Wed, 25 Apr 2018

New package logKDE with initial version 0.1.0
Package: logKDE
Type: Package
Title: Computing Log-Transformed Kernel Density Estimates for Positive Data
Version: 0.1.0
Date: 2018-04-25
Author: Hien D. Nguyen, Andrew T. Jones, and Geoffrey J. McLachlan
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>
Description: Computes log-transformed kernel density estimates for positive data using a variety of kernels. It follows the methods described in Jones, Nguyen and McLachlan (2018) <arXiv:1804.08365>.
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp, pracma
SystemRequirements: C++11
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-04-25 08:16:21 UTC; andrewjones
Repository: CRAN
Date/Publication: 2018-04-25 10:21:08 UTC

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New package ggquickeda with initial version 0.1.0
Package: ggquickeda
Title: Quickly Explore Your Data Using 'ggplot2' and Summary Tables
Version: 0.1.0
Authors@R: c( person("Samer", "Mouksassi", email = "samermouksassi@gmail.com", role = c("aut", "cre")), person("Dean", "Attali", email = "daattali@gmail.com", role = c("aut")), person("Michael", "Sachs", email = "sachsmc@gmail.com", role = c("aut"), comment = "provided ggkm code"), person("Benjamin", "Rich", email = "mail@benjaminrich.net", role = c("aut"), comment = "provided table1 code") )
Description: Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface.
URL: https://github.com/smouksassi/ggquickeda
BugReports: https://github.com/smouksassi/ggquickeda/issues
Depends: R (>= 3.1.0)
Imports: colourpicker, dplyr, DT, Formula, ggplot2, ggrepel (>= 0.7.0), grDevices, grid, gridExtra, Hmisc, lazyeval, markdown, methods, plotly, quantreg, rlang, scales, shiny (>= 1.0.4), shinyjs, stats, stringr, survival, tidyr, utils
Suggests: knitr, rmarkdown
License: MIT + file LICENSE
SystemRequirements: pandoc with https support
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-25 06:31:07 UTC; smouksas
Author: Samer Mouksassi [aut, cre], Dean Attali [aut], Michael Sachs [aut] (provided ggkm code), Benjamin Rich [aut] (provided table1 code)
Maintainer: Samer Mouksassi <samermouksassi@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-25 10:15:05 UTC

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New package equalCovs with initial version 1.0
Package: equalCovs
Type: Package
Title: Testing the Equality of Two Covariance Matrices
Version: 1.0
Date: 2018-04-15
Author: Jun Li [aut, cre], Song Xi Chen [aut], Lingjun Li [ctb], Clay James [ctb]
Maintainer: Jun Li <jli49@kent.edu>
Suggests: mvtnorm
Description: Tests the equality of two covariance matrices, used in paper "Two sample tests for high dimensional covariance matrices." Li and Chen (2012) <arXiv:1206.0917>.
License: GPL-2
Packaged: 2018-04-15 19:10:44 UTC; Administrator
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2018-04-25 10:04:27 UTC

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New package eNetXplorer with initial version 1.0
Package: eNetXplorer
Type: Package
Title: Quantitative Exploration of Elastic Net Families for Generalized Linear Models
Version: 1.0
Date: 2018-04-20
Author: Julian Candia and John S. Tsang
Maintainer: Julian Candia <julian.candia@nih.gov>
Depends: R (>= 2.10)
Imports: glmnet, stats, graphics, methods, grDevices, Matrix, progress, calibrate, RColorBrewer, gplots
Description: Provides a quantitative toolkit to explore elastic net families and to uncover correlates contributing to prediction under a cross-validation framework. Fits linear, binomial (logistic) and multinomial models. Candia J and Tsang JS (2018), (application note under review).
License: GPL-3
LazyData: true
LazyLoad: yes
NeedsCompilation: no
Packaged: 2018-04-24 19:19:44 UTC; candiajm
Repository: CRAN
Date/Publication: 2018-04-25 08:14:22 UTC

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New package egoTERGM with initial version 1.0.0
Package: egoTERGM
Date: 2018-4-18
Type: Package
Title: Estimation of Ego-Temporal Exponential Random Graph Models via Expectation Maximization (EM)
Version: 1.0.0
Authors@R: c(person(given = c("Benjamin", "W."), family = "Campbell", email = "campbell.1721@osu.edu", role = c("aut", "cre")), person(given = c("Michael"), family = "Salter-Townshend", email = "michael.salter-townshend@ucd.ie", role = "ctb"), person(given = c("Thomas", "Brendan"), family = "Murphy", email = "brendan.murphy@ucd.ie", role = "ctb"))
Author: Benjamin W. Campbell [aut, cre], Michael Salter-Townshend [ctb], Thomas Brendan Murphy [ctb]
Maintainer: Benjamin W. Campbell <campbell.1721@osu.edu>
URL: http://github.com/benjamin-w-campbell/egoTERGM
Description: Estimation of ego-temporal exponential random graph models with two-stage estimation including initialization through k-means clustering on temporal exponential random graph model parameters and EM as per Campbell (2018) <doi:10.7910/DVN/TWHEZ9>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
Depends: R (>= 3.4.0), statnet (>= 2016.9), parallel (>= 3.3.3), btergm (>= 1.9.0), xergm.common (>= 1.7.7)
Imports: boot (>= 1.3-18), ergm (>= 3.7.1), network (>= 1.13.0), stats (>= 3.3.3), sna (>= 2.4), GGally (>= 1.3.2), Matrix (>= 1.2-8), speedglm (>= 0.3-2), methods (>= 3.3.3)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-24 15:44:19 UTC; benjamincampbell
Repository: CRAN
Date/Publication: 2018-04-25 08:11:42 UTC

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Tue, 24 Apr 2018

New package mleap with initial version 0.1.0
Package: mleap
Type: Package
Title: Interface to 'MLeap'
Version: 0.1.0
Authors@R: c( person("Kevin", "Kuo", role = c("aut", "cre"), email = "kevin.kuo@rstudio.com", comment = c(ORCID = "0000-0001-7803-7901")) )
Description: A 'sparklyr' <https://spark.rstudio.com> extension that provides an interface to 'MLeap' <https://github.com/combust/mleap>, an open source library that enables exporting and serving of 'Apache Spark' pipelines.
URL: https://github.com/rstudio/mleap
BugReports: https://github.com/rstudio/mleap/issues
License: Apache License (>= 2.0)
SystemRequirements: Apache Spark 2.0+, Apache Maven 3.5+, Java JDK 8, MLeap Runtime 0.9.6+
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.2)
Imports: sparklyr, jsonlite, purrr, fs, tibble, rJava, digest
RoxygenNote: 6.0.1
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2018-04-24 21:12:57 UTC; kevinykuo
Author: Kevin Kuo [aut, cre] (<https://orcid.org/0000-0001-7803-7901>)
Maintainer: Kevin Kuo <kevin.kuo@rstudio.com>
Repository: CRAN
Date/Publication: 2018-04-24 21:32:19 UTC

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New package support with initial version 0.1.1
Package: support
Type: Package
Title: Support Points
Version: 0.1.1
Author: Simon Mak
Maintainer: Simon Mak <smak6@gatech.edu>
Description: Provides the function sp() for generating the support points proposed in Mak and Joseph (2017) <arXiv:1609.01811>. Support points are representative points of a possibly non-uniform distribution, and can be used as optimal sampling or integration points for a distribution of choice. The provided function sp() can be used to generate support points for standard distributions or for reducing big data (e.g., from Markov-chain Monte Carlo methods). A detailed description of the algorithm is found in Mak and Joseph (2017).
License: GPL (>= 2)
LazyData: TRUE
Imports: Rcpp (>= 0.12.4), randtoolbox, matrixStats, doParallel, nloptr, MHadaptive
LinkingTo: Rcpp, RcppArmadillo, BH
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-04-24 05:40:31 UTC; Simon
X-CRAN-Comment: Archived on 2018-01-25 as requirement of OpenMP was not corrected despite reminders.
Repository: CRAN
Date/Publication: 2018-04-24 15:56:39 UTC

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New package pmultinom with initial version 1.0.0
Package: pmultinom
Type: Package
Title: One-Sided Multinomial Probabilities
Version: 1.0.0
Author: Alexander Davis
Maintainer: Alexander Davis <ajdavis2@mdanderson.org>
Description: Implements multinomial CDF (P(N1<=n1, ..., Nk<=nk)) and tail probabilities (P(N1>n1, ..., Nk>nk)), as well as probabilities with both constraints (P(l1<N1<=u1, ..., lk<Nk<=uk)). Uses a method suggested by Bruce Levin (1981) <doi:10.1214/aos/1176345593>.
License: AGPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: fftw
Suggests: testthat
NeedsCompilation: no
Packaged: 2018-04-24 13:44:53 UTC; ajdavis2
Repository: CRAN
Date/Publication: 2018-04-24 15:42:54 UTC

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New package ivtools with initial version 1.0.0
Package: ivtools
Type: Package
Title: Instrumental Variables
Version: 1.0.0
Date: 2018-04-18
Author: Arvid Sjolander
Maintainer: Arvid Sjolander <arvid.sjolander@ki.se>
Description: Contains tools for instrumental variables estimation. Currently, only non-parametric bounds and two-stage least squares are implemented, but more methods will be added in the future. Balke, A. and Pearl, J. (1997) <doi:10.2307/2965583>, Vansteelandt S., Bowden J., Babanezhad M., Goetghebeur E. (2011) <doi:10.1214/11-STS360>.
License: LGPL (>= 3)
Imports: stats, data.table, numDeriv
NeedsCompilation: no
RoxygenNote: 6.0.1
Packaged: 2018-04-24 13:49:11 UTC; arvsjo
Repository: CRAN
Date/Publication: 2018-04-24 15:38:03 UTC

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New package diffeqr with initial version 0.1.0
Package: diffeqr
Type: Package
Title: Solving Differential Equations (ODEs, SDEs, DDEs, DAEs)
Version: 0.1.0
Authors@R: person("Christopher", "Rackauckas", email = "me@chrisrackauckas.com", role = c("aut", "cre"))
Description: An interface to 'DifferentialEquations.jl' from the R programming language. It has unique high performance methods for solving ordinary differential equations (ODE), stochastic differential equations (SDE), delay differential equations (DDE), differential-algebraic equations (DAE), and more. Much of the functionality, including features like adaptive time stepping in SDEs, are unique and allow for multiple orders of magnitude speedup over more common methods. 'diffeqr' attaches an R interface onto the package, allowing seamless use of this tooling by R users.
Depends: R (>= 3.4.0)
Encoding: UTF-8
License: MIT + file LICENSE
LazyData: true
SystemRequirements: Julia (>= 0.6.0), DifferentialEquations.jl
Imports: JuliaCall, stringr
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-24 15:10:52 UTC; Chris
Author: Christopher Rackauckas [aut, cre]
Maintainer: Christopher Rackauckas <me@chrisrackauckas.com>
Repository: CRAN
Date/Publication: 2018-04-24 15:52:33 UTC

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New package ggplotify with initial version 0.0.2
Package: ggplotify
Title: Convert Plot to 'grob' or 'ggplot' Object
Version: 0.0.2
Authors@R: c(person("Guangchuang", "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6485-8781")))
Description: Convert plot function call (using expression or formula) to 'grob' or 'ggplot' object that compatible to the 'grid' and 'ggplot2' ecosystem. With this package, we are able to e.g. using 'cowplot' to align plots produced by 'base' graphics, 'grid', 'lattice', 'vcd' etc. by converting them to 'ggplot' objects.
Depends: R (>= 3.4.0)
Imports: ggplot2, graphics, grDevices, grid, gridGraphics, rvcheck
Suggests: colorspace, cowplot, ggimage, knitr, lattice, prettydoc, vcd
VignetteBuilder: knitr
ByteCompile: true
License: Artistic-2.0
URL: https://github.com/GuangchuangYu/ggplotify
BugReports: https://github.com/GuangchuangYu/ggplotify/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-24 11:23:24 UTC; guangchuangyu
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-24 12:13:50 UTC

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New package QTL.gCIMapping with initial version 1.0
Package: QTL.gCIMapping
Type: Package
Title: QTL Genome-Wide Composite Interval Mapping
Version: 1.0
Date: 2018-4-11
Author: Zhang Ya-Wen, Wen Yang-Jun, Wang Shi-Bo,Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>
Description: Conduct multi-Quantitative Trait Locus (QTL) mapping under the framework of random-QTL-effect mixed linear model. First, each position on the genome is detected in order to construct a negative logarithm P-value curve against genome position. Then, all the peaks on each effect (additive or dominant) curve are viewed as potential QTL, all the effects of the potential QTL are included in a multi-QTL model, their effects are estimated by empirical Bayes in doubled haploid or by adaptive lasso in F2, and true QTL are identified by likelihood radio test. Wang S-B, Wen Y-J, Ren W-L, Ni Y-L, Zhang J, Feng J-Y, Zhang Y-M (2016) <doi:10.1038/srep29951>.
Depends: MASS,qtl,doParallel,foreach,parallel
Imports: methods,openxlsx,stringr,data.table,parcor
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-04-24 09:21:52 UTC; abc
Repository: CRAN
Date/Publication: 2018-04-24 11:44:21 UTC

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New package fuzzyreg with initial version 0.2
Package: fuzzyreg
Title: Fuzzy Linear Regression
Version: 0.2
Date: 2018-04-23
Authors@R: c(person(given = "Pavel", family = "Skrabanek", email = "pavel.skrabanek@upce.cz", role = c("aut", "cph")), person(given = "Natalia", family = "Martinkova", email = "martinkova@ivb.cz", role = c("aut", "cre", "cph")))
Maintainer: Natalia Martinkova <martinkova@ivb.cz>
Description: Estimators for fuzzy linear regression. The functions estimates parameters of fuzzy linear regression models with crisp or fuzzy independent variables (triangular fuzzy numbers are supported). Implements multiple methods for parameter estimation and algebraic operations with triangular fuzzy numbers. Includes functions for summarising, printing and plotting the model fit. Calculates predictions from the model. Diamond (1988) <doi:10.1016/0020-0255(88)90047-3> Hung & Yang (2006) <doi:10.1016/j.fss.2006.08.004> Lee & Tanaka (1999) <doi:10.15807/jorsj.42.98> Nasrabadi, Nasrabadi & Nasrabady (2005) <doi:10.1016/j.amc.2004.02.008> Tanaka, Hayashi & Watada (1989) <doi:10.1016/0377-2217(89)90431-1>.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: quadprog, limSolve, stats, graphics, grDevices
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-24 09:49:39 UTC; martinkova
Author: Pavel Skrabanek [aut, cph], Natalia Martinkova [aut, cre, cph]
Repository: CRAN
Date/Publication: 2018-04-24 10:30:00 UTC

