Thu, 14 Jul 2016

New package RStripe with initial version 0.1
Package: RStripe
Title: A Convenience Interface for the Stripe Payment API
Version: 0.1
Author: Evan Farrell <evandev@gastrograph.com>
Maintainer: Evan Farrell <evandev@gastrograph.com>
Description: A convenience interface for communicating with the Stripe payment processor to accept payments online. See <https://stripe.com> for more information.
Depends: R (>= 3.1.1)
Imports: jsonlite, RCurl, httr
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-14 21:42:22 UTC; evan
Repository: CRAN
Date/Publication: 2016-07-15 00:28:26

More information about RStripe at CRAN
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New package lmeresampler with initial version 0.1.0
Package: lmeresampler
Title: Bootstrap Methods for Nested Linear Mixed-Effects Models
Version: 0.1.0
Authors@R: c(person("Adam", "Loy", email = "loyad01@gmail.com", role = c("aut", "cre")), person("Spenser", "steele", role = "aut"))
Description: Bootstrap routines for nested linear mixed effects models fit using either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the parametric, semi-parametric (i.e., CGR), residual, cases, and random effect block (REB) bootstrap procedures.
Depends: R (>= 3.1.2)
Imports: boot, plyr, dplyr, Matrix, nlmeU, RLRsim
Suggests: lme4 (>= 1.1-7), nlme, testthat, mlmRev
License: GPL-3
LazyData: true
URL: https://github.com/aloy/lmeresampler
BugReports: https://github.com/aloy/lmeresampler/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-14 20:29:26 UTC; loya
Author: Adam Loy [aut, cre], Spenser steele [aut]
Maintainer: Adam Loy <loyad01@gmail.com>
Repository: CRAN
Date/Publication: 2016-07-15 00:31:07

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Package highcharter updated to version 0.4.0 with previous version 0.3.0 dated 2016-03-28

Title: A Wrapper for the 'Highcharts' Library
Description: A wrapper for the 'Highcharts' library including shortcut functions to plot R objects. 'Highcharts' <http://www.highcharts.com/> is a charting library offering numerous chart types with a simple configuration syntax.
Author: Joshua Kunst [aut, cre], Nuno Agostinho [ctb] (hchart.survfit, densities and hc_add_series_scatter), Eduardo Flores [ctb] (First version hc_add_series_df_tidy), Dean Kilfoyle [ctb] (First version hc_add_series_boxplot), Adline Dsilva [ctb] (First version Matrix heatmap)
Maintainer: Joshua Kunst <jbkunst@gmail.com>

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Package treeClust updated to version 1.1-6 with previous version 1.1-1 dated 2015-07-23

Title: Cluster Distances Through Trees
Description: Create a measure of inter-point dissimilarity useful for clustering mixed data, and, optionally, perform the clustering.
Author: Sam Buttrey
Maintainer: Sam Buttrey <buttrey@nps.edu>

Diff between treeClust versions 1.1-1 dated 2015-07-23 and 1.1-6 dated 2016-07-14

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Package MRIaggr (with last version 1.1.5) was removed from CRAN

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

2015-12-23 1.1.5
2015-11-08 1.1.4
2015-11-02 1.1.3
2015-05-12 1.1.2
2015-04-22 1.1
2015-03-10 1.0

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Package powerplus updated to version 2.0 with previous version 1.0 dated 2016-02-24

Title: Exponentiation Operations
Description: Computation of matrix and scalar exponentiation.
Author: Albert Dorador
Maintainer: Albert Dorador <albert.dorador@estudiant.upc.edu>

Diff between powerplus versions 1.0 dated 2016-02-24 and 2.0 dated 2016-07-14

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New package Peacock.test with initial version 1.0
Package: Peacock.test
Type: Package
Title: Two and Three Dimensional Kolmogorov-Smirnov Two-Sample Tests
Version: 1.0
Date: 2016-07-13
Author: Yuanhui Xiao
Maintainer: Yuanhui Xiao <xiao_yuanhui@hotmail.com>
Description: The original definition of the two and three dimensional Kolmogorov-Smirnov two-sample test statistics given by Peacock (1983) is implemented. Two R-functions: peacock2 and peacock3, are provided to compute the test statistics in two and three dimensional spaces, respectively. Note the Peacock test is different from the Fasano and Franceschini test (1987). The latter is a variant of the Peacock test.
License: GPL-2
Packaged: 2016-07-14 16:59:45 UTC; Y Xiao
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-07-14 20:33:50

