Mon, 16 May 2016

Package dnc updated to version 1.2 with previous version 1.1 dated 2016-05-14

Title: Dynamic Network Clustering
Description: Community detection for dynamic networks, i.e., networks measured repeatedly over a sequence of discrete time points, using a latent space approach.
Author: Daniel K. Sewell
Maintainer: Dan Sewell <daniel-sewell@uiowa.edu>

Diff between dnc versions 1.1 dated 2016-05-14 and 1.2 dated 2016-05-16

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Package robustloggamma updated to version 1.0-2 with previous version 1.0-1 dated 2016-05-12

Title: Robust Estimation of the Generalized log Gamma Model
Description: Robust estimation of the generalized log gamma model is provided using Quantile Tau estimator, Weighted Likelihood estimator and Truncated Maximum Likelihood estimator. Functions for regression and censored data are also available.
Author: Claudio Agostinelli <claudio.agostinelli@unitn.it>, Alfio Marazzi <Alfio.Marazzi@chuv.ch>, Victor Yohai <vyohai@uolsinectis.com.ar> and Alex Randriamiharisoa <Alex.Randriamiharisoa@chuv.ch>
Maintainer: Claudio Agostinelli <claudio.agostinelli@unitn.it>

Diff between robustloggamma versions 1.0-1 dated 2016-05-12 and 1.0-2 dated 2016-05-16

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Package randomForestSRC updated to version 2.2.0 with previous version 2.1.0 dated 2016-03-17

Title: Random Forests for Survival, Regression and Classification (RF-SRC)
Description: A unified treatment of Breiman's random forests for survival, regression and classification problems based on Ishwaran and Kogalur's random survival forests (RSF) package. The package runs in both serial and parallel (OpenMP) modes. Now extended to include multivariate and unsupervised forests.
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package future updated to version 0.14.0 with previous version 0.13.0 dated 2016-04-14

Title: A Future API for R
Description: A Future API for R is provided. In programming, a future is an abstraction for a value that may be available at some point in the future. The state of a future can either be unresolved or resolved. As soon as it is resolved, the value is available. Futures are useful constructs in for instance concurrent evaluation, e.g. parallel processing and distributed processing on compute clusters. The purpose of this package is to provide a lightweight interface for using futures in R. Functions 'future()' and 'value()' exist for creating futures and requesting their values, e.g. 'f <- future({ mandelbrot(c(0.28,0), side=2) })' and 'v <- value(f)'. The 'resolved()' function can be used to check if a future is resolved or not. An infix assignment operator '%<-%' exists for creating futures whose values are accessible by the assigned variables (as promises), e.g. 'v %<-% { mandelbrot(c(0.28,0), side=2) }'. This package implements synchronous "lazy" and "eager" futures, and asynchronous "multicore", "multisession" and ad hoc "cluster" futures. Globals variables and functions are automatically identified and exported. Required packages are attached in external R sessions whenever needed. All types of futures are designed to behave the same such that the exact same code work regardless of futures used or number of cores, background sessions or cluster nodes available. Additional types of futures are provided by other packages enhancing this package.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future versions 0.13.0 dated 2016-04-14 and 0.14.0 dated 2016-05-16

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Package GSODR updated to version 0.1.5 with previous version 0.1.4 dated 2016-05-09

