Thu, 27 Jul 2017

Package windfarmGA updated to version 1.1.1 with previous version 1.1 dated 2017-07-09

Title: Genetic Algorithm for Wind Farm Layout Optimization
Description: The genetic algorithm is designed to optimize small wind farms consisting of up to 50 turbines. The algorithm works with a fixed amount of turbines, a fixed rotor radius and a mean wind speed value for every incoming wind direction. If required, it can include a terrain effect model which downloads an 'SRTM' elevation model automatically and loads a Corine Land Cover raster, which has to be downloaded previously. Further information can be found in the description of the function 'windfarmGA'. To start an optimization run, either the function 'windfarmGA' or 'genAlgo' can be used. The function 'windfarmGA' checks the user inputs interactively and then runs the function 'genAlgo'. If the input parameters are already known, an optimization can be run directly via the function 'genAlgo'. Their output is identical.
Author: Sebastian Gatscha
Maintainer: Sebastian Gatscha <sebastian_gatscha@gmx.at>

Diff between windfarmGA versions 1.1 dated 2017-07-09 and 1.1.1 dated 2017-07-27

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Package stringdist updated to version 0.9.4.5 with previous version 0.9.4.4 dated 2016-12-16

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

Diff between stringdist versions 0.9.4.4 dated 2016-12-16 and 0.9.4.5 dated 2017-07-27

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Package rsdmx updated to version 0.5-9 with previous version 0.5-8 dated 2017-02-21

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

Diff between rsdmx versions 0.5-8 dated 2017-02-21 and 0.5-9 dated 2017-07-27

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New package optiSolve with initial version 0.1
Package: optiSolve
Type: Package
Title: Linear, Quadratic, and Rational Optimization
Version: 0.1
Date: 2017-07-27
Author: Robin Wellmann
Maintainer: Robin Wellmann <r.wellmann@uni-hohenheim.de>
Depends: R (>= 3.3.2)
Description: Solver for linear, quadratic, and rational programs with linear, quadratic, and rational constraints. A unified interface to different R packages is provided. Optimization problems are transformed into equivalent formulations and solved by the respective package. For example, quadratic programming problems with linear, quadratic and rational constraints can be solved by augmented Lagrangian minimization using package 'alabama', or by sequential quadratic programming using solver 'slsqp'. Alternatively, they can be reformulated as optimization problems with second order cone constraints and solved with package 'cccp', or transformed into semidefinite programming problems and solved using solver 'csdp'.
License: GPL-2
Imports: Matrix, shapes, Rcsdp, alabama, cccp, nloptr, MASS, methods, plyr, stringr, stats, Rcpp (>= 0.12.4)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-27 08:33:15 UTC; Robin
Repository: CRAN
Date/Publication: 2017-07-27 22:22:13 UTC

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Package diagis updated to version 0.1.3 with previous version 0.1.2 dated 2017-05-22

Title: Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling
Description: Fast functions for effective sample size, weighted multivariate mean and variance computation, and weight diagnostic plot for generic importance sampling type results.
Author: Jouni Helske
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between diagis versions 0.1.2 dated 2017-05-22 and 0.1.3 dated 2017-07-27

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Package dad updated to version 3.0.0 with previous version 2.0.0 dated 2016-12-16

Title: Three-Way Data Analysis Through Densities
Description: The three-way data consists of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides tools to manage such data and functional methods (principal component analysis, multidimensional scaling, cluster analysis, discriminant analysis...) for such probability densities.
Author: Rachid Boumaza[aut, cre], Pierre Santagostini [aut], Smail Yousfi [aut], Gilles Hunault [ctb], Julie Bourbeillon [ctb], Besnik Pumo [ctb], Sabine Demotes-Mainard [aut]
Maintainer: Rachid Boumaza <rachid.boumaza@agrocampus-ouest.fr>

Diff between dad versions 2.0.0 dated 2016-12-16 and 3.0.0 dated 2017-07-27

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New package CrossValidate with initial version 2.3.0
Package: CrossValidate
Version: 2.3.0
Date: 2017-07-24
Title: Classes and Methods for Cross Validation of "Class Prediction" Algorithms
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>
Depends: R (>= 3.0), Modeler
Imports: methods, oompaBase (>= 3.0.1)
Suggests: Biobase
Description: Defines classes and methods to cross-validate various binary classification algorithms used for "class prediction" problems.
License: Apache License (== 2.0)
LazyLoad: yes
biocViews: Microarray, Clustering
URL: http://oompa.r-forge.r-project.org
NeedsCompilation: no
Packaged: 2017-07-27 19:40:54 UTC; coom05
Repository: CRAN
Date/Publication: 2017-07-27 22:23:16 UTC

