Tue, 12 Jul 2016

New package SiMRiv with initial version 0.9
Package: SiMRiv
Version: 0.9
Date: 2016-07-12
Title: Individual-Based, Spatially-Explicit Simulation and Analysis of Multi-State Movements in River Networks and Heterogeneous Landscapes
Authors@R: c(person("Lorenzo", "Quaglietta", role = c("aut"), email = "lontrenzo@gmail.com") ,person("Miguel", "Porto", role = c("aut", "cre"), email = "mpbertolo@gmail.com") ,person("Erida", "Gjini", role = c("ctb"), email = "egjini@igc.gulbenkian.pt") ,person("Bob", "Harris", role = c("ctb")) )
Depends: R (>= 1.8.0), raster
Imports: methods, stats
Suggests: adehabitatLT, maptools
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 fill the gap of softwares simulating 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 in a riverscape), 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 null models to test e.g. for species site fidelity and other movement ecology hypotheses, or to build predictive, mechanistic movement models, among other things. 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. This is the first released experimental version; do test before using in production.
License: GPL (>= 2)
URL: http://www.r-project.org, https://github.com/miguel-porto/SiMRiv
BugReports: https://github.com/miguel-porto/SiMRiv
NeedsCompilation: yes
Packaged: 2016-07-12 09:27:07 UTC; miguel
Author: Lorenzo Quaglietta [aut], Miguel Porto [aut, cre], Erida Gjini [ctb], Bob Harris [ctb]
Maintainer: Miguel Porto <mpbertolo@gmail.com>
Repository: CRAN
Date/Publication: 2016-07-12 13:36:28

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Package SIDES updated to version 1.2 with previous version 1.1 dated 2016-06-29

Title: Subgroup Identification Based on Differential Effect Search
Description: Provides function to apply "Subgroup Identification based on Differential Effect Search" (SIDES) method proposed by Lipkovich et al. (2011) <doi:10.1002/sim.4289>.
Author: Marie-Karelle Riviere
Maintainer: Marie-Karelle Riviere <eldamjh@gmail.com>

Diff between SIDES versions 1.1 dated 2016-06-29 and 1.2 dated 2016-07-12

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New package FFTrees with initial version 1.0.1
Package: FFTrees
Type: Package
Title: Generate, Visualise, and Compare Fast and Frugal Decision Trees (FFTs)
Version: 1.0.1
Date: 2016-07-11
Authors@R: person("Nathaniel", "Phillips", email = "Nathaniel.D.Phillips.is@gmail.com", role = c("aut", "cre"))
Maintainer: Nathaniel Phillips <Nathaniel.D.Phillips.is@gmail.com>
Description: Fast and Frugal Trees (FFTs) are very simply decision trees for classifying cases (i.e.; breast cancer patients) into one of two classes (e.g.; no cancer vs. true cancer). FFTs can be preferable to more complex algorithms (such as logistic regression) because they are easy to communicate and implement, and are robust against noisy data. This package contains several functions that allow users to input their own data, set model criteria and visualize the best tree(s) for their data.
LazyData: TRUE
Depends: R(>= 2.10)
Imports: rpart, snowfall, MASS, circlize, graphics
License: CC0
BugReports: https://github.com/ndphillips/FFTrees/issues
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-07-12 09:03:30 UTC; nphillips
Author: Nathaniel Phillips [aut, cre]
Repository: CRAN
Date/Publication: 2016-07-12 13:36:23

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Package xgboost updated to version 0.4-4 with previous version 0.4-3 dated 2016-02-15

Title: Extreme Gradient Boosting
Description: Extreme Gradient Boosting, which is an efficient implementation of gradient boosting framework. This package is its R interface. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation on a single machine which could be more than 10 times faster than existing gradient boosting packages. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.
Author: Tianqi Chen <tianqi.tchen@gmail.com>, Tong He <hetong007@gmail.com>, Michael Benesty <michael@benesty.fr>
Maintainer: Tong He <hetong007@gmail.com>

Diff between xgboost versions 0.4-3 dated 2016-02-15 and 0.4-4 dated 2016-07-12

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Package preseqR updated to version 2.0.1.1 with previous version 2.0.1 dated 2016-07-12

