Wed, 11 Apr 2018

Package xROI updated to version 0.1.2 with previous version 0.1.1 dated 2018-03-28

Title: Delinate Region of Interests (ROI's) and Extract Time-Series Data from Digital Repeat Photography Images
Description: Digital repeat photography and near-surface remote sensing have been used by environmental scientists to study the environmental change for nearly a decade. However, a user-friendly, reliable, and robust platform to extract color-based statistics and time-series from a large stack of images is still lacking. Here, we present an interactive open-source toolkit, called 'xROI', that facilitate the process time-series extraction and improve the quality of the final data. 'xROI' provides a responsive environment for scientists to interactively a) delineate regions of interest (ROI), b) handle field of view (FOV) shifts, and c) extract and export time series data characterizing image color (i.e. red, green and blue channel digital numbers for the defined ROI). Using 'xROI', user can detect FOV shifts without minimal difficulty. The software gives user the opportunity to readjust the mask files or redraw new ones every time an FOV shift occurs. 'xROI' helps to significantly improve data accuracy and continuity.
Author: Bijan Seyednasrollah, Thomas Milliman, Andrew D. Richardson
Maintainer: Bijan Seyednasrollah <bijan.s.nasr@gmail.com>

Diff between xROI versions 0.1.1 dated 2018-03-28 and 0.1.2 dated 2018-04-11

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Package minval updated to version 0.8-1 with previous version 0.8 dated 2017-06-05

Title: MINimal VALidation for Stoichiometric Reactions
Description: For a given set of stoichiometric reactions, this package evaluates the mass and charge balance, extracts all reactants, products, orphan metabolites, metabolite names and compartments. Also are included some options to characterize and write models in TSV and SBML formats.
Author: Daniel Osorio [aut, cre], Janneth Gonzalez [aut, ths], Andres Pinzon [aut, ths]
Maintainer: Daniel Osorio <dcosorioh@unal.edu.co>

Diff between minval versions 0.8 dated 2017-06-05 and 0.8-1 dated 2018-04-11

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Package hR updated to version 0.1.3 with previous version 0.1.1 dated 2018-02-14

Title: An HR Analytics Toolkit
Description: Manipulate, analyze, and visualize people data in meaningful ways. This package is meant for practitioners of Human Resources analytics (often referred to as talent analytics or people analytics).
Author: Dale Kube [aut, cre]
Maintainer: Dale Kube <dkube@uwalumni.com>

Diff between hR versions 0.1.1 dated 2018-02-14 and 0.1.3 dated 2018-04-11

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New package bigIntegerAlgos with initial version 0.1.0
Package: bigIntegerAlgos
Type: Package
Title: R Tool for Factoring Big Integers
Version: 0.1.0
Author: Joseph Wood
Maintainer: Joseph Wood <jwood000@gmail.com>
Description: Features the multiple polynomial quadratic sieve algorithm for factoring large integers and a vectorized factoring function that returns the complete factorization of an integer. Utilizes the C library GMP (GNU Multiple Precision Arithmetic) and classes created by Antoine Lucas et al. found in the 'gmp' package.
License: GPL (>= 2)
BuildResaveData: no
Encoding: UTF-8
SystemRequirements: gmp (>= 4.2.3)
Suggests: testthat, numbers (>= 0.6-6), RcppAlgos (>= 1.0.1)
Depends: gmp
NeedsCompilation: yes
URL: https://github.com/jwood000/bigIntegerAlgos, http://mathworld.wolfram.com/QuadraticSieve.html
BugReports: https://github.com/jwood000/bigIntegerAlgos/issues
RoxygenNote: 6.0.1
Packaged: 2018-04-11 20:32:11 UTC; josephwood
Repository: CRAN
Date/Publication: 2018-04-11 21:46:05 UTC

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Package antitrust updated to version 0.99.7 with previous version 0.99.5 dated 2018-03-26

Title: Tools for Antitrust Practitioners
Description: A collection of tools for antitrust practitioners, including the ability to calibrate different consumer demand systems and simulate the effects of mergers under different competitive regimes.
Author: Charles Taragin and Michael Sandfort
Maintainer: Charles Taragin <charles.taragin@usdoj.gov>

