Sat, 23 Sep 2017

New package SensMap with initial version 0.1
Package: SensMap
Type: Package
Title: Sensory and Consumer Data Mapping
Version: 0.1
Date: 2017-09-13
Author: Ibtihel Rebhi [aut, cre], Rihab Boubakri [ctb], Dhafer Malouche [ctb]
Maintainer: Ibtihel Rebhi <ibtihel.rebhi@enit.utm.tn>
Description: Obtain external preference map to explain consumer preferences in function of sensory attributes of products (K.Greenhoff et al. (1994) <doi:10.1007/978-1-4615-2171-6_6>) with options in dimension reduction methods and prediction models from linear and non linear regressions. A smoothed version of the map is available and a comparison of maps stability from different features before and after smoothing is provided which may help industrials to make good decisions about characteristics of new product development. A 'shiny' application is included. It presents an easy GUI for the implemented functions as well as a comparative tool of fit models performance using several criteria. Basic analysis such as characterization of products, panelists and sessions likewise consumers segmentation are available.
Depends: R (>= 3.0.0), stats, grDevices, graphics
Imports: ggfortify, doBy, lattice, FactoMineR, MCMCpack, factoextra, fields, ggdendro, glmulti, mgcv, plotly, shiny, ggplot2
License: GPL (>= 2)
LazyData: TRUE
Suggests: testthat
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-09-22 22:16:27 UTC; Admin
Repository: CRAN
Date/Publication: 2017-09-23 13:42:03 UTC

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New package pool with initial version 0.1.1
Package: pool
Type: Package
Title: Object Pooling
Version: 0.1.1
Authors@R: c( person("Barbara", "Borges", email = "barbara@rstudio.com", role = c("aut", "cre")), person(family = "RStudio", role = "cph") )
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.
License: GPL-3
Depends: R (>= 3.0.0), methods
Imports: DBI, R6, dplyr, dbplyr, later
Suggests: testthat, tibble, RSQLite
URL: https://github.com/rstudio/pool
BugReports: https://github.com/rstudio/pool/issues
LazyData: TRUE
Collate: 'utils.R' 'scheduler.R' 'pool.R' 'pool-methods.R' 'object.R' 'DBI.R' 'DBI-connection-interpolate.R' 'DBI-connection-quote.R' 'DBI-connection-sql.R' 'DBI-connection-transaction.R' 'DBI-connection.R' 'DBI-driver.R' 'DBI-object-deprecated.R' 'DBI-object.R' 'DBI-pool.R' 'dbplyr.R'
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 23:25:33 UTC; barbaraborges
Author: Barbara Borges [aut, cre], RStudio [cph]
Maintainer: Barbara Borges <barbara@rstudio.com>
Repository: CRAN
Date/Publication: 2017-09-23 13:57:29 UTC

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New package bomrang with initial version 0.0.7
Package: bomrang
Type: Package
Title: Fetch Australian Government Bureau of Meteorology Data
Version: 0.0.7
Authors@R: c(person("Adam", "Sparks", role = c("aut", "cre"), email = "adamhsparks@gmail.com", comment = "https://orcid.org/0000-0002-0061-8359"), person("Mark", "Padgham", role = "aut", email = "mark.padgham@email.com", comment = "https://orcid.org/0000-0003-2172-5265"), person("Hugh", "Parsonage", role = "aut", email = "hugh.parsonage@gmail.com", comment = "https://orcid.org/0000-0003-4055-0835"), person("Keith", "Pembleton", role = "aut", email = "keith.pembleton@usq.edu.au", comment = "https://orcid.org/0000-0002-1896-4516"), person("Scott", "Chamberlain", role = c("ctb", "cph"), email = "myrmecocystus@gmail.com", comment = "0000-0003-1444-9135"))
Description: Provides functions to interface with Australian Government Bureau of Meteorology (BoM) data, fetching data and returning a tidy data frame of précis forecasts, current weather data from stations, agriculture bulletin data, BoM 0900 or 1500 weather bulletins or a raster stack object of satellite imagery from GeoTIFF files. Data (c) Australian Government Bureau of Meteorology Creative Commons (CC) Attribution 3.0 licence or Public Access Licence (PAL) as appropriate. See <http://www.bom.gov.au/other/copyright.shtml> for further details.
URL: https://github.com/ropensci/bomrang
BugReports: https://github.com/ropensci/bomrang/issues
License: MIT + file LICENSE
Depends: R (>= 3.2.0)
Imports: curl (>= 2.8.1), data.table (>= 1.10.4), dplyr (>= 0.7.0), foreign, httr (>= 1.2.1), janitor, jsonlite (>= 1.5), magrittr (>= 1.5), raster, rgdal, rappdirs (>= 0.3.1), readr (>= 1.1.1), rlang (>= 0.1.1), rvest, tidyr (>= 0.6.3), utils, xml2 (>= 1.1.1)
Encoding: UTF-8
LazyData: true
Suggests: ccafs, covr, testthat, knitr, rmarkdown, ggplot2, ggthemes, grid, gridExtra, maps, mapproj
RoxygenNote: 6.0.1
NeedsCompilation: no
ByteCompile: TRUE
VignetteBuilder: knitr
Packaged: 2017-09-22 23:13:29 UTC; asparks
Author: Adam Sparks [aut, cre] (https://orcid.org/0000-0002-0061-8359), Mark Padgham [aut] (https://orcid.org/0000-0003-2172-5265), Hugh Parsonage [aut] (https://orcid.org/0000-0003-4055-0835), Keith Pembleton [aut] (https://orcid.org/0000-0002-1896-4516), Scott Chamberlain [ctb, cph] (0000-0003-1444-9135)
Maintainer: Adam Sparks <adamhsparks@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-23 13:31:31 UTC

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Fri, 22 Sep 2017

New package USCF with initial version 0.1.3
Package: USCF
Type: Package
Title: Elo Rating of a USCF Member
Version: 0.1.3
Author: Joshua Rubin
Maintainer: Joshua Rubin <jdrubin@middlebury.edu>
Description: Given a U.S. Chess Federation ID number, the elo() function will return the classical Elo rating of that player. The function retrieves the information from the USCF website, making it easier for tournament directors at large tournaments to quickly retrieve the ratings of participants.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 16:53:04 UTC; Anatoly
Repository: CRAN
Date/Publication: 2017-09-22 17:24:20 UTC

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New package OBMbpkg with initial version 1.0.0
Package: OBMbpkg
Type: Package
Title: Estimate the Population Size for the Mb Capture-Recapture Model
Version: 1.0.0
Date: 2017-09-22
Author: Dan Zheng
Maintainer: John Snyder <jcs8v6@mail.missouri.edu>
Description: Applies an objective Bayesian method to the Mb capture-recapture model to estimate the population size N. The Mb model is a class of capture-recapture methods used to account for variations in capture probability due to animal behavior. Under the Mb formulation, the initial capture of an animal may effect the probability of subsequent captures due to their becoming "trap happy" or "trap shy."
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Suggests: stats
NeedsCompilation: no
Packaged: 2017-09-22 15:58:31 UTC; jcs8v_000
Repository: CRAN
Date/Publication: 2017-09-22 16:53:15 UTC

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New package mosaicModel with initial version 0.3.0
Package: mosaicModel
Type: Package
Title: An Interface to Statistical Modeling Independent of Model Architecture
Version: 0.3.0
Author: Kaplan Daniel [aut, cre], Pruim Randall [aut, cre]
Maintainer: Daniel Kaplan <kaplan@macalester.edu>
Description: Provides functions for evaluating, displaying, and interpreting statistical models. The goal is to abstract the operations on models from the particular architecture of the model. For instance, calculating effect sizes rather than looking at coefficients. The package includes interfaces to both regression and classification architectures, including lm(), glm(), rlm() in 'MASS', random forests and recursive partitioning, k-nearest neighbors, linear and quadratic discriminant analysis, and models produced by the 'caret' package's train(). It's straightforward to add in other other model architectures.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
LazyLoad: TRUE
RoxygenNote: 6.0.1
Depends: R (>= 3.1), mosaicCore, splines, dplyr
Imports: caret, ggplot2, ggformula, lazyeval, knitr, MASS, testthat, tibble, tidyr, tidyverse
Suggests: mosaic, mosaicData, randomForest, rpart
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-22 16:14:02 UTC; kaplan
Repository: CRAN
Date/Publication: 2017-09-22 16:21:41 UTC

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New package GPPFourier with initial version 2.1
Package: GPPFourier
Version: 2.1
Title: Calculate Gross Primary Production (GPP) from O2 Time Series
Author: Tom Cox <tom.cox@uantwerp.be>
Maintainer: Tom Cox <tom.cox@uantwerp.be>
Description: Implementation of the Fourier method to estimate aquatic gross primary production from high frequency oxygen data, described in Cox, et al (2015) <doi:10.1002/lom3.10046> and Cox, et al (2017) <doi:10.5194/bg-2017-81>.
License: GPL
LazyData: yes
Imports: Tides, mFilter
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-20 07:15:16 UTC; tom
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2017-09-22 16:17:01 UTC

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New package regexSelect with initial version 1.0.0
Package: regexSelect
Version: 1.0.0
Date: 2017-09-22
Title: Regular Expressions in 'shiny' Select Lists
Authors@R: person("Jonathan", "Sidi", email = "yonicd@gmail.com", role = c("aut", "cre"))
Description: 'shiny' extension that adds regular expression filtering capabilities to the choice vector of the select list.
Depends: R (>= 2.3.0)
Imports: shiny, shinyjs
License: GPL-2 | GPL-3
URL: https://github.com/yonicd/regexSelect
BugReports: https://github.com/yonicd/regexSelect/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 15:00:06 UTC; jonathans
Author: Jonathan Sidi [aut, cre]
Maintainer: Jonathan Sidi <yonicd@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-22 15:45:17 UTC

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New package qrcmNP with initial version 0.1.0
Package: qrcmNP
Type: Package
Title: Nonlinear and Penalized Quantile Regression Coefficients Modeling
Version: 0.1.0
Author: Gianluca Sottile [aut, cre]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>
Description: Nonlinear and Penalized parametric modeling of quantile regression coefficient functions. Frumento P and Bottai M (2016) <doi:10.1111/biom.12410>.
Imports: stats, graphics, grDevices, utils
Depends: survival, qrcm
License: GPL-2
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 15:41:31 UTC; gianlucasottile
Repository: CRAN
Date/Publication: 2017-09-22 15:53:37 UTC

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New package PSW with initial version 1.1-1
Package: PSW
Type: Package
Title: Propensity Score Weighting Methods for Dichotomous Treatments
Description: Provides propensity score weighting methods to control for confounding in causal inference with dichotomous treatments and continuous/binary outcomes. It includes the following functional modules: (1) visualization of the propensity score distribution in both treatment groups with mirror histogram, (2) covariate balance diagnosis, (3) propensity score model specification test, (4) weighted estimation of treatment effect, and (5) doubly robust estimation of treatment effect. The weighting methods include the inverse probability weight (IPW) for estimating the average treatment effect (ATE), the IPW for average treatment effect of the treated (ATT), the IPW for the average treatment effect of the controls (ATC), the matching weight (MW), the overlap weight (OVERLAP), and the trapezoidal weight (TRAPEZOIDAL). Sandwich variance estimation is provided to adjust for the sampling variability of the estimated propensity score. These methods are discussed by Hirano et al (2003) <DOI:10.1111/1468-0262.00442>, Li and Greene (2013) <DOI:10.1515/ijb-2012-0030>, and Li et al (2016) <DOI:10.1080/01621459.2016.1260466>.
Version: 1.1-1
Author: Huzhang Mao <Huzhang.Mao@uth.tmc.edu>, Liang Li <LLi15@mdanderson.org>
Maintainer: Huzhang Mao <Huzhang.Mao@uth.tmc.edu>
License: GPL (>= 2)
Depends: R (>= 3.3)
Imports: stats, Hmisc, gtools, graphics
Encoding: UTF-8
LazyData: true
LazyLoad: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-21 21:40:35 UTC; hmao
Repository: CRAN
Date/Publication: 2017-09-22 13:00:53 UTC

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New package leabRa with initial version 0.1.0
Package: leabRa
Type: Package
Title: The Artificial Neural Networks Algorithm Leabra
Version: 0.1.0
Authors@R: c( person("Johannes", "Titz", email = "johannes.titz@gmail.com", role = c("aut", "cre", "cph")), person("Sergio", "Verduczo-Flores", role = "cph"), person("Randall", "O'Reilly", role = "cph"))
Description: The algorithm Leabra (local error driven and associative biologically realistic algorithm) allows for the construction of artificial neural networks that are biologically realistic and balance supervised and unsupervised learning within a single framework. This package is based on the 'MATLAB' version by Sergio Verduzco-Flores, which in turn was based on the description of the algorithm by Randall O'Reilly (1996) <ftp://grey.colorado.edu/pub/oreilly/thesis/oreilly_thesis.all.pdf>. For more general (not 'R' specific) information on the algorithm Leabra see <https://grey.colorado.edu/emergent/index.php/Leabra>.
Depends: R (>= 2.10)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: plyr (>= 1.8.4), R6 (>= 2.2.1)
Collate: 'data.R' 'misc.R' 'unit.R' 'layer.R' 'network.R' 'leabRa.R'
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/johannes-titz/leabRa
BugReports: https://github.com/johannes-titz/leabRa/issues
NeedsCompilation: no
Packaged: 2017-09-22 09:45:35 UTC; jt
Author: Johannes Titz [aut, cre, cph], Sergio Verduczo-Flores [cph], Randall O'Reilly [cph]
Maintainer: Johannes Titz <johannes.titz@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-22 11:07:21 UTC

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New package vpc with initial version 1.0.0
Package: vpc
Title: Create Visual Predictive Checks
Version: 1.0.0
Date: 2017-09-21
Author: Ron Keizer <ronkeizer@gmail.com>
Maintainer: Ron Keizer <ronkeizer@gmail.com>
Description: Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.
Depends: R (>= 3.1.0)
Imports: classInt, dplyr, reshape2, MASS, survival, ggplot2, readr
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/ronkeizer/vpc
Suggests: knitr, testit
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 03:50:06 UTC; ronkeizer
Repository: CRAN
Date/Publication: 2017-09-22 09:04:42 UTC

