated Ensemble for Time Series Forecasting." to appear at: Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2017; and Cerqueira, V., Torgo, L., and Soares, C.: "Arbitrated Ensemble for Solar Radiation Forecasting." International Work-Conference on Artificial Neural Networks. Springer, 2017 <doi:10.1007/978-3-319-59153-7_62>.
Author: Vitor Cerqueira [aut, cre], Luis Torgo [ctb], Carlos Soares [ctb]
Maintainer: Vitor Cerqueira <cerqueira.vitormanuel@gmail.com>

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Package srvyr updated to version 0.3.1 with previous version 0.3.0 dated 2018-01-23

Title: 'dplyr'-Like Syntax for Summary Statistics of Survey Data
Description: Use piping, verbs like 'group_by' and 'summarize', and other 'dplyr' inspired syntactic style when calculating summary statistics on survey data using functions from the 'survey' package.
Author: Greg Freedman Ellis [aut, cre], Thomas Lumley [ctb]
Maintainer: Greg Freedman Ellis <greg.freedman@gmail.com>

Diff between srvyr versions 0.3.0 dated 2018-01-23 and 0.3.1 dated 2018-03-10

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Package pccc updated to version 1.0.1 with previous version 1.0.0 dated 2017-12-13

Title: Pediatric Complex Chronic Conditions
Description: An implementation of the pediatric complex chronic conditions (CCC) classification system using R and C++.
Author: Peter DeWitt [aut], Tell Bennett [aut], James Feinstein [aut], Seth Russell [aut, cre]
Maintainer: Seth Russell <seth.russell@ucdenver.edu>

Diff between pccc versions 1.0.0 dated 2017-12-13 and 1.0.1 dated 2018-03-10

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New package tmod with initial version 0.36
Package: tmod
Type: Package
Title: Feature Set Enrichment Analysis for Metabolomics and Transcriptomics
Version: 0.36
Date: 2018-03-09
Author: January Weiner
Maintainer: January Weiner <january.weiner@gmail.com>
Description: Methods and feature set definitions for feature or gene set enrichment analysis in transcriptional and metabolic profiling data. Package includes tests for enrichment based on ranked lists of features, functions for visualisation and multivariate functional analysis.
License: GPL (>= 2.0)
Depends: R (>= 2.10)
LazyData: false
VignetteBuilder: knitr
URL: http://bioinfo.mpiib-berlin.mpg.de/tmod/
Imports: beeswarm,tagcloud,XML,methods,plotwidgets
Suggests: testthat,knitr,rmarkdown,pca3d,limma
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-09 15:23:51 UTC; january
Repository: CRAN
Date/Publication: 2018-03-10 16:16:10 UTC

More information about tmod at CRAN
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Package SQRL updated to version 0.2.1 with previous version 0.2.0 dated 2018-03-08

Title: Database Query Interfaces
Description: Wrapper to 'RODBC'. Supports parameterised, multi-statement, 'SQL' scripts, with embedded 'R'. Implicit handling of connection channels and communication parameters.
Author: Mike Lee
Maintainer: Mike Lee <random.deviate@gmail.com>

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Package spData updated to version 0.2.8.1 with previous version 0.2.7.4 dated 2018-02-11

Title: Datasets for Spatial Analysis
Description: Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire and cycle_hire_osm, for example, is designed to illustrate point pattern analysis techniques.
Author: Roger Bivand [aut] (<https://orcid.org/0000-0003-2392-6140>), Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Robin Lovelace [aut] (<https://orcid.org/0000-0001-5679-6536>)
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package scatterD3 updated to version 0.8.2 with previous version 0.8.1 dated 2016-12-13

Title: D3 JavaScript Scatterplot from R
Description: Creates 'D3' 'JavaScript' scatterplots from 'R' with interactive features : panning, zooming, tooltips, etc.
Author: Julien Barnier [aut, cre], Kent Russell [aut, ctb], Mike Bostock [aut, cph] (d3.js library, http://d3js.org), Susie Lu [aut, cph] (d3-legend library, http://d3-legend.susielu.com/), Speros Kokenes [aut, cph] (d3-lasso-plugin library, https://github.com/skokenes/D3-Lasso-Plugin)
Maintainer: Julien Barnier <julien.barnier@ens-lyon.fr>

