Fri, 27 Jan 2017

New package hurricaneexposure with initial version 0.0.1
Package: hurricaneexposure
Type: Package
Title: Explore and Map County-Level Hurricane Exposure in the United States
Version: 0.0.1
Date: 2017-01-27
Authors@R: c(person("Brooke", "Anderson", email = "brooke.anderson@colostate.edu", role = c("aut", "cre")), person("Meilin", "Yan", email = "meilin.yan@colostate.edu", role = "aut"), person("Joshua", "Ferreri", email = "joshua.m.ferreri@gmail.com", role = "aut"), person("William", "Crosson", email = "bill.crosson@nasa.gov", role = "ctb"), person("Mohammad", "Al-Hamdan", email = "mohammad.alhamdan@nasa.gov", role = "ctb"), person("Andrea", "Schumacher", email = "andrea.schumacher@colostate.edu", role = "ctb"), person("Dirk", "Eddelbuettel", email = "edd@debian.org", role = "ctb") )
Description: Allows users to create time series of tropical storm exposure histories for chosen counties for a number of hazard metrics (wind, rain, distance from the storm, etc.). This package interacts with data available through the 'hurricaneexposuredata' package, which is available in a 'drat' repository. To access this data package, run 'install.packages("hurricaneexposuredata", repos = "https://geanders.github.io/drat/", type = "source")'. The size of the 'hurricaneexposuredata' package is approximately 25 MB. This work was supported in part by grants from the National Institute of Environmental Health Sciences (R00ES022631), the National Science Foundation (1331399), and a NASA Applied Sciences Program/Public Health Program Grant (NNX09AV81G).
URL: https://github.com/geanders/hurricaneexposure
BugReports: https://github.com/geanders/hurricaneexposure/issues
License: GPL-2
LazyData: TRUE
Imports: data.table (>= 1.9.6), dplyr (>= 0.4.3), ggmap (>= 2.6.1), ggplot2 (>= 2.1.0), lazyeval (>= 0.1.10), lubridate (>= 1.5.6), maps (>= 3.1.1), purrr (>= 0.2.2), RColorBrewer (>= 1.1.2), splines, stats, stringr (>= 1.1.0), tidyr (>= 0.6.0)
RoxygenNote: 5.0.1
Depends: R (>= 2.10)
Suggests: hurricaneexposuredata (>= 0.0.1), knitr, pander, rmarkdown, weathermetrics
VignetteBuilder: knitr
Additional_repositories: https://geanders.github.io/drat
NeedsCompilation: no
Packaged: 2017-01-27 19:21:31 UTC; _gbanders
Author: Brooke Anderson [aut, cre], Meilin Yan [aut], Joshua Ferreri [aut], William Crosson [ctb], Mohammad Al-Hamdan [ctb], Andrea Schumacher [ctb], Dirk Eddelbuettel [ctb]
Maintainer: Brooke Anderson <brooke.anderson@colostate.edu>
Repository: CRAN
Date/Publication: 2017-01-28 01:32:04

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Package geojsonio updated to version 0.3.0 with previous version 0.2.0 dated 2016-07-13

Title: Convert Data from and to 'GeoJSON' or 'TopoJSON'
Description: Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. geojsonio does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.
Author: Scott Chamberlain [aut, cre], Andy Teucher [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package blscrapeR updated to version 2.1.1 with previous version 2.0.0 dated 2016-12-17

Title: An API Wrapper for the Bureau of Labor Statistics (BLS)
Description: Scrapes various data from the Bureau of Labor Statistics, which is the statistical branch of the United States Department of Labor. The package has additional functions to help parse, analyze and visualize the data.
Author: Kris Eberwein [aut, cre]
Maintainer: Kris Eberwein <eberwein@knights.ucf.edu>

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New package zeallot with initial version 0.0.2
Package: zeallot
Type: Package
Title: Multiple and Unpacking Variable Assignment
Version: 0.0.2
Authors@R: c( person(given = 'Nathan', family = 'Teetor', email = 'nathanteetor@gmail.com', role = c('aut', 'cre')), person(given = 'Paul', family = 'Teetor', role = 'ctb'))
Description: Provides a %<-% operator to perform multiple or unpacking assignment in R. The operator unpacks a list of values and assigns these values to a single or multiple corresponding names.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
VignetteBuilder: knitr
Suggests: testthat, knitr, rmarkdown, purrr
NeedsCompilation: no
Packaged: 2017-01-27 16:32:38 UTC; nathanteetor
Author: Nathan Teetor [aut, cre], Paul Teetor [ctb]
Maintainer: Nathan Teetor <nathanteetor@gmail.com>
Repository: CRAN
Date/Publication: 2017-01-27 18:47:52

