Tue, 13 Mar 2018

Package Rpolyhedra updated to version 0.2.1 with previous version 0.1.0 dated 2017-11-02

Title: Polyhedra Database
Description: A polyhedra database scraped from various sources as R6 objects and 'rgl' visualizing capabilities.
Author: Alejandro Baranek [aut, com, cre, cph], Leonardo Belen [aut, com, cph]
Maintainer: Alejandro Baranek <abaranek@dc.uba.ar>

Diff between Rpolyhedra versions 0.1.0 dated 2017-11-02 and 0.2.1 dated 2018-03-13

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Package Rcpp updated to version 0.12.16 with previous version 0.12.15 dated 2018-01-20

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2017, <doi:10.7287/peerj.preprints.3188v1>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 0.12.15 dated 2018-01-20 and 0.12.16 dated 2018-03-13

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New package genBart with initial version 1.0.1
Package: genBart
Type: Package
Title: Generate 'BART' File
Version: 1.0.1
Authors@R: c( person("Jacob", "Cardenas", email = "jacob.cardenas@bswhealth.org", role = c("aut", "cre")), person("Jacob", "Turner", role = "aut"), person("Derek", "Blankenship", role = "aut") )
Description: A set of functions to generate and format results from statistical analyses of a wide range of high throughput experiments that can then be uploaded into the 'BART' (Bio-Statistical Analysis Reporting Tool) 'shiny' app <https://github.com/jcardenas14/BART>. The app provides users with tools to visualize and efficiently sift through large amounts of data and results.
Depends: R (>= 3.4.0)
Imports: clValid (>= 0.6-6), data.table (>= 1.10.4), fastcluster (>= 1.1.22), ggplot2 (>= 2.2.1), grid (>= 3.3.3), gtools (>= 3.5.0), limma (>= 3.30.13), NMF (>= 0.20.6), pca3d (>= 0.10), psych (>= 1.7.3.21), qusage (>= 2.6.1), RColorBrewer (>= 1.1-2), reshape2 (>= 1.4.2), rmarkdown (>= 1.5), scales (>= 0.4.1), shiny (>= 1.0.3), shinydashboard (>= 0.5.3), shinyjs (>= 0.9), statmod (>= 1.2.2), stats (>= 3.3.3), stringr (>= 1.2.0), tools (>= 3.3.3), VennDiagram (>= 1.6.17)
Suggests: DESeq2 (>= 1.14.1), edgeR (>= 3.16.5), knitr (>= 1.15.1), SummarizedExperiment (>= 1.1.6), testthat
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
RoxygenNote: 6.0.1
biocViews: Microarray, RNASeq, AnnotationData
NeedsCompilation: no
Packaged: 2018-03-13 17:49:14 UTC; e89628
Author: Jacob Cardenas [aut, cre], Jacob Turner [aut], Derek Blankenship [aut]
Maintainer: Jacob Cardenas <jacob.cardenas@bswhealth.org>
Repository: CRAN
Date/Publication: 2018-03-13 22:13:14 UTC

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Package fs updated to version 1.2.0 with previous version 1.1.0 dated 2018-01-26

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut, cre], Hadley Wickham [aut], libuv project contributors [cph] (libuv library), Joyent, Inc. and other Node contributors [cph] (libuv library), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between fs versions 1.1.0 dated 2018-01-26 and 1.2.0 dated 2018-03-13

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Package WVPlots updated to version 0.2.9 with previous version 0.2.8 dated 2018-01-20

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between WVPlots versions 0.2.8 dated 2018-01-20 and 0.2.9 dated 2018-03-13

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Package tstools updated to version 0.3.6 with previous version 0.3.5.1 dated 2018-02-07

Title: A Time Series Toolbox for Official Statistics
Description: Plot official statistics' time series conveniently: automatic legends, highlight windows, stacked bar chars with positive and negative contributions, sum-as-line option, two y-axes with automatic horizontal grids that fit both axes and other popular chart types. 'tstools' comes with a plethora of defaults to let you plot without setting an abundance of parameters first, but gives you the flexibility to tweak the defaults. In addition to charts, 'tstools' provides a super fast, 'data.table' backed time series I/O that allows the user to export / import long format, wide format and transposed wide format data to various file types.
Author: Matthias Bannert [aut, cre], Severin Thoeni [aut]
Maintainer: Matthias Bannert <bannert@kof.ethz.ch>

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Package seplyr updated to version 0.5.5 with previous version 0.5.4 dated 2018-02-22

Title: Improved Standard Evaluation Interfaces for Common Data Manipulation Tasks
Description: The 'seplyr' (standard evaluation plying) package supplies improved standard evaluation adapter methods for important common 'dplyr' data manipulation tasks. In addition the 'seplyr' package supplies several new "key operations bound together" methods. These include 'group_summarize()' (which combines grouping, arranging and calculation in an atomic unit), 'add_group_summaries()' (which joins grouped summaries into a 'data.frame' in a well documented manner), 'add_group_indices()' (which adds per-group identifiers to a 'data.frame' without depending on row-order), 'partition_mutate_qt()' (which optimizes mutate sequences), and 'if_else_device()' (which simulates per-row if-else blocks in expression sequences).
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between seplyr versions 0.5.4 dated 2018-02-22 and 0.5.5 dated 2018-03-13

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Package AnglerCreelSurveySimulation updated to version 1.0.2 with previous version 1.0.0 dated 2018-01-19

Title: Simulate a Bus Route Creel Survey of Anglers
Description: Simulate an angler population, sample the simulated population with a user-specified survey times, and calculate metrics from a bus route-type creel survey.
Author: Steven H. Ranney
Maintainer: Steven H. Ranney <steven.ranney@gmail.com>

Diff between AnglerCreelSurveySimulation versions 1.0.0 dated 2018-01-19 and 1.0.2 dated 2018-03-13

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Package gdm (with last version 1.3.8) was removed from CRAN

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

2018-03-13 1.3.8

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Package SympluR updated to version 0.2.0 with previous version 0.1.0 dated 2018-02-22

Title: Analyze Healthcare Social Media Data from the 'Symplur' API
Description: Analyze data from the 'Healthcare Social Graph' via access to the 'Symplur' API. The 'Healthcare Social Graph' contains billions of healthcare social media data points. Hundreds of published journal articles have leveraged data from the 'Healthcare Social Graph'. About the 'Symplur' API: <https://api.symplur.com/v1/docs/>. About 'Symplur' research: <https://www.symplur.com/healthcare-social-media-research/>. Credit to Professor Larry Chu, MD at Stanford University School of Medicine for the idea of the 'SympluR' package.
Author: Audun Utengen
Maintainer: Audun Utengen <audun@symplur.com>