Title: Predicting Species Accumulation Curves
Description: Estimating the number of species represented r or more times in a random sample.
Author: Chao Deng, Timothy Daley and Andrew D. Smith
Maintainer: Chao Deng <chaodeng@usc.edu>

Diff between preseqR versions 2.0.1 dated 2016-07-12 and 2.0.1.1 dated 2016-07-12

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New package simulator with initial version 0.2.0
Package: simulator
Title: An Engine for Running Simulations
Version: 0.2.0
Date: 2016-07-11
Authors@R: person("Jacob", "Bien", email = "jbien@cornell.edu", role = c("aut", "cre"))
Description: A framework for performing simulations such as those common in methodological statistics papers. The design principles of this package are described in greater depth in Bien, J. (2016) "The simulator: An Engine to Streamline Simulations," which is available at <http://faculty.bscb.cornell.edu/~bien/simulator.pdf>.
Depends: R (>= 3.2.0)
Imports: methods, graphics, grDevices, stats, utils, magrittr
Suggests: digest, ggplot2, knitr, rmarkdown, testthat, glmnet, mvtnorm
License: GPL-3
LazyData: true
VignetteBuilder: knitr
URL: http://github.com/jacobbien/simulator
BugReports: http://github.com/jacobbien/simulator/issues
Collate: 'evals-class.R' 'output-class.R' 'component-class.R' 'model-class.R' 'draws-class.R' 'reference-classes.R' 'simulation-class.R' 'add-to-simulation.R' 'aggregator-class.R' 'utils.R' 'create.R' 'draws.R' 'evaluate.R' 'metric-class.R' 'method-class.R' 'examples.R' 'extended-method-class.R' 'get-from-simulation.R' 'import_from.R' 'load.R' 'manage.R' 'method-extension-class.R' 'methods.R' 'models.R' 'parallel-draws.R' 'parallel-methods.R' 'parallel.R' 'plot_eval.R' 'plot_eval_by.R' 'plot_evals.R' 'tables.R' 'zzz.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-12 05:25:30 UTC; jbien
Author: Jacob Bien [aut, cre]
Maintainer: Jacob Bien <jbien@cornell.edu>
Repository: CRAN
Date/Publication: 2016-07-12 10:55:18

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Package hunspell updated to version 1.4 with previous version 1.2 dated 2016-03-19

Title: Morphological Analysis and Spell Checker for R
Description: A spell checker and morphological analyzer library designed for languages with rich morphology and complex word compounding or character encoding. The package can check and analyze individual words as well as search for incorrect words within a text, latex or manual document. Use the 'devtools' package to spell R documentation with 'hunspell'.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

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Package vtreat updated to version 0.5.26 with previous version 0.5.25 dated 2016-05-03

Title: Simple Variable Treatment
Description: A data.frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: Inf, NA, too many categorical levels, rare categorical levels, new categorical levels (levels seen during application, but not during training). 'vtreat::prepare' should be used as you would use 'model.matrix'.
Author: John Mount, Nina Zumel
Maintainer: John Mount <jmount@win-vector.com>

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Package VariABEL updated to version 0.9-2.1 with previous version 0.9-2 dated 2014-01-30

Title: Testing of Genotypic Variance Heterogeneity to Detect Potentially Interacting SNP
Description: Presence of interaction between a SNP and another SNP (or another factor) can result in heterogeneity of variance between the genotypes of an interacting SNP. Detecting such heterogeneity gives prior knowledge for constructing a genetic model underlying complex trait.
Author: Maksim Struchalin
Maintainer: Maksim Struchalin <m.v.struchalin@mail.ru>

Diff between VariABEL versions 0.9-2 dated 2014-01-30 and 0.9-2.1 dated 2016-07-12

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Package Rfacebook updated to version 0.6.6 with previous version 0.6.3 dated 2016-03-03

Title: Access to Facebook API via R
Description: Provides an interface to the Facebook API.
Author: Pablo Barbera <pbarbera@usc.edu>, Michael Piccirilli <mrp2181@columbia.edu>, Andrew Geisler
Maintainer: Pablo Barbera <pbarbera@usc.edu>

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Package preseqR updated to version 2.0.1 with previous version 2.0.0 dated 2016-02-02

Title: Predicting Species Accumulation Curves
Description: Estimating the number of species represented r or more times in a random sample.
Author: Chao Deng, Timothy Daley and Andrew D. Smith
Maintainer: Chao Deng <chaodeng@usc.edu>

