Sun, 28 May 2017

New package ElastH with initial version 0.3
Package: ElastH
Type: Package
Title: Replicar metodologia de SPE/MF para calculo de elasticidade de receita
Imports: dlm
Suggests: testthat
Version: 0.3
Date: 2017-05-24
Authors@R: person("Caio", "Figueiredo", email="caio.figueiredo@fazenda.gov.br", role=c("aut", "cre"))
Description: O pacote desponibiliza funções para estimar modelos de componentes não observados e determinar intervenções automaticamente. Com especial atenção para a replicação dos modelos utilizados na metodologia de calculo do resultado estrutural da SPE/MF / The package provides simple ways to estimates general unobserved components models and automatically detects intervenctions. It is specially useful to replicate Brazilian Ministry of Finance methodology to estimate income-output gap elasticities.
License: GPL
RoxygenNote: 5.0.1
Encoding: UTF-8
Language: pt_BR
NeedsCompilation: no
Packaged: 2017-05-27 23:21:19 UTC; caio
Author: Caio Figueiredo [aut, cre]
Maintainer: Caio Figueiredo <caio.figueiredo@fazenda.gov.br>
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2017-05-28 19:11:53 UTC

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New package rODE with initial version 0.99.4
Package: rODE
Type: Package
Title: Ordinary Differential Equation (ODE) Solvers Written in R Using S4 Classes
Version: 0.99.4
Author: Alfonso R. Reyes <alfonso.reyes@oilgainsanalytics.com>
Maintainer: Alfonso R. Reyes <alfonso.reyes@oilgainsanalytics.com>
Description: Show Physics and engineering students how an ODE solver is made and how effective classes can be for the construction of the equations that describe how effective classes can be for the construction of equations that describe the natural phenomena. Most of the ideas come from the book on "Computer Simulations in Physics" by Harvey Gould, Jan Tobochnik, and Wolfgang Christian. Book link: <http://www.compadre.org/osp/items/detail.cfm?ID=7375>.
Depends: R (>= 3.3.0)
License: GPL-2
Encoding: UTF-8
Imports: methods, data.table
LazyData: true
Suggests: knitr, testthat, rmarkdown, ggplot2, dplyr, tidyr
RoxygenNote: 6.0.1
Collate: 'ode_generics.R' 'ODESolver.R' 'ODE.R' 'AbstractODESolver.R' 'ODEAdaptiveSolver.R' 'DormandPrince45.R' 'Euler.R' 'EulerRichardson.R' 'RK4.R' 'RK45.R' 'Verlet.R' 'rODE-package.r' 'utils.R'
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-27 17:24:51 UTC; msfz751
Repository: CRAN
Date/Publication: 2017-05-28 06:20:06 UTC

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New package RGraphM with initial version 0.1.0
Package: RGraphM
Type: Package
Title: Graph Matching Library for R
Version: 0.1.0
Author: Sancar Adali
Maintainer: Sancar Adali <sancar.adali@gmail.com>
Description: This is a wrapper package for the graph matching library 'graphm'. The original 'graphm' C/C++ library can be found in <http://cbio.mines-paristech.fr/graphm/> . Latest version ( 0.52 ) of this library is slightly modified to fit 'Rcpp' usage and include in the source package.
License: GPL-2
LazyData: TRUE
Imports: Rcpp (>= 0.12), RcppGSL (>= 0.3)
LinkingTo: Rcpp,RcppGSL
NeedsCompilation: yes
RoxygenNote: 6.0.1
Packaged: 2017-05-27 16:03:12 UTC; Samcar
Repository: CRAN
Date/Publication: 2017-05-28 06:20:16 UTC

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New package piton with initial version 0.1.0
Package: piton
Type: Package
Title: Parsing Expression Grammars in Rcpp
Version: 0.1.0
URL: https://www.github.com/Ironholds/piton
BugReports: https://www.github.com/Ironholds/piton/issues
Author: Oliver Keyes [aut, cre], Colin Hirsch [cph], Daniel Frey [cph]
Maintainer: Oliver Keyes <ironholds@gmail.com>
Description: A wrapper around the 'Parsing Expression Grammar Template Library', a C++11 library for generating Parsing Expression Grammars, that makes it accessible within Rcpp. With this, developers can implement their own grammars and easily expose them in R packages.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp
SystemRequirements: C++11
RoxygenNote: 6.0.1
Suggests: testthat
Date: 2017-05-27
NeedsCompilation: yes
Packaged: 2017-05-28 04:36:20 UTC; ironholds
Repository: CRAN
Date/Publication: 2017-05-28 06:11:29 UTC

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New package MVisAGe with initial version 0.1.0
Package: MVisAGe
Title: Compute and Visualize Bivariate Associations
Version: 0.1.0
Authors@R: person("Vonn", "Walter", email = "vwalter1@hmc.psu.edu", role = c("aut", "cre"))
Description: Pearson correlation coefficients are commonly used to quantify the strength of bivariate associations of genomic variables. For example, correlations of gene-level DNA copy number and gene expression measurements may be used to assess the impact of DNA copy number changes on gene expression in tumor tissue. MVisAGe enables users to quickly compute and visualize the correlations in order to assess the effect of regional genomic events such as changes in DNA copy number or DNA methylation level.
Depends: R (>= 3.3.1)
Suggests: R.rsp
VignetteBuilder: R.rsp
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-27 01:58:31 UTC; Vonn_User
Author: Vonn Walter [aut, cre]
Maintainer: Vonn Walter <vwalter1@hmc.psu.edu>
Repository: CRAN
Date/Publication: 2017-05-28 06:17:37 UTC

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New package here with initial version 0.1
Package: here
Title: A Simpler Way to Find Your Files
Version: 0.1
Authors@R: person("Kirill", "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org")
Description: Constructs paths to your project's files. The 'here()' function uses a reasonable heuristics to find your project's files, based on the current working directory at the time when the package is loaded. Use it as a drop-in replacement for 'file.path()', it will always locate the files relative to your project root.
Imports: rprojroot (>= 1.2)
License: GPL-3
Encoding: UTF-8
LazyData: true
Date: 2017-05-27
URL: https://github.com/krlmlr/here, http://krlmlr.github.io/here
BugReports: https://github.com/krlmlr/here/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-27 20:53:11 UTC; muelleki
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Repository: CRAN
Date/Publication: 2017-05-28 06:13:04 UTC

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New package edpclient with initial version 0.0.1
Package: edpclient
Type: Package
Title: Empirical Data Platform Client
Version: 0.0.1
Date: 2017-05-27
Author: Empirical Engineering
Maintainer: Madeleine Thompson <madeleine@empirical.com>
Description: R client for Empirical Data Platform. More information is at <https://empirical.com>. For support, contact support@empirical.com.
License: Apache License (== 2.0)
Imports: httr, ini, jsonlite, plyr, stats
Suggests: lintr
NeedsCompilation: no
Packaged: 2017-05-27 20:54:38 UTC; madeleine
Repository: CRAN
Date/Publication: 2017-05-28 06:18:07 UTC

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Sat, 27 May 2017

New package survidm with initial version 0.1.0
Package: survidm
Type: Package
Title: Inference and Prediction in an Illness-Death Model
Version: 0.1.0
Date: 2017-05-24
Author: Luis Meira-Machado and Marta Sestelo
Maintainer: Marta Sestelo <sestelo@uvigo.es>
Description: Newly developed methods for the estimation of several probabilities in an illness-death model. The package can be used to obtain nonparametric and semiparametric estimates for: transition probabilities, occupation probabilities, cumulative incidence function and the sojourn time distributions. Several auxiliary functions are also provided which can be used for marginal estimation of the survival functions.
Depends: R (>= 3.0.0)
Encoding: UTF-8
License: GPL-3
LazyData: true
Imports: KernSmooth, np, survival, doParallel, parallel, doRNG, foreach
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-05-27 12:26:46 UTC; Sestelo
Repository: CRAN
Date/Publication: 2017-05-27 14:05:27 UTC

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New package stratvns with initial version 1.0
Package: stratvns
Type: Package
Title: Optimal Stratification in Stratified Sampling Optimization Algorithm
Version: 1.0
Author: Breno Oliveira, Leonardo Lima and Jose Brito
Maintainer: Jose Brito <jambrito@gmail.com>
Description: An Optimization Algorithm Applied to stratification Problem. It is aims to delimit the population strata and defining the allocation of sample,considering the following objective: minimize the sample size given a fixed precision level. Exhaustive enumeration method is applied in small problems, while in problems with greater complexity the algorithm is based on metaheuristic Variable Neighborhood Decomposition Search with Path Relink.
Depends: Rglpk,snowfall,stratification, sampling, MultAlloc
Encoding: UTF-8
License: GPL-2
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-27 01:32:32 UTC; AMANDOCA_AMD
Repository: CRAN
Date/Publication: 2017-05-27 14:07:58 UTC

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New package SeerMapper with initial version 1.2.0
Package: SeerMapper
Type: Package
Version: 1.2.0
Date: 2017-05-26
Title: A Quick Way to Map U.S. Rates and Data of U. S. States, Counties, Census Tracts, or Seer Registries using 2000 and 2010 U. S. Census Boundaries
Author: "Jim Pearson" <jpearson@statnetconsulting.com>
Maintainer: "Jim Pearson" <jpearson@statnetconsulting.com>
Imports: graphics, maptools, RColorBrewer, rgdal, sp, stats, stringr, SeerMapperRegs, SeerMapperEast, SeerMapperWest, SeerMapper2010Regs, SeerMapper2010East, SeerMapper2010West
Depends: R (>= 3.2.0)
Suggests:
Description: Provides an easy way to map seer registry area rate data on a U. S, map. The U. S. data may be mapped at the state, U. S. NCI Seer Register, state/county or census tract level. The function can categorize the data into "n" quantiles, where "n" is 3 to 11 or the caller can specify a cut point list for the categorizes. The caller can also provide the data and the comparison operation to request hatching over any areas. The default operation and value are > 0.05 (p-values). The location id provided in the data determines the geographic level of the mapping. If states, state/counties or census tracts are being mapped, the location ids used must be the U.S. FIPS codes for states (2 digits), state/counties (5 digits) or state/county/census tracts (11 digits). If the location id references the U.S. Seer Registry areas, the Seer Registry area identifier used to link the data to the geographical areas, then the location id is the Seer Registry name or abbreviation. Additional parameters are used to provide control over the drawing of the boundaries at the data's boundary level and higher levels. The package uses modified boundary data from the 2000 and 2010 U. S. Census to reduce the storage requirements and improve drawing speed. The 'SeerMapper' package contains the U. S. Census 2000 and 2010 boundary data for the regional, state, Seer Registry, and county levels. Six supplement packages contain the census tract boundary data (see manual for more details.)
License: GPL (>= 2)
LazyData: no
LazyLoad: no
BuildResaveData: yes
ByteCompile: yes
NeedsCompilation: no
Packaged: 2017-05-27 00:31:45 UTC; jpearson
Repository: CRAN
Date/Publication: 2017-05-27 14:09:10 UTC

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New package polypoly with initial version 0.0.2
Package: polypoly
Title: Helper Functions for Orthogonal Polynomials
Version: 0.0.2
Authors@R: person("Tristan", "Mahr", email = "tristan.mahr@gmail.com", role = c("aut", "cre"))
Description: Tools for reshaping, plotting, and manipulating matrices of orthogonal polynomials.
Depends: R (>= 3.3.3)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/tjmahr/polypoly
BugReports: https://github.com/tjmahr/polypoly/issues
Imports: tibble, reshape2, ggplot2, rlang, stats
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, lme4, splines
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-26 18:22:42 UTC; mahr
Author: Tristan Mahr [aut, cre]
Maintainer: Tristan Mahr <tristan.mahr@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-27 14:12:20 UTC

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New package KarsTS with initial version 1.0
Package: KarsTS
Type: Package
Title: An Interface for Karstic Time Series
Version: 1.0
Date: 2017-05-23
Authors@R: c(person("Marina", "Saez", email = "marinasaez_andreu@hotmail.com",role = c("aut", "cre")),person("David", "Benavente", role = c("ths")),person("Soledad", "Cuezva", role = c("ths")),person("Concepcion", "Pla", role = c("ctb")))
Author: Marina Saez [aut, cre], David Benavente [ths], Soledad Cuezva [ths], Concepcion Pla [ctb]
Maintainer: Marina Saez <marinasaez_andreu@hotmail.com>
Description: An R graphical user interface for karstic time series, based on the 'tcltk' package. Karstic research typically includes CO2 and Rn concentrations and microclimatic measurements. Many of these time series have a strong non-linear behavior. Gaps are often a significant problem because caves are aggressive environments for the apparels. 'KarsTS' provides linear and non-linear analysis and filling methods, as well as tools to manipulate easily time series and gap sets.
License: GPL (>= 2)
Note: Please, cite this package as: Marina Saez (2017). KarsTS: An Interface For Karstic Time Series. R package version 1.0.
RoxygenNote: 6.0.1
Imports: circular, BaylorEdPsych, MVN, tcltk, tcltk2, tkrplot, tseriesChaos, stlplus, tseries, forecast, stinepack, missForest, nonlinearTseries, stats, graphics, utils, zoo, grDevices, rgl, mgcv
NeedsCompilation: no
Packaged: 2017-05-26 13:41:01 UTC; rs
Repository: CRAN
Date/Publication: 2017-05-27 14:26:52 UTC