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Package DisHet updated to version 0.2.2 with previous version 0.2.1 dated 2018-01-10

Title: Estimate the Gene Expression Levels and Component Proportions of the Normal, Stroma (Immune) and Tumor Components of Bulk Tumor Samples
Description: Model cell type heterogeneity of bulk renal cell carcinoma. The observed gene expression in bulk tumor sample is modeled by a log-normal distribution with the location parameter structured as a linear combination of the component-specific gene expressions.
Author: Tao Wang
Maintainer: Tao Wang <tao.wang@utsouthwestern.edu>

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Package evaluator updated to version 0.2.0 with previous version 0.1.1 dated 2017-11-20

Title: Quantified Risk Assessment Toolkit
Description: An open source risk analysis toolkit based on the OpenFAIR taxonomy <https://www2.opengroup.org/ogsys/catalog/C13K> and risk assessment standard <https://www2.opengroup.org/ogsys/catalog/C13G>. Empowers an organization to perform a quantifiable, repeatable, and data-driven risk review.
Author: David Severski [aut, cre]
Maintainer: David Severski <davidski@deadheaven.com>

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Package arsenal updated to version 1.1.0 with previous version 1.0.0 dated 2018-02-02

Title: An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
Description: An Arsenal of 'R' functions for large-scale statistical summaries, which are streamlined to work within the latest reporting tools in 'R' and 'RStudio' and which use formulas and versatile summary statistics for summary tables and models. The primary functions include tableby(), a Table-1-like summary of multiple variable types 'by' the levels of a categorical variable; modelsum(), which performs simple model fits on the same endpoint for many variables (univariate or adjusted for standard covariates); freqlist(), a powerful frequency table across many categorical variables; compare.data.frame(), the S3 method for comparing data.frames; and write2(), a function to output tables to a document.
Author: Ethan Heinzen [aut, cre], Jason Sinnwell [aut], Elizabeth Atkinson [aut], Tina Gunderson [aut], Gregory Dougherty [aut], Patrick Votruba [ctb], Ryan Lennon [ctb], Andrew Hanson [ctb], Krista Goergen [ctb], Emily Lundt [ctb], Brendan Broderick [ctb]
Maintainer: Ethan Heinzen <heinzen.ethan@mayo.edu>

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More information about arsenal at CRAN
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Package envirem updated to version 1.2 with previous version 1.1 dated 2017-02-02

Title: Generation of ENVIREM Variables
Description: Generation of bioclimatic rasters that will be particularly useful for species distribution modeling.
Author: Pascal O. Title, Jordan B. Bemmels
Maintainer: Pascal Title <ptitle@umich.edu>

Diff between envirem versions 1.1 dated 2017-02-02 and 1.2 dated 2018-03-13

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Package Dominance updated to version 1.1.0 with previous version 1.0.17 dated 2016-06-02

Title: A Package to Calculate and Visualize Dominance Hierarchies
Description: Functions to calculate ADI (Average Dominance Index) and FDI (Frequency-Based Dominance Index). Functions to visualize the Data with Social Network Graphs with Dual Directions and Music Notation Graph.
Author: Knut Krueger [aut, cre], Konstanze Krueger [aut]
Maintainer: Knut Krueger <Knut.Krueger@equine-science.de>

Diff between Dominance versions 1.0.17 dated 2016-06-02 and 1.1.0 dated 2018-03-13

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Package stringdist updated to version 0.9.4.7 with previous version 0.9.4.6 dated 2017-07-31

Title: Approximate String Matching and String Distance Functions
Description: Implements an approximate string matching version of R's native 'match' function. Can calculate various string distances based on edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences.
Author: Mark van der Loo [aut, cre], Jan van der Laan [ctb], R Core Team [ctb], Nick Logan [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

Diff between stringdist versions 0.9.4.6 dated 2017-07-31 and 0.9.4.7 dated 2018-03-13

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Package sirt updated to version 2.5-45 with previous version 2.4-20 dated 2018-01-29

Title: Supplementary Item Response Theory Models
Description: Supplementary functions for item response models aiming to complement existing R packages. The functionality includes among others multidimensional compensatory and noncompensatory IRT models (Reckase, 2009, <doi:10.1007/978-0-387-89976-3>), MCMC for hierarchical IRT models and testlet models (Fox, 2010, <doi:10.1007/978-1-4419-0742-4>), NOHARM (Fraser & McDonald, 1982, <doi:10.1207/s15327906mbr2302_9>), Rasch copula model (Braeken, 2011, <doi:10.1007/s11336-010-9190-4>; Schroeders, Robitzsch & Schipolowski, 2014, <doi:10.1111/jedm.12054>), faceted and hierarchical rater models (DeCarlo, Kim & Johnson, 2011, <doi:10.1111/j.1745-3984.2011.00143.x>), ordinal IRT model (ISOP; Scheiblechner, 1995, <doi:10.1007/BF02301417>), DETECT statistic (Stout et al., 1996, <doi:10.1177/014662169602000403>), local structural equation modeling (LSEM; Hildebrandt et al., 2016, <doi:10.1080/00273171.2016.1142856>).
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package sigr updated to version 0.2.4 with previous version 0.2.3 dated 2018-01-28

Title: Succinct and Correct Statistical Summaries for Reports
Description: Succinctly and correctly format statistical summaries of various models and tests (F-test, Chi-Sq-test, Fisher-test, T-test, and rank-significance). The main purpose is unified reporting and planning of experimental results, working around issue such as the difficulty of extracting model summary facts (such as with 'lm'/'glm'). This package also includes empirical tests, such as bootstrap estimates.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between sigr versions 0.2.3 dated 2018-01-28 and 0.2.4 dated 2018-03-13

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New package RM2006 with initial version 0.1.0
Package: RM2006
Type: Package
Title: RiskMetrics 2006 Methodology
Version: 0.1.0
Date: 2018-03-12
Author: Carlos Trucios
Maintainer: Carlos Trucios <ctrucios@gmail.com>
Description: Estimation the conditional covariance matrix using the RiskMetrics 2006 methodology of Zumbach (2007) <doi:10.2139/ssrn.1420185>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-03-12 16:01:51 UTC; ctruciosm
Repository: CRAN
Date/Publication: 2018-03-13 17:28:19 UTC

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Package NlinTS updated to version 1.3.0 with previous version 1.2 dated 2018-03-12

Title: Non Linear Time Series Analysis
Description: Models for time series forecasting and causality detection. The main functionalities of this package consist of a neural network Vector Auto-Regressive model, the classical Granger causality test C.W.J.Granger (1980) <doi:10.1016/0165-1889(80)90069-X>, and a non-linear version of it based on feedforward neural networks.
Author: Youssef Hmamouche [aut, cre], Sylvain Barthelemy [cph]
Maintainer: Youssef Hmamouche <hmamoucheyussef@gmail.com>

