Tue, 16 May 2017

New package hommel with initial version 1.0
Package: hommel
Type: Package
Title: Methods for Closed Testing with Simes Inequality, in Particular Hommel's Method
Version: 1.0
Date: 2017-04-25
Author: Jelle Goeman, Rosa Meijer, Thijmen Krebs
Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>
Description: Provides methods for closed testing using Simes local tests. In particular, calculates adjusted p-values for Hommel's multiple testing method, and provides lower confidence bounds for true discovery proportions. A robust but more conservative variant of the closed testing procedure that does not require the assumption of Simes inequality is also implemented.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.9), methods
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-05-16 15:44:06 UTC; jjgoeman
Repository: CRAN
Date/Publication: 2017-05-16 22:01:14 UTC

More information about hommel at CRAN
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Package Tmisc updated to version 0.1.15 with previous version 0.1.14 dated 2017-05-08

Title: Turner Miscellaneous
Description: Miscellaneous utility functions for data manipulation, data tidying, and working with gene expression data.
Author: Stephen Turner [aut, cre]
Maintainer: Stephen Turner <vustephen@gmail.com>

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Package speaq updated to version 2.0.0 with previous version 1.2.3 dated 2017-02-27

Title: Tools for Nuclear Magnetic Resonance (NMR) Spectra Alignment, Peak Based Processing, Quantitative Analysis and Visualizations
Description: The speaq package is meant to make Nuclear Magnetic Resonance spectroscopy (NMR spectroscopy) data analysis as easy as possible by only requiring a small set of functions to perform an entire analysis. speaq offers the possibility of raw spectra alignment and quantitation but also an analysis based on features whereby the spectra are converted to peaks which are then grouped and turned into features. These features can be processed with any number of statistical tools either included in speaq or available elsewhere on CRAN.
Author: Charlie Beirnaert, Trung Nghia Vu, Pieter Meysman, Kris Laukens and Dirk Valkenborg
Maintainer: Charlie Beirnaert <charlie_beirnaert@icloud.com>

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New package sensitivitymult with initial version 1.0.1
Package: sensitivitymult
Type: Package
Title: Sensitivity Analysis for Observational Studies with Multiple Outcomes
Version: 1.0.1
Author: Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum@wharton.upenn.edu>
Description: Sensitivity analysis for multiple outcomes in observational studies. For instance, all linear combinations of several outcomes may be explored using Scheffe projections in the comparison() function; see Rosenbaum (2016, Annals of Applied Statistics) <doi:10.1214/16-AOAS942>. Alternatively, attention may focus on a few principal components in the principal() function. The package includes parallel methods for individual outcomes, including tests in the senm() function and confidence intervals in the senmCI() function.
Imports: stats
License: GPL-2
LazyData: TRUE
NeedsCompilation: no
Packaged: 2017-05-16 21:00:58 UTC; Rosenbaum
Repository: CRAN
Date/Publication: 2017-05-16 21:50:10 UTC

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Package rqPen updated to version 2.0 with previous version 1.5.1 dated 2016-11-04

Title: Penalized Quantile Regression
Description: Performs penalized quantile regression for LASSO, SCAD and MCP functions including group penalties. Provides a function that automatically generates lambdas and evaluates different models with cross validation or BIC, including a large p version of BIC.
Author: Ben Sherwood [aut, cre], Adam Maidman [ctb]
Maintainer: Ben Sherwood <ben.sherwood@ku.edu>

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Package ECOSolveR updated to version 0.3 with previous version 0.2 dated 2015-11-27

Title: Embedded Conic Solver in R
Description: R interface to the Embedded COnic Solver (ECOS), an efficient and robust C library for convex problems. Conic and equality constraints can be specified in addition to integer and boolean variable constraints for mixed-integer problems. This R interface is inspired by the python interface and has similar calling conventions.
Author: Anqi Fu [aut], Balasubramanian Narasimhan [aut, cre]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

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Package dtwSat updated to version 0.2.3 with previous version 0.2.2 dated 2017-03-31