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New package cultevo with initial version 1.0.2
Package: cultevo
Title: Tools, Measures and Statistical Tests for Cultural Evolution
Version: 1.0.2
Date: 2018-04-24
Authors@R: person("Kevin Stadler", role=c("aut", "cre"), email="a00425926@unet.univie.ac.at")
Description: Provides tools for measuring the compositionality of signalling systems (in particular the information-theoretic measure due to Spike (2016) <http://hdl.handle.net/1842/25930> and the Mantel test for distance matrix correlation (after Dietz 1983) <doi:10.1093/sysbio/32.1.21>), functions for computing string and meaning distance matrices as well as an implementation of the Page test for monotonicity of ranks (Page 1963) <doi:10.1080/01621459.1963.10500843> with exact p-values up to k = 22.
URL: https://kevinstadler.github.io/cultevo/
BugReports: https://github.com/kevinstadler/cultevo/issues
Encoding: UTF-8
License: MIT + file LICENSE
Imports: combinat, grDevices, graphics, Hmisc, pspearman, stats, stringi, utils
Suggests: memoise, knitr, rmarkdown
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-24 09:50:38 UTC; kevin
Author: Kevin Stadler [aut, cre]
Maintainer: Kevin Stadler <a00425926@unet.univie.ac.at>
Repository: CRAN
Date/Publication: 2018-04-24 10:28:19 UTC

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New package CJAMP with initial version 0.1.0
Package: CJAMP
Type: Package
Title: Copula-Based Joint Analysis of Multiple Phenotypes
Version: 0.1.0
Authors@R: c( person("Stefan", "Konigorski", email = "stefan.konigorski@gmail.com", role = c("aut", "cre")), person("Yildiz E.", "Yilmaz", email = "yyilmaz@mun.ca", role = c("ctb", "ths")))
Description: We provide a computationally efficient and robust implementation of the recently proposed C-JAMP (Copula-based Joint Analysis of Multiple Phenotypes) method (Konigorski et al., 2018, submitted). C-JAMP allows estimating and testing the association of one or multiple predictors on multiple outcomes in a joint model, and is implemented here with a focus on large-scale genome-wide association studies with two phenotypes. The use of copula functions allows modeling a wide range of multivariate dependencies between the phenotypes, and previous results are supporting that C-JAMP can increase the power of association studies to identify associated genetic variants in comparison to existing methods (Konigorski, Yilmaz, Pischon, 2016, <DOI:10.1186/s12919-016-0045-6>; Konigorski, Yilmaz, Bull, 2014, <DOI:10.1186/1753-6561-8-S1-S72>). In addition to the C-JAMP functions, functions are available to generate genetic and phenotypic data, to compute the minor allele frequency (MAF) of genetic markers, and to estimate the phenotypic variance explained by genetic markers.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: stats, optimx
Suggests: MASS, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-24 09:40:12 UTC; skonigor
Author: Stefan Konigorski [aut, cre], Yildiz E. Yilmaz [ctb, ths]
Maintainer: Stefan Konigorski <stefan.konigorski@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-24 10:00:42 UTC

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New package panelView with initial version 1.0.1
Package: panelView
Type: Package
Title: Visualizing Panel Data with Dichotomous Treatments
Version: 1.0.1
Date: 2018-04-23
Author: Licheng Liu, Yiqing Xu
Maintainer: Yiqing Xu <yiqingxu@ucsd.edu>
Description: Visualizes panel data with dichotomous treatments. 'panelView' has two main functionalities: (1) it visualizes the treatment and missing-value statuses of each observation in a panel/time-series-cross-sectional (TSCS) dataset; and (2) it plots the outcome variable (either continuous or discrete) in a time-series fashion.
URL: http://yiqingxu.org/software/panelView/panelView.html
License: GPL-2
Imports: ggplot2 (>= 2.1.0), gridExtra, grid
Depends: R (>= 2.10)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-23 17:17:44 UTC; xyq
Repository: CRAN
Date/Publication: 2018-04-24 08:33:49 UTC

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New package imdbapi with initial version 0.1.0
Package: imdbapi
Title: Get Movie, Television Data from the 'imdb' Database
Version: 0.1.0
Author: Daxuan Deng Yuan Li
Maintainer: Yuan Li <851277048@qq.com>
Description: Provides API access to the <http://imdbapi.net> which maintains metadata about movies, games and television shows through a public API.
Depends: R (>= 3.1.1)
License: GPL-3
Imports: httr, dplyr, stringr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-23 11:49:25 UTC; Kevin
Repository: CRAN
Date/Publication: 2018-04-24 08:11:08 UTC

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New package frambgrowth with initial version 0.1.0
Package: frambgrowth
Version: 0.1.0
Title: Simulation of the Growth of Framboidal and Sunflower Pyrite
Authors@R: c(person(given = "Raul", family = "Merinero", role = c("aut","cre"), email = "rmeriner@ucm.es"), person(given = "Victor", family = "Cardenes", role = "aut"))
Description: Generation of theoretical size distributions of framboidal or sunflower pyrite. The growth mechanisms used are surface and supply controlled and dependent or independent of size. The algorithms are fully described in the published work in Mineralogy and Petrology journal: "Theoretical growth of framboidal and sunflower pyrite using the R-package frambgrowth" The authors Merinero, R., and Cardenes, V. (2018). <DOI:10.1007/s00710-017-0535-x>.
LazyLoad: yes
LazyData: yes
License: GPL-2
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-23 16:55:06 UTC; Raul
Maintainer: Raul Merinero <rmeriner@ucm.es>
Author: Raul Merinero [aut, cre], Victor Cardenes [aut]
Repository: CRAN
Date/Publication: 2018-04-24 08:27:02 UTC

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New package EMVS with initial version 1.0
Package: EMVS
Type: Package
Title: The Expectation-Maximization Approach to Bayesian Variable Selection
Version: 1.0
Date: 2018-04-23
Author: Veronika Rockova [aut,cre], Gemma Moran [aut]
Maintainer: Gemma Moran <gmoran@wharton.upenn.edu>
Description: An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization paths for linear regression. Rockova and George (2014) <doi:10.1080/01621459.2013.869223>.
License: GPL-3
URL: https://doi.org/10.1080/01621459.2013.869223
Imports: Rcpp (>= 0.12.16)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-04-23 12:02:47 UTC; gem
Repository: CRAN
Date/Publication: 2018-04-24 08:13:33 UTC

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Mon, 23 Apr 2018

New package walkalytics with initial version 0.1.0
Package: walkalytics
Type: Package
Title: Interface to the 'Walkalytics' API for Calculating Walking Isochrones
Version: 0.1.0
Authors@R: person("David", "Zumbach", role = c("aut", "cre"), email = "david.zumbach@gfzb.ch")
Description: A wrapper for the 'walkalytics' API (see <https://dev.walkalytics.com/>), which is a web service that calculates walking isochrones for source locations. Basic, limited API access is free.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: https://dev.walkalytics.com
BugReports: https://github.com/zumbov2/walkalytics/issues
RoxygenNote: 6.0.1
Imports: httr, dplyr, stringr, purrr, tibble, base64enc, sp
NeedsCompilation: no
Packaged: 2018-04-23 09:32:49 UTC; David Zumbach
Author: David Zumbach [aut, cre]
Maintainer: David Zumbach <david.zumbach@gfzb.ch>
Repository: CRAN
Date/Publication: 2018-04-23 11:19:05 UTC

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New package svmplus with initial version 1.0.0
Package: svmplus
Type: Package
Title: Implementation of Support Vector Machines Plus (SVM+)
Date: 2018-04-19
Version: 1.0.0
Author: Niharika Gauraha and Ola Spjuth
Maintainer: Niharika Gauraha <niharika.gauraha@farmbio.uu.se>
Description: Implementation of Support Vector Machines Plus (SVM+) for classification problems. See (Vladimir et. al, 2009, <doi:10.1016/j.neunet.2009.06.042>) for theoretical details and see (Li et. al, 2016, <https://github.com/okbalefthanded/svmplus_matlab>) for implementation details in 'MATLAB'.
Depends: R (>= 2.15.0), quadprog, methods, Matrix, MASS
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
RoxygenNote: 6.0.1
Packaged: 2018-04-20 11:44:16 UTC; niharika
Repository: CRAN
Date/Publication: 2018-04-23 08:09:31 UTC

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New package ssgraph with initial version 1.0
Package: ssgraph
Type: Package
Title: Bayesian Graphical Estimation using Spike-and-Slab Priors
Version: 1.0
Date: 2018-04-19
Author: Reza Mohammadi <https://orcid.org/0000-0001-9538-0648>
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>
URL: https://www.uva.nl/profile/a.mohammadi
Description: For Bayesian inference in undirected graphical models using spike-and-slab priors, for multivariate continuous data. The package is implemented the recent improvements in the Bayesian graphical models literature, including Wang (2015) <doi:10.1214/14-BA916>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-04-20 12:08:39 UTC; reza
Repository: CRAN
Date/Publication: 2018-04-23 08:11:49 UTC

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New package semantic.dashboard with initial version 0.1.1
Package: semantic.dashboard
Type: Package
Title: Dashboard with Semantic UI Support for 'shiny'
Version: 0.1.1
Authors@R: c(person("Michal", "Maj", email = "michal.maj@appsilondatascience.com", role = "aut"), person("Dominik", "Krzeminski", email = "dominik@appsilondatascience.com", role = "cre"), person(family = "Appsilon Data Science", role = "cph"))
Description: Basic functions for creating semantic UI dashboard. This package adds support for a powerful UI library semantic UI - <http://semantic-ui.com/> to your dashboard and enables you to stay compatible with 'shinydashboard' functionalities.
BugReports: https://github.com/Appsilon/semantic.dashboard/issues
Encoding: UTF-8
LazyData: TRUE
License: MIT + file LICENSE
Imports: utils, shiny (>= 0.12.1), shiny.semantic (>= 0.1.2)
Suggests: testthat, lintr, shinydashboard
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-20 13:18:23 UTC; dominik
Author: Michal Maj [aut], Dominik Krzeminski [cre], Appsilon Data Science [cph]
Maintainer: Dominik Krzeminski <dominik@appsilondatascience.com>
Repository: CRAN
Date/Publication: 2018-04-23 08:16:50 UTC

More information about semantic.dashboard at CRAN
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New package ROI.plugin.qpoases with initial version 0.3-0
Package: ROI.plugin.qpoases
Version: 0.3-0
Title: 'qpOASES' Plugin for the 'R' Optimization Infrastructure
Authors@R: c( person("Florian", "Schwendinger", role = c("aut", "cre"), email = "FlorianSchwendinger@gmx.at"), person("Hans Joachim", "Ferreau", role = "cph"), person("Andreas", "Potschka", role = "cph"), person("Christian", "Kirches", role = "cph"), person("Dennis", "Janka", role = "cph"), person("Andreas", "Waechter", role = "cph") )
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with the quadratic solver 'qpOASES'. More information about 'qpOASES' can be found at <https://projects.coin-or.org/qpOASES/>.
Imports: methods, slam, Matrix, ROI (>= 0.2-5), Rcpp (>= 0.12.11)
License: GPL-3
LinkingTo: Rcpp
URL: http://R-Forge.R-project.org/projects/roi
NeedsCompilation: yes
Packaged: 2018-04-20 12:39:51 UTC; florian
Author: Florian Schwendinger [aut, cre], Hans Joachim Ferreau [cph], Andreas Potschka [cph], Christian Kirches [cph], Dennis Janka [cph], Andreas Waechter [cph]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Repository: CRAN
Date/Publication: 2018-04-23 08:13:49 UTC

More information about ROI.plugin.qpoases at CRAN
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New package echor with initial version 0.1.0
Package: echor
Type: Package
Title: Access EPA 'ECHO' Data
Version: 0.1.0
Authors@R: person("Michael", "Schramm", role = c("aut", "cre"), email = "michael.schramm@ag.tamu.edu")
Maintainer: Michael Schramm <michael.schramm@ag.tamu.edu>
Description: An R interface to United States Environmental Protection Agency (EPA) Environmental Compliance History Online ('ECHO') Application Program Interface (API). 'ECHO' provides information about EPA permitted facilities, discharges, and other reporting info associated with permitted entities. Data are obtained from <https://echo.epa.gov/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: dplyr, httr, jsonlite, lubridate, purrr, sf, tibble, tidyr, utils
Suggests: ggplot2, ggmap, ggrepel, here, httptest, kableExtra, knitr, rmarkdown
BugReports: https://github.com/mps9506/echor/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-20 18:51:56 UTC; michael.schramm
Author: Michael Schramm [aut, cre]
Repository: CRAN
Date/Publication: 2018-04-23 08:27:14 UTC

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New package BoutrosLab.plotting.general with initial version 5.9.2
Package: BoutrosLab.plotting.general
Version: 5.9.2
Type: Package
Title: Create Publication-Quality Plots
Date: 2018-04-10
Authors@R: c(person("Paul Boutros", role = c("aut", "cre"), email = "Paul.Boutros@oicr.on.ca"), person("Jennifer Aguiar", role = c("ctb")), person("Ontario Institute for Cancer Research", role = "cph"), person("The R Core Team", role = "cph"), person("The R Foundation",role = "cph"), person("Robert Gentleman", role = "ctb"), person("Ross Ihaka", role = "ctb"))
Maintainer: Paul Boutros <Paul.Boutros@oicr.on.ca>
Depends: R (>= 3.0.2), lattice (>= 0.20-27), latticeExtra (>= 0.6-26), cluster (>= 1.14.4), hexbin (>= 1.26.3), grid
Imports: gtable, e1071, tools, gridExtra, MASS(>= 7.3-29)
Suggests: Cairo (>= 1.5-1), knitr
Description: Contains several plotting functions such as barplots, scatterplots, heatmaps, as well as functions to combine plots and assist in the creation of these plots. These functions will give users great ease of use and customization options in broad use for biomedical applications, as well as general purpose plotting. Each of the functions also provides valid default settings to make plotting data more efficient and producing high quality plots with standard colour schemes simpler. All functions within this package are capable of producing plots that are of the quality to be presented in scientific publications and journals.
License: GPL-2
LazyLoad: yes
LazyData: yes
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-04-20 18:35:31 UTC; jgreen
Author: Paul Boutros [aut, cre], Jennifer Aguiar [ctb], Ontario Institute for Cancer Research [cph], The R Core Team [cph], The R Foundation [cph], Robert Gentleman [ctb], Ross Ihaka [ctb]
Repository: CRAN
Date/Publication: 2018-04-23 08:33:00 UTC

More information about BoutrosLab.plotting.general at CRAN
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New package workflowr with initial version 1.0.1
Package: workflowr
Type: Package
Title: A Framework for Reproducible and Collaborative Data Science
Date: 2018-04-20
Version: 1.0.1
Authors@R: c( person("John", "Blischak", role = c("aut", "cre"), email = "jdblischak@uchicago.edu"), person("Peter", "Carbonetto", role = c("aut")), person("Matthew", "Stephens", role = c("aut")))
Description: Combines literate programming ('knitr' and 'rmarkdown') and version control ('Git', via 'git2r') to generate a website containing time-stamped, versioned, and documented results.
URL: https://github.com/jdblischak/workflowr
BugReports: https://github.com/jdblischak/workflowr/issues
Depends: R (>= 3.2.5), rmarkdown (>= 1.7)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: callr, getPass, git2r (<= 0.21.0), glue, knitr, methods, rprojroot, rstudioapi, R.utils, stringr (>= 1.1.0), tools, utils, whisker, yaml
RoxygenNote: 6.0.1
Suggests: covr, devtools, testthat, withr
VignetteBuilder: knitr
SystemRequirements: pandoc (>= 1.12.3) - http://pandoc.org
NeedsCompilation: no
Packaged: 2018-04-20 20:08:13 UTC; jdblischak
Author: John Blischak [aut, cre], Peter Carbonetto [aut], Matthew Stephens [aut]
Maintainer: John Blischak <jdblischak@uchicago.edu>
Repository: CRAN
Date/Publication: 2018-04-23 06:27:57 UTC

