Tue, 22 Aug 2017

Package wildcard updated to version 1.0.3 with previous version 1.0.2 dated 2017-07-23

Title: Templates for Data Frames
Description: Generate data frames from templates.
Author: William Michael Landau [aut, cre]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between wildcard versions 1.0.2 dated 2017-07-23 and 1.0.3 dated 2017-08-22

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Package argparse updated to version 1.0.7 with previous version 1.0.4 dated 2016-10-28

Title: Command Line Optional and Positional Argument Parser
Description: A command line parser to be used with Rscript to write "#!" shebang scripts that gracefully accept positional and optional arguments and automatically generate usage.
Author: Trevor L Davis. Ports examples from the argparse Python module by the Python Software Foundation. Ports examples from the getopt package by Allen Day.
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between argparse versions 1.0.4 dated 2016-10-28 and 1.0.7 dated 2017-08-22

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Package dexter updated to version 0.4.4 with previous version 0.4.2 dated 2017-07-18

Title: Data Management and Analysis of Tests
Description: A system for the management, assessment, and psychometric analysis of data from educational and psychological tests. Developed at Cito, The Netherlands, with subsidy from the Dutch Ministry of Education, Culture, and Science.
Author: Gunter Maris, Timo Bechger, Jesse Koops, Ivailo Partchev
Maintainer: Ivailo Partchev <Ivailo.Partchev@cito.nl>

Diff between dexter versions 0.4.2 dated 2017-07-18 and 0.4.4 dated 2017-08-22

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Package BPEC updated to version 1.1 with previous version 1.0 dated 2016-04-06

Title: Bayesian Phylogeographic and Ecological Clustering
Description: Model-based clustering for phylogeographic data comprising mtDNA sequences and geographical locations along with optional environmental characteristics, aiming to identify migration events that led to homogeneous population clusters.
Author: Ioanna Manolopoulou, Axel Hille
Maintainer: Ioanna Manolopoulou <ioanna.manolopoulou@gmail.com>

Diff between BPEC versions 1.0 dated 2016-04-06 and 1.1 dated 2017-08-22

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Package MendelianRandomization updated to version 0.2.2 with previous version 0.2.0 dated 2016-09-30

Title: Mendelian Randomization Package
Description: Encodes several methods for performing Mendelian randomization analyses with summarized data. Summarized data on genetic associations with the exposure and with the outcome can be obtained from large consortia. These data can be used for obtaining causal estimates using instrumental variable methods.
Author: Olena Yavorska <yavorsko@tcd.ie>
Maintainer: Stephen Burgess <sb452@medschl.cam.ac.uk>

Diff between MendelianRandomization versions 0.2.0 dated 2016-09-30 and 0.2.2 dated 2017-08-22

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Package haploR updated to version 1.6.0 with previous version 1.5.1 dated 2017-07-18

Title: Query 'HaploReg' and 'RegulomeDB'
Description: A set of utilities for querying 'HaploReg' <http://archive.broadinstitute.org/mammals/haploreg/haploreg.php> and 'RegulomeDB' <http://www.regulomedb.org> web-based tools. The package connects to 'HaploReg' or 'RegulomeDB', searches and downloads results, without opening web pages, directly from R environment. Results are stored in a data frame that can be directly used in various kinds of downstream analyses.
Author: Ilya Y. Zhbannikov [aut, cre], Konstantin G Arbeev [ctb] (Konstantin supervised the technical/software development.), Anatoliy I Yashin [ctb] (Anatoliy supervised the technical/software development and is a Principal Invesigator of this project)
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>

Diff between haploR versions 1.5.1 dated 2017-07-18 and 1.6.0 dated 2017-08-22

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New package SLICER with initial version 0.2.0
Package: SLICER
Type: Package
Title: Selective Locally Linear Inference of Cellular Expression Relationships
Version: 0.2.0
Author: Joshua Welch
Maintainer: Joshua Welch <jwelch@cs.unc.edu>
Description: Provides an implementation of SLICER, an algorithm for inferring cellular trajectories from single cell RNA sequencing data. See Welch, JD, Hartemink AJ, Prins JF (2016) <doi:10.1186/s13059-016-0975-3>.
License: ACM
LazyData: TRUE
Imports: alphahull, igraph, lle, grDevices, graphics, stats
Depends: R (>= 2.10)
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-08-22 15:25:03 UTC; jwelch
Repository: CRAN
Date/Publication: 2017-08-22 17:13:19 UTC