Title: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis
Description: Provides an implementation of the Time-Weighted Dynamic Time Warping (TWDTW) method for land cover mapping using satellite image time series. TWDTW is based on the Dynamic Time Warping technique and has achieved high accuracy for land cover classification using satellite data. The method is based on comparing unclassified satellite image time series with a set of known temporal patterns (e.g. phenological cycles associated with the vegetation). Using 'dtwSat' the user can build temporal patterns for land cover types, apply the TWDTW analysis for satellite datasets, visualize the results of the time series analysis, produce land cover maps, create temporal plots for land cover change, and compute accuracy assessment metrics.
Author: Victor Maus [aut, cre], Marius Appel [ctb], Toni Giorgino [ctb]
Maintainer: Victor Maus <vwmaus1@gmail.com>

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 NEWS.md                                                                         |   10 
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 R/plotClassification.R                                                          |    1 
 R/plotPatterns.R                                                                |    4 
 R/plotTimeSeries.R                                                              |    4 
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 R/zzz.R                                                                         |   12 
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Package doctr (with last version 0.2.0) was removed from CRAN

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

2017-03-07 0.2.0

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Package rticles updated to version 0.4.1 with previous version 0.4 dated 2017-05-15

Title: Article Formats for R Markdown
Description: A suite of custom R Markdown formats and templates for authoring journal articles and conference submissions.
Author: JJ Allaire [aut, cre], R Foundation [aut, cph], Hadley Wickham [aut], Journal of Statistical Software [aut, cph], Yihui Xie [aut], RStudio [cph], Ramnath Vaidyanathan [aut, cph], Association for Computing Machinery [aut, cph], Carl Boettiger [aut, cph], Elsevier [aut, cph], Karl Broman [aut, cph], Kirill Mueller [aut, cph], Bastiaan Quast [aut, cph], Randall Pruim [aut, cph], Ben Marwick [aut, cph], Charlotte Wickham [aut, cph], Oliver Keyes [aut, cph], Miao Yu [aut, cph]
Maintainer: JJ Allaire <jj@rstudio.com>

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Package readr updated to version 1.1.1 with previous version 1.1.0 dated 2017-03-22

Title: Read Rectangular Text Data
Description: The goal of 'readr' is to provide a fast and friendly way to read rectangular data (like 'csv', 'tsv', and 'fwf'). It is designed to flexibly parse many types of data found in the wild, while still cleanly failing when data unexpectedly changes.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], Romain Francois [aut], R Core Team [ctb] (Date time code adapted from R), RStudio [cph, fnd], Jukka Jylänki [ctb, cph] (grisu3 implementation), Mikkel Jørgensen [ctb, cph] (grisu3 implementation)
Maintainer: Jim Hester <james.hester@rstudio.com>

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Package prcr updated to version 0.1.3 with previous version 0.1.2 dated 2017-04-27

Title: Person-Centered Analysis
Description: Provides an easy-to-use yet adaptable set of tools to conduct person-center analysis using a two-step clustering procedure. As described in Bergman and El-Khouri (1999) <DOI:10.1002/(SICI)1521-4036(199910)41:6%3C753::AID-BIMJ753%3E3.0.CO;2-K>, hierarchical clustering is performed to determine the initial partition for the subsequent k-means clustering procedure.
Author: person("Joshua", "M.", "Rosenberg", role = c("aut", "cre"), email = "jmichaelrosenberg@gmail.com")
Maintainer: Joshua Rosenberg <jmichaelrosenberg@gmail.com>

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New package poisbinom with initial version 1.0.0
Package: poisbinom
Type: Package
Title: A Faster Implementation of the Poisson-Binomial Distribution
Version: 1.0.0
Date: 2017-05-16
Author: Santiago Olivella [aut, cre], Yuki Shiraito [aut, cre]
Maintainer: Santiago Olivella <olivella@unc.edu>
Description: Provides the probability, distribution, and quantile functions and random number generator for the Poisson-Binomial distribution. This package relies on FFTW to implement the discrete Fourier transform, so that it is much faster than the existing implementation of the same algorithm in R.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.10)
SystemRequirements: fftw (>= 3)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-05-16 17:47:13 UTC; olivella
Repository: CRAN
Date/Publication: 2017-05-16 19:05:49 UTC