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Package tidyverse updated to version 1.1.1 with previous version 1.1.0 dated 2017-01-20

Title: Easily Install and Load 'Tidyverse' Packages
Description: The 'tidyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'tidyverse' packages in a single step. Learn more about the 'tidyverse' at <https://github.com/hadley/tidyverse>.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package simputation updated to version 0.2.1 with previous version 0.2.0 dated 2016-12-30

Title: Simple Imputation
Description: Easy to use interfaces to a number of imputation methods that fit in the not-a-pipe operator of the 'magrittr' package.
Author: Mark van der Loo [aut, cre]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package RobustGaSP updated to version 0.5.3 with previous version 0.5.2 dated 2016-09-16

Title: Robust Gaussian Stochastic Process Emulation
Description: Robust parameter estimation and prediction of Gaussian stochastic process emulators. Important functions : rgasp(), predict.rgasp().
Author: Mengyang Gu [aut, cre], Jesus Palomo [aut], James Berger [aut]
Maintainer: Mengyang Gu <mgu6@jhu.edu>

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Package quanteda updated to version 0.9.9-17 with previous version 0.9.9-3 dated 2017-01-10

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible toolset for for the management, processing, and quantitative analysis of textual data in R.
Author: Kenneth Benoit [aut, cre], Paul Nulty [ctb], Kohei Watanabe [ctb], Adam Obeng [ctb], Haiyan Wang [ctb], Benjamin Lauderdale [ctb], Will Lowe [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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New package liteq with initial version 1.0.0
Package: liteq
Title: Lightweight Portable Message Queue Using 'SQLite'
Version: 1.0.0
Author: Gábor Csárdi
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Description: Temporary and permanent message queues for R. Built on top of 'SQLite' databases. 'SQLite' provides locking, and makes it possible to detect crashed consumers. Crashed jobs can be automatically marked as "failed", or put in the queue again, potentially a limited number of times.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/gaborcsardi/liteq#readme
BugReports: https://github.com/gaborcsardi/liteq/issues
RoxygenNote: 5.0.1.9000
Imports: assertthat, DBI, rappdirs, RSQLite
Suggests: covr, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-01-27 16:02:20 UTC; gaborcsardi
Repository: CRAN
Date/Publication: 2017-01-27 18:47:40

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Package lava updated to version 1.4.7 with previous version 1.4.6 dated 2016-12-20

Title: Latent Variable Models
Description: Estimation and simulation of latent variable models.
Author: Klaus K. Holst [aut, cre], Brice Ozenne [ctb], Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <kkho@biostat.ku.dk>

Diff between lava versions 1.4.6 dated 2016-12-20 and 1.4.7 dated 2017-01-27

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New package iJRF with initial version 1.1-4
Package: iJRF
Version: 1.1-4
Date: 2016-11-1
Title: Integrative Joint Random Forest
Authors@R: c(person("Francesca", "Petralia", role = c("aut", "cre"), email = "francesca.petralia@mssm.edu"), person("Pei", "Wang", role = "aut"), person("Zhidong", "Tu", role = "aut"), person("Won-min", "Song", role = "aut"), person("Adele", "Cutler", role = "ctb"), person("Leo", "Breiman", role = "ctb"), person("Andy", "Liaw", role = "ctb"), person("Matthew", "Wiener", role = "ctb"))
Depends: R (>= 3.0.0)
Suggests: MASS
Imports: ggplot2, stats
Description: Integrative framework for the simultaneous estimation of interactions from different class of data.
License: GPL (>= 2)
URL: https://www.r-project.org
Packaged: 2017-01-27 15:02:48 UTC; francescapetralia
NeedsCompilation: yes
Author: Francesca Petralia [aut, cre], Pei Wang [aut], Zhidong Tu [aut], Won-min Song [aut], Adele Cutler [ctb], Leo Breiman [ctb], Andy Liaw [ctb], Matthew Wiener [ctb]
Maintainer: Francesca Petralia <francesca.petralia@mssm.edu>
Repository: CRAN
Date/Publication: 2017-01-27 18:47:34

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Package EffectTreat updated to version 0.3 with previous version 0.2 dated 2015-07-07

Title: Prediction of Therapeutic Success
Description: In personalized medicine, one wants to know, for a given patient and his or her outcome for a predictor (pre-treatment variable), how likely it is that a treatment will be more beneficial than an alternative treatment. This package allows for the quantification of the predictive causal association (i.e., the association between the predictor variable and the individual causal effect of the treatment) and related metrics. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author: Wim Van der Elst, Ariel Alonso & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>