Title: Download, Clean and Generate New Variables from GSOD Data
Description: Download, clean and reformat weather data from USA National Climatic Data Center (NCDC) Global Surface Summary of the Day (GSOD) weather stations, <https://data.noaa.gov/dataset/global-surface-summary-of-the-day-gsod>. The function, get_GSOD(), retrieves data from the GSOD ftp site and reformats it from United States Customary System (USCS) units to metric units, also for convenience elevation is converted from decimetres to metres. Stations are individually checked for number of missing days, as defined by the user, to assure data quality. Stations with too many missing observations are omitted from final file. Also omitted are stations with a latitude of < -90 or > 90 or longitude of < - 180 or > 180. Output is returned as a comma-separated values (CSV) file written to disk in a location selected by the user, which summarises each year by station and includes new variables: actual and saturation vapor pressure and relative humidity calculated from the original GSOD data. The resulting files can be as large as 500mb depending on the user's stringency for missing data and geographic area of interest. Be sure to have sufficient RAM and disk space as well as a reasonably fast internet connection to use this package to perform this operation. However, for much smaller and more manageable data sets, an individual country of interest may be selected as well as only stations falling between -60/60 degrees latitude for agroclimatology work. The resulting files include station data (e.g., station name, country, latitude, longitude, elevation) for use in a geographic information system (GIS). The function was largely based on T. Hengl's 'getGSOD.R' script, available from <http://spatial-analyst.net/book/system/files/getGSOD.R> with enhancements to be more cross-platform, faster and more flexible. Currently flags are maintained for all of the columns except for MIN/MAX. In the original MIN/MAX columns of the GSOD data, "blank indicates max temp was taken from the explicit max temp report and not from the 'hourly' data. * indicates max temp was derived from the hourly data (i.e., highest hourly or synoptic-reported temperature).", GSOD readme.txt <http://www1.ncdc.noaa.gov/pub/data/gsod/readme.txt>. For CSV files resulting from GSODR the flags are stripped.
Author: Adam Sparks [aut, cre], Tomislav Hengl [ctb], Andy Nelson [ctb], Kay Sumfleth [ctb]
Maintainer: Adam Sparks <adamhsparks@gmail.com>

Diff between GSODR versions 0.1.4 dated 2016-05-09 and 0.1.5 dated 2016-05-16

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New package datarobot with initial version 2.2.32
Package: datarobot
Title: DataRobot Predictive Modeling API
Version: 2.2.32
Description: For working with the DataRobot predictive modeling platform's API.
Depends: R (>= 3.1.1), methods (>= 3.2.3)
Imports: httr (>= 1.0), jsonlite (>= 0.9.19), yaml (>= 2.1.13),
License: MIT + file LICENSE
LazyData: true
Author: Ron Pearson [aut], Zachary Meyer [aut], David Chudzicki [aut], Dallin Akagi [aut]
Maintainer: David Chudzicki <api-maintainer@datarobot.com>
Suggests: knitr, MASS, testthat, beanplot, mlbench, car, rmarkdown, insuranceData, doBy, lintr, stubthat
VignetteBuilder: rmarkdown, knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-16 20:31:18 UTC; david
Repository: CRAN
Date/Publication: 2016-05-17 01:06:50

More information about datarobot at CRAN
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Package colorSpec updated to version 0.5-3 with previous version 0.5-2 dated 2016-05-15

Title: Color Calculations with Emphasis on Spectral Data
Description: Calculate with spectral properties of light sources, materials, cameras, eyes, and scanners. Build complex systems from simpler parts using a spectral product algebra. For light sources, compute CCT and CRI. For object colors, compute optimal colors and Logvinenko coordinates. Work with the standard CIE illuminants and color matching functions, and read spectra from text files, including CGATS files. Sample text files, and 4 vignettes are included.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between colorSpec versions 0.5-2 dated 2016-05-15 and 0.5-3 dated 2016-05-16

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Package survMisc updated to version 0.5.2 with previous version 0.5.0 dated 2016-02-24

Title: Miscellaneous Functions for Survival Data
Description: A collection of functions to help in the analysis of right-censored survival data. These extend the methods available in package:survival.
Author: Chris Dardis
Maintainer: Chris Dardis <christopherdardis@gmail.com>

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New package saeRobust with initial version 0.1.0
Package: saeRobust
Title: Robust Small Area Estimation
Version: 0.1.0
Author: Sebastian Warnholz [aut, cre]
Maintainer: Sebastian Warnholz <Sebastian.Warnholz@fu-berlin.de>
Description: Methods to fit robust alternatives to commonly used models used in Small Area Estimation. The methods here used are based on best linear unbiased predictions and linear mixed models. At this time available models include area level models incorporating spatial and temporal correlation in the random effects.
BugReports: https://github.com/wahani/saeRobust/issues
Depends: R (>= 3.3), methods, aoos
Imports: assertthat, ggplot2, Matrix, magrittr, MASS, modules, memoise, Rcpp, spdep
License: MIT + file LICENSE
LazyData: true
Suggests: knitr, rmarkdown, sae, saeSim, testthat
VignetteBuilder: knitr
Encoding: UTF-8
ByteCompile: true
RoxygenNote: 5.0.1
LinkingTo: Rcpp, RcppArmadillo
Collate: 'NAMESPACE.R' 'RcppExports.R' 'bootstrap.R' 'correlation.R' 'fit.R' 'fixedPoint.R' 'helper.R' 'makeXY.R' 'mat.R' 'matModels.R' 'mse.R' 'plot.R' 'print.R' 'psiFunctions.R' 'rfh.R' 'robustEstimationEquations.R' 'robustObjectiveFunctions.R' 'testData.R' 'update.R' 'variance.R'
NeedsCompilation: yes
Packaged: 2016-05-16 15:57:48 UTC; sebastian
Repository: CRAN
Date/Publication: 2016-05-16 19:47:53