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New package didrooRFM with initial version 1.0.0
Package: didrooRFM
Title: Compute Recency Frequency Monetary Scores for your Customer Data
Version: 1.0.0
Authors@R: person("Satish", "Hariharan", email = "satish181990@gmail.com", role = c("aut", "cre"))
Description: This hosts the findRFM function which generates RFM scores on a 1-5 point scale for customer transaction data. The function consumes a data frame with Transaction Number, Customer ID, Date of Purchase (in date format) and Amount of Purchase as the attributes. The function returns a data frame with RFM data for the sales information.
Depends: R (>= 3.3.3)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: dplyr
BugReports: https://goo.gl/forms/BU7rb8HmgTSeWZE02
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-27 13:49:57 UTC; didroo
Author: Satish Hariharan [aut, cre]
Maintainer: Satish Hariharan <satish181990@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-27 14:29:07 UTC

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Fri, 26 May 2017

New package breakfast with initial version 0.1.0
Package: breakfast
Title: Multiple Change-Point Detection and Segmentation
Version: 0.1.0
Authors@R: person("Piotr", "Fryzlewicz", email = "p.fryzlewicz@lse.ac.uk", role = c("aut", "cre"))
Description: Performs multiple change-point detection in data sequences, or data sequence segmentation, using computationally efficient multiscale methods. This version only implements the "Tail-Greedy Unbalanced Haar" change-point detection methodology; more methods will be added in future versions. To start with, see the function segment.mean.
Depends: R (>= 3.4.0)
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: plyr
NeedsCompilation: no
Packaged: 2017-05-26 12:43:53 UTC; piotr
Author: Piotr Fryzlewicz [aut, cre]
Maintainer: Piotr Fryzlewicz <p.fryzlewicz@lse.ac.uk>
Repository: CRAN
Date/Publication: 2017-05-26 13:12:07 UTC

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New package geometa with initial version 0.1-0
Package: geometa
Type: Package
Title: Tools for Reading and Writing ISO/OGC Geographic Metadata
Version: 0.1-0
Date: 2017-05-24
Author: Emmanuel Blondel <emmanuel.blondel1@gmail.com>
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>
Description: Provides facilities to handle reading and writing of geographic metadata defined with OGC/ISO 19115 and 19139 (XML) standards.
Depends: R (>= 3.1.0)
Imports: R6, XML
Suggests: testthat, roxygen2
License: MIT + file LICENSE
URL: https://github.com/eblondel/geometa/wiki
BugReports: https://github.com/eblondel/geometa/issues
LazyLoad: yes
NeedsCompilation: no
Packaged: 2017-05-25 12:31:35 UTC; Emmanuel
Repository: CRAN
Date/Publication: 2017-05-25 15:22:29

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New package walrus with initial version 1.0.0
Package: walrus
Type: Package
Title: Robust Statistical Methods
Version: 1.0.0
Author: Jonathon Love, Patrick Mair
Maintainer: Jonathon Love <jon@thon.cc>
Description: A toolbox of common robust statistical tests, including robust descriptives, robust t-tests, and robust ANOVA. It is also available as a module for 'jamovi' (see <https://www.jamovi.org> for more information). Walrus is based on the WRS2 package by Patrick Mair, which is in turn based on the scripts and work of Rand Wilcox. These analyses are described in depth in the book 'Introduction to Robust Estimation & Hypothesis Testing'.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: WRS2, ggplot2, jmvcore (>= 0.5.5), R6
Suggests: MASS
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-26 01:30:42 UTC; jonathon
Repository: CRAN
Date/Publication: 2017-05-26 06:07:05 UTC

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New package CharFun with initial version 0.1.0
Package: CharFun
Type: Package
Title: Numerical Computation Cumulative Distribution Function and Probability Density Function from Characteristic Function
Version: 0.1.0
Author: Ľudmila Šimková
Maintainer: Ľudmila Šimková <ludula.simkova@gmail.com>
Description: The Characteristic Functions Toolbox (CharFun) consists of a set of algorithms for evaluating selected characteristic functions and algorithms for numerical inversion of the (combined and/or compound) characteristic functions, used to evaluate the probability density function (PDF) and the cumulative distribution function (CDF).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Imports: Bessel
NeedsCompilation: no
Packaged: 2017-05-25 23:20:43 UTC; ludula
Repository: CRAN
Date/Publication: 2017-05-26 06:08:30 UTC

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Thu, 25 May 2017

New package simglm with initial version 0.5.0
Package: simglm
Type: Package
Authors@R: person("Brandon", "LeBeau", email = "lebebr01+simglm@gmail.com", role = c("aut", "cre"))
Version: 0.5.0
License: MIT + file LICENSE
Title: Simulate Models Based on the Generalized Linear Model
Description: Easily simulates regression models, including both simple regression and generalized linear mixed models with up to three level of nesting. Power simulations that are flexible allowing the specification of missing data, unbalanced designs, and different random error distributions are built into the package.
Depends: R (>= 3.3.0), stats, Matrix, dplyr, purrr, tidyr, tibble
Suggests: knitr, lme4, nlme, testthat, shiny, e1071, ggplot2
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Author: Brandon LeBeau [aut, cre]
Maintainer: Brandon LeBeau <lebebr01+simglm@gmail.com>
NeedsCompilation: no
Packaged: 2017-05-25 17:27:11 UTC; lebeb
Repository: CRAN
Date/Publication: 2017-05-25 21:51:16 UTC

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New package rdoxygen with initial version 1.0.0
Package: rdoxygen
Title: Create Doxygen Documentation for Source Code
Version: 1.0.0
Authors@R: c( person("Clemens", "Schmid", email = "clemens@nevrome.de", role = c("cre", "cph", "aut")) )
Maintainer: Clemens Schmid <clemens@nevrome.de>
Description: Create doxygen documentation for source code in R packages. Includes a RStudio Addin, that allows to trigger the doxygenize process.
Date: 2017-05-23
Depends: R (>= 3.3.3)
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/nevrome/rdoxygen
BugReports: https://github.com/nevrome/rdoxygen/issues
RoxygenNote: 6.0.1
Imports: devtools (>= 1.12.0)
Suggests: testthat
SystemRequirements: doxygen
NeedsCompilation: yes
Packaged: 2017-05-25 21:11:20 UTC; clemens
Author: Clemens Schmid [cre, cph, aut]
Repository: CRAN
Date/Publication: 2017-05-25 21:39:04 UTC

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New package fcm with initial version 0.1.1
Package: fcm
Type: Package
Title: Inference of Fuzzy Cognitive Maps (FCMs)
Version: 0.1.1
Date: 2017-05-25
Author: Zoumpoulia Dikopoulou <dikopoulia@gmail.com> <zoumpolia.dikopoulou@uhasselt.be>, Elpiniki Papageorgiou <epapageorgiou@teiste.gr>, <e.i.papageorgiou75@gmail.com>
Maintainer: Zoumpoulia Dikopoulou <dikopoulia@gmail.com>
Description: Provides a selection of 6 different inference rules and 4 threshold functions in order to obtain the inference of the FCM (Fuzzy Cognitive Map). Moreover, the 'fcm' package returns a data frame of the concepts' values of each state after the inference procedure. Fuzzy cognitive maps were introduced by Kosko (1986) <doi:10.1002/int.4550010405> providing ideal causal cognition tools for modeling and simulating dynamic systems.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: reshape2, ggplot2
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2017-05-25 21:31:49 UTC; lucp8904
Repository: CRAN
Date/Publication: 2017-05-25 21:46:07 UTC

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New package apng with initial version 1.0
Package: apng
Type: Package
Title: Convert Png Files into Animated Png
Version: 1.0
Date: 2017-05-23
Author: Quinten Stokkink
Maintainer: Quinten Stokkink <q.a.stokkink@tudelft.nl>
Depends: bitops
Description: Convert several png files into an animated png file. This package exports only a single function `apng'. Call the apng function with a vector of file names (which should be png files) to convert them to a single animated png file.
License: GPL-3 | file LICENSE
NeedsCompilation: no
Packaged: 2017-05-25 20:16:56 UTC; quinten
Repository: CRAN
Date/Publication: 2017-05-25 21:37:00 UTC

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New package Xplortext with initial version 1.00
Package: Xplortext
Type: Package
Title: Statistical Analysis of Textual Data
Version: 1.00
Date: 2017-05-24
Author: Monica Bcue-Bertaut, Ramn Alvarez-Esteban, Josep-Anton Snchez- Espigares
Maintainer: Ramn Alvarez-Esteban <ramon.alvarez@unileon.es>
Description: A complete set of functions devoted to statistical analysis of documents.
License: GPL (>= 2.0)
Depends: R (>= 3.4.0), FactoMineR(>= 1.35), ggplot2(>= 2.2.1)
Imports: tm, stringr, slam, stats, graphics, gridExtra, utils
URL: http://www.xplortext.org
Encoding: latin1
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-25 12:27:46 UTC; Usuario
Repository: CRAN
Date/Publication: 2017-05-25 14:33:20 UTC

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New package timelineR with initial version 0.1.0
Package: timelineR
Title: Visualization for Time Series Data
Version: 0.1.0
Authors@R: c( person("Mohsin", "Vindhani", email = "mohsin@systeminsights.com", role = c("aut", "cre")), person("Alex", "Joseph", email = "alex@systeminsights.com", role = c("aut")), person("Ananthapadmanabhan", email = "ananthu@systeminsights.com", role = c("aut")), person("Subramanyam", "Ravishankar", email = "subramanyam@systeminsights.com", role = c("aut")) )
Maintainer: Mohsin Vindhani <mohsin@systeminsights.com>
Description: Helps to visualize multi-variate time-series having numeric and factor variables. You can use the package for visual analysis of data by plotting the data for each variable in the desired order and study interaction between a factor and a numeric variable by creating overlapping plots.
Depends: R (>= 3.3.0)
Imports: dplyr, lubridate, stringr, futile.logger, ggplot2, gtable, grid, mtconnectR
Suggests: testthat, knitr, rmarkdown
License: AGPL-3
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-25 05:19:06 UTC; mohsinvindhani
Author: Mohsin Vindhani [aut, cre], Alex Joseph [aut], Ananthapadmanabhan [aut], Subramanyam Ravishankar [aut]
Repository: CRAN
Date/Publication: 2017-05-25 07:57:12 UTC

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New package coga with initial version 0.1.0
Package: coga
Title: Convolution of Gamma Distributions
Version: 0.1.0
Date: 2017-05-22
Authors@R: c( person("Chaoran", "Hu", email = "chaoran.hu@uconn.edu", role = c("aut", "cre")), person("Vladimir", "Pozdnyakov", email = "vladimir.pozdnyakov@uconn.edu", role = "ths"), person("Jun", "Yan", email = "jun.yan@uconn.edu", role = "ths"))
Description: Convolution of gamma distributions in R. The convolution of gamma distributions is the sum of series of gamma distributions and all gamma distributions here can have different parameters. This package can calculate density, distribution function and do simulation work.
Depends: R (>= 3.3.1)
License: GPL (>= 3.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat, microbenchmark
VignetteBuilder: knitr
Imports: stats, Rcpp
LinkingTo: Rcpp
BugReports: https://bitbucket.org/chaoranhu/coga/issues
URL: https://bitbucket.org/chaoranhu/coga
NeedsCompilation: yes
Packaged: 2017-05-24 21:50:16 UTC; ChaoranHu
Author: Chaoran Hu [aut, cre], Vladimir Pozdnyakov [ths], Jun Yan [ths]
Maintainer: Chaoran Hu <chaoran.hu@uconn.edu>
Repository: CRAN
Date/Publication: 2017-05-25 07:37:38 UTC

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Wed, 24 May 2017

New package lans2r with initial version 1.0.5
Package: lans2r
Title: Work with Look at NanoSIMS Data in R
Description: R interface for working with nanometer scale secondary ion mass spectrometry (NanoSIMS) data exported from Look at NanoSIMS.
Version: 1.0.5
Authors@R: person("Sebastian", "Kopf", email = "sebastian.kopf@colorado.edu", role = c("aut", "cre"))
URL: https://github.com/KopfLab/lans2r
BugReports: https://github.com/KopfLab/lans2r/issues
Depends: R (>= 3.1)
Imports: dplyr, tidyr, reshape2, ggplot2, lazyeval, R.matlab
Suggests: testthat, rmarkdown, knitr, covr
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-24 00:25:43 UTC; sk
Author: Sebastian Kopf [aut, cre]
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>
Repository: CRAN
Date/Publication: 2017-05-24 04:25:53 UTC