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New package simpleCache with initial version 0.3.1
Package: simpleCache
Version: 0.3.1
Date: 2017-08-21
Title: Simply Caching R Objects
Description: Provides intuitive functions for caching R objects, encouraging reproducible, restartable, and distributed R analysis. The user selects a location to store caches, and then provides nothing more than a cache name and instructions (R code) for how to produce the R object. Also provides some advanced options like environment assignments, recreating or reloading caches, and cluster compute bindings (using the 'batchtools' package) making it flexible enough for use in large-scale data analysis projects.
Authors@R: c(person("VP", "Nagraj", email = "vpnagraj@virginia.edu", role = c("aut")), person("Nathan", "Sheffield", email = "nathan@code.databio.org", role = c("aut", "cre")))
Maintainer: Nathan Sheffield <nathan@code.databio.org>
Suggests: knitr, testthat
Enhances: batchtools
VignetteBuilder: knitr
License: GPL-3
URL: http://www.github.com/databio/simpleCache
BugReports: http://www.github.com/databio/simpleCache
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-08-22 16:47:26 UTC; ns5bc
Author: VP Nagraj [aut], Nathan Sheffield [aut, cre]
Repository: CRAN
Date/Publication: 2017-08-22 17:07:10 UTC

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Package shallot updated to version 0.4.0 with previous version 0.3.2 dated 2017-05-25

Title: Random Partition Distribution Indexed by Pairwise Information
Description: Implementations are provided for the models described in the paper D. B. Dahl, R. Day, J. Tsai (2017) <DOI:10.1080/01621459.2016.1165103>. The Ewens, Ewens-Pitman, Ewens attraction, Ewens-Pitman attraction, and ddCRP distributions are available for prior simulation. We hope in the future to add posterior simulation with a user-supplied likelihood. Supporting functions for partition estimation and plotting are also planned.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between shallot versions 0.3.2 dated 2017-05-25 and 0.4.0 dated 2017-08-22

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New package routr with initial version 0.2.0
Package: routr
Type: Package
Title: A Simple Router for HTTP and WebSocket Requests
Version: 0.2.0
Date: 2017-08-21
Authors@R: c( person('Thomas Lin', 'Pedersen', , 'thomasp85@gmail.com', c('aut', 'cre')) )
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>
Description: In order to make sure that web request ends up in the correct handler function a router is often used. 'routr' is a package implementing a simple but powerful routing functionality for R based servers. It is a fully functional 'fiery' plugin, but can also be used with other 'httpuv' based servers.
License: MIT + file LICENSE
LazyData: TRUE
Imports: R6, httpuv, assertthat, uuid, utils, reqres, stringi, tools, digest
RoxygenNote: 6.0.1
Suggests: testthat, covr, fiery
URL: https://github.com/thomasp85/routr#routr
BugReports: https://github.com/thomasp85/routr/issues
NeedsCompilation: no
Packaged: 2017-08-22 15:39:09 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre]
Repository: CRAN
Date/Publication: 2017-08-22 17:24:59 UTC

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New package R2DGC with initial version 1.0.3
Package: R2DGC
Type: Package
Title: Multiple Peak Alignment for 2D Gas Chromatography Mass Spectrometry Metabolomics Analysis
Version: 1.0.3
Author: Ryne Ramaker <ryneramaker@gmail.com> Emily Gordon <egordon@hudsonalpha.org> Sara Cooper <sjcooper@hudsonalpha.org>
Maintainer: Ryne Ramaker <ryneramaker@gmail.com>
Description: Provides functions for aligning 2D gas chromatography mass spectrometry derived metabolite peaks obtained from primary processing and generates an alignment table that allows for a comparison of common peaks across samples and metabolite identification. Publication describing the package in detail is available at the following citation: Ryne C. Ramaker, Emily Gordon, Sara J. Cooper (2017) <doi:10.1101/179168>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0)
RoxygenNote: 6.0.1
Imports: parallel
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-08-22 16:09:35 UTC; myerslab
Repository: CRAN
Date/Publication: 2017-08-22 17:26:21 UTC

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New package PKPDmisc with initial version 2.0.0
Package: PKPDmisc
Type: Package
Title: Pharmacokinetic and Pharmacodynamic Data Management Functions
Version: 2.0.0
Date: 2017-08-19
Authors@R: c( person("Devin", "Pastoor", email = "devin.pastoor@gmail.com", role = c("aut", "cre")))
Description: A toolbox for data management common to pharmacokinetic and pharmacokinetic modeling and simulation, such as resampling, area-under-the-curve calculation, data chunking, custom csv output, and project scaffolding.
URL: https://github.com/dpastoor/PKPDmisc
BugReports: https://github.com/dpastoor/PKPDmisc/issues
Depends: R (>= 3.2.2)
LinkingTo: Rcpp, BH
Imports: dplyr (>= 0.5.0), data.table, ggplot2, lazyeval, magrittr, parallel, purrr, Rcpp (>= 0.12.10), readr (>= 1.0.0), rlang, stringr, tibble
Suggests: devtools, knitr, rmarkdown, testthat
LazyData: TRUE
License: MIT + file LICENSE
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-08-21 16:04:06 UTC; devin
Author: Devin Pastoor [aut, cre]
Maintainer: Devin Pastoor <devin.pastoor@gmail.com>
Repository: CRAN
Date/Publication: 2017-08-22 16:48:28 UTC