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Package tidyquant updated to version 0.5.2 with previous version 0.5.1 dated 2017-04-24

Title: Tidy Quantitative Financial Analysis
Description: Bringing financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

Diff between tidyquant versions 0.5.1 dated 2017-04-24 and 0.5.2 dated 2017-07-27

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Package textshape updated to version 1.3.0 with previous version 1.0.2 dated 2017-02-22

Title: Tools for Reshaping Text
Description: Tools that can be used to reshape and restructure text data.
Author: Tyler Rinker [aut, cre], Joran Elias [ctb], Matthew Flickinger [ctb]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between textshape versions 1.0.2 dated 2017-02-22 and 1.3.0 dated 2017-07-27

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Package tensorflow updated to version 1.3 with previous version 0.9 dated 2017-06-25

Title: R Interface to 'TensorFlow'
Description: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
Author: JJ Allaire [aut, cre], RStudio [cph, fnd], Yuan Tang [aut, cph], Dirk Eddelbuettel [ctb, cph], Nick Golding [ctb, cph], Google Inc. [ctb, cph] (Examples and Tutorials)
Maintainer: JJ Allaire <jj@rstudio.com>

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Package relsurv updated to version 2.1 with previous version 2.0-9 dated 2016-04-25

Title: Relative Survival
Description: Various functions for relative survival analysis.
Author: Maja Pohar Perme [aut, cre], Klemen Pavlic [ctb]
Maintainer: Maja Pohar Perme <maja.pohar@mf.uni-lj.si>

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Package plotmo updated to version 3.3.4 with previous version 3.3.3 dated 2017-05-05

Title: Plot a Model's Response and Residuals
Description: Plot model surfaces for a wide variety of models using partial dependence plots and other techniques. Also plot model residuals and other information on the model.
Author: Stephen Milborrow
Maintainer: Stephen Milborrow <milbo@sonic.net>

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Package officer updated to version 0.1.5 with previous version 0.1.4 dated 2017-06-06

Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word' and 'Microsoft PowerPoint' documents from R. The package focus on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. When working with 'PowerPoint' presentations, slides can be added or removed; shapes inside slides can also be added or removed. When working with 'Word' documents, a cursor can be used to help insert or delete content at a specific location in the document. The package does not require any installation of Microsoft product to be able to write Microsoft files.
Author: David Gohel [aut, cre]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package FSA updated to version 0.8.14 with previous version 0.8.13 dated 2017-04-29

Title: Simple Fisheries Stock Assessment Methods
Description: A variety of simple fish stock assessment methods. Detailed vignettes are available on the fishR website <http://derekogle.com/fishR/>.
Author: Derek Ogle [aut, cre]
Maintainer: Derek Ogle <derek@derekogle.com>

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Package dHSIC updated to version 2.0 with previous version 1.1 dated 2017-06-01

Title: Independence Testing via Hilbert Schmidt Independence Criterion
Description: Contains an implementation of the d-variable Hilbert Schmidt independence criterion and several hypothesis tests based on it, as described in Pfister et al. (2017) <doi:10.1111/rssb.12235>.
Author: Niklas Pfister and Jonas Peters
Maintainer: Niklas Pfister <pfister@stat.math.ethz.ch>

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Package ChemoSpec updated to version 4.4.85 with previous version 4.4.17 dated 2017-02-13

Title: Exploratory Chemometrics for Spectroscopy
Description: A collection of functions for top-down exploratory data analysis of spectral data obtained via nuclear magnetic resonance (NMR), infrared (IR) or Raman spectroscopy. Includes functions for plotting and inspecting spectra, peak alignment, hierarchical cluster analysis (HCA), principal components analysis (PCA) and model-based clustering. Robust methods appropriate for this type of high-dimensional data are available. ChemoSpec is designed with metabolomics data sets in mind, where the samples fall into groups such as treatment and control. Graphical output is formatted consistently for publication quality plots. ChemoSpec is intended to be very user friendly and help you get usable results quickly. A vignette covering typical operations is available.
Author: Bryan A. Hanson [aut, cre], Mike Bostock [cph, ctb] (author of the d3.js library used in plotSpectraJS, http://d3js.org)
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package rxylib updated to version 0.2.0 with previous version 0.1.1 dated 2017-07-08