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New package commonsMath with initial version 1.0.0
Package: commonsMath
Type: Package
Title: JAR Files of the Apache Commons Mathematics Library
Version: 1.0.0
Date: 2017-05-23
Description: Java JAR files for the Apache Commons Mathematics Library for use by users and other packages.
Authors@R: c(person(given="David B.",family="Dahl",role=c("cre"),email="dahl@stat.byu.edu"), person(given="The Apache Software Foundation",role=c("aut","cph")))
URL: https://github.com/dbdahl/commonsMath
BugReports: https://github.com/dbdahl/commonsMath/issues
Suggests: rscala (>= 2.1.1), rJava (>= 0.9-8)
License: Apache License 2.0 | file LICENSE
NeedsCompilation: no
Packaged: 2017-05-24 04:47:02 UTC; dahl
Author: David B. Dahl [cre], The Apache Software Foundation [aut, cph]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Repository: CRAN
Date/Publication: 2017-05-24 05:21:03 UTC

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New package brlrmr with initial version 0.1.0
Package: brlrmr
Title: Bias Reduction with Missing Binary Response
Version: 0.1.0
Date: 2016-11-23
Authors@R: c(person("Arnab", "Maity", email = "akumar@stat.tamu.edu", role = c("aut", "cre")), person("Vivek", "Pradhan", email = "vip296@mail.harvard.edu", role = "ctb"), person("Ujjwal", "Das", email = "ujjwal.das@iimu.ac.in", role = "ctb"))
Description: Provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068> to estimate the parameters of a logistic regression model with the missing response when the missing data mechanism is nonignorable. The fil() function implements the algorithm proposed by Maity et. al. (2017+) <https://github.com/arnabkrmaity/brlrmr> to reduce the bias produced by the method of Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068>.
Depends: R (>= 2.10)
Imports: boot, brglm, MASS, profileModel, Rcpp, stats
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-05-23 22:32:51 UTC; SUDESHNA
Author: Arnab Maity [aut, cre], Vivek Pradhan [ctb], Ujjwal Das [ctb]
Maintainer: Arnab Maity <akumar@stat.tamu.edu>
Repository: CRAN
Date/Publication: 2017-05-24 04:27:44 UTC

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Tue, 23 May 2017

New package dwapi with initial version 0.1.1
Package: dwapi
Title: A Client for Data.world's REST API
Version: 0.1.1
Authors@R: c( person("Rafael", "Pereira", email = "rafael.pereira@data.world", role = c("aut", "cre")), person("Triet", "Le", email = "triet.le@data.world", role = c("aut")), person("Bryon", "Jacob", email = "bryon.jacob@data.world", role = c("aut")))
Description: A set of wrapper functions for data.world's REST API endpoints.
Depends: R (>= 3.3.0)
Imports: httr, readr, rjson, xml2
Suggests: knitr, rmarkdown, testthat
License: Apache License 2.0
Encoding: UTF-8
LazyData: true
URL: https://github.com/datadotworld/dwapi-r
BugReports: https://github.com/datadotworld/dwapi-r/issues
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-23 22:10:18 UTC; rafael
Author: Rafael Pereira [aut, cre], Triet Le [aut], Bryon Jacob [aut]
Maintainer: Rafael Pereira <rafael.pereira@data.world>
Repository: CRAN
Date/Publication: 2017-05-23 22:29:42 UTC

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New package UnivRNG with initial version 1.0
Package: UnivRNG
Type: Package
Title: Univariate Pseudo-Random Number Generation
Version: 1.0
Date: 2017-05-23
Author: Hakan Demirtas, Rawan Allozi
Maintainer: Rawan Allozi <ralloz2@uic.edu>
Description: Pseudo-random number generation of 17 univariate distributions.
License: GPL-2 | GPL-3
NeedsCompilation: no
Repository: CRAN
RoxygenNote: 5.0.1
Packaged: 2017-05-23 17:59:21 UTC; rawanallozi
Date/Publication: 2017-05-23 18:25:40 UTC

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New package RHPCBenchmark with initial version 0.1.0
Package: RHPCBenchmark
Title: Benchmarks for High-Performance Computing Environments
Version: 0.1.0
Author: James McCombs [aut, cre]
Maintainer: James McCombs <jmccombs@iu.edu>
Authors@R: person("James", "McCombs", email = "jmccombs@iu.edu", role = c("aut", "cre"))
Description: Microbenchmarks for determining the run time performance of aspects of the R programming environment and packages relevant to high-performance computation. The benchmarks are divided into three categories: dense matrix linear algebra kernels, sparse matrix linear algebra kernels, and machine learning functionality.
Depends: R (>= 3.3.1), methods
Imports: utils, mvtnorm, cluster, Matrix
License: Apache License 2.0 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-23 15:43:29 UTC; jmccombs
Repository: CRAN
Date/Publication: 2017-05-23 17:26:28 UTC

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New package ROI.models.miplib with initial version 0.0-1
Package: ROI.models.miplib
Version: 0.0-1
Title: R Optimization Infrastructure: 'MIPLIB' 2010 Benchmark Instances
Authors@R: c( person("Florian", "Schwendinger", role = c("aut", "cre"), email = "FlorianSchwendinger@gmx.at"), person("Stefan", "Theussl", role = "aut") )
Description: The mixed integer programming library 'MIPLIB' (see <http://miplib.zib.de/>) is commonly used to compare the performance of mixed integer optimization solvers. This package provides functions to access 'MIPLIB' from the 'R' Optimization Infrastructure ('ROI'). More information about 'MIPLIB' can be found in the paper by Koch et al. available at <http://mpc.zib.de/index.php/MPC/article/viewFile/56/28>. The 'README.md' file illustrates how to use this package.
Depends: R (>= 2.10)
Imports: R.utils, Rglpk, ROI (>= 0.2-0)
License: GPL-3
URL: http://R-Forge.R-project.org/projects/roi
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-23 12:22:23 UTC; florian
Author: Florian Schwendinger [aut, cre], Stefan Theussl [aut]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Repository: CRAN
Date/Publication: 2017-05-23 12:56:58 UTC

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New package RNAstructureModuleMiner with initial version 0.1.0
Package: RNAstructureModuleMiner
Type: Package
Title: RNA Secondary Structure Comparison and Module Mining
Version: 0.1.0
Author: Zheng HeWei
Depends: RRNA
Maintainer: Zheng HeWei<zhenghw@hrbmu.edu.cn>
Description: Functions in this program is designed for RNA secondary structure plotting, comparison and module mining. Given a RNA secondary structure, you can obtain stem regions, hairpin loops, internal loops, bulge loops and multibranch loops of this RNA structure using this program. They are the basic modules of RNA secondary structure. For each module you get, you can use this program to label the RNA structure with a specific color. You can also use this program to compare two RNA secondary structures to get a score that represents similarity.
License: GPL-2
LazyData: TRUE
NeedsCompilation: no
Packaged: 2017-05-23 06:08:15 UTC; lenovo
Repository: CRAN
Date/Publication: 2017-05-23 06:32:13 UTC

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Mon, 22 May 2017

New package dgo with initial version 0.2.9
Package: dgo
Title: Dynamic Estimation of Group-Level Opinion
Version: 0.2.9
Date: 2017-05-21
Description: Fit dynamic group-level IRT and MRP models from individual or aggregated item response data. This package handles common preprocessing tasks and extends functions for inspecting results, poststratification, and quick iteration over alternative models.
Maintainer: James Dunham <james@jdunham.io>
Authors@R: c( person("James", "Dunham", email = "james@jdunham.io", role = c("aut", "cre")), person("Devin", "Caughey", email = "caughey@mit.edu", role = c("aut")), person("Christopher", "Warshaw", email = "cwarshaw@mit.edu", role = c("aut")) )
License: GPL-3
URL: https://jdunham.io/dgo/
BugReports: https://github.com/jamesdunham/dgo/issues
Depends: dgodata, R (>= 3.2.2), rstan (>= 2.15.1)
LazyData: true
Imports: assertthat, data.table, ggplot2, lubridate, methods, R6, Rcpp (>= 0.12.10), survey
Suggests: knitr, rmarkdown, testthat
LinkingTo: Rcpp (>= 0.12.10)
NeedsCompilation: yes
Collate: 'RcppExports.R' 'aggregate_item_responses.r' 'assertions.r' 'class-control.r' 'class-dgo_fit.r' 'class-dgirt_fit.r' 'constants.r' 'class-dgirtin.r' 'class-dgmrp_fit.r' 'dgirt.r' 'dichotomize_item_responses.r' 'expand_rownames.r' 'methods-control.r' 'methods-dgirtfit-plot.r' 'methods-dgirtfit-poststratify.r' 'methods-dgirtfit.r' 'methods-dgirtin.r' 'name_helpers.r' 'package.R' 'rake_partial.r' 'restrict_input_data.r' 'reweight_item_responses.r' 'shape.r' 'shape_hierarchical.r' 'toy_dgirt_in.r' 'toy_dgirtfit.r' 'validate_dgirtIn.r' 'validate_input_data.r'
RoxygenNote: 6.0.1
Packaged: 2017-05-23 02:17:38 UTC; james
Author: James Dunham [aut, cre], Devin Caughey [aut], Christopher Warshaw [aut]
Repository: CRAN
Date/Publication: 2017-05-23 03:39:44 UTC

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New package lemon with initial version 0.3.0
Package: lemon
Type: Package
Title: Freshing Up your 'ggplot2' Plots
URL: https://github.com/stefanedwards/lemon
BugReports: https://github.com/stefanedwards/lemon/issues
Version: 0.3.0
Date: 2017-05-18
Authors@R: c( person('Stefan McKinnon', 'Edwards', email='sme@iysik.com', role=c('aut','ctb','cre')), person('Baptiste','Auguie', role='ctb', comment='For g_legend and grid_arrange_shared_legend'), person('Shaun','Jackman', role='ctb', comment='For grid_arrange_shared_legend'), person("Hadley", "Wickham", , "hadley@rstudio.com", "ctb", comment='ggplot2 functions'), person("Winston", "Chang", , "winston@rstudio.com", "ctb", comment='ggplot2 functions') )
Description: Functions for working with legends and axis lines of 'ggplot2', facets that repeat axis lines on all panels, and some 'knitr' extensions.
Depends: R (>= 3.1.0)
Imports: ggplot2 (>= 2.2.0), grid, gridExtra, gtable, RCurl, knitr (>= 1.12), lattice
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Collate: 'ggplot2.r' 'brackets.R' 'coord-capped.r' 'coord-flex.r' 'dot.r' 'facet-rep-lab.r' 'facet-wrap.r' 'gtable_show-.r' 'guides-axis.r' 'legends.r' 'lemon.r' 'lemon_print.r'
Suggests: rmarkdown, stringr, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-22 12:20:14 UTC; shojedw
Author: Stefan McKinnon Edwards [aut, ctb, cre], Baptiste Auguie [ctb] (For g_legend and grid_arrange_shared_legend), Shaun Jackman [ctb] (For grid_arrange_shared_legend), Hadley Wickham [ctb] (ggplot2 functions), Winston Chang [ctb] (ggplot2 functions)
Maintainer: Stefan McKinnon Edwards <sme@iysik.com>
Repository: CRAN
Date/Publication: 2017-05-22 16:09:54 UTC

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New package DendroSync with initial version 0.1.0
Package: DendroSync
Type: Package
Title: A Set of Tools for Calculating Spatial Synchrony Between Tree-Ring Chronologies
Version: 0.1.0
Date: 2017-05-18
Author: Josu G. Alday, Tatiana A. Shestakova, Victor Resco de Dios, Jordi Voltas
Maintainer: Josu G. Alday <josucham@gmail.com>
Description: Provides functions for the calculation and plotting of synchrony in tree growth from tree-ring width chronologies (TRW index). It combines variance-covariance (VCOV) mixed modelling with functions that quantify the degree to which the TRW chronologies contain a common temporal signal. It also implements temporal trends in spatial synchrony using a moving window. These methods can also be used with other kind of ecological variables that have temporal autocorrelation corrected.
License: GPL-2
Depends: R (>= 3.1.2), nlme, ggplot2
LazyData: TRUE
Imports: stats, utils, gridExtra
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-22 11:51:00 UTC; Josu
Repository: CRAN
Date/Publication: 2017-05-22 12:18:47 UTC