Diff between EffectTreat versions 0.2 dated 2015-07-07 and 0.3 dated 2017-01-27

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Package brms updated to version 1.4.0 with previous version 1.3.1 dated 2016-12-21

Title: Bayesian Regression Models using Stan
Description: Fit Bayesian generalized (non-)linear multilevel models using Stan for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit -- among others -- linear, robust linear, binomial, Poisson, survival, response times, ordinal, zero-inflated, hurdle, and even non-linear models all in a multilevel context. Further modeling options include auto-correlation and smoothing terms, user defined dependence structures, censored data, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their beliefs. In addition, model fit can easily be assessed and compared with posterior predictive checks and leave-one-out cross-validation.
Author: Paul-Christian Bürkner [aut, cre]
Maintainer: Paul-Christian Bürkner <paul.buerkner@gmail.com>

Diff between brms versions 1.3.1 dated 2016-12-21 and 1.4.0 dated 2017-01-27

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Package nycflights13 updated to version 0.2.2 with previous version 0.2.1 dated 2016-12-29

Title: Flights that Departed NYC in 2013
Description: Airline on-time data for all flights departing NYC in 2013. Also includes useful 'metadata' on airlines, airports, weather, and planes.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between nycflights13 versions 0.2.1 dated 2016-12-29 and 0.2.2 dated 2017-01-27

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Package elevatr updated to version 0.1.1 with previous version 0.1.0 dated 2017-01-26

Title: Access Elevation Data from Various APIs
Description: Several web services are available that provide access to elevation data. This package provides access to several of those services and returns elevation data either as a SpatialPointsDataFrame from point elevation services or as a raster object from raster elevation services. Currently, the package supports access to the Mapzen Elevation Service <https://mapzen.com/documentation/elevation/elevation-service/>, Mapzen Terrain Service <https://mapzen.com/documentation/terrain-tiles/>, Amazon Web Services Terrain Tiles <https://aws.amazon.com/public-datasets/terrain/> and the USGS Elevation Point Query Service <http://ned.usgs.gov/epqs/>.
Author: Jeffrey Hollister [aut, cre], Tarak Shah [ctb]
Maintainer: Jeffrey Hollister <hollister.jeff@epa.gov>

Diff between elevatr versions 0.1.0 dated 2017-01-26 and 0.1.1 dated 2017-01-27

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Package clisymbols updated to version 1.1.0 with previous version 1.0.0 dated 2015-06-08

Title: Unicode Symbols at the R Prompt
Description: A small subset of Unicode symbols, that are useful when building command line applications. They fall back to alternatives on terminals that do not support Unicode. Many symbols were taken from the 'figures' 'npm' package (see <https://github.com/sindresorhus/figures>).
Author: Gábor Csárdi [aut, cre], Sindre Sorhus [aut]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between clisymbols versions 1.0.0 dated 2015-06-08 and 1.1.0 dated 2017-01-27

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Package ziphsmm updated to version 1.0.2 with previous version 1.0.1 dated 2017-01-15

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

Diff between ziphsmm versions 1.0.1 dated 2017-01-15 and 1.0.2 dated 2017-01-27

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New package statoo with initial version 0.1.3
Package: statoo
Type: Package
Title: Miscellaneous Basic Statistical Functions
Version: 0.1.3
Date: 2017-01-22
Authors@R: c(person("Paul", "Poncet", , "paulponcet@yahoo.fr", role = c("aut", "cre")), person("The R Core Team", role = c("aut", "cph"), comment = "C function 'BinDist' copied from package 'stats'"), person("The R Foundation", role = "cph", comment = "C function 'BinDist' copied from package 'stats'"), person("Adrian", "Baddeley", role = "ctb", comment = "C function 'BinDist' copied from package 'stats'"))
Description: A collection of miscellaneous statistical functions for probability distributions: 'dbern', 'pbern', 'qbern', 'rbern' for the Bernoulli distribution, and 'distr2name', 'name2distr' for distribution names; probability density estimation ('densityfun'); most frequent value estimation ('mfv', 'mfv1'); calculation of the Hellinger distance ('hellinger'); use of classical kernels ('kernelfun', 'kernel_properties').
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.1.3)
Imports: bazar, dplyr, graphics, stats
Suggests: knitr, testthat
URL: https://github.com/paulponcet/statoo
BugReports: https://github.com/paulponcet/statoo/issues
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-01-23 17:28:48 UTC; YL1101
Author: Paul Poncet [aut, cre], The R Core Team [aut, cph] (C function 'BinDist' copied from package 'stats'), The R Foundation [cph] (C function 'BinDist' copied from package 'stats'), Adrian Baddeley [ctb] (C function 'BinDist' copied from package 'stats')
Maintainer: Paul Poncet <paulponcet@yahoo.fr>
Repository: CRAN
Date/Publication: 2017-01-27 10:18:48