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Package lessR updated to version 3.6.2 with previous version 3.6.0 dated 2017-03-31

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. A confirmatory factor analysis of multiple indicator measurement models is available, as are pedagogical routines for data simulation such as for the Central Limit Theorem. Compatible with 'RStudio' and 'knitr' including generation of R markdown instructions for interpretative output.
Author: David W. Gerbing, School of Business Administration, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

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Package FatTailsR updated to version 1.7-5 with previous version 1.7-0 dated 2016-05-15

Title: Kiener Distributions and Fat Tails in Finance
Description: Kiener distributions K1, K2, K3, K4 and K7 to characterize distributions with left and right, symmetric or asymmetric fat tails in market finance, neuroscience and other disciplines. Two algorithms to estimate with a high accuracy distribution parameters, quantiles, value-at-risk and expected shortfall. Include power hyperbolas and power hyperbolic functions.
Author: Patrice Kiener
Maintainer: Patrice Kiener <fattailsr@inmodelia.com>

Diff between FatTailsR versions 1.7-0 dated 2016-05-15 and 1.7-5 dated 2017-05-16

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Package distcomp updated to version 1.0-1 with previous version 1.0 dated 2017-04-27

Title: Computations over Distributed Data without Aggregation
Description: Implementing algorithms and fitting models when sites (possibly remote) share computation summaries rather than actual data over HTTP with a master R process (using 'opencpu', for example). A stratified Cox model and a singular value decomposition are provided. The former makes direct use of code from the R 'survival' package. (That is, the underlying Cox model code is derived from that in the R 'survival' package.) Sites may provide data via several means: CSV files, Redcap API, etc. An extensible design allows for new methods to be added in the future. Web applications are provided (via 'shiny') for the implemented methods to help in designing and deploying the computations.
Author: Balasubramanian Narasimhan [aut, cre], Marina Bendersky [aut], Sam Gross [aut], Terry M. Therneau [ctb], Thomas Lumley [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

Diff between distcomp versions 1.0 dated 2017-04-27 and 1.0-1 dated 2017-05-16

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Package StatCharrms updated to version 0.90.3 with previous version 0.90.2 dated 2017-05-15

Title: Statistical Analysis of Chemistry, Histopathology, and Reproduction Endpoints Including Repeated Measures and Multi-Generation Studies
Description: A front end for the statistical analyses involved in the tier II endocrine disruptor screening program. The analyses available to this package are: Rao-Scott adjusted Cochran-Armitage test for trend By Slices (RSCABS), a Standard Cochran-Armitage test for trend By Slices (SCABS), mixed effects Cox proportional model, Jonckheere-Terpstra step down trend test Dunn test, one way ANOVA, weighted ANOVA, mixed effects ANOVA, repeated measures ANOVA, and Dunnett test.
Author: Joe Swintek [aut, cre], Kevin Flynn [ctb], Jon Haselman [ctb]
Maintainer: Joe Swintek <swintek.joe@epa.gov>

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New package ExcessMass with initial version 1.0
Package: ExcessMass
Type: Package
Title: Excess Mass Calculation and Plots
Version: 1.0
Date: 2017-05-10
Author: Marc-Daniel Mildenberger
Maintainer: Marc-Daniel Mildenberger <mildenberger.stat@web.de>
Description: Implementation of a function which calculates the empirical excess mass for given \eqn{\lambda} and given maximal number of modes (excessm()). Offering powerful plot features to visualize empirical excess mass (exmplot()). This includes the possibility of drawing several plots (with different maximal number of modes / cut off values) in a single graph.
License: LGPL
Suggests: MASS
Packaged: 2017-05-16 15:06:53 UTC; d91137
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-05-16 15:16:45 UTC

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Package xLLiM updated to version 2.0 with previous version 1.0 dated 2016-12-05