Diff between NlinTS versions 1.2 dated 2018-03-12 and 1.3.0 dated 2018-03-13

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Package metansue updated to version 2.1 with previous version 2.0 dated 2017-07-21

Title: Meta-Analysis of Studies with Non Statistically-Significant Unreported Effects
Description: Novel method to unbiasedly include studies with Non Statistically-Significant Unreported Effects (NSUEs) in a meta-analysis <doi:10.1001/jamapsychiatry.2015.2196>. Briefly, the method first calculates the interval where the unreported effects (e.g. t-values) should be according to the threshold of statistical significance used in each study. Afterwards, maximum likelihood techniques are used to impute the expected effect size of each study with NSUEs, accounting for between-study heterogeneity and potential covariates. Multiple imputations of the NSUEs are then randomly created based on the expected value, variance and statistical significance bounds. Finally, a restricted-maximum likelihood random-effects meta-analysis is separately conducted for each set of imputations, and estimations from these meta-analyses are pooled. Please read the reference in 'metansue' for details of the procedure.
Author: Joaquim Radua
Maintainer: Joaquim Radua <jradua@fidmag.com>

Diff between metansue versions 2.0 dated 2017-07-21 and 2.1 dated 2018-03-13

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New package iml with initial version 0.2.1
Package: iml
Type: Package
Title: Interpretable Machine Learning
Version: 0.2.1
Date: 2018-03-04
Authors@R: c(person(given = "Christoph", family = "Molnar", role = c("aut", "cre"), email = "christoph.molnar@gmail.com"))
Maintainer: Christoph Molnar <christoph.molnar@gmail.com>
Description: Interpretability methods to analyze the behavior and predictions of any machine learning model. Implemented methods are: Feature importance described by Fisher et al. (2018) <arXiv:1801.01489>, partial dependence plots described by Friedman (2001) <http://www.jstor.org/stable/2699986>, individual conditional expectation ('ice') plots described by Goldstein et al. (2013) <doi:10.1080/10618600.2014.907095>, local models (variant of 'lime') described by Ribeiro et. al (2016) <arXiv:1602.04938>, the Shapley Value described by Strumbelj et. al (2014) <doi:10.1007/s10115-013-0679-x> and tree surrogate models.
Imports: R6, checkmate, dplyr, tidyr, ggplot2, partykit, glmnet, Metrics, data.table
Suggests: randomForest, gower, testthat, rpart, MASS, caret, e1071, lime, mlr
License: MIT + file LICENSE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-07 13:47:11 UTC; chris
Author: Christoph Molnar [aut, cre]
Repository: CRAN
Date/Publication: 2018-03-13 17:14:38 UTC

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New package gdm with initial version 1.3.8
Package: gdm
Type: Package
Title: Generalized Dissimilarity Modeling
Version: 1.3.8
Date: 2018-03-12
Author: Glenn Manion, Matthew Lisk, Simon Ferrier, Diego Nieto-Lugilde, Karel Mokany, Matthew C. Fitzpatrick
Maintainer: Matthew C. Fitzpatrick <mfitzpatrick@umces.edu>
Description: A toolkit with functions to fit, plot, and summarize Generalized Dissimilarity Models (Ferrier et al. 2007, <doi:10.1111/j.1472-4642.2007.00341.x>).
License: GPL-2
Depends: R (>= 2.15.2), raster, foreach, doParallel, parallel
LinkingTo: Rcpp
Imports: Rcpp (>= 0.10.4), reshape2, vegan
Suggests: R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: yes
Packaged: 2018-03-12 18:45:09 UTC; mlisk
Repository: CRAN
Date/Publication: 2018-03-13 17:02:59 UTC

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New package define with initial version 0.2.7
Package: define
Type: Package
Title: Create FDA-Style Data and Program Definitions
Version: 0.2.7
Author: Tim Bergsma [aut, cre], Scott Pivirotto [ctb]
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Description: Creates a directory of archived files with a descriptive 'PDF' document at the root level (i.e. 'define.pdf') containing tables of definitions of data items and relative-path hyperlinks to the documented files. Converts file extensions to 'txt' per FDA expectations and converts 'CSV' files to 'SAS' Transport format. Relies on data item descriptors stored as per R package 'spec'. See 'package?define'. See also '?define'. Requires a compatible installation of 'pdflatex', e.g. <https://miktex.org/>.
License: GPL-3
LazyData: TRUE
Imports: Hmisc, SASxport, encode, spec, latexpdf
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-13 12:59:14 UTC; tbergsma
Repository: CRAN
Date/Publication: 2018-03-13 17:14:53 UTC

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Package crmPack updated to version 0.2.7 with previous version 0.2.6 dated 2018-02-15

Title: Object-Oriented Implementation of CRM Designs
Description: Implements a wide range of model-based dose escalation designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. The focus is on Bayesian inference, making it very easy to setup a new design with its own JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules.
Author: Daniel Sabanes Bove <sabanesd@roche.com>, Wai Yin Yeung <winnie.yeung@roche.com>, Giuseppe Palermo <giuseppe.palermo@roche.com>, Thomas Jaki <jaki.thomas@gmail.com>
Maintainer: Daniel Sabanes Bove <sabanesd@roche.com>

Diff between crmPack versions 0.2.6 dated 2018-02-15 and 0.2.7 dated 2018-03-13

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New package abnormality with initial version 0.1.0
Package: abnormality
Type: Package
Title: Measure a Subject's Abnormality with Respect to a Reference Population
Version: 0.1.0
Authors@R: person("Michael", "Marks", email = "mmarks13@gmail.com", role = c("aut", "cre"))
Maintainer: Michael Marks <mmarks13@gmail.com>
Description: Contains the functions to implement the methodology and considerations laid out by Marks et al. in the manuscript Measuring Abnormality in High Dimensional Spaces: Applications in Biomechanical Gait Analysis. As of 2/27/2018 this paper has been submitted and is under scientific review. Using high-dimensional datasets to measure a subject’s overall level of abnormality as compared to a reference population is often needed in outcomes research. Utilizing applications in instrumented gait analysis, that article demonstrates how using data that is inherently non-independent to measure overall abnormality may bias results. A methodology is introduced to address this bias to accurately measure overall abnormality in high dimensional spaces. While this methodology is in line with previous literature, it differs in two major ways. Advantageously, it can be applied to datasets in which the number of observations is less than the number of features/variables, and it can be abstracted to practically any number of domains or dimensions. After applying the proposed methodology to the original data, the researcher is left with a set of uncorrelated variables (i.e. principal components) with which overall abnormality can be measured without bias. Different considerations are discussed in that article in deciding the appropriate number of principal components to keep and the aggregate distance measure to utilize.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Imports: MASS (>= 7.3.0), Matrix
NeedsCompilation: no
Packaged: 2018-02-28 18:33:39 UTC; marks
Author: Michael Marks [aut, cre]
Repository: CRAN
Date/Publication: 2018-03-13 17:42:56 UTC