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Package pRSR updated to version 3.1.1 with previous version 3.0.2 dated 2014-07-10

Title: Test of Periodicity using Response Surface Regression
Description: Tests periodicity in short time series using response surface regression.
Author: M. S. Islam
Maintainer: M. S. Islam <shahed-sta@sust.edu>

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Package DJL updated to version 2.2 with previous version 2.1 dated 2016-03-24

Title: Distance Measure Based Judgment and Learning
Description: Implements various decision support tools related to the new product development. Subroutines include Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), productivity evaluation using distance measures: DDF (directional distance function), DEA (data envelopment analysis), SBM (slack-based measure), and SF (shortage function), benchmarking, risk analysis, technology adoption model, new product target setting, etc.
Author: Dong-Joon Lim, PhD
Maintainer: Dong-Joon Lim <tgno3.com@gmail.com>

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Package addhaz updated to version 0.4 with previous version 0.3 dated 2016-02-25

Title: Binomial and Multinomial Additive Hazards Models
Description: Functions to fit the binomial and multinomial additive hazards models and to calculate the contribution of diseases/conditions to the disability prevalence, as proposed by Nusselder and Looman (2004) <DOI:10.1353/dem.2004.0017>.
Author: Renata T C Yokota, Caspar W N Looman, Wilma J Nusselder, Herman Van Oyen, Geert Molenberghs
Maintainer: Renata T C Yokota <Renata.Yokota@wiv-isp.be>

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Package abbyyR updated to version 0.4.0 with previous version 0.3 dated 2016-02-04

Title: Access to Abbyy Optical Character Recognition (OCR) API
Description: Get text from images of text using Abbyy Cloud Optical Character Recognition (OCR) API. Easily OCR images, barcodes, forms, documents with machine readable zones, e.g. passports. Get the results in a variety of formats including plain text and XML. To learn more about the Abbyy OCR API, see http:// ocrsdk.com/.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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Package ifaTools updated to version 0.10 with previous version 0.8 dated 2015-10-17

Title: Toolkit for Item Factor Analysis with OpenMx
Description: Tools, tutorials, and demos of Item Factor Analysis using OpenMx.
Author: Joshua N. Pritikin [cre, aut]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>

Diff between ifaTools versions 0.8 dated 2015-10-17 and 0.10 dated 2016-05-16

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Package SimplicialCubature updated to version 1.2 with previous version 1.1 dated 2016-01-05

Title: Integration of Functions Over Simplices
Description: Provides methods to integrate functions over m-dimensional simplices in n-dimensional Euclidean space. There are exact methods for polynomials and adaptive methods for integrating an arbitrary function. Dirichlet probabilities are calculated in certain cases.
Author: John P. Nolan, with parts adapted from Fortran and matlab code by Alan Genz
Maintainer: John P. Nolan <jpnolan@american.edu>

Diff between SimplicialCubature versions 1.1 dated 2016-01-05 and 1.2 dated 2016-05-16

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Package mvmesh updated to version 1.3 with previous version 1.2 dated 2016-01-06

Title: Multivariate Meshes and Histograms in Arbitrary Dimensions
Description: Define, manipulate and plot meshes on simplices, spheres, balls, rectangles and tubes. Directional and other multivariate histograms are provided.
Author: John P. Nolan
Maintainer: John P. Nolan <jpnolan@american.edu>

Diff between mvmesh versions 1.2 dated 2016-01-06 and 1.3 dated 2016-05-16

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Package KoulMde updated to version 2.0.1 with previous version 2.0 dated 2016-05-12