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New package SpatialAcc with initial version 0.1
Package: SpatialAcc
Type: Package
Title: Spatial Accessibility Measures
Version: 0.1
Date: 2017-05-22
Authors@R: person("Stamatis", "Kalogirou", email = "skalo@hua.gr", role = c("aut", "cre"))
Depends: R (>= 3.3)
Description: Provides a set of spatial accessibility measures from a set of locations (demand) to another set of locations (supply). It aims, among others, to support research on spatial accessibility to health care facilities.
License: GPL (>= 2)
LazyData: TRUE
Suggests: sp
NeedsCompilation: no
Packaged: 2017-05-22 08:40:04 UTC; Stamatis
Author: Stamatis Kalogirou [aut, cre]
Maintainer: Stamatis Kalogirou <skalo@hua.gr>
Repository: CRAN
Date/Publication: 2017-05-22 11:46:00 UTC

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New package sotu with initial version 1.0.2
Package: sotu
Type: Package
Title: United States Presidential State of the Union Addresses
Version: 1.0.2
Authors@R: c(person(given = "Taylor B.", family = "Arnold", email = "taylor.arnold@acm.org", role = c("aut", "cre")))
Author: Taylor B. Arnold [aut, cre]
Maintainer: Taylor B. Arnold <taylor.arnold@acm.org>
Description: The President of the United States is constitutionally obligated to provide a report known as the 'State of the Union'. The report summarizes the current challenges facing the country and the president's upcoming legislative agenda. While historically the State of the Union was often a written document, in recent decades it has always taken the form of an oral address to a joint session of the United States Congress. This package provides the raw text from every such address with the intention of being used for meaningful examples of text analysis in R. The corpus is well suited to the task as it is historically important, includes material intended to be read and material intended to be spoken, and it falls in the public domain. As the corpus spans over two centuries it is also a good test of how well various methods hold up to the idiosyncrasies of historical texts. Associated data about each address, such as the year, president, party, and format, are also included.
Depends: R (>= 2.10)
Imports: utils
License: GPL-2
URL: http://github.com/statsmaths/sotu/issues
BugReports: http://github.com/statsmaths/sotu/issues
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-22 11:27:24 UTC; taylor
Repository: CRAN
Date/Publication: 2017-05-22 11:50:53 UTC

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New package readtext with initial version 0.50
Package: readtext
Version: 0.50
Type: Package
Title: Import and Handling for Plain and Formatted Text Files
Authors@R: c( person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role = c("aut", "cre", "cph")), person("Adam", "Obeng", email = "quanteda@binaryeagle.com", role = "aut"), person("Paul", "Nulty", email = "paul.nulty@gmail.com", role = "ctb"), person("Stefan", "Müller", email = "mullers@tcd.ie", role = "ctb"))
Description: Functions for importing and handling text files and formatted text files with additional meta-data, such including '.csv', '.tab', '.json', '.xml', '.pdf', '.doc', '.docx', '.xls', '.xlsx', and others.
License: GPL-3
Depends: R (>= 3.3.1)
Imports: utils, stringi, data.table, httr, antiword, pdftools, tibble, jsonlite (>= 0.9.10), streamR, XML, readxl, readODS
Suggests: quanteda (>= 0.9.9.24), knitr, rmarkdown, testthat
URL: http://github.com/kbenoit/readtext
Encoding: UTF-8
BugReports: https://github.com/kbenoit/readtext/issues
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-22 07:05:37 UTC; kbenoit
Author: Kenneth Benoit [aut, cre, cph], Adam Obeng [aut], Paul Nulty [ctb], Stefan Müller [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Repository: CRAN
Date/Publication: 2017-05-22 07:20:21 UTC

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New package multicmp with initial version 1.0
Package: multicmp
Type: Package
Title: Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution
Version: 1.0
Authors@R: c( person("Kimberly", "Sellers", email = "Kimberly.Sellers@georgetown.edu", role = "aut"), person("Darcy" , "Steeg Morris", role = "aut"), person("Narayanaswamy" , "Balakrishnan" , role = "aut"), person("Diag", "Davenport", email = "diag.davenport@gmail.com", role = c("aut", "cre")) )
Maintainer: Diag Davenport <diag.davenport@gmail.com>
Description: A toolkit containing statistical analysis models motivated by multivariate forms of the Conway-Maxwell-Poisson (COM-Poisson) distribution for flexible modeling of multivariate count data, especially in the presence of data dispersion. Currently the package only supports bivariate data, via the bivariate COM-Poisson distribution described in Sellers et al. (2016) <doi:10.1016/j.jmva.2016.04.007>. Future development will extend the package to higher-dimensional data.
Imports: stats, numDeriv
URL: http://dx.doi.org/10.1016/j.jmva.2016.04.007
BugReports: https://github.com/diagdavenport/multicmp/issues
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-05-21 23:11:32 UTC; Diag Davenport
Author: Kimberly Sellers [aut], Darcy Steeg Morris [aut], Narayanaswamy Balakrishnan [aut], Diag Davenport [aut, cre]
Repository: CRAN
Date/Publication: 2017-05-22 04:17:44 UTC

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Sun, 21 May 2017

New package Rd2md with initial version 0.0.1
Package: Rd2md
Title: Markdown Reference Manuals
Version: 0.0.1
Authors@R: person("Julian", "Busch", email = "jb@quants.ch", role = c("aut", "cre"))
Description: The native R functionalities only allow PDF exports of reference manuals. This shall be extended by converting the package documentation files into markdown files and combining them into a markdown version of the package reference manual.
Depends: R (>= 3.2.3)
Imports: knitr, tools
Suggests: testthat, rmarkdown, devtools
License: GPL
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-05-21 17:59:21 UTC; jbusch
Author: Julian Busch [aut, cre]
Maintainer: Julian Busch <jb@quants.ch>
Repository: CRAN
Date/Publication: 2017-05-21 23:19:06 UTC

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New package wildcard with initial version 1.0.0
Package: wildcard
Title: Templates for Data Frames
Version: 1.0.0
Date: 2017-05-20
Authors@R: person(given = c("William", "Michael"), family = "Landau", email = "will.landau@gmail.com", role = c("aut", "cre"))
Description: Generate data frames from templates.
License: GPL (>= 3)
Depends: R (>= 3.0.0)
Imports: magrittr, stringi
Suggests: knitr, rmarkdown, testthat
URL: https://github.com/wlandau/wildcard
BugReports: https://github.com/wlandau/wildcard/issues
Encoding: UTF-8
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-21 14:53:25 UTC; root
Author: William Michael Landau [aut, cre]
Maintainer: William Michael Landau <will.landau@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-21 16:00:50 UTC

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New package penRvine with initial version 0.2
Package: penRvine
Type: Package
Title: Flexible R-Vines Estimation Using Bivariate Penalized Splines
Version: 0.2
Date: 2017-05-19
Depends: R (>= 2.15.1), lattice,igraph, fda, Matrix
Imports: quadprog, latticeExtra, doParallel, copula, foreach
Author: Christian Schellhase <cschellhase@wiwi.uni-bielefeld.de>
Maintainer: Christian Schellhase <cschellhase@wiwi.uni-bielefeld.de>
License: GPL (>= 2)
LazyLoad: yes
Description: Offers routines for estimating densities and copula distribution of R-vines using penalized splines.
NeedsCompilation: no
Packaged: 2017-05-21 08:29:37 UTC; cschellhase
Repository: CRAN
Date/Publication: 2017-05-21 09:11:46 UTC

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New package regnet with initial version 0.1.0
Package: regnet
Type: Package
Title: Network-Based Regularization for Generalized Linear Models
Version: 0.1.0
Authors@R: c( person("Jie", "Ren", email = "jieren@ksu.edu", role = c("aut", "cre")), person("Luann C.", "Jung", email = "luannjung01@gmail.com", role = c("aut")), person("Cen", "Wu", email = "wucen@ksu.edu", role = "aut"), person("Yinhao", "Du", role = c("ctb")), person("Jiang", "Yu", role = c("ctb")), person("Junhao", "Liu", role = c("ctb")))
Description: Network-based regularization has achieved success in variable selections for high-dimensional biological data, due to its ability to incorporate the correlations among genomic features.This package provides procedures for fitting network-based regularization, minimax concave penalty (MCP) and lasso penalty for generalized linear models. This first version, regent0.1.0, focuses on binary outcomes. Functions for continuous, survival outcomes and other regularization methods will be included in the forthcoming upgraded version.
Depends: R (>= 3.1.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: glmnet, stats
URL: https://github.com/jrhub/regnet
BugReports: https://github.com/jrhub/regnet/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-20 23:27:59 UTC; RenJie
Author: Jie Ren [aut, cre], Luann C. Jung [aut], Cen Wu [aut], Yinhao Du [ctb], Jiang Yu [ctb], Junhao Liu [ctb]
Maintainer: Jie Ren <jieren@ksu.edu>
Repository: CRAN
Date/Publication: 2017-05-21 07:00:25 UTC

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New package PhenotypeSimulator with initial version 0.1.1
Package: PhenotypeSimulator
Title: Flexible Phenotype Simulation from Different Genetic and Noise Models
Version: 0.1.1
Authors@R: c( person("Hannah", "Meyer", email = "hannah@ebi.ac.uk", role = c("aut", "cre")), person("Konrad", "Rudolph", email = "konrad.rudolph@gmail.com", role = "ctb") )
Description: Phenotype simulator allows for the flexible simulation of phenotypes under different models, including fixed and background genetic effects as well as correlated, fixed and background noise effects. Different phenotypic effects can be combined into a final phenotype while controling for the proportion of variance explained by each of the components. For each component, the number of variables, their distribution and the design of their effect across traits can be customised. The final simulated phenotypes and its components can be automatically saved into .rds or .csv files. In addition, for simulated genotypes, export into plink format is possible.
Depends: R (>= 3.3.2)
LinkingTo: Rcpp
Imports: methods, optparse, R.utils, plyr, mvtnorm, snpStats, Rcpp (>= 0.12.10)
Suggests: testthat, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-05-20 09:05:44 UTC; hannah
Author: Hannah Meyer [aut, cre], Konrad Rudolph [ctb]
Maintainer: Hannah Meyer <hannah@ebi.ac.uk>
Repository: CRAN
Date/Publication: 2017-05-21 07:02:27 UTC

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New package numGen with initial version 0.1.0
Package: numGen
Type: Package
Title: Number Series Generator
Version: 0.1.0
Author: Aiden Loe [aut,cre,cph]
Maintainer: Aiden <bsl28@cam.ac.uk>
Description: A number series generator that creates number series items based on cognitive models.
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-20 23:22:04 UTC; Aiden
Repository: CRAN
Date/Publication: 2017-05-21 07:04:48 UTC

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New package NPMOD with initial version 0.1.0
Package: NPMOD
Type: Package
Version: 0.1.0
Date: 2017-05-20
Title: Non Parametric Module
Author: Juan Pablo Paulino-Arce, Nery Sofia Huerta-Pacheco, Victor Manuel Aguirre-Torres
Maintainer: Nery Sofia Huerta-Pacheco <nehuerta@uv.mx>
Depends: R(>= 3.0.0), tcltk, gWidgets
Description: Non-Parametric Module (NPMOD) is a graphical interface dedicated to the testing of non-parametric data for educational purposes.
Imports: readxl, nortest, BSDA, RVAideMemoire, clinfun, pspearman, rlang
SystemRequirements: Tcl/Tk package
License: GPL (>= 2)
URL: http://www.uv.mx/personal/nehuerta/npmod/
NeedsCompilation: no
Encoding: UTF-8
RoxygenNote: 6.0.1
Packaged: 2017-05-20 14:48:17 UTC; sofia.huerta.p
Repository: CRAN
Date/Publication: 2017-05-21 07:04:28 UTC

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New package lagged with initial version 0.1-0
Package: lagged
Type: Package
Title: Classes and Methods for Lagged Objects
Version: 0.1-0
Date: 2017-05-20
Author: Georgi N. Boshnakov
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>
Description: Provides classes and methods for lagged objects.
Imports: methods
License: GPL (>= 2)
LazyLoad: yes
Collate: lagged.R utils.R
NeedsCompilation: no
Packaged: 2017-05-20 15:33:24 UTC; mcbssgb2
Repository: CRAN
Date/Publication: 2017-05-21 07:02:52 UTC

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Sat, 20 May 2017

New package webmockr with initial version 0.1.0
Package: webmockr
Title: Stubbing and Setting Expectations on 'HTTP' Requests
Description: Stubbing and setting expectations on 'HTTP' requests. Includes tools for stubbing 'HTTP' requests, including expected request conditions and response conditions. Match on 'HTTP' method, query parameters, request body, headers and more.
Version: 0.1.0
Authors@R: person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus+r@gmail.com")
License: MIT + file LICENSE
URL: https://github.com/ropensci/webmockr
BugReports: https://github.com/ropensci/webmockr/issues
LazyData: true
Imports: curl, jsonlite, magrittr (>= 1.5), lazyeval (>= 0.2.0), R6 (>= 2.1.3), urltools (>= 1.6.0)
Suggests: roxygen2 (>= 6.0.1), testthat, crul (>= 0.3.4)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-20 05:58:16 UTC; sacmac
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-20 07:09:44 UTC

