Fri, 21 Sep 2018

New package zeroEQpart with initial version 0.1.0
Package: zeroEQpart
Type: Package
Title: Zero Order vs (Semi) Partial Correlation Test and CI
Version: 0.1.0
Imports: ppcor, stats, utils, MASS
Authors@R: c( person("Dan", "Richard", email = "djrichar@ualberta.ca", role = c("aut", "cre")), person("Karen", "Buro", email = "BuroK@macewan.ca", role = "ctb"), person("Wanhua", "Su", email = "SuW3@macewan.ca", role = "ctb") )
Description: Uses bootstrap to test zero order correlation being equal to a partial or semi-partial correlation (one or two tailed). Confidence intervals for the parameter (zero order minus partial) can also be determined. Implements the bias-corrected and accelerated bootstrap method as described in "An Introduction to the Bootstrap" Efron (1983) <0-412-04231-2>.
URL: https://github.com/djrichar92/zeroEQpart
BugReports: https://github.com/djrichar92/zeroEQpart/issues
License: GPL-2
Encoding: UTF-8
LazyData: FALSE
Date: 2018-09-13
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-09-13 17:35:56 UTC; djric
Author: Dan Richard [aut, cre], Karen Buro [ctb], Wanhua Su [ctb]
Maintainer: Dan Richard <djrichar@ualberta.ca>
Repository: CRAN
Date/Publication: 2018-09-21 22:30:03 UTC

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New package trigpoints with initial version 1.0.0
Package: trigpoints
Title: Data Set of Trig Points in Great Britain in British National Grid Coordinates
Version: 1.0.0
Authors@R: person(given = "Phil Mike", family = "Jones", role = c("aut", "cre"), email = "philmikejones@gmail.com", comment = c(ORCID = "0000-0001-5173-3245"))
Description: A complete data set of historic GB trig points in British National Grid (OSGB36) coordinate reference system. Trig points (aka triangulation stations) are fixed survey points used to improve the accuracy of map making in Great Britain during the 20th Century. Trig points are typically located on hilltops so still serve as a useful navigational aid for walkers and hikers today.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Depends: R (>= 2.10)
Imports: sf, tibble
BugReports: https://github.com/philmikejones/trigpoints/issues
URL: https://philmikejones.github.io/trigpoints/
NeedsCompilation: no
Packaged: 2018-09-15 09:13:12 UTC; lw1pj
Author: Phil Mike Jones [aut, cre] (<https://orcid.org/0000-0001-5173-3245>)
Maintainer: Phil Mike Jones <philmikejones@gmail.com>
Repository: CRAN
Date/Publication: 2018-09-21 22:40:03 UTC

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Package Rmagic updated to version 1.3.0 with previous version 1.0.0 dated 2018-07-10

Title: MAGIC - Markov Affinity-Based Graph Imputation of Cells
Description: MAGIC (Markov affinity-based graph imputation of cells) is a method for addressing technical noise in single-cell data, including under-sampling of mRNA molecules, often termed "dropout" which can severely obscure important gene-gene relationships. MAGIC shares information across similar cells, via data diffusion, to denoise the cell count matrix and fill in missing transcripts. Read more: van Dijk et al. (2018) <DOI:10.1016/j.cell.2018.05.061>.
Author: David van Dijk [aut], Scott Gigante [cre] (<https://orcid.org/0000-0002-4544-2764>)
Maintainer: Scott Gigante <scott.gigante@yale.edu>

Diff between Rmagic versions 1.0.0 dated 2018-07-10 and 1.3.0 dated 2018-09-21

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New package powdR with initial version 0.1.0
Package: powdR
Type: Package
Title: Full Pattern Summation of X-Ray Powder Diffraction Data
Version: 0.1.0
Date: 2018-09-13
Authors@R: c( person("Benjamin", "Butler", email = "benjamin.butler@hutton.ac.uk", role = c("aut", "cre")), person("Stephen", "Hillier", email = "stephen.hillier@hutton.ac.uk", role = "ctb"))
Maintainer: Benjamin Butler <benjamin.butler@hutton.ac.uk>
Description: Full pattern summation of X-ray powder diffraction data as described in Chipera and Bish (2002) <doi:10.1107/S0021889802017405>. Derives quantitative estimates of crystalline and amorphous phase concentrations in complex mixtures.
License: GPL-2 | file LICENSE
URL: http://github.com/benmbutler/powdR
BugReports: http://github.com/benmbutler/powdR/issues
Depends: R (>= 3.2.0)
Encoding: UTF-8
LazyData: true
Imports: reshape (>= 0.8.6), plotly (>= 4.7.1), ggplot2 (>= 2.2.1), stats (>= 3.4.3), ggpubr(>= 0.1.7), shiny (>= 1.0.5)
Suggests: knitr, rmarkdown
RoxygenNote: 6.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-09-13 18:23:14 UTC; bb42885
Author: Benjamin Butler [aut, cre], Stephen Hillier [ctb]
Repository: CRAN
Date/Publication: 2018-09-21 22:30:06 UTC