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New package milr with initial version 0.1.0
Package: milr
Type: Package
Title: Multiple-Instance Logistic Regression with LASSO Penalty
Version: 0.1.0
Date: 2016-07-14
Description: The multiple instance data set consists of many independent subjects (called bags) and each subject is composed of several components (called instances). The outcomes of such data set are binary or multinomial, and, we can only observe the subject-level outcomes. For example, in manufactory processes, a subject is labeled as "defective" if at least one of its own components is defective, and otherwise, is labeled as "non-defective". The milr package focuses on the predictive model for the multiple instance data set with binary outcomes and performs the maximum likelihood estimation with the Expectation-Maximization algorithm under the framework of logistic regression. Moreover, the LASSO penalty is attached to the likelihood function for simultaneous parameter estimation and variable selection.
Authors@R: c(person("Ping-Yang", "Chen", , "pychen.ping@gmail.com", c("aut", "cre")), person("ChingChuan", "Chen", , "celestial0230@stat.sinica.edu.tw", "aut"), person("Chun-Hao", "Yang", , "chunhaoyang@ufl.edu", "aut"), person("Sheng-Mao", "Chang", , "smchang@mail.ncku.edu.tw", "aut"))
Author: Ping-Yang Chen [aut, cre], ChingChuan Chen [aut], Chun-Hao Yang [aut], Sheng-Mao Chang [aut]
URL: https://github.com/PingYangChen/milr
BugReports: https://github.com/PingYangChen/milr/issues
Maintainer: Ping-Yang Chen <pychen.ping@gmail.com>
Depends: R (>= 3.2.3)
Imports: assertthat, pipeR (>= 0.5), numDeriv, purrr (>= 0.2.0), Rcpp (>= 0.12.0), utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
LazyData: yes
License: MIT + file LICENSE
Collate: 'RcppExports.R' 'milr-package.R' 'DGP.R' 'softmax.R' 'milr.R'
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-07-14 15:46:29 UTC; stat
Repository: CRAN
Date/Publication: 2016-07-14 20:15:18

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New package imfr with initial version 0.1.0
Package: imfr
Type: Package
Title: Download Data from the International Monetary Fund's Data API
Version: 0.1.0
Description: Explore and download data from the International Monetary Fund's data API <http://data.imf.org/>.
Date: 2016-07-14
Authors@R: c( person("Christopher", "Gandrud", email = "christopher.gandrud@gmail.com", role = c("aut", "cre")) )
BugReports: https://github.com/christophergandrud/imfr/issues
License: GPL (>= 3)
Imports: dplyr, httr (>= 1.2.0), jsonlite
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-14 17:54:52 UTC; christophergandrud
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>
Repository: CRAN
Date/Publication: 2016-07-14 20:16:44

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Package BacArena updated to version 1.5.0 with previous version 1.0.1 dated 2016-01-06

Title: Modeling Framework for Cellular Communities in their Environments
Description: Can be used for simulation of organisms living in communities. Each organism is represented individually and genome scale metabolic models determine the uptake and release of compounds. Biological processes such as movement, diffusion, chemotaxis and kinetics are available along with data analysis techniques.
Author: Eugen Bauer [aut], Johannes Zimmermann [aut, cre]
Maintainer: Johannes Zimmermann <j.zimmermann@iem.uni-kiel.de>

Diff between BacArena versions 1.0.1 dated 2016-01-06 and 1.5.0 dated 2016-07-14

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Package SDR (with last version 0.7.0.0) was removed from CRAN

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

2016-01-16 0.7.0.0
2015-07-19 0.6.0.0

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Package PowerTOST updated to version 1.4-2 with previous version 1.3-6 dated 2016-06-06

Title: Power and Sample Size Based on Two One-Sided t-Tests (TOST) for (Bio)Equivalence Studies
Description: Contains functions to calculate power and sample size for various study designs used for bioequivalence studies. See function known.designs() for study designs covered. Moreover the package contains functions for power and sample size based on 'expected' power in case of uncertain (estimated) variability. ----- Added are functions for the power and sample size for the ratio of two means with normally distributed data on the original scale (based on Fieller's confidence ('fiducial') interval). ----- Contains further functions for power and sample size calculations based on non-inferiority t-test. This is not a TOST procedure but eventually useful if the question of 'non-superiority' must be evaluated. The power and sample size calculations based on non-inferiority test may also performed via 'expected' power in case of uncertain (estimated) variability. ----- Contains functions power.scABEL() and sampleN.scABEL() to calculate power and sample size for the BE decision via scaled (widened) BE acceptance limits (EMA recommended) based on simulations. Contains also functions scABEL.ad() and sampleN.scABEL.ad() to iteratively adjust alpha in order to maintain the overall consumer risk in ABEL studies and adapt the sample size for the loss in power. Contains further functions power.RSABE() and sampleN.RSABE() to calculate power and sample size for the BE decision via reference scaled ABE criterion according to the FDA procedure based on simulations. Contains further functions power.NTIDFDA() and sampleN.NTIDFDA() to calculate power and sample size for the BE decision via the FDA procedure for NTID's based on simulations. Contains further functions power.HVNTID() and sampleN.HVNTID() to calculate power and sample size for the BE decision via the FDA procedure for highly variable NTID's (see FDA Dabigatran / rivaroxaban guidances) ----- Contains functions for power analysis of a sample size plan for ABE (pa.ABE()), scaled ABE (pa.scABE()) and scaled ABE for NTID's (pa.NTIDFDA()) analysing power if deviating from assumptions of the plan. ----- Contains further functions for power calculations / sample size estimation for dose proportionality studies using the Power model.
Author: Detlew Labes [aut, cre], Helmut Schuetz [aut], Benjamin Lang [aut]
Maintainer: Detlew Labes <DetlewLabes@gmx.de>