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Package ordinalNet updated to version 2.2 with previous version 2.1 dated 2017-08-19

Title: Penalized Ordinal Regression
Description: Fits ordinal regression models with elastic net penalty. Supported model families include cumulative probability, stopping ratio, continuation ratio, and adjacent category. These families are a subset of vector glm's which belong to a model class we call the elementwise link multinomial-ordinal (ELMO) class. Each family in this class links a vector of covariates to a vector of class probabilities. Each of these families has a parallel form, which is appropriate for ordinal response data, as well as a nonparallel form that is appropriate for an unordered categorical response, or as a more flexible model for ordinal data. The parallel model has a single set of coefficients, whereas the nonparallel model has a set of coefficients for each response category except the baseline category. It is also possible to fit a model with both parallel and nonparallel terms, which we call the semi-parallel model. The semi-parallel model has the flexibility of the nonparallel model, but the elastic net penalty shrinks it toward the parallel model.
Author: Michael Wurm [aut, cre], Paul Rathouz [aut], Bret Hanlon [aut]
Maintainer: Michael Wurm <wurm@wisc.edu>

Diff between ordinalNet versions 2.1 dated 2017-08-19 and 2.2 dated 2017-08-22

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Package MPSEM updated to version 0.3-2 with previous version 0.3-1 dated 2015-12-17

Title: Modeling Phylogenetic Signals using Eigenvector Maps
Description: Computational tools to represent phylogenetic signals using adapted eigenvector maps.
Author: Guillaume Guenard, with contribution from Pierre Legendre
Maintainer: Guillaume Guenard <guillaume.guenard@gmail.com>

Diff between MPSEM versions 0.3-1 dated 2015-12-17 and 0.3-2 dated 2017-08-22

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New package iDINGO with initial version 1.0.0
Package: iDINGO
Type: Package
Title: Integrative Differential Network Analysis in Genomics
Version: 1.0.0
Date: 2017-08-17
Author: Min Jin Ha <mjha@mdanderson.org>
Maintainer: Min Jin Ha <mjha@mdanderson.org>
Imports: mvtnorm, glasso, parallel, GGMridge, visNetwork, scales
Depends: igraph
Description: Fits covariate dependent partial correlation matrices for integrative models to identify differential networks between two groups.
License: GPL-2
LazyLoad: yes
Packaged: 2017-08-21 21:25:22 UTC; CAClass
RoxygenNote: 6.0.1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-08-22 17:09:37 UTC

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Package iccbeta updated to version 1.1.0 with previous version 1.0.1 dated 2017-04-26

Title: Multilevel Model Intraclass Correlation for Slope Heterogeneity
Description: A function and vignettes for computing an intraclass correlation described in Aguinis & Culpepper (2015) <doi:10.1177/1094428114563618>. This package quantifies the share of variance in a dependent variable that is attributed to group heterogeneity in slopes.
Author: Steven Andrew Culpepper [aut, cph, cre], Herman Aguinis [aut, cph]
Maintainer: Steven Andrew Culpepper <sculpepp@illinois.edu>

Diff between iccbeta versions 1.0.1 dated 2017-04-26 and 1.1.0 dated 2017-08-22

 iccbeta-1.0.1/iccbeta/src/init.c             |only
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 iccbeta-1.1.0/iccbeta/MD5                    |   29 +--
 iccbeta-1.1.0/iccbeta/NAMESPACE              |   11 -
 iccbeta-1.1.0/iccbeta/NEWS.md                |   31 ++-
 iccbeta-1.1.0/iccbeta/R/RcppExports.R        |  178 +++++++++++-----------
 iccbeta-1.1.0/iccbeta/R/datasets-docs.R      |  215 ++++++++++++++-------------
 iccbeta-1.1.0/iccbeta/R/iccbeta-internal.R   |  127 ++++++++-------
 iccbeta-1.1.0/iccbeta/README.md              |   16 +-
 iccbeta-1.1.0/iccbeta/inst/CITATION          |   26 +--
 iccbeta-1.1.0/iccbeta/man/Hofmann.Rd         |  145 +++++++++---------
 iccbeta-1.1.0/iccbeta/man/icc_beta.Rd        |  204 +++++++++++++------------
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 iccbeta-1.1.0/iccbeta/man/simICCdata.Rd      |  130 ++++++++--------
 iccbeta-1.1.0/iccbeta/src/RcppExports.cpp    |   12 +
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 16 files changed, 735 insertions(+), 623 deletions(-)