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New package optweight with initial version 0.1.0
Package: optweight
Type: Package
Title: Targeted Stable Balancing Weights Using Optimization
Version: 0.1.0
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Description: Use optimization to estimate weights that balance covariates for binary, multinomial, continuous, and longitudinal treatments in the spirit of Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>. The degree of balance can be specified for each covariate.
Depends: R (>= 3.4.0)
Imports: rosqp (>= 0.1.0), Matrix (>= 1.2-13), ggplot2 (>= 3.0.0)
Suggests: cobalt (>= 3.4.1), twang (>= 1.5)
License: GPL
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-09-15 18:42:33 UTC; NoahGreifer
Repository: CRAN
Date/Publication: 2018-09-21 22:40:07 UTC

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New package LocalControlStrategy with initial version 1.3
Package: LocalControlStrategy
Title: Local Control Strategy for Analysis of Cross-Sectional Data
Version: 1.3
Date: 2018-09-15
Author: Bob Obenchain
Maintainer: Bob Obenchain <wizbob@att.net>
Depends: cluster, lattice
Description: Especially when cross-sectional data are observational, effects of treatment selection bias and confounding are revealed by using the unsupervised, nonparametric preprocessing methods central to Local Control (LC) strategy. The LC objective is to estimate the "effect-size distribution" that best quantifies a potentially causal relationship between a continuous y-Outcome variable and a t-Treatment variable. This t-variable may be either binary {1 = "new" vs 0 = "control"} or a numeric measure of Exposure level. LC Strategy starts by CLUSTERING experimental units (patients) on baseline x-Covariates, forming mutually exclusive and exhaustive BLOCKS of relatively well-matched units. The implicit statistical model for LC is thus simple one-way ANOVA. The Within-Block measures of effect-size are Local Rank Correlations (LRCs) when Exposure is numeric with more than two levels. Otherwise, Treatment choice is Nested within BLOCKS, and effect-sizes are Local Treatment Differences (LTDs) between within-cluster y-Outcome Means ["new" minus "control"]. An Instrumental Variable (IV) method is also provided so that Local Average y-Outcomes (LAOs) within BLOCKS may also contribute information for effect-size inferences ...assuming that x-Covariates influence only Treatment choice or Exposure level and otherwise have no direct effects on y-Outcome.
License: GPL
URL: https://www.R-project.org, http://localcontrolstatistics.org
NeedsCompilation: no
Packaged: 2018-09-14 17:24:52 UTC; wiz
Repository: CRAN
Date/Publication: 2018-09-21 22:30:18 UTC

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Package inctools updated to version 1.0.14 with previous version 1.0.11 dated 2018-01-03

Title: Incidence Estimation Tools
Description: Tools for estimating incidence from biomarker data in cross- sectional surveys, and for calibrating tests for recent infection. Implements and extends the method of Kassanjee et al. (2012) <doi:10.1097/EDE.0b013e3182576c07>.
Author: Alex Welte [aut], Eduard Grebe [cre, aut], Avery McIntosh [aut], Petra Bäumler [aut], Reshma Kassanjee [ctb], Hilmarie Brand [ctb], Cari Van Schalkwyk [ctb], Yuruo Li [ctb], Simon Daniel [ctb], Stefano Ongarello [aut], Yusuke Asai [ctb], Jeffrey Eaton [ctb]
Maintainer: Eduard Grebe <eduardgrebe@sun.ac.za>

Diff between inctools versions 1.0.11 dated 2018-01-03 and 1.0.14 dated 2018-09-21

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Package finalfit updated to version 0.8.7 with previous version 0.8.6 dated 2018-08-30