Diff between scatterD3 versions 0.8.1 dated 2016-12-13 and 0.8.2 dated 2018-03-10

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Package revtools updated to version 0.2.2 with previous version 0.2.1 dated 2018-02-06

Title: Tools to Support Evidence Synthesis
Description: Researchers commonly need to summarize scientific information, a process known as 'evidence synthesis'. The first stage of a synthesis process (such as a systematic review or meta-analysis) is to download a list of references from academic search engines such as 'Web of Knowledge' or 'Scopus'. This information can be sorted manually (the traditional approach to systematic review), or the user can draw on tools from machine learning to help them visualise patterns in the corpus. 'revtools' uses topic models to render ordinations of text drawn from article titles, keywords and abstracts, and allows the user to interactively select or exclude individual references, words or topics. 'revtools' does not currently provide tools for analysis of data drawn from those references, features that are available in other packages such as 'metagear' or 'metafor'.
Author: Martin J. Westgate <martinjwestgate@gmail.com>
Maintainer: Martin J. Westgate <martinjwestgate@gmail.com>

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Package relaimpo updated to version 2.2-3 with previous version 2.2-2 dated 2013-09-11

Title: Relative Importance of Regressors in Linear Models
Description: Provides several metrics for assessing relative importance in linear models. These can be printed, plotted and bootstrapped. The recommended metric is lmg, which provides a decomposition of the model explained variance into non-negative contributions. There is a version of this package available that additionally provides a new and also recommended metric called pmvd. If you are a non-US user, you can download this extended version from Ulrike Groempings web site.
Author: Ulrike Groemping [aut, cre], Lehrkamp Matthias [ctb]
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>

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New package Rcriticor with initial version 2.0
Package: Rcriticor
Type: Package
Title: Pierre-Goldwin Correlogram
Version: 2.0
Date: 2018-04-03
Author: Jean-Sebastien PIERRE [aut,cre]
Maintainer: J.S. Pierre <jean-sebastien.pierre@univ-rennes1.fr>
Depends: R (>= 3.2.0)
Description: Goldwin-Pierre correlogram. Research of critical periods in the past. Integrates a time series in a given window.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2018-03-09 18:36:35 UTC; jpierre
Repository: CRAN
Date/Publication: 2018-03-10 16:39:10 UTC

More information about Rcriticor at CRAN
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Package RcppAlgos updated to version 1.0.1 with previous version 1.0.0 dated 2018-03-07

Title: Tools for Combinatorics and Computational Mathematics
Description: Provides optimized functions implemented in C++ with 'Rcpp' for solving problems in combinatorics and computational mathematics. There is a combination function and a permutation function that are both flexible as well as efficient with respect to speed and memory. There are optional constraint parameters that when utilized, generate all combinations/ permutations of a vector meeting specific criteria (e.g. finding all combinations such that the sum is less than a bound). Both functions are capable of handling multisets as well. Additionally, there are several highly efficient number theoretic functions that are useful for problems common in computational mathematics. These include various sieving functions that can quickly generate the following: prime numbers, number of coprime elements, number of divisors, prime factorizations, and complete factorizations. Some of these functions make use of the fast integer division library 'libdivide' by <http://ridiculousfish.com>. The primeSieve function is based on the segmented sieve of Eratosthenes implementation by Kim Walisch. It is capable of generating all primes less than a billion in just over 1 second. It can also quickly generate prime numbers over a range (e.g. primeSieve(10^13, 10^13+10^9)). There are stand-alone vectorized functions for general factoring (e.g. all divisors of number), primality testing, as well as prime factoring (this function implements a non-gmp variant of Pollard's rho algorithm). Finally, there is a prime counting function that implements a simple variation of Legendre's formula based off of the algorithm by Kim Walisch. It is capable of returning the number of primes below a trillion in under 0.5 seconds.
Author: Joseph Wood
Maintainer: Joseph Wood <jwood000@gmail.com>