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Package eVenn updated to version 2.3.6 with previous version 2.3.5 dated 2017-06-29

Title: A Powerful Tool to Quickly Compare Huge Lists and Draw Venn Diagrams
Description: Compare lists (from 2 to infinite) and plot the results in a Venn diagram if (N<=4) with regulation details. It allows to produce a complete annotated file, merging the annotations of the compared lists. It is also possible to compute an overlaps table to show the overlaps proportions of all the couples of lists and draw proportional Venn diagrams.
Author: Nicolas Cagnard
Maintainer: Nicolas Cagnard <nicolas.cagnard@gmail.com>

Diff between eVenn versions 2.3.5 dated 2017-06-29 and 2.3.6 dated 2017-08-22

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Package esreg updated to version 0.3.1 with previous version 0.3.0 dated 2017-08-17

Title: Joint Quantile and Expected Shortfall Regression
Description: Simultaneous modeling of the quantile and the expected shortfall of a response variable given a set of covariates, see Dimitriadis and Bayer (2017) <arXiv:1704.02213>.
Author: Sebastian Bayer [aut, cre], Timo Dimitriadis [aut]
Maintainer: Sebastian Bayer <sebastian.bayer@uni-konstanz.de>

Diff between esreg versions 0.3.0 dated 2017-08-17 and 0.3.1 dated 2017-08-22

 DESCRIPTION                           |    8 ++--
 MD5                                   |   56 +++++++++++++++++-----------------
 NEWS.md                               |    3 +
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 R/esreg.R                             |   47 +++++++++++++++-------------
 R/esreg_twostep.R                     |    5 +--
 R/loss_functions.R                    |    4 +-
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Package crplyr updated to version 0.1.4 with previous version 0.1.2 dated 2017-06-06

Title: A 'dplyr' Interface for Crunch
Description: In order to facilitate analysis of datasets hosted on the Crunch data platform <http://crunch.io/>, the 'crplyr' package implements 'dplyr' methods on top of the Crunch backend. The usual methods "select", "filter", "mutate", "group_by", and "summarize" are implemented in such a way as to perform as much computation on the server and pull as little data locally as possible.
Author: Neal Richardson [aut, cre]
Maintainer: Neal Richardson <neal@crunch.io>

Diff between crplyr versions 0.1.2 dated 2017-06-06 and 0.1.4 dated 2017-08-22

 DESCRIPTION                     |    6 +++---
 MD5                             |   10 +++++-----
 NEWS.md                         |    4 ++++
 tests/testthat/test-as-tibble.R |    2 +-
 tests/testthat/test-filter.R    |    2 +-
 tests/testthat/test-select.R    |    6 +++---
 6 files changed, 17 insertions(+), 13 deletions(-)

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New package blogdown with initial version 0.1
Package: blogdown
Type: Package
Title: Create Blogs and Websites with R Markdown
Version: 0.1
Date: 2017-08-22
Authors@R: c( person("Yihui", "Xie", role = c("aut", "cre"), email = "xie@yihui.name"), person("Beilei", "Bian", role = "ctb"), person("Forest", "Fang", role = "ctb"), person("Hiroaki", "Yutani", role = "ctb"), person("JJ", "Allaire", role = "ctb"), person("Kevin", "Ushey", role = "ctb"), person(family = "RStudio Inc", role = "cph"), person() )
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<http://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
License: GPL-3
Imports: rmarkdown, bookdown (>= 0.5), knitr (>= 1.17), htmltools, yaml (>= 2.1.14), httpuv, servr (>= 0.7)
Suggests: testit, shiny, miniUI, RcppTOML, stringr, rstudioapi, tools, processx, later, xaringan
LazyData: true
URL: https://github.com/rstudio/blogdown
BugReports: https://github.com/rstudio/blogdown/issues
SystemRequirements: Hugo (<https://gohugo.io>) and Pandoc (<http://pandoc.org>)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-08-22 13:43:16 UTC; yihui
Author: Yihui Xie [aut, cre], Beilei Bian [ctb], Forest Fang [ctb], Hiroaki Yutani [ctb], JJ Allaire [ctb], Kevin Ushey [ctb], RStudio Inc [cph]
Maintainer: Yihui Xie <xie@yihui.name>
Repository: CRAN
Date/Publication: 2017-08-22 16:56:57 UTC

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Package mmand updated to version 1.5.2 with previous version 1.5.1 dated 2017-07-08

Title: Mathematical Morphology in Any Number of Dimensions
Description: Provides tools for performing mathematical morphology operations, such as erosion and dilation, on data of arbitrary dimensionality. Can also be used for finding connected components, resampling, filtering, smoothing and other image processing-style operations.
Author: Jon Clayden
Maintainer: Jon Clayden <code@clayden.org>