Diff between antitrust versions 0.99.5 dated 2018-03-26 and 0.99.7 dated 2018-04-11

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Package castor updated to version 1.3.3 with previous version 1.3.2 dated 2018-01-20

Title: Efficient Phylogenetics on Large Trees
Description: Efficient tree manipulations for large phylogenies, including pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters. Simulating and fitting models of trait evolution, and generating random trees using birth-death models. Dating trees, comparing two trees, and reading/writing trees to a file. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

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Package neurohcp updated to version 0.8.0 with previous version 0.7.3 dated 2018-02-01

Title: Human 'Connectome' Project Interface
Description: Downloads and reads data from Human 'Connectome' Project <https://db.humanconnectome.org> using Amazon Web Services ('AWS') 'S3' buckets.
Author: John Muschelli [aut, cre], Adi Gherman [ctb]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between neurohcp versions 0.7.3 dated 2018-02-01 and 0.8.0 dated 2018-04-11

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Package cgam updated to version 1.10 with previous version 1.9 dated 2018-02-15

Title: Constrained Generalized Additive Model
Description: A constrained generalized additive model is fitted by the cgam routine. Given a set of predictors, each of which may have a shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect routine chooses a subset of predictor variables and describes the component relationships with the response. For each predictor, the user needs only specify a set of possible shape or order restrictions. A model selection method chooses the shapes and orderings of the relationships as well as the variables. The cone information criterion (CIC) is used to select the best combination of variables and shapes. A genetic algorithm may be used when the set of possible models is large. In addition, the cgam routine implements a two-dimensional isotonic regression using warped-plane splines without additivity assumptions. It can also fit a convex or concave regression surface with triangle splines without additivity assumptions. See Mary C. Meyer (2013)<doi:10.1080/10485252.2013.797577> for more details.
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <liaoxiyue2011@gmail.com>

Diff between cgam versions 1.9 dated 2018-02-15 and 1.10 dated 2018-04-11

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Package sgmcmc updated to version 0.2.2 with previous version 0.2.1 dated 2018-02-21

Title: Stochastic Gradient Markov Chain Monte Carlo
Description: Provides functions that performs popular stochastic gradient Markov chain Monte Carlo (SGMCMC) methods on user specified models. The required gradients are automatically calculated using 'TensorFlow' <https://www.tensorflow.org/>, an efficient library for numerical computation. This means only the log likelihood and log prior functions need to be specified. The methods implemented include stochastic gradient Langevin dynamics (SGLD), stochastic gradient Hamiltonian Monte Carlo (SGHMC), stochastic gradient Nose-Hoover thermostat (SGNHT) and their respective control variate versions for increased efficiency. References: M. Welling, Y. W. Teh (2011) <http://www.icml-2011.org/papers/398_icmlpaper.pdf>; T. Chen, E. B. Fox, C. E. Guestrin (2014) <arXiv:1402.4102>; N. Ding, Y. Fang, R. Babbush, C. Chen, R. D. Skeel, H. Neven (2014) <https://papers.nips.cc/paper/5592-bayesian-sampling-using-stochastic-gradient-thermostats>; J. Baker, P. Fearnhead, E. B. Fox, C. Nemeth (2017) <arXiv:1706.05439>.
Author: Jack Baker [aut, cre, cph], Christopher Nemeth [aut, cph], Paul Fearnhead [aut, cph], Emily B. Fox [aut, cph], STOR-i [cph]
Maintainer: Jack Baker <j.baker1@lancaster.ac.uk>

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Package RSurvey updated to version 0.9.3 with previous version 0.9.2 dated 2017-11-23

Title: Geographic Information System Application
Description: A geographic information system (GIS) graphical user interface (GUI) that provides data viewing, management, and analysis tools.
Author: Jason C. Fisher [aut, cre] (<https://orcid.org/0000-0001-9032-8912>)
Maintainer: Jason C. Fisher <jfisher@usgs.gov>