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New package sparsestep with initial version 1.0.0
Package: sparsestep
Version: 1.0.0
Date: 2017-01-26
Title: SparseStep Regression
Authors@R: c(person("Gertjan", "van den Burg", role=c("aut", "cre"), email="gertjanvandenburg@gmail.com"), person("Patrick", "Groenen", email="groenen@ese.eur.nl", role="ctb"), person("Andreas", "Alfons", email="alfons@ese.eur.nl", role="ctb"))
Description: Implements the SparseStep model for solving regression problems with a sparsity constraint on the parameters. The SparseStep regression model was proposed in Van den Burg, Groenen, and Alfons (2017) <https://arxiv.org/abs/1701.06967>. In the model, a regularization term is added to the regression problem which approximates the counting norm of the parameters. By iteratively improving the approximation a sparse solution to the regression problem can be obtained. In this package both the standard SparseStep algorithm is implemented as well as a path algorithm which uses golden section search to determine solutions with different values for the regularization parameter.
License: GPL (>= 2)
Imports: graphics
Depends: R (>= 3.0.0), Matrix (>= 1.0-6)
Classification/MSC: 62J05, 62J07
URL: https://github.com/GjjvdBurg/SparseStep, https://arxiv.org/abs/1701.06967
BugReports: https://github.com/GjjvdBurg/SparseStep
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-01-26 12:15:06 UTC; gertjan
Author: Gertjan van den Burg [aut, cre], Patrick Groenen [ctb], Andreas Alfons [ctb]
Maintainer: Gertjan van den Burg <gertjanvandenburg@gmail.com>
Repository: CRAN
Date/Publication: 2017-01-27 10:18:45

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Package smooth updated to version 1.6.0 with previous version 1.5.2 dated 2016-12-18

Title: Forecasting Using Smoothing Functions
Description: The set of smoothing functions used for time series analysis and in forecasting. Currently the package includes exponential smoothing models and SARIMA in state-space form + several simulation functions.
Author: Ivan Svetunkov [aut, cre] (Research Associate at Lancaster Centre for Forecasting, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

Diff between smooth versions 1.5.2 dated 2016-12-18 and 1.6.0 dated 2017-01-27

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 39 files changed, 1837 insertions(+), 1119 deletions(-)

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Package rscorecard updated to version 0.3.5 with previous version 0.3.1 dated 2017-01-14

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <b.skinner@vanderbilt.edu>

Diff between rscorecard versions 0.3.1 dated 2017-01-14 and 0.3.5 dated 2017-01-27

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Package RPtests updated to version 0.1.3 with previous version 0.1.2 dated 2016-11-07

Title: Goodness of Fit Tests for High-Dimensional Linear Regression Models
Description: Performs goodness of fits tests for both high and low-dimensional linear models. It can test for a variety of model misspecifications including nonlinearity and heteroscedasticity. In addition one can test the significance of potentially large groups of variables, and also produce p-values for the significance of individual variables in high-dimensional linear regression.
Author: Rajen Shah [aut, cre], Peter Buhlmann [aut]
Maintainer: Rajen Shah <r.shah@statslab.cam.ac.uk>

Diff between RPtests versions 0.1.2 dated 2016-11-07 and 0.1.3 dated 2017-01-27

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New package prettycode with initial version 1.0.0
Package: prettycode
Title: Pretty Print R Code in the Terminal
Version: 1.0.0
Author: Gábor Csárdi
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Description: Replace the standard print method for functions with one that performs syntax highlighting, using ANSI colors, if the terminal supports them.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/gaborcsardi/prettycode#readme
BugReports: https://github.com/gaborcsardi/prettycode/issues
RoxygenNote: 5.0.1.9000
Imports: crayon, utils, withr
Suggests: covr, mockery, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-01-26 11:01:20 UTC; gaborcsardi
Repository: CRAN
Date/Publication: 2017-01-27 10:18:41

More information about prettycode at CRAN
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Package powerMediation updated to version 0.2.6 with previous version 0.2.4 dated 2015-05-08

Title: Power/Sample Size Calculation for Mediation Analysis
Description: Functions to calculate power and sample size for testing (1) mediation effects; (2) the slope in a simple linear regression; (3) odds ratio in a simple logistic regression; (4) mean change for longitudinal study with 2 time points; (5) interaction effect in 2-way ANOVA; and (6) the slope in a simple Poisson regression.
Author: Weiliang Qiu <stwxq@channing.harvard.edu>
Maintainer: Weiliang Qiu <stwxq@channing.harvard.edu>