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New package sglg with initial version 0.1.0
Package: sglg
Type: Package
Title: Fitting Semi-Parametric Generalized log-Gamma Regression Models
Version: 0.1.0
Author: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com> and G. Paula and L. Vanegas
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>
Description: Set of tools to fit a linear multiple or semi-parametric regression models. Under this setup, the localization parameter of the response variable distribution is modeled by using linear multiple regression or semi-parametric functions, whose non-parametric components may be approximated by natural cubic spline or P-splines. The supported distribution for the model error is a generalized log-gamma distribution which includes the generalized extreme value distribution as an important special case.
Depends: R (>= 3.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
Imports: ssym, robustloggamma, Formula, survival, methods, graphics, stats
NeedsCompilation: no
Packaged: 2017-09-22 01:18:57 UTC; Sandrita
Repository: CRAN
Date/Publication: 2017-09-22 08:36:50 UTC

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New package RcmdrPlugin.sutteForecastR with initial version 1.0.0
Package: RcmdrPlugin.sutteForecastR
Type: Package
Title: 'Rcmdr' Plugin for Alpha-Sutte Indicator 'sutteForecastR'
Version: 1.0.0
Date: 2017-09-08
Authors@R: c(person("Ansari Saleh", "Ahmar", role = c("aut", "cre"), email = "ansarisaleh@unm.ac.id"))
Author: Ansari Saleh Ahmar [aut, cre]
Maintainer: Ansari Saleh Ahmar <ansarisaleh@unm.ac.id>
Depends: R (>= 3.0), Rcmdr (>= 1.8-3), sutteForecastR
Description: The 'sutteForecastR' is a package of Alpha-Sutte indicator. To make the 'sutteForecastR' user friendly, so we develop an 'Rcmdr' plug-in based on the Alpha-Sutte indicator function.
License: GPL (>= 2)
URL: https://www.r-project.org, http://www.ansarisaleh.web.id
NeedsCompilation: no
Packaged: 2017-09-21 21:59:27 UTC; sutte
Repository: CRAN
Date/Publication: 2017-09-22 08:44:55 UTC

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New package qrcmNL with initial version 0.1.0
Package: qrcmNL
Type: Package
Title: Nonlinear Quantile Regression Coefficients Modeling
Version: 0.1.0
Author: Gianluca Sottile [aut, cre], Giovanna Cilluffo [aut, ctb], Paolo Frumento [aut, ctb], Matteo Bottai [ctb]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>
Description: Nonlinear parametric modeling of quantile regression coefficient functions. Frumento P and Bottai M (2016) <doi:10.1111/biom.12410>.
Imports: stats, graphics, grDevices, utils
License: GPL-2
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 07:30:17 UTC; gianlucasottile
Repository: CRAN
Date/Publication: 2017-09-22 08:42:11 UTC

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New package googleLanguageR with initial version 0.1.0
Package: googleLanguageR
Title: Call Google's 'Natural Language' API, 'Cloud Translation' API and 'Cloud Speech' API
Version: 0.1.0
Authors@R: c(person("Mark", "Edmondson", email = "r@sunholo.com", role = c("aut", "cre")), person("Neal", "Richardson", email = "neal.p.richardson@gmail.com", role = "rev", comment = "Neal reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/127>"), person("Julia", "Gustavsen", email = "j.gustavsen@gmail.com", role = "rev", comment = "Julia reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/127>") )
Description: Call 'Google Cloud' machine learning APIs for text and speech tasks. Call the 'Cloud Translation' API <https://cloud.google.com/translate/> for detection and translation of text, the 'Natural Language' API <https://cloud.google.com/natural-language/> to analyse text for sentiment, entities or syntax or the 'Cloud Speech' API <https://cloud.google.com/speech/> to transcribe sound files to text.
URL: http://code.markedmondson.me/googleLanguageR/
BugReports: https://github.com/MarkEdmondson1234/googleLanguageR/issues
Depends: R (>= 3.3.2)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Imports: assertthat, base64enc, googleAuthR, jsonlite, magrittr, purrr, stats, tibble
Suggests: cld2, httptest, knitr, rmarkdown, rvest, stringdist, tidyr, xml2
NeedsCompilation: no
Packaged: 2017-09-21 18:15:04 UTC; mark
Author: Mark Edmondson [aut, cre], Neal Richardson [rev] (Neal reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/127>), Julia Gustavsen [rev] (Julia reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/127>)
Maintainer: Mark Edmondson <r@sunholo.com>
Repository: CRAN
Date/Publication: 2017-09-22 08:51:56 UTC

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Thu, 21 Sep 2017

New package SSLASSO with initial version 0.0-1
Package: SSLASSO
Version: 0.0-1
Date: 2017-09-21
Title: The Spike-and-Slab LASSO
Author: Veronika Rockova [aut,cre], Gemma Moran [aut]
Maintainer: Veronika Rockova <veronika.rockova@chicagobooth.edu>
Description: Efficient algorithms for fitting regularization paths for linear models penalized by Spike-and-Slab LASSO.
URL: http://faculty.chicagobooth.edu/veronika.rockova/ssl.pdf
Depends:
License: GPL-3
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-09-21 15:56:10 UTC; vrockova
Repository: CRAN
Date/Publication: 2017-09-21 20:43:31 UTC

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New package rstansim with initial version 0.1.1
Package: rstansim
Type: Package
Title: Simulation Studies with Stan
Version: 0.1.1
Date: 2017-09-16
Authors@R: person("Ewan", "Keith", email = "ewan.keith100@gmail.com", role = c("aut", "cre"))
Description: Provides a set of functions to facilitate and ease the running of simulation studies of Bayesian models using 'stan'. Provides functionality to simulate data, fit models, and manage simulation results.
License: GPL (>= 3) | file LICENSE
Encoding: UTF-8
LazyData: true
Imports: loo (>= 1.0.0), foreach (>= 1.4.3), doSNOW (>= 1.0.14), doRNG (>= 1.6.6), rstan (>= 2.14.1)
Depends: R (>= 3.2.3), Rcpp (>= 0.12.12)
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, ggplot2, ggjoy
VignetteBuilder: knitr
URL: https://github.com/Ewan-Keith/rstansim#rstansim
BugReports: https://github.com/Ewan-Keith/rstansim/issues
NeedsCompilation: no
Packaged: 2017-09-21 13:30:03 UTC; ewan
Author: Ewan Keith [aut, cre]
Maintainer: Ewan Keith <ewan.keith100@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-21 17:06:14 UTC

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New package genBaRcode with initial version 1.0.0
Package: genBaRcode
Title: Analysis and Visualization Tools for Genetic Barcode Data
Version: 1.0.0
Author: Lars Thielecke <lars.thielecke@tu-dresden.de>
Maintainer: Lars Thielecke <lars.thielecke@tu-dresden.de>
Description: Provides the necessary functions to identify and extract a selection of already available barcode constructs (Cornils, K. et al. (2014) <doi:10.1093/nar/gku081>) and freely choosable barcode designs from next generation sequence (NGS) data. Furthermore, it offers the possibility to account for sequence errors, the calculation of barcode similarities and provides a variety of visualisation tools (Thielecke, L. et al. (2017) <doi:10.1038/srep43249>).
Depends: R (>= 3.4.0)
License: LGPL
Encoding: UTF-8
LazyData: true
Suggests: testthat
Imports: methods, Biostrings, RColorBrewer, ShortRead, ape, ggnetwork, ggplot2, igraph, network, phangorn, stringdist, visNetwork, reshape2, S4Vectors, shiny
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-21 12:06:00 UTC; LT
Repository: CRAN
Date/Publication: 2017-09-21 17:11:30 UTC

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New package brazilmaps with initial version 0.1.0
Package: brazilmaps
Type: Package
Title: Brazilian Maps from Different Geographic Levels
Version: 0.1.0
Authors@R: person("Renato", "Prado Siqueira", email = "rpradosiqueira@gmail.com", role = c("aut", "cre"))
Description: Obtain Brazilian map spatial objects of varying region types (e.g. cities, states, microregions, mesoregions). Convenience functions for plotting choropleths and working with the geographic codes are also provided.
Depends: R (>= 3.2.0)
LazyData: true
License: GPL-3
Encoding: UTF-8
URL: http://github.com/rpradosiqueira/brazilmaps
BugReports: http://github.com/rpradosiqueira/brazilmaps/issues
Imports: dplyr, ggplot2, magrittr, methods, sf, sp,
RoxygenNote: 6.0.1
Suggests: knitr
NeedsCompilation: no
Packaged: 2017-09-21 10:41:53 UTC; Renato
Author: Renato Prado Siqueira [aut, cre]
Maintainer: Renato Prado Siqueira <rpradosiqueira@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-21 17:02:52 UTC

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New package augSIMEX with initial version 1.0
Package: augSIMEX
Type: Package
Title: Analysis of Data with Mixed Measurement Error and Misclassification in Covariates
Version: 1.0
Date: 2017-08-21
Author: Qihuang Zhang <qihuang.zhang@uwaterloo.ca>, Grace Y. Yi <yyi@uwaterloo.ca>
Maintainer: Qihuang Zhang <qihuang.zhang@uwaterloo.ca>
Description: Implementation of the augmented Simulation-Extrapolation (SIMEX) algorithm proposed by Yi et al. (2015) <doi:10.1080/01621459.2014.922777> for analyzing the data with mixed measurement error and misclassification. The main function provides a similar summary output as that of glm() function. Both parametric and empirical SIMEX are considered in the package.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.11), MASS, rootSolve, stats, graphics
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-09-21 13:31:06 UTC; Qihuang
Repository: CRAN
Date/Publication: 2017-09-21 17:40:45 UTC

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New package edmcr with initial version 0.1
Package: edmcr
Version: 0.1
Date: 2017-09-21
Title: Tools to Complete Euclidean Distance Matrices
Description: Implements the Euclidean distance matrix completion algorithms of Alfakih, Khandani, and Wolkowicz (1999) <doi:10.1023/A:1008655427845>, Trosset (2000) <doi:10.1023/A:1008722907820>, Fang and O'Leary (2012) <doi:10.1080/10556788.2011.643888>, and Rahman and Oldford (2017) <arXiv:1610.06599> the Sensor Network Localization Algorithm of Krislock and Wolkowicz (2010) <doi:10.1137/090759392>, and the molecular reconstruction algorithm of Alipanahi (2011).
Author: Adam Rahman and Wayne Oldford (R), Timothy Davis and Stefan Larimore (colamd & Suitesparse)
Maintainer: Adam Rahman <a45rahma@uwaterloo.ca>
Depends: R (>= 3.1.0)
Imports: Matrix, igraph, lbfgs, truncnorm, MASS, nloptr, vegan, sdpt3r, utils, methods, stats
KeepSource: yes
NeedsCompilation: yes
License: GPL-2 | GPL-3
Encoding: UTF-8
RoxygenNote: 5.0.1
Packaged: 2017-09-21 14:31:10 UTC; adamr
Repository: CRAN
Date/Publication: 2017-09-21 16:57:12 UTC

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New package magicLamp with initial version 0.1.0
Package: magicLamp
Type: Package
Title: 'WeMo Switch' Smart Plug Utilities
Version: 0.1.0
Author: Simon Garnier
Maintainer: Simon Garnier <garnier@njit.edu>
Description: Set of utility functions to interact with 'WeMo Switch', a smart plug that can be remotely controlled via wifi. The provided functions make it possible to turn one or more 'WeMo Switch' plugs on and off in a scriptable fashion. More information about 'WeMo Switch' can be found at <http://www.belkin.com/us/p/P-F7C027/>.
License: GPL-3
URL: https://github.com/swarm-lab/magicLamp
Encoding: UTF-8
LazyData: true
Imports: httr (>= 1.3.1), tibble (>= 1.3.4)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-21 03:24:49 UTC; simon
Repository: CRAN
Date/Publication: 2017-09-21 09:04:42 UTC

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New package softermax with initial version 0.3.0
Package: softermax
Type: Package
Title: Read Exported Data from 'SoftMax Pro'
Description: Read microtiter plate data and templates exported from Molecular Devices 'SoftMax Pro' software <https://www.moleculardevices.com/systems/microplate-readers/softmax-pro-7-software>. Data exported by 'SoftMax Pro' version 5.4 and greater are supported.
Version: 0.3.0
Authors@R: c(person(given = "Brian", family = "Connelly", email = "bdc@bconnelly.net", role = c("aut", "cre")))
License: BSD_2_clause + file LICENSE
URL: https://github.com/briandconnelly/softermax
BugReports: https://github.com/briandconnelly/softermax/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: readr, xml2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-20 22:58:49 UTC; bdc
Author: Brian Connelly [aut, cre]
Maintainer: Brian Connelly <bdc@bconnelly.net>
Repository: CRAN
Date/Publication: 2017-09-21 08:09:27 UTC

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New package Rdimtools with initial version 0.1.0
Package: Rdimtools
Type: Package
Title: Dimension Reduction and Estimation Methods
Version: 0.1.0
Authors@R: c(person("Kisung", "You", role = c("aut", "cre"), email = "kyou@nd.edu"), person("Donggun", "Kim", role = "aut", email = "dgkim5360@gmail.com"), person("Yoon Mo", "Jung", role = "rev", email = "yoonmojung@skku.edu"))
Description: We provide a rich collection of linear and nonlinear dimension reduction techniques implemented using 'RcppArmadillo'. The question on what we should use as the target dimension is addressed by intrinsic dimension estimation methods introduced as well. For more details on dimensionality techniques, see the paper by Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in statistical approach, or Engel, Huttenberger, and Hamann (2012) <doi:10.4230/OASIcs.VLUDS.2011.135> for a broader cross-disciplinary overview.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.12), graphics, stats, Rtsne, Rcsdp
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-09-20 22:37:10 UTC; kisung
Author: Kisung You [aut, cre], Donggun Kim [aut], Yoon Mo Jung [rev]
Maintainer: Kisung You <kyou@nd.edu>
Repository: CRAN
Date/Publication: 2017-09-21 08:31:50 UTC