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New package MIRL with initial version 1.0
Package: MIRL
Type: Package
Title: Multiple Imputation Random Lasso for Variable Selection with Missing Entries
Version: 1.0
Author: Ying Liu, Yuanjia Wang, Yang Feng, Melanie M. Wall
Maintainer: Ying Liu <summeryingl@gmail.com>
Description: Implements a variable selection and prediction method for high-dimensional data with missing entries following the paper Liu et al. (2016) <doi:10.1214/15-AOAS899>. It deals with missingness by multiple imputation and produces a selection probability for each variable following stability selection. The user can further choose a threshold for the selection probability to select a final set of variables. The threshold can be picked by cross validation or the user can define a practical threshold for selection probability. If you find this work useful for your application, please cite the method paper.
License: GPL-2
Depends: glmnet,mice,MASS,boot
NeedsCompilation: no
Packaged: 2018-04-11 15:54:39 UTC; summe
Repository: CRAN
Date/Publication: 2018-04-11 16:42:22 UTC

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Package bayesDP updated to version 1.3.1 with previous version 1.3.0 dated 2017-12-07

Title: Tools for the Bayesian Discount Prior Function
Description: Functions for data augmentation using the Bayesian discount prior function for 1 arm and 2 arm clinical trials.
Author: Shawn Balcome [cre], Donnie Musgrove [aut], Tarek Haddad [aut], Christopher Jackson [ctb] (For the ppexp R code that was ported to C++.)
Maintainer: Shawn Balcome <sbalcome@mdic.org>

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Package aws.s3 updated to version 0.3.11 with previous version 0.3.3 dated 2017-06-14

Title: 'AWS S3' Client Package
Description: A simple client package for the Amazon Web Services ('AWS') Simple Storage Service ('S3') 'REST' 'API' <https://aws.amazon.com/s3/>.
Author: Thomas J. Leeper [aut, cre] (<https://orcid.org/0000-0003-4097-6326>), Boettiger Carl [ctb], Andrew Martin [ctb], Mark Thompson [ctb], Tyler Hunt [ctb], Steven Akins [ctb], Bao Nguyen [ctb], Thierry Onkelinx [ctb]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

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Package rscala updated to version 2.5.3 with previous version 2.5.1 dated 2018-02-11

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

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Package PNADcIBGE updated to version 0.4.1.1 with previous version 0.4.1 dated 2018-04-09

Title: Downloading, Reading and Analysing PNADc Microdata
Description: Provides tools for download, read, and analyse the PNADc household survey from Brazilian Institute of Geography and Statistics. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analyses must be made using package 'survey'.
Author: Douglas Braga [aut, cre]
Maintainer: Douglas Braga <douglas.braga@ibge.gov.br>

Diff between PNADcIBGE versions 0.4.1 dated 2018-04-09 and 0.4.1.1 dated 2018-04-11

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Package myTAI updated to version 0.7.0 with previous version 0.6.0 dated 2017-07-03

Title: Evolutionary Transcriptomics
Description: Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes (Drost et al. (2017) <doi:10.1093/bioinformatics/btx835>). The aim of this tool is to provide a transcriptome analysis environment for answering questions regarding the evolution of biological processes (Drost et al. (2016) <doi:10.1101/051565>).
Author: Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>)
Maintainer: Hajk-Georg Drost <hgd23@cam.ac.uk>

Diff between myTAI versions 0.6.0 dated 2017-07-03 and 0.7.0 dated 2018-04-11

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Package forecast updated to version 8.3 with previous version 8.2 dated 2017-09-25

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph] (<https://orcid.org/0000-0002-2140-5352>), George Athanasopoulos [aut], Christoph Bergmeir [aut] (<https://orcid.org/0000-0002-3665-9021>), Gabriel Caceres [aut], Leanne Chhay [aut], Mitchell O'Hara-Wild [aut], Fotios Petropoulos [aut] (<https://orcid.org/0000-0003-3039-4955>), Slava Razbash [aut], Earo Wang [aut], Farah Yasmeen [aut] (<https://orcid.org/0000-0002-1479-5401>), R Core Team [ctb, cph], Ross Ihaka [ctb, cph], Daniel Reid [ctb], David Shaub [ctb], Yuan Tang [ctb] (<https://orcid.org/0000-0001-5243-233X>), Zhenyu Zhou [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between forecast versions 8.2 dated 2017-09-25 and 8.3 dated 2018-04-11