Diff between powerMediation versions 0.2.4 dated 2015-05-08 and 0.2.6 dated 2017-01-27

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Package penalized updated to version 0.9-49 with previous version 0.9-47 dated 2016-05-27

Title: L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation in GLMs and in the Cox Model
Description: Fitting possibly high dimensional penalized regression models. The penalty structure can be any combination of an L1 penalty (lasso and fused lasso), an L2 penalty (ridge) and a positivity constraint on the regression coefficients. The supported regression models are linear, logistic and Poisson regression and the Cox Proportional Hazards model. Cross-validation routines allow optimization of the tuning parameters.
Author: Jelle Goeman, Rosa Meijer, Nimisha Chaturvedi, Matthew Lueder
Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>

Diff between penalized versions 0.9-47 dated 2016-05-27 and 0.9-49 dated 2017-01-27

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Package mixpack updated to version 0.3.6 with previous version 0.3.4 dated 2015-12-08

Title: Tools to Work with Mixture Components
Description: A collection of tools implemented to facilitate the analysis of the components of a finite mixture distributions. The package has some functions to generate random samples coming from a finite mixture. The package provides a C++ implementation for the construction of a hierarchy over the components of a given finite mixture.
Author: Marc Comas-Cufí [aut, cre], Josep Antoni Martín-Fernández [aut], Glòria Mateu-Figueras [aut]
Maintainer: Marc Comas-Cufí <mcomas@imae.udg.edu>

Diff between mixpack versions 0.3.4 dated 2015-12-08 and 0.3.6 dated 2017-01-27

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Package MBESS updated to version 4.2.0 with previous version 4.1.0 dated 2016-09-23

Title: The MBESS R Package
Description: Implements methods that useful in designing research studies and analyzing data, with particular emphasis on methods that are developed for or used within the behavioral, educational, and social sciences (broadly defined). That being said, many of the methods implemented within MBESS are applicable to a wide variety of disciplines. MBESS has a suite of functions for a variety of related topics, such as effect sizes, confidence intervals for effect sizes (including standardized effect sizes and noncentral effect sizes), sample size planning (from the accuracy in parameter estimation [AIPE], power analytic, equivalence, and minimum-risk point estimation perspectives), mediation analysis, various properties of distributions, and a variety of utility functions. MBESS (pronounced 'em-bes') was originally an acronym for 'Methods for the Behavioral, Educational, and Social Sciences,' but at this point MBESS contains methods applicable and used in a wide variety of fields and is an orphan acronym, in the sense that what was an acronym is now literally its name. MBESS has greatly benefited from others, see <http://nd.edu/~kkelley/site/MBESS.html> for a detailed list of those that have contributed and other details.
Author: Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>

Diff between MBESS versions 4.1.0 dated 2016-09-23 and 4.2.0 dated 2017-01-27

 DESCRIPTION   |   10 +++++-----
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Package manipulateWidget updated to version 0.5.1 with previous version 0.5.0 dated 2017-01-19

Title: Add Even More Interactivity to Interactive Charts
Description: Like package 'manipulate' does for static graphics, this package helps to easily add controls like sliders, pickers, checkboxes, etc. that can be used to modify the input data or the parameters of an interactive chart created with package 'htmlwidgets'.
Author: Francois Guillem [aut, cre], RTE [cph], JJ Allaire [ctb]
Maintainer: Francois Guillem <francois.guillem@rte-france.com>

Diff between manipulateWidget versions 0.5.0 dated 2017-01-19 and 0.5.1 dated 2017-01-27

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New package LumReader with initial version 0.1.0
Package: LumReader
Type: Package
Title: TL/OSL Reader Simulator
Version: 0.1.0
Date: 2017-01-25
Authors@R: c( person("David", "Strebler", role= c("aut","cre"), email= "david.strebler@uni-koeln.de"), person("Dominik", "Brill", role = c("ths")), person("Helmut", "Brückner", role=c("ths")) )
Maintainer: David Strebler <david.strebler@uni-koeln.de>
Description: A series of functions to estimate the detection windows of a luminescence reader based on the filters and the photomultiplier (PMT) selected. These functions also allow to simulate a luminescence experiment based on the thermoluminesce (TL) or the optically stimulated luminescence (OSL) properties of a material.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.3.2)
Imports: tools, methods, lattice, gridExtra, plotly, shiny
Collate: 'Filter-class.R' 'create_Filter.R' 'import_Filter.R' 'export_Filter.R' 'plot_Filter.R' 'combine_Filters.R' 'FilterStack-class.R' 'create_FilterStack.R' 'add_Filter.R' 'remove_Filter.R' 'plot_FilterStack.R' 'default_Filters.R' 'PMT-class.R' 'create_PMT.R' 'import_PMT.R' 'export_PMT.R' 'default_PMT.R' 'plot_PMT.R' 'Stimulation-class.R' 'create_Stimulation.R' 'import_Stimulation.R' 'export_Stimulation.R' 'default_Stimulation.R' 'plot_Stimulation.R' 'Reader-class.R' 'create_Reader.R' 'plot_Reader.R' 'Material-class.R' 'create_Material.R' 'import_Material.R' 'export_Material.R' 'default_Material.R' 'plot_Material.R' 'Experiment-class.R' 'create_Experiment.R' 'plot_Experiment.R' 'LumReader-package.R' 'call_ShinyLumReader.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-01-26 13:46:25 UTC; admin
Author: David Strebler [aut, cre], Dominik Brill [ths], Helmut Brückner [ths]
Repository: CRAN
Date/Publication: 2017-01-27 10:17:39