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New package QLearning with initial version 0.1.1
Package: QLearning
Type: Package
Title: Reinforcement Learning using the Q Learning Algorithm
Version: 0.1.1
Author: Liam Bressler
Maintainer: Liam Bressler <liam.bressler@yale.edu>
Description: Implements Q-Learning, a model-free form of reinforcement learning, described in work by Strehl, Li, Wiewiora, Langford & Littman (2006) <doi:10.1145/1143844.1143955>.
License: GNU General Public License
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-20 21:39:02 UTC; liambressler
Repository: CRAN
Date/Publication: 2017-09-21 07:59:42 UTC

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New package orthoDr with initial version 0.1.0
Package: orthoDr
Type: Package
Title: An Orthogonality Constrained Optimization Approach for Semi-Parametric Dimension Reduction Problems
Version: 0.1.0
Author: Ruilin Zhao, Jiyang Zhang, and Ruoqing Zhu
Maintainer: Ruoqing Zhu <teazrq@gmail.com>
Description: Utilize an orthogonality constrained optimization algorithm of Wen & Yin (2013) <DOI:10.1007/s10107-012-0584-1> to solve a variety of dimension reduction problems in the semiparametric framework, such as Ma & Zhu (2013) <DOI:10.1214/12-AOS1072>, and Sun, Zhu, Wang & Zeng (2017) <arXiv:1704.05046>. It also serves as a general purpose optimization solver for problems with orthogonality constraints.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: yes
Repository: CRAN
Imports: Rcpp (>= 0.12.12), survival, pracma, plot3D, rgl
LinkingTo: Rcpp, RcppArmadillo
Packaged: 2017-09-20 19:48:16 UTC; rqzhu
Date/Publication: 2017-09-21 07:49:50 UTC

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Wed, 20 Sep 2017

New package cptec with initial version 0.1.0
Package: cptec
Type: Package
Title: An Interface to the 'CPTEC/INPE' API
Version: 0.1.0
Authors@R: person("Renato", "Prado Siqueira", email = "rpradosiqueira@gmail.com", role = c("aut", "cre"))
Maintainer: Renato Prado Siqueira <rpradosiqueira@gmail.com>
Description: Allows to retrieve data from the 'CPTEC/INPE' weather forecast API. 'CPTEC' stands for 'Centro de Previsão de Tempo e Estudos Climáticos' and 'INPE' for 'Instituto Nacional de Pesquisas Espaciais'. 'CPTEC' is the most advanced numerical weather and climate forecasting center in Latin America, with high-precision short and medium-term weather forecasting since the beginning of 1995. See <http://www.cptec.inpe.br/> for more information.
Depends: R (>= 3.2.0)
LazyData: true
License: GPL-3
Encoding: UTF-8
URL: http://github.com/rpradosiqueira/cptec
BugReports: http://github.com/rpradosiqueira/cptec/issues
Imports: magrittr, rvest, xml2,
RoxygenNote: 6.0.1
Suggests: knitr
NeedsCompilation: no
Packaged: 2017-09-20 11:45:04 UTC; Renato
Author: Renato Prado Siqueira [aut, cre]
Repository: CRAN
Date/Publication: 2017-09-20 12:57:07 UTC

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New package toxplot with initial version 0.1.0
Package: toxplot
Type: Package
Title: Batch Processing, Modeling and Visualizing the Dose-Response of High-Throughput Screening Bioassay
Version: 0.1.0
Author: Jun Wang
Maintainer: Jun Wang <njekin@gmail.com>
Description: A convenient interface to batch process high-throughput toxicology bioassay screening data. It's designed specifically for screening experiment that features a primary inhibition-type assay and a companion cytotoxicity assay. This package provides functions for data normalization, quality-control analysis, dose-response curve fitting (using the Hill model provided in the 'tcpl' package), visualization, and a unique toxicity-adjusted potency ranking system.
URL: http://github.com/njekin/ToxPlot-R-Package
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: dplyr (>= 0.5.0), tidyr (>= 0.5.0), tcpl (>= 1.0.0), ggplot2 (>= 2.2.0), ggthemes (>= 3.4.0)
Suggests: knitr, rmarkdown, testthat, plotly, devtools,
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-19 20:38:10 UTC; njekin
Repository: CRAN
Date/Publication: 2017-09-20 08:50:03 UTC

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New package ensemblepp with initial version 0.1-0
Package: ensemblepp
Title: Ensemble Postprocessing Data Sets
Version: 0.1-0
Date: 2017-08-29
Authors@R: c(person(given = "Jakob", family = "Messner", role = c("aut", "cre"), email = "jwmm@elektro.dtu.dk"))
Author: Jakob Messner [aut, cre]
Maintainer: Jakob Messner <jwmm@elektro.dtu.dk>
Depends: R (>= 2.10.0)
Suggests: ensembleBMA, crch, gamlss, ensembleMOS, SpecsVerification, scoringRules, glmx, ordinal, pROC, mvtnorm
Description: Data sets for the chapter "Ensemble Postprocessing with R" of the book Stephane Vannitsem, Daniel S. Wilks, and Jakob W. Messner (2017) "Statistical Postprocessing of Ensemble Forecasts", Elsevier, to appear. These data sets contain temperature and precipitation ensemble weather forecasts and corresponding observations at Innsbruck/Austria. Additionally, a demo with the full code of the book chapter is provided.
License: GPL-2 | GPL-3
NeedsCompilation: no
Packaged: 2017-09-19 12:23:41 UTC; jakobm
Repository: CRAN
Date/Publication: 2017-09-20 08:30:38 UTC

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New package dng with initial version 0.1.0
Package: dng
Version: 0.1.0
Date: 2017-09-16
Title: Distributions and Gradients
Type: Package
Author: Feng Li, Jiayue Zeng
Maintainer: Jiayue Zeng <zengjiayue@126.com>
Depends: R (>= 3.0.0)
Description: Provides density, distribution function, quantile function and random generation for the split-t distribution, and computes the mean, variance, skewness and kurtosis for the split-t distribution (Li, F, Villani, M. and Kohn, R. (2010) <doi:10.1016/j.jspi.2010.04.031>).
License: GPL (>= 2)
URL: https://bitbucket.org/fli/dng
Encoding: UTF-8
LazyData: true
Imports: stats, Rcpp (>= 0.12.9)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-09-20 01:48:28 UTC; Zeng
Repository: CRAN
Date/Publication: 2017-09-20 08:17:07 UTC

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Tue, 19 Sep 2017

New package CMatching with initial version 1.0
Package: CMatching
Title: Matching Algorithms for Causal Inference with Clustered Data
Version: 1.0
Authors@R: c(person("Massimo", "Cannas", role = c("aut", "cre"), email = "massimo.cannas@unica.it"), person("Elena", "Colicino", role = "ctb", email = "elena.colicino@mssm.edu"))
Date: 2017-08-31
Author: Massimo Cannas [aut, cre], Elena Colicino [ctb]
Maintainer: Massimo Cannas <massimo.cannas@unica.it>
Description: Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) <doi:10.1002/sim.6880>. Pure within-cluster and preferential-within cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.
Depends: R (>= 2.6.0), Matching
Imports: stats,lmtest,multiwayvcov,lme4
Suggests: MASS
LazyData: false
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-09-19 12:46:20 UTC; massimo
Repository: CRAN
Date/Publication: 2017-09-19 17:30:32 UTC

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New package predtoolsTS with initial version 0.1.0
Package: predtoolsTS
Type: Package
Title: Time Series Prediction
Version: 0.1.0
Author: Alberto Vico Moreno
Maintainer: Alberto Vico Moreno <avm00016@red.ujaen.es>
Description: Makes the time series prediction easier by automatizing this process using four main functions: prep(), modl(), pred() and postp(). Features different preprocessing methods to homogenize variance and to remove trend and seasonality. Also has the potential to bring together different predictive models to make comparatives. Features ARIMA and Data Mining Regression models (using caret).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: caret, forecast, graphics, methods, Metrics, stats, TSPred, tseries, utils
NeedsCompilation: no
Packaged: 2017-09-19 16:00:57 UTC; Alberto Vico Moreno
Repository: CRAN
Date/Publication: 2017-09-19 17:25:50 UTC

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New package Brundle with initial version 1.0.5
Package: Brundle
Type: Package
Title: Normalisation Tools for Inter-Condition Variability of ChIP-Seq Data
Version: 1.0.5
Author: Andrew N Holding
Maintainer: Andrew N Holding <andrew.holding@cruk.cam.ac.uk>
Description: Inter-sample condition variability is a key challenge of normalising ChIP-seq data. This implementation uses either spike-in or a second factor as a control for normalisation. Input can either be from 'DiffBind' or a matrix formatted for 'DESeq2'. The output is either a 'DiffBind' object or the default 'DESeq2' output. Either can then be processed as normal. Supporting manuscript Guertin, Markowetz and Holding (2017) <doi:10.1101/182261>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: DiffBind, Rsamtools, DESeq2, lattice, stats, utils, graphics
RoxygenNote: 6.0.1
biocViews: Software, Technology, Sequencing, ChIPSeq
NeedsCompilation: no
Packaged: 2017-09-19 12:55:40 UTC; holdin01
Repository: CRAN
Date/Publication: 2017-09-19 17:27:55 UTC

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New package manet with initial version 1.0
Package: manet
Title: Multiple Allocation Model for Actor-Event Networks
Version: 1.0
Authors@R: c(person("Saverio", "Ranciati", email = "sav.ranciati@gmail.com", role = "aut"),person("Veronica", "Vinciotti", email = "veronica.vinciotti@brunel.ac.uk", role = "cre"),person("Ernst", "Wit", email = "e.c.wit@rug.nl", role = "aut"))
Description: Mixture model with overlapping clusters for binary actor-event data. Parameters are estimated in a Bayesian framework. Model and inference are described in Ranciati, Vinciotti, Wit (2017) Modelling actor-event network data via a mixture model under overlapping clusters. Submitted.
Depends: R (>= 3.3.3), MCMCpack, combinat, igraph
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-19 10:12:38 UTC; mastvvv
Author: Saverio Ranciati [aut], Veronica Vinciotti [cre], Ernst Wit [aut]
Maintainer: Veronica Vinciotti <veronica.vinciotti@brunel.ac.uk>
Repository: CRAN
Date/Publication: 2017-09-19 10:26:59 UTC

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New package gma with initial version 1.0
Package: gma
Type: Package
Title: Granger Mediation Analysis
Version: 1.0
Date: 2018-08-23
Author: Yi Zhao <zhaoyi1026@gmail.com>, Xi Luo <xi.rossi.luo@gmail.com>
Maintainer: Yi Zhao <zhaoyi1026@gmail.com>
Description: Performs Granger mediation analysis (GMA) for time series. This package includes a single level GMA model and a two-level GMA model, for time series with hierarchically nested structure. The single level GMA model for the time series of a single participant performs the causal mediation analysis which integrates the structural equation modeling and the Granger causality frameworks. A vector autoregressive model of order p is employed to account for the spatiotemporal dependencies in the data. Meanwhile, the model introduces the unmeasured confounding effect through a nonzero correlation parameter. Under the two-level model, by leveraging the variabilities across participants, the parameters are identifiable and consistently estimated based on a full conditional likelihood or a two-stage method. See Zhao, Y., & Luo, X. (2017), Granger Mediation Analysis of Multiple Time Series with an Application to fMRI, <arXiv:1709.05328> for details.
License: GPL (>= 2)
Depends: MASS, nlme, car
NeedsCompilation: no
Packaged: 2017-09-18 14:14:15 UTC; yizhao
Repository: CRAN
Date/Publication: 2017-09-19 10:07:35 UTC

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New package EQUIVNONINF with initial version 1.0
Package: EQUIVNONINF
Type: Package
Title: Testing for Equivalence and Noninferiority
Version: 1.0
Date: 2017-09-12
Author: Stefan Wellek, Peter Ziegler
Maintainer: Stefan Wellek <stefan.wellek@zi-mannheim.de>
Description: Making available in R the complete set of programs accompanying S. Wellek's (2010) monograph ''Testing Statistical Hypotheses of Equivalence and Noninferiority. Second Edition'' (Chapman&Hall/CRC).
License: CC0
Depends: R (>= 3.0.0), stats, BiasedUrn
NeedsCompilation: no
Packaged: 2017-09-18 13:56:16 UTC; ziegler
Repository: CRAN
Date/Publication: 2017-09-19 10:23:41 UTC

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New package kpeaks with initial version 0.1.0
Package: kpeaks
Type: Package
Title: Determination of K Using Peak Counts of Features for Clustering
Version: 0.1.0
Date: 2017-09-17
Authors@R: c(person("Zeynel", "Cebeci", email = "zcebeci@cukurova.edu.tr", role = c("aut", "cre")), person("Cagatay","Cebeci", role = "aut", email = "cagataycebeci@gmail.com"))
Author: Zeynel Cebeci [aut, cre], Cagatay Cebeci [aut]
Maintainer: Zeynel Cebeci <zcebeci@cukurova.edu.tr>
Description: The input argument k which is the number of clusters is needed to start all of the partitioning clustering algorithms. In unsupervised learning applications, an optimal value of this argument is widely determined by using the internal validity indexes. Since these indexes suggest a k value which is computed on the clustering results after several runs of a clustering algorithm they are computationally expensive. On the contrary, 'kpeaks' enables to estimate k before running any clustering algorithm. It is based on a simple novel technique using the descriptive statistics of peak counts of the features in a data set.
Depends: R (>= 2.10.0)
License: GPL (>= 2)
LazyData: true
Imports: graphics, stats, utils
NeedsCompilation: no
Packaged: 2017-09-17 17:29:04 UTC; user1
Repository: CRAN
Date/Publication: 2017-09-19 09:37:37 UTC

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New package importar with initial version 0.1.0
Package: importar
Type: Package
Title: Enables Importing/Loadig of Packages or Functions While Creating an Alias for Them
Version: 0.1.0
Author: Andrea Cantieni
Maintainer: Andrea Cantieni <andrea.cantieni@phsz.ch>
Description: Enables 'Python'-like importing/loading of packages or functions with aliasing to prevent namespace conflicts.
URL: https://github.com/andreaphsz/importar
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: dplyr
Imports: utils
NeedsCompilation: no
Packaged: 2017-09-18 13:53:27 UTC; phsz
Repository: CRAN
Date/Publication: 2017-09-19 09:29:33 UTC