Diff between PowerTOST versions 1.3-6 dated 2016-06-06 and 1.4-2 dated 2016-07-14

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Package partykit updated to version 1.1-0 with previous version 1.0-5 dated 2016-02-05

Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources (`rpart', `RWeka', `PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the `party' package are provided based on the new infrastructure.
Author: Torsten Hothorn [aut, cre], Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package multcomp updated to version 1.4-6 with previous version 1.4-5 dated 2016-05-04

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre], Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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New package matrixLaplacian with initial version 1.0
Package: matrixLaplacian
Title: Normalized Laplacian Matrix and Laplacian Map
Version: 1.0
Authors@R: person("Tianhao", "Wu", email = "tianhao.wu@yale.edu", role = c("aut", "cre"))
Imports: scatterplot3d, graphics
Description: Constructs the normalized Laplacian matrix of a square matrix, returns the eigenvectors (singular vectors) and visualization of normalized Laplacian map.
Depends: R (>= 3.2.2)
License: GNU General Public License version 2
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-14 13:44:09 UTC; tianhaowu
Author: Tianhao Wu [aut, cre]
Maintainer: Tianhao Wu <tianhao.wu@yale.edu>
Repository: CRAN
Date/Publication: 2016-07-14 15:57:37

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Package dlstats updated to version 0.0.6 with previous version 0.0.5 dated 2016-06-24

Title: Download Stats of R Packages
Description: Monthly download stats of 'CRAN' and 'Bioconductor' packages. Download stats of 'CRAN' packages is from the 'RStudio' 'CRAN mirror', see <http://cranlogs.r-pkg.org>. 'Bioconductor' package download stats is at <https://bioconductor.org/packages/stats/>.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between dlstats versions 0.0.5 dated 2016-06-24 and 0.0.6 dated 2016-07-14

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Package RVAideMemoire updated to version 0.9-57 with previous version 0.9-56 dated 2016-06-06

Title: Diverse Basic Statistical and Graphical Functions
Description: Contains diverse more or less complicated functions, written to simplify user's life: simplifications of existing functions, basic but not implemented tests, easy-to-use tools, bridges between functions of different packages... All functions are presented in the French book 'Aide-memoire de statistique appliquee a la biologie', written by the same author and available on CRAN.
Author: Maxime Hervé
Maintainer: Maxime Hervé <mx.herve@gmail.com>

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Package OPI updated to version 2.5 with previous version 2.3 dated 2015-11-10

Title: Open Perimetry Interface
Description: Implementation of the Open Perimetry Interface (OPI) for simulating and controlling visual field machines using R. The OPI is a standard for interfacing with visual field testing machines (perimeters). It specifies basic functions that allow many visual field tests to be constructed. As of February 2016 it is fully implemented on the Octopus 600 and Octopus 900 and partially on the Heidelberg Edge Perimeter, the Kowa AP 7000 and the CrewT imo. It also has a cousin: the R package visualFields, which has tools for analysing and manipulating visual field data.
Author: Andrew Turpin, David Lawson, Matthias Muller
Maintainer: Andrew Turpin <aturpin@unimelb.edu.au>

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New package rDNAse with initial version 1.1-1
Package: rDNAse
Type: Package
Version: 1.1-1
Date: 2016-6-24
Title: Generating Various Numerical Representation Schemes of DNA Sequences
Description: Comprehensive toolkit for generating various numerical representation schemes of DNA sequence. The descriptors and similarity scores included are extensively used in bioinformatics and chemogenomics.
Author: Min-feng Zhu <wind2zhu@163.com>, Jie Dong <biomed@csu.edu.cn>, Dong-sheng Cao <oriental-cds@163.com>
Maintainer: Min-feng Zhu <wind2zhu@163.com>
License: GPL (>= 2)
URL: https://github.com/wind22zhu/rDNAse
BugReports: https://github.com/wind22zhu/rDNAse/issues
LazyData: yes
Suggests: Biostrings, GOSemSim, foreach, doParallel, RCurl, org.Hs.eg.db
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-14 00:59:48 UTC; root
Repository: CRAN
Date/Publication: 2016-07-14 07:18:52