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New package decido with initial version 0.1.0
Package: decido
Version: 0.1.0
Title: Bindings for 'Mapbox' Ear Cutting Triangulation Library
Description: Provides constrained triangulation of polygons. Ear cutting (or ear clipping) applies constrained triangulation by successively 'cutting' triangles from a polygon defined by path/s. Holes are supported by introducing a bridge segment between polygon paths. This package wraps the 'header-only' library 'earcut.hpp' <https://github.com/mapbox/earcut.hpp.git> which includes a reference to the method used by Held, M. (2001) <doi:10.1007/s00453-001-0028-4>.
Authors@R: c( person("Michael", "Sumner", email = "mdsumner@gmail.com", role = c("aut", "cre")), person("Andrew", "Smith", role = "ctb", comment = "provided C++ guidance"), person("Mapbox", role = "cph", comment = "author of header library earcut.hpp"))
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
LinkingTo: Rcpp
Imports: Rcpp, oz
RoxygenNote: 6.0.1
Suggests: covr, testthat, knitr, rmarkdown
SystemRequirements: C++11
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-03-12 07:00:10 UTC; mdsumner
Author: Michael Sumner [aut, cre], Andrew Smith [ctb] (provided C++ guidance), Mapbox [cph] (author of header library earcut.hpp)
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-13 16:22:49 UTC

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Package ZeBook updated to version 1.0 with previous version 0.5 dated 2013-06-17

Title: Working with Dynamic Models for Agriculture and Environment
Description: R package accompanying the book Working with dynamic models for agriculture and environment, by Daniel Wallach (INRA), David Makowski (INRA), James W. Jones (U.of Florida), Francois Brun (ACTA). New version in preparation for April 2018.
Author: Francois Brun (ACTA), David Makowski (INRA), Daniel Wallach (INRA), James W. Jones (U.of Florida).
Maintainer: Francois Brun <francois.brun@acta.asso.fr>

Diff between ZeBook versions 0.5 dated 2013-06-17 and 1.0 dated 2018-03-13

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 ZeBook-1.0/ZeBook/man/AICf.Rd                          |   34 --
 ZeBook-1.0/ZeBook/man/Bean.Rd                          |only
 ZeBook-1.0/ZeBook/man/Sunflower_Phomopsis.Rd           |   39 --
 ZeBook-1.0/ZeBook/man/WheatYieldGreece.Rd              |   13 
 ZeBook-1.0/ZeBook/man/Wheat_GPC.Rd                     |   20 -
 ZeBook-1.0/ZeBook/man/ZeBook-package.Rd                |   81 ++---
 ZeBook-1.0/ZeBook/man/carbonsoil.model.Rd              |   32 --
 ZeBook-1.0/ZeBook/man/carbonsoil.update.Rd             |   30 --
 ZeBook-1.0/ZeBook/man/carcass.EMI.model.Rd             |   87 ++----
 ZeBook-1.0/ZeBook/man/carcass.EMI.model2.Rd            |   17 -
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 ZeBook-1.0/ZeBook/man/carcass.EMI.simule.Rd            |   18 -
 ZeBook-1.0/ZeBook/man/carcass.define.param.Rd          |   13 
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 ZeBook-1.0/ZeBook/man/cotton.model.Rd                  |   45 +--
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 ZeBook-1.0/ZeBook/man/maize_cir.model.Rd               |   35 +-
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 ZeBook-1.0/ZeBook/man/predator.prey.model.Rd           |   35 +-
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 ZeBook-1.0/ZeBook/man/watbal.weather.Rd                |   17 -
 ZeBook-1.0/ZeBook/man/weather_EuropeEU.Rd              |   76 ++---
 ZeBook-1.0/ZeBook/man/weather_FranceWest.Rd            |   51 +--
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 ZeBook-1.0/ZeBook/man/weather_SouthAsia.Rd             |   64 ++--
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 152 files changed, 1227 insertions(+), 1377 deletions(-)

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Package sigQC updated to version 0.1.13 with previous version 0.1.12 dated 2018-02-22

Title: Quality Control Metrics for Gene Signatures
Description: Provides gene signature quality control metrics in publication ready plots. Namely, enables the visualization of properties such as expression, variability, correlation, and comparison of methods of standardisation and scoring metrics.
Author: Andrew Dhawan [aut], Alessandro Barberis [aut], Wei-Chen Cheng [aut], Francesca Buffa [aut, cre]
Maintainer: Francesca Buffa <francesca.buffa@oncology.ox.ac.uk>

Diff between sigQC versions 0.1.12 dated 2018-02-22 and 0.1.13 dated 2018-03-13

 DESCRIPTION               |    8 +--
 MD5                       |   22 ++++-----
 NAMESPACE                 |    1 
 R/make_all_plots.R        |   26 ++++++-----
 R/make_radar_chart_loc.R  |   17 ++++++-
 R/sigsQcNegativeControl.R |  105 ++++++++++++++++++++++++++++++++++++++++++++--
 README.md                 |    4 +
 inst/doc/vignette.R       |    2 
 inst/doc/vignette.Rmd     |   10 ++--
 inst/doc/vignette.html    |   13 +++--
 man/make_all_plots.Rd     |   20 ++++----
 vignettes/vignette.Rmd    |   10 ++--
 12 files changed, 180 insertions(+), 58 deletions(-)

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New package readit with initial version 1.0.0
Package: readit
Title: Effortlessly Read Any Rectangular Data
Description: Providing just one primary function, 'readit' uses a set of reasonable heuristics to apply the appropriate reader function to the given file path. As long as the data file has an extension, and the data is (or can be coerced to be) rectangular, readit() can probably read it.
Version: 1.0.0
Date: 2018-03-01
Authors@R: c(person("Ryan", "Price", email = "ryapric@gmail.com", role = c("aut", "cre")))
License: MIT + file LICENSE
Depends: R (>= 3.4.0)
Imports: crayon (>= 1.3.4), haven (>= 1.1.1), jsonlite (>= 1.5), readr (>= 1.1.1), readxl (>= 1.0.0), tools (>= 3.4.3)
Suggests: devtools (>= 1.13.4), dplyr (>= 0.7.4), knitr (>= 1.19), rmarkdown (>= 1.8), testthat (>= 2.0.0)
URL: https://github.com/ryapric/readit
BugReports: https://github.com/ryapric/readit/issues
RoxygenNote: 6.0.1
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-03-12 00:14:30 UTC; Ryan Price
Author: Ryan Price [aut, cre]
Maintainer: Ryan Price <ryapric@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-13 15:57:40 UTC