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New package IGP with initial version 0.1.0
Package: IGP
Type: Package
Title: Interchangeable Gaussian Process Models
Version: 0.1.0
Authors@R: c( person("Collin", "Erickson", email = "collinberickson@gmail.com", role = c("aut", "cre")) )
Description: Creates a Gaussian process model using the specified package. Makes it easy to try different packages in same code, only the package argument needs to be changed. It is essentially a wrapper for the other Gaussian process software packages.
License: GPL-3
LazyData: TRUE
Imports: R6, PythonInR
Suggests: GPfit, laGP, mlegp, tgp, DiceKriging, GauPro, testthat, lhs, ggplot2, reshape, numDeriv
RoxygenNote: 6.0.1
URL: https://github.com/CollinErickson/IGP
BugReports: https://github.com/CollinErickson/IGP/issues
NeedsCompilation: no
Packaged: 2017-09-19 03:01:05 UTC; cbe117
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-19 09:50:45 UTC

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New package SiER with initial version 0.1.0
Package: SiER
Type: Package
Title: Signal Extraction Approach for Sparse Multivariate Response Regression
Version: 0.1.0
Author: Ruiyan, Xin Qi
Maintainer: Ruiyan Luo <rluo@gsu.edu>
Description: Methods for regression with high-dimensional predictors and univariate or maltivariate response variables. It considers the decomposition of the coefficient matrix that leads to the best approximation to the signal part in the response given any rank, and estimates the decomposition by solving a penalized generalized eigenvalue problem followed by a least squares procedure. Ruiyan Luo and Xin Qi (2017) <doi:10.1016/j.jmva.2016.09.005>.
License: GPL-2
LazyData: TRUE
Suggests: MASS
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-09-18 14:59:04 UTC; Ruiyan
Repository: CRAN
Date/Publication: 2017-09-19 08:50:24 UTC

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New package fusionclust with initial version 1.0.0
Package: fusionclust
Title: Clustering and Feature Screening using L1 Fusion Penalty
Version: 1.0.0
Authors@R: c(person("Trambak","Banerjee",role=c("aut","cre"), email="trambakb@usc.edu"), person("Gourab","Mukherjee",role="aut",email="gourab@usc.edu"), person("Peter","Radchenko",role="aut",email="peter.radchenko@sydney.edu.au"))
Description: Provides the Big Merge Tracker and COSCI algorithms for convex clustering and feature screening using L1 fusion penalty. See Radchenko, P. and Mukherjee, G. (2017) <doi:10.1111/rssb.12226> and T.Banerjee et al. (2017) <doi:10.1016/j.jmva.2017.08.001> for more details.
Depends: R (>= 3.4.1)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: bbmle, stats, graphics
RoxygenNote: 6.0.1
URL: https://github.com/trambakbanerjee/fusionclust
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-19 01:43:57 UTC; Jolly
Author: Trambak Banerjee [aut, cre], Gourab Mukherjee [aut], Peter Radchenko [aut]
Maintainer: Trambak Banerjee <trambakb@usc.edu>
Repository: CRAN
Date/Publication: 2017-09-19 08:21:58 UTC

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New package curvecomp with initial version 0.1.0
Package: curvecomp
Type: Package
Title: Multiple Curve Comparisons Using Parametric Bootstrap
Version: 0.1.0
Author: Kimihiro Noguchi <kimihiro.noguchi@wwu.edu>
Maintainer: Christopher Murphy <cmurphy0313@gmail.com>
Description: Performs multiple comparison procedures on curve observations among different treatment groups. The methods are applicable in a variety of situations (such as independent groups with equal or unequal sample sizes, or repeated measures) by using parametric bootstrap. References to these procedures can be found at Konietschke, Gel, and Brunner (2014) <doi:10.1090/conm/622/12431> and Westfall (2011) <doi:10.1080/10543406.2011.607751>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: multcomp (>= 0.4-8.0)
RoxygenNote: 5.0.1
Packaged: 2017-09-19 04:23:46 UTC; Chris
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-09-19 08:25:21 UTC

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New package BMT with initial version 0.1.0.3
Package: BMT
Type: Package
Title: The BMT Distribution
Version: 0.1.0.3
Date: 2017-09-18
Author: Camilo Jose Torres-Jimenez [aut,cre], Alvaro Mauricio Montenegro Diaz [ths]
Maintainer: Camilo Jose Torres-Jimenez <cjtorresj@gmail.com>
Description: Density, distribution, quantile function, random number generation for the BMT (Bezier-Montenegro-Torres) distribution. Torres-Jimenez C.J. and Montenegro-Diaz A.M. (2017) <arXiv:1709.05534>. Moments, descriptive measures and parameter conversion for different parameterizations of the BMT distribution. Fit of the BMT distribution to non-censored data by maximum likelihood, moment matching, quantile matching, maximum goodness-of-fit, also known as minimum distance, maximum product of spacing, also called maximum spacing, and minimum quantile distance, which can also be called maximum quantile goodness-of-fit. Fit of univariate distributions for non-censored data using maximum product of spacing estimation and minimum quantile distance estimation is also included.
License: GPL (>= 2)
Depends: partitions, fitdistrplus
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-19 02:51:31 UTC; cjtorresj
Repository: CRAN
Date/Publication: 2017-09-19 08:43:36 UTC

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New package binaryGP with initial version 0.2
Package: binaryGP
Type: Package
Title: Fit and Predict a Gaussian Process Model with (Time-Series) Binary Response
Version: 0.2
Date: 2017-09-17
Author: Chih-Li Sung
Maintainer: Chih-Li Sung <iamdfchile@gmail.com>
Description: Allows the estimation and prediction for binary Gaussian process model. The mean function can be assumed to have time-series structure. The estimation methods for the unknown parameters are based on penalized quasi-likelihood/penalized quasi-partial likelihood and restricted maximum likelihood. The predicted probability and its confidence interval are computed by Metropolis-Hastings algorithm. More details can be seen in Sung et al (2017) <arXiv:1705.02511>.
License: GPL-2 | GPL-3
LazyData: TRUE
Imports: Rcpp (>= 0.12.0), lhs (>= 0.10), logitnorm (>= 0.8.29), nloptr (>= 1.0.4), GPfit (>= 1.0-0), stats, graphics, utils, methods
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 5.0.1
Depends: R (>= 2.14.1)
NeedsCompilation: yes
Packaged: 2017-09-18 16:24:05 UTC; apple
Repository: CRAN
Date/Publication: 2017-09-19 08:34:21 UTC

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Mon, 18 Sep 2017

New package tsgui with initial version 0.0.3
Package: tsgui
Version: 0.0.3
Title: Gui for Simulating Time Series
Author: Martin Schlather [aut, cre],
Maintainer: Martin Schlather <schlather@math.uni-mannheim.de>
Depends: R (>= 3.0), RandomFieldsUtils
Imports: stats,graphics, methods, grDevices, utils, tcltk2, tcltk, tkrplot
Suggests:
Description: This gui shows realisations of times series, currently ARMA and GARCH processes. It might be helpful for teaching and studying.
License: GPL (>= 3)
URL: http://ms.math.uni-mannheim.de/de/publications/software
Packaged: 2017-09-18 07:44:10 UTC; schlather
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2017-09-18 15:13:01 UTC

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New package scaleboot with initial version 0.3-4
Package: scaleboot
Type: Package
Title: Approximately Unbiased P-Values via Multiscale Bootstrap
Version: 0.3-4
Date: 2017-09-18
Author: Hidetoshi Shimodaira
Maintainer: Hidetoshi Shimodaira <shimo@i.kyoto-u.ac.jp>
Depends: R (>= 2.10.0)
Imports: pvclust (>= 2.0-0), mvtnorm
Description: Calculating approximately unbiased (AU) p-values from multiscale bootstrap probabilities. See Shimodaira (2004) <doi:10.1214/009053604000000823> and Shimodaira (2008) <doi:10.1016/j.jspi.2007.04.001>.
License: GPL (>= 2)
URL: http://stat.sys.i.kyoto-u.ac.jp/prog/scaleboot/
NeedsCompilation: no
Packaged: 2017-09-18 08:11:55 UTC; shimo
Repository: CRAN
Date/Publication: 2017-09-18 15:21:27 UTC

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New package leafSTAR with initial version 1.0
Package: leafSTAR
Title: Silhouette to Area Ratio of Tilted Surfaces
Version: 1.0
Author: Agustina Ventre Lespiaucq [aut, cre], Silvia Santamaria Bueno [aut]
Maintainer: Agustina Ventre Lespiaucq <aguslespiaucq@gmail.com>
Description: Implementation of trigonometric functions to calculate the exposure of flat, tilted surfaces, such as leaves and slopes, to direct solar radiation. It implements the equations in A.G. Escribano-Rocafort, A. Ventre-Lespiaucq, C. Granado-Yela, et al. (2014) <doi:10.1111/2041-210X.12141> in a few user-friendly R functions. All functions handle data obtained with 'Ahmes' 1.0 for Android, as well as more traditional data sources (compass, protractor, inclinometer). The main function (star()) calculates the potential exposure of flat, tilted surfaces to direct solar radiation (silhouette to area ratio, STAR). It is equivalent to the ratio of the leaf projected area to total leaf area, but instead of using area data it uses spatial position angles, such as pitch, roll and course, and information on the geographical coordinates, hour, and date. The package includes additional functions to recalculate STAR with custom settings of location and time, to calculate the tilt angle of a surface, and the minimum angle between two non-orthogonal planes.
Depends: R (>= 3.4.1)
License: AGPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-18 13:26:03 UTC; silvia.santamaria
Repository: CRAN
Date/Publication: 2017-09-18 13:37:22 UTC

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New package egcm with initial version 1.0.12
Package: egcm
Type: Package
Title: Engle-Granger Cointegration Models
Version: 1.0.12
Date: 2017-08-28
Authors@R: c(person("Matthew", "Clegg", role=c("aut","cre","cph"), email="matthewcleggphd@gmail.com"))
Description: An easy-to-use implementation of the Engle-Granger two-step procedure for identifying pairs of cointegrated series. It is geared towards the analysis of pairs of securities. Summary and plot functions are provided, and the package is able to fetch closing prices of securities from Yahoo. A variety of unit root tests are supported, and an improved unit root test is included.
Depends: zoo, xts
Imports: grid, ggplot2, tseries, MASS, urca, parallel, pracma, stats, quantmod, methods
License: GPL-2 | GPL-3
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-18 05:02:57 UTC; matthewclegg
Author: Matthew Clegg [aut, cre, cph]
Maintainer: Matthew Clegg <matthewcleggphd@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-18 13:00:53 UTC

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Sun, 17 Sep 2017

New package cytominer with initial version 0.1.0
Package: cytominer
Type: Package
Title: Methods for Image-Based Cell Profiling
Version: 0.1.0
Authors@R: c(person("Tim", "Becker", email = "tbecker@broadinstitute.org", role = "aut"), person("Allen", "Goodman", email = "allen.goodman@icloud.com", role = "aut"), person("Claire", "McQuin", email = "mcquin@broadinstitute.org", role = "aut"), person("Mohammad", "Rohban", email = "mrohban@broadinstitute.org", role = "aut"), person("Shantanu", "Singh", email = "shsingh@broadinstitute.org", role = c("aut", "cre")) )
Description: Typical morphological profiling datasets have millions of cells and hundreds of features per cell. When working with this data, you must clean the data, normalize the features to make them comparable across experiments, transform the features, select features based on their quality, and aggregate the single-cell data, if needed. 'cytominer' makes these steps fast and easy. Methods used in practice in the field are discussed in Caicedo (2017) <doi:10.1038/nmeth.4397>. An overview of the field is presented in Caicedo (2016) <doi:10.1016/j.copbio.2016.04.003>.
Depends: R (>= 3.3.3)
License: BSD_3_clause + file LICENSE
LazyData: TRUE
Imports: caret (>= 6.0.76), doParallel (>= 1.0.10), dplyr (>= 0.7.2), foreach (>= 1.4.3), futile.logger (>= 1.4.3), magrittr (>= 1.5), purrr (>= 0.2.3), rlang (>= 0.1.2), tibble (>= 1.3.4), tidyr (>= 0.7.1)
Suggests: DBI (>= 0.7), dbplyr (>= 1.1.0), knitr (>= 1.17), lazyeval (>= 0.2.0), readr (>= 1.1.1), rmarkdown (>= 1.6), RSQLite (>= 2.0), stringr (>= 1.2.0), testthat (>= 1.0.2)
VignetteBuilder: knitr
URL: https://github.com/cytomining/cytominer
BugReports: https://github.com/cytomining/cytominer/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-13 19:23:28 UTC; shsingh
Author: Tim Becker [aut], Allen Goodman [aut], Claire McQuin [aut], Mohammad Rohban [aut], Shantanu Singh [aut, cre]
Maintainer: Shantanu Singh <shsingh@broadinstitute.org>
Repository: CRAN
Date/Publication: 2017-09-17 18:25:04 UTC

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New package ThankYouStars with initial version 0.1.0
Package: ThankYouStars
Type: Package
Title: Give your Dependencies Stars on GitHub!
Version: 0.1.0
Authors@R: c(person(given = "Naoto", family = "Koshimizu", email = "orehacks@gmail.com", role = c("aut", "cre")))
Maintainer: Naoto Koshimizu <orehacks@gmail.com>
Description: A tool for starring GitHub repositories.
URL: https://github.com/ksmzn/ThankYouStars
BugReports: https://github.com/ksmzn/ThankYouStars/issues
Imports: httr, jsonlite
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-09-17 16:22:37 UTC; ksmzn
Author: Naoto Koshimizu [aut, cre]
Repository: CRAN
Date/Publication: 2017-09-17 17:23:58 UTC

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New package rbtt with initial version 0.1.0
Package: rbtt
Title: Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I Error for Non-Negative, Zero-Inflated Data
Version: 0.1.0
Authors@R: c( person("Ian", "Waudby-Smith", email = "iwaudbysmith@gmail.com", role = c("aut", "cre")), person("Pengfei", "Li", email = "pengfei.li@uwaterloo.ca", role = "aut") )
Description: Tu & Zhou (1999) <doi:10.1002/(SICI)1097-0258(19991030)18:20%3C2749::AID-SIM195%3E3.0.CO;2-C> showed that comparing the means of populations whose data-generating distributions are non-negative with excess zero observations is a problem of great importance in the analysis of medical cost data. In the same study, Tu & Zhou discuss that it can be difficult to control type-I error rates of general-purpose statistical tests for comparing the means of these particular data sets. This package allows users to perform a modified bootstrap-based t-test that aims to better control type-I error rates in these situations.
Depends: R (>= 3.3.0)
Imports: stats, data.table, parallel
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-09-17 16:22:03 UTC; iws
Author: Ian Waudby-Smith [aut, cre], Pengfei Li [aut]
Maintainer: Ian Waudby-Smith <iwaudbysmith@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-17 17:15:22 UTC