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New package spacyr with initial version 0.9.0
Package: spacyr
Type: Package
Version: 0.9.0
Title: R Wrapper to the spaCy NLP Library
Authors@R: c( person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role = c("aut", "cre", "cph")), person("Akitaka", "Matsuo", email = "A.Matsuo@lse.ac.uk", role = "aut") )
Description: An R wrapper to the 'Python' 'spaCy' 'NLP' library, from <http://spacy.io>.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.3.0), methods
Imports: data.table, utils, reticulate
Suggests: rmarkdown, testthat, knitr
URL: http://github.com/kbenoit/spacyr
Encoding: UTF-8
BugReports: https://github.com/kbenoit/spacyr/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-19 12:56:37 UTC; kbenoit
Author: Kenneth Benoit [aut, cre, cph], Akitaka Matsuo [aut]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Repository: CRAN
Date/Publication: 2017-05-20 07:15:06 UTC

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New package quickmatch with initial version 0.1.2
Package: quickmatch
Type: Package
Title: Quick Generalized Full Matching
Version: 0.1.2
Date: 2017-05-19
Authors@R: c( person("Fredrik", "Savje", email = "fredrik.savje@berkeley.edu", role = c("aut", "cre")), person("Jasjeet", "Sekhon", role = "aut"), person("Michael", "Higgins", role = "aut"))
Description: Provides functions for constructing near-optimal generalized full matching. Generalized full matching is an extension of the original full matching method to situations with more intricate study designs. The package is made with large data sets in mind and derives matches more than an order of magnitude quicker than other methods.
Depends: R (>= 3.2.3), distances
Imports: sandwich, scclust, stats
Suggests: testthat
NeedsCompilation: yes
License: GPL (>= 3)
URL: https://github.com/fsavje/quickmatch
BugReports: https://github.com/fsavje/quickmatch/issues
Encoding: UTF-8
RoxygenNote: 6.0.1
Packaged: 2017-05-20 02:39:57 UTC; fredrik
Author: Fredrik Savje [aut, cre], Jasjeet Sekhon [aut], Michael Higgins [aut]
Maintainer: Fredrik Savje <fredrik.savje@berkeley.edu>
Repository: CRAN
Date/Publication: 2017-05-20 07:10:51 UTC

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New package gfmR with initial version 1.0-1
Package: gfmR
Type: Package
Title: Implements Group Fused Multinomial Regression
Version: 1.0-1
Date: 2017-05-11
Author: Brad Price
Maintainer: Brad Price <brad.price@mail.wvu.edu>
Depends: R (>= 3.1.0), parallel, nnet, faraway
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Description: Software to implement methodology to preform automatic response category combinations in multinomial logistic regression. There are functions for both cross validation and AIC for model selection. The method provides regression coefficient estimates that may be useful for better understanding the true probability distribution of multinomial logistic regression when category probabilities are similar. These methods are not recommended for a large number of predictor variables.
License: GPL-2
LazyLoad: yes
NeedsCompilation: yes
URL: https://www.r-project.org
Packaged: 2017-05-19 13:20:45 UTC; brad1
Repository: CRAN
Date/Publication: 2017-05-20 07:14:47 UTC

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New package EventStudy with initial version 0.30
Package: EventStudy
Type: Package
Title: Event Study Analysis in R
Description: Perform Event Studies from through our EventStudyTools.com API interface, parse the results, visualize it, and / or use the results in further analysis.
Author: Dr. Simon Mueller
Date: 2017-03-06
Version: 0.30
Encoding: UTF-8
URL: http://eventstudytools.com
Maintainer: Dr. Simon Mueller <simon.mueller@muon-stat.com>
License: GPL (>= 2)
Depends: ggplot2
Imports: shiny, miniUI, rstudioapi, httr, curl, jsonlite, magrittr (>= 1.5), data.table, dplyr, purrr, scales, tidyquant, RColorBrewer, stringr, readr
Suggests: knitr, rmarkdown
BugReports: https://github.com/EventStudyTools/api-wrapper.r/issues
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-19 23:21:30 UTC; info
Repository: CRAN
Date/Publication: 2017-05-20 07:13:18 UTC

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New package coppeCosenzaR with initial version 0.1.0
Package: coppeCosenzaR
Title: COPPE-Cosenza Fuzzy Hierarchy Model
Date: 2017-04-29
Version: 0.1.0
Authors@R: c(person("Pier", "Taranti", email = "ptaranti@gmail.com", role = c("aut","cre")), person("Leonardo", "Pessoa", role = c("aut")), person("Carlos", "Cosenza", role = c("aut")) )
Description: The program implements the COPPE-Cosenza Fuzzy Hierarchy Model. The model was based on the evaluation of local alternatives, representing regional potentialities, so as to fulfill demands of economic projects. After defining demand profiles in terms of their technological coefficients, the degree of importance of factors is defined so as to represent the productive activity. The method can detect a surplus of supply without the restriction of the distance of classical algebra, defining a hierarchy of location alternatives. In COPPE-Cosenza Model, the distance between factors is measured in terms of the difference between grades of memberships of the same factors belonging to two or more sets under comparison. The required factors are classified under the following linguistic variables: Critical (CR); Conditioning (C); Little Conditioning (LC); and Irrelevant (I). And the alternatives can assume the following linguistic variables: Excellent (Ex), Good (G), Regular (R), Weak (W), Empty (Em), Zero (Z) and Inexistent (In). The model also provides flexibility, allowing different aggregation rules to be performed and defined by the Decision Maker. Such feature is considered in this package, allowing the user to define other aggregation matrices, since it considers the same linguistic variables mentioned.
Depends: R (>= 3.2.2)
Imports: methods
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
License: GPL-2 | file LICENSE
URL: https://github.com/ptaranti/coppeCosenzaR
BugReports: https://github.com/ptaranti/coppeCosenzaR/issues
Collate: 'aggregation-matrix.R' 'aggregation-matrix-default.R' 'factor.R' 'factors-of-interest.R' 'option-factor-availability.R' 'option-resources.R' 'option.R' 'option-portfolio.R' 'project-criterion.R' 'project-criteria.R' 'project.R' 'project-portfolio.R' 'coppe-cosenza.R' 'coppe-cosenzaR.R'
NeedsCompilation: no
Packaged: 2017-05-19 15:25:13 UTC; taranti
Author: Pier Taranti [aut, cre], Leonardo Pessoa [aut], Carlos Cosenza [aut]
Maintainer: Pier Taranti <ptaranti@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-20 07:20:16 UTC

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New package castor with initial version 1.0
Package: castor
Type: Package
Title: Efficient Comparative Phylogenetics on Large Trees
Version: 1.0
Date: 2017-04-20
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>
Description: Efficient tree manipulation functions including pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distance matrices. Calculation of phylogenetic signal and mean trait depth (trait conservatism). Ancestral state reconstruction and hidden character prediction of discrete characters, using Maximum Likelihood and Maximum Parsimony methods. Simulating models of trait evolution, and generating random trees using birth-death models.
License: GPL (>= 2)
Depends: Rcpp (>= 0.12.10), naturalsort, stats
Imports: parallel
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-05-19 21:55:00 UTC; stilianoslouca
Repository: CRAN
Date/Publication: 2017-05-20 07:13:55 UTC

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Fri, 19 May 2017

New package RJSplot with initial version 2.1
Package: RJSplot
Type: Package
Version: 2.1
Date: 2017-05-17
Title: Interactive Graphs with R
Description: Creates interactive graphs with 'R'. It joins the data analysis power of R and the visualization libraries of JavaScript in one package.
URL: http://rjsplot.net
License: CC BY-NC-SA 4.0
Depends: R (>= 3.0.0)
Suggests: IRdisplay
NeedsCompilation: no
Author: Carlos Prieto <cprietos@usal.es>, David Barrios <metal@usal.es>
Maintainer: Carlos Prieto <cprietos@usal.es>
Packaged: 2017-05-19 09:47:24 UTC; dbarrios
Repository: CRAN
Date/Publication: 2017-05-19 12:51:56 UTC

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New package numKM with initial version 0.1.0
Package: numKM
Type: Package
Title: Create a Kaplan-Meier Plot with Numbers at Risk
Version: 0.1.0
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Description: To add the table of numbers at risk below the Kaplan-Meier plot.
License: GPL-3
Encoding: UTF-8
Imports: survival,graphics,stats
LazyData: true
NeedsCompilation: no
Packaged: 2017-05-19 10:24:10 UTC; dgdzc
Repository: CRAN
Date/Publication: 2017-05-19 12:52:25 UTC

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New package reportReg with initial version 0.1.0
Package: reportReg
Type: Package
Title: An Easy Way to Report Regression Analysis
Version: 0.1.0
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Description: Provides an easy way to report the results of regression analysis, including: 1. Proportional hazards regression model from function 'coxph' of package 'survival'; 2. Ordered logistic regression from function 'polr' of package 'MASS'; 3. Binary logistic regression from function 'glm' of package 'stats'; 4. Linear regression from function 'lm' of packages 'stats'.
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2017-05-10 09:30:50 UTC; dgdzc
Repository: CRAN
Date/Publication: 2017-05-19 05:59:29 UTC

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New package printr with initial version 0.1
Package: printr
Type: Package
Title: Automatically Print R Objects to Appropriate Formats According to the 'knitr' Output Format
Version: 0.1
Date: 2017-05-19
Author: Yihui Xie
Maintainer: Yihui Xie <xie@yihui.name>
Description: Extends the S3 generic function knit_print() in 'knitr' to automatically print some objects using an appropriate format such as Markdown or LaTeX. For example, data frames are automatically printed as tables, and the help() pages can also be rendered in 'knitr' documents.
Imports: knitr (>= 1.16)
Suggests: tools, rmarkdown
License: GPL
URL: https://yihui.name/printr/
BugReports: https://github.com/yihui/printr/issues
VignetteBuilder: knitr
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-18 21:08:46 UTC; yihui
Repository: CRAN
Date/Publication: 2017-05-19 06:24:13 UTC

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New package checkarg with initial version 0.1.0
Package: checkarg
Title: Check the Basic Validity of a (Function) Argument
Version: 0.1.0
Authors@R: c(person("Ivo Van Walle", "Developer", role = c("aut", "cre"), email = "ivo.van.walle@gmail.com"))
Description: Utility functions that allow checking the basic validity of a function argument or any other value, including generating an error and assigning a default in a single line of code. The main purpose of the package is to provide simple and easily readable argument checking to improve code robustness.
Depends: R (>= 3.1.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-18 17:34:46 UTC; Ivo
Author: Ivo Van Walle Developer [aut, cre]
Maintainer: Ivo Van Walle Developer <ivo.van.walle@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-19 05:57:22 UTC

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New package bgeva with initial version 0.3-1
Package: bgeva
Version: 0.3-1
Author: Giampiero Marra, Raffaella Calabrese and Silvia Angela Osmetti
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>
Title: Binary Generalized Extreme Value Additive Models
Description: Routine for fitting regression models for binary rare events with linear and nonlinear covariate effects when using the quantile function of the Generalized Extreme Value random variable.
Depends: R (>= 2.15.1), mgcv
Imports: magic, trust
LazyLoad: yes
License: GPL (>= 2)
URL: http://www.ucl.ac.uk/statistics/people/giampieromarra
Repository: CRAN
Date/Publication: 2017-05-19 06:07:36 UTC
Packaged: 2017-05-18 19:03:43 UTC; Giampiero
NeedsCompilation: no

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Thu, 18 May 2017

New package LZeroSpikeInference with initial version 1.0.1
Package: LZeroSpikeInference
Type: Package
Title: Exact Spike Train Inference via L0 Optimization
Version: 1.0.1
Authors@R: person("Sean", "Jewell", email = "swjewell@uw.edu", role = c("aut", "cre"))
Description: An implementation of algorithms described in Jewell and Witten (2017) <arXiv:1703.08644>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
Imports: graphics, stats
NeedsCompilation: no
Packaged: 2017-05-18 16:07:32 UTC; jewellsean
Author: Sean Jewell [aut, cre]
Maintainer: Sean Jewell <swjewell@uw.edu>
Repository: CRAN
Date/Publication: 2017-05-18 16:16:25 UTC