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New package varrank with initial version 0.1
Package: varrank
Type: Package
Title: Heuristics Tools Based on Mutual Information for Variable Ranking
Version: 0.1
Author: Gilles Kratzer [aut, cre], Reinhard Furrer [ctb]
Maintainer: Gilles Kratzer <gilles.kratzer@math.uzh.ch>
Description: A computational toolbox of heuristics approaches for performing variable ranking and feature selection based on mutual information well adapted for multivariate system epidemiology datasets. The core function is a general implementation of the minimum redundancy maximum relevance model. R. Battiti (1994) <doi:10.1109/72.298224>. Continuous variables are discretized using a large choice of rule. Variables ranking can be learned with a sequential forward/backward search algorithm. The two main problems that can be addressed by this package is the selection of the most representative variable within a group of variables of interest (i.e. dimension reduction) and variable ranking with respect to a set of features of interest.
Encoding: UTF-8
License: GPL-3
LazyData: true
Suggests: knitr, rmarkdown, Boruta, DAAG, FSelector, caret, e1071, mlbench, psych, varSelRF, gplots
Imports: stats, FNN, grDevices
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-20 12:26:43 UTC; Kratzer
Repository: CRAN
Date/Publication: 2018-04-23 06:27:56 UTC

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New package sabre with initial version 0.2.0
Package: sabre
Version: 0.2.0
Title: Spatial Association Between Regionalizations
Description: Calculates a degree of spatial association between regionalizations or categorical maps using the information-theoretical V-measure (Nowosad and Stepinski (2018) <doi:10.17605/OSF.IO/RCJH7>). It also offers an R implementation of the MapCurve method (Hargrove et al. (2006) <doi:10.1007/s10109-006-0025-x>).
Authors@R: c(person("Jakub", "Nowosad", email = "nowosad.jakub@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1057-3721")), person("Tomasz", "Stepinski", role = c("aut")), person("Space Informatics Lab", role = c("cph")) )
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
Suggests: testthat, covr, knitr, rmarkdown
RoxygenNote: 6.0.1
Depends: R (>= 3.3.0)
Imports: sf, entropy, tidyr, dplyr, rlang, tibble
VignetteBuilder: knitr
URL: https://github.com/Nowosad/sabre
BugReports: https://github.com/Nowosad/sabre/issues
NeedsCompilation: no
Packaged: 2018-04-20 11:58:27 UTC; jn
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Tomasz Stepinski [aut], Space Informatics Lab [cph]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-23 06:27:51 UTC

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New package rdmulti with initial version 0.1
Package: rdmulti
Type: Package
Title: Analysis of RD Designs with Multiple Cutoffs or Scores
Version: 0.1
Author: Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
Maintainer: Gonzalo Vazquez-Bare <gvazquez@umich.edu>
Description: The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The 'rdmulti' package provides tools to analyze RD designs with multiple cutoffs or scores: rdmc() estimates pooled and cutoff specific effects for multi-cutoff designs, rdmcplot() draws RD plots for multi-cutoff designs and rdms() estimates effects in cumulative cutoffs or multi-score designs. See Cattaneo, Titiunik and Vazquez-Bare (2018) <https://sites.google.com/site/rdpackages/rdmulti/Cattaneo-Titiunik-VazquezBare_2018_rdmulti.pdf> for further methodological details.
Imports: rdrobust
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-20 14:51:22 UTC; gvazq
Repository: CRAN
Date/Publication: 2018-04-23 06:27:50 UTC

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New package listarrays with initial version 0.1.0
Package: listarrays
Type: Package
Title: A Toolbox for Working with R Arrays in a Functional Programming Style
Version: 0.1.0
Authors@R: person("Tomasz", "Kalinowski", email = "kalinowskit@gmail.com", role = c("aut", "cre"))
Description: A toolbox for R arrays. Flexibly split, bind, reshape, modify, subset and name arrays.
URL: https://github.com/t-kalinowski/listarrays, https://t-kalinowski.github.io/listarrays/
BugReports: https://github.com/t-kalinowski/listarrays/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 6.0.1
Suggests: testthat, magrittr, zeallot, rlang, tibble, purrr
NeedsCompilation: no
Packaged: 2018-04-21 19:01:21 UTC; tomasz
Author: Tomasz Kalinowski [aut, cre]
Maintainer: Tomasz Kalinowski <kalinowskit@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-23 06:27:44 UTC

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Sat, 21 Apr 2018

New package mlrCPO with initial version 0.3.3
Package: mlrCPO
Title: Composable Preprocessing Operators and Pipelines for Machine Learning
Description: Toolset that enriches 'mlr' with a diverse set of preprocessing operators. Composable Preprocessing Operators ("CPO"s) are first-class R objects that can be applied to data.frames and 'mlr' "Task"s to modify data, can be attached to 'mlr' "Learner"s to add preprocessing to machine learning algorithms, and can be composed to form preprocessing pipelines.
Authors@R: c( person("Martin", "Binder", email = "ma.binder@campus.lmu.de", role = c("aut", "cre")), person("Bernd", "Bischl", email = "bernd_bischl@gmx.net", role = "ctb"), person("Michel", "Lang", email = "michellang@gmail.com", role = "ctb"), person("Lars", "Kotthoff", email = "larsko@cs.ubc.ca", role = "ctb"))
URL: https://github.com/mlr-org/mlrCPO
BugReports: https://github.com/mlr-org/mlrCPO/issues
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.0.2), ParamHelpers (>= 1.10), mlr (>= 2.12)
Imports: BBmisc (>= 1.11), stringi, checkmate (>= 1.8.3), methods, stats, utils, backports (>= 1.1.0)
Suggests: party, rpart, mlbench, knitr, rmarkdown, testthat, mRMRe, care, randomForestSRC, randomForest, ranger (>= 0.8.0), Rfast, FSelector, e1071, DiscriMiner, digest, lintr, Hmisc, fastICA
LazyData: yes
ByteCompile: yes
Version: 0.3.3
Collate: 'CPOHelp.R' 'fauxCPOConstructor.R' 'auxiliary.R' 'ParamSetSugar.R' 'callInterface.R' 'FormatCheck.R' 'callCPO.R' 'properties.R' 'parameters.R' 'listCPO.R' 'makeCPO.R' 'CPO_applyFun.R' 'CPO_asNumeric.R' 'operators.R' 'NULLCPO.R' 'CPO_meta.R' 'CPO_cbind.R' 'CPO_collapseFact.R' 'CPO_dropConstants.R' 'CPO_encode.R' 'CPO_filterFeatures.R' 'CPO_fixFactors.R' 'CPO_ica.R' 'CPO_impute.R' 'CPO_makeCols.R' 'CPO_missingIndicators.R' 'CPO_modelMatrix.R' 'CPO_pca.R' 'CPO_quantileBinNumerics.R' 'CPO_regrResiduals.R' 'CPO_responseFromSE.R' 'CPO_scale.R' 'CPO_scaleMaxAbs.R' 'CPO_scaleRange.R' 'CPO_select.R' 'CPO_smote.R' 'CPO_spatialSign.R' 'CPO_subsample.R' 'CPO_wrap.R' 'RetrafoState.R' 'attributes.R' 'auxhelp.R' 'composeProperties.R' 'doublecaret.R' 'inverter.R' 'learner.R' 'makeCPOHelp.R' 'print.R' 'zzz.R'
RoxygenNote: 6.0.1.9000
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-21 15:52:21 UTC; user
Author: Martin Binder [aut, cre], Bernd Bischl [ctb], Michel Lang [ctb], Lars Kotthoff [ctb]
Maintainer: Martin Binder <ma.binder@campus.lmu.de>
Repository: CRAN
Date/Publication: 2018-04-21 21:49:58 UTC

More information about mlrCPO at CRAN
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Fri, 20 Apr 2018

New package NITPicker with initial version 0.1.1
Package: NITPicker
Type: Package
Title: Finds the Best Subset of Points to Sample
Version: 0.1.1
Author: Daphne Ezer
Maintainer: Daphne Ezer <dezer@turing.ac.uk>
Description: Given a few examples of experiments over a time (or spatial) course, 'NITPicker' selects a subset of points to sample in follow-up experiments, which would (i) best distinguish between the experimental conditions and the control condition (ii) best distinguish between two models of how the experimental condition might differ from the control (iii) a combination of the two. Ezer and Keir (2018) <doi:10.1101/301796>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: fdasrvf, fda, stats, fda.usc
URL: https://doi.org/10.1101/301796, https://daphneezer.wordpress.com
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-20 10:15:47 UTC; dezer
Repository: CRAN
Date/Publication: 2018-04-20 11:32:40 UTC

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New package refuge with initial version 0.1.1
Package: refuge
Version: 0.1.1
Title: Locate Trans and Intersex-Friendly Toilets
Description: Access the 'Refuge' API, a web-application for locating trans and intersex-friendly restrooms, including unisex and accessible restrooms. Includes data on the location of restrooms, along with directions, comments, user ratings and amenities. Coverage is global, but data is most comprehensive in the United States. See <https://www.refugerestrooms.org/api/docs/> for full API documentation.
Authors@R: person("Evan", "Odell", email = "evanodell91@gmail.com", role = c("aut", "cre"), comment = c(ORCID='0000-0003-1845-808X'))
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
Imports: jsonlite, tibble, dplyr, httr
RoxygenNote: 6.0.1
URL: https://github.com/evanodell/refuge
BugReports: https://github.com/evanodell/refuge/issues
Suggests: covr, testthat, knitr, rmarkdown, fiftystater, ggplot2, magrittr, viridis, scales, mapproj
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-18 13:44:38 UTC; evanodell
Author: Evan Odell [aut, cre] (<https://orcid.org/0000-0003-1845-808X>)
Maintainer: Evan Odell <evanodell91@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-20 10:45:30 UTC

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New package processanimateR with initial version 0.1.1
Package: processanimateR
Type: Package
Title: Process Map Token Replay Animation
Version: 0.1.1
Authors@R: person("Felix","Mannhardt", email = "felix.mannhardt@sintef.no", role = c("aut","cre"))
Description: Token replay animation for process maps created with 'processmapR' by using SVG animations ('SMIL') and the 'htmlwidget' package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: bupaR, processmapR, rlang, magrittr, dplyr, shiny, tidyr, htmlwidgets, DiagrammeR, DiagrammeRsvg, RColorBrewer, zoo, scales, shinycssloaders
Suggests: eventdataR, edeaR
RoxygenNote: 6.0.1
URL: https://github.com/fmannhardt/processanimateR/
BugReports: https://github.com/fmannhardt/processanimateR/issues
NeedsCompilation: no
Packaged: 2018-04-19 13:50:56 UTC; felixm
Author: Felix Mannhardt [aut, cre]
Maintainer: Felix Mannhardt <felix.mannhardt@sintef.no>
Repository: CRAN
Date/Publication: 2018-04-20 08:51:22 UTC

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New package C443 with initial version 1.0.0
Package: C443
Type: Package
Title: See a Forest for the Trees
Version: 1.0.0
Imports: MASS, partykit, rpart, RColorBrewer, grDevices, gridExtra, ggplot2, cluster, parallel, igraph, reshape2, qgraph, stats, graphics
LazyData: true
Date: 2018-04-18
Authors@R: c(person("Aniek","Sies",role=c("aut","cre"),email="aniek.sies@kuleuven.be"),person("Iven","Van Mechelen",role="ths"))
Description: Getting insight into a forest of classification trees, by calculating similarities between the trees, and subsequently clustering them. Each cluster is represented by it's most central cluster member. Sies, A & Van Mechelen, I. (paper submitted for publication).
License: GPL (>= 2)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-19 11:43:49 UTC; u0098197
Author: Aniek Sies [aut, cre], Iven Van Mechelen [ths]
Maintainer: Aniek Sies <aniek.sies@kuleuven.be>
Repository: CRAN
Date/Publication: 2018-04-20 08:29:09 UTC

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Thu, 19 Apr 2018

New package phenocamr with initial version 1.1.0
Package: phenocamr
Title: Facilitates 'PhenoCam' Data Access and Time Series Post-Processing
Version: 1.1.0
Authors@R: person("Hufkens","Koen", email="koen.hufkens@gmail.com", role=c("aut", "cre"))
Description: Programmatic interface to the 'PhenoCam' web services (<http://phenocam.sr.unh.edu>). Allows for easy downloading of 'PhenoCam' data directly to your R workspace or your computer and provides post-processing routines for consistent and easy timeseries outlier detection, smoothing and estimation of phenological transition dates. Methods for this package are described in detail in Hufkens et. al (2018) <doi:10.1111/2041-210X.12970>.
Depends: R (>= 3.4.0),
Imports: shiny, shinydashboard, leaflet, plotly, jsonlite, changepoint, curl, zoo, utils, graphics, DT, stats, daymetr
Suggests: covr, testthat, knitr, rmarkdown
License: AGPL-3
LazyData: true
ByteCompile: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-18 15:46:31 UTC; khufkens
Author: Hufkens Koen [aut, cre]
Maintainer: Hufkens Koen <koen.hufkens@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-19 08:19:22 UTC

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New package nomisr with initial version 0.2.0
Package: nomisr
Type: Package
Title: Access 'Nomis' UK Labour Market Data
Version: 0.2.0
Authors@R: c( person( "Evan", "Odell", email = "evanodell91@gmail.com", role = c("aut", "cre"), comment = c(ORCID='0000-0003-1845-808X')), person( "Paul", "Egeler", email = "paulegeler@gmail.com", role = c("rev", "ctb")), person( "Christophe", "Dervieux", role = c("rev"), comment = c(ORCID='0000-0003-4474-2498')) )
Description: Access UK official statistics from the 'Nomis' database. 'Nomis' includes data from the Census, the Labour Force Survey, DWP benefit statistics and other economic and demographic data from the Office for National Statistics, based around statistical geographies. See <https://www.nomisweb.co.uk/api/v01/help> for full API documentation.
URL: https://github.com/ropensci/nomisr
BugReports: https://github.com/ropensci/nomisr/issues
License: MIT + file LICENSE
Depends: R (>= 3.4.0)
Imports: jsonlite, tibble, readr, dplyr, httr, utils
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat, purrr, tidyr, magrittr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-18 14:39:58 UTC; evanodell
Author: Evan Odell [aut, cre] (<https://orcid.org/0000-0003-1845-808X>), Paul Egeler [rev, ctb], Christophe Dervieux [rev] (<https://orcid.org/0000-0003-4474-2498>)
Maintainer: Evan Odell <evanodell91@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-19 08:15:25 UTC