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New package DescriptiveStats.OBeu with initial version 1.2.0
Package: DescriptiveStats.OBeu
Type: Package
Title: Descriptive Statistics OpenBudgets.eu
Version: 1.2.0
Date: 2017-09-16
Description: Estimate and return the needed parameters for visualizations designed for OpenBudgets.eu <http://openbudgets.eu/> datasets. Calculate descriptive statistical measures in Budget data of municipalities across Europe, according to the OpenBudgets.eu data model. There are functions for measuring central tendency and dispersion of amount variables along with their distributions and correlations and the frequencies of categorical variables for a given dataset of the input OpenBudgets.eu fiscal datasets. Also, can be used generally to extract visualization parameters convert them to JSON format and use them as input in a different graphical interface.
Author: Kleanthis Koupidis <koupidis@okfn.gr>, Aikaterini Chatzopoulou <kchatzopoul@okfn.gr>, Charalampos Bratsas <charalampos.bratsas@okfn.org>
Maintainer: Kleanthis Koupidis <koupidis@okfn.gr>
URL: https://github.com/okgreece/DescriptiveStats.OBeu
BugReports: https://github.com/okgreece/DescriptiveStats.OBeu/issues
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: true
Imports: graphics, grDevices, jsonlite, RCurl, reshape, stats
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-17 17:10:24 UTC; Kleanthis-Okf
Repository: CRAN
Date/Publication: 2017-09-17 17:24:15 UTC

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New package SampleSize4ClinicalTrials with initial version 0.1.0
Package: SampleSize4ClinicalTrials
Type: Package
Title: Sample Size Calculation for Mean and Proportion Comparisons in Phase 3 Clinical Trials
Version: 0.1.0
Author: Hongchao Qi
Maintainer: Hongchao Qi <qhcisahero1992@sina.cn>
Description: The design of phase 3 clinical trials can be classified into 4 types: (1) Testing for equality;(2) Superiority trial;(3) Non-inferiority trial; and (4) Equivalence trial according to the goals. Given that none of the available packages combines these designs in a single package, this package has made it possible for researchers to calculate sample size when comparing means or proportions in phase 3 clinical trials with different designs. The ssc function can calculate the sample size with pre-specified type 1 error rate,statistical power and effect size according to the hypothesis testing framework. Furthermore, effect size is comprised of true treatment difference and non-inferiority or equivalence margins which can be set in ssc function. (Reference: Yin, G. (2012). Clinical Trial Design: Bayesian and Frequentist Adaptive Methods. John Wiley & Sons.)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Date: 2017-9-17
NeedsCompilation: no
Packaged: 2017-09-17 15:49:08 UTC; Qi-Hongchao
Repository: CRAN
Date/Publication: 2017-09-17 16:29:04 UTC

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New package randnet with initial version 0.1
Package: randnet
Type: Package
Title: Random Network Model Selection and Parameter Tuning
Version: 0.1
Date: 2017-09-13
Author: Tianxi Li, Elizaveta Levina, Ji Zhu
Maintainer: Tianxi Li <tianxili@umich.edu>
Description: Model selection and parameter tuning procedures for a class of random network models. The model selection can be done by a general cross-validation framework called ECV from Li et. al. (2016) <arXiv:1612.04717> . Several other model-based and task-specific methods are also included, such as NCV from Chen and Lei (2016) <arXiv:1411.1715>, likelihood ratio method from Wang and Bickel (2015) <arXiv:1502.02069>, spectral methods from Le and Levina (2015) <arXiv:1507.00827>. Many network analysis methods are also implemented, such as the regularized spectral clustering (Amini et. al. 2013 <doi:10.1214/13-AOS1138>) and its degree corrected version and graphon neighborhood smoothing (Zhang et. al. 2015 <arXiv:1509.08588>).
License: GPL (>= 2)
Depends: Matrix, entropy, AUC
Imports: methods, stats, poweRlaw, RSpectra, irlba
Packaged: 2017-09-16 21:55:42 UTC; tianxili
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-09-17 12:40:04 UTC

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New package odr with initial version 0.3.2
Package: odr
Type: Package
Title: Optimal Design and Statistical Power of Cost-Efficient Multilevel Randomized Trials
Version: 0.3.2
Authors@R: person("Zuchao", "Shen", email = "shenzo@mail.uc.edu", role = c("aut", "cre"))
Description: Calculate the optimal sample allocation that minimizes variance of treatment effect in a multilevel randomized trial under fixed budget and cost structure, perform power analyses with and without accommodating costs and budget. The reference for proposed methods is: Shen, Z., & Kelcey, B. (under review). Optimal design of cluster randomized trials under condition- and unit-specific cost structures. 2018 American Educational Research Association (AERA) annual conference.
Depends: R (>= 3.3.0), stats (>= 3.0.0), graphics (>= 3.0.0), base(>= 3.0.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, roxygen2, testthat
VignetteBuilder: rmarkdown, knitr
NeedsCompilation: no
Packaged: 2017-09-17 04:45:41 UTC; Zuchao
Author: Zuchao Shen [aut, cre]
Maintainer: Zuchao Shen <shenzo@mail.uc.edu>
Repository: CRAN
Date/Publication: 2017-09-17 12:44:26 UTC

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Sat, 16 Sep 2017

New package MsdeParEst with initial version 1.7
Package: MsdeParEst
Type: Package
Title: Parametric Estimation in Mixed-Effects Stochastic Differential Equations
Version: 1.7
Date: 2017-09-15
Authors@R: c(person(given="Maud", family="Delattre", role = c("aut","cre"), email = "maud.delattre@agroparistech.fr"), person(given="Charlotte", family="Dion", role = "aut") )
Description: Parametric estimation in stochastic differential equations with random effects in the drift, or in the diffusion or both. Approximate maximum likelihood methods are used. M. Delattre, V. Genon-Catalot and A. Samson (2012) <doi:10.1111/j.1467-9469.2012.00813.x> M. Delattre, V. Genon-Catalot and A. Samson (2015) <doi:10.1051/ps/2015006> M. Delattre, V. Genon-Catalot and A. Samson (2016) <doi:10.1016/j.jspi.2015.12.003>.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: MASS, sde, moments, mvtnorm, methods, graphics
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-15 16:48:37 UTC; mdelattre
Author: Maud Delattre [aut, cre], Charlotte Dion [aut]
Maintainer: Maud Delattre <maud.delattre@agroparistech.fr>
Repository: CRAN
Date/Publication: 2017-09-16 21:46:51 UTC

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New package EAinference with initial version 0.2.0
Package: EAinference
Type: Package
Title: Simulation Based Inference of Lasso Estimator
Version: 0.2.0
Authors@R: c(person("Seunghyun", "Min", email = "seunghyun@ucla.edu", role = c("aut", "cre")), person("Qing", "Zhou", email = "zhou@stat.ucla.edu", role = "aut"))
Maintainer: Seunghyun Min <seunghyun@ucla.edu>
Description: Estimator augmentation methods for statistical inference on high-dimensional data, as described in Zhou, Q. (2014) <doi:10.1080/01621459.2014.946035> and Zhou, Q. and Min, S. (2017) <doi:10.1214/17-EJS1309>. It provides several simulation-based inference methods: (a) Gaussian and wild multiplier bootstrap for lasso, group lasso, scaled lasso, scaled group lasso and their de-biased estimators, (b) importance sampler for approximating p-values in these methods, (c) Markov chain Monte Carlo lasso sampler with applications in post-selection inference.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2.3)
Imports: stats, graphics, msm, mvtnorm, parallel, limSolve, MASS, hdi, Rcpp
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-09-15 20:52:00 UTC; seunghyunmin
Author: Seunghyun Min [aut, cre], Qing Zhou [aut]
Repository: CRAN
Date/Publication: 2017-09-16 21:57:29 UTC

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New package civis with initial version 1.0.0
Package: civis
Title: R Client for the 'Civis data science API'
Version: 1.0.0
Authors@R: c( person("Patrick", "Miller", email = "pmiller@civisanalytics.com", role = c("cre", "aut")), person("Keith", "Ingersoll", email = "kingersoll@civisanalytics.com", role = "aut"), person("Bill", "Lattner", email = "wlattner@civisanalytics.com", role = "ctb"), person("Anh", "Le", email = "ale@civisanalytics.com", role = "ctb"), person("Michelangelo", "D'Agostino", email = "mdagostino@civisanalytics.com", role = "ctb"), person("Sam", "Weiss", email = "sweiss@civisanalytics.com", role = "ctb"), person("Danning", "Chen", email = "dchen@civisanalytics.com", role = "ctb"))
Description: A set of tools around common workflows and a convenient interface to make requests directly to the 'Civis data science API' <https://www.civisanalytics.com/platform/>.
Depends: R (>= 3.2.0)
License: BSD_3_clause + file LICENSE
LazyData: true
URL: https://github.com/civisanalytics/civis-r
BugReports: https://github.com/civisanalytics/civis-r/issues
Imports: httr, jsonlite, lazyeval, assertthat, purrr, methods, stats, roxygen2, DBI, dplyr (>= 0.7.0), dbplyr (>= 1.0.0), ggplot2, memoise, stringr, devtools, testthat, lubridate, uuid, utils
Suggests: knitr, rmarkdown, DBItest, mockery, R.utils
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Collate: 'await.R' 'civis_ml.R' 'civis_ml_plot.R' 'civis_ml_utils.R' 'civis_ml_workflows.R' 'client_base.R' 'dbi-driver.R' 'dbi-connection.R' 'dbi-result.R' 'dplyr.R' 'generate_client.R' 'generated_client.R' 'io.R' 'logs.R' 'pagination_helpers.R' 'reports.R' 'tables.R' 'utils.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2017-09-15 16:16:39 UTC; pmiller
Author: Patrick Miller [cre, aut], Keith Ingersoll [aut], Bill Lattner [ctb], Anh Le [ctb], Michelangelo D'Agostino [ctb], Sam Weiss [ctb], Danning Chen [ctb]
Maintainer: Patrick Miller <pmiller@civisanalytics.com>
Repository: CRAN
Date/Publication: 2017-09-16 21:39:39 UTC

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New package scorecard with initial version 0.1.0
Package: scorecard
Type: Package
Title: Credit Risk Scorecard
Version: 0.1.0
Author: Shichen Xie
Maintainer: Shichen Xie <xie@shichen.name>
Description: Makes the development of credit risk scorecard easily and efficiently by providing functions such as information value, variable filter, optimal woe binning, scorecard scaling and performance evaluation etc. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: data.table, ggplot2, gridExtra
NeedsCompilation: no
Packaged: 2017-09-16 06:55:40 UTC; shichenxie
Repository: CRAN
Date/Publication: 2017-09-16 20:09:35 UTC

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New package pinp with initial version 0.0.1
Package: pinp
Type: Package
Title: 'pinp' is not 'PNAS'
Version: 0.0.1
Date: 2017-09-15
Author: Dirk Eddelbuettel and James Balamuta
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Description: A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Sciences of the United States of America' (PNAS, see <https://www.pnas.org>) LaTeX style, and adapted for use with 'markdown' and 'pandoc'.
URL: http://dirk.eddelbuettel.com/code/pinp.html
BugReports: https://github.com/eddelbuettel/pinp/issues
Imports: rmarkdown, knitr
License: GPL-3
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-15 11:19:02 UTC; edd
Repository: CRAN
Date/Publication: 2017-09-16 19:39:51 UTC

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New package DES with initial version 1.0.0
Package: DES
Version: 1.0.0
Author: Norm Matloff <normmatloff@gmail.com>
Maintainer: Norm Matloff <normmatloff@gmail.com>
Date: 2017-9-13
Title: Discrete Event Simulation
Description: Discrete event simulation (DES) involves modeling of systems having discrete, i.e. abrupt, state changes. For instance, when a job arrives to a queue, the queue length abruptly increases by 1. This package is an R implementation of the event-oriented approach to DES; see the tutorial in Matloff (2008) <http://heather.cs.ucdavis.edu/~matloff/156/PLN/DESimIntro.pdf>.
Depends: stats,utils
Imports:
Suggests:
LazyLoad: no
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2017-09-14 19:21:34 UTC; matloff
Repository: CRAN
Date/Publication: 2017-09-16 20:11:57 UTC

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Fri, 15 Sep 2017

New package SCORPIUS with initial version 1.0
Package: SCORPIUS
Type: Package
Title: Inferring Developmental Chronologies from Single-Cell RNA Sequencing Data
Version: 1.0
Date: 2017-09-13
Description: An accurate and easy tool for performing trajectory inference on single cells using single-cell RNA sequencing data. In addition, SCORPIUS provides functions for discovering the most important genes with respect to the reconstructed trajectory, as well as nice visualisation tools. Cannoodt et al. (2016) <doi:10.1101/079509>.
Authors@R: c( person("Robrecht", "Cannoodt", email = "robrecht.cannoodt@gmail.com", role = c("aut", "cre")))
License: GPL-3
URL: http://github.com/rcannood/SCORPIUS
BugReports: https://github.com/rcannood/SCORPIUS/issues
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Depends: R (>= 3.0.0)
Imports: dplyr, fitdistrplus, grDevices, ggplot2 (>= 2.0), magrittr, MASS, mclust, Rcpp, pbapply, pheatmap, princurve, purrr, ranger, RColorBrewer, reshape2, splines, stats, testthat, tidyr, TSP, utils
Suggests: knitr, rmarkdown
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-09-15 15:14:05 UTC; rcannood
Author: Robrecht Cannoodt [aut, cre]
Maintainer: Robrecht Cannoodt <robrecht.cannoodt@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-15 15:46:32 UTC