Diff between mmand versions 1.5.1 dated 2017-07-08 and 1.5.2 dated 2017-08-22

 DESCRIPTION                       |    8 ++++----
 MD5                               |    8 ++++----
 NEWS                              |    7 +++++++
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 tests/testthat/test-20-resample.R |    8 ++++----
 5 files changed, 22 insertions(+), 15 deletions(-)

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Package factoextra updated to version 1.0.5 with previous version 1.0.4 dated 2017-01-09

Title: Extract and Visualize the Results of Multivariate Data Analyses
Description: Provides some easy-to-use functions to extract and visualize the output of multivariate data analyses, including 'PCA' (Principal Component Analysis), 'CA' (Correspondence Analysis), 'MCA' (Multiple Correspondence Analysis), 'FAMD' (Factor Analysis of Mixed Data), 'MFA' (Multiple Factor Analysis) and 'HMFA' (Hierarchical Multiple Factor Analysis) functions from different R packages. It contains also functions for simplifying some clustering analysis steps and provides 'ggplot2' - based elegant data visualization.
Author: Alboukadel Kassambara [aut, cre], Fabian Mundt [aut]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between factoextra versions 1.0.4 dated 2017-01-09 and 1.0.5 dated 2017-08-22

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Package Wrapped updated to version 2.0 with previous version 1.0 dated 2017-02-05

Title: Computes Pdf, Cdf, Quantile, Random Numbers and Provides Estimation for any Univariate Wrapped Distributions
Description: Computes the pdf, cdf, quantile, random numbers for any wrapped G distributions. Computes maximum likelihood estimates of the parameters, standard errors, 95 percent confidence intervals, value of Cramer-von Misses statistic, value of Anderson Darling statistic, value of Kolmogorov Smirnov test statistic and its $p$-value, value of Akaike Information Criterion, value of Consistent Akaike Information Criterion, value of Bayesian Information Criterion, value of Hannan-Quinn information criterion, minimum value of the negative log-likelihood function and convergence status when the wrapped distribution is fitted to some data.
Author: Saralees Nadarajah, Yuanyuan Zhang
Maintainer: Saralees Nadarajah <mbbsssn2@manchester.ac.uk>

Diff between Wrapped versions 1.0 dated 2017-02-05 and 2.0 dated 2017-08-22

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Package vcrpart updated to version 1.0-0 with previous version 0.4-2 dated 2016-11-05

Title: Tree-Based Varying Coefficient Regression for Generalized Linear and Ordinal Mixed Models
Description: Recursive partitioning for varying coefficient generalized linear models and ordinal linear mixed models. Special features are coefficient-wise partitioning, non-varying coefficients and partitioning of time-varying variables in longitudinal regression.
Author: Reto Buergin [aut, cre, cph], Gilbert Ritschard [ctb, ths]
Maintainer: Reto Buergin <rbuergin@gmx.ch>

Diff between vcrpart versions 0.4-2 dated 2016-11-05 and 1.0-0 dated 2017-08-22

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 33 files changed, 5812 insertions(+), 5041 deletions(-)

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Package rscala updated to version 2.3.1 with previous version 2.2.2 dated 2017-05-25

Title: Bi-Directional Interface Between R and Scala with Callbacks
Description: The Scala <http://www.scala-lang.org/> interpreter is embedded in R and callbacks to R from the embedded interpreter are supported. Conversely, the R interpreter is embedded in Scala. Scala versions in the 2.10.x, 2.11.x, and 2.12.x series are supported.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between rscala versions 2.2.2 dated 2017-05-25 and 2.3.1 dated 2017-08-22

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New package pointblank with initial version 0.1
Package: pointblank
Type: Package
Title: Validation of Local and Remote Data Tables
Version: 0.1
Authors@R: person("Rich", "Iannone", email = "riannone@me.com", role = c("aut", "cre"))
Description: Validate data in local data frames, local 'tibble' objects, in 'CSV' and 'TSV' files, and in database tables ('PostgreSQL' and 'MySQL'). Validation pipelines can be made using easily-readable, consecutive validation steps and such pipelines allow for switching of the data table context. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions (e.g., sending email notifications).
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Imports: digest (>= 0.6.12), dplyr (>= 0.7.2), Hmisc (>= 4.0-3), htmltools (>= 0.3.6), knitr (>= 1.15.1), lazyWeave (>= 3.0.1), lubridate (>= 1.6.0), magrittr (>= 1.5), mailR (>= 0.4.1), pixiedust (>= 0.7.5), purrr (>= 0.2.3), readr (>= 1.1.1), rJava (>= 0.9-8), rlang (>= 0.1.1), rmarkdown (>= 1.6), stringr (>= 1.2.0), tibble (>= 1.3.3), tidyr (>= 0.6.3)
Suggests: testthat
URL: https://github.com/rich-iannone/pointblank
BugReports: https://github.com/rich-iannone/pointblank/issues
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-08-21 19:00:02 UTC; riannone
Author: Rich Iannone [aut, cre]
Maintainer: Rich Iannone <riannone@me.com>
Repository: CRAN
Date/Publication: 2017-08-22 15:26:31 UTC