Title: Koul's Minimum Distance Estimation in Linear Regression and Autoregression Model
Description: Consider linear regression model and autoregressive model of order q where errors in the linear regression model and innovations in the autoregression model are independent and symmetrically distributed. Hira L. Koul proposed a nonparametric minimum distance estimation method by minimizing L2-type distance between certain weighted residual empirical distribution functions. He also proposed a simpler version of the loss function by using symmetry of the integrating measure in the distance. This package contains three functions: KoulLrMde(), KoulArMde(), and Koul2StageMde(). KoulLrMde() and KoulArMde() provide minimum distance estimators for linear regression model and autoregression model, respectively, where both are based on Koul's method. These two functions take much less time for the computation than those based on parametric minimum distance estimation methods. Koul2StageMde() provides estimators for regression and autoregressive coefficients of linear regression model with autoregressive errors through minimum distant method of two stages.
Author: Jiwoong Kim [aut, cre]
Maintainer: Jiwoong Kim <kimjiwo2@stt.msu.edu>

Diff between KoulMde versions 2.0 dated 2016-05-12 and 2.0.1 dated 2016-05-16

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New package imageData with initial version 0.1-21
Package: imageData
Version: 0.1-21
Date: 2016-05-16
Title: Aids in Processing and Plotting Data from a Lemna-Tec Scananalyzer
Author: Chris Brien <Chris.Brien@unisa.edu.au>.
Maintainer: Chris Brien <Chris.Brien@unisa.edu.au>
Depends: R (>= 2.10.0)
Imports: dae, ggplot2, stats, XLConnect, Hmisc, GGally, RColorBrewer, reshape, grid
Description: Extracts traits from imaging data produced using a Lemna-Tec Scananalyzer. Growth rates are between successive imagings are obtained and those for a nominated set of intervals can also be calculated. Profile or longitudinal plots of the traits and growth rates can be produced.
License: GPL (>= 2)
URL: http://chris.brien.name
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-16 13:20:38 UTC; briencj
Repository: CRAN
Date/Publication: 2016-05-16 15:43:47

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Package dae updated to version 2.7-16 with previous version 2.7-15 dated 2016-05-14

Title: Functions Useful in the Design and ANOVA of Experiments
Description: The content falls into the following groupings: (i) Data, (ii) Factor manipulation functions, (iii) Design functions, (iv) ANOVA functions, (v) Matrix functions, (vi) Projector and canonical efficiency functions, and (vii) Miscellaneous functions. A document 'daeDesignRandomization.pdf', available in the doc subdirectory of the installation directory for 'dae', describes the use of the package for generating randomized layouts for experiments. The ANOVA functions facilitate the extraction of information when the 'Error' function has been used in the call to 'aov'.
Author: Chris Brien <Chris.Brien@unisa.edu.au>.
Maintainer: Chris Brien <Chris.Brien@unisa.edu.au>

Diff between dae versions 2.7-15 dated 2016-05-14 and 2.7-16 dated 2016-05-16

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Package Surrogate updated to version 0.1-73 with previous version 0.1-72 dated 2016-04-23

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's 7-th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author: Wim Van der Elst, Paul Meyvisch, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>

Diff between Surrogate versions 0.1-72 dated 2016-04-23 and 0.1-73 dated 2016-05-16

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Package rmsfact updated to version 0.0.2 with previous version 0.0.1 dated 2016-05-15

Title: Amazing Random Facts About the World's Greatest Hacker
Description: Display a randomly selected quote about Richard M. Stallman based on the collection in the 'GNU Octave' function 'fact()' which was aggregated by Jordi GutiƩrrez Hermoso based on the (now defunct) site <http://www.stallmanfacts.com>.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between rmsfact versions 0.0.1 dated 2016-05-15 and 0.0.2 dated 2016-05-16

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Package rcdklibs updated to version 1.5.13 with previous version 1.5.8.4 dated 2014-08-31

Title: The CDK Libraries Packaged for R
Description: An R interface to the Chemistry Development Kit, a Java library for chemoinformatics. Given the size of the library itself, this package is not expected to change very frequently. To make use of the CDK within R, it is suggested that you use the rcdk package. Note that it is possible to directly interact with the CDK using rJava. However rcdk exposes functionality in a more idiomatic way. The CDK library itself is released as LGPL and the sources can be obtained from https://github.com/cdk/cdk.
Author: Rajarshi Guha [aut], Zachary Charlop-Powers [cre], CDK Project [ctb, cph] (CDK Java library contained in multiple jar files)
Maintainer: Zachary Charlop-Powers <zach.charlop.powers@gmail.com>