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New package jsr223 with initial version 0.3.0
Package: jsr223
Type: Package
Title: A 'Java' Platform Integration for 'R' with Programming Languages 'Groovy', 'JavaScript', 'JRuby' ('Ruby'), 'Jython' ('Python'), and 'Kotlin'
Version: 0.3.0
Date: 2018-03-07
Authors@R: c(person(given="Floid R.", family="Gilbert", role=c("aut","cre"), email="floid.r.gilbert@gmail.com"), person(given="David B.", family="Dahl", role=c("aut"), email="dahl@stat.byu.edu"))
Description: Provides a high-level integration for the 'Java' platform that makes 'Java' objects easy to use from within 'R'; provides a unified interface to integrate 'R' with several programming languages; and features extensive data exchange between 'R' and 'Java'. The 'jsr223'-supported programming languages include 'Groovy', 'JavaScript', 'JRuby' ('Ruby'), 'Jython' ('Python'), and 'Kotlin'. Any of these languages can use and extend 'Java' classes in natural syntax. Furthermore, solutions developed in any of the 'jsr223'-supported languages are also accessible to 'R' developers. The 'jsr223' package also features callbacks, script compiling, and string interpolation. In all, 'jsr223' significantly extends the computing capabilities of the 'R' software environment.
License: GPL (>= 2) | BSD_3_clause + file LICENSE
Imports: jdx (>= 0.1.0), rJava (>= 0.9-8), R6 (>= 2.2.0), utils (>= 3.3.0), curl (>= 3.0.0)
SystemRequirements: Java Runtime Environment (>= 8)
URL: https://github.com/floidgilbert/jsr223
BugReports: https://github.com/floidgilbert/jsr223/issues
Encoding: UTF-8
Suggests: testthat, knitr, rmarkdown, pander
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-10 16:27:03 UTC; Floid
Author: Floid R. Gilbert [aut, cre], David B. Dahl [aut]
Maintainer: Floid R. Gilbert <floid.r.gilbert@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-13 15:07:10 UTC

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New package greybox with initial version 0.2.0
Package: greybox
Type: Package
Title: Toolbox for Model Selection and Combinations for the Forecasting Purposes
Version: 0.2.0
Date: 2018-03-10
Authors@R: person("Ivan", "Svetunkov", email = "ivan@svetunkov.ru", role = c("aut", "cre"), comment="Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK")
URL: https://github.com/config-i1/greybox
BugReports: https://github.com/config-i1/greybox/issues
Description: Implements model selection and combinations via information criteria based on the values of partial correlations. This allows, for example, solving "fat regression" problems, where the number of variables is much larger than the number of observations. This is driven by the research on information criteria, which is well discussed in Burnham & Anderson (2002) <doi:10.1007/b97636>, and currently developed further by Ivan Svetunkov and Yves Sagaert (working paper in progress). Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: forecast, stats, graphics, utils, zoo
Suggests: smooth, numDeriv, testthat, rmarkdown, knitr
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-10 23:19:47 UTC; config
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>
Repository: CRAN
Date/Publication: 2018-03-13 15:13:46 UTC

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New package fcr with initial version 1.0
Package: fcr
Title: Functional Concurrent Regression for Sparse Data
Version: 1.0
Author: Andrew Leroux [aut, cre], Luo Xiao [aut, cre], Ciprian Crainiceanu [aut], William Checkly [aut]
Maintainer: Andrew Leroux <aleroux2@jhu.edu>
Description: Dynamic prediction in functional concurrent regression with an application to child growth. Extends the pffr() function from the 'refund' package to handle the scenario where the functional response and concurrently measured functional predictor are irregularly measured. Leroux et al. (2017), Statistics in Medicine, <doi:10.1002/sim.7582>.
Depends: R (>= 3.2.4), face (>= 0.1), mgcv (>= 1.7), fields (>= 9.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-11 17:38:36 UTC; andrewleroux
Repository: CRAN
Date/Publication: 2018-03-13 15:45:22 UTC

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New package BusinessDuration with initial version 0.1.0
Package: BusinessDuration
Type: Package
Title: Calculates Business Duration Between Two Dates
Version: 0.1.0
Author: Gnaneshwar G
Maintainer: Gnaneshwar G <gnaneshwar441@gmail.com>
Description: Calculates business duration between two dates. This excluding weekends, public holidays and non-business hours.
License: AGPL-3
LazyData: TRUE
Imports: chron
NeedsCompilation: no
Packaged: 2018-03-11 08:35:30 UTC; Gnaneshwar
Repository: CRAN
Date/Publication: 2018-03-13 15:30:42 UTC

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New package baystability with initial version 0.1.0
Package: baystability
Type: Package
Title: Bayesian Stability Analysis of Genotype by Environment Interaction (GEI)
Version: 0.1.0
Authors@R: c( person(c("Muhammad", "Yaseen"), email = "myaseen208@gmail.com", role = c("aut", "cre")) , person(c("Diego", "Jarquin"), email = "diego.jarquin@gmail.com", role = c("aut", "ctb")) , person(c("Sergio", "Perez-Elizalde"), email = "sergiop@colpos.mx", role = c("aut", "ctb")) , person(c("Juan", "Burgueño"), email = "j.crossa@cgiar.org", role = c("aut", "ctb")) , person(c("Jose", "Crossa"), email = "j.crossa@cgiar.org", role = c("aut", "ctb")) )
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Performs general Bayesian estimation method of linear–bilinear models for genotype × environment interaction. The method is explained in Perez-Elizalde, S., Jarquin, D., and Crossa, J. (2011) (<doi:10.1007/s13253-011-0063-9>).
Depends: R (>= 3.1)
Imports: dplyr, ggplot2, ggfortify, lme4, magrittr, MASS, matrixStats, reshape2, rstiefel, rlang, scales, stats, tibble, tidyr, tidyverse
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-11 21:20:57 UTC; yaseen
Author: Muhammad Yaseen [aut, cre], Diego Jarquin [aut, ctb], Sergio Perez-Elizalde [aut, ctb], Juan Burgueño [aut, ctb], Jose Crossa [aut, ctb]
Repository: CRAN
Date/Publication: 2018-03-13 15:55:34 UTC