Title: Import XY-Data into R
Description: Provides access to the 'xylib' C library for to import xy data from powder diffraction, spectroscopy and other experimental methods.
Author: Sebastian Kreutzer [aut, trl, cre], Johannes Friedrich [aut], RLum Team [ctb], Marcin Wojdyr [cph] (C++ library 'xylib'), Peng Zhang [cph] (C++ library 'xylib')
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@u-bordeaux-montaigne.fr>

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Package fastR updated to version 0.10.3 with previous version 1.1 dated 2016-07-07

Title: Foundations and Applications of Statistics Using R
Description: Data sets and utilities to accompany "Foundations and Applications of Statistics: an Introduction using R" (R Pruim, published by AMS, 2011), a text covering topics from probability and mathematical statistics at an advanced undergraduate level. R is integrated throughout, and access to all the R code in the book is provided via the snippet function.
Author: Randall Pruim
Maintainer: Randall Pruim <rpruim@calvin.edu>

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Package Delta updated to version 0.1.1.11 with previous version 0.1.1.1 dated 2017-06-21

Title: Measure of Agreement Between Two Raters
Description: Measure of agreement Delta was originally by Martín & Femia (2004) <DOI:10.1348/000711004849268>. Since then has been considered as agreement measure for different fields, since their behavior is usually better than the usual Kappa index by Cohen (1960) <DOI:10.1177/001316446002000104>. The main issue with Delta is that can not be computed by hand contrary to Kappa.
Author: Antonio Rodriguez [aut, cre], Pedro Femia [aut, cph], Antonio Martín [aut, cph]
Maintainer: Antonio Rodriguez <tonirodriguezcontesti@gmail.com>

Diff between Delta versions 0.1.1.1 dated 2017-06-21 and 0.1.1.11 dated 2017-07-27

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Package coda.base updated to version 0.1.4 with previous version 0.1.3 dated 2017-07-18

Title: A Basic Set of Functions for Compositional Data Analysis
Description: A minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison in 1982. Main functions have been implemented in c++ for better performance.
Author: Marc Comas-Cufí [aut, cre]
Maintainer: Marc Comas-Cufí <mcomas@imae.udg.edu>

Diff between coda.base versions 0.1.3 dated 2017-07-18 and 0.1.4 dated 2017-07-27

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Package coga updated to version 0.2.1 with previous version 0.2.0 dated 2017-06-28

Title: Convolution of Gamma Distributions
Description: Convolution of gamma distributions in R. The convolution of gamma distributions is the sum of series of gamma distributions and all gamma distributions here can have different parameters. This package can calculate density, distribution function and do simulation work.
Author: Chaoran Hu [aut, cre], Vladimir Pozdnyakov [ths], Jun Yan [ths]
Maintainer: Chaoran Hu <chaoran.hu@uconn.edu>

Diff between coga versions 0.2.0 dated 2017-06-28 and 0.2.1 dated 2017-07-27

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Package clustMixType updated to version 0.1-22 with previous version 0.1-17 dated 2016-11-11

Title: k-Prototypes Clustering for Mixed Variable-Type Data
Description: Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to Z.Huang (1998): Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Variables, Data Mining and Knowledge Discovery 2, 283-304, <DOI:10.1023/A:1009769707641>.
Author: Gero Szepannek
Maintainer: Gero Szepannek <gero.szepannek@web.de>

Diff between clustMixType versions 0.1-17 dated 2016-11-11 and 0.1-22 dated 2017-07-27

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Package subselect updated to version 0.13 with previous version 0.12-6 dated 2016-07-28

Title: Selecting Variable Subsets
Description: A collection of functions which (i) assess the quality of variable subsets as surrogates for a full data set, in either an exploratory data analysis or in the context of a multivariate linear model, and (ii) search for subsets which are optimal under various criteria.
Author: Jorge Orestes Cerdeira [aut], Pedro Duarte Silva [aut], Jorge Cadima [aut, cre], Manuel Minhoto [aut]
Maintainer: Jorge Cadima <jcadima@isa.utl.pt>

Diff between subselect versions 0.12-6 dated 2016-07-28 and 0.13 dated 2017-07-27