Title: High Dimensional Locally-Linear Mapping
Description: Provides a tool for non linear mapping (non linear regression) using a mixture of regression model and an inverse regression strategy. The methods include the GLLiM model (see Deleforge et al (2015) <DOI:10.1007/s11222-014-9461-5>) based on Gaussian mixtures and a robust version of GLLiM, named SLLiM (see Perthame et al (2016) <https://hal.archives-ouvertes.fr/hal-01347455>) based on a mixture of Generalized Student distributions. The methods also include BLLiM (see Devijver et al (2017) <https://arxiv.org/abs/1701.07899>) which is an extension of GLLiM with a sparse block diagonal structure for large covariance matrices (particularly interesting for transcriptomic data).
Author: Emeline Perthame (emeline.perthame@inria.fr), Florence Forbes (florence.forbes@inria.fr), Antoine Deleforge (antoine.deleforge@inria.fr), Emilie Devijver (emilie.devijver@kuleuven.be), Melina Gallopin (melina.gallopin@u-psud.fr)
Maintainer: Emeline Perthame <emeline.perthame@pasteur.fr>

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Package timekit updated to version 0.3.0 with previous version 0.2.0 dated 2017-04-30

Title: A Collection of Tools for Working with Time Series in R
Description: Get the time series index, signature, and summary from time series objects and time-based tibbles. Create future time series based on properties of existing time series index. Coerce between time-based tibbles ('tbl') and 'xts', 'zoo', and 'ts'.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package RNAseqNet updated to version 0.1.1 with previous version 0.1.0 dated 2017-04-19

Title: Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation
Description: Infer log-linear Poisson Graphical Model with an auxiliary data set. Hot-deck multiple imputation method is used to improve the reliability of the inference with an auxiliary dataset. Standard log-linear Poisson graphical model can also be used for the inference and the Stability Approach for Regularization Selection (StARS) is implemented to drive the selection of the regularization parameter.
Author: Alyssa Imbert [aut], Nathalie Villa-Vialaneix [aut, cre]
Maintainer: Nathalie Villa-Vialaneix <nathalie.villa-vialaneix@inra.fr>

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Package monkeylearn updated to version 0.1.3 with previous version 0.1.1 dated 2016-09-11

Title: Accesses the Monkeylearn API for Text Classifiers and Extractors
Description: Allows using some services of Monkeylearn <http://monkeylearn.com/> which is a Machine Learning platform on the cloud for text analysis (classification and extraction).
Author: Maëlle Salmon [aut, cre], Thomas Leeper [ctb] (Thomas Leeper reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/45), Jeroen Ooms [ctb]
Maintainer: Maëlle Salmon <maelle.salmon@yahoo.se>

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Package geoparser updated to version 0.1.1 with previous version 0.1.0 dated 2016-07-05

Title: Interface to the Geoparser.io API for Identifying and Disambiguating Places Mentioned in Text
Description: A wrapper for the Geoparser.io API version 0.4.0 (see <https://geoparser.io/>), which is a web service that identifies places mentioned in text, disambiguates those places, and returns detailed data about the places found in the text. Basic, limited API access is free with paid plans to accommodate larger workloads.
Author: Maëlle Salmon [aut, cre], Bob Rudis [ctb] (Bob Rudis reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/43)
Maintainer: Maëlle Salmon <maelle.salmon@yahoo.se>

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Package corpus updated to version 0.4.0 with previous version 0.3.1 dated 2017-05-05

Title: Text Corpus Analysis
Description: Text corpus data analysis, with full support for Unicode text. The package provides the ability to seamlessly read and process text from large JSON files without holding all of the data in memory simultaneously.
Author: Patrick O. Perry [aut, cre], Martin Porter and Richard Boulton [ctb, cph] (Snowball), Unicode, Inc. [ctb, cph] (Unicode Character Database)
Maintainer: Patrick O. Perry <pperry@stern.nyu.edu>

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Package epicontacts updated to version 1.0.1 with previous version 1.0.0 dated 2017-04-27

Title: Handling, Visualisation and Analysis of Epidemiological Contacts
Description: A collection of tools for representing epidemiological contact data, composed of case line lists and contacts between cases. Also contains procedures for data handling, interactive graphics, and statistics.
Author: VP Nagraj [aut, cre], Thibaut Jombart [aut], Nistara Randhawa [aut], Bertrand Sudre [aut], Finlay Campbell [aut], Thomas Crellen [aut]
Maintainer: VP Nagraj <vpnagraj@virginia.edu>