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New package gensvm with initial version 0.1.0
Package: gensvm
Version: 0.1.0
Date: 2018-04-04
Title: A Generalized Multiclass Support Vector Machine
Authors@R: c(person("Gertjan", "van den Burg", role=c("aut", "cre"), email="gertjanvandenburg@gmail.com"), person("Patrick", "Groenen", email="groenen@ese.eur.nl", role="ctb"))
Description: The GenSVM classifier is a generalized multiclass support vector machine (SVM). This classifier aims to find decision boundaries that separate the classes with as wide a margin as possible. In GenSVM, the loss function is very flexible in the way that misclassifications are penalized. This allows the user to tune the classifier to the dataset at hand and potentially obtain higher classification accuracy than alternative multiclass SVMs. Moreover, this flexibility means that GenSVM has a number of other multiclass SVMs as special cases. One of the other advantages of GenSVM is that it is trained in the primal space, allowing the use of warm starts during optimization. This means that for common tasks such as cross validation or repeated model fitting, GenSVM can be trained very quickly. Based on: G.J.J. van den Burg and P.J.F. Groenen (2018) <http://www.jmlr.org/papers/v17/14-526.html>.
License: GPL (>= 2)
Depends: R (>= 3.0.0)
Classification/MSC: 62H30, 68T10
URL: https://github.com/GjjvdBurg/RGenSVM http://jmlr.org/papers/v17/14-526.html
BugReports: https://github.com/GjjvdBurg/RGenSVM
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-04-18 13:45:54 UTC; gertjan
Author: Gertjan van den Burg [aut, cre], Patrick Groenen [ctb]
Maintainer: Gertjan van den Burg <gertjanvandenburg@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-19 08:23:06 UTC

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New package chorrrds with initial version 0.1.3
Package: chorrrds
Title: Music Chords Extraction
Type: Package
Version: 0.1.3
Author: Bruna Wundervald
Maintainer: Bruna Wundervald <brunadaviesw@gmail.com>
Description: Extracts music chords from the 'CifraClub' website <https://www.cifraclub.com.br/>. The package also has functions for cleaning the extracted data and feature extraction.
Depends: R (>= 3.2.3)
Suggests: ggplot2, knitr, network, stm
URL: https://github.com/brunaw/chorrrds
BugReports: https://github.com/brunaw/chorrrds/issues
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: jsonlite, httr, stringr, dplyr, plyr, XML, magrittr
NeedsCompilation: no
Packaged: 2018-04-18 12:49:49 UTC; bruna
Repository: CRAN
Date/Publication: 2018-04-19 08:01:01 UTC

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New package lspartition with initial version 0.1
Package: lspartition
Type: Package
Title: Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression
Version: 0.1
Date: 2018-04-18
Author: Matias D. Cattaneo, Max H. Farrell, Yingjie Feng
Maintainer: Yingjie Feng <yjfeng@umich.edu>
Description: Tools for statistical analysis using partitioning-based least squares regression as described in Cattaneo, Farrell and Feng (2018) <arXiv:1804.04916>. lsprobust() for nonparametric point estimation of regression functions and derivatives thereof, and for robust bias-corrected (pointwise and uniform) inference procedures. lspkselect() for data-driven procedure for selecting the IMSE-optimal number of knots. lsprobust.plot() for regression plots with robust confidence intervals and confidence bands. lsplincom() for estimation and inference for linear combinations of regression functions from different groups.
Depends: R (>= 3.1)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: ggplot2, pracma, mgcv, combinat, matrixStats, MASS
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-18 12:29:54 UTC; Administrator
Repository: CRAN
Date/Publication: 2018-04-19 07:55:16 UTC

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New package AGread with initial version 0.1.2
Package: AGread
Title: Read Data Files from ActiGraph Monitors
Version: 0.1.2
Authors@R: c( person(c("Paul", "R."), "Hibbing", email = "paulhibbing@gmail.com", role = c("aut","cre")), person(c("Vincent", "T."), "van Hees", role = "ctb"))
Description: Standardize the process of bringing various modes of output files into R. For more information, see: <https://actigraph.desk.com/customer/en/portal/articles/2515800-what-do-the-different-mode-numbers-mean-in-a-csv-or-dat-file->. Additionally, processes are provided to read and minimally pre-process raw data from primary accelerometer and inertial measurement unit files. ActiGraph monitors are used to estimate physical activity outcomes via body-worn sensors that measure (e.g.) acceleration or rotational velocity.
Depends: R (>= 2.10)
License: GPL-3 | file LICENSE
Imports: data.table (>= 1.10.4), utils (>= 3.4.3), stats (>= 3.4.3), dplyr (>= 0.5.0), seewave (>= 2.0.5), magrittr (>= 1.5),
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/paulhibbing/AGread
BugReports: https://github.com/paulhibbing/AGread/issues
NeedsCompilation: no
Packaged: 2018-04-19 02:15:32 UTC; Paul
Author: Paul R. Hibbing [aut, cre], Vincent T. van Hees [ctb]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-19 07:46:47 UTC

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Wed, 18 Apr 2018

New package MFDFA with initial version 1.0
Package: MFDFA
Type: Package
Title: MultiFractal Detrended Fluctuation Analysis
Version: 1.0
Authors@R: c( person("Mohamed","Laib", role=c("aut","cre"), email="laib.med@gmail.com"), person("Luciano","Telesca", role=c("aut"), email="Luciano.Telesca@imaa.cnr.it"), person("Mikhail","Kanevski", role=c("aut"), email="Mikhail.Kanevski@unil.ch"))
Author: Mohamed Laib [aut, cre], Luciano Telesca [aut], Mikhail Kanevski [aut]
Maintainer: Mohamed Laib <laib.med@gmail.com>
Description: Applies the MultiFractal Detrended Fluctuation Analysis (MFDFA) to time series. The MFDFA() function proposed in this package was used in Laib et al. (<doi:10.1016/j.chaos.2018.02.024> and <doi:10.1063/1.5022737>). See references for more information.
License: GPL-3
URL: https://mlaib.github.io
Note: The originale code was in matlab, see details below.
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2018-04-18 12:25:43 UTC; mlaib
Repository: CRAN
Date/Publication: 2018-04-18 12:36:47 UTC

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New package tabr with initial version 0.1.2
Package: tabr
Version: 0.1.2
Title: Create Guitar Tablature
Description: Creates guitar tablature from R code by providing functions for describing and organizing musical structures and wrapping around the 'LilyPond' backend (<http://lilypond.org>). 'LilyPond' is open source music engraving software for generating high quality sheet music based on markup language. 'tabr' provides a wrapper around this software and generates files following the 'LilyPond' markup syntax to be subsequently processed by 'LilyPond' into sheet music pdf files. A standalone 'LilyPond' file can be created or the package can make a system call to 'LilyPond' directly to render the guitar tablature output. While 'LilyPond' caters to sheet music in general, 'tabr' is focused on leveraging it specifically for creating quality guitar tablature. 'tabr' offers nominal MIDI file support in addition to its focus on tablature transcription. See the 'tuneR' package for more general use of MIDI files in R.
Authors@R: person("Matthew", "Leonawicz", email = "matt.rstat@gmail.com", role = c("aut", "cre"))
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
URL: https://github.com/leonawicz/tabr
BugReports: https://github.com/leonawicz/tabr/issues
Depends: R (>= 3.4.0)
SystemRequirements: LilyPond
Suggests: testthat, knitr, rmarkdown, covr, kableExtra
Imports: magrittr, dplyr, tibble, purrr
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-17 17:32:15 UTC; Matt
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <matt.rstat@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-18 09:03:20 UTC

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New package rbraries with initial version 0.1.0
Package: rbraries
Title: Interface to the 'Libraries.io' API
Description: Interface to the 'Libraries.io' API (<https://libraries.io/api>). 'Libraries.io' indexes data from 36 different package managers for programming languages.
Version: 0.1.0
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>
License: MIT + file LICENSE
URL: https://github.com/ropenscilabs/rbraries
BugReports: https://github.com/ropenscilabs/rbraries/issues
Imports: jsonlite (>= 1.5), crul (>= 0.5.0), fauxpas, data.table, tibble
Suggests: testthat
RoxygenNote: 6.0.1
X-schema.org-applicationCategory: Web
X-schema.org-keywords: http, API, web-services, package, software, metadata
X-schema.org-isPartOf: https://ropensci.org
NeedsCompilation: no
Packaged: 2018-04-17 14:43:28 UTC; sckott
Repository: CRAN
Date/Publication: 2018-04-18 08:37:00 UTC

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New package monotonicity with initial version 1.0
Package: monotonicity
Type: Package
Title: Test for Monotonicity in Expected Asset Returns, Sorted by Portfolios
Version: 1.0
Authors@R: c(person(given = "Siegfried", family = "Köstlmeier", role = c("aut", "cre", "trl"), email = "siegfried.koestlmeier@gmail.com"))
Maintainer: Siegfried Köstlmeier <siegfried.koestlmeier@gmail.com>
Description: Test for monotonicity in financial variables sorted by portfolios. It is conventional practice in empirical research to form portfolios of assets ranked by a certain sort variable. A t-test is then used to consider the mean return spread between the portfolios with the highest and lowest values of the sort variable. Yet comparing only the average returns on the top and bottom portfolios does not provide a sufficient way to test for a monotonic relation between expected returns and the sort variable. This package provides nonparametric tests for the full set of monotonic patterns by Patton, A. and Timmermann, A. (2010) <doi:10.1016/0304-4076(89)90094-8> and compares the proposed results with extant alternatives such as t-tests, Bonferroni bounds, and multivariate inequality tests through empirical applications and simulations.
License: BSD_3_clause + file LICENSE
Imports: lmtest, MASS, sandwich, stats, methods, utils
Depends: R (>= 3.3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-17 13:39:59 UTC; Siegfried
Author: Siegfried Köstlmeier [aut, cre, trl]
Repository: CRAN
Date/Publication: 2018-04-18 08:34:33 UTC

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Tue, 17 Apr 2018

New package SI with initial version 0.1.0
Package: SI
Type: Package
Title: Stochastic Integrating
Version: 0.1.0
Author: Jinhong Du
Maintainer: Jinhong Du <jayduking@gmail.com>
Description: An implementation of four stochastic methods of integrating in R, including: 1. Stochastic Point Method (or Monte Carlo Method); 2. Mean Value Method; 3. Important Sampling Method; 4. Stratified Sampling Method. It can be used to estimate one-dimension or multi-dimension integration by Monte Carlo methods. And the estimated variance (precision) is given. Reference: Caflisch, R. E. (1998) <doi:10.1017/S0962492900002804>.
License: GPL
Encoding: UTF-8
LazyData: true
Date: 2018-04-13
Depends: R (>= 3.0.1), stats (>= 3.3.2)
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-17 11:07:42 UTC; dujinhong
Repository: CRAN
Date/Publication: 2018-04-17 11:53:28 UTC

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New package kde1d with initial version 0.1.2
Package: kde1d
Type: Package
Title: Univariate Kernel Density Estimation
Version: 0.1.2
Authors@R: c( person("Thomas", "Nagler",, "mail@tnagler.com", role = c("aut", "cre")), person("Thibault", "Vatter",, "thibault.vatter@gmail.com", role = c("aut")) )
Description: Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) <arXiv:1303.4121>, Geenens and Wang (2018) <arXiv:1602.04862>, Nagler (2018a) <arXiv:1704.07457>, Nagler (2018b) <arXiv:1705.05431>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: BH, Rcpp, RcppEigen
Imports: cctools, graphics, Rcpp, qrng, stats, utils
RoxygenNote: 6.0.1
Suggests: testthat
URL: https://github.com/tnagler/kde1d
BugReports: https://github.com/tnagler/kde1d/issues
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2018-04-17 08:49:13 UTC; n5
Author: Thomas Nagler [aut, cre], Thibault Vatter [aut]
Maintainer: Thomas Nagler <mail@tnagler.com>
Repository: CRAN
Date/Publication: 2018-04-17 09:59:17 UTC

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New package segregation with initial version 0.0.1
Package: segregation
Type: Package
Title: Entropy-Based Segregation Indices
Version: 0.0.1
Authors@R: person("Benjamin", "Elbers", email = "be2239@columbia.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5392-3448"))
Description: Computes entropy-based segregation indices, as developed by Theil (1971) <isbn:978-0471858454>, with a focus on the Mutual Information Index (M). The M, further described by Mora and Ruiz-Castillo (2011) <doi:10.1111/j.1467-9531.2011.01237.x> and Frankel and Volij (2011) <doi:10.1016/j.jet.2010.10.008>, is a measure of segregation that is highly decomposable. The package provides tools to decompose the index by units and groups (local segregation), and by within and between terms. Includes standard error estimation by bootstrapping.
License: MIT + file LICENSE
Imports: data.table
Encoding: UTF-8
LazyData: true
Suggests: tibble, testthat
URL: http://github.com/elbersb/segregation
BugReports: http://github.com/elbersb/segregation/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-16 13:18:43 UTC; benjamin
Author: Benjamin Elbers [aut, cre] (<https://orcid.org/0000-0001-5392-3448>)
Maintainer: Benjamin Elbers <be2239@columbia.edu>
Repository: CRAN
Date/Publication: 2018-04-17 08:11:34 UTC

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New package germinationmetrics with initial version 0.1.0
Package: germinationmetrics
Title: Seed Germination Indices and Curve Fitting
Version: 0.1.0
Authors@R: c( person(c("J.", "Aravind"), email = "j.aravind@icar.gov.in", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4791-442X")), person(c("S.", "Vimala Devi"), email = "vimala.devi@icar.gov.in", role = "aut"), person(c("J.", "Radhamani"), email = "jalli.radhamani@icar.gov.in", role = "aut"), person(c("Sherry Rachel", "Jacob"), email = "Sherry.Jacob@icar.gov.in", role = "aut"), person(c("Kalyani", "Srinivasan"), email = "kalyani.srinivasan@icar.gov.in", role = "aut"), person("ICAR-NBGPR", role = "cph"))
Description: Provides functions to compute various germination indices such as germinability, median germination time, mean germination time, mean germination rate, speed of germination, Timson's index, germination value, coefficient of uniformity of germination, uncertainty of germination process, synchrony of germination etc. from germination count data. Includes functions for fitting cumulative seed germination curves using four-parameter hill function and computation of associated parameters. See the vignette for more, including full list of citations for the methods implemented.
Copyright: 2017-2018, ICAR-NBPGR
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.1)
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Imports: broom, ggplot2, ggrepel, minpack.lm, plyr, Rdpack, utils, stats
Suggests: knitr, rmarkdown, pander
RdMacros: Rdpack
URL: https://github.com/aravind-j/germinationmetrics, https://aravind-j.github.io/germinationmetrics/
BugReports: https://github.com/aravind-j/germinationmetrics/issues
NeedsCompilation: no
Packaged: 2018-04-16 21:07:59 UTC; J. Aravind
Author: J. Aravind [aut, cre] (<https://orcid.org/0000-0002-4791-442X>), S. Vimala Devi [aut], J. Radhamani [aut], Sherry Rachel Jacob [aut], Kalyani Srinivasan [aut], ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.gov.in>
Repository: CRAN
Date/Publication: 2018-04-17 08:14:24 UTC