Title: Quickly Create Elegant Regression Results Tables and Plots when Modelling
Description: Generate regression results tables and plots in final format for publication. Explore models and export directly to PDF and 'Word' using 'RMarkdown'.
Author: Ewen Harrison [aut, cre], Tom Drake [aut], Riinu Ots [aut]
Maintainer: Ewen Harrison <ewen.harrison@ed.ac.uk>

Diff between finalfit versions 0.8.6 dated 2018-08-30 and 0.8.7 dated 2018-09-21

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New package BootstrapQTL with initial version 1.0.2
Package: BootstrapQTL
Type: Package
Title: Bootstrap cis-QTL Method that Corrects for the Winner's Curse
Version: 1.0.2
Author: Qin Qin Huang [aut], Scott Ritchie [aut, cre]
Maintainer: Scott Ritchie <sritchie73@gmail.com>
BugReports: https://github.com/InouyeLab/bootstrapQTL/issues
Description: Identifies genome-related molecular traits with significant evidence of genetic regulation and performs a bootstrap procedure to correct estimated effect sizes for over-estimation present in cis-QTL mapping studies (The "Winner's Curse"), described in Huang QQ *et al.* 2018 <doi: 10.1093/nar/gky780>.
Depends: MatrixEQTL
Imports: foreach, data.table
Suggests: doMC, doParallel, qvalue, testthat
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-09-14 16:24:35 UTC; sritchie
Repository: CRAN
Date/Publication: 2018-09-21 22:30:22 UTC

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New package blockingChallenge with initial version 1.0
Package: blockingChallenge
Type: Package
Title: Create Blocks or Strata which are Similar Within
Version: 1.0
Date: 2018-09-10
Author: Bikram Karmakar
Maintainer: Bikram Karmakar <bikramk@wharton.upenn.edu>
Description: Implements a heuristic algorithm to build blocks of a given size aiming to maximize similarity within strata across multiple covariates. The blocking structure can be used for causal inference and for sensitivity analysis to unmeasured confounding. A stratified structure gives more flexibility for using multiple instrumental variables and direct treatment vs. control analysis as evidence factors. Karmakar, B., Small, D. S., and Rosenbaum, P. R. (2018). Rosenbaum, P. R. (2010)<ISBN:978-1-4419-1213-8>.
Enhances: optmatch
Suggests: MASS
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2018-09-14 17:23:35 UTC; bikra
Repository: CRAN
Date/Publication: 2018-09-21 22:50:08 UTC

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New package blin with initial version 0.0.1
Package: blin
Title: Bipartite Longitudinal Influence Network (BLIN) Estimation
Version: 0.0.1
Authors@R: c(person("Frank W. Marrs", email="frank.marrs@colostate.edu", role=c("aut", "cre")), person("Benjamin W. Campbell", role=c("aut")), person("Bailey K. Fosdick", role=c("aut")), person("Skyler J. Cranmer", role=c("aut")), person("Tobias B{\"o}hmelt", role=c("aut")))
Description: Estimate influence networks from longitudinal bipartite relational data, where the longitudinal relations are continuous. The outputs are estimates of weighted influence networks among each actor type in the data set. The generative model is the Bipartite Longitudinal Influence Network (BLIN) model, a linear autoregressive model for these type of data. The supporting paper is ``Inferring Influence Networks from Longitudinal Bipartite Relational Data'', which is in preparation by the same authors. The model may be estimated using maximum likelihood methods and Bayesian methods. For more detail on methods, see Marrs et. al. <arXiv:1809.03439>.
Depends: R (>= 3.3.0)
Imports: glmnet, stats, Matrix, MASS, abind, graphics, mvtnorm
VignetteBuilder: knitr
Suggests: knitr, knitcitations
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-09-14 17:33:42 UTC; fmarrs3
Author: Frank W. Marrs [aut, cre], Benjamin W. Campbell [aut], Bailey K. Fosdick [aut], Skyler J. Cranmer [aut], Tobias B{"o}hmelt [aut]
Maintainer: Frank W. Marrs <frank.marrs@colostate.edu>
Repository: CRAN
Date/Publication: 2018-09-21 22:30:10 UTC