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Package alr3 updated to version 2.0.7 with previous version 2.0.5 dated 2011-10-27

Title: Data to Accompany Applied Linear Regression 3rd Edition
Description: Data files used in the textbook S. Weisberg (2005), 'Applied Linear Regression,' 3rd edition, Wiley are presented. It includes all the data sets discussed in the book (except one), and a few functions that are tailored to the methods discussed in the book. As of version 2.0.0, this package depends on the car package. Many functions formerly in alr3 have been renamed and now reside in car. Data files have been lightly modified to make some data columns row labels.
Author: Sanford Weisberg <sandy@umn.edu>
Maintainer: Sanford Weisberg <sandy@umn.edu>

Diff between alr3 versions 2.0.5 dated 2011-10-27 and 2.0.7 dated 2018-04-11

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Package zetadiv updated to version 1.1.0 with previous version 1.0.1 dated 2017-06-06

Title: Functions to Compute Compositional Turnover Using Zeta Diversity
Description: Functions to compute compositional turnover using zeta-diversity, the number of species shared by multiple assemblages. The package includes functions to compute zeta-diversity for a specific number of assemblages and to compute zeta-diversity for a range of numbers of assemblages. It also includes functions to explain how zeta-diversity varies with distance and with differences in environmental variables between assemblages, using generalised linear models, linear models with negative constraints, generalised additive models,shape constrained additive models, and I-splines.
Author: Guillaume Latombe, Melodie A. McGeoch, David A. Nipperess, Cang Hui
Maintainer: Guillaume Latombe <latombe.guillaume@gmail.com>

Diff between zetadiv versions 1.0.1 dated 2017-06-06 and 1.1.0 dated 2018-04-11

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Package sigQC updated to version 0.1.14 with previous version 0.1.13 dated 2018-03-13

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 0.1.13 dated 2018-03-13 and 0.1.14 dated 2018-04-11

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Package haplo.stats updated to version 1.7.9 with previous version 1.7.7 dated 2016-04-05

Title: Statistical Analysis of Haplotypes with Traits and Covariates when Linkage Phase is Ambiguous
Description: Routines for the analysis of indirectly measured haplotypes. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The main functions are: haplo.em(), haplo.glm(), haplo.score(), and haplo.power(); all of which have detailed examples in the vignette.
Author: Sinnwell JP, Schaid DJ
Maintainer: Jason P. Sinnwell <sinnwell.jason@mayo.edu>

Diff between haplo.stats versions 1.7.7 dated 2016-04-05 and 1.7.9 dated 2018-04-11

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Package GroupSeq updated to version 1.3.5 with previous version 1.3.4 dated 2017-02-03

Title: A GUI-Based Program to Compute Probabilities Regarding Group Sequential Designs
Description: A graphical user interface to compute group sequential designs based on normally distributed test statistics, particularly critical boundaries, power, drift, and confidence intervals of such designs. All computations are based on the alpha spending approach by Lan-DeMets with various alpha spending functions being available to choose among.
Author: Roman Pahl [aut, cre]
Maintainer: Roman Pahl <roman.pahl@gmail.com>

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Package snpReady updated to version 0.9.6 with previous version 0.9.4 dated 2017-10-27

Title: Preparing Genotypic Datasets in Order to Run Genomic Analysis
Description: Three functions to clean, summarize and prepare genomic datasets to Genome Selection and Genome Association analysis and to estimate population genetic parameters.
Author: Italo Granato [aut, cre], Roberto Fritsche-Neto [aut, ths]
Maintainer: Italo Granato <italo.granato@gmail.com>