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New package winRatioAnalysis with initial version 0.1.0
Package: winRatioAnalysis
Type: Package
Title: Estimates the Win-Ratio as a Function of Time
Version: 0.1.0
Author: David A. Schoenfeld
Maintainer: David A. Schoenfeld <dschoenfeld@mgh.harvard.edu>
Description: Fits a model to data separately for each treatment group and then calculates the win-Ratio as a function of follow-up time.
License: GNU Affero General Public License
Encoding: UTF-8
LazyData: true
Depends: survival,nlme,plyr,Matrix,R (>= 2.10)
Imports: pssm,MLEcens,stats,utils,graphics,data.table,JM,mvtnorm
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-09 14:41:47 UTC; das15
Repository: CRAN
Date/Publication: 2018-03-13 14:37:51 UTC

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New package rinform with initial version 1.0.0
Package: rinform
Title: An R Wrapper of the 'Inform' C Library for Information Analysis of Complex Systems
Version: 1.0.0
Authors@R: c( person("Gabriele", "Valentini", email = "gvalent3@asu.edu", role = c("aut", "cre")), person("Douglas G.", "Moore", email = "douglas.g.moore@asu.edu", role = c("ctb")), person("ELIFE", "@ASU", email = "", role = c("cph")))
Description: An R wrapper of the 'Inform' v1.0.0 C library for performing information analysis of complex systems. As for the 'Inform' library, 'rinform' is structured around the concepts of: 1) discrete empirical probability distributions, which form the basis for all of the information-theoretic measures; 2) classic information-theoretic measures built upon empirical distributions; and 3) measures of information dynamics for time series. In addition to the core components, 'rinform' also provides a collection of utilities to manipulate time series.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Copyright: ELIFE@ASU
URL: https://elife-asu.github.io/rinform/
BugReports: https://github.com/ELIFE-ASU/rinform/issues/
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
Imports: methods
Suggests: knitr, rmarkdown, testthat, roxygen2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-03-09 17:42:48 UTC; gabrielevalentini
Author: Gabriele Valentini [aut, cre], Douglas G. Moore [ctb], ELIFE @ASU [cph]
Maintainer: Gabriele Valentini <gvalent3@asu.edu>
Repository: CRAN
Date/Publication: 2018-03-13 14:52:10 UTC

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New package Data2LD with initial version 0.1-1
Package: Data2LD
Version: 0.1-1
Date: 2018-03-06
Title: Functional Data Analysis with Linear Differential Equations
Author: James Ramsay [aut, cre]
Maintainer: James Ramsay <James.Ramsay@mcgill.ca>
Depends: R (>= 2.10.0), fda, splines, Matrix, graphics, R.cache
Suggests: deSolve
Description: Package 'Data2LD' was developed to support functional data analysis using the functions in package 'fda'. The functions in this package are designed for the use of differential equations as modelling objects as described in J. Ramsay G. and Hooker (2017,ISBN 978-1-4939-7188-6) Dynamic Data Analysis, New York: Springer. The package includes data sets and script files for analyzing many of the examples in this book. 'Matlab' versions of the code and sample analyses are available by ftp from <http://www.psych.mcgill.ca/misc/fda/downloads/Data2LD/>. There you find a set of .zip files containing the functions and sample analyses, as well as two .txt files giving instructions for installation and some additional information.
License: GPL (>= 2)
URL: http://www.functionaldata.org
LazyData: true
NeedsCompilation: yes
Packaged: 2018-03-09 15:45:11 UTC; jamesramsay
Repository: CRAN
Date/Publication: 2018-03-13 14:46:47 UTC

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New package bhrcr with initial version 1.0.0
Package: bhrcr
Type: Package
Title: Bayesian Hierarchical Regression on Clearance Rates in the Presence of Lag and Tail Phases
Version: 1.0.0
Date: 2018-03-09
Author: Colin B. Fogarty [cre] <cfogarty@mit.edu>, Saeed Sharifi-Malvajerdi [aut] <saeedsh@wharton.upenn.edu>, Feiyu Zhu [aut] <feiyuzhu@sas.upenn.edu>
Maintainer: Colin B. Fogarty <cfogarty@mit.edu>
Description: An implementation of the Bayesian Clearance Estimator (Fogarty et al. (2015) <doi:10.1111/biom.12307>). It takes serial measurements of a response on an individual (e.g., parasite load after treatment) that is decaying over time and performs Bayesian hierarchical regression of the clearance rates on the given covariates. This package provides tools to calculate WWARN PCE (WorldWide Antimalarial Resistance Network's Parasite Clearance Estimator) estimates of the clearance rates as well.
Depends: R (>= 3.0.0)
Imports: stats, MCMCpack, MASS, msm, mvtnorm, survival, AER, Cairo, graphics, grDevices, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-09 15:17:35 UTC; saeedsh
Repository: CRAN
Date/Publication: 2018-03-13 14:43:00 UTC

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Package Rlabkey updated to version 2.2.1 with previous version 2.2.0 dated 2018-02-08

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <http://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey
Maintainer: Cory Nathe <cnathe@labkey.com>

Diff between Rlabkey versions 2.2.0 dated 2018-02-08 and 2.2.1 dated 2018-03-13

 Rlabkey-2.2.0/Rlabkey/src/JSON_parser.c           |only
 Rlabkey-2.2.0/Rlabkey/src/JSON_parser.h           |only
 Rlabkey-2.2.0/Rlabkey/src/Makevars                |only
 Rlabkey-2.2.0/Rlabkey/src/RJSON_parser.c          |only
 Rlabkey-2.2.0/Rlabkey/src/RJSON_parser.h          |only
 Rlabkey-2.2.1/Rlabkey/DESCRIPTION                 |   16 +--
 Rlabkey-2.2.1/Rlabkey/MD5                         |   61 +++++------
 Rlabkey-2.2.1/Rlabkey/NEWS                        |    3 
 Rlabkey-2.2.1/Rlabkey/R/RcppExports.R             |    2 
 Rlabkey-2.2.1/Rlabkey/R/fromJSON2.R               |    2 
 Rlabkey-2.2.1/Rlabkey/R/ifcookie.R                |    2 
 Rlabkey-2.2.1/Rlabkey/R/labkey.curlOptions.R      |    2 
 Rlabkey-2.2.1/Rlabkey/R/labkey.defaults.R         |  116 ++++++++++++----------
 Rlabkey-2.2.1/Rlabkey/R/labkey.deleteRows.R       |    2 
 Rlabkey-2.2.1/Rlabkey/R/labkey.executeSql.R       |    2 
 Rlabkey-2.2.1/Rlabkey/R/labkey.getFolders.R       |    2 
 Rlabkey-2.2.1/Rlabkey/R/labkey.getQueryInfo.R     |    2 
 Rlabkey-2.2.1/Rlabkey/R/labkey.getQueryLists.R    |    2 
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New package TVsMiss with initial version 0.1.0
Package: TVsMiss
Type: Package
Title: Variable Selection for Missing Data
Version: 0.1.0
Date: 2018-03-01
Author: Jiwei Zhao, Yang Yang, and Ning Yang
Maintainer: Yang Yang <yyang39@buffalo.edu>
Description: Use a regularization likelihood method to achieve variable selection purpose, can be used with penalty lasso, smoothly clipped absolute deviations (SCAD) and minimax concave penalty (MCP). Tuning parameter selection techniques include cross validation (CV), Bayesian information criterion (BIC) (low and high), stability of variable selection (sVS), stability of BIC (sBIC), and stability of estimation (sEST). More details see Zhao, Jiwei, Yang Yang, and Yang Ning (2018) <arXiv:1703.06379> "Penalized pairwise pseudo likelihood for variable selection with nonignorable missing data." Statistica Sinica.
License: GPL (>= 2)
Imports: glmnet, Rcpp
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2018-03-09 14:18:01 UTC; yangyang
Repository: CRAN
Date/Publication: 2018-03-13 11:10:08 UTC