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New package MFT with initial version 1.3
Package: MFT
Type: Package
Title: The Multiple Filter Test for Change Point Detection
Version: 1.3
Date: 2017-09-15
Author: Michael Messer, Stefan Albert, Solveig Plomer, Gaby Schneider
Maintainer: Michael Messer <messer@math.uni-frankfurt.de>
Description: Provides statistical tests and algorithms for the detection of change points in time series and point processes - particularly for changes in the mean in time series and for changes in the rate and in the variance in point processes. References - Michael Messer, Marietta Kirchner, Julia Schiemann, Jochen Roeper, Ralph Neininger and Gaby Schneider (2014) <doi:10.1214/14-AOAS782>, Stefan Albert, Michael Messer, Julia Schiemann, Jochen Roeper, Gaby Schneider (2017) <doi:10.1111/jtsa.12254>, Michael Messer, Kaue M. Costa, Jochen Roeper and Gaby Schneider (2017) <doi:10.1007/s10827-016-0635-3>.
License: GPL-3
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-15 15:05:13 UTC; messer
Repository: CRAN
Date/Publication: 2017-09-15 15:48:57 UTC

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New package linemap with initial version 0.1.0
Package: linemap
Type: Package
Title: Line Maps
Version: 0.1.0
Authors@R: c( person("Timothée", "Giraud", email = "timothee.giraud@cnrs.fr", role = c("cre","aut")))
Description: Create maps made of lines. The package contains two functions: linemap() and getgrid(). linemap() displays a map made of lines using a data frame of gridded data. getgrid() transforms a set of polygons (sf objects) into a suitable data frame for linemap().
Depends: R (>= 2.10)
Imports: graphics, sf, stats
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-15 14:54:24 UTC; tg
Author: Timothée Giraud [cre, aut]
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>
Repository: CRAN
Date/Publication: 2017-09-15 15:14:12 UTC

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New package fastrtext with initial version 0.2.0
Package: fastrtext
Type: Package
Title: 'fastText' Wrapper for Text Classification and Word Representation
Version: 0.2.0
Date: 2017-09-14
Authors@R: c(person("Michaël", "Benesty", role = c("aut", "cre"), email = "michael@benesty.fr"), person("Facebook, Inc", role = c("cph"), email = "bojanowski@fb.com"))
Maintainer: Michaël Benesty <michael@benesty.fr>
Description: 'fastText' is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It transforms text into continuous vectors that can later be used on many language related task. It works on standard, generic hardware (no 'GPU' required). It also includes model size reduction feature. 'fastText' original source code is available at <https://github.com/facebookresearch/fastText>.
URL: https://github.com/pommedeterresautee/fastrtext
BugReports: https://github.com/pommedeterresautee/fastrtext/issues
License: MIT + file LICENSE
Imports: methods, Rcpp (>= 0.12.12), assertthat
Suggests: knitr, testthat
LinkingTo: Rcpp
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2017-09-15 15:26:07 UTC; geantvert
Author: Michaël Benesty [aut, cre], Facebook, Inc [cph]
Repository: CRAN
Date/Publication: 2017-09-15 15:57:37 UTC

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New package websearchr with initial version 0.0.1
Package: websearchr
Title: Access Domains and Search Popular Websites
Version: 0.0.1
Authors@R: person("Florian Simon", "Schaffner", email = "schaffner.florian@gmail.com", role = c("aut", "cre"))
Description: Functions that allow for accessing domains and a number of search engines.
Depends: R (>= 3.4.1)
Imports: utils
Suggests: XML, RCurl
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/fschaff/websearchr
BugReports: https://github.com/fschaff/websearchr/issues
NeedsCompilation: no
Packaged: 2017-09-15 14:39:25 UTC; florianschaffner
Author: Florian Simon Schaffner [aut, cre]
Maintainer: Florian Simon Schaffner <schaffner.florian@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-15 14:46:52 UTC

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New package lime with initial version 0.3.0
Package: lime
Type: Package
Title: Local Interpretable Model-Agnostic Explanations
Version: 0.3.0
Date: 2017-09-14
Authors@R: c(person('Thomas Lin', 'Pedersen', role = c('cre', 'aut'), email = "thomasp85@gmail.com"), person('Michaël', 'Benesty', role = c('aut'), email = "michael@benesty.fr"))
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>
Description: When building complex models, it is often difficult to explain why the model should be trusted. While global measures such as accuracy are useful, they cannot be used for explaining why a model made a specific prediction. 'lime' (a port of the 'lime' 'Python' package) is a method for explaining the outcome of black box models by fitting a local model around the point in question an perturbations of this point. The approach is described in more detail in the article by Ribeiro et al. (2016) <arXiv:1602.04938>.
License: MIT + file LICENSE
URL: https://github.com/thomasp85/lime
BugReports: https://github.com/thomasp85/lime/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Imports: glmnet, stats, ggplot2, tools, stringi, Matrix, stringdist, Rcpp, assertthat, htmlwidgets, shiny, shinythemes
Suggests: xgboost, testthat, mlr, text2vec, MASS, covr, knitr, rmarkdown, devtools
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2017-09-15 12:04:03 UTC; thomas
Author: Thomas Lin Pedersen [cre, aut], Michaël Benesty [aut]
Repository: CRAN
Date/Publication: 2017-09-15 12:14:56 UTC

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New package gradientPickerD3 with initial version 0.1.0.0
Package: gradientPickerD3
Type: Package
Title: Interactive Color Gradient Picker Using 'htmlwidgets' and the Modified JS Script 'jquery-gradient-picker'
Version: 0.1.0.0
Authors@R: person("Christian D.","Peikert", email = "christian.peikert@biologie.uni-freiburg.de", role = c("aut", "cre"))
Maintainer: Christian D. Peikert <christian.peikert@biologie.uni-freiburg.de>
Description: Widget for an interactive selection and modification of a color gradient. 'gradientPickerD3' allows addition, removement and replacement of color ticks. List of numeric values will automatically translate in their corresponding tick position within the numeric range. App returns a data.frame containing tick values, colors and the positions in percent (0.0 to 1.0) for each color tick in the gradient. The original JS 'jquery-gradient-picker' was implemented by Matt Crinklaw-Vogt (nick: tantaman) <https://github.com/tantaman/>. Widget and JS modifications were done by CD. Peikert.
Depends: R (>= 3.3.1)
Imports: htmlwidgets, jsonlite, shiny
URL: https://github.com/peikert/gradientPickerD3
BugReports: https://github.com/peikert/gradientPickerD3/issues
LazyData: true
Encoding: UTF-8
License: GPL-3
Collate: 'gradientPickerD3.R' 'gradientPickerD3_example.R'
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-15 11:27:27 UTC; cpeikert
Author: Christian D. Peikert [aut, cre]
Repository: CRAN
Date/Publication: 2017-09-15 11:56:09 UTC

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New package CATTexact with initial version 0.1.0
Package: CATTexact
Type: Package
Title: Computation of the p-Value for the Exact Conditional Cochran-Armitage Trend Test
Version: 0.1.0
Authors@R: person("Dominic", "Edelmann", email = "dominic.edelmann@dkfz-heidelberg.de", role = c("aut", "cre"))
Description: Provides functions for computing the one-sided p-values of the Cochran-Armitage trend test statistic for the asymptotic and the exact conditional test. The computation of the p-value for the exact test is performed using an algorithm following an idea by Mehta, et al. (1992) <doi:10.2307/1390598>.
Depends: R (>= 3.4.1)
License: GPL-2 | GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-09-15 11:18:55 UTC; edelmand
Author: Dominic Edelmann [aut, cre]
Maintainer: Dominic Edelmann <dominic.edelmann@dkfz-heidelberg.de>
Repository: CRAN
Date/Publication: 2017-09-15 11:34:22 UTC

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New package veccompare with initial version 0.1.0
Package: veccompare
Type: Package
Title: Perform Set Operations on Vectors, Automatically Generating All n-Wise Comparisons, and Create Markdown Output
Version: 0.1.0
Date: 2017-09-13
Authors@R: c( person("Jacob Gerard", "Levernier", email = "jlevern@upenn.edu", role = c("aut", "cre"), comment = "Designed and authored the package source code and documentation. Roles: author, creator, designer, engineer, programmer"), # Additional MARC Relator roles: "dsr", "eng", "prg" person("Heather Gaile", "Wacha", email = "wacha2@wisc.edu", role = c("aut"), comment = "Provided intellectual overview and consultation during development for use with medieval cartographic datasets. Roles: conceptor, consultant, data contributor")) # Additional MARC Relator roles: "ccp", "csp", "dtc"
Maintainer: Jacob Gerard Levernier <jlevern@upenn.edu>
Description: Automates set operations (i.e., comparisons of overlap) between multiple vectors. It also contains a function for automating reporting in 'RMarkdown', by generating markdown output for easy analysis, as well as an 'RMarkdown' template for use with 'RStudio'.
License: BSD_3_clause + file LICENSE
URL: https://github.com/publicus/r-veccompare
BugReports: https://github.com/publicus/r-veccompare/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: corrplot, gtools, grid, pander, purrr, reshape2, qgraph, VennDiagram
Suggests: devtools, testthat
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-09-14 21:16:17 UTC; jacoblevernier
Author: Jacob Gerard Levernier [aut, cre] (Designed and authored the package source code and documentation. Roles: author, creator, designer, engineer, programmer), Heather Gaile Wacha [aut] (Provided intellectual overview and consultation during development for use with medieval cartographic datasets. Roles: conceptor, consultant, data contributor)
Repository: CRAN
Date/Publication: 2017-09-15 10:42:38 UTC

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New package utilsIPEA with initial version 0.0.1
Package: utilsIPEA
Type: Package
Title: IPEA Common Functions
Version: 0.0.1
Authors@R: c( person("Gustavo","Coelho", role=c("aut","cre"), email="gustavo.coelho@ipea.gov.br"), person("Lucas","Mation", role=c("aut"), email="lucas.mation@ipea.gov.br"), person("Daniel","Lima", role=c("ctb"), email="daniel.viegas@ipea.gov.br") )
Maintainer: Gustavo Coelho <gustavo.coelho@ipea.gov.br>
Description: The most used functions on IPEA (Instituto de Pesquisa Economica Aplicada). Most of functions deal with brazilian names. It can guess the women single's name, extract prepositions or extract the first name.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/ipea/utilsIPEA
BugReports: http://github.com/ipea/utilsIPEA/issues
Depends: R (>= 3.0)
Imports: data.table, stringr, utils
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-09-14 20:22:42 UTC; B15599226
Author: Gustavo Coelho [aut, cre], Lucas Mation [aut], Daniel Lima [ctb]
Repository: CRAN
Date/Publication: 2017-09-15 10:14:22 UTC

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New package gglasso with initial version 1.4
Package: gglasso
Title: Group Lasso Penalized Learning Using a Unified BMD Algorithm
Version: 1.4
Date: 2017-9-12
Author: Yi Yang <yi.yang6@mcgill.ca>, Hui Zou <hzou@stat.umn.edu>
Maintainer: Yi Yang <yi.yang6@mcgill.ca>
Description: A unified algorithm, blockwise-majorization-descent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM. The package is an implementation of Yang, Y. and Zou, H. (2015) DOI: <doi:10.1007/s11222-014-9498-5>.
License: GPL-2
Imports: methods
URL: https://github.com/emeryyi/gglasso
Packaged: 2017-09-15 01:58:29 UTC; yiyang
Repository: CRAN
Date/Publication: 2017-09-15 07:43:21 UTC
NeedsCompilation: yes

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New package fastcox with initial version 1.1.3
Package: fastcox
Title: Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm
Version: 1.1.3
Date: 2017-09-12
Author: Yi Yang <yi.yang6@mcgill.ca>, Hui Zou <hzou@stat.umn.edu>
Maintainer: Yi Yang <yi.yang6@mcgill.ca>
Imports: Matrix, methods
Description: We implement a cocktail algorithm, a good mixture of coordinate decent, the majorization-minimization principle and the strong rule, for computing the solution paths of the elastic net penalized Cox's proportional hazards model. The package is an implementation of Yang, Y. and Zou, H. (2013) DOI: <doi:10.4310/SII.2013.v6.n2.a1>.
License: GPL-2
URL: https://github.com/emeryyi/fastcox
Packaged: 2017-09-15 01:58:31 UTC; yiyang
Repository: CRAN
Date/Publication: 2017-09-15 07:43:20 UTC
NeedsCompilation: yes

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Thu, 14 Sep 2017

New package perccalc with initial version 1.0.0
Package: perccalc
Title: Estimate Percentiles from an Ordered Categorical Variable
Version: 1.0.0
Authors@R: person("Jorge", "Cimentada", email = "cimentadaj@gmail.com", role = c("aut", "cre"))
Description: An implementation of two functions that estimate values for percentiles from an ordered categorical variable as described by Reardon (2011, isbn:978-0-87154-372-1). One function estimates percentile differences from two percentiles while the other returns the values for every percentile from 1 to 100.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: magrittr, dplyr, purrr, stats, tibble, broom, tidyr, multcomp, haven, tidyverse, ggplot2, devtools, MASS
Suggests: spelling, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-14 17:40:11 UTC; cimentadaj
Author: Jorge Cimentada [aut, cre]
Maintainer: Jorge Cimentada <cimentadaj@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-14 17:47:40 UTC

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New package glassdoor with initial version 0.7.6
Type: Package
Package: glassdoor
Title: Interface to 'Glassdoor' API
Version: 0.7.6
Authors@R: person(given = "John", family = "Muschelli", role = c("aut", "cre"), email = "muschellij2@gmail.com")
Maintainer: John Muschelli <muschellij2@gmail.com>
Description: Interacts with the 'Glassdoor' API <https://www.glassdoor.com/developer/index.htm>. Allows the user to search job statistics, employer statistics, and job progression, where 'Glassdoor' provides a breakdown of other jobs a person did after their current one.
License: GPL-2
BugReports: https://github.com/muschellij2/glassdoor/issues
Imports: httr, xml2
Suggests: covr, knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
Depends: R (>= 3.1)
NeedsCompilation: no
Packaged: 2017-09-14 17:42:26 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Repository: CRAN
Date/Publication: 2017-09-14 17:53:05 UTC