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Package landsat8 updated to version 0.1-10 with previous version 0.1-9 dated 2015-07-26

Title: Landsat 8 Imagery Rescaled to Reflectance, Radiance and/or Temperature
Description: Functions for converted Landsat 8 multispectral satellite imagery rescaled to the top of atmosphere (TOA) reflectance, radiance and/or at satellite brightness temperature using radiometric rescaling coefficients provided in the metadata file (MTL file).
Author: Alexandre dos Santos
Maintainer: Alexandre dos Santos <alexandre.santos@cas.ifmt.edu.br>

Diff between landsat8 versions 0.1-9 dated 2015-07-26 and 0.1-10 dated 2017-01-27

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New package ionicons with initial version 0.1.1
Package: ionicons
Type: Package
Title: 'Ionicons' Icon Pack
Authors@R: c( person("David", "Gohel", role = c("aut", "cre"), email = "david.gohel@ardata.fr"), person("Drifty", role = "cph") )
Version: 0.1.1
Description: Provides icons from the 'Ionicons' icon pack (<http://ionicons.com/>). Functions are provided to get icons as png files or as raw matrices. This is useful when you want to embed raster icons in a report or a graphic.
License: GPL-3
Copyright: See file COPYRIGHTS.
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1.9000
Imports: rsvg, xml2 (>= 1.1.0), png
NeedsCompilation: no
Packaged: 2017-01-26 16:42:03 UTC; davidgohel
Author: David Gohel [aut, cre], Drifty [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>
Repository: CRAN
Date/Publication: 2017-01-27 10:18:25

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New package HoRM with initial version 0.1.0
Package: HoRM
Type: Package
Title: Supplemental Functions and Datasets for "Handbook of Regression Methods"
Version: 0.1.0
Date: 2017-01-27
Authors@R: c(person("Derek S.", "Young", role = c("aut", "cre"), email = "derek.young@uky.edu"))
Depends: R (>= 3.2.0)
Imports: ggplot2, MASS, orthopolynom, quantmod, stats4
Description: Various wrapper functions and datasets to supplement examples for the book "Handbook of Regression Methods" by D. S. Young.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-01-27 04:12:47 UTC; derekyoung
Author: Derek S. Young [aut, cre]
Maintainer: Derek S. Young <derek.young@uky.edu>
Repository: CRAN
Date/Publication: 2017-01-27 10:39:54

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Package GSODR updated to version 1.0.1 with previous version 1.0.0 dated 2017-01-19

Title: Global Summary Daily Weather Data in R
Description: Provides automated downloading, parsing, cleaning, unit conversion and formatting of Global Surface Summary of the Day (GSOD) weather data from the from the USA National Climatic Data Center (NCDC) for use in R. All units are converted from from United States Customary System (USCS) units to International System of Units (SI). Stations may be individually checked for number of missing days defined by the user, where stations with too many missing observations are omitted. Only stations with valid reported latitude and longitude values are permitted in the final data. Additional useful variables, saturation vapour pressure (es), actual vapour pressure (ea) and relative humidity are calculated from the original data and included in the final data set. The resulting data include station identification information, state, country, latitude, longitude, elevation, weather observations and associated flags. Data may be automatically saved to disk. File output may be returned as a comma-separated values (CSV) or GeoPackage (GPKG) file. Additional data are included with this R package: a list of elevation values for stations between -60 and 60 degrees latitude derived from the Shuttle Radar Topography Measuring Mission (SRTM). For information on the GSOD data from NCDC, please see the GSOD readme.txt file available from, <http://www1.ncdc.noaa.gov/pub/data/gsod/readme.txt>.
Author: Adam Sparks [aut, cre], Tomislav Hengl [aut], Andrew Nelson [aut]
Maintainer: Adam Sparks <adamhsparks@gmail.com>