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New package nitrcbot with initial version 1.0
Package: nitrcbot
Title: Download Image Files from the 'NeuroImaging Tools and Resources Collaboratory'
Version: 1.0
Authors@R: c(person("Adi", "Gherman", email = "adig@jhu.edu", role = c("aut", "cre")), person("John", "Muschelli", email="muschellij2@gmail.com", role = c("aut")))
Maintainer: Adi Gherman <adig@jhu.edu>
Description: Parses and downloads images from various 'NeuroImaging Tools and Resources Collaboratory' <https://www.nitrc.org> sets.
Depends: R (>= 3.4.0), httr, dplyr
BugReports: https://github.com/adigherman/nitrcbot/issues
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://www.nitrc.org
RoxygenNote: 6.0.1
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2018-03-09 15:26:07 UTC; adi
Author: Adi Gherman [aut, cre], John Muschelli [aut]
Repository: CRAN
Date/Publication: 2018-03-13 11:20:04 UTC

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Package netgwas updated to version 0.1.3.2 with previous version 0.1.3.0 dated 2018-02-07

Title: Network-Based Genome Wide Association Studies
Description: A multi-core R package that contains a set of tools based on undirected graphical models for accomplishing three important and interrelated goals in genetics: (1) linkage map construction, (2) reconstructing intra- and inter-chromosomal conditional interactions (linkage disequilibrium) networks, and (3) exploring high-dimensional genotype-phenotype network and genotype-phenotype-environment interactions network. For this purpose, we use conditional (in)dependence relationships between variables. The netgwas package can deal with biparental inbreeding and outbreeding species with any ploidy level, namely diploid (2 sets of chromosomes), triploid (3 sets of chromosomes), tetraploid (4 sets of chromosomes) and so on. We target on high-dimensional data where number of variables p is larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output. The package is implemented the recent developments in Behrouzi and Wit (2017) <arXiv:1710.00894> and Behrouzi and Wit (2017) <arXiv:1710.01063> .
Author: Pariya Behrouzi and Ernst C. Wit
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>

Diff between netgwas versions 0.1.3.0 dated 2018-02-07 and 0.1.3.2 dated 2018-03-13

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New package Modelcharts with initial version 0.1.0
Package: Modelcharts
Type: Package
Title: Classification Model Charts
Version: 0.1.0
Authors@R: c( person("Badri", "N Pattanaik", email = "pattanaik.badri@gmail.com", role = c("aut")), person("Krishna Harsha", "K H", email = "khkrishnaharsha123@gmail.com", role = "cre"))
Imports: dplyr,plotly,stats
Description: Provides two important functions for producing Gain chart and Lift chart for any classification model.
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-09 13:36:30 UTC; 619036
Author: Badri N Pattanaik [aut], Krishna Harsha K H [cre]
Maintainer: Krishna Harsha K H <khkrishnaharsha123@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-13 11:07:18 UTC

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Package BKPC updated to version 1.0.1 with previous version 1.0 dated 2016-02-27

Title: Bayesian Kernel Projection Classifier
Description: Bayesian kernel projection classifier is a nonlinear multicategory classifier which performs the classification of the projections of the data to the principal axes of the feature space. A Gibbs sampler is implemented to find the posterior distributions of the parameters.
Author: K. Domijan
Maintainer: K. Domijan <domijank@tcd.ie>

Diff between BKPC versions 1.0 dated 2016-02-27 and 1.0.1 dated 2018-03-13

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Package nodiv updated to version 1.1.9 with previous version 1.1.8 dated 2017-10-31

Title: Compares the Distribution of Sister Clades Through a Phylogeny
Description: An implementation of the nodiv algorithm, see Borregaard, M.K., Rahbek, C., Fjeldsaa, J., Parra, J.L., Whittaker, R.J. & Graham, C.H. 2014. Node-based analysis of species distributions. Methods in Ecology and Evolution 5(11): 1225-1235. <DOI:10.1111/2041-210X.12283>. Package for phylogenetic analysis of species distributions. The main function goes through each node in the phylogeny, compares the distributions of the two descendant nodes, and compares the result to a null model. This highlights nodes where major distributional divergence have occurred. The distributional divergence for these nodes is mapped using the SOS statistic.
Author: Michael Krabbe Borregaard
Maintainer: Michael Krabbe Borregaard <mkborregaard@snm.ku.dk>

Diff between nodiv versions 1.1.8 dated 2017-10-31 and 1.1.9 dated 2018-03-13

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Package findR updated to version 0.2.1 with previous version 0.2.0 dated 2018-02-16

Title: Find Code Snippets, R Scripts, R Markdown, PDF and Text Files with Pattern Matching
Description: Scans all directories and subdirectories of a path for code snippets, R scripts, R Markdown, PDF or text files containing a specific pattern. Files found can be copied to a new folder.
Author: David Zumbach [aut, cre]
Maintainer: David Zumbach <david.zumbach@gfzb.ch>

Diff between findR versions 0.2.0 dated 2018-02-16 and 0.2.1 dated 2018-03-13

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Package binGroup updated to version 2.1-0 with previous version 1.1-0 dated 2012-08-14