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New package osmdata with initial version 0.0.0
Package: osmdata
Version: 0.0.0
Authors@R: c( person("Mark", "Padgham", email="mark.padgham@email.com", role=c("aut", "cre")), person("Bob", "Rudis", role="aut"), person("Robin", "Lovelace", role="aut"), person("Maëlle", "Salmon", role="aut"), person("Andrew", "Smith", role="ctb"), person("Marcin", "Kalicinski", role=c("ctb", "cph"), comment="Author of included RapidXML code"), person("Finkelstein", "Noam", role=c("ctb","cph"), comment="Author of included stub.R code"), person ("Bartnik", "Lukasz", role=c("ctb","cph"), comment="Author of included stub.R code"))
Maintainer: Mark Padgham <mark.padgham@email.com>
Title: Import OpenStreetMap Data as Simple Features or Spatial Objects
Description: Download and import of "OpenStreetMap" ('OSM') data as 'sf' or 'sp' objects. 'OSM' data are extracted from the 'Overpass' web server and processed with very fast 'C++' routines for return to 'R'.
Depends: R (>= 3.2.4)
License: GPL-3
SystemRequirements: C++11
NeedsCompilation: yes
LazyData: true
Imports: curl, httr, lubridate, methods, Rcpp (>= 0.12.4), rvest, jsonlite, sp, utils, xml2
Suggests: devtools, knitr, microbenchmark, rmarkdown, roxygen2, sf, testthat
LinkingTo: Rcpp
URL: https://github.com/osmdatar/osmdata
BugReports: https://github.com/osmdatar/osmdata/issues
Encoding: UTF-8
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Packaged: 2017-05-18 15:20:27 UTC; markus
Author: Mark Padgham [aut, cre], Bob Rudis [aut], Robin Lovelace [aut], Maëlle Salmon [aut], Andrew Smith [ctb], Marcin Kalicinski [ctb, cph] (Author of included RapidXML code), Finkelstein Noam [ctb, cph] (Author of included stub.R code), Bartnik Lukasz [ctb, cph] (Author of included stub.R code)
Repository: CRAN
Date/Publication: 2017-05-18 15:38:24 UTC

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New package afc with initial version 1.4.0
Package: afc
Version: 1.4.0
Date: 2017-05-18
Title: Generalized Discrimination Score
Authors@R: c(person("Andreas", "Weigel", email="", role = "aut"), person("MeteoSwiss", "", role=c('cph')), person("Jonas", "Bhend", email="jonas.bhend@meteoswiss.ch", role = c('cre', 'ctb')))
Description: This is an implementation of the Generalized Discrimination Score (also known as Two Alternatives Forced Choice Score, 2AFC) for various representations of forecasts and verifying observations. The Generalized Discrimination Score is a generic forecast verification framework which can be applied to any of the following verification contexts: dichotomous, polychotomous (ordinal and nominal), continuous, probabilistic, and ensemble. A comprehensive description of the Generalized Discrimination Score, including all equations used in this package, is provided by Mason and Weigel (2009) <doi:10.1175/MWR-D-10-05069.1>.
License: GPL-3
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-18 15:05:00 UTC; bhj
Author: Andreas Weigel [aut], MeteoSwiss [cph], Jonas Bhend [cre, ctb]
Maintainer: Jonas Bhend <jonas.bhend@meteoswiss.ch>
Repository: CRAN
Date/Publication: 2017-05-18 15:23:57 UTC

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New package GUIgems with initial version 0.1
Type: Package
Package: GUIgems
Title: Graphical User Interface for Generalized Multistate Simulation Model
Version: 0.1
Date: 2017-04-30
Author: Zofia Baranczuk, Janne Estill, Nello Blaser, Luisa Salazar Vizcaya, Olivia Keiser
Description: A graphical user interface for the R package Gems. Apart from the functionality of Gems package in the Graphical User interface, GUIgems allows adding states to a defined model, merging states for the analysis and plotting progression paths between states based on the simulated cohort. There is also a module in the GUIgems which allows to compare costs and QALYs between different cohorts.
Maintainer: Zofia Baranczuk <zofia.baranczuk@math.uzh.ch>
Imports: rpanel, igraph, ggplot2, plyr, tools, msm, MASS, stringr, methods, utils, graphics, stats
License: GPL-3
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-05-18 13:47:23 UTC; Zofia
Repository: CRAN
Date/Publication: 2017-05-18 14:14:46 UTC

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New package uncmbb with initial version 0.1.0
Package: uncmbb
Type: Package
Title: UNC Men's Basketball Match Results Since 1949-1950 Season
Version: 0.1.0
Authors@R: c(person("Jay", "Lee", email = "joongsup@gmail.com", role = c("aut", "cre")))
Description: Dataset contains select attributes for each match result since 1949-1950 season for UNC men's basketball team.
Depends: R (>= 3.3.2)
License: CC0
Encoding: UTF-8
LazyData: true
URL: http://github.com/joongsup/uncmbb
BugReports: https://github.com/joongsup/uncmbb/issues
RoxygenNote: 5.0.1
Suggests: dplyr
NeedsCompilation: no
Packaged: 2017-05-18 12:47:38 UTC; jl939a
Author: Jay Lee [aut, cre]
Maintainer: Jay Lee <joongsup@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-18 13:47:23 UTC

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New package ccRemover with initial version 1.0.1
Package: ccRemover
Type: Package
Title: Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing Data
Version: 1.0.1
Authors@R: c( person("Jun", "Li", email = "jun.li@nd.edu",role = c("aut","cre")), person("Martin", "Barron", email = "mbarron2@nd.edu",role = c("aut")))
Description: Implements a method for identifying and removing the cell-cycle effect from scRNA-Seq data. The description of the method is in Barron M. and Li J. (2016) <doi:10.1038/srep33892>. Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data. Submitted. Different from previous methods, ccRemover implements a mechanism that formally tests whether a component is cell-cycle related or not, and thus while it often thoroughly removes the cell-cycle effect, it preserves other features/signals of interest in the data.
Depends: R (>= 2.10.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: stats, utils
NeedsCompilation: no
Packaged: 2017-05-18 05:11:03 UTC; Administrator
Author: Jun Li [aut, cre], Martin Barron [aut]
Maintainer: Jun Li <jun.li@nd.edu>
Repository: CRAN
Date/Publication: 2017-05-18 13:48:53 UTC

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New package moveVis with initial version 0.9
Package: moveVis
Type: Package
Title: Movement Data Visualization
Version: 0.9
Depends: R (>= 2.10)
Date: 2017-04-28
Authors@R: person("Jakob", "Schwalb-Willmann", email = "movevis@schwalb-willmann.de", role = c("aut", "cre"))
Description: Tools to visualize movement data of any kind, e. g by creating path animations from GPS point data.
License: GPL-3
RoxygenNote: 6.0.1
Imports: animation, xts, maptools, ggplot2, grid, rasterVis, raster, sp, geosphere, dismo, utils, grDevices, methods, stats, move, RCurl
NeedsCompilation: no
Packaged: 2017-05-18 10:46:15 UTC; jakob
Author: Jakob Schwalb-Willmann [aut, cre]
Maintainer: Jakob Schwalb-Willmann <movevis@schwalb-willmann.de>
Repository: CRAN
Date/Publication: 2017-05-18 11:33:45 UTC

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New package meltt with initial version 0.3.0
Package: meltt
Type: Package
Title: Matching Event Data by Location, Time and Type
Version: 0.3.0
Date: 2017-05-18
Author: Karsten Donnay and Eric Dunford
Maintainer: Karsten Donnay <kdonnay@gmx.net>
Description: Framework for merging and disambiguating event data based on spatiotemporal co-occurrence and secondary event characteristics. It can account for intrinsic "fuzziness" in the coding of events, varying event taxonomies and different geo-precision codes.
License: LGPL-3
Depends: R (>= 2.6)
Imports: sp, reticulate, graphics, scales, ggmap, ggplot2, plotGoogleMaps, plyr
SystemRequirements: Python (>= 2.7)
NeedsCompilation: no
Packaged: 2017-05-18 09:50:44 UTC; kdonnay
Repository: CRAN
Date/Publication: 2017-05-18 11:34:56 UTC

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New package GeneralizedUmatrix with initial version 0.9.4
Package: GeneralizedUmatrix
Type: Package
Title: Credible Visualization for Two-Dimensional Projections of Data
Version: 0.9.4
Date: 2017-05-17
Author: Michael Thrun, Alfred Ultsch
Maintainer: Michael Thrun <mthrun@mathematik.uni-marburg.de>
Description: Projections from a high-dimensional data space onto a two-dimensional plane are used to detect structures, such as clusters, in multivariate data. The generalized Umatrix is able to visualize errors of these two-dimensional scatter plots by using a 3D topographic map.
License: GPL-3
Imports: Rcpp
Suggests: matrixStats, rgl, ggplot2, grid, mgcv
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.0)
NeedsCompilation: yes
LazyLoad: yes
LazyData: TRUE
URL: https://www.uni-marburg.de/fb12/datenbionik/software-en
Encoding: UTF-8
Packaged: 2017-05-18 09:09:12 UTC; MCT
Repository: CRAN
Date/Publication: 2017-05-18 09:23:46 UTC

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New package FHDI with initial version 1.0
Package: FHDI
Version: 1.0
Date: 2017-05-13
Title: Fractional Hot Deck and Fully Efficient Fractional Imputation
Authors@R: c(person("Jongho","Im", role="aut",email="jonghoim@iastate.edu"), person("Inho","Cho", role=c("aut","cre"), email="icho@iastate.edu"), person("Jaekwang","Kim", role="aut", email="jkim@iastate.edu"))
Author: Jongho Im [aut], Inho Cho [aut, cre], Jaekwang Kim [aut]
Maintainer: Inho Cho <icho@iastate.edu>
Description: Impute general multivariate missing data with the fractional hot deck imputation.
License: GPL (>= 2)
URL: https://www.r-project.org, https://sites.google.com/view/jaekwangkim/software
BugReports: <mailto:icho@iastate.edu>
NeedsCompilation: yes
Packaged: 2017-05-17 21:20:10 UTC; ihcho_000
Repository: CRAN
Date/Publication: 2017-05-18 09:50:00 UTC

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New package dwapi with initial version 0.1.0
Package: dwapi
Title: A Client for Data.world's REST API
Version: 0.1.0
Authors@R: c( person("Rafael", "Pereira", email = "rafael.pereira@data.world", role = c("aut", "cre")), person("Triet", "Le", email = "triet.le@data.world", role = c("aut")), person("Bryon", "Jacob", email = "bryon.jacob@data.world", role = c("aut")))
Description: A set of wrapper functions for data.world's REST API endpoints.
Depends: R (>= 3.3.0)
Imports: httr, readr, rjson, xml2
Suggests: knitr, rmarkdown, testthat
License: Apache License 2.0
Encoding: UTF-8
LazyData: true
URL: https://github.com/datadotworld/dwapi-r
BugReports: https://github.com/datadotworld/dwapi-r/issues
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-12 14:26:23 UTC; rafael
Author: Rafael Pereira [aut, cre], Triet Le [aut], Bryon Jacob [aut]
Maintainer: Rafael Pereira <rafael.pereira@data.world>
Repository: CRAN
Date/Publication: 2017-05-18 09:30:21 UTC

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New package AR with initial version 1.0
Package: AR
Type: Package
Title: Another Look at the Acceptance-Rejection Method
Version: 1.0
Date: 2017-05-16
Author: Abbas Parchami (Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran)
Maintainer: Abbas Parchami <parchami@uk.ac.ir>
Description: In mathematics, 'rejection sampling' is a basic technique used to generate observations from a distribution. It is also commonly called 'the Acceptance-Rejection method' or 'Accept-Reject algorithm' and is a type of Monte Carlo method. 'Acceptance-Rejection method' is based on the observation that to sample a random variable one can perform a uniformly random sampling of the 2D cartesian graph, and keep the samples in the region under the graph of its density function. Package 'AR' is able to generate/simulate random data from a probability density function by Acceptance-Rejection method. Moreover, this package is a useful teaching resource for graphical presentation of Acceptance-Rejection method. From the practical point of view, the user needs to calculate a constant in Acceptance-Rejection method, which package 'AR' is able to compute this constant by optimization tools. Several numerical examples are provided to illustrate the graphical presentation for the Acceptance-Rejection Method.
License: LGPL (>= 3)
Imports: DISTRIB
NeedsCompilation: no
Packaged: 2017-05-18 08:08:43 UTC; parchami
Repository: CRAN
Date/Publication: 2017-05-18 08:28:44 UTC

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Wed, 17 May 2017

New package snakecase with initial version 0.4.0
Package: snakecase
Version: 0.4.0
Date: 2017-05-15
Title: Convert Strings into any Case
Description: A consistent, flexible and easy to use tool to parse and convert strings into cases like snake or camel among others.
Author: Malte Grosser <malte.grosser@gmail.com>
Maintainer: Malte Grosser <malte.grosser@gmail.com>
Depends: R (>= 3.3.3)
Imports: stringr, purrr, magrittr
Suggests: testthat, covr, tibble, purrrlyr, knitr, rmarkdown
License: GPL-3
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-17 23:13:55 UTC; MGO
Repository: CRAN
Date/Publication: 2017-05-18 03:49:12 UTC