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New package autocogs with initial version 0.1.1
Package: autocogs
Title: Automatic Cognostic Summaries
Version: 0.1.1
Authors@R: c( person("Barret", "Schloerke", email = "schloerke@gmail.com", role = c("aut")), person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("ths", "cre")) )
Description: Automatically calculates cognostic groups for plot objects and list column plot objects. Results are returned in a nested data frame.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, checkmate, MASS, broom, moments, diptest, mclust, ggplot2, tibble, utils, hexbin, progress
RoxygenNote: 6.1.0
Collate: 'autocog.R' 'known_cog_groups.R' 'add_cog_group.R' 'field_info.R' 'add_cog_group_.R' 'known_layer_cogs.R' 'add_layer_cogs.R' 'add_layer_cogs_.R' 'cog_desc.R' 'cog_spec.R' 'layer_count.R' 'layer_info.R' 'of_type.R' 'plot_class.R' 'plot_cogs.R'
Suggests: testthat, covr
URL: https://github.com/schloerke/autocogs
BugReports: https://github.com/schloerke/autocogs/issues
NeedsCompilation: no
Packaged: 2018-09-13 17:32:16 UTC; hafen
Author: Barret Schloerke [aut], Ryan Hafen [ths, cre]
Maintainer: Ryan Hafen <rhafen@gmail.com>
Repository: CRAN
Date/Publication: 2018-09-21 22:30:13 UTC

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Package units updated to version 0.6-1 with previous version 0.6-0 dated 2018-06-09

Title: Measurement Units for R Vectors
Description: Support for measurement units in R vectors, matrices and arrays: automatic propagation, conversion, derivation and simplification of units; raising errors in case of unit incompatibility. Compatible with the POSIXct, Date and difftime classes. Uses the UNIDATA udunits library and unit database for unit compatibility checking and conversion.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Thomas Mailund [aut], Tomasz Kalinowski [aut], James Hiebert [ctb], Iñaki Ucar [ctb] (<https://orcid.org/0000-0001-6403-5550>)
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between units versions 0.6-0 dated 2018-06-09 and 0.6-1 dated 2018-09-21

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Package STPGA updated to version 5.2 with previous version 5.1 dated 2018-08-16

Title: Selection of Training Populations by Genetic Algorithm
Description: Combining Predictive Analytics and Experimental Design to Optimize Results. To be utilized to select a test data calibrated training population in high dimensional prediction problems and assumes that the explanatory variables are observed for all of the individuals. Once a "good" training set is identified, the response variable can be obtained only for this set to build a model for predicting the response in the test set. The algorithms in the package can be tweaked to solve some other subset selection problems.
Author: Deniz Akdemir
Maintainer: Deniz Akdemir <deniz.akdemir.work@gmail.com>

Diff between STPGA versions 5.1 dated 2018-08-16 and 5.2 dated 2018-09-21

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Package RSAP (with last version 0.9) was removed from CRAN

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

2013-02-21 0.9
2013-02-02 0.7

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Package skpr updated to version 0.56.1 with previous version 0.54.3 dated 2018-08-08

Title: Design of Experiments Suite: Generate and Evaluate Optimal Designs
Description: Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible.
Author: Tyler Morgan-Wall [aut, cre], George Khoury [aut]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

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Package TSstudio updated to version 0.1.2 with previous version 0.1.1 dated 2018-02-07

Title: Functions for Time Series Analysis and Forecasting
Description: Provides a set of tools for descriptive and predictive analysis of time series data. That includes functions for interactive visualization of time series objects and as well utility functions for automation time series forecasting.
Author: Rami Krispin
Maintainer: Rami Krispin <rami.krispin@gmail.com>

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Package gbfs updated to version 1.1.0 with previous version 1.0.0 dated 2018-05-11

Title: Interface with General Bikeshare Feed Specification Files
Description: Supplies a set of functions to interface with General Bikeshare Feed Specification .json feeds in R, allowing users to save and accumulate tidy .rds datasets for specified cities/bikeshare programs.
Author: Kaelyn Rosenberg [aut], Simon P. Couch [aut, cre], Mark Padgham [ctb]
Maintainer: Simon P. Couch <simonpatrickcouch@gmail.com>

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Package covr updated to version 3.2.0 with previous version 3.1.0 dated 2018-05-18