Diff between RcppAlgos versions 1.0.0 dated 2018-03-07 and 1.0.1 dated 2018-03-10

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Package properties updated to version 0.0-9 with previous version 0.0-8 dated 2015-12-02

Title: Parse 'Java' Properties Files for 'R Service Bus' Applications
Description: Allows to parse 'Java' properties files in the context of 'R Service Bus' applications.
Author: Tobias Verbeke, Daan Seynaeve, based on read.dcf by R Core Development Team
Maintainer: Daan Seynaeve <daan.seynaeve@openanalytics.eu>

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Package packrat updated to version 0.4.9 with previous version 0.4.8-1 dated 2016-09-07

Title: A Dependency Management System for Projects and their R Package Dependencies
Description: Manage the R packages your project depends on in an isolated, portable, and reproducible way.
Author: Kevin Ushey, Jonathan McPherson, Joe Cheng, Aron Atkins, JJ Allaire
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package icd updated to version 2.4.1 with previous version 2.3.1 dated 2017-10-12

Title: Tools for Working with ICD-9 and ICD-10 Codes, and Finding Comorbidities
Description: Calculate comorbidities, Charlson scores, perform fast and accurate validation, conversion, manipulation, filtering and comparison of ICD-9 and ICD-10 codes. Common ambiguities and code formats are handled. This package enables a work flow from raw lists of ICD codes in hospital billing databases to comorbidities. ICD-9 and ICD-10 comorbidity mappings from Quan (Deyo and Elixhauser versions), Elixhauser and AHRQ included. This package replaces 'icd9', which should be uninstalled.
Author: Jack O. Wasey [aut, cre, cph], William Murphy [ctb] (Van Walraven scores), Anobel Odisho [ctb] (Hierarchical Condition Codes), Ed Lee [ctb] (explain codes in table format), Kevin Ushey [ctb] (Code adapted for fast factor generation), R Core Team [ctb, cph] (m4 macro for OpenMP detection in configure)
Maintainer: Jack O. Wasey <jack@jackwasey.com>

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Permanent link

Package getTBinR updated to version 0.5.3 with previous version 0.5.2 dated 2018-02-13

Title: Get WHO Tuberculosis Data
Description: Facilitates easy import of analysis ready World Health Organisation Tuberculosis data and provides plotting functions for exploratory data analysis.
Author: Sam Abbott [aut, cre]
Maintainer: Sam Abbott <contact@samabbott.co.uk>

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Permanent link

Package filesstrings updated to version 2.1.0 with previous version 2.0.4 dated 2018-02-09

Title: Handy File and String Manipulation
Description: Convenient functions for moving files, deleting directories, and a variety of string operations that facilitate manipulating files and extracting information from strings.
Author: Rory Nolan [aut, cre, cph], Sergi Padilla-Parra [ths]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between filesstrings versions 2.0.4 dated 2018-02-09 and 2.1.0 dated 2018-03-10

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Package dma updated to version 1.3-1 with previous version 1.3-0 dated 2017-06-15

Title: Dynamic Model Averaging
Description: Dynamic model averaging for binary and continuous outcomes.
Author: Tyler H. McCormick, Adrian Raftery, David Madigan
Maintainer: Hana Sevcikova <hanas@uw.edu>

Diff between dma versions 1.3-0 dated 2017-06-15 and 1.3-1 dated 2018-03-10

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Package DescToolsAddIns updated to version 1.0 with previous version 0.9.2 dated 2017-11-25

Title: Some Functions to be Used as Shortcuts in 'RStudio'
Description: 'RStudio' as of recently offers the option to define addins and assign shortcuts to them. This package contains addins for a few most frequently used functions in a data scientist's (at least mine) daily work (like str(), example(), plot(), head(), view(), Desc()). Most of these functions will use the current selection in the editor window and send the specific command to the console while instantly executing it. Assigning shortcuts to these addins will save you quite a few keystrokes.
Author: Andri Signorell
Maintainer: Andri Signorell <andri@signorell.net>