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New package geojsonsf with initial version 0.2.0
Package: geojsonsf
Type: Package
Title: GeoJSON to Simple Feature Converter
Version: 0.2.0
Authors@R: c( person("David", "Cooley", ,"dcooley@symbolix.com.au", role = c("aut", "cre")) )
Description: Converts GeoJSON to simple feature objects.
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, rapidjsonr
Imports: Rcpp, rapidjsonr
RoxygenNote: 6.0.1
Suggests: covr, testthat
NeedsCompilation: yes
Packaged: 2018-04-17 03:38:27 UTC; david
Author: David Cooley [aut, cre]
Maintainer: David Cooley <dcooley@symbolix.com.au>
Repository: CRAN
Date/Publication: 2018-04-17 08:34:25 UTC

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New package DrInsight with initial version 0.1.0
Package: DrInsight
Title: Drug Repurposing: Integration and Systematic Investigation of Genomic High Throughput Data
Version: 0.1.0
Author: Jinyan Chan [aut, cre], Jinghua Gu [aut]
Maintainer: Jinyan Chan <Jinyan_Chan@baylor.edu>
Description: This is a connectivity mapping-based drug repurposing tool that identifies drugs that can potentially reverse query disease phenotype or have similar functions with query drugs.
Depends: R (>= 3.4.0),igraph (>= 1.1.2), qusage (>= 2.12.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
Suggests: knitr (<= 1.18),rmarkdown (<= 1.8)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-16 19:08:52 UTC; bswhemployee
Repository: CRAN
Date/Publication: 2018-04-17 08:17:57 UTC

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Mon, 16 Apr 2018

New package cvcrand with initial version 0.0.2
Package: cvcrand
Type: Package
Title: Efficient Design and Analysis of Cluster Randomized Trials
Version: 0.0.2
Date: 2018-4-16
Authors@R: c(person(given = "Hengshi", family = "Yu", role = c("aut", "cre"), email="hengshi@umich.edu"), person(given = "John A.", family = "Gallis", role ="aut", email = "john.gallis@duke.edu"), person(given = "Fan", family = "Li", role ="aut", email = "frank.li@duke.edu"), person(given = "Elizabeth L.", family = "Turner", role ="aut", email = "liz.turner@duke.edu"))
Maintainer: Hengshi Yu <hengshi@umich.edu>
Description: Constrained randomization by Raab and Butcher (2001) <doi:10.1002/1097-0258(20010215)20:3%3C351::AID-SIM797%3E3.0.CO;2-C> is suitable for cluster randomized trials (CRTs) with a small number of clusters (e.g., 20 or fewer). The procedure of constrained randomization is based on the baseline values of some cluster-level covariates specified. The intervention effect on the individual outcome can then be analyzed through clustered permutation test introduced by Gail, et al. (1996) <doi:10.1002/(SICI)1097-0258(19960615)15:11%3C1069::AID-SIM220%3E3.0.CO;2-Q>. Motivated from Li, et al. (2016) <doi:10.1002/sim.7410>, the package performs constrained randomization on the baseline values of cluster-level covariates and cluster permutation test on the individual-level outcome for cluster randomized trials.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 3.4.0)
Imports: tableone
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-16 21:05:03 UTC; Hengshi Yu (Oliver)
Author: Hengshi Yu [aut, cre], John A. Gallis [aut], Fan Li [aut], Elizabeth L. Turner [aut]
Repository: CRAN
Date/Publication: 2018-04-16 22:13:27 UTC

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New package bisect with initial version 0.9.0
Package: bisect
Title: Estimating Cell Type Composition from Methylation Sequencing Data
Version: 0.9.0
Maintainer: Eyal Fisher <ef388@cam.ac.uk>
Author: Eyal Fisher [aut, cre]
Description: An implementation of Bisect, a method for inferring cell type composition of samples based on methylation sequencing data (Whole Genome Bisulfite Sequencing and Reduced Representation Sequencing). The method is specifically tailored for sequencing data, and therefore works better than methods developed for methylation arrays. It contains a supervised mode that requires a reference (the methylation probabilities in the pure cell types), and a semi-supervised mode, that requires cell counts for a subset of the samples, but does not require a reference.
URL: https://github.com/EyalFisher/BiSect
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: dplyr, knitr, rmarkdown, tidyr, sirt, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-15 19:40:58 UTC; eyal
Repository: CRAN
Date/Publication: 2018-04-16 16:34:49 UTC

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New package staRdom with initial version 1.0.3
Package: staRdom
Type: Package
Title: PARAFAC Analysis of EEMs from DOM
Version: 1.0.3
Date: 2018-04-16
Authors@R: c(person("Matthias", "Pucher", email = "matthias.pucher@wcl.ac.at", role = c("aut", "cre")), person("Daniel", "Graeber", email = "daniel.graeber@ufz.de", role = c("aut", "ctb")), person("Stefan", "Preiner", email = "stefan.preiner@boku.ac.at", role = c("ctb")), person("Renata", "Pinto", email = "renatamspinto@sapo.pt", role = c("ctb")), person("Nora Maria", "Zechmeister", role = c("ctb"), comment ="creator of logo"), person("Christoph", "Zechmeister", role = c("ctb"), comment ="creator of logo"))
Depends: R (>= 3.3), dplyr (>= 0.7.4), tidyr (>= 0.7.1), ggplot2 (>= 2.2.1), eemR (>= 0.1.5)
Description: This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.
License: AGPL
Encoding: UTF-8
LazyData: true
Imports: stringr (>= 1.2.0), pracma (>= 2.1.1), tools (>= 3.3), readr (>= 1.1.1), zoo (>= 1.8), tibble (>= 1.3), multiway (>= 1.0), plotly (>= 4.7), parallel (>= 3.4), GGally (>= 1.3), graphics (>= 3.3), doParallel (>= 1.0.11), drc (>= 3.0-1), foreach (>= 1.4.4)
Suggests: xlsx, knitr, kableExtra, rmarkdown, knitcitations
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-16 12:57:38 UTC; maetz
Author: Matthias Pucher [aut, cre], Daniel Graeber [aut, ctb], Stefan Preiner [ctb], Renata Pinto [ctb], Nora Maria Zechmeister [ctb] (creator of logo), Christoph Zechmeister [ctb] (creator of logo)
Maintainer: Matthias Pucher <matthias.pucher@wcl.ac.at>
Repository: CRAN
Date/Publication: 2018-04-16 14:20:04 UTC

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New package SimRepeat with initial version 0.1.0
Package: SimRepeat
Type: Package
Title: Simulation of Correlated Systems of Equations with Multiple Variable Types
Version: 0.1.0
Author: Allison Cynthia Fialkowski
Maintainer: Allison Cynthia Fialkowski <allijazz@uab.edu>
Description: Generate correlated systems of statistical equations which represent repeated measurements or clustered data. These systems contain either: a) continuous normal, non-normal, and mixture variables based on the techniques of Headrick and Beasley (2004) <DOI:10.1081/SAC-120028431> or b) continuous (normal, non-normal and mixture), ordinal, and count (regular or zero-inflated, Poisson and Negative Binomial) variables based on the hierarchical linear models (HLM) approach. Headrick and Beasley's method for continuous variables calculates the beta (slope) coefficients based on the target correlations between independent variables and between outcomes and independent variables. The package provides functions to calculate the expected correlations between outcomes, between outcomes and error terms, and between outcomes and independent variables, extending Headrick and Beasley's equations to include mixture variables. These theoretical values can be compared to the simulated correlations. The HLM approach requires specification of the beta coefficients, but permits group and subject-level independent variables, interactions among independent variables, and fixed and random effects, providing more flexibility in the system of equations. Both methods permit simulation of data sets that mimic real-world clinical or genetic data sets (i.e. plasmodes, as in Vaughan et al., 2009, <10.1016/j.csda.2008.02.032>). The techniques extend those found in the 'SimMultiCorrData' and 'SimCorrMix' packages. Standard normal variables with an imposed intermediate correlation matrix are transformed to generate the desired distributions. Continuous variables are simulated using either Fleishman's third-order (<DOI:10.1007/BF02293811>) or Headrick's fifth-order (<DOI:10.1016/S0167-9473(02)00072-5>) power method transformation (PMT). Simulation occurs at the component-level for continuous mixture distributions. These components are transformed into the desired mixture variables using random multinomial variables based on the mixing probabilities. The target correlation matrices are specified in terms of correlations with components of continuous mixture variables. Binary and ordinal variables are simulated by discretizing the normal variables at quantiles defined by the marginal distributions. Count variables are simulated using the inverse CDF method. There are two simulation pathways for the multi-variable type systems which differ by intermediate correlations involving count variables. Correlation Method 1 adapts Yahav and Shmueli's 2012 method <DOI:10.1002/asmb.901> and performs best with large count variable means and positive correlations or small means and negative correlations. Correlation Method 2 adapts Barbiero and Ferrari's 2015 modification of the 'GenOrd' package <DOI:10.1002/asmb.2072> and performs best under the opposite scenarios. There are three methods available for correcting non-positive definite correlation matrices. The optional error loop may be used to improve the accuracy of the final correlation matrices. The package also provides function to check parameter inputs and summarize the simulated systems of equations.
Depends: R (>= 3.4.0), SimMultiCorrData (>= 0.2.1), SimCorrMix (>= 0.1.0)
License: GPL-2
Imports: BB, nleqslv, MASS, Matrix, VGAM, triangle, ggplot2, grid, stats, utils
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, printr, bookdown, nlme, reshape2, testthat
VignetteBuilder: knitr
URL: https://github.com/AFialkowski/SimRepeat
NeedsCompilation: no
Packaged: 2018-04-16 11:30:02 UTC; Allison
Repository: CRAN
Date/Publication: 2018-04-16 14:09:07 UTC

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New package effectsizescr with initial version 0.1.0
Package: effectsizescr
Type: Package
Title: Indices for Single-Case Research
Version: 0.1.0
Author: Isabella Giammusso
Maintainer: Isabella Giammusso <isabella.giammusso@unipa.it>
Description: Parametric and nonparametric statistics for single-case design. Regarding nonparametric statistics, the index suggested by Parker, Vannest, Davis and Sauber (2011) <doi:10.1016/j.beth.2010.08.006> was included. It combines both nonoverlap and trend to estimate the effect size of a treatment in a single case design.
Depends: R (>= 2.15)
Imports: Kendall
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-04-16 09:53:34 UTC; ws1
Repository: CRAN
Date/Publication: 2018-04-16 14:04:35 UTC

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New package CBDA with initial version 1.0.0
Package: CBDA
Type: Package
Title: Compressive Big Data Analytics
Version: 1.0.0
Authors@R: c(person("Simeone", "Marino", role = c("aut", "cre"),email = "simeonem@umich.edu"), person("Ivo", "Dinov", role = "aut"))
Maintainer: Simeone Marino <simeonem@umich.edu>
Description: Classification performed on Big Data. It uses concepts from compressive sensing, and implements ensemble predictor (i.e., 'SuperLearner') and knockoff filtering as the main machine learning and feature mining engines.
License: GPL-3
URL: https://github.com/SOCR/CBDA
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: stats , utils , prettydoc , foreach , SuperLearner, parallel , doParallel
Depends: R(>= 3.3.0)
VignetteBuilder: knitr
Suggests: knitr, rmarkdown , FNN , e1071 , missForest , knockoff , caret , smotefamily , xgboost , bartMachine , glmnet , randomForest
NeedsCompilation: no
Packaged: 2018-04-13 21:30:14 UTC; simeonem
Author: Simeone Marino [aut, cre], Ivo Dinov [aut]
Repository: CRAN
Date/Publication: 2018-04-16 14:56:33 UTC

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New package iilasso with initial version 0.0.1
Package: iilasso
Type: Package
Title: Independently Interpretable Lasso
Version: 0.0.1
Date: 2018-04-16
Author: Masaaki Takada
Maintainer: Masaaki Takada <tkdmah@gmail.com>
Description: Efficient algorithms for fitting linear / logistic regression model with Independently Interpretable Lasso. Takada, M., Suzuki, T., & Fujisawa, H. (2018). Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables. AISTATS. <http://proceedings.mlr.press/v84/takada18a/takada18a.pdf>.
License: MIT + file LICENSE
Imports: Rcpp, Matrix
LinkingTo: Rcpp, BH
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, MASS, parallel
VignetteBuilder: knitr
URL: http://proceedings.mlr.press/v84/takada18a/takada18a.pdf
NeedsCompilation: yes
Packaged: 2018-04-15 15:13:14 UTC; takada
Repository: CRAN
Date/Publication: 2018-04-16 11:31:06 UTC

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New package apaText with initial version 0.1.1
Package: apaText
Type: Package
Title: Create R Markdown Text for Results in the Style of the American Psychological Association (APA)
Version: 0.1.1
Authors@R: person("David", "Stanley", , "dstanley@uoguelph.ca", role = c("aut", "cre"))
Description: Create APA style text from analyses for use within R Markdown documents. Descriptive statistics, confidence intervals, and cell sizes are reported.
License: MIT License + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.2)
Imports: stats, dplyr
Suggests: apaTables
Date: 2018-04-14
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-14 12:28:48 UTC; dstanley
Author: David Stanley [aut, cre]
Maintainer: David Stanley <dstanley@uoguelph.ca>
Repository: CRAN
Date/Publication: 2018-04-16 10:37:43 UTC

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New package WebPower with initial version 0.5
Package: WebPower
Title: Basic and Advanced Statistical Power Analysis
Version: 0.5
Date: 2018-04-01
Authors@R: c(person("Zhiyong", "Zhang", role = c("aut", "cre"), email = "johnnyzhz@gmail.com"), person("Yujiao", "Mai", role = "aut"), person("Miao", "Yang", role = "ctb", email = "Miao.Yang.100@nd.edu"))
Author: Zhiyong Zhang [aut, cre], Yujiao Mai [aut], Miao Yang [ctb]
Maintainer: Zhiyong Zhang <johnnyzhz@gmail.com>
Depends: R (>= 3.2.5), MASS, stats, grDevices, graphics, lme4, lavaan, parallel, PearsonDS
License: GPL (>= 3)
Description: This is a collection of tools for conducting both basic and advanced statistical power analysis including correlation, proportion, t-test, one-way ANOVA, two-way ANOVA, linear regression, logistic regression, Poisson regression, mediation analysis, longitudinal data analysis, structural equation modeling and multilevel modeling. It also serves as the engine for conducting power analysis online at <https://webpower.psychstat.org>.
URL: https://webpower.psychstat.org
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
Packaged: 2018-04-13 14:22:24 UTC; johnny
Repository: CRAN
Date/Publication: 2018-04-16 09:08:06 UTC

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New package smartsizer with initial version 1.0.0
Package: smartsizer
Type: Package
Title: Power Analysis for a SMART Design
Version: 1.0.0
Authors@R: person("William", "Artman", email = "William_Artman@URMC.Rochester.edu", role = c("aut", "cre"))
Description: A set of tools for determining the necessary sample size in order to identify the optimal dynamic treatment regime in a sequential, multiple assignment, randomized trial (SMART). Utilizes multiple comparisons with the best methodology to adjust for multiple comparisons. Designed for an arbitrary SMART design. Please see Artman (2018) <arXiv:1804.04587> for more details.
Depends: R (>= 3.4.0)
Imports: MASS (>= 7.3-47)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-13 13:08:45 UTC; Willi
Author: William Artman [aut, cre]
Maintainer: William Artman <William_Artman@URMC.Rochester.edu>
Repository: CRAN
Date/Publication: 2018-04-16 09:04:09 UTC