Diff between snpReady versions 0.9.4 dated 2017-10-27 and 0.9.6 dated 2018-04-11

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Permanent link

Package Polychrome updated to version 1.1.0 with previous version 1.0.0 dated 2017-11-20

Title: Qualitative Palettes with Many Colors
Description: Tools for creating, viewing, and assessing qualitative palettes with many (20-30 or more) colors.
Author: Kevin R. Coombes, Guy Brock
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between Polychrome versions 1.0.0 dated 2017-11-20 and 1.1.0 dated 2018-04-11

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Package Rmpi updated to version 0.6-7 with previous version 0.6-6 dated 2016-06-02

Title: Interface (Wrapper) to MPI (Message-Passing Interface)
Description: An interface (wrapper) to MPI. It also provides interactive R manager and worker environment.
Author: Hao Yu [aut]
Maintainer: Hao Yu <hyu@stats.uwo.ca>

Diff between Rmpi versions 0.6-6 dated 2016-06-02 and 0.6-7 dated 2018-04-11

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Package loo updated to version 2.0.0 with previous version 1.1.0 dated 2017-03-27

Title: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Description: Efficient approximate leave-one-out cross-validation (LOO) for Bayesian models fit using Markov chain Monte Carlo. The approximation uses Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, we also obtain approximate standard errors for estimated predictive errors and for the comparison of predictive errors between models. The package also provides methods for using stacking and other model weighting techniques to average Bayesian predictive distributions.
Author: Aki Vehtari [aut], Andrew Gelman [aut], Jonah Gabry [cre, aut], Yuling Yao [aut], Juho Piironen [ctb], Ben Goodrich [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

Diff between loo versions 1.1.0 dated 2017-03-27 and 2.0.0 dated 2018-04-11

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More information about loo at CRAN
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Package emuR updated to version 1.0.0 with previous version 0.2.3 dated 2017-07-03

Title: Main Package of the EMU Speech Database Management System
Description: Provides the next iteration of the EMU Speech Database Management System (EMU-SDMS) with database management, data extraction, data preparation and data visualization facilities.
Author: Raphael Winkelmann [aut, cre], Klaus Jaensch [aut, ctb], Steve Cassidy [aut, ctb], Jonathan Harrington [aut, ctb]
Maintainer: Raphael Winkelmann <raphael@phonetik.uni-muenchen.de>

Diff between emuR versions 0.2.3 dated 2017-07-03 and 1.0.0 dated 2018-04-11

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Permanent link

New package stellaRbase with initial version 0.1.0
Package: stellaRbase
Type: Package
Title: A 'Stellar' Client
Version: 0.1.0
Author: Oliver Frost
Maintainer: Oliver Frost <oliverfrost@protonmail.com>
Description: An R wrapper for interacting with Horizon. Horizon is a RESTful API that allows applications to query the 'Stellar' payments network and pull or stream data in real time. A full overview of Horizon can be found at <https://www.stellar.org/developers/reference/>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: httr, RJSONIO, methods, data.table, stats
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2018-04-10 18:02:23 UTC; olive
Repository: CRAN
Date/Publication: 2018-04-11 11:23:12 UTC

More information about stellaRbase at CRAN
Permanent link

New package irrNA with initial version 0.1.4
Package: irrNA
Type: Package
Title: Coefficients of Interrater Reliability - Generalized for Randomly Incomplete Datasets
Version: 0.1.4
Date: 2018-04-10
Author: Markus Brueckl [aut, cre], Florian Heuer [aut, trl]
Maintainer: Markus Brueckl <markus.brueckl@tu-berlin.de>
Description: Provides coefficients of interrater reliability, that are generalized to cope with randomly incomplete (i.e. unbalanced) datasets without any imputation of missing values or any (row-wise or column-wise) omissions of actually available data. Applied to complete (balanced) datasets, these generalizations yield the same results as the common procedures, namely the Intraclass Correlation according to McGraw & Wong (1996) <doi:10.1037/1082-989X.1.1.30> and the Coefficient of Concordance according to Kendall & Babington Smith (1939) <doi:10.1214/aoms/1177732186>.
Depends: R (>= 2.10.0)
License: GPL-3
LazyData: true
Imports: irr, stats
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-10 21:49:54 UTC; Lenovo
Repository: CRAN
Date/Publication: 2018-04-11 11:28:15 UTC