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New package Knoema with initial version 0.1.7
Package: Knoema
Title: Interface to the Knoema API
Version: 0.1.7
Date: 2017-08-22
Authors@R: c(person("Pavel Pimenov", role=c("aut", "cre"), email="pimenov@knoema.com"), person("Ekaterina Chirkova", role="aut", email="chirkova@knoema.com"), person("Knoema", role="cph"))
Maintainer: Pavel Pimenov <pimenov@knoema.com>
Description: 'Knoema' has the largest collection of public data and statistics on the Internet featuring about 2.5 billion time series from thousands of sources. Using 'Knoema' API users can access the data in the 'Knoema' repository and use rich R calculations in order to analyze the data. Because data in 'Knoema' is time series data, 'Knoema' function offers data in a number of formats usable in R such as 'ts', 'xts' or 'zoo'. For more information about 'Knoema' API go to <https://knoema.com/dev/docs>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: httr, jsonlite, base64enc, digest, lubridate, xts, zoo, methods
Depends: R (>= 3.3.0)
RoxygenNote: 6.0.1
Suggests: testthat
URL: https://github.com/Knoema/knoema-r-driver
NeedsCompilation: no
Packaged: 2017-08-22 12:48:52 UTC; dev05
Author: Pavel Pimenov [aut, cre], Ekaterina Chirkova [aut], Knoema [cph]
Repository: CRAN
Date/Publication: 2017-08-22 15:07:08 UTC

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New package Seurat with initial version 2.0.1
Package: Seurat
Version: 2.0.1
Date: 2017-08-18
Title: Tools for Single Cell Genomics
Description: A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Butler A and Satija R (2017) <doi:10.1101/164889> for more details.
Authors@R: c( person(given = 'Rahul', family = 'Satija', email = 'rsatija@nygenome.org', role = 'aut'), person(given = 'Andrew', family = 'Butler', email = 'abutler@nygenome.org', role = 'aut'), person(given = 'Paul', family = 'Hoffman', email = 'seuratpackage@gmail.com', role = c('aut', 'cre')), person(given = 'Jeff', family = 'Farrell', email = 'jfarrell@g.harvard.edu', role = 'ctb'), person(given = 'Shiwei', family = 'Zheng', email = 'szheng@nygenome.org', role = 'ctb'), person(given = 'Christoph', family = 'Hafemeister', email = 'chafemeister@nygenome.org', role = 'ctb'), person(given = 'Patrick', family = 'Roelli', email = 'proelli@nygenome.org', role = 'ctb') )
URL: http://www.satijalab.org/seurat, https://github.com/satijalab/seurat
BugReports: https://github.com/satijalab/seurat/issues
Depends: R (>= 3.2.0), ggplot2, cowplot, Matrix,
SystemRequirements: Java (>= 1.6)
Imports: methods, ROCR, stringr, mixtools, lars, ica, tsne, Rtsne, fpc, ape, VGAM, pbapply, igraph, FNN, caret, e1071, dplyr, RColorBrewer, MASS, irlba, reshape2, gridExtra, gplots, gdata, Rcpp, tclust, ranger, compositions, NMF, NMOF, dtw, SDMTools, plotly, diffusionMap, Hmisc, tidyr, ggjoy
LinkingTo: Rcpp, RcppEigen, RcppProgress
License: GPL-3 | file LICENSE
LazyData: true
Collate: 'RcppExports.R' 'seurat.R' 'cluster_determination.R' 'cluster_determination_internal.R' 'cluster_validation.R' 'data.R' 'deprecated_functions.R' 'differential_expression.R' 'differential_expression_internal.R' 'dimensional_reduction.R' 'dimensional_reduction_internal.R' 'dimensional_reduction_utilities.R' 'interaction.R' 'jackstraw.R' 'jackstraw_internal.R' 'multi_modal.R' 'plotting.R' 'plotting_internal.R' 'plotting_utilities.R' 'preprocessing.R' 'preprocessing_internal.R' 'printing_utilities.R' 'scoring.R' 'snn.R' 'spatial.R' 'spatial_internal.R' 'tSNE_project.R' 'utilities.R' 'utilities_internal.R'
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: yes
Packaged: 2017-08-21 18:06:53 UTC; paul
Author: Rahul Satija [aut], Andrew Butler [aut], Paul Hoffman [aut, cre], Jeff Farrell [ctb], Shiwei Zheng [ctb], Christoph Hafemeister [ctb], Patrick Roelli [ctb]
Maintainer: Paul Hoffman <seuratpackage@gmail.com>
Repository: CRAN
Date/Publication: 2017-08-22 14:57:35 UTC