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New package riingo with initial version 0.1.0
Package: riingo
Type: Package
Title: An R Interface to the 'Tiingo' Stock Price API
Version: 0.1.0
Authors@R: c( person("Davis", "Vaughan", email = "dvaughan@business-science.io", role = c("aut", "cre")), person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut")) )
Maintainer: Davis Vaughan <dvaughan@business-science.io>
Description: Functionality to download stock prices, cryptocurrency data, and more from the 'Tiingo' API <https://api.tiingo.com/>.
URL: https://github.com/business-science/riingo
BugReports: https://github.com/business-science/riingo/issues
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 6.0.1
LazyData: true
Depends: R (>= 2.10)
Imports: crayon (>= 1.3.4), glue (>= 1.2.0), httr (>= 1.3.1), jsonlite (>= 1.5), tibble (>= 1.4.2), rlang (>= 0.2.0), purrr (>= 0.2.4)
Suggests: dplyr (>= 0.7.4), testthat, covr
NeedsCompilation: no
Packaged: 2018-04-13 17:51:43 UTC; davisvaughan
Author: Davis Vaughan [aut, cre], Matt Dancho [aut]
Repository: CRAN
Date/Publication: 2018-04-16 09:14:12 UTC

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New package loggle with initial version 1.0
Package: loggle
Title: Local Group Graphical Lasso Estimation
Version: 1.0
Date: 2018-04-11
Author: Jilei Yang, Jie Peng
Maintainer: Jilei Yang <jlyang@ucdavis.edu>
Description: Provides a set of methods that learn time-varying graphical models based on data measured over a temporal grid. The underlying statistical model is motivated by the needs to describe and understand evolving interacting relationships among a set of random variables in many real applications, for instance the study of how stocks interact with each other and how such interactions change over time. The time-varying graphical models are estimated under the assumption that the graph topology changes gradually over time. For more details on estimating time-varying graphical models, please refer to: Yang, J. & Peng, J. (2018) <arXiv:1804.03811>.
Depends: R (>= 3.0.2)
Imports: Matrix (>= 1.2), doParallel (>= 1.0.8), foreach (>= 1.2.0), igraph (>= 0.7), glasso (>= 1.8), sm
Suggests: sparseMVN, matrixcalc, XML, RCurl, quantmod
License: GPL (>= 2)
NeedsCompilation: yes
URL: https://github.com/jlyang1990/loggle
Packaged: 2018-04-13 21:22:17 UTC; jlyang
Repository: CRAN
Date/Publication: 2018-04-16 09:16:59 UTC

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New package newTestSurvRec with initial version 1.0.2
Package: newTestSurvRec
Type: Package
Title: Statistical Tests to Compare Curves with Recurrent Events
Version: 1.0.2
Date: 2018-04-01
Depends: R (>= 3.4.0)
Author: Dr Carlos Miguel Martinez Manrique
Maintainer: Carlos Martinez <cmmm7031@gmail.com>
Description: Implements the routines to compare the survival curves with recurrent events, including the estimations of survival curves. The first model is a model for recurrent event, when the data are correlated or not correlated. It was proposed by Wang and Chang (1999) <doi:10.2307/2669690>. In the independent case, the survival function can be estimated by the generalization of the limit product model of Pena (2001) <doi:10.1198/016214501753381922>.
License: GPL (>= 2)
URL: https://www.r-project.org
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-13 11:14:56 UTC; Usuario 1
Repository: CRAN
Date/Publication: 2018-04-16 09:01:31 UTC

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Fri, 13 Apr 2018

New package pcadapt with initial version 4.0.1
Package: pcadapt
Type: Package
Title: Fast Principal Component Analysis for Outlier Detection
Version: 4.0.1
Date: 2018-04-06
Authors@R: c(person("Keurcien", "Luu", role = c("aut"), email = "keurcien.luu@univ-grenoble-alpes.fr"), person("Michael", "Blum", role = c("aut", "cre"), email = "michael.blum@univ-grenoble-alpes.fr"), person("Florian", "Privé", role = c("aut"), email = "florian.prive.21@gmail.com"), person("Eric", "Bazin", role = c("ctb"), email = "eric.bazin@univ-grenoble-alpes.fr"), person("Nicolas", "Duforet-Frebourg", role = c("ctb")))
Description: Methods to detect genetic markers involved in biological adaptation. 'pcadapt' provides statistical tools for outlier detection based on Principal Component Analysis. Implements the method described in (Luu, 2016) <DOI:10.1111/1755-0998.12592>.
License: GPL (>= 2)
Imports: data.table, ggplot2, magrittr, mmapcharr, plotly, Rcpp (>= 0.12.8), robust, RSpectra, vcfR
LinkingTo: Rcpp, BH, mmapcharr
LazyData: TRUE
Suggests: knitr, rmarkdown, testthat, shiny
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2018-04-13 20:12:53 UTC; mblum
Author: Keurcien Luu [aut], Michael Blum [aut, cre], Florian Privé [aut], Eric Bazin [ctb], Nicolas Duforet-Frebourg [ctb]
Maintainer: Michael Blum <michael.blum@univ-grenoble-alpes.fr>
Repository: CRAN
Date/Publication: 2018-04-13 20:40:27 UTC

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New package GraphPCA with initial version 1.1
Package: GraphPCA
Type: Package
Title: Graphical Tools of Histogram PCA
Version: 1.1
Depends: R (>= 2.15.1)
Imports: ggplot2, FactoMineR, scatterplot3d,ggplot2movies
Date: 2018-04-04
Author: Brahim Brahim <brahim.brahim@bigdatavisualizations.com> and Sun Makosso-Kallyth <makosso.sun@gmail.com>
Maintainer: Brahim Brahim <brahim.brahim@bigdatavisualizations.com>
Description: Histogram principal components analysis is the generalization of the PCA. Histogram data are adapted to design complex and big data which histograms used as variables (big data adapter). Functions implemented provides numerical and graphical tools of an extension of PCA. Sun Makosso Kallyth (2016) <doi:10.1002/sam.11270>. Sun Makosso Kallyth and Edwin Diday (2012) <doi:10.1007/s11634-012-0108-0>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-04-13 18:48:09 UTC; PSA
Repository: CRAN
Date/Publication: 2018-04-13 20:20:04 UTC

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New package isqg with initial version 1.0
Package: isqg
Type: Package
Title: In Silico Quantitative Genetics
Version: 1.0
Date: 2018-04-04
Author: Fernando H. Toledo [aut, cre], International Maize and Wheat Improvement Center [cph]
Maintainer: Fernando H. Toledo <f.toledo@cgiar.org>
Description: Accomplish high performance simulations in quantitative genetics. The molecular genetic components are represented by R6/C++ classes and methods. Mimic the meiosis recombination and de novo genetic variability by means a count-location process (Karlin & Liberman, 1978) <doi:10.1073/pnas.75.12.6332>. The core computational algorithm is implemented using 'Boost' dynamic bitsets (Schaling, 2014) [ISBN:978-1937434366]. A mix between low and high level interfaces provides great flexibility and allows user defined extensions and a wide range of applications.
License: GPL-2 | file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: C++11
Imports: Rcpp (>= 0.12.15), R6
LinkingTo: Rcpp, BH
Collate: 'ISQG.R' 'Mating.R' 'R6Classes.R' 'Functions.R' 'Trait.R' 'RcppExports.R' 'Hooks.R'
LazyData: true
RoxygenNote: 6.0.1
Packaged: 2018-04-13 14:20:30 UTC; ftoledo
Repository: CRAN
Date/Publication: 2018-04-13 17:28:31 UTC

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New package DynamicGP with initial version 1.0-1
Package: DynamicGP
Title: Local Gaussian Process Model for Large-Scale Dynamic Computer Experiments
Version: 1.0-1
Description: Fits localized GP model for dynamic computer experiments via singular value decomposition of the response matrix Y for large N (the number of observations) using the algorithm proposed by Zhang et al. (2018) <arXiv:1611.09488>. The current version only supports 64-bit architecture.
License: GPL (>= 2)
Date: 2018-04-01
Authors@R: c(person(given="Ru", family="Zhang", role = c("aut", "cre"), email="heavenmarshal@gmail.com"), person(given=c("Chunfang","Devon"), family="Lin", role= "aut"), person(given="Pritam", family="Ranjan", role= "aut"), person(given=c("Robert","B"), family="Gramacy", role= "ctb"), person(given="Robert", family="Carnell", role=c("ctb","cph")), person(given="Nicolas", family="Devillard", role="ctb"), person(given="Naoaki", family="Okazaki", role=c("ctb","cph")), person(given="Jorge", family="Nocedal", role="ctb"), person(given=c("Jose","Luis"), family="Morales", role="ctb"), person(given="Ciyou", family="Zhu", role="ctb"), person(given="Richard", family="Byrd", role="ctb"), person(given="Peihuang", family="Lu-Chen", role="ctb"), person("University of Chicago", role="cph"), person("University of California", role="cph"))
Maintainer: Ru Zhang <heavenmarshal@gmail.com>
Depends: R (>= 2.14)
Imports: lhs, laGP, parallel
NeedsCompilation: yes
Packaged: 2018-04-13 15:04:59 UTC; Ru
Author: Ru Zhang [aut, cre], Chunfang Devon Lin [aut], Pritam Ranjan [aut], Robert B Gramacy [ctb], Robert Carnell [ctb, cph], Nicolas Devillard [ctb], Naoaki Okazaki [ctb, cph], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Peihuang Lu-Chen [ctb], University of Chicago [cph], University of California [cph]
Repository: CRAN
Date/Publication: 2018-04-13 17:28:30 UTC

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New package psgp with initial version 0.3-17
Package: psgp
Version: 0.3-17
Date: 2018-04-12
Title: Projected Spatial Gaussian Process Methods
Author: Ben Ingram <ingrambr@gmail.com>, Remi Barillec <remi@igiltd.com>, Jon Olav Skoien <jon.skoien@gmail.com>
Maintainer: Ben Ingram <ingrambr@gmail.com>
Depends: R (>= 3.0.2), intamap
Imports: gstat, automap, sp, doParallel, rgdal, foreach, parallel, Rcpp
Suggests:
LinkingTo: Rcpp, RcppArmadillo (>= 0.2.0)
Description: Implements projected sparse Gaussian process Kriging (Ingram 'et. al.', 2008, <doi:10.1007/s00477-007-0163-9>) as an additional method for the 'intamap' package. More details on implementation in Barillec 'et. al.', 2010, <doi:10.1016/j.cageo.2010.05.008>.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Packaged: 2018-04-13 01:05:19 UTC; bri
Date/Publication: 2018-04-13 13:14:34 UTC

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New package nlirms with initial version 3.4.4
Package: nlirms
Title: Non-Life Insurance Rate-Making System
Version: 3.4.4
Author: Saeed Mohammadpour <s.mohammadpour1111@gmail.com>, Soodabeh mohammadpoor Golojeh <s.mohammadpour@gmail.com>
Maintainer: Saeed Mohammadpour <s.mohammadpour1111@gmail.com>
Description: Design of non-life insurance rate-making system with a frequency and a severity component based on the a posteriori criteria. The rate-making system is a general form of bonus-malus system introduced by Lemaire (1995), <doi:10.1007/978-94-011-0631-3> and Frangos and Vrontos (2001), <doi:10.2143/AST.31.1.991>.
Imports: gridExtra, grid, gtable
License: MIT + file LICENSE
LazyData: True
NeedsCompilation: no
Packaged: 2018-04-12 10:20:57 UTC; saeed
Repository: CRAN
Date/Publication: 2018-04-13 11:16:48 UTC

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New package DBHC with initial version 0.0.2
Package: DBHC
Type: Package
Title: Sequence Clustering with Discrete-Output HMMs
Version: 0.0.2
Date: 2018-04-10
Author: Gabriel Budel [aut, cre], Flavius Frasincar [aut]
Maintainer: Gabriel Budel <gabysp_budel@hotmail.com>
Description: Provides an implementation of a mixture of hidden Markov models (HMMs) for discrete sequence data in the Discrete Bayesian HMM Clustering (DBHC) algorithm. The DBHC algorithm is an HMM Clustering algorithm that finds a mixture of discrete-output HMMs while using heuristics based on Bayesian Information Criterion (BIC) to search for the optimal number of HMM states and the optimal number of clusters.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/gabybudel/DBHC
BugReports: https://github.com/gabybudel/DBHC/issues
LazyData: true
Imports: seqHMM (>= 1.0.8), TraMineR (>= 2.0-7), reshape2 (>= 1.2.1), ggplot2 (>= 2.2.1)
NeedsCompilation: no
Repository: CRAN
RoxygenNote: 6.0.1
Packaged: 2018-04-13 08:55:24 UTC; gabys
Date/Publication: 2018-04-13 11:09:20 UTC

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New package salesforcer with initial version 0.1.2
Package: salesforcer
Title: An Implementation of 'Salesforce' APIs Using Tidy Principles
Version: 0.1.2
Date: 2018-04-12
Description: An implementation of the 'Salesforce' Platform APIs (REST, SOAP, Bulk 1.0, Bulk 2.0, and Metadata) <https://developer.salesforce.com/page/Salesforce_APIs>. This package is an articulation of the most API methods into R. The API calls return XML or JSON that is parsed tidy data structures. For more details please see the 'Salesforces' API references and this package's website <https://stevenmmortimer.github.io/salesforcer/> for more information, documentation, and examples.
Authors@R: c( person(c("Steven", "M."), "Mortimer", , "reportmort@gmail.com", c("aut", "cre")), person("Takekatsu", "Hiramura", , "thira@plavox.info", c("ctb")), person("Jennifer", "Bryan", , "jenny@rstudio.com", c("ctb")), person("Joanna", "Zhao", , "joanna.zhao@alumni.ubc.ca", c("ctb")) )
URL: https://github.com/StevenMMortimer/salesforcer
BugReports: https://github.com/StevenMMortimer/salesforcer/issues
Encoding: UTF-8
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
LazyData: true
Imports: methods, httr, dplyr, xml2, XML, jsonlite, purrr, readr, lubridate
Suggests: knitr, testthat, rmarkdown, here, RForcecom
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-12 22:00:35 UTC; steven.mortimer
Author: Steven M. Mortimer [aut, cre], Takekatsu Hiramura [ctb], Jennifer Bryan [ctb], Joanna Zhao [ctb]
Maintainer: Steven M. Mortimer <reportmort@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-13 09:02:16 UTC