Diff between epicontacts versions 1.0.0 dated 2017-04-27 and 1.0.1 dated 2017-05-16

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Package tigger updated to version 0.2.9.999 with previous version 0.2.8 dated 2016-08-28

Title: R Tools for Inferring New Immunoglobulin Alleles from Rep-Seq Data
Description: Infers the V genotype of an individual from immunoglobulin (Ig) repertoire-sequencing (Rep-Seq) data, including detection of any novel alleles. This information is then used to correct existing V allele calls from among the sample sequences.
Author: Daniel Gadala-Maria [aut, cre], Jason Vander Heiden [ctb], Steven Kleinstein [aut, cph]
Maintainer: Daniel Gadala-Maria <daniel.gadala-maria@yale.edu>

Diff between tigger versions 0.2.8 dated 2016-08-28 and 0.2.9.999 dated 2017-05-16

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Package glm.predict updated to version 2.5-0 with previous version 2.4-0 dated 2016-11-17

Title: Predicted Values and Discrete Changes for GLM
Description: Functions to calculate predicted values and the difference between the two cases with confidence interval for glm(), glm.nb(), polr() and multinom().
Author: Benjamin Schlegel [aut,cre]
Maintainer: Benjamin Schlegel <kontakt@benjaminschlegel.ch>

Diff between glm.predict versions 2.4-0 dated 2016-11-17 and 2.5-0 dated 2017-05-16

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More information about glm.predict at CRAN
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Package fmsb updated to version 0.6.1 with previous version 0.6.0 dated 2017-03-20

Title: Functions for Medical Statistics Book with some Demographic Data
Description: Several utility functions for the book entitled "Practices of Medical and Health Data Analysis using R" (Pearson Education Japan, 2007) with Japanese demographic data and some demographic analysis related functions.
Author: Minato Nakazawa <minato-nakazawa@umin.net>
Maintainer: Minato Nakazawa <minato-nakazawa@umin.net>

Diff between fmsb versions 0.6.0 dated 2017-03-20 and 0.6.1 dated 2017-05-16

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Package CluMix updated to version 2.0 with previous version 1.3.1 dated 2016-12-29

Title: Clustering and Visualization of Mixed-Type Data
Description: Provides utilities for clustering subjects and variables of mixed data types. Similarities between subjects are measured by Gower's general similarity coefficient with an extension of Podani for ordinal variables. Similarities between variables are assessed by combination of appropriate measures of association for different pairs of data types. Alternatively, variables can also be clustered by the 'ClustOfVar' approach. The main feature of the package is the generation of a mixed-data heatmap. For visualizing similarities between either subjects or variables, a heatmap of the corresponding distance matrix can be drawn. Associations between variables can be explored by a 'confounderPlot', which allows visual detection of possible confounding, collinear, or surrogate factors for some variables of primary interest. Distance matrices and dendrograms for subjects and variables can be derived and used for further visualizations and applications. This work was supported by BMBF grant 01ZX1609B, Germany.
Author: M. Hummel, D. Edelmann, A. Kopp-Schneider
Maintainer: Manuela Hummel <m.hummel@dkfz.de>

Diff between CluMix versions 1.3.1 dated 2016-12-29 and 2.0 dated 2017-05-16

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Package ROpenDota updated to version 0.1.1 with previous version 0.1.0 dated 2017-05-04

Title: Access OpenDota Services in R
Description: Provides a client for the API of OpenDota. OpenDota is a web service which is provide DOTA2 real time data. Data is collected through the Steam WebAPI. With ROpenDota you can easily grab the latest DOTA2 statistics in R programming such as latest match on official international competition, analyzing your or enemy performance to learn their strategies,etc. Please see <https://github.com/rosdyana/ROpenDota> for more information.
Author: Rosdyana Kusuma [aut, cre]
Maintainer: Rosdyana Kusuma <rosdyana.kusuma@gmail.com>