More information about rDNAse at CRAN
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Package mixtox updated to version 1.3.1 with previous version 1.3 dated 2016-05-09

Title: Curve Fitting and Mixture Toxicity Assessment
Description: Curve Fitting for monotonic(sigmoidal) & non-monotonic(J-shaped) concentration-response data. Prediction of mixture toxicity based on reference models such as 'concentration addition', 'independent action', and 'generalized concentration addition'.
Author: Xiangwei Zhu
Maintainer: Xiangwei Zhu <xwzhunc@gmail.com>

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Package MCMC4Extremes updated to version 1.1 with previous version 1.0 dated 2015-04-01

Title: Posterior Distribution of Extreme Value Models in R
Description: Provides some function to perform posterior estimation for some distribution, with emphasis to extreme value distributions. It contains some extreme datasets, and functions that perform the runs of posterior points of the GPD and GEV distribution. The package calculate some important extreme measures like return level for each t periods of time, and some plots as the predictive distribution, and return level plots.
Author: Fernando Ferraz do Nascimento [aut, cre], Wyara Vanesa Moura e Silva [aut, ctb]
Maintainer: Fernando Ferraz do Nascimento <fernandofn@ufpi.edu.br>

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Package iemiscdata updated to version 0.6.0 with previous version 0.5.2 dated 2016-06-13

Title: Irucka Embry's Miscellaneous Data Collection
Description: Miscellaneous data sets [Engineering Economics, Environmental/ Water Resources Engineering, US Presidential Elections].
Author: Irucka Embry [aut, cre]
Maintainer: Irucka Embry <iembry@ecoccs.com>

Diff between iemiscdata versions 0.5.2 dated 2016-06-13 and 0.6.0 dated 2016-07-14

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Package iemisc updated to version 0.9.1 with previous version 0.9.0 dated 2016-06-13

Title: Irucka Embry's Miscellaneous Functions
Description: A collection of Irucka Embry's miscellaneous functions (Engineering Economics, Environmental/Water Resources Engineering, Geometry, Statistics, GNU Octave length functions, etc.).
Author: Irucka Embry [aut, cre], Felix Andrews [aut, ctb] (zoo), Hans Werner Borchers [aut, ctb] (pracma), Samit Basu [aut, ctb] (FreeMat)
Maintainer: Irucka Embry <iembry@ecoccs.com>

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New package givitiR with initial version 1.2
Package: givitiR
Type: Package
Title: The GiViTI Calibration Test and Belt
Version: 1.2
Date: 2016-06-28
Authors@R: c(person("Giovanni", "Nattino", email = "giovanni.nattino@marionegri.it", role = c("cre","aut")), person("Stefano", "Finazzi", role = "aut"), person("Guido", "Bertolini", role = "aut"), person("Carlotta", "Rossi", role = "aut"), person("Greta", "Carrara", role = "aut"))
Description: Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano per la Valutazione degli interventi in Terapia Intensiva, Italian Group for the Evaluation of the Interventions in Intensive Care Units - see <http://www.giviti.marionegri.it/>) approach. The approach consists in a graphical tool, namely the GiViTI calibration belt, and in the associated statistical test. These tools can be used both to evaluate the internal calibration (i.e. the goodness of fit) and to assess the validity of an externally developed model.
License: GPL-3
LazyData: TRUE
Imports: alabama, rootSolve, grDevices, graphics, stats
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-07-13 19:30:28 UTC; Giovanni
Author: Giovanni Nattino [cre, aut], Stefano Finazzi [aut], Guido Bertolini [aut], Carlotta Rossi [aut], Greta Carrara [aut]
Maintainer: Giovanni Nattino <giovanni.nattino@marionegri.it>
Repository: CRAN
Date/Publication: 2016-07-14 07:21:13

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Package dynsurv updated to version 0.3-0 with previous version 0.2-2 dated 2014-05-01

Title: Dynamic Models for Survival Data
Description: Functions to fit time-varying coefficient models for interval censored and right censored survival data. Three major approaches are implemented: 1) Bayesian Cox model with time-independent, time-varying or dynamic coefficients for right censored and interval censored data; 2) Spline based time-varying coefficient Cox model for right censored data; 3) Transformation model with time-varying coefficients for right censored data using estimating equations.
Author: Wenjie Wang [cre, ctb], Ming-Hui Chen [aut], Xiaojing Wang [aut], Jun Yan [aut]
Maintainer: Wenjie Wang <wenjie.2.wang@uconn.edu>

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Package birk updated to version 2.1.1 with previous version 2.1.0 dated 2016-03-05

Title: MA Birk's Functions
Description: Collection of tools to make R more convenient. Includes tools to convert between units and dimensions of measurement and to summarize data using statistics not available with base R.
Author: Matthew A. Birk
Maintainer: Matthew A. Birk <matthewabirk@gmail.com>

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