Title: Evaluation and Experimental Design for Binomial Group Testing
Description: Methods for estimation and hypothesis testing of proportions in group testing designs: methods for estimating a proportion in a single population (assuming sensitivity and specificity equal to 1 in designs with equal group sizes), as well as hypothesis tests and functions for experimental design for this situation. For estimating one proportion or the difference of proportions, a number of confidence interval methods are included, which can deal with various different pool sizes. Further, regression methods are implemented for simple pooling and matrix pooling designs. Methods for identification of positive specimens in group testing designs: methods for identification of positive specimens in a number of group testing algorithms. Hierarchical and array-based algorithms are implemented and used to find the optimal testing configuration and calculate operating characteristics for testing configurations across a wide variety of situations.
Author: Boan Zhang [aut], Christopher Bilder [aut], Brad Biggerstaff [aut], Frank Schaarschmidt [aut, cre], Brianna Hitt [aut]
Maintainer: Frank Schaarschmidt <schaarschmidt@biostat.uni-hannover.de>

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Package RankAggreg updated to version 0.6.3 with previous version 0.6.2 dated 2017-08-04

Title: Weighted Rank Aggregation
Description: Performs aggregation of ordered lists based on the ranks using several different algorithms: Cross-Entropy Monte Carlo algorithm, Genetic algorithm, and a brute force algorithm (for small problems).
Author: Vasyl Pihur <vpihur@gmail.com>, Somnath Datta <somnath.datta@louisville.edu>, Susmita Datta <susmita.datta@louisville.edu>
Maintainer: Vasyl Pihur <vpihur@gmail.com>

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Package microplot updated to version 1.0-38 with previous version 1.0-25 dated 2018-01-10

Title: Microplots (Sparklines) in 'LaTeX', 'Word', 'HTML', 'Excel'
Description: The microplot function writes a set of R graphics files to be used as microplots (sparklines) in tables in either 'LaTeX', 'HTML', 'Word', or 'Excel' files. For 'LaTeX', we provide methods for the Hmisc::latex() generic function to construct 'latex' tabular environments which include the graphs. These can be used directly with the operating system 'pdflatex' or 'latex' command, or by using one of 'Sweave', 'knitr', 'rmarkdown', or 'Emacs org-mode' as an intermediary. For 'MS Word', the msWord() function uses the 'ReporteRs' package to construct 'Word' tables which include the graphs. There are several distinct approaches for constructing HTML files. The simplest is to use the msWord() function with argument filetype="html". Alternatively, use either 'Emacs org-mode' or the htmlTable::htmlTable() function to construct an 'HTML' file containing tables which include the graphs. See the documentation for our as.htmlimg() function. For 'Excel' use on 'Windows', the file examples/irisExcel.xls includes 'VBA' code which brings the individual panels into individual cells in the spreadsheet. Examples in the examples and demo subdirectories are shown with 'lattice' graphics, 'ggplot2' graphics, and 'base' graphics. Examples for 'LaTeX' include 'Sweave' (both 'LaTeX'-style and 'Noweb'-style), 'knitr', 'emacs org-mode', and 'rmarkdown' input files and their 'pdf' output files. Examples for 'HTML' include 'org-mode' and 'Rmd' input files and their webarchive 'HTML' output files. In addition, the as.orgtable() function can display a data.frame in an 'org-mode' document. The examples for 'MS Word' (with either filetype="docx" or filetype="html") work with all operating systems. The package does not require the installation of 'LaTeX' or 'MS Word' to be able to write '.tex' or '.docx' files.
Author: Richard M. Heiberger, with contributions from Karen Byron and Nooreen Dabbish.
Maintainer: Richard M. Heiberger <rmh@temple.edu>

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Package cobalt updated to version 3.2.2 with previous version 3.2.1 dated 2018-02-20

Title: Covariate Balance Tables and Plots
Description: Generate balance tables and plots for covariates of groups preprocessed through matching, weighting or subclassification, for example, using propensity scores. Includes integration with 'MatchIt', 'twang', 'Matching', 'optmatch', 'CBPS', 'ebal', and 'WeightIt' for assessing balance on the output of their preprocessing functions. Users can also specify data for balance assessment not generated through the above packages. Also included are methods for assessing balance in clustered or multiply imputed data sets.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package cdata updated to version 0.6.0 with previous version 0.5.2 dated 2018-01-20

Title: Fluid Data Transformations
Description: Supplies higher-order fluid data transform operators that include pivot and anti-pivot as special cases. The methodology is describe in 'Zumel', 2018, "Fluid data reshaping with 'cdata'", <http://winvector.github.io/FluidData/FluidDataReshapingWithCdata.html> , doi:10.5281/zenodo.1173299 . Based on the 'DBI' database interface.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between cdata versions 0.5.2 dated 2018-01-20 and 0.6.0 dated 2018-03-13

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Package bindr updated to version 0.1.1 with previous version 0.1 dated 2016-11-12

Title: Parametrized Active Bindings
Description: Provides a simple interface for creating active bindings where the bound function accepts additional arguments.
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), RStudio [cph, fnd]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between bindr versions 0.1 dated 2016-11-12 and 0.1.1 dated 2018-03-13

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Package AnthropMMD updated to version 2.4.0 with previous version 2.3.3 dated 2017-12-20

Title: An R-Shiny Application for Smith's Mean Measure of Divergence (MMD)
Description: Offers a graphical user interface for the calculation of the mean measure of divergence, with facilities for trait selection and graphical representations.
Author: Frédéric Santos
Maintainer: Frédéric Santos <frederic.santos@u-bordeaux.fr>

Diff between AnthropMMD versions 2.3.3 dated 2017-12-20 and 2.4.0 dated 2018-03-13

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Package scorecard updated to version 0.1.6 with previous version 0.1.5 dated 2018-01-21

Title: Credit Risk Scorecard
Description: Makes the development of credit risk scorecard easily and efficiently by providing functions such as information value, variable filter, optimal woe binning, scorecard scaling and performance evaluation etc. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.
Author: Shichen Xie
Maintainer: Shichen Xie <xie@shichen.name>

Diff between scorecard versions 0.1.5 dated 2018-01-21 and 0.1.6 dated 2018-03-13

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Package assignPOP updated to version 1.1.4 with previous version 1.1.3 dated 2017-06-15

Title: Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework
Description: Use Monte-Carlo and K-fold cross-validation coupled with machine-learning classification algorithms to perform population assignment, with functionalities of evaluating discriminatory power of independent training samples, identifying informative loci, reducing data dimensionality for genomic data, integrating genetic and non-genetic data, and visualizing results.
Author: Kuan-Yu (Alex) Chen [aut, cre], Elizabeth A. Marschall [aut], Michael G. Sovic [aut], Anthony C. Fries [aut], H. Lisle Gibbs [aut], Stuart A. Ludsin [aut]
Maintainer: Kuan-Yu (Alex) Chen <alexkychen@gmail.com>

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