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New package pkgnet with initial version 0.1.0
Package: pkgnet
Type: Package
Title: Get Network Representation of an R Package
Version: 0.1.0
Authors@R: c( person("Brian", "Burns", email = "brian.burns@uptake.com", role = c("aut", "cre")), person("James", "Lamb", email = "james.lamb@uptake.com", role = c("aut")), person("Patrick", "Boueri", email = "patrick.boueri@uptake.com", role = c("ctb")), person("Jay", "Qi", email = "jay.qi@uptake.com", role = c("ctb")) )
Maintainer: Brian Burns <brian.burns@uptake.com>
Description: Tools from the domain of graph theory can be used to quantify the complexity and vulnerability to failure of a software package. That is the guiding philosophy of this package. 'pkgnet' provides tools to analyze the dependencies between functions in an R package and between its imported packages.
Imports: assertthat, covr, data.table, DT, futile.logger, igraph, knitr, magrittr, methods, mvbutils, R6, rmarkdown, visNetwork
Suggests: devtools, testthat
License: BSD_3_clause + file LICENSE
URL: https://github.com/UptakeOpenSource/pkgnet
BugReports: https://github.com/UptakeOpenSource/pkgnet/issues
LazyData: TRUE
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-12 23:38:48 UTC; jlamb
Author: Brian Burns [aut, cre], James Lamb [aut], Patrick Boueri [ctb], Jay Qi [ctb]
Repository: CRAN
Date/Publication: 2018-04-13 09:21:19 UTC

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New package metaboGSE with initial version 1.0.2
Package: metaboGSE
Type: Package
Title: Gene Set Enrichment Analysis via Integration of Metabolic Networks and RNA-Seq Data
Version: 1.0.2
Depends: R (>= 3.4.0), sybil (>= 2.0.4), AnnotationDbi (>= 1.32.3), ape (>= 3.3), topGO (>= 2.24.0)
Suggests: clpAPI (>= 1.2.6), glpkAPI (>= 1.2.11), KernSmooth, KEGGREST, survival, ctc, knitr, rmarkdown
Imports: utils, stats, methods, parallel, grDevices, graphics, Matrix
Packaged: 2018-04-10 11:18:51 UTC; ttran
Author: Van Du T. Tran [aut, cre], Marco Pagni [aut]
Maintainer: Van Du T. Tran <thuong.tran@sib.swiss>
Description: Integrates metabolic networks and RNA-seq data to construct condition-specific series of metabolic sub-networks and applies to gene set enrichment analysis (Tran et al. (2018) <doi:10.1101/200964>).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2018-04-13 09:46:26 UTC

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New package RMCriteria with initial version 0.1.0
Package: RMCriteria
Type: Package
Title: Multicriteria Package
Version: 0.1.0
Author: Pedro Albuquerque and Gustavo Monteiro
BugReports: https://github.com/lamfo-unb/RMCriteria
Maintainer: Pedro Albuquerque <pedroa@unb.br>
Description: Provides a methodology to solve most of multicriteria ranking problems using partial and total pre-order from Promethee methods. Albuquerque & Montenegro (2015) <doi:10.1080/03610926.2014.942432>.
Depends: R (>= 3.1.0)
License: GPL-2
LazyData: TRUE
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Imports: Rcpp, RcppNumerical, linprog, lpSolve, ggplot2, gridExtra, ggnetwork, network, pastecs, methods, graphics, stats, utils, dplyr
SystemRequirements: GNU make
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-04-12 17:30:56 UTC; B2982924
Repository: CRAN
Date/Publication: 2018-04-13 08:27:46 UTC

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New package promises with initial version 1.0.1
Package: promises
Type: Package
Title: Abstractions for Promise-Based Asynchronous Programming
Version: 1.0.1
Authors@R: c( person("Joe", "Cheng", email = "joe@rstudio.com", role = c("aut", "cre")), person("RStudio", role = c("cph", "fnd")) )
Description: Provides fundamental abstractions for doing asynchronous programming in R using promises. Asynchronous programming is useful for allowing a single R process to orchestrate multiple tasks in the background while also attending to something else. Semantics are similar to 'JavaScript' promises, but with a syntax that is idiomatic R.
License: MIT + file LICENSE
Imports: R6, Rcpp, later, rlang, stats, magrittr
Suggests: testthat, future, knitr, rmarkdown
LinkingTo: later, Rcpp
RoxygenNote: 6.0.1
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
URL: https://rstudio.github.io/promises, https://github.com/rstudio/promises
BugReports: https://github.com/rstudio/promises/issues
NeedsCompilation: yes
Packaged: 2018-04-12 22:42:12 UTC; jcheng
Author: Joe Cheng [aut, cre], RStudio [cph, fnd]
Maintainer: Joe Cheng <joe@rstudio.com>
Repository: CRAN
Date/Publication: 2018-04-13 08:59:30 UTC

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New package pricesensitivitymeter with initial version 0.2.1
Package: pricesensitivitymeter
Date: 2018-04-12
Type: Package
Title: Van Westendorp Price Sensitivity Meter Analysis
Version: 0.2.1
Authors@R: person("Max", "Alletsee", email = "max.alletsee@gmail.com", role = c("aut", "cre"))
Maintainer: Max Alletsee <max.alletsee@gmail.com>
Description: An implementation of the van Westendorp Price Sensitivity Meter in R, which is a survey-based approach to analyze consumer price preferences and sensitivity (van Westendorp 1976, isbn:9789283100386).
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
BugReports: https://github.com/alletsee/pricesensitivitymeter/issues
URL: https://github.com/alletsee/pricesensitivitymeter
Depends: R (>= 3.0.0), methods
Suggests: knitr, rmarkdown, testthat, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-12 21:01:42 UTC; maxal
Author: Max Alletsee [aut, cre]
Repository: CRAN
Date/Publication: 2018-04-13 08:57:02 UTC

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New package nna with initial version 0.0.2.1
Package: nna
Title: Nearest-Neighbor Analysis
Version: 0.0.2.1
Authors@R: c(person("Cristiano", "Pereira", email = "cristianomp@gmail.com", role = c("aut", "cre")), person("Clovis", "Castro", email = "clovis.castro@coralvivo.org.br", role = "aut"))
Maintainer: Cristiano Pereira <cristianomp@gmail.com>
Description: Calculates spatial pattern analysis using a T-square sample procedure. This method is based on two measures "x" and "y". "x" - Distance from the random point to the nearest individual. "y" - Distance from individual to its nearest neighbor. This is a methodology commonly used in phytosociology or marine benthos ecology to analyze the species' distribution (random, uniform or clumped patterns). Ludwig & Reynolds (1988, ISBN:0471832359).
Depends: R (>= 3.4.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-12 19:13:11 UTC; Cristiano
Author: Cristiano Pereira [aut, cre], Clovis Castro [aut]
Repository: CRAN
Date/Publication: 2018-04-13 08:54:13 UTC

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New package mlvocab with initial version 0.0.1
Package: mlvocab
Title: Vocabulary and Corpus Preprocessing for Natural Language Pipelines
Version: 0.0.1
Authors@R: person("Vitalie", "Spinu", email = "spinuvit@gmail.com", role = c("aut", "cre"))
Description: Utilities for preprocessing of text corpora into data structures suitable for natural language models: integer sequences or matrices, vocabulary embedding matrices, term-doc, doc-term, term co-occurrence matrices etc. All functions allow for full or partial hashing of the terms in the vocabulary.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 0.12), Matrix, digest (>= 0.6.8), sparsepp (>= 0.2.0)
LinkingTo: Rcpp, digest (>= 0.6.8), sparsepp (>= 0.2.0)
Suggests: testthat, knitr
LazyData: true
SystemRequirements: C++11
BugReports: https://github.com/vspinu/mlvocab/issues
URL: https://github.com/vspinu/mlvocab/
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-04-12 19:02:49 UTC; vspinu
Author: Vitalie Spinu [aut, cre]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-13 08:50:01 UTC

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New package mcmcr with initial version 0.0.1
Package: mcmcr
Title: Manipulate MCMC Samples
Version: 0.0.1
Authors@R: person("Joe", "Thorley", email = "joe@poissonconsulting.ca", role = c("aut", "cre"))
Description: Functions and classes to store, manipulate and summarise Monte Carlo Markov Chain (MCMC) samples.
License: MIT + file LICENSE
Depends: R (>= 3.4.0)
Imports: abind, checkr, coda, graphics, stats, tibble, utils
Suggests: covr, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-12 16:27:35 UTC; joe
Author: Joe Thorley [aut, cre]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>
Repository: CRAN
Date/Publication: 2018-04-13 08:21:31 UTC

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New package LogConcDEAD with initial version 1.6-1
Package: LogConcDEAD
Version: 1.6-1
Date: 2018-04-12
Title: Log-Concave Density Estimation in Arbitrary Dimensions
Author: Madeleine Cule, Robert Gramacy, Richard Samworth, Yining Chen
Maintainer: Yining Chen <Y.Chen101@lse.ac.uk>
Depends: R (>= 3.0)
Imports: MASS, mclust, mvtnorm, rgl, tkrplot
Description: Software for computing a log-concave (maximum likelihood) estimator for i.i.d. data in any number of dimensions. For a detailed description of the method see Cule, Samworth and Stewart (2010, Journal of Royal Statistical Society Series B, <doi:10.1111/j.1467-9868.2010.00753.x>).
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Packaged: 2018-04-12 21:54:19 UTC; chen
Date/Publication: 2018-04-13 08:36:17 UTC

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New package hydrolinks with initial version 0.10.0
Package: hydrolinks
Type: Package
Title: Hydrologic Network Linking Data and Tools
Version: 0.10.0
Authors@R: c( person("Tobi", "Hahn", role = c("aut"), email = "hahnt2@rpi.edu"), person("Luke", "Winslow", role = c("aut", "cre"), email = "lawinslow@gmail.com"), person("Taylor", "Leach", role = c("ctb"), email = "leacht@rpi.edu"), person("Kevin", "Rose", role = c("ths"), email = "rosek4@rpi.edu"))
Description: Tools to link geographic data with hydrologic network, including lakes, streams and rivers. Includes automated download of U.S. National Hydrography Network and other hydrolayers.
Imports: dplyr, dbplyr, httr, tools, rappdirs, sf (>= 0.6), RSQLite, units, stats
Suggests: testthat, knitr, rmarkdown, dataRetrieval, USAboundaries, ggplot2, gridExtra, kableExtra, R.rsp
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2018-04-12 20:24:26 UTC; lawinslow
Author: Tobi Hahn [aut], Luke Winslow [aut, cre], Taylor Leach [ctb], Kevin Rose [ths]
Maintainer: Luke Winslow <lawinslow@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-13 08:36:15 UTC

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Thu, 12 Apr 2018

New package sokoban with initial version 0.1.0
Package: sokoban
Type: Package
Title: Sokoban Game
Version: 0.1.0
Author: Zhaoliang He <1024299329@qq.com>, Linsui Deng <1175520015@qq.com>, Kaiwen Tan <913596401@qq.com>
Maintainer: Zhaoliang He <1024299329@qq.com>
Description: Interactively play a game of sokoban ,which has nine game levels.Sokoban is a type of transport puzzle, in which the player pushes boxes or crates around in a warehouse, trying to get them to storage locations.
License: GPL
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-04-10 04:08:51 UTC; Administrator
Repository: CRAN
Date/Publication: 2018-04-12 15:44:33 UTC

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New package rcube with initial version 0.1
Package: rcube
Type: Package
Title: Simulations and Visualizations of Rubik's Cube (with Mods)
Version: 0.1
Date: 2018-04-09
Author: Wojciech Rosa
Maintainer: Wojciech Rosa <w.rosa@pollub.pl>
Description: Provides simplified methods for managing classic Rubik's cubes and many other modifications of it (such as NxNxN size cubes, void cubes and 8-coloured cubes - so called octa cubes). Includes functions of handling special syntax for managing such cubes; and different approach to plotting 3D cubes without using external libraries (for example OpenGL).
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-12 13:20:20 UTC; wojci
Repository: CRAN
Date/Publication: 2018-04-12 15:51:11 UTC

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New package gimmeTools with initial version 0.1
Package: gimmeTools
Title: Supplemental Tools for the 'gimme' R Package
Version: 0.1
Authors@R: person("Stephanie", "Lane", email = "lane.stephanie.t@gmail.com", role = c("aut", "cre"))
Description: Supplemental tools for the 'gimme' R package. It contains an interactive graphical user interface, allowing for the flexible specification of a variety of both basic and advanced options. It will expand to include a variety of tools for navigating output.
Imports: shiny, shinyjs, rintrojs, easycsv, miniUI, shinyWidgets, rstudioapi, rhandsontable, magrittr
Depends: R (>= 3.1)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/stlane
NeedsCompilation: no
Packaged: 2018-04-05 23:08:08 UTC; stlane
Author: Stephanie Lane [aut, cre]
Maintainer: Stephanie Lane <lane.stephanie.t@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-12 12:41:39 UTC

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New package aws.translate with initial version 0.1.3
Package: aws.translate
Type: Package
Title: Client for 'AWS Translate'
Version: 0.1.3
Date: 2018-04-11
Authors@R: c(person("Thomas J.", "Leeper", role = c("aut", "cre"), email = "thosjleeper@gmail.com", comment = c(ORCID = "0000-0003-4097-6326")) )
Description: A client for 'AWS Translate' <https://aws.amazon.com/documentation/translate>, a machine translation service that will convert a text input in one language into a text output in another language.
License: GPL (>= 2)
URL: https://github.com/cloudyr/aws.translate
BugReports: https://github.com/cloudyr/aws.translate/issues
Imports: httr, jsonlite, aws.signature (>= 0.3.4)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-12 00:17:23 UTC; THOMAS
Author: Thomas J. Leeper [aut, cre] (<https://orcid.org/0000-0003-4097-6326>)
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-12 12:54:51 UTC

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New package aws.comprehend with initial version 0.1.2
Package: aws.comprehend
Type: Package
Title: 'AWS Comprehend' Client Package
Version: 0.1.2
Date: 2018-04-09
Authors@R: c(person("Thomas J.", "Leeper", role = c("aut", "cre"), email = "thosjleeper@gmail.com"))
Description: Client for 'AWS Comprehend' <https://aws.amazon.com/comprehend>, a cloud natural language processing service that can perform a number of quantitative text analyses, including language detection, sentiment analysis, and feature extraction.
License: GPL (>= 2)
URL: https://github.com/cloudyr/aws.comprehend
BugReports: https://github.com/cloudyr/aws.comprehend/issues
Imports: httr, jsonlite, aws.signature (>= 0.3.4)
Suggests: testthat
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-09 20:50:13 UTC; THOMAS
Author: Thomas J. Leeper [aut, cre]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-12 12:54:27 UTC

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New package SimilaR with initial version 1.0.1
Package: SimilaR
Version: 1.0.1
Date: 2018-04-12
Title: R Source Code Similarity Evaluation
Description: An Implementation of a novel method to determine similarity of R functions based on program dependence graphs, see Bartoszuk, Gagolewski (2017) <doi:10.1109/FUZZ-IEEE.2017.8015582>. Possible use cases include plagiarism detection among students' homework assignments.
URL: http://similar.rexamine.com/
BugReports: https://github.com/bartoszukm/SimilaR/issues
Type: Package
Depends: R (>= 3.1.0), stringi
License: GPL (>= 3)
Authors@R: c( person("Maciej", "Bartoszuk", role = c("aut", "cre"), email = "bartoszuk@rexamine.com"), person("Marek", "Gagolewski", role = "aut", email = "gagolews@rexamine.com") )
Imports: Rcpp (>= 0.12.0)
Suggests: testthat
LinkingTo: Rcpp (>= 0.12.0), BH
SystemRequirements: C++11
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-04-12 10:06:50 UTC; bartoszukm
Author: Maciej Bartoszuk [aut, cre], Marek Gagolewski [aut]
Maintainer: Maciej Bartoszuk <bartoszuk@rexamine.com>
Repository: CRAN
Date/Publication: 2018-04-12 11:42:06 UTC