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Package move updated to version 3.0.0 with previous version 2.1.0 dated 2016-08-23

Title: Visualizing and Analyzing Animal Track Data
Description: Contains functions to access movement data stored in 'movebank.org' as well as tools to visualize and statistically analyze animal movement data, among others functions to calculate dynamic Brownian Bridge Movement Models. Move helps addressing movement ecology questions.
Author: Bart Kranstauber [aut, cre], Marco Smolla [aut], Anne K Scharf [aut]
Maintainer: Bart Kranstauber <bart.kranstauber@ieu.uzh.ch>

Diff between move versions 2.1.0 dated 2016-08-23 and 3.0.0 dated 2017-08-22

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More information about move at CRAN
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Package ggeffects updated to version 0.2.1 with previous version 0.2.0 dated 2017-07-24

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are 'ggpredict()' and 'ggaverage()', however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic 'plot()'-method to plot the results using 'ggplot2'.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between ggeffects versions 0.2.0 dated 2017-07-24 and 0.2.1 dated 2017-08-22

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Package difNLR updated to version 1.1.0 with previous version 1.0.3 dated 2017-06-16

Title: Detection of Differential Item Functioning (DIF) and Differential Distractor Functioning (DDF) by Non-Linear Regression Models
Description: Detection of DIF among dichotomously scored items and DDF among unscored items with non-linear regression procedures based on generalized logistic regression models.
Author: Adela Drabinova [aut, cre], Patricia Martinkova [aut], Karel Zvara [aut]
Maintainer: Adela Drabinova <adela.drabinova@gmail.com>

Diff between difNLR versions 1.0.3 dated 2017-06-16 and 1.1.0 dated 2017-08-22

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New package ConfigParser with initial version 1.0.0
Package: ConfigParser
Title: Package to Parse an INI File, Including Variable Interpolation
Version: 1.0.0
Authors@R: person("Holger", "Hoefling", email = "hhoeflin@gmail.com", role = c("aut", "cre"))
Description: Enhances the 'ini' package by adding the ability to interpolate variables. The INI configuration file is read into an R6 ConfigParser object (loosely inspired by Pythons ConfigParser module) and the keys can be read, where '%(....)s' instances are interpolated by other included options or outside variables.
Depends: R (>= 3.0.0), ini, R6
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat
RoxygenNote: 6.0.1.9000
URL: https://github.com/hhoeflin/ConfigParser
BugReports: https://github.com/hhoeflin/ConfigParser/issues
NeedsCompilation: no
Packaged: 2017-08-16 19:00:42 UTC; hhoeflin
Author: Holger Hoefling [aut, cre]
Maintainer: Holger Hoefling <hhoeflin@gmail.com>
Repository: CRAN
Date/Publication: 2017-08-22 14:02:31 UTC

More information about ConfigParser at CRAN
Permanent link

Package simpleCache (with last version 0.3.0) was removed from CRAN

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

2017-08-21 0.3.0

Permanent link
Package zic updated to version 0.9.1 with previous version 0.9 dated 2015-09-03

Title: Bayesian Inference for Zero-Inflated Count Models
Description: Provides MCMC algorithms for the analysis of zero-inflated count models. The case of stochastic search variable selection (SVS) is also considered. All MCMC samplers are coded in C++ for improved efficiency. A data set considering the demand for health care is provided.
Author: Markus Jochmann <markus.jochmann@ncl.ac.uk>
Maintainer: Markus Jochmann <markus.jochmann@ncl.ac.uk>

Diff between zic versions 0.9 dated 2015-09-03 and 0.9.1 dated 2017-08-22

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Package ShinyItemAnalysis updated to version 1.2.3 with previous version 1.2.0 dated 2017-06-16

Title: Test and Item Analysis via Shiny
Description: Interactive shiny application for analysis of educational tests and their items.
Author: Patricia Martinkova [aut, cre], Adela Drabinova [aut], Ondrej Leder [aut], Jakub Houdek [aut], Lubomir Stepanek [ctb]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>

Diff between ShinyItemAnalysis versions 1.2.0 dated 2017-06-16 and 1.2.3 dated 2017-08-22

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 ShinyItemAnalysis-1.2.3/ShinyItemAnalysis/NEWS                                                        |  101 
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 ShinyItemAnalysis-1.2.3/ShinyItemAnalysis/README.md                                                   |   10 
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Package tensorBSS updated to version 0.3.1 with previous version 0.3 dated 2017-05-18