More information about irrNA at CRAN
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Package lubridate updated to version 1.7.4 with previous version 1.7.3 dated 2018-02-27

Title: Make Dealing with Dates a Little Easier
Description: Functions to work with date-times and time-spans: fast and user friendly parsing of date-time data, extraction and updating of components of a date-time (years, months, days, hours, minutes, and seconds), algebraic manipulation on date-time and time-span objects. The 'lubridate' package has a consistent and memorable syntax that makes working with dates easy and fun. Parts of the 'CCTZ' source code, released under the Apache 2.0 License, are included in this package. See <https://github.com/google/cctz> for more details.
Author: Vitalie Spinu [aut, cre], Garrett Grolemund [aut], Hadley Wickham [aut], Ian Lyttle [ctb], Imanuel Constigan [ctb], Jason Law [ctb], Doug Mitarotonda [ctb], Joseph Larmarange [ctb], Jonathan Boiser [ctb], Chel Hee Lee [ctb]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>

Diff between lubridate versions 1.7.3 dated 2018-02-27 and 1.7.4 dated 2018-04-11

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Package detzrcr updated to version 0.2.2 with previous version 0.2.1 dated 2018-02-02

Title: Compare Detrital Zircon Suites
Description: Compare detrital zircon suites by uploading univariate, U-Pb age, or bivariate, U-Pb age and Lu-Hf data, in a 'shiny'-based user-interface. Outputs publication quality figures using 'ggplot2', and tables of statistics currently in use in the detrital zircon geochronology community.
Author: Magnus Kristoffersen [aut, cre]
Maintainer: Magnus Kristoffersen <magnus.kristoffersen@geo.uio.no>

Diff between detzrcr versions 0.2.1 dated 2018-02-02 and 0.2.2 dated 2018-04-11

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Package bioimagetools updated to version 1.1.3 with previous version 1.1.0 dated 2017-02-18

Title: Tools for Microscopy Imaging
Description: Tools for 3D imaging, mostly for biology/microscopy. Read and write TIFF stacks. Functions for segmentation, filtering and analysing 3D point patterns.
Author: Volker Schmid [aut, cre], Priyanka Kukreja [ctb], Fabian Scheipl [ctb]
Maintainer: Volker Schmid <stats@volkerschmid.de>

Diff between bioimagetools versions 1.1.0 dated 2017-02-18 and 1.1.3 dated 2018-04-11

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Package nmfem updated to version 1.0.1 with previous version 1.0.0 dated 2017-11-17

Title: NMF-EM Algorithm
Description: Provides a version of the Expectation-Maximization algorithm for mix-models, reducing the numbers of parameters to estimate using Non-negative Matrix Factorization methods. For more explanations, see pre-print of Carel and Alquier (2017) <arXiv:1709.03346>.
Author: Lena Carel [aut, cre]
Maintainer: Lena Carel <lena.carel@gmail.com>

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Package blockmodeling updated to version 0.3.0 with previous version 0.1.9 dated 2017-07-03

Title: Generalized and Classical Blockmodeling of Valued Networks
Description: This is primarily meant as an implementation of Generalized blockmodeling for valued networks. In addition, measures of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted.
Author: Aleš Žiberna [aut, cre]
Maintainer: Aleš Žiberna <ales.ziberna@gmail.com>

Diff between blockmodeling versions 0.1.9 dated 2017-07-03 and 0.3.0 dated 2018-04-11