Diff between GSODR versions 1.0.0 dated 2017-01-19 and 1.0.1 dated 2017-01-27

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New package fastJT with initial version 1.0
Package: fastJT
Type: Package
Title: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies
Version: 1.0
Date: 2017-01-20
Author: Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar
Maintainer: Jiaxing Lin <jiaxing.lin@duke.edu>
Description: This 'Rcpp'-based package implements highly efficient functions for the calculation of the Jonckheere-Terpstra statistic. It can be used for a variety of applications, including feature selection in machine learning problems, or to conduct genome-wide association studies (GWAS) with multiple quantitative phenotypes. The code leverages 'OpenMP' directives for multi-core computing to reduce overall processing time.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.3)
LinkingTo: Rcpp
Suggests: knitr
VignetteBuilder: knitr
BuildVignettes: yes
NeedsCompilation: yes
Packaged: 2017-01-26 16:34:35 UTC; jl354
Repository: CRAN
Date/Publication: 2017-01-27 10:18:22

More information about fastJT at CRAN
Permanent link

Package extremeStat updated to version 1.3.0 with previous version 0.6.0 dated 2016-12-13

Title: Extreme Value Statistics and Quantile Estimation
Description: Code to fit, plot and compare several (extreme value) distribution functions. Can also compute (truncated) distribution quantile estimates and draw a plot with return periods on a linear scale.
Author: Berry Boessenkool
Maintainer: Berry Boessenkool <berry-b@gmx.de>

Diff between extremeStat versions 0.6.0 dated 2016-12-13 and 1.3.0 dated 2017-01-27

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New package eply with initial version 0.1.0
Package: eply
Type: Package
Title: Apply a Function Over Expressions
Version: 0.1.0
Date: 2017-1-24
Authors@R: c( person(given = c("William", "Michael"), family = "Landau", email = "will.landau@lilly.com", role = c("aut", "cre")), person(family = "Eli Lilly and Company", role = "cph"))
Description: Evaluate a function over a data frame of expressions.
License: GPL-3
Depends: R (>= 3.0.0)
Imports: magrittr, methods
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/wlandau-lilly/eply
BugReports: https://github.com/wlandau-lilly/eply/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-01-26 16:44:06 UTC; c240390
Author: William Michael Landau [aut, cre], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@lilly.com>
Repository: CRAN
Date/Publication: 2017-01-27 10:18:10

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Package EpiContactTrace updated to version 0.10.0 with previous version 0.9.1 dated 2015-07-03

Title: Epidemiological Tool for Contact Tracing
Description: Routines for epidemiological contact tracing and visualisation of network of contacts.
Author: Maria Noremark [aut], Stefan Widgren [aut, cre]
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

Diff between EpiContactTrace versions 0.9.1 dated 2015-07-03 and 0.10.0 dated 2017-01-27

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Package dnet updated to version 1.0.10 with previous version 1.0.9 dated 2016-05-31

Title: Integrative Analysis of Omics Data in Terms of Network, Evolution and Ontology
Description: The focus of the dnet is to make sense of omics data (such as gene expression and mutations) from different angles including: integration with molecular networks, enrichments using ontologies, and relevance to gene evolutionary ages. Integration is achieved to identify a gene subnetwork from the whole gene network whose nodes/genes are labelled with informative data (such as the significant levels of differential expression or survival risks). To help make sense of identified gene networks, enrichment analysis is also supported using a wide variety of pre-compiled ontologies and phylostratific gene age information in major organisms including: human, mouse, rat, chicken, C.elegans, fruit fly, zebrafish and arabidopsis. Add-on functionalities are supports for calculating semantic similarity between ontology terms (and between genes) and for calculating network affinity based on random walk; both can be done via high-performance parallel computing.
Author: Hai Fang and Julian Gough
Maintainer: Hai Fang <hfang@well.ox.ac.uk>

Diff between dnet versions 1.0.9 dated 2016-05-31 and 1.0.10 dated 2017-01-27

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Package digest updated to version 0.6.12 with previous version 0.6.11 dated 2017-01-03

Title: Create Compact Hash Digests of R Objects
Description: Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash' and 'murmurhash' algorithms) permitting easy comparison of R language objects, as well as a function 'hmac()' to create hash-based message authentication code. Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as 'OpenSSL' should be used.
Author: Dirk Eddelbuettel <edd@debian.org> with contributions by Antoine Lucas, Jarek Tuszynski, Henrik Bengtsson, Simon Urbanek, Mario Frasca, Bryan Lewis, Murray Stokely, Hannes Muehleisen, Duncan Murdoch, Jim Hester, Wush Wu, Qiang Kou, Thierry Onkelinx, Michel Lang and Viliam Simko.
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between digest versions 0.6.11 dated 2017-01-03 and 0.6.12 dated 2017-01-27