Title: Blind Source Separation Methods for Tensor-Valued Observations
Description: Contains several utility functions for manipulating tensor-valued data (centering, multiplication from a single mode etc.) and the implementations of the following blind source separation methods for tensor-valued data: 'tPCA', 'tFOBI', 'tJADE', 'tgFOBI', 'tgJADE', 'tSOBI', 'tNSS.SD', 'tNSS.JD' and 'tNSS.TD.JD'.
Author: Joni Virta, Bing Li, Klaus Nordhausen, Hannu Oja
Maintainer: Joni Virta <jomivi@utu.fi>

Diff between tensorBSS versions 0.3 dated 2017-05-18 and 0.3.1 dated 2017-08-22

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Package QRegVCM updated to version 1.1 with previous version 1.0 dated 2016-07-19

Title: Quantile Regression in Varying-Coefficient Models
Description: Quantile regression in varying-coefficient models (VCM) using one particular nonparametric technique called P-splines. The functions can be applied on three types of VCM; (1) Homoscedastic VCM, (2) Simple heteroscedastic VCM, and (3) General heteroscedastic VCM.
Author: 'Andriyana, Y.' [aut, cre], 'Ibrahim M. A.' [aut], 'Gijbels, I.' [ctb], 'Verhasselt A.' [ctb]
Maintainer: "Andriyana.Y" <y.andriyana@unpad.ac.id>

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Package tibble updated to version 1.3.4 with previous version 1.3.3 dated 2017-05-28

Title: Simple Data Frames
Description: Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], Romain Francois [ctb], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between tibble versions 1.3.3 dated 2017-05-28 and 1.3.4 dated 2017-08-22

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Package TrendInTrend updated to version 1.0.2 with previous version 1.0.1 dated 2017-01-09

Title: Odds Ratio Estimation and Power Calculation for the Trend in Trend Model
Description: Estimation of causal odds ratio and power calculation given trends in exposure prevalence and outcome frequencies of stratified data.
Author: Xinyao Ji and Ashkan Ertefaie
Maintainer: Ashkan Ertefaie <ashkan_ertefaie@urmc.rochester.edu>

Diff between TrendInTrend versions 1.0.1 dated 2017-01-09 and 1.0.2 dated 2017-08-22

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New package STARTdesign with initial version 1.0
Package: STARTdesign
Type: Package
Title: Single to Double Arm Transition Design for Phase II Clinical Trials
Version: 1.0
Date: 2017-08-21
Author: Haolun Shi and Guosheng Yin
Maintainer: Haolun Shi <shl2003@connect.hku.hk>
Description: The package is used for calibrating the design parameters for single-to-double arm transition design proposed by Shi and Yin (2017). The calibration is performed via numerical enumeration to find the optimal design that satisfies the constraints on the type I and II error rates.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.7)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-08-22 02:16:17 UTC; ra3
Repository: CRAN
Date/Publication: 2017-08-22 07:09:44 UTC

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Package ggpubr updated to version 0.1.5 with previous version 0.1.4 dated 2017-06-28

Title: 'ggplot2' Based Publication Ready Plots
Description: 'ggplot2' is an excellent and flexible package for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for publication. Furthermore, to customize a 'ggplot', the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. 'ggpubr' provides some easy-to-use functions for creating and customizing 'ggplot2'- based publication ready plots.
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

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Package geigen updated to version 2.1 with previous version 2.0 dated 2017-02-16

Title: Calculate Generalized Eigenvalues, the Generalized Schur Decomposition and the Generalized Singular Value Decomposition of a Matrix Pair with Lapack
Description: Functions to compute generalized eigenvalues and eigenvectors, the generalized Schur decomposition and the generalized Singular Value Decomposition of a matrix pair, using Lapack routines.
Author: Berend Hasselman [cre, aut], Lapack authors [aut, cph]
Maintainer: Berend Hasselman <bhh@xs4all.nl>

Diff between geigen versions 2.0 dated 2017-02-16 and 2.1 dated 2017-08-22

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Package BeSS updated to version 1.0.3 with previous version 1.0.2 dated 2017-06-29

Title: Best Subset Selection for Sparse Generalized Linear Model and Cox Model
Description: An implementation of best subset selection in generalized linear model and Cox proportional hazard model via the primal dual active set algorithm. The algorithm formulates coefficient parameters and residuals as primal and dual variables and utilizes efficient active set selection strategies based on the complementarity of the primal and dual variables.
Author: Canhong Wen, Aijun Zhang, Shijie Quan, Xueqin Wang
Maintainer: Canhong Wen <wencanhong@gmail.com>

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