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New package CBPS with initial version 0.18
Package: CBPS
Version: 0.18
Date: 2018-03-09
Title: Covariate Balancing Propensity Score
Authors@R: c( person("Christian", "Fong", , "christianfong@stanford.edu", c("aut", "cre")), person("Marc", "Ratkovic", , "ratkovic@princeton.edu", c("aut")), person("Kosuke", "Imai", , "kimai@Princeton.edu", c("aut")), person("Chad", "Hazlett", , "chazlett@ucla.edu", c("ctb")), person("Xiaolin", "Yang", , "xiaoliny@princeton.edu", c("ctb")), person("Sida", "Peng", , "sp947@cornell.edu", c("ctb")) )
Depends: R (>= 3.4), MASS, MatchIt, nnet, numDeriv, glmnet
Imports:
Description: Implements the covariate balancing propensity score (CBPS) proposed by Imai and Ratkovic (2014) <DOI:10.1111/rssb.12027>. The propensity score is estimated such that it maximizes the resulting covariate balance as well as the prediction of treatment assignment. The method, therefore, avoids an iteration between model fitting and balance checking. The package also implements several extensions of the CBPS beyond the cross-sectional, binary treatment setting. The current version implements the CBPS for longitudinal settings so that it can be used in conjunction with marginal structural models from Imai and Ratkovic (2015) <DOI:10.1080/01621459.2014.956872>, treatments with three- and four- valued treatment variables, continuous-valued treatments from Fong, Hazlett, and Imai (2015) <DOI:10.1214/17-AOAS1101>, and the situation with multiple distinct binary treatments administered simultaneously. In the future it will be extended to other settings including the generalization of experimental and instrumental variable estimates. Recently we have added the optimal CBPS which chooses the optimal balancing function and results in doubly robust and efficient estimator for the treatment effect as well as high dimensional CBPS when a large number of covariates exist.
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
NeedsCompilation: no
Repository: CRAN
RoxygenNote: 6.0.1
Suggests: testthat
Packaged: 2018-03-09 16:57:26 UTC; Christian
Author: Christian Fong [aut, cre], Marc Ratkovic [aut], Kosuke Imai [aut], Chad Hazlett [ctb], Xiaolin Yang [ctb], Sida Peng [ctb]
Maintainer: Christian Fong <christianfong@stanford.edu>
Date/Publication: 2018-03-10 16:12:09 UTC

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Package base64url updated to version 1.3 with previous version 1.2 dated 2017-06-14

Title: Fast and URL-Safe Base64 Encoder and Decoder
Description: In contrast to RFC3548, the 62nd character ("+") is replaced with "-", the 63rd character ("/") is replaced with "_". Furthermore, the encoder does not fill the string with trailing "=". The resulting encoded strings comply to the regular expression pattern "[A-Za-z0-9_-]" and thus are safe to use in URLs or for file names. The package also comes with a simple base32 encoder/decoder suited for case insensitive file systems.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Apache Foundation [ctb, cph], Free Software Foundation [ctb, cph]
Maintainer: Michel Lang <michellang@gmail.com>

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Package pool updated to version 0.1.4 with previous version 0.1.2 dated 2017-11-03

Title: Object Pooling
Description: Enables the creation of object pools, which make it less computationally expensive to fetch a new object. Currently the only supported pooled objects are 'DBI' connections.
Author: Barbara Borges [aut, cre], RStudio [cph]
Maintainer: Barbara Borges <barbara@rstudio.com>

Diff between pool versions 0.1.2 dated 2017-11-03 and 0.1.4 dated 2018-03-10

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Package lingtypology updated to version 1.0.12 with previous version 1.0.11 dated 2018-01-14

Title: Linguistic Typology and Mapping
Description: Provides R with the Glottolog database <http://glottolog.org> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <http://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://ropensci.github.io/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and others.
Author: George Moroz
Maintainer: George Moroz <agricolamz@gmail.com>

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Package NlinTS (with last version 1.0) was removed from CRAN

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

2018-02-23 1.0

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Package BMN (with last version 1.02) was removed from CRAN

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

2010-04-25 1.02
2009-09-28 1.01
2009-03-26 1.0

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Package ELMSurv (with last version 0.4) was removed from CRAN

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

2017-09-03 0.4

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