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New package mixKernel with initial version 0.1
Package: mixKernel
Type: Package
Title: Omics Data Integration Using Kernel Methods
Version: 0.1
Date: 2017-05-17
Depends: R (>= 2.10), mixOmics, ggplot2
Imports: phyloseq, corrplot, psych, quadprog, LDRTools
Author: c(person("Jerome", "Mariette", role = c("aut", "cre"), email="jerome.mariette@inra.fr"), person("Nathalie", "Villa-Vialaneix", role = c("aut"), email="nathalie.villa-vialaneix@inra.fr"))
Maintainer: Jerome Mariette <jerome.mariette@inra.fr>
Description: Kernel-based methods are powerful methods for integrating heterogeneous types of data. mixKernel aims at providing methods to combine kernel for unsupervised exploratory analysis. Different solutions are provided to compute a meta-kernel, in a consensus way or in a way that best preserves the original topology of the data. mixKernel also integrates kernel PCA to visualize similarities between samples in a non linear space and from the multiple source point of view. Functions to assess and display important variables are also provided in the package.
License: GPL (>= 2)
Repository: CRAN
Date/Publication: 2017-05-18 03:50:57 UTC
Packaged: 2017-05-17 08:00:43 UTC; jmariette
NeedsCompilation: no
LazyData: true

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New package ROI.plugin.optimx with initial version 0.2-5
Package: ROI.plugin.optimx
Version: 0.2-5
Title: 'ROI'-Plugin 'optimx'
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Description: Enhances the R Optimization Infrastructure ('ROI') package with the 'optimx' package.
Imports: methods, stats, utils, ROI (>= 0.2-5), optimx
License: GPL-3
URL: http://R-Forge.R-project.org/projects/roi
NeedsCompilation: no
Packaged: 2017-05-17 20:06:45 UTC; florian
Repository: CRAN
Date/Publication: 2017-05-17 23:16:21 UTC

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New package ROI.plugin.msbinlp with initial version 0.2-5
Package: ROI.plugin.msbinlp
Version: 0.2-5
Title: 'Multi-Solution' Binary Linear Problem Plugin for the 'R' Optimization Interface
Authors@R: c( person("Kurt", "Hornik", role = c("aut")), person("David", "Meyer", role = c("aut")), person("Florian", "Schwendinger", role = c("aut", "cre"), email = "FlorianSchwendinger@gmx.at") )
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with the possibility to obtain multiple solutions for linear problems with binary variables. The main function is copied (with small modifications) from the relations package.
Imports: stats, methods, utils, slam, ROI (>= 0.2-5)
License: GPL-3
URL: http://R-Forge.R-project.org/projects/roi
NeedsCompilation: no
Packaged: 2017-05-17 22:40:37 UTC; florian
Author: Kurt Hornik [aut], David Meyer [aut], Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Repository: CRAN
Date/Publication: 2017-05-17 23:16:22 UTC

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New package ROI.plugin.alabama with initial version 0.2-5
Package: ROI.plugin.alabama
Version: 0.2-5
Title: 'alabama' Plugin for the 'R' Optimization Infrastructure
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Description: Enhances the R Optimization Infrastructure ('ROI') package with the 'alabama' solver for solving nonlinear optimization problems.
Imports: methods, stats, ROI (>= 0.2-5), alabama (>= 1.0.1)
License: GPL-3
URL: http://R-Forge.R-project.org/projects/roi
NeedsCompilation: no
Packaged: 2017-05-17 19:55:28 UTC; florian
Repository: CRAN
Date/Publication: 2017-05-17 23:16:24 UTC

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New package wally with initial version 1.0.8
Package: wally
Type: Package
Title: The Wally Calibration Plot for Risk Prediction Models
Version: 1.0.8
Date: 2017-04-28
Author: Paul F Blanche <paulfblanche@gmail.com>, Thomas A. Gerds <tag@biostat.ku.dk>
Maintainer: Paul F. Blanche <paulfblanche@gmail.com>
Description: A prediction model is calibrated if, roughly, for any percentage x we can expect that x subjects out of 100 experience the event among all subjects that have a predicted risk of x%. A calibration plot provides a simple, yet useful, way of assessing the calibration assumption. The Wally plot consists of a sequence of usual calibration plots. Among the plots contained within the sequence, one is the actual calibration plot which has been obtained from the data and the others are obtained from similar simulated data under the calibration assumption. It provides the investigator with a direct visual understanding of the shape and sampling variability that are common under the calibration assumption. The original calibration plot from the data is included randomly among the simulated calibration plots, similarly to a police lineup. If the original calibration plot is not easily identified then the calibration assumption is not contradicted by the data. The method handles the common situations in which the data contain censored observations and occurrences of competing events.
Depends: R (>= 2.9.0), prodlim (>= 1.4.9)
Imports: stats, riskRegression (>= 1.0.8), data.table (>= 1.10.4)
Suggests: testthat, survival
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-05-17 06:25:12 UTC; paul
Repository: CRAN
Date/Publication: 2017-05-17 07:50:29 UTC

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Tue, 16 May 2017

New package hommel with initial version 1.0
Package: hommel
Type: Package
Title: Methods for Closed Testing with Simes Inequality, in Particular Hommel's Method
Version: 1.0
Date: 2017-04-25
Author: Jelle Goeman, Rosa Meijer, Thijmen Krebs
Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>
Description: Provides methods for closed testing using Simes local tests. In particular, calculates adjusted p-values for Hommel's multiple testing method, and provides lower confidence bounds for true discovery proportions. A robust but more conservative variant of the closed testing procedure that does not require the assumption of Simes inequality is also implemented.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.9), methods
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-05-16 15:44:06 UTC; jjgoeman
Repository: CRAN
Date/Publication: 2017-05-16 22:01:14 UTC

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New package sensitivitymult with initial version 1.0.1
Package: sensitivitymult
Type: Package
Title: Sensitivity Analysis for Observational Studies with Multiple Outcomes
Version: 1.0.1
Author: Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum@wharton.upenn.edu>
Description: Sensitivity analysis for multiple outcomes in observational studies. For instance, all linear combinations of several outcomes may be explored using Scheffe projections in the comparison() function; see Rosenbaum (2016, Annals of Applied Statistics) <doi:10.1214/16-AOAS942>. Alternatively, attention may focus on a few principal components in the principal() function. The package includes parallel methods for individual outcomes, including tests in the senm() function and confidence intervals in the senmCI() function.
Imports: stats
License: GPL-2
LazyData: TRUE
NeedsCompilation: no
Packaged: 2017-05-16 21:00:58 UTC; Rosenbaum
Repository: CRAN
Date/Publication: 2017-05-16 21:50:10 UTC

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New package poisbinom with initial version 1.0.0
Package: poisbinom
Type: Package
Title: A Faster Implementation of the Poisson-Binomial Distribution
Version: 1.0.0
Date: 2017-05-16
Author: Santiago Olivella [aut, cre], Yuki Shiraito [aut, cre]
Maintainer: Santiago Olivella <olivella@unc.edu>
Description: Provides the probability, distribution, and quantile functions and random number generator for the Poisson-Binomial distribution. This package relies on FFTW to implement the discrete Fourier transform, so that it is much faster than the existing implementation of the same algorithm in R.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.10)
SystemRequirements: fftw (>= 3)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-05-16 17:47:13 UTC; olivella
Repository: CRAN
Date/Publication: 2017-05-16 19:05:49 UTC

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New package ExcessMass with initial version 1.0
Package: ExcessMass
Type: Package
Title: Excess Mass Calculation and Plots
Version: 1.0
Date: 2017-05-10
Author: Marc-Daniel Mildenberger
Maintainer: Marc-Daniel Mildenberger <mildenberger.stat@web.de>
Description: Implementation of a function which calculates the empirical excess mass for given \eqn{\lambda} and given maximal number of modes (excessm()). Offering powerful plot features to visualize empirical excess mass (exmplot()). This includes the possibility of drawing several plots (with different maximal number of modes / cut off values) in a single graph.
License: LGPL
Suggests: MASS
Packaged: 2017-05-16 15:06:53 UTC; d91137
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-05-16 15:16:45 UTC

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New package genoPlotR with initial version 0.8.6
Package: genoPlotR
Type: Package
Title: Plot Publication-Grade Gene and Genome Maps
Version: 0.8.6
Date: 2015-07-02
Author: Lionel Guy <lionel.guy@imbim.uu.se>
URL: http://genoplotr.r-forge.r-project.org/
Depends: R (>= 2.10.0), ade4, grid
Imports: methods
Maintainer: Lionel Guy <lionel.guy@imbim.uu.se>
Description: Draws gene or genome maps and comparisons between these, in a publication-grade manner. Starting from simple, common files, it will draw postscript or PDF files that can be sent as such to journals.
License: GPL (>= 2)
LazyLoad: yes
Repository: CRAN
Repository/R-Forge/Project: genoplotr
Repository/R-Forge/Revision: 60
Repository/R-Forge/DateTimeStamp: 2017-05-15 14:43:14
Date/Publication: 2017-05-16 08:56:55 UTC
NeedsCompilation: no
Packaged: 2017-05-15 15:05:36 UTC; rforge

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New package PROscorer with initial version 0.0.1
Package: PROscorer
Type: Package
Title: Functions to Score Commonly-Used Patient-Reported Outcome (PRO) Measures and Other Psychometric Instruments
Version: 0.0.1
Authors@R: person("Ray", "Baser", email="ray.stats@gmail.com", role=c("aut", "cre"))
Description: An extensible repository of accurate, up-to-date functions to score commonly used patient-reported outcome (PRO), quality of life (QOL), and other psychometric and psychological measures. 'PROscorer', together with the 'PROscorerTools' package, is a system to facilitate the incorporation of PRO measures into research studies and clinical settings in a scientifically rigorous and reproducible manner. These packages and their vignettes are intended to help establish and promote "best practices" to improve the planning, scoring, and reporting of PRO-like measures in research. The 'PROscorer' "Instrument Descriptions" vignette contains descriptions of each instrument scored by 'PROscorer', complete with references. These instrument descriptions are suitable for inclusion in formal study protocol documents, grant proposals, and manuscript Method sections. Each 'PROscorer' function is composed of helper functions from the 'PROscorerTools' package, and users are encouraged to contribute new functions to 'PROscorer'. More scoring functions are currently in development and will be added in future updates.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: http://github.com/raybaser/PROscorer
BugReports: http://github.com/raybaser/PROscorer/issues
RoxygenNote: 6.0.1
Imports: PROscorerTools
Suggests: knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-16 03:30:50 UTC; rayray2k
Author: Ray Baser [aut, cre]
Maintainer: Ray Baser <ray.stats@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-16 04:37:41 UTC

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New package LocalControl with initial version 1.0.0
Package: LocalControl
Type: Package
Title: Local Control: An R Package for Generating High Quality Comparative Effectiveness Evidence
Version: 1.0.0
Date: 2017-05-13
Author: Nicolas R. Lauve, Stuart J. Nelson, S. Stanley Young, Robert L. Obenchain, Christophe G. Lambert
Maintainer: Christophe G. Lambert <cglambert@unm.edu>
Description: Implements novel nonparametric approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes. While designed and appropriate for use in studies involving medicine and the life sciences, the package can be used in other situations involving outcomes with multiple confounders. The package implements a family of methods for nonparametric bias correction when comparing treatments in cross-sectional, case-control, and survival analysis settings, including competing risks with censoring. The approach extends to bias-corrected personalized predictions of treatment outcome differences, and analysis of heterogeneity of treatment effect-sizes across patient subgroups.
License: Apache License 2.0
SystemRequirements: C++11
LazyData: TRUE
LinkingTo: Rcpp
Imports: Rcpp, gss, cluster, lattice, stats, graphics
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-05-15 20:15:30 UTC; lambert
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2017-05-16 04:42:54 UTC

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Mon, 15 May 2017

New package HURDAT with initial version 0.1.0
Package: HURDAT
Type: Package
Title: Hurricane Re-Analysis Project
Version: 0.1.0
Authors@R: c( person("Tim", "Trice", email = "tim.trice@gmail.com", role = c("aut", "cre")), person("Chris", "Landsea", email = "Chris.Landsea@noaa.gov", role = c("aut", "dtc")))
Depends: R (>= 3.4.0)
Description: Scraped dataset of the Hurricane Research Division's Hurricane Re-Analysis Project known as HURDAT. Storm details are available for most known hurricanes and tropical storms for the Atlantic and northeastern Pacific ocean (northwestern hemisphere). See <http://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html> for more information.
URL: https://github.com/timtrice/HURDAT
BugReports: https://github.com/timtrice/HURDAT/issues
License: MIT + file LICENSE
LazyData: TRUE
Imports: dplyr (>= 0.5.0), lubridate (>= 1.6.0), magrittr (>= 1.5), purrr (>= 0.2.2), readr (>= 1.1.0), stringr (>= 1.2.0), tibble (>= 1.2), tidyr (>= 0.6.2)
Suggests: devtools, knitr, testthat, rmarkdown
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-15 16:57:41 UTC; timtrice
Author: Tim Trice [aut, cre], Chris Landsea [aut, dtc]
Maintainer: Tim Trice <tim.trice@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-15 17:36:47 UTC