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New package mgc with initial version 1.0
Package: mgc
Type: Package
Title: Multiscale Graph Correlation
Version: 1.0
Date: 2018-04-10
Authors@R: c(person("Eric", "Bridgeford", role = c("aut", "cre"), email = "ericwb95@gmail.com"), person("Censheng", "Shen", role="aut", email="cshen6@jhu.edu"), person("Shangsi", "Wang", role = "aut", email = "swang127@jhu.edu"), person("Joshua", "Vogelstein", role = "ths", email = "jovo@jhu.edu"))
Maintainer: Eric Bridgeford <ericwb95@gmail.com>
Description: Multiscale Graph Correlation (MGC) is a framework developed by Shen et al. (2017) <arXiv:1609.05148> that extends global correlation procedures to be multiscale; consequently, MGC tests typically require far fewer samples than existing methods for a wide variety of dependence structures and dimensionalities, while maintaining computational efficiency. Moreover, MGC provides a simple and elegant multiscale characterization of the potentially complex latent geometry underlying the relationship.
Depends: R (>= 3.4.0)
Imports: stats, SDMTools, MASS
URL: https://github.com/neurodata/mgc
Suggests: testthat, ggplot2, reshape2, knitr, rmarkdown
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-11 17:33:50 UTC; eric
Author: Eric Bridgeford [aut, cre], Censheng Shen [aut], Shangsi Wang [aut], Joshua Vogelstein [ths]
Repository: CRAN
Date/Publication: 2018-04-12 10:50:46 UTC

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New package LPWC with initial version 0.99.2
Package: LPWC
Version: 0.99.2
Date: 2018-03-31
Title: Lag Penalized Weighted Correlation for Time Series Clustering
Author: Thevaa Chandereng <chandereng@wisc.edu>, Anthony Gitter
Maintainer: Thevaa Chandereng <chandereng@wisc.edu>
Description: Computes a time series distance measure for clustering based on weighted correlation and introduction of lags. The lags capture delayed responses in a time series dataset. The timepoints must be specified. T. Chandereng, A. Gitter (2018) <doi:10.1101/292615>.
Depends: R (>= 3.0.2)
Suggests: testthat, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
URL: https://github.com/gitter-lab/LPWC
BugReports: https://github.com/gitter-lab/LPWC/issues
NeedsCompilation: no
Packaged: 2018-04-11 21:03:34 UTC; thevaasiinenchandereng
Repository: CRAN
Date/Publication: 2018-04-12 10:52:34 UTC

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New package aMNLFA with initial version 0.1
Package: aMNLFA
Title: Automated Fitting of Moderated Nonlinear Factor Analysis Through the 'Mplus' Program
Version: 0.1
Authors@R: c( person("Veronica", "Cole", email = "vcole@email.unc.edu", role = c("aut","cre")), person("Nisha", "Gottfredson", email = "gottfredson@email.unc.edu", role = c("aut")), person("Michael", "Giordano", email = "mgiordano@email.unc.edu", role = c("aut")), person("Tim", "Janssen", email = "tim_janssen@brown.edu", role = c("ctb")))
Description: Automated generation, running, and interpretation of moderated nonlinear factor analysis models for obtaining scores from observed variables. This package creates 'Mplus' input files which may be run iteratively to test two different types of covariate effects on items: (1) latent variable impact (both mean and variance); and (2) differential item functioning. After sequentially testing for all effects, it also creates a final model by including all significant effects after adjusting for multiple comparisons. Finally, the package creates a scoring model which uses the final values of parameter estimates to generate latent variable scores.
Depends: R (>= 3.1.0),
Imports: grDevices, graphics, stats, utils, ggplot2, MplusAutomation, reshape2, gridExtra, stringr, plyr, devtools
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-11 16:54:33 UTC; vcole
Author: Veronica Cole [aut, cre], Nisha Gottfredson [aut], Michael Giordano [aut], Tim Janssen [ctb]
Maintainer: Veronica Cole <vcole@email.unc.edu>
Repository: CRAN
Date/Publication: 2018-04-12 10:55:18 UTC

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New package WeibullR with initial version 1.0.5
Package: WeibullR
Version: 1.0.5
Date: 2018-4-11
Title: Weibull Analysis for Reliability Engineering
Authors@R: c(person("David", "Silkworth", email = "djsilk@openreliability.org", role = "aut"), person("Jurgen", "Symynck", role = "aut"), person("Jacob", "Ormerod", email = "jake@openreliability.org", role = "cre"), person("OpenReliability.org", role = "cph"))
Description: Life data analysis in the graphical tradition of Waloddi Weibull. Methods derived from Robert B. Abernethy (2008, ISBN 0-965306-3-2), Wayne Nelson (1982, ISBN: 9780471094586) <DOI:10.1002/0471725234>, William Q. Meeker and Lois A. Escobar (1998, ISBN: 1-471-14328-6), John I. McCool, (2012, ISBN: 9781118217986) <DOI:10.1002/9781118351994>.
License: GPL (>= 3)
Copyright: copyright (c) OpenReliability.org 2011-2018
URL: http://www.openreliability.org/weibull-r-weibull-analysis-on-r/
LazyLoad: yes
Imports: Rcpp (>= 0.11.1)
LinkingTo: Rcpp, RcppArmadillo
Author: David Silkworth [aut], Jurgen Symynck [aut], Jacob Ormerod [cre], OpenReliability.org [cph]
Maintainer: Jacob Ormerod <jake@openreliability.org>
Repository: CRAN
Repository/R-Forge/Project: weibull-r
Repository/R-Forge/Revision: 27
Repository/R-Forge/DateTimeStamp: 2018-04-11 11:07:08
Date/Publication: 2018-04-12 09:13:48 UTC
NeedsCompilation: yes
Packaged: 2018-04-11 11:25:08 UTC; rforge

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New package msigdbr with initial version 6.1.1
Package: msigdbr
Type: Package
Title: MSigDB for Multiple Organisms in a Tidy Data Format
Version: 6.1.1
Authors@R: person("Igor", "Dolgalev", email = "igor.dolgalev@nyumc.org", role = c("aut", "cre"))
Description: Provides the 'Molecular Signatures Database' (MSigDB) gene sets used with the 'Gene Set Enrichment Analysis' (GSEA) software (Subramanian et al. 2005 <doi:10.1073/pnas.0506580102>, Liberzon et al. 2015 <doi:10.1016/j.cels.2015.12.004>) for various frequently studied model organisms in a standard R data frame with key-value pairs.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/igordot/msigdbr
BugReports: https://github.com/igordot/msigdbr/issues
LazyData: true
Depends: R (>= 3.2.0), dplyr (>= 0.7.0), tibble
Imports: magrittr, rlang
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-11 16:30:17 UTC; id460
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>
Repository: CRAN
Date/Publication: 2018-04-12 09:16:18 UTC

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New package bayesammi with initial version 0.1.0
Package: bayesammi
Type: Package
Title: Bayesian Estimation of the Additive Main Effects and Multiplicative Interaction Model
Version: 0.1.0
Authors@R: c( person(c("Muhammad", "Yaseen"), email = "myaseen208@gmail.com", role = c("aut", "cre")) , person(c("Jose", "Crossa"), email = "j.crossa@cgiar.org", role = c("aut", "ctb")) , person(c("Sergio", "Perez-Elizalde"), email = "sergiop@colpos.mx", role = c("aut", "ctb")) , person(c("Diego", "Jarquin"), email = "diego.jarquin@gmail.com", role = c("aut", "ctb")) , person(c("Jose", "Miguel", "Cotes"), email = " ", role = c("aut", "ctb")) , person(c("Kert", "Viele"), email = " ", role = c("aut", "ctb")) , person(c("Genzhou", "Liu"), email = " ", role = c("aut", "ctb")) , person(c("Paul", "L.", " Cornelius"), email = " ", role = c("aut", "ctb")) )
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Performs Bayesian estimation of the additive main effects and multiplicative interaction (AMMI) model. The method is explained in Crossa, J., Perez-Elizalde, S., Jarquin, D., Cotes, J.M., Viele, K., Liu, G. and Cornelius, P.L. (2011) (<doi:10.2135/cropsci2010.06.0343>).
Depends: R (>= 3.1)
Imports: dplyr, ggplot2, lme4, magrittr, MASS, mvtnorm, rlang, rstiefel, scales, stats, tibble, tidyr, tmvtnorm
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Note: Department of Mathematics and Statistics, University of Agriculture Faisalabad, Faisalabad-Pakistan.
NeedsCompilation: no
Packaged: 2018-04-11 13:32:40 UTC; myaseen
Author: Muhammad Yaseen [aut, cre], Jose Crossa [aut, ctb], Sergio Perez-Elizalde [aut, ctb], Diego Jarquin [aut, ctb], Jose Miguel Cotes [aut, ctb], Kert Viele [aut, ctb], Genzhou Liu [aut, ctb], Paul L. Cornelius [aut, ctb]
Repository: CRAN
Date/Publication: 2018-04-12 09:03:23 UTC

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New package stratifyR with initial version 1.0-1
Package: stratifyR
Type: Package
Title: Optimal Stratification of Univariate Populations
Version: 1.0-1
Date: 2018-04-11
Authors@R: c( person("Karuna G.", "Reddy",, "reddy_k@usp.ac.fj", c("aut", "cre")), person("M. G. M.", "Khan",, "khan_mg@usp.ac.fj", "aut") )
Author: Karuna G. Reddy [aut, cre], M. G. M. Khan [aut]
Maintainer: Karuna G. Reddy <reddy_k@usp.ac.fj>
Description: This implements the stratification of univariate populations under stratified sampling designs using the method of Khan et al. (2002) <doi:10.1177/0008068320020518>, Khan et al. (2008) (<http://www.statcan.gc.ca/pub/12-001-x/2008002/article/10761-eng.pdf>) and Khan et al. (2015) <doi:10.1080/02664763.2015.1018674>. It determines the Optimum Strata Boundaries (OSB) and Optimum Sample Sizes (OSS) for the study variable, y, using the best-fit frequency distribution of a survey variable (if data is available) or a hypothetical distribution (if data is not available). The method formulates the problem of determining the OSB as mathematical programming problem which is solved by using a dynamic programming technique. If a dataset of the population is available to the surveyor, the method estimates its best-fit distribution and determines the OSB and OSS under Neyman allocation directly. When the dataset is not available, stratification is made based on the assumption that the values of the study variable, y, are available as hypothetical realizations of proxy values of y from recent surveys. Thus, it requires certain distributional assumptions about the study variable. At present, it handles stratification for the populations where the study variable follows a continuous distribution, namely, Pareto, Triangular, Right-triangular, Weibull, Gamma, Exponential, Uniform, Normal, Log-normal and Cauchy distributions.
LazyData: true
License: GPL-2
NeedsCompilation: yes
Depends: R (>= 3.4.0), fitdistrplus, stats, zipfR, actuar, triangle, mc2d
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2018-04-10 23:03:56 UTC; reddy_k
Repository: CRAN
Date/Publication: 2018-04-12 08:34:03 UTC

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New package openCR with initial version 1.1.1
Package: openCR
Type: Package
Title: Open Population Capture-Recapture
Version: 1.1.1
Depends: R (>= 3.2.0), secr (>= 3.1.5)
Imports: utils, MASS, nlme, parallel, stats, Rcpp (>= 0.12.14), stringr, plyr, abind, methods
LinkingTo: Rcpp
Suggests: knitr, RMark, rgdal
VignetteBuilder: knitr
Date: 2018-04-11
Authors@R: person("Murray", "Efford", email = "murray.efford@otago.ac.nz", role = c("aut","cre"), comment = c(ORCID = "0000-0001-5231-5184"))
Description: Functions for the analysis of capture-recapture data from animal populations subject to turnover. The models extend Schwarz and Arnason (1996) <DOI:10.2307/2533048> and Borchers and Efford (2008) <DOI:10.1111/j.1541-0420.2007.00927.x>, and may be non-spatial or spatial. The parameterisation of recruitment is flexible (options include population growth rate and per capita recruitment). Spatially explicit analyses may assume home-range centres are fixed or allow dispersal between sampling sessions.
License: GPL (>= 2)
LazyData: yes
LazyDataCompression: xz
NeedsCompilation: yes
Packaged: 2018-04-11 01:38:54 UTC; Murray
Author: Murray Efford [aut, cre] (<https://orcid.org/0000-0001-5231-5184>)
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Repository: CRAN
Date/Publication: 2018-04-12 08:48:29 UTC

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New package miceMNAR with initial version 1.0
Package: miceMNAR
Type: Package
Title: Missing not at Random Imputation Models for Multiple Imputation by Chained Equation
Version: 1.0
Date: 2018-04-11
Description: Provides imputation models and functions for binary or continuous Missing Not At Random (MNAR) outcomes through the use of the 'mice' package. The mice.impute.hecknorm() function provides imputation model for continuous outcome based on Heckman's model also named sample selection model as described in Galimard et al (2016) <doi:10.1002/sim.6902>. The mice.impute.heckprob() function provides imputation model for binary outcome based on bivariate probit model.
License: GPL-2 | GPL-3
Depends: R (>= 3.2.1), mice (>= 2.25)
Imports: stats, mvtnorm, pbivnorm, GJRM, sampleSelection
RoxygenNote: 6.0.1
NeedsCompilation: no
Author: Jacques-Emmanuel Galimard [aut, cre] (INSERM, U1153, ECSTRA team), Matthieu Resche-Rigon [aut] (INSERM, U1153, ECSTRA team)
Maintainer: Jacques-Emmanuel Galimard <jacques-emmanuel.galimard@inserm.fr>
Packaged: 2018-04-11 08:42:28 UTC; jegalimard
Repository: CRAN
Date/Publication: 2018-04-12 08:56:30 UTC

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Wed, 11 Apr 2018

New package bigIntegerAlgos with initial version 0.1.0
Package: bigIntegerAlgos
Type: Package
Title: R Tool for Factoring Big Integers
Version: 0.1.0
Author: Joseph Wood
Maintainer: Joseph Wood <jwood000@gmail.com>
Description: Features the multiple polynomial quadratic sieve algorithm for factoring large integers and a vectorized factoring function that returns the complete factorization of an integer. Utilizes the C library GMP (GNU Multiple Precision Arithmetic) and classes created by Antoine Lucas et al. found in the 'gmp' package.
License: GPL (>= 2)
BuildResaveData: no
Encoding: UTF-8
SystemRequirements: gmp (>= 4.2.3)
Suggests: testthat, numbers (>= 0.6-6), RcppAlgos (>= 1.0.1)
Depends: gmp
NeedsCompilation: yes
URL: https://github.com/jwood000/bigIntegerAlgos, http://mathworld.wolfram.com/QuadraticSieve.html
BugReports: https://github.com/jwood000/bigIntegerAlgos/issues
RoxygenNote: 6.0.1
Packaged: 2018-04-11 20:32:11 UTC; josephwood
Repository: CRAN
Date/Publication: 2018-04-11 21:46:05 UTC

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