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New package Thresher with initial version 0.12.3
Package: Thresher
Version: 0.12.3
Date: 2018-04-10
Title: Threshing and Reaping for Principal Components
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>
Description: Defines the classes used to identify outliers (threshing) and compute the number of significant principal components and number of clusters (reaping) in a joint application of PCA and hierarchical clustering. See Wang et al., 2018, <doi:10.1186/s12859-017-1998-9>.
Depends: R (>= 3.1), ClassDiscovery, PCDimension
Imports: methods, stats, graphics, grDevices, MASS, colorspace, movMF, ade4, oompaBase
Suggests: NbClust
License: Apache License (== 2.0)
biocViews: Clustering
URL: http://oompa.r-forge.r-project.org/
NeedsCompilation: no
Packaged: 2018-04-10 15:54:50 UTC; coom05
Repository: CRAN
Date/Publication: 2018-04-11 08:12:13 UTC

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New package splitFeas with initial version 0.1.0
Package: splitFeas
Title: Multi-Set Split Feasibility
Version: 0.1.0
Authors@R: c( person(given=c("Eric","C."), family="Chi", email="ecchi1105@gmail.com", role=c("aut","cre","cph")), person(given="Jason", family="Xu", email="jqxu@ucla.edu", role="ctb"), person(given="Meng", family="Yang", email="myang13@ncsu.edu", role="ctb"), person(given="Kenneth", family="Lange", email="klange@ucla.edu", role="ctb") )
Description: An implementation of the majorization-minimization (MM) algorithm introduced by Xu, Chi, Yang, and Lange (2017) <arXiv:1612.05614> for solving multi-set split feasibility problems. In the multi-set split feasibility problem, we seek to find a point x in the intersection of multiple closed sets and whose image under a mapping also must fall in the intersection of several closed sets.
Depends: compiler, corpcor, matrixStats
License: MIT + file LICENSE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-10 17:18:01 UTC; ecchi
Author: Eric C. Chi [aut, cre, cph], Jason Xu [ctb], Meng Yang [ctb], Kenneth Lange [ctb]
Maintainer: Eric C. Chi <ecchi1105@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-11 08:15:34 UTC

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New package sparsepca with initial version 0.1.2
Package: sparsepca
Type: Package
Title: Sparse Principal Component Analysis (SPCA)
Version: 0.1.2
Author: N. Benjamin Erichson, Peng Zheng, and Sasha Aravkin
Maintainer: N. Benjamin Erichson <erichson@uw.edu>
Description: Sparse principal component analysis (SPCA) attempts to find sparse weight vectors (loadings), i.e., a weight vector with only a few 'active' (nonzero) values. This approach provides better interpretability for the principal components in high-dimensional data settings. This is, because the principal components are formed as a linear combination of only a few of the original variables. This package provides efficient routines to compute SPCA. Specifically, a variable projection solver is used to compute the sparse solution. In addition, a fast randomized accelerated SPCA routine and a robust SPCA routine is provided. Robust SPCA allows to capture grossly corrupted entries in the data. The methods are discussed in detail by N. Benjamin Erichson et al. (2018) <arXiv:1804.00341>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/erichson/spca
BugReports: https://github.com/erichson/spca/issues
Imports: rsvd
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-09 22:02:31 UTC; benli
Repository: CRAN
Date/Publication: 2018-04-11 08:17:42 UTC

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Package personalized updated to version 0.1.5 with previous version 0.1.4 dated 2018-03-08

Title: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine
Description: Provides functions for fitting and validation of subgroup identification and personalized medicine models under the general subgroup identification framework of Chen et al. (2017) <doi:10.1111/biom.12676>. This package is intended for use for both randomized controlled trials and observational studies.
Author: Jared Huling [aut, cre], Aaron Potvien [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

Diff between personalized versions 0.1.4 dated 2018-03-08 and 0.1.5 dated 2018-04-11

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New package neutralitytestr with initial version 0.0.1
Package: neutralitytestr
Title: Test for a Neutral Evolutionary Model in Cancer Sequencing Data
Version: 0.0.1
Authors@R: person("Marc", "Williams", email = "marcjwilliams1@gmail.com", role = c("aut", "cre"))
Description: Package takes frequencies of mutations as reported by high throughput sequencing data from cancer and fits a theoretical neutral model of tumour evolution. Package outputs summary statistics and contains code for plotting the data and model fits. See Williams et al 2016 <doi:10.1038/ng.3489> and Williams et al 2017 <doi:10.1101/096305> for further details of the method.
Depends: R (>= 3.4)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, scales, pracma, ggpmisc, cowplot
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/marcjwilliams1/neutralitytestr
BugReports: https://github.com/marcjwilliams1/neutralitytestr/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-10 15:38:41 UTC; marcwilliams
Author: Marc Williams [aut, cre]
Maintainer: Marc Williams <marcjwilliams1@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-11 08:05:54 UTC