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New package simsurv with initial version 0.1.0
Package: simsurv
Type: Package
Title: Simulate Survival Data
Version: 0.1.0
Authors@R: c(person("Sam", "Brilleman", email = "sam.brilleman@monash.edu", role = c("cre", "aut", "cph")))
Maintainer: Sam Brilleman <sam.brilleman@monash.edu>
Description: Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard or log hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or some transformation of time. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions. If the user wishes to provide a user-defined hazard or log hazard function then this is also possible, and the resulting cumulative hazard function does not need to have a closed-form solution. Note that this package is modelled on the 'survsim' package available in the 'Stata' software (see Crowther and Lambert (2012) <http://www.stata-journal.com/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).
License: GPL (>= 3) | file LICENSE
Depends: R (>= 3.3.2)
Imports: methods, stats
Suggests: eha (>= 2.4.5), MASS, survival (>= 2.40.1), testthat (>= 1.0.2)
LazyData: true
BugReports: https://github.com/sambrilleman/simsurv/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-27 04:06:17 UTC; brillems
Author: Sam Brilleman [cre, aut, cph]
Repository: CRAN
Date/Publication: 2017-07-27 11:08:12 UTC

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New package mosaicCalc with initial version 0.5.0
Package: mosaicCalc
Type: Package
Title: Function-Based Numerical and Symbolic Differentiation and Antidifferentiation
Description: Part of the Project MOSAIC (<http://mosaic-web.org/>) suite that provides utility functions for doing calculus (differentiation and integration) in R. The main differentiation and antidifferentiation operators are described using formulas and return functions rather than numerical values. Numerical values can be obtained by evaluating these functions.
Version: 0.5.0
Date: 2017-07-26
Depends: R (>= 3.0.0), mosaicCore
Imports: methods, stats, MASS, mosaic
Suggests: testthat, knitr, rmarkdown
Author: Daniel T. Kaplan <kaplan@macalester.edu>, Randall Pruim <rpruim@calvin.edu>, Nicholas J. Horton <nhorton@amherst.edu>
Maintainer: Randall Pruim <rpruim@calvin.edu>
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
URL: https://github.com/ProjectMOSAIC/mosaicCalc
BugReports: https://github.com/ProjectMOSAIC/mosaicCalc/issues
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-07-27 11:12:00 UTC; rpruim
Repository: CRAN
Date/Publication: 2017-07-27 11:22:02 UTC

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Package SiMRiv updated to version 1.0.0 with previous version 0.9.1 dated 2016-07-15

Title: Individual-Based, Spatially-Explicit Simulation and Analysis of Multi-State Movements in River Networks and Heterogeneous Landscapes
Description: Provides functions to generate and analyze individual-based spatially-explicit simulations of multi-state movements in heterogeneous landscapes, based on "resistance" rasters. Although originally conceived and designed to simulate spatially-explicit trajectories of species constrained to linear, dendritic habitats (e.g., river networks), the simulation algorithm is built to be highly flexible and can be applied to any (aquatic, semi-aquatic or terrestrial) organism. Thus, the user will be able to use the package to simulate movements either in homogeneous landscapes, heterogeneous landscapes (e.g. semi-aquatic animal moving mainly along rivers but also using the matrix), or even in highly contrasted landscapes (e.g. fish in a river network). The algorithm and its input parameters are the same for all cases, so that results are comparable. Simulated trajectories can then be used as mechanistic null models to test e.g. for species site fidelity and other 'Movement Ecology' hypotheses, or for other predictive purposes. The package should thus be relevant to explore a broad spectrum of ecological phenomena, such as those at the interface of animal behaviour, landscape, spatial and movement ecology, disease and invasive species spread, and population dynamics.
Author: Lorenzo Quaglietta [aut], Miguel Porto [aut, cre], Erida Gjini [ctb]
Maintainer: Miguel Porto <mpbertolo@gmail.com>

Diff between SiMRiv versions 0.9.1 dated 2016-07-15 and 1.0.0 dated 2017-07-27

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Package RHMS updated to version 1.3 with previous version 1.2 dated 2017-07-14

Title: Hydrologic Modelling System for R Users
Description: Hydrologic modelling system is an object oriented tool which enables R users to simulate and analyze hydrologic events. The package proposes functions and methods for construction, simulation, visualization, and calibration of hydrologic systems.
Author: Rezgar Arabzadeh ; Shahab Araghinejad
Maintainer: Rezgar Arabzadeh <rezgararabzadeh@ut.ac.ir>