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New package ggridges with initial version 0.4.0
Package: ggridges
Type: Package
Title: Ridgeline Plots in 'ggplot2'
Version: 0.4.0
Authors@R: c( person("Claus O.", "Wilke", , "wilke@austin.utexas.edu", c("cre", "aut")), person("RStudio", role = c("cph"), comment = "Copyright for ggplot2 code copied to ggridges"))
Description: Ridgeline plots provide a convenient way of visualizing changes in distributions over time or space. This package enables the creation of such plots in 'ggplot2'.
URL: https://github.com/clauswilke/ggridges
Depends: R (>= 3.2), ggplot2 (>= 2.2.0),
Imports: grid (>= 3.0.0), plyr (>= 1.8.0), scales (>= 0.4.1)
License: GPL-2 | file LICENSE
LazyData: true
Suggests: covr, gridExtra, ggplot2movies, forcats, knitr, tidyverse, testthat, vdiffr, viridis
VignetteBuilder: knitr
Collate: 'data.R' 'ggridges.R' 'geoms.R' 'geomsv.R' 'geoms-gradient.R' 'scale-cyclical.R' 'stats.R' 'theme.R' 'utils_ggplot2.R' 'utils.R'
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-14 14:40:19 UTC; wilke
Author: Claus O. Wilke [cre, aut], RStudio [cph] (Copyright for ggplot2 code copied to ggridges)
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2017-09-14 17:25:12 UTC

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New package spatstat.data with initial version 1.0-1
Package: spatstat.data
Version: 1.0-1
Date: 2017-09-13
Title: Datasets for 'spatstat'
Authors@R: c(person("Adrian", "Baddeley", role = c("aut", "cre"), email = "Adrian.Baddeley@curtin.edu.au"), person("Rolf", "Turner", role = "aut", email="r.turner@auckland.ac.nz"), person("Ege", "Rubak", role = "aut", email = "rubak@math.aau.dk"))
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Depends: R (>= 3.3.0)
Suggests: spatstat
Description: Contains all the datasets for the 'spatstat' package.
License: GPL (>= 2)
URL: http://www.spatstat.org
LazyData: true
NeedsCompilation: no
ByteCompile: false
BugReports: https://github.com/spatstat/spatstat.data/issues
Packaged: 2017-09-13 16:05:26 UTC; adrian
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut]
Repository: CRAN
Date/Publication: 2017-09-14 15:18:17 UTC

More information about spatstat.data at CRAN
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New package spectrolab with initial version 0.0.2
Package: spectrolab
Type: Package
Title: Class and Methods for Hyperspectral Data
Version: 0.0.2
Date: 2017-08-19
Authors@R: c(person("Jose Eduardo", "Meireles", email = "meireles@umn.edu", role = c("aut", "cre")), person("Anna K.", "Schweiger", email = "anna.k.schweiger@gmail.com", role = "aut"), person("Jeannine", "Cavender-Bares", email = "cavender@umn.edu", role = "aut") )
Description: Input/Output, processing and visualization of spectra from field spectrometer vendors, including SVC (Spectra Vista), ASD and PSR (Spectral Evolution). Implements an S3 class 'spectra' that other packages can build on. Provides methods to access, plot, manipulate, splice sensor overlap, vector normalize and smooth spectra.
License: GPL-3
URL: https://github.com/annakat/spectrolab
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Depends: R (>= 3.4)
Suggests: knitr (>= 1.16), rmarkdown (>= 1.5), testthat (>= 1.0.2), parallel (>= 1.13.1)
VignetteBuilder: knitr
Imports: prospectr (>= 0.1.3), shiny (>= 1.0.3), grDevices, RColorBrewer (>= 1.1-2), devtools (>= 1.13.3), shinyjs (>= 0.9.1)
NeedsCompilation: no
Packaged: 2017-09-14 03:03:47 UTC; meireles
Author: Jose Eduardo Meireles [aut, cre], Anna K. Schweiger [aut], Jeannine Cavender-Bares [aut]
Maintainer: Jose Eduardo Meireles <meireles@umn.edu>
Repository: CRAN
Date/Publication: 2017-09-14 13:23:42 UTC

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Wed, 13 Sep 2017

New package PSTR with initial version 1.0.1
Package: PSTR
Type: Package
Title: Panel Smooth Transition Regression Modelling
Version: 1.0.1
Authors@R: person("Yukai", "Yang", email = "yukai.yang@statistik.uu.se",role = c("aut", "cre"))
Description: Provides the Panel Smooth Transition Regression (PSTR) modelling. The modelling procedure consists of three stages: Specification, Estimation and Evaluation. The package offers sharp tools helping the package user(s) to conduct model specification tests, to do PSTR model estimation, and to do model evaluation. The tests implemented in the package allow for cluster-dependency and are heteroskedasticity-consistent. The wild bootstrap and wild cluster bootstrap tests are also implemented. Parallel computation (as an option) is implemented in some functions, especially the bootstrap tests. The package suits tasks running many cores on super-computation servers.
Depends: R (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: tibble, snowfall
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2017-09-13 11:46:30 UTC; yyang
Author: Yukai Yang [aut, cre]
Maintainer: Yukai Yang <yukai.yang@statistik.uu.se>
Repository: CRAN
Date/Publication: 2017-09-13 17:34:48 UTC

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New package ADPF with initial version 0.0.1
Package: ADPF
Title: Use Least Squares Polynomial Regression and Statistical Testing to Improve Savitzky-Golay
Version: 0.0.1
Authors@R: c( person("Phillip", "Barak", email = "phillip.barak@wisc.edu", role = "aut"), person("Samuel", "Kruse", email = "samdkruse@gmail.com", role = c("cre","aut")))
Maintainer: Samuel Kruse <samdkruse@gmail.com>
Description: This function takes a vector or matrix of data and smooths the data with an improved Savitzky Golay transform. The Savitzky-Golay method for data smoothing and differentiation calculates convolution weights using Gram polynomials that exactly reproduce the results of least-squares polynomial regression. Use of the Savitzky-Golay method requires specification of both filter length and polynomial degree to calculate convolution weights. For maximum smoothing of statistical noise in data, polynomials with low degrees are desirable, while a high polynomial degree is necessary for accurate reproduction of peaks in the data. Extension of the least-squares regression formalism with statistical testing of additional terms of polynomial degree to a heuristically chosen minimum for each data window leads to an adaptive-degree polynomial filter (ADPF). Based on noise reduction for data that consist of pure noise and on signal reproduction for data that is purely signal, ADPF performed nearly as well as the optimally chosen fixed-degree Savitzky-Golay filter and outperformed sub-optimally chosen Savitzky-Golay filters. For synthetic data consisting of noise and signal, ADPF outperformed both optimally chosen and sub-optimally chosen fixed-degree Savitzky-Golay filters. See Barak, P. (1995) <doi:10.1021/ac00113a006> for more information.
Depends: R (>= 3.2.4), stats, utils
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-13 08:59:55 UTC; Administrator
Author: Phillip Barak [aut], Samuel Kruse [cre, aut]
Repository: CRAN
Date/Publication: 2017-09-13 17:50:51 UTC

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New package AurieLSHGaussian with initial version 0.1.0
Package: AurieLSHGaussian
Type: Package
Title: Creates a Neighbourhood Using Locality Sensitive Hashing for Gaussian Projections
Version: 0.1.0
Author: Aritra Banerjee
Maintainer: Aritra Banerjee <aritra306@gmail.com>
Description: Uses locality sensitive hashing and creates a neighbourhood graph for a data set and calculates the adjusted rank index value for the same. It uses Gaussian random planes to decide the nature of a given point. Datar, Mayur, Nicole Immorlica, Piotr Indyk, and Vahab S. Mirrokni(2004) <doi:10.1145/997817.997857>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: flexclust, igraph, stringdist, reshape2, lsa
Imports: stats
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-12 19:07:48 UTC; User
Repository: CRAN
Date/Publication: 2017-09-13 08:27:17 UTC

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Tue, 12 Sep 2017

New package CreditRisk with initial version 0.1.0
Package: CreditRisk
Type: Package
Title: Evaluation of Credit Risk with Structural and Reduced Form Models
Version: 0.1.0
Date: 2017-09-01
Author: Alessandro Cimarelli <alessandro.cimarelli@icloud.com> [anl, aut, cre] Nicolò Manca <n.manca1992@gmail.com> [anl, aut, cre]
Maintainer: Alessandro Cimarelli <alessandro.cimarelli@icloud.com>
Description: Evaluation of default probability of sovereign and corporate entities based on structural or intensity based models and calibration on market Credit Default Swap quotes. Damiano Brigo, Massimo Morini, Andrea Pallavicini (2013): "Counterparty Credit Risk, Collateral and Funding. With Pricing Cases for All Asset Classes".
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: fOptions, stats
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-09-12 15:48:29 UTC; amministratore
Repository: CRAN
Date/Publication: 2017-09-12 18:06:03 UTC

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New package unifDAG with initial version 1.0.1
Package: unifDAG
Type: Package
Title: Uniform Sampling of Directed Acyclic Graphs
Version: 1.0.1
Date: 2017-09-12
Maintainer: Markus Kalisch <kalisch@stat.math.ethz.ch>
Authors@R: c(person("Markus","Kalisch", email="kalisch@stat.math.ethz.ch", role=c("aut","cre")), person("Manuel", "Schuerch", role="ctb"))
Author: Markus Kalisch [aut, cre], Manuel Schuerch [ctb]
Description: Uniform sampling of Directed Acyclic Graphs (DAG) using exact enumeration by relating each DAG to a sequence of outpoints (nodes with no incoming edges) and then to a composition of integers as suggested by Kuipers, J. and Moffa, G. (2015) <doi:10.1007/s11222-013-9428-y>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: graph, gmp, stats, methods
Suggests: Rgraphviz, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-12 09:45:57 UTC; kalischm
Repository: CRAN
Date/Publication: 2017-09-12 17:35:51 UTC

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New package sylly with initial version 0.1-2
Package: sylly
Type: Package
Title: Hyphenation and Syllable Counting for Text Analysis
Depends: R (>= 3.0.0)
Imports: methods
Suggests: testthat
Description: Provides the hyphenation algorithm used for 'TeX'/'LaTeX' and similar software, as proposed by Liang (1983, <https://tug.org/docs/liang/>). Mainly contains the function hyphen() to be used for hyphenation/syllable counting of text objects. It was originally developed for and part of the 'koRpus' package, but later released as a separate package so it's lighter to have this particular functionality available for other packages. Support for various languages needs be added on-the-fly or by plugin packages; this package does not include any language specific data. Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, request features, or discuss the development of the package, please subscribe to the koRpus-dev mailing list (<http://korpusml.reaktanz.de>).
License: GPL (>= 3)
Encoding: UTF-8
LazyLoad: yes
URL: https://reaktanz.de/?c=hacking&s=koRpus
BugReports: https://github.com/unDocUMeantIt/sylly/issues
Authors@R: c(person(given="Meik", family="Michalke", email="meik.michalke@hhu.de", role=c("aut", "cre")))
Version: 0.1-2
Date: 2017-09-12
Collate: '00_environment.R' '01_class_01_kRp.hyph.pat.R' '01_class_02_kRp.hyphen.R' '02_method_correct.R' '02_method_hyphen.R' '02_method_kRp.hyphen.R' '02_method_show.kRp.hyphen.R' '02_method_summary.kRp.hyphen.R' 'get.sylly.env.R' 'manage.hyph.pat.R' 'read.hyph.pat.R' 'set.hyph.support.R' 'set.sylly.env.R' 'sylly-internal.R' 'sylly-internal_langpack_generator.R' 'sylly-package.R'
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-12 11:02:16 UTC; m
Author: Meik Michalke [aut, cre]
Maintainer: Meik Michalke <meik.michalke@hhu.de>
Repository: CRAN
Date/Publication: 2017-09-12 17:33:13 UTC

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New package medmod with initial version 1.0.0
Package: medmod
Type: Package
Title: Simple Mediation and Moderation Analysis
Version: 1.0.0
Date: 2017-09-12
Author: Ravi Selker
Maintainer: Ravi Selker <selker.ravi@gmail.com>
Description: This toolbox allows you to do simple mediation and moderation analysis. It is also available as a module for 'jamovi' (see <https://www.jamovi.org> for more information). 'Medmod' is based on the 'lavaan' package by Yves Rosseel. You can find an in depth tutorial on the 'lavaan' model syntax used for this package on <http://lavaan.ugent.be/tutorial/index.html>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2)
Imports: jmvcore (>= 0.5.5), R6, lavaan, ggplot2
Suggests: testthat
RoxygenNote: 6.0.1
URL: https://github.com/raviselker/medmod
BugReports: https://github.com/raviselker/medmod/issues
NeedsCompilation: no
Packaged: 2017-09-12 09:53:06 UTC; ravi
Repository: CRAN
Date/Publication: 2017-09-12 17:39:11 UTC

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New package egg with initial version 0.2.0
Package: egg
Type: Package
Title: Extensions for 'ggplot2', to Align Plots, and Set Panel Sizes
Version: 0.2.0
Authors@R: c(person("Baptiste", "Auguie", email = "baptiste.auguie@gmail.com", role = c("aut", "cre")))
License: GPL-3
Description: Miscellaneous functions to help customise 'ggplot2' objects. High-level functions are provided to post-process 'ggplot2' layouts and allow alignment between plot panels, as well as setting panel sizes to fixed values.
VignetteBuilder: knitr
Depends: gridExtra (>= 2.3), ggplot2
Imports: gtable, grid, grDevices, stats, utils
Suggests: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-11 19:20:05 UTC; baptiste
Author: Baptiste Auguie [aut, cre]
Maintainer: Baptiste Auguie <baptiste.auguie@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-12 17:17:43 UTC