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 DESCRIPTION        |    8 +-
 MD5                |   14 ++--
 NAMESPACE          |    2 
 R/sha1.R           |  164 ++++++++++++++++++++++++++++++++++++++++-------------
 inst/doc/sha1.html |    4 -
 man/sha1.rd        |   49 ++++++++++-----
 tests/sha1Test.R   |   11 ++-
 8 files changed, 202 insertions(+), 71 deletions(-)

More information about digest at CRAN
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Package desc updated to version 1.1.0 with previous version 1.0.1 dated 2016-09-22

Title: Manipulate DESCRIPTION Files
Description: Tools to read, write, create, and manipulate DESCRIPTION files. It is intended for packages that create or manipulate other packages.
Author: Gábor Csárdi [aut, cre], Kirill Müller [aut]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between desc versions 1.0.1 dated 2016-09-22 and 1.1.0 dated 2017-01-27

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Package cooccurNet updated to version 0.1.6 with previous version 0.1.5 dated 2017-01-11

Title: Co-Occurrence Network
Description: Read and preprocess fasta format data, and construct the co-occurrence network for downstream analyses. This R package is to construct the co-occurrence network with the algorithm developed by Du (2008) <DOI:10.1101/gr.6969007>. It could be used to transform the data with high-dimension, such as DNA or protein sequence, into co-occurrence networks. Co-occurrence network could not only capture the co-variation pattern between variables, such as the positions in DNA or protein sequences, but also reflect the relationship between samples. Although it is originally used in DNA and protein sequences, it could be also used to other kinds of data, such as RNA, SNP, etc.
Author: Yuanqiang Zou <jerrytsou2001@gmail.com>, Yousong Peng <pys2013@hnu.edu.cn> and Taijiao Jiang <taijiao@moon.ibp.ac.cn>
Maintainer: Yuanqiang Zou <jerrytsou2001@gmail.com>

Diff between cooccurNet versions 0.1.5 dated 2017-01-11 and 0.1.6 dated 2017-01-27

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Package Boruta updated to version 5.2.0 with previous version 5.1.0 dated 2016-08-16

Title: Wrapper Algorithm for All Relevant Feature Selection
Description: An all relevant feature selection wrapper algorithm. It finds relevant features by comparing original attributes' importance with importance achievable at random, estimated using their permuted copies.
Author: Miron Bartosz Kursa [aut, cre], Witold Remigiusz Rudnicki [aut]
Maintainer: Miron Bartosz Kursa <M.Kursa@icm.edu.pl>

Diff between Boruta versions 5.1.0 dated 2016-08-16 and 5.2.0 dated 2017-01-27

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Package bayesQR updated to version 2.3 with previous version 2.2 dated 2014-04-17

Title: Bayesian Quantile Regression
Description: Bayesian quantile regression using the asymmetric Laplace distribution, both continuous as well as binary dependent variables are supported. The package consists of implementations of the methods of Yu & Moyeed (2001) <doi:10.1016/S0167-7152(01)00124-9>, Benoit & Van den Poel (2012) <doi:10.1002/jae.1216> and Al-Hamzawi, Yu & Benoit (2012) <doi:10.1177/1471082X1101200304>. To speed up the calculations, the Markov Chain Monte Carlo core of all algorithms is programmed in Fortran and called from R.
Author: Dries F. Benoit, Rahim Al-Hamzawi, Keming Yu, Dirk Van den Poel
Maintainer: Dries F. Benoit <Dries.Benoit@UGent.be>

Diff between bayesQR versions 2.2 dated 2014-04-17 and 2.3 dated 2017-01-27

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Package assertable updated to version 0.2.0 with previous version 0.1.0 dated 2017-01-14

Title: Verbose Assertions for Tabular Data (Data.frames and Data.tables)
Description: Simple, flexible, assertions on data.frame or data.table objects with verbose output for vetting. While other assertion packages apply towards more general use-cases, assertable is tailored towards tabular data. It includes functions to check variable names and values, whether the dataset contains all combinations of a given set of unique identifiers, and whether it is a certain length. In addition, assertable includes utility functions to check the existence of target files and to efficiently import multiple tabular data files into one data.table.
Author: Grant Nguyen
Maintainer: Grant Nguyen <gngu@uw.edu>

Diff between assertable versions 0.1.0 dated 2017-01-14 and 0.2.0 dated 2017-01-27

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More information about assertable at CRAN
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