Diff between RHMS versions 1.2 dated 2017-07-14 and 1.3 dated 2017-07-27

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New package recipes with initial version 0.1.0
Package: recipes
Title: Preprocessing Tools to Create Design Matrices
Version: 0.1.0
Authors@R: c( person("Max", "Kuhn", , "max@rstudio.com", c("aut", "cre")), person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"), person("RStudio", role = "cph"))
Description: An extensible framework to create and preprocess design matrices. Recipes consist of one or more data manipulation and analysis "steps". Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting design matrices can then be used as inputs into statistical or machine learning models.
URL: https://github.com/topepo/recipes
BugReports: https://github.com/topepo/recipes/issues
Depends: R (>= 3.2.3), dplyr
Imports: tibble, stats, ipred, dimRed (>= 0.1.0), lubridate, timeDate, ddalpha, purrr, rlang (>= 0.1.1), gower, RcppRoll, tidyselect (>= 0.1.1), magrittr
Suggests: testthat, rpart, kernlab, fastICA, RANN, igraph, knitr, caret, ggplot2, rmarkdown
License: GPL-2
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-27 01:40:39 UTC; max
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Repository: CRAN
Date/Publication: 2017-07-27 10:46:19 UTC

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Package preseqR updated to version 3.1.1 with previous version 3.1.0 dated 2017-05-21

Title: Predicting the Number of Species in a Random Sample
Description: The relation between the number of species and the number of individuals in a random sample is a classic problem back to Fisher (1943) <doi:10.2307/1411>. We generalize this problem to estimate the number of species represented at least r times in a random sample. In particular when r=1, it becomes the classic problem. We use a mixture of Poisson processes to model sampling procedures and apply a nonparametric empirical Bayes approach to obtain an estimator. For more information on preseqR, see Deng C, Daley T and Smith AD (2015) <doi:10.1007/s40484-015-0049-7> and Deng C and Smith AD (2016) <arXiv:1607.02804v2>.
Author: Chao Deng, Timothy Daley and Andrew D. Smith
Maintainer: Chao Deng <chaodeng@usc.edu>

Diff between preseqR versions 3.1.0 dated 2017-05-21 and 3.1.1 dated 2017-07-27

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New package lsplsGlm with initial version 1.0
Package: lsplsGlm
Type: Package
Title: Classification using LS-PLS for Logistic Regression
Version: 1.0
Date: 2017-07-19
Encoding: latin1
Author: Caroline Bazzoli <caroline.bazzoli@univ-grenoble-alpes.fr>, Sophie Lambert-Lacroix <sophie.lambert-lacroix@univ-grenoble-alpes.fr>, Thomas Bouleau <tbouleau@gmail.com>
Depends: R (>= 3.0), methods, stats
Maintainer: Bazzoli Caroline <caroline.bazzoli@univ-grenoble-alpes.fr>
Description: Fit logistic regression models using LS-PLS approaches to analyse both clinical and genomic data. (C. Bazzoli and S. Lambert-Lacroix. (2017) Classification using LS-PLS with logistic regression based on both clinical and gene expression variables <https://hal.archives-ouvertes.fr/hal-01405101>).
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
Packaged: 2017-07-27 09:55:55 UTC; tbouleau
Repository: CRAN
Date/Publication: 2017-07-27 10:34:54 UTC

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New package icmm with initial version 1.0
Package: icmm
Type: Package
Title: Empirical Bayes Variable Selection via ICM/M Algorithm
Version: 1.0
Authors@R: c(person("Vitara", "Pungpapong", role = c("aut", "cre"), email = "vitara@cbs.chula.ac.th"), person("Min", "Zhang", role = "aut", email="minzhang@stat.purdue.edu"), person("Dabao", "Zhang", role = "aut", email = "zhangdb@stat.purdue.edu"))
Author: Vitara Pungpapong [aut, cre], Min Zhang [aut], Dabao Zhang [aut]
Maintainer: Vitara Pungpapong <vitara@cbs.chula.ac.th>
Description: Carries out empirical Bayes variable selection via ICM/M algorithm. The basic problem is to fit high-dimensional regression which most coefficients are assumed to be zero. This package allows incorporating the Ising prior to capture structure of predictors in the modeling process. The current version of this package can handle the normal, binary logistic, and Cox's regression (Pungpapong et. al. (2015) <doi:10.1214/15-EJS1034>, Pungpapong et. al. (2017) <arXiv:1707.08298>).
License: GPL (>= 2)
Imports: EbayesThresh
Suggests: MASS, stats
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-07-27 08:17:17 UTC; vpungpap
Repository: CRAN
Date/Publication: 2017-07-27 08:42:29 UTC

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