Diff between rcdklibs versions 1.5.8.4 dated 2014-08-31 and 1.5.13 dated 2016-05-16

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Package rcdk updated to version 3.3.5 with previous version 3.3.2 dated 2014-10-13

Title: Interface to the CDK Libraries
Description: Allows the user to access functionality in the CDK, a Java framework for cheminformatics. This allows the user to load molecules, evaluate fingerprints, calculate molecular descriptors and so on. In addition the CDK API allows the user to view structures in 2D.
Author: Rajarshi Guha [aut, cph], Zachary Charlop-Powers [cre]
Maintainer: Zachary Charlop-Powers <zach.charlop.powers@gmail.com>

Diff between rcdk versions 3.3.2 dated 2014-10-13 and 3.3.5 dated 2016-05-16

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Package PhySortR updated to version 1.0.7 with previous version 1.0.6 dated 2016-03-22

Title: A Fast, Flexible Tool for Sorting Phylogenetic Trees
Description: Screens and sorts phylogenetic trees in both traditional and extended Newick format. Allows for the fast and flexible screening (within a tree) of Exclusive clades that comprise only the target taxa and/or Non- Exclusive clades that includes a defined portion of non-target taxa.
Author: Timothy Stephens [aut, cre, trl] (R port), Debashish Bhattacharya [aut], Mark Ragan [aut], Cheong Xin Chan [aut, cph] (Original Perl implementation)
Maintainer: Timothy Stephens <timothy.stephens1@uqconnect.edu.au>

Diff between PhySortR versions 1.0.6 dated 2016-03-22 and 1.0.7 dated 2016-05-16

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Package itcSegment updated to version 0.2 with previous version 0.1 dated 2016-02-29

Title: Individual Tree Crowns Segmentation
Description: Two methods for Individual Tree Crowns (ITCs) delineation on remote sensing data: one is based on LiDAR data in x,y,z format and one on imagery data in raster format.
Author: Michele Dalponte
Maintainer: Michele Dalponte <michele.dalponte@fmach.it>

Diff between itcSegment versions 0.1 dated 2016-02-29 and 0.2 dated 2016-05-16

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New package LncPath with initial version 1.0
Package: LncPath
Type: Package
Title: Identifying the Pathways Regulated by LncRNA Sets of Interest
Version: 1.0
Date: 2016-04-27
Author: Junwei Han, Zeguo Sun
Maintainer: Junwei Han <hanjunwei1981@163.com>
Description: Identifies pathways synergisticly regulated by the interested lncRNA(long non-coding RNA) sets based on a lncRNA-mRNA(messenger RNA) interaction network. 1) The lncRNA-mRNA interaction network was built from the protein-protein interactions and the lncRNA-mRNA co-expression relationships in 28 RNA-Seq data sets. 2) The interested lncRNAs can be mapped into networks as seed nodes and a random walk strategy will be performed to evaluate the rate of each coding genes influenced by the seed lncRNAs. 3) Pathways regulated by the lncRNA set will be evaluated by a weighted Kolmogorov-Smirnov statistic as an ES Score. 4) The p value and false discovery rate value will also be calculated through a permutation analysis. 5) The running score of each pathway can be plotted and the heat map of each pathway can also be plotted if an expression profile is provided. 6) The rank and scores of the gene list of each pathway can be printed.
Imports: stats, graphics, utils, grDevices
Depends: R (>= 3.2.2), igraph, samr
Suggests: Matrix,graph
License: GPL (>= 2)
LazyData: Yes
NeedsCompilation: no
Packaged: 2016-05-16 02:22:47 UTC; sunyao
Repository: CRAN
Date/Publication: 2016-05-16 14:45:44

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Package gutenbergr updated to version 0.1.1 with previous version 0.1 dated 2016-05-03

Title: Download and Process Public Domain Works from Project Gutenberg
Description: Download and process public domain works in the Project Gutenberg collection. Includes metadata for all Project Gutenberg works, so that they can be searched and retrieved.
Author: David Robinson [aut, cre]
Maintainer: David Robinson <admiral.david@gmail.com>

Diff between gutenbergr versions 0.1 dated 2016-05-03 and 0.1.1 dated 2016-05-16

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 gutenbergr-0.1.1/gutenbergr/NEWS.md                        |   12 
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Package GA updated to version 3.0.1 with previous version 3.0 dated 2016-05-10