Diff between ROpenDota versions 0.1.0 dated 2017-05-04 and 0.1.1 dated 2017-05-16

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Package MultiPhen updated to version 2.0.2 with previous version 2.0.1 dated 2015-07-06

Title: A Package to Test for Pleiotropic Effects
Description: Performs genetic association tests between SNPs (one-at-a-time) and multiple phenotypes (separately or in joint model).
Author: Lachlan Coin, Paul O'Reilly, Yotsawat Pompyen, Clive Hoggart and Federico Calboli
Maintainer: Lachlan Coin <l.coin@imb.uq.edu.au>

Diff between MultiPhen versions 2.0.1 dated 2015-07-06 and 2.0.2 dated 2017-05-16

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 MultiPhen-2.0.2/MultiPhen/MD5                                                                                        |   12 ++++------
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 MultiPhen-2.0.2/MultiPhen/inst/doc/MultiPhen.pdf                                                                     |binary
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New package genoPlotR with initial version 0.8.6
Package: genoPlotR
Type: Package
Title: Plot Publication-Grade Gene and Genome Maps
Version: 0.8.6
Date: 2015-07-02
Author: Lionel Guy <lionel.guy@imbim.uu.se>
URL: http://genoplotr.r-forge.r-project.org/
Depends: R (>= 2.10.0), ade4, grid
Imports: methods
Maintainer: Lionel Guy <lionel.guy@imbim.uu.se>
Description: Draws gene or genome maps and comparisons between these, in a publication-grade manner. Starting from simple, common files, it will draw postscript or PDF files that can be sent as such to journals.
License: GPL (>= 2)
LazyLoad: yes
Repository: CRAN
Repository/R-Forge/Project: genoplotr
Repository/R-Forge/Revision: 60
Repository/R-Forge/DateTimeStamp: 2017-05-15 14:43:14
Date/Publication: 2017-05-16 08:56:55 UTC
NeedsCompilation: no
Packaged: 2017-05-15 15:05:36 UTC; rforge

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Package rLTP updated to version 0.1.3 with previous version 0.1.2 dated 2015-07-05

Title: R Interface to the 'LTP'-Cloud Service
Description: R interface to the 'LTP'-Cloud service for Natural Language Processing in Chinese (http://www.ltp-cloud.com/).
Author: Tong He [aut, cre], Oliver Keyes [ctb]
Maintainer: Tong He <hetong007@gmail.com>

Diff between rLTP versions 0.1.2 dated 2015-07-05 and 0.1.3 dated 2017-05-16

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Package EmpiricalCalibration updated to version 1.3.1 with previous version 1.2.0 dated 2016-08-16

Title: Routines for Performing Empirical Calibration of Observational Study Estimates
Description: Routines for performing empirical calibration of observational study estimates. By using a set of negative control hypotheses we can estimate the empirical null distribution of a particular observational study setup. This empirical null distribution can be used to compute a calibrated p-value, which reflects the probability of observing an estimated effect size when the null hypothesis is true taking both random and systematic error into account.
Author: Martijn Schuemie, Marc Suchard
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between EmpiricalCalibration versions 1.2.0 dated 2016-08-16 and 1.3.1 dated 2017-05-16

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Package rif updated to version 0.2.0 with previous version 0.1.0 dated 2017-03-16

Title: Client for 'Neuroscience' Information Framework 'APIs'
Description: Client for 'Neuroscience' Information Framework ('NIF') 'APIs' (<https://neuinfo.org/>; <https://neuinfo.org/about/webservices>). Package includes functions for each 'API' route, and gives back data in tidy data.frame format.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>

Diff between rif versions 0.1.0 dated 2017-03-16 and 0.2.0 dated 2017-05-16

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Permanent link

Package xtractomatic updated to version 3.3.0 with previous version 3.2.0 dated 2017-01-04

Title: Accessing Environmental Data from ERD's ERDDAP Server
Description: Contains three functions that access environmental data from ERD's ERDDAP service <http://coastwatch.pfeg.noaa.gov/erddap>. The xtracto() function extracts data along a trajectory for a given "radius" around the point. The xtracto_3D() function extracts data in a box. The xtractogon() function extracts data in a polygon. There are also two helper functions to obtain information about available data.
Author: Roy Mendelssohn [aut, cre], Cindy Bessey [ctb], Dave Foley [ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