Title: Test Coverage for Packages
Description: Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <http://codecov.io> or 'Coveralls' <http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.
Author: Jim Hester [aut, cre], Willem Ligtenberg [ctb], Kirill Müller [ctb], Henrik Bengtsson [ctb], Steve Peak [ctb], Kirill Sevastyanenko [ctb], Jon Clayden [ctb], Robert Flight [ctb], Eric Brown [ctb], Brodie Gaslam [ctb], Will Beasley [ctb], Robert Krzyzanowski [ctb], Markus Wamser [ctb], Karl Forner [ctb], Gergely Daróczi [ctb], Jouni Helske [ctb], Kun Ren [ctb], Jeroen Ooms [ctb], Ken Williams [ctb], Chris Campbell [ctb], David Hugh-Jones [ctb], Qin Wang [ctb], Ivan Sagalaev [ctb, cph] (highlight.js library), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library)
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package RTransferEntropy updated to version 0.2.7 with previous version 0.2.5 dated 2018-07-25

Title: Measuring Information Flow Between Time Series with Shannon and Renyi Transfer Entropy
Description: Measuring information flow between time series with Shannon and Rényi transfer entropy. See also Dimpfl and Peter (2013) <doi:10.1515/snde-2012-0044> and Dimpfl and Peter (2014) <doi:10.1016/j.intfin.2014.03.004> for theory and applications to financial time series. Additional references can be found in the theory part of the vignette.
Author: Simon Behrendt [aut, cre], David Zimmermann [aut], Thomas Dimpfl [aut], Franziska Peter [aut]
Maintainer: Simon Behrendt <simon.behrendt@zu.de>

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Package robustbase updated to version 0.93-3 with previous version 0.93-2 dated 2018-07-27

Title: Basic Robust Statistics
Description: "Essential" Robust Statistics. Tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where we strive to cover the book "Robust Statistics, Theory and Methods" by 'Maronna, Martin and Yohai'; Wiley 2006.
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Peter Rousseeuw [ctb] (Qn and Sn), Christophe Croux [ctb] (Qn and Sn), Valentin Todorov [aut] (most robust Cov), Andreas Ruckstuhl [aut] (nlrob, anova, glmrob), Matias Salibian-Barrera [aut] (lmrob orig.), Tobias Verbeke [ctb, fnd] (mc, adjbox), Manuel Koller [aut] (mc, lmrob, psi-func.), Eduardo L. T. Conceicao [aut] (MM-, tau-, CM-, and MTL- nlrob), Maria Anna di Palma [ctb] (initial version of Comedian)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package RInno updated to version 1.0.1 with previous version 1.0.0 dated 2018-09-21

Title: An Installation Framework for Shiny Apps
Description: Installs shiny apps packaged as stand-alone Electron apps using Inno Setup, an open source software that builds installers for Windows programs <http://www.jrsoftware.org/ishelp/>.
Author: Jon Hill [aut, cre, cph], W. Lee Pang [aut, cph] (DesktopDeployR project at https://github.com/wleepang/DesktopDeployR), Hanjo Odendaal [ctb], William Bradley [ctb], Brent (Tom) Bailey [ctb], Mikolaj Rybinski [ctb], Chase Clark [ctb], Damien Soukhavong [ctb], Jonathan Godfrey [ctb] (https://github.com/ajrgodfrey), Gábor Csárdi [aut], Hadley Wickham [aut], Winston Chang [aut], Jim Hester [aut], RStudio [cph], Martin Morgan [aut], Dan Tenenbaum [aut], Mango Solutions [cph]
Maintainer: Jon Hill <jon.mark.hill@gmail.com>

Diff between RInno versions 1.0.0 dated 2018-09-21 and 1.0.1 dated 2018-09-21

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More information about RInno at CRAN
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Package HEMDAG updated to version 2.2.5 with previous version 2.2.4 dated 2018-08-18

Title: Hierarchical Ensemble Methods for Directed Acyclic Graphs
Description: An implementation of Hierarchical Ensemble Methods for Directed Acyclic Graphs (DAGs). The 'HEMDAG' package can be used to enhance the predictions of virtually any flat learning methods, by taking into account the hierarchical nature of the classes of a bio-ontology. 'HEMDAG' is specifically designed for exploiting the hierarchical relationships of DAG-structured taxonomies, such as the Human Phenotype Ontology (HPO) or the Gene Ontology (GO), but it can be also safely applied to tree-structured taxonomies (as FunCat), since trees are DAGs. 'HEMDAG' scale nicely both in terms of the complexity of the taxonomy and in the cardinality of the examples. (Marco Notaro, Max Schubach, Peter N. Robinson and Giorgio Valentini (2017) <doi:10.1186/s12859-017-1854-y>).
Author: Marco Notaro [aut, cre] (<https://orcid.org/0000-0003-4309-2200>), Alessandro Petrini [ctb] (<https://orcid.org/0000-0002-0587-1484>), Giorgio Valentini [aut] (<https://orcid.org/0000-0002-5694-3919>)
Maintainer: Marco Notaro <marco.notaro@unimi.it>