Title: Genetic Algorithms
Description: An R package for optimisation using genetic algorithms. The package provides a flexible general-purpose set of tools for implementing genetic algorithms search in both the continuous and discrete case, whether constrained or not. Users can easily define their own objective function depending on the problem at hand. Several genetic operators are available and can be combined to explore the best settings for the current task. Furthermore, users can define new genetic operators and easily evaluate their performances. Local search using general-purpose optimisation algorithms can be applied stochastically to exploit interesting regions. GAs can be run sequentially or in parallel, using an explicit master-slave parallelisation or a coarse-grain islands approach.
Author: Luca Scrucca [aut, cre]
Maintainer: Luca Scrucca <luca.scrucca@unipg.it>

Diff between GA versions 3.0 dated 2016-05-10 and 3.0.1 dated 2016-05-16

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 MD5              |   18 +++++++++---------
 NAMESPACE        |    2 +-
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 R/gaIslands.R    |   10 +++++-----
 README.md        |   35 +++++++++++++++++++++++++++++++++--
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New package clusterhap with initial version 0.1
Package: clusterhap
Type: Package
Title: Clustering Genotypes in Haplotypes
Version: 0.1
Date: 2016-05-13
Author: Gaston Quero <gastonquero@gmail.com> and Sebastian Simondi <sebastian.simondi@gmail.com> , with contributions from Victoria Bonnecarrere and Lucia Gutierrez
Maintainer: Gaston Quero <gastonquero@gmail.com>
Description: One haplotype is a combination of SNP (Single Nucleotide Polymorphisms) within the QTL (Quantitative Trait Loci). clusterhap groups together all individuals of a population with the same haplotype. Each group contains individual with the same allele in each SNP, whether or not missing data. Thus, clusterhap groups individuals, that to be imputed, have a non-zero probability of having the same alleles in the entire sequence of SNP's. Moreover, clusterhap calculates such probability from relative frequencies.
Depends: R (>= 2.10)
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Imports: graphics, utils
NeedsCompilation: no
Packaged: 2016-05-15 21:35:40 UTC; GQ
Repository: CRAN
Date/Publication: 2016-05-16 14:37:36

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Package bnlearn updated to version 4.0 with previous version 3.9 dated 2015-11-27

Title: Bayesian Network Structure Learning, Parameter Learning and Inference
Description: Bayesian network structure learning, parameter learning and inference. This package implements constraint-based (GS, IAMB, Inter-IAMB, Fast-IAMB, MMPC, Hiton-PC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing and Tabu Search) and hybrid (MMHC and RSMAX2) structure learning algorithms for discrete, Gaussian and conditional Gaussian networks, along with many score functions and conditional independence tests. The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented. Some utility functions (model comparison and manipulation, random data generation, arc orientation testing, simple and advanced plots) are included, as well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries and cross-validation. Development snapshots with the latest bugfixes are available from www.bnlearn.com.
Author: Marco Scutari
Maintainer: Marco Scutari <marco.scutari@gmail.com>

Diff between bnlearn versions 3.9 dated 2015-11-27 and 4.0 dated 2016-05-16

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 bnlearn-4.0/bnlearn/src/gaussian.loglikelihood.c |    5 
 bnlearn-4.0/bnlearn/src/gaussian.monte.carlo.c   |   54 ++-
 bnlearn-4.0/bnlearn/src/graph.generation.c       |   73 ++--
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 bnlearn-4.0/bnlearn/src/hc.cache.lookup.c        |   30 +
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New package ARCensReg with initial version 1.0
Package: ARCensReg
Type: Package
Title: Fitting Univariate Censored Linear Regression Model with Autoregressive Errors
Version: 1.0
Date: 2016-05-14
Author: Fernanda L. Schumacher, Victor H. Lachos and Christian E. Galarza
Maintainer: Fernanda L. Schumacher <fernandalschumacher@gmail.com>
Imports: mvtnorm, tmvtnorm, msm, numDeriv, utils, graphics, stats
Suggests: SMNCensReg
Description: It fits an univariate left or right censored linear regression model with autoregressive errors under the normal distribution. It provides estimates and standard errors of the parameters, prediction of future observations and it supports missing values on the dependent variable. It also provides convergence plots when exists at least one censored observation.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-05-16 01:56:01 UTC; ra143711
Repository: CRAN
Date/Publication: 2016-05-16 14:37:35

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