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New package DCD with initial version 0.1.0
Package: DCD
Type: Package
Title: Differential Community Detection in Paired Biological Networks
Version: 0.1.0
Author: Raghvendra Mall [aut, cre], Khalid Kunji [ctb], Michele Ceccarelli [ctb]
Maintainer: Raghvendra Mall <rmall@hbku.edu.qa>
Authors@R: c(person(given = "Raghvendra", family = "Mall",role = c("aut","cre"), email = "rmall@hbku.edu.qa"), person(given="Khalid",family="Kunji",role="ctb"), person(given="Michele",family="Ceccarelli",role="ctb"))
Description: A differential community detection (DCD) based approach to effectively locate differential sub-networks in paired scale-free biological networks, e.g. case vs control - Raghvendra Mall et al (2017) <doi:10.1145/3107411.3107418>.
License: GPL
URL: https://www.r-project.org, http://dl.acm.org/citation.cfm?id=3107418
Imports: Rdpack, data.table, igraph, ggplot2, ROCR, lsa, Matrix, lattice, WGCNA, qlcMatrix, foreach, plyr, doParallel
Depends: R (>= 3.4.0)
Encoding: UTF-8
LazyData: true
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2017-09-12 15:49:28 UTC; rmall
Repository: CRAN
Date/Publication: 2017-09-12 17:43:07 UTC

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New package auto.pca with initial version 0.3
Package: auto.pca
Type: Package
Version: 0.3
Title: Automatic Variable Reduction Using Principal Component Analysis
Date: 2017-09-03
Author: Navinkumar Nedunchezhian
Maintainer: Navinkumar Nedunchezhian <navinkumar.nedunchezhian@gmail.com>
Description: PCA done by eigenvalue decomposition of a data correlation matrix, here it automatically determines the number of factors by eigenvalue greater than 1 and it gives the uncorrelated variables based on the rotated component scores, Such that in each principal component variable which has the high variance are selected. It will be useful for non-statisticians in selection of variables. For more information, see the <http://www.ijcem.org/papers032013/ijcem_032013_06.pdf> web page.
License: GPL-2
LazyData: TRUE
Imports: psych,plyr
Suggests: knitr
NeedsCompilation: no
Packaged: 2017-09-12 02:08:08 UTC; NSD
Repository: CRAN
Date/Publication: 2017-09-12 09:24:21 UTC

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Mon, 11 Sep 2017

New package liftLRD with initial version 1.0-6
Package: liftLRD
Type: Package
Title: Wavelet Lifting Estimators of the Hurst Exponent for Regularly and Irregularly Sampled Time Series
Version: 1.0-6
Date: 2017-09-03
Author: Marina Knight [aut], Guy Nason [ctb], Matt Nunes [aut, cre]
Authors@R: c(person("Marina", "Knight", role="aut"), person("Guy","Nason",role="ctb"), person("Matt", "Nunes", role=c("aut","cre"),email="m.nunes@lancaster.ac.uk"))
Maintainer: Matt Nunes <m.nunes@lancaster.ac.uk>
Description: Implementations of Hurst exponent estimators based on the relationship between wavelet lifting scales and wavelet energy.
License: GPL-2
Depends: adlift, nlt
Suggests: fracdiff
NeedsCompilation: no
Packaged: 2017-09-03 13:05:51 UTC; nunes
Repository: CRAN
Date/Publication: 2017-09-11 20:15:21 UTC

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New package xtensor with initial version 0.1.0-0
Package: xtensor
Type: Package
Title: Headers for the 'xtensor' Library
Version: 0.1.0-0
Author: Johan Mabille, Sylvain Corlay and Wolf Vollprecht
Maintainer: Sylvain Corlay <sylvain.corlay@gmail.com>
Description: The 'xtensor' C++ library for numerical analysis with multi-dimensional array expressions is provided as a header-only C++14 library. It offers an extensible expression system enabling lazy broadcasting; an API following the idioms of the C++ standard library; and tools to manipulate array expressions and build upon 'xtensor'.
URL: https://github.com/QuantStack/xtensor
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: Rcpp
LinkingTo: Rcpp
LazyData: true
NeedsCompilation: yes
Packaged: 2017-09-11 14:28:53 UTC; sylvain
Repository: CRAN
Date/Publication: 2017-09-11 17:08:45 UTC

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New package sutteForecastR with initial version 0.1
Package: sutteForecastR
Version: 0.1
Date: 2017-09-08
Imports: forecast, fracdiff, robets, forecastHybrid
Title: Forecasting Data using Alpha-Sutte Indicator
Authors@R: c(person("Ansari Saleh", "Ahmar", role = c("aut", "cre"), email = "ansarisaleh@unm.ac.id"))
Author: Ansari Saleh Ahmar [aut, cre]
Maintainer: Ansari Saleh Ahmar <ansarisaleh@unm.ac.id>
Depends: R (>= 3.0.0)
Description: The alpha-Sutte indicator (alpha-Sutte) was originally from developed of Sutte indicator. Sutte indicator can using to predict the movement of stocks. As the development of science, then Sutte indicator developed to predict not only the movement of stocks but also can forecast data on financial, insurance, and others time series data. Ahmar, A.S. (2017) <doi:10.17605/osf.io/rknsv>.
License: GPL (>= 2)
URL: https://www.r-project.org, http://www.ansarisaleh.web.id
NeedsCompilation: no
Packaged: 2017-09-11 12:15:20 UTC; sutte
Repository: CRAN
Date/Publication: 2017-09-11 12:28:28 UTC

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New package powerlmm with initial version 0.1.0
Package: powerlmm
Type: Package
Title: Power Calculations for Longitudinal Multilevel Models
Version: 0.1.0
Authors@R: person("Kristoffer", "Magnusson", email = "hello@kristoffer.email", role = c("aut", "cre"))
Description: Calculate power for two- and three-level multilevel longitudinal studies with missing data. Both the third-level factor (e.g. therapists, schools, or physicians), and the second-level factor (e.g. subjects), can be assigned random slopes. Studies with partially nested designs, unequal cluster sizes, unequal allocation to treatment arms, and different dropout patterns per treatment are supported. For all designs power can be calculated both analytically and via simulations. The analytical calculations extends the method described in Galbraith et al. (2002) <doi:10.1016/S0197-2456(02)00205-2>, to three-level models. Additionally, the simulation tools provides flexible ways to investigate bias, type I errors and the consequences of model misspecification.
License: GPL (>= 3)
URL: https://github.com/rpsychologist/powerlmm
BugReports: https://github.com/rpsychologist/powerlmm/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Depends: R (>= 3.2.0)
Imports: stats, lmerTest (>= 2.0), lme4 (>= 1.1), ggplot2 (>= 2.2), ggsci, pbmcapply (>= 1.1), Matrix, MASS, gridExtra, scales, utils, testthat
Suggests: dplyr, tidyr, knitr, rmarkdown, viridis, shiny (>= 1.0), shinydashboard
ByteCompile: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-11 10:34:51 UTC; kris
Author: Kristoffer Magnusson [aut, cre]
Maintainer: Kristoffer Magnusson <hello@kristoffer.email>
Repository: CRAN
Date/Publication: 2017-09-11 11:43:54 UTC

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New package mclustcomp with initial version 0.1.0
Package: mclustcomp
Type: Package
Title: Measures for Comparing Clusters
Version: 0.1.0
Authors@R: person("Kisung", "You", email = "kyou@nd.edu", role = c("aut", "cre"))
Description: Given a set of data points, a clustering is defined as a disjoint partition where each pair of sets in a partition has no overlapping elements. This package provides a collection of methods that play a role somewhat similar to distance or metric that measures similarity of two clusterings - or partitions. For a more detailed description, see Meila, M. (2005) <doi:10.1145/1102351.1102424>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.12)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-09-11 09:46:56 UTC; kisung
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kyou@nd.edu>
Repository: CRAN
Date/Publication: 2017-09-11 11:57:26 UTC

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New package opendotaR with initial version 0.1.4
Package: opendotaR
Type: Package
Title: Interface for OpenDota API
Version: 0.1.4
Author: Kari Gunnarsson
Maintainer: Kari Gunnarsson <kari.gunnarsson@outlook.com>
Description: Enables the usage of the OpenDota API from <https://www.opendota.com/>, get game lists, and download JSON's of parsed replays from the OpenDota API. Also has functionality to execute own code to extract the specific parts of the JSON file.
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: jsonlite, dplyr, lubridate
NeedsCompilation: no
Packaged: 2017-09-09 19:59:51 UTC; Kari
Repository: CRAN
Date/Publication: 2017-09-11 07:39:36 UTC

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New package BMhyb with initial version 1.5.1
Package: BMhyb
Version: 1.5.1
Date: 2017-08-28
Type: Package
Title: Hybrid Trait Evolution under Brownian Motion
Author: Dwueng-Chwuan Jhwueng <djhwueng@umail.iu.edu> and Brian O'Meara <omeara.brian@gmail.com>
Maintainer: Dwueng-Chwuan Jhwueng <djhwueng@umail.iu.edu>
Imports: corpcor, numDeriv, geiger, ape, TreeSim, phytools, phylobase, mvtnorm, grDevices, graphics, methods, stats, lhs, viridis, Matrix, DEoptim
Suggests: testthat
Description: Analyzes the phenotypic evolution of species of hybrid origin on a phylogenetic network. This package can detect the hybrid vigor effect, a burst of variation at formation, and the relative portion of heritability from its parents. Parameters are estimated by maximum likelihood. Users need to enter a comparative data set, a phylogeny, and information on gene flow leading to hybrids. See Jhwueng and O'Meara (2017) <DOI:10.1101/023986>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-09-09 21:59:44 UTC; djhwueng
Repository: CRAN
Date/Publication: 2017-09-11 07:40:39 UTC

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Sat, 09 Sep 2017

New package metaforest with initial version 0.1.0
Package: metaforest
Type: Package
Title: Exploring Heterogeneity in Meta-Analysis using Random Forests
Version: 0.1.0
Author: Caspar J. van Lissa
Maintainer: Caspar J. van Lissa <c.j.vanlissa@gmail.com>
Description: A requirement of classic meta-analysis is that the studies being aggregated are conceptually similar, and ideally, close replications. However, in many fields, there is substantial heterogeneity between studies on the same topic. Similar research questions are studied in different laboratories, using different methods, instruments, and samples. Classic meta-analysis lacks the power to assess more than a handful of univariate moderators, or to investigate interactions between moderators, and non-linear effects. MetaForest, by contrast, has substantial power to explore heterogeneity in meta-analysis. It can identify important moderators from a larger set of potential candidates, even with as little as 20 studies (Van Lissa, in preparation). This is an appealing quality, because many meta-analyses have small sample sizes. Moreover, MetaForest yields a measure of variable importance which can be used to identify important moderators, and offers partial prediction plots to explore the shape of the marginal relationship between moderators and effect size.
Depends: R (>= 3.4.1), edarf, ggplot2, metafor, ranger, reshape2
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-09 15:33:10 UTC; Caspar
Repository: CRAN
Date/Publication: 2017-09-09 16:58:40 UTC

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New package keyring with initial version 1.0.0
Package: keyring
Title: Access the System Credential Store from R
Version: 1.0.0
Authors@R: c(person(given = "Gábor", family = "Csárdi", role = c("aut", "cre"), email = "csardi.gabor@gmail.com"), person("RStudio", role = "cph"))
Description: Platform independent 'API' to access the operating system's credential store. Currently supports: 'Keychain' on 'macOS', Credential Store on 'Windows', the Secret Service 'API' on 'Linux', and a simple, platform independent store implemented with environment variables. Additional storage back-ends can be added easily.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/r-lib/keyring#readme
BugReports: https://github.com/r-lib/keyring/issues
RoxygenNote: 6.0.1
Imports: assertthat, getPass, openssl, R6, utils
Suggests: covr, mockery, testthat, withr
Encoding: UTF-8
SystemRequirements: libsecret on Linux (libsecret-1-dev on Debian/Ubuntu, libsecret-devel on Fedora/CentOS)
Collate: 'api.R' 'assertions.R' 'backend-class.R' 'backend-env.R' 'backend-macos.R' 'backend-secret-service.R' 'backend-wincred.R' 'default_backend.R' 'package.R' 'pass.R' 'utils.R'
NeedsCompilation: yes
Packaged: 2017-09-09 10:03:47 UTC; gaborcsardi
Author: Gábor Csárdi [aut, cre], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-09 15:18:36 UTC

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Fri, 08 Sep 2017

New package repurrrsive with initial version 0.1.0
Package: repurrrsive
Title: Examples of Recursive Lists and Nested or Split Data Frames
Version: 0.1.0
Authors@R: c( person("Jennifer", "Bryan", role=c("aut", "cre"), email = "jenny@rstudio.com"), person("Charlotte", "Wickham", role = "ctb", email = "cwickham@gmail.com"))
Description: Recursive lists in the form of R objects, 'JSON', and 'XML', for use in teaching and examples. Examples include color palettes, Game of Thrones characters, 'GitHub' users and repositories, and entities from the Star Wars universe. Data from the 'gapminder' package is also included, as a simple data frame and in nested and split forms.
Depends: R (>= 2.10)
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: gapminder, jsonlite, purrr, rprojroot, testthat, wesanderson, xml2
URL: https://github.com/jennybc/repurrrsive
BugReports: https://github.com/jennybc/repurrrsive/issues
Imports: tibble, utils
NeedsCompilation: no
Packaged: 2017-09-08 15:07:55 UTC; jenny
Author: Jennifer Bryan [aut, cre], Charlotte Wickham [ctb]
Maintainer: Jennifer Bryan <jenny@rstudio.com>
Repository: CRAN
Date/Publication: 2017-09-08 17:21:59 UTC

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New package distrr with initial version 0.0.4
Package: distrr
Title: Estimate and Manage Empirical Distributions
Description: Tools to estimate and manage empirical distributions, which should work with survey data. One of the main features is the possibility to create data cubes of estimated statistics, that include all the combinations of the variables of interest (see for example functions dcc5() and dcc6()).
Depends: R (>= 3.1.2)
Imports: magrittr (>= 1.5), dplyr (>= 0.5.0), lazyeval (>= 0.1.10), utils, stats, tidyr (>= 0.3.0)
Version: 0.0.4
License: GPL-2
Author: Sandro Petrillo Burri <gibo.gaf@gmail.com>
Maintainer: Sandro Petrillo Burri <gibo.gaf@gmail.com>
RoxygenNote: 6.0.1
Encoding: UTF-8
LazyData: yes
Collate: "distrr.R" "invented_data.R" "gibutils.R" "jointfuns.R" "Fhat_conditional.R" "distrr_funs.R" "dcc_new.R" "wq_df.R"
NeedsCompilation: no
Packaged: 2017-09-08 09:27:23 UTC; gibo
Repository: CRAN
Date/Publication: 2017-09-08 13:10:00 UTC

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