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Package multiplex updated to version 2.9 with previous version 2.8 dated 2017-12-16

Title: Algebraic Tools for the Analysis of Multiple Social Networks
Description: Algebraic procedures for the analysis of multiple social networks are delivered with this package. Among other things, it makes possible to create and manipulate multivariate network data with different formats, and there are effective ways available to treat multiple networks with routines that combine algebraic systems like the partially ordered semigroup or the semiring structure together with the relational bundles occurring in different types of multivariate network data sets. It also provides an algebraic approach for two-mode networks through Galois derivations between families of the pairs of subsets in the two domains.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

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Package anomaly updated to version 1.1.0 with previous version 1.0.0 dated 2018-06-30

Title: Detecting Anomalies in Data
Description: An implementation of CAPA (Collective And Point Anomaly) for the detection of anomalies in time series data. The package also contains Kepler lightcurve data and shows how CAPA can be applied to detect exoplanets.
Author: Alex Fisch [aut], Daniel Grose [ctb, cre], Idris Eckley [ths], Paul Fearnhead [ths]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

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Package rsdmx updated to version 0.5-13 with previous version 0.5-12 dated 2018-06-28

Title: Tools for Reading SDMX Data and Metadata
Description: Set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework, currently focusing on the SDMX XML standard format (SDMX-ML).
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>), Matthieu Stigler [ctb], Eric Persson [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package RInno updated to version 1.0.0 with previous version 0.2.1 dated 2018-06-11

Title: An Installation Framework for Shiny Apps
Description: Installs shiny apps packaged as stand-alone Electron apps using Inno Setup, an open source software that builds installers for Windows programs <http://www.jrsoftware.org/ishelp/>.
Author: Jon Hill [aut, cre, cph], W. Lee Pang [aut, cph] (DesktopDeployR project at https://github.com/wleepang/DesktopDeployR), Hanjo Odendaal [ctb], William Bradley [ctb], Brent (Tom) Bailey [ctb], Mikolaj Rybinski [ctb], Chase Clark [ctb], Damien Soukhavong [ctb], Jonathan Godfrey [ctb] (https://github.com/ajrgodfrey), Gábor Csárdi [aut], Hadley Wickham [aut], Winston Chang [aut], Jim Hester [aut], RStudio [cph], Martin Morgan [aut], Dan Tenenbaum [aut], Mango Solutions [cph]
Maintainer: Jon Hill <jon.mark.hill@gmail.com>

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Package APtools updated to version 6.8.8 with previous version 5.1 dated 2018-07-16

Title: Average Positive Predictive Values (AP) for Binary Outcomes and Censored Event Times
Description: We provide tools to estimate two prediction accuracy metrics, the average positive predictive values (AP) as well as the well-known AUC (the area under the receiver operator characteristic curve) for risk scores. The outcome of interest is either binary or censored event time. Note that for censored event time, our functions' estimates, the AP and the AUC, are time-dependent for pre-specified time interval(s). A function that compares the APs of two risk scores/markers is also included. Optional outputs include positive predictive values and true positive fractions at the specified marker cut-off values, and a plot of the time-dependent AP versus time (available for event time data).
Author: Hengrui Cai <hengruicai@gmail.com>, Yan Yuan <yyuan@ualberta.ca>, Qian Michelle Zhou <qz70@msstate.edu>, Bingying Li<dorisli1120@gmail.com>
Maintainer: Hengrui Cai <hengruicai@gmail.com>

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 APtools-6.8.8/APtools/man/APBinary.Rd  |    4 
 APtools-6.8.8/APtools/man/APSurv.Rd    |  212 +++++++++++++--------------
 APtools-6.8.8/APtools/man/CompareAP.Rd |  220 +++++++++++++---------------
 APtools-6.8.8/APtools/man/mayo.Rd      |   12 -
 13 files changed, 567 insertions(+), 548 deletions(-)

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