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New package bamboo with initial version 0.9.17
Package: bamboo
Type: Package
Title: Protein Secondary Structure Prediction Using the Bamboo Method
Version: 0.9.17
Date: 2017-05-15
Description: Implementation of the Bamboo methods described in Li, Dahl, Vannucci, Joo, and Tsai (2014) <DOI:10.1371/journal.pone.0109832>.
Authors@R: person(given="David B.",family="Dahl",role=c("aut","cre"),email="dahl@stat.byu.edu")
URL: https://github.com/dbdahl/bamboo
BugReports: https://github.com/dbdahl/bamboo/issues
Depends: R (>= 2.10)
Imports: rscala (>= 2.1.1)
LazyData: true
License: GPL-3
NeedsCompilation: no
Packaged: 2017-05-15 15:37:36 UTC; dahl
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Repository: CRAN
Date/Publication: 2017-05-15 16:09:48 UTC

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New package issueReporter with initial version 0.1.0
Package: issueReporter
Type: Package
Title: Create Reports from GitHub Issues
Version: 0.1.0
Author: Michael Kirchner
Maintainer: Michael Kirchner <michael@kirchner.io>
URL: https://github.com/mkirch/issueReporter
BugReports: https://github.com/mkirch/issueReporter/issues
Description: Generates a report from a GitHub issue thread, using R Markdown.
Imports: rmarkdown, tint, httr, jsonlite, httpuv
License: GPL-3 | file LICENSE
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-15 15:06:13 UTC; mkirchner
Repository: CRAN
Date/Publication: 2017-05-15 15:16:54 UTC

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New package EMAtools with initial version 0.1.0
Package: EMAtools
Type: Package
Title: Data Management Tools for Real-Time Monitoring/Ecological Momentary Assessment Data
Version: 0.1.0
Authors@R: person("Evan", "Kleiman", email = "ekleiman@fas.harvard.edu", role = c("aut", "cre"))
Description: Do data management functions common in real-time monitoring (also called: ecological momentary assessment, experience sampling, micro-longitudinal) data, including centering on participant means and merging event-level data into momentary data sets where you need the events to correspond to the nearest data point in the momentary data. This is VERY early release software, and more features will be added over time.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: DataCombine
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-15 15:32:23 UTC; evan
Author: Evan Kleiman [aut, cre]
Maintainer: Evan Kleiman <ekleiman@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2017-05-15 15:39:48 UTC

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New package redux with initial version 1.0.0
Package: redux
Title: R Bindings to 'hiredis'
Version: 1.0.0
Author: Rich FitzJohn
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>
Description: A 'hiredis' wrapper that includes support for transactions, pipelining, blocking subscription, serialisation of all keys and values, 'Redis' error handling with R errors. Includes an automatically generated 'R6' interface to the full 'hiredis' 'API'. Generated functions are faithful to the 'hiredis' documentation while attempting to match R's argument semantics. Serialisation must be explicitly done by the user, but both binary and text-mode serialisation is supported.
SystemRequirements: hiredis
License: GPL-2
LazyData: true
URL: https://github.com/richfitz/redux
BugReports: https://github.com/richfitz/redux/issues
Depends: R (>= 3.2.0)
Imports: R6
Suggests: knitr, rmarkdown, sys, testthat
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-05-15 09:21:23 UTC; rich
Repository: CRAN
Date/Publication: 2017-05-15 14:11:17 UTC

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New package desctable with initial version 0.1.0
Package: desctable
Title: Produce Descriptive and Comparative Tables Easily
Version: 0.1.0
Authors@R: person("Maxime", "Wack", email = "maximewack@free.fr", role = c("aut", "cre"))
Description: Easily create descriptive and comparative tables. It makes use and integrates directly with the tidyverse family of packages, and pipes. Tables are produced as data frames/lists of data frames for easy manipulation after creation, and ready to be saved as csv, or piped to DT::datatable() or pander::pander() to integrate into reports.
Depends: R (>= 3.2.3)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/maximewack/desctable
BugReports: https://github.com/maximewack/desctable/issues
Imports: dplyr, purrr, DT, htmltools, pander
Suggests: knitr, rmarkdown, survival
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-15 12:26:28 UTC; u992093
Author: Maxime Wack [aut, cre]
Maintainer: Maxime Wack <maximewack@free.fr>
Repository: CRAN
Date/Publication: 2017-05-15 14:06:23 UTC

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New package vfcp with initial version 0.1.0
Package: vfcp
Type: Package
Date: 2017-05-14
Title: Computation of v Values for U and Copula C(U, v)
Version: 0.1.0
Author: Josef Brejcha
Maintainer: Josef Brejcha <brchjo@gmail.com>
Suggests: VineCopula, knitr, rmarkdown
Description: Computation the value of one of two uniformly distributed marginals if the copula probability value is known and the value of the second marginal is also known. Computation and plotting corresponding cumulative distribution function or survival function.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-14 17:55:26 UTC; brch
Repository: CRAN
Date/Publication: 2017-05-15 09:55:57 UTC

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New package goftte with initial version 1.0
Package: goftte
Type: Package
Title: Goodness-of-Fit for Time-to-Event Data
Version: 1.0
Date: 2017-05-12
Author: Patrick Sfumato and Jean-Marie Boher.
Maintainer: Patrick Sfumato <sfumatop@ipc.unicancer.fr>
Description: Extension of 'gof ' package to survival models.
Depends: survival, R (>= 3.0.3)
Suggests: cmprsk, rms, gof
License: GPL (>= 2.0)
LazyLoad: yes
Packaged: 2017-05-15 07:54:06 UTC; SFUMATOP
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2017-05-15 09:42:57 UTC

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New package suncalc with initial version 0.1
Package: suncalc
Version: 0.1
Date: 2017-05-15
Title: Compute Sun Position, Sunlight Phases, Moon Position and Lunar Phase
Authors@R: c( person("Vladimir", "Agafonkin", role = c("aut", "cph"), comment = "suncalc.js library/lib, https://github.com/mourner"), person("Benoit", "Thieurmel", role = c("aut", "cre"), comment = "R interface", email = "benoit.thieurmel@datastorm.fr") )
Description: R interface to 'suncalc.js' library, part of the 'SunCalc.net' project <http://suncalc.net>, for calculating sun position, sunlight phases (times for sunrise, sunset, dusk, etc.), moon position and lunar phase for the given location and time.
Imports: V8 (>= 1.5)
License: GPL-2 | file LICENSE
URL: https://github.com/datastorm-open/suncalc, https://github.com/mourner/suncalc
NeedsCompilation: no
RoxygenNote: 6.0.1
Packaged: 2017-05-15 07:09:28 UTC; Datastorm
Author: Vladimir Agafonkin [aut, cph] (suncalc.js library/lib, https://github.com/mourner), Benoit Thieurmel [aut, cre] (R interface)
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>
Repository: CRAN
Date/Publication: 2017-05-15 07:19:01 UTC

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New package PROscorerTools with initial version 0.0.1
Package: PROscorerTools
Type: Package
Title: Tools to Score Patient-Reported Outcome (PRO) and Other Psychometric Measures
Version: 0.0.1
Authors@R: person("Ray", "Baser", email="ray.stats@gmail.com", role=c("aut", "cre"))
Description: Provides a reliable and flexible toolbox to score patient-reported outcome (PRO), Quality of Life (QOL), and other psychometric measures. The guiding philosophy is that scoring errors can be eliminated by using a limited number of well-tested, well-behaved functions to score PRO-like measures. The workhorse of the package is the 'scoreScale' function, which can be used to score most single-scale measures. It can reverse code items that need to be reversed before scoring and pro-rate scores for missing item data. Currently, three different types of scores can be output: summed item scores, mean item scores, and scores scaled to range from 0 to 100. The 'PROscorerTools' functions can be used to write new functions that score more complex measures. In fact, 'PROscorerTools' functions are the building blocks of the scoring functions in the 'PROscorer' package (which is a repository of functions that score specific commonly-used instruments). Users are encouraged to use 'PROscorerTools' to write scoring functions for their favorite PRO-like instruments, and to submit these functions for inclusion in 'PROscorer' (a tutorial vignette will be added soon). The long-term vision for the 'PROscorerTools' and 'PROscorer' packages is to provide an easy-to-use system to facilitate the incorporation of PRO measures into research studies in a scientifically rigorous and reproducible manner. These packages and their vignettes are intended to help establish and promote "best practices" for scoring and describing PRO-like measures in research.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: http://github.com/raybaser/PROscorerTools
BugReports: http://github.com/raybaser/PROscorerTools/issues
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-14 23:39:02 UTC; rayray2k
Author: Ray Baser [aut, cre]
Maintainer: Ray Baser <ray.stats@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-15 05:25:34 UTC

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Sun, 14 May 2017

New package vein with initial version 0.2.1-4
Package: vein
Type: Package
Title: Vehicular Emissions Inventories
Version: 0.2.1-4
Author: Sergio Ibarra Espinosa <zergioibarra@gmail.com>
Maintainer: Sergio Ibarra Espinosa <zergioibarra@gmail.com>
Description: Emissions inventories elaboration and visualization, consists the three stages, pre-processing activity data, processing or estimating the emissions and post-processing of emissions in maps and databases.
License: MIT + file LICENSE
URL: https://github.com/ibarraespinosa/vein
BugReports: https://github.com/ibarraespinosa/vein/issues/
LazyData: no
Depends: R (>= 2.10), sp
Imports: graphics, raster, rgeos, stats, units
Suggests: knitr, rmarkdown, RColorBrewer
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-14 17:43:16 UTC; sergio
Repository: CRAN
Date/Publication: 2017-05-14 17:56:00 UTC

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New package neurohcp with initial version 0.6
Package: neurohcp
Type: Package
Title: Human Connectome Project Interface
Version: 0.6
Date: 2017-05-11
Author: John Muschelli <muschellij2@gmail.com>
Maintainer: John Muschelli <muschellij2@gmail.com>
Description: Downloads and reads data from Human 'Connectome' Project <https://db.humanconnectome.org> using Amazon Web Services ('AWS') 'S3' buckets.
License: GPL-2
LazyData: true
LazyLoad: true
Imports: digest, httr, utils, xml2 (>= 1.0.0.9001), base64enc
Suggests: dplyr, knitr, rmarkdown
RoxygenNote: 6.0.1
URL: https://db.humanconnectome.org
BugReports: https://github.com/muschellij2/neurohcp/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-14 16:28:26 UTC; johnmuschelli
Repository: CRAN
Date/Publication: 2017-05-14 17:31:02 UTC

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New package gomms with initial version 1.0
Package: gomms
Type: Package
Title: GLM-Based Ordination Method
Version: 1.0
Date: 2017-05-13
Author: Michael B. Sohn
Maintainer: Michael B. Sohn <msohn@mail.med.upenn.edu>
Description: A zero-inflated quasi-Poisson factor model to display similarity between samples visually in a low (2 or 3) dimensional space.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-05-14 00:43:31 UTC; mbsohn
Repository: CRAN
Date/Publication: 2017-05-14 17:30:27 UTC

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New package gcite with initial version 0.6
Package: gcite
Type: Package
Title: Google Citation Parser
Version: 0.6
Date: 2017-05-11
Author: John Muschelli
Maintainer: John Muschelli <muschellij2@gmail.com>
Description: Scrapes Google Citation pages and creates data frames of citations over time.
License: GPL
LazyData: true
LazyLoad: yes
Imports: xml2, httr, rvest, stats, pbapply, data.table, wordcloud, tm, graphics
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-14 16:31:18 UTC; johnmuschelli
Repository: CRAN
Date/Publication: 2017-05-14 17:26:18 UTC

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New package flexsurvcure with initial version 0.0.1
Package: flexsurvcure
Title: Flexible Parametric Cure Models
Version: 0.0.1
Date: 2017-05-13
Authors@R: person("Jordan", "Amdahl", email = "jrdnmdhl@gmail.com", role = c("aut", "cre"))
Maintainer: Jordan Amdahl <jrdnmdhl@gmail.com>
Description: Flexible parametric mixture and non-mixture cure models for time-to-event data.
Depends: survival , flexsurv
Suggests: testthat, knitr, rmarkdown
URL: https://github.com/jrdnmdhl/flexsurvcure
BugReports: https://github.com/jrdnmdhl/flexsurvcure/issues
Imports: gtools
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-14 01:27:19 UTC; jordanamdahl
Author: Jordan Amdahl [aut, cre]
Repository: CRAN
Date/Publication: 2017-05-14 17:25:49 UTC

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