Diff between xtractomatic versions 3.2.0 dated 2017-01-04 and 3.3.0 dated 2017-05-16

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Package sotkanet updated to version 0.9.48 with previous version 0.9.21 dated 2015-10-03

Title: Sotkanet Open Data Access and Analysis
Description: Access data from the sotkanet open data portal <https://www.sotkanet.fi/sotkanet/fi/index>.
Author: Leo Lahti, Einari Happonen, Juuso Parkkinen, Joona Lehtomaki
Maintainer: Leo Lahti <louhos@googlegroups.com>

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New package PROscorer with initial version 0.0.1
Package: PROscorer
Type: Package
Title: Functions to Score Commonly-Used Patient-Reported Outcome (PRO) Measures and Other Psychometric Instruments
Version: 0.0.1
Authors@R: person("Ray", "Baser", email="ray.stats@gmail.com", role=c("aut", "cre"))
Description: An extensible repository of accurate, up-to-date functions to score commonly used patient-reported outcome (PRO), quality of life (QOL), and other psychometric and psychological measures. 'PROscorer', together with the 'PROscorerTools' package, is a system to facilitate the incorporation of PRO measures into research studies and clinical settings in a scientifically rigorous and reproducible manner. These packages and their vignettes are intended to help establish and promote "best practices" to improve the planning, scoring, and reporting of PRO-like measures in research. The 'PROscorer' "Instrument Descriptions" vignette contains descriptions of each instrument scored by 'PROscorer', complete with references. These instrument descriptions are suitable for inclusion in formal study protocol documents, grant proposals, and manuscript Method sections. Each 'PROscorer' function is composed of helper functions from the 'PROscorerTools' package, and users are encouraged to contribute new functions to 'PROscorer'. More scoring functions are currently in development and will be added in future updates.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: http://github.com/raybaser/PROscorer
BugReports: http://github.com/raybaser/PROscorer/issues
RoxygenNote: 6.0.1
Imports: PROscorerTools
Suggests: knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-16 03:30:50 UTC; rayray2k
Author: Ray Baser [aut, cre]
Maintainer: Ray Baser <ray.stats@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-16 04:37:41 UTC

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New package LocalControl with initial version 1.0.0
Package: LocalControl
Type: Package
Title: Local Control: An R Package for Generating High Quality Comparative Effectiveness Evidence
Version: 1.0.0
Date: 2017-05-13
Author: Nicolas R. Lauve, Stuart J. Nelson, S. Stanley Young, Robert L. Obenchain, Christophe G. Lambert
Maintainer: Christophe G. Lambert <cglambert@unm.edu>
Description: Implements novel nonparametric approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes. While designed and appropriate for use in studies involving medicine and the life sciences, the package can be used in other situations involving outcomes with multiple confounders. The package implements a family of methods for nonparametric bias correction when comparing treatments in cross-sectional, case-control, and survival analysis settings, including competing risks with censoring. The approach extends to bias-corrected personalized predictions of treatment outcome differences, and analysis of heterogeneity of treatment effect-sizes across patient subgroups.
License: Apache License 2.0
SystemRequirements: C++11
LazyData: TRUE
LinkingTo: Rcpp
Imports: Rcpp, gss, cluster, lattice, stats, graphics
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-05-15 20:15:30 UTC; lambert
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2017-05-16 04:42:54 UTC

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Package kdecopula updated to version 0.9.0 with previous version 0.8.1 dated 2017-04-11

Title: Kernel Smoothing for Bivariate Copula Densities
Description: Provides fast implementations of kernel smoothing techniques for bivariate copula densities, in particular density estimation and resampling.
Author: Thomas Nagler [aut, cre], Kuangyu Wen [ctb]
Maintainer: Thomas Nagler <thomas.nagler@tum.de>

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Package assignPOP updated to version 1.1.2 with previous version 1.1.1 dated 2016-12-29

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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