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Package FindIt updated to version 1.1.4 with previous version 1.1.3 dated 2018-01-21

Title: Finding Heterogeneous Treatment Effects
Description: The heterogeneous treatment effect estimation procedure proposed by Imai and Ratkovic (2013)<DOI: 10.1214/12-AOAS593>. The proposed method is applicable, for example, when selecting a small number of most (or least) efficacious treatments from a large number of alternative treatments as well as when identifying subsets of the population who benefit (or are harmed by) a treatment of interest. The method adapts the Support Vector Machine classifier by placing separate LASSO constraints over the pre-treatment parameters and causal heterogeneity parameters of interest. This allows for the qualitative distinction between causal and other parameters, thereby making the variable selection suitable for the exploration of causal heterogeneity. The package also contains a class of functions, CausalANOVA, which estimates the average marginal interaction effects (AMIEs) by a regularized ANOVA as proposed by Egami and Imai (2016+). It contains a variety of regularization techniques to facilitate analysis of large factorial experiments.
Author: Naoki Egami <negami@princeton.edu>, Marc Ratkovic <ratkovic@princeton.edu>, Kosuke Imai <kimai@princeton.edu>,
Maintainer: Naoki Egami <negami@princeton.edu>

Diff between FindIt versions 1.1.3 dated 2018-01-21 and 1.1.4 dated 2018-04-11

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Package bcp updated to version 4.0.1 with previous version 4.0.0 dated 2015-07-15

Title: Bayesian Analysis of Change Point Problems
Description: Provides an implementation of the Barry and Hartigan (1993) product partition model for the normal errors change point problem using Markov Chain Monte Carlo. It also extends the methodology to regression models on a connected graph (Wang and Emerson, 2015); this allows estimation of change point models with multivariate responses. Parallel MCMC, previously available in bcp v.3.0.0, is currently not implemented.
Author: Xiaofei Wang, Chandra Erdman, and John W. Emerson
Maintainer: Xiaofei Wang <xiaofei.wang@yale.edu>

Diff between bcp versions 4.0.0 dated 2015-07-15 and 4.0.1 dated 2018-04-11

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Package rbison updated to version 0.6.0 with previous version 0.5.4 dated 2017-04-10

Title: Interface to the 'USGS' 'BISON' 'API'
Description: Interface to the 'USGS' 'BISON' (<https://bison.usgs.gov/>) 'API', a 'database' for species occurrence data. Data comes from species in the United States from participating data providers. You can get data via 'taxonomic' and location based queries. A simple function is provided to help visualize data.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between rbison versions 0.5.4 dated 2017-04-10 and 0.6.0 dated 2018-04-11

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More information about rbison at CRAN
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Package di updated to version 1.1.4 with previous version 1.1.3 dated 2017-10-26

Title: Deficit Index (DI)
Description: A set of utilities for calculating the Deficit (frailty) Index (DI) in gerontological studies. The deficit index was first proposed by Arnold Mitnitski and Kenneth Rockwood and represents a proxy measure of aging and also can be served as a sensitive predictor of survival. For more information, see (i)"Accumulation of Deficits as a Proxy Measure of Aging" by Arnold B. Mitnitski et al. (2001), The Scientific World Journal 1, <DOI:10.1100/tsw.2001.58>; (ii) "Frailty, fitness and late-life mortality in relation to chronological and biological age" by Arnold B Mitnitski et al. (2001), BMC Geriatrics2002 2(1), <DOI:10.1186/1471-2318-2-1>.
Author: Ilya Y. Zhbannikov [aut, cre]
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>

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More information about di at CRAN
Permanent link


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