Diff between preseqR versions 2.0.0 dated 2016-02-02 and 2.0.1 dated 2016-07-12

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Package mixedsde updated to version 2.0 with previous version 1.0 dated 2016-04-22

Title: Estimation Methods for Stochastic Differential Mixed Effects Models
Description: Inference on stochastic differential models Ornstein-Uhlenbeck or Cox-Ingersoll-Ross, with one or two random effects in the drift function.
Author: Charlotte Dion [aut, cre], Adeline Sansom [aut], Simone Hermann [aut]
Maintainer: Charlotte Dion <charlotte.dion1@gmail.com>

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New package nzelect with initial version 0.2.0
Package: nzelect
Title: New Zealand Election Results
Version: 0.2.0
Authors@R: person("Peter", "Ellis", email = "peter.ellis2013nz@gmail.com", role = c("aut", "cre"))
Description: Convenient access to New Zealand election results by voting place. Voting places have been matched to Regional Council, Territorial Authority, and Area Unit, to facilitate matching with additional data.
Depends: R (>= 3.1.2)
License: GPL-3
LazyData: true
Suggests: testthat, dplyr, tidyr, knitr, rmarkdown, ggplot2, scales, ggthemes, GGally
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-07-12 02:06:10 UTC; Peter
Author: Peter Ellis [aut, cre]
Maintainer: Peter Ellis <peter.ellis2013nz@gmail.com>
Repository: CRAN
Date/Publication: 2016-07-12 07:49:45

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Package lmem.qtler updated to version 0.1.1 with previous version 0.1.0 dated 2016-05-05

Title: Linear Mixed Effects Models for QTL Mapping for Multienvironment and Multitrait Analysis
Description: Performs QTL mapping analysis for balanced and for multi-environment and multi-trait analysis using mixed models. Balanced population, single trait, single environment QTL mapping is performed through marker-regression (Haley and Knott (1992) <DOI:10.1038/hdy.1992.131>, Martinez and Curnow (1992) <DOI:10.1007/BF00222330>, while multi-environment and multi-trait QTL mapping is performed through linear mixed models. These functions could use any of the following populations: double haploid, F2, recombinant inbred lines, back-cross, and 4-way crosses. Performs a Single Marker Analysis, a Single Interval Mapping, or a Composite Interval Mapping analysis, and then constructs a final model with all of the relevant QTL.
Author: Lucia Gutierrez [aut], Gaston Quero [aut, cre], Schubert Fernandez [aut], Sofia Brandariz [aut], Sebastian Simondi [ctb]
Maintainer: Gaston Quero <gastonquero@gmail.com>

Diff between lmem.qtler versions 0.1.0 dated 2016-05-05 and 0.1.1 dated 2016-07-12

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Package DNAtools updated to version 0.1-21.1 with previous version 0.1-21 dated 2014-09-03

Title: Tools for Analysing Forensic Genetic DNA Data
Description: Computationally efficient tools for comparing all pairs of profiles in a DNA database. The expectation and covariance of the summary statistic is implemented for fast computing. Routines for estimating proportions of close related individuals are available. The use of wildcards (also called F-designation) is implemented. Dedicated functions ease plotting the results.
Author: Torben Tvedebrink <tvede@math.aau.dk> and James Curran <j.curran@auckland.ac.nz>. Mikkel Meyer Andersen <mikl@math.aau.dk> assisted on the multicore/CPU implementation.
Maintainer: Torben Tvedebrink <tvede@math.aau.dk>

Diff between DNAtools versions 0.1-21 dated 2014-09-03 and 0.1-21.1 dated 2016-07-12

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 NAMESPACE        |   14 +++++++++++++-
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Package install.load updated to version 1.2.1 with previous version 1.1.1 dated 2016-06-13

Title: Check, Install and Load CRAN & USGS GRAN Packages
Description: The function `install_load` checks the local R library(ies) to see if the required package(s) is/are installed or not. If the package(s) is/are not installed, then the package(s) will be installed along with the required dependency(ies). This function pulls source or binary packages from the Rstudio-sponsored CRAN mirror and/or the USGS GRAN Repository. Lastly, the chosen package(s) is/are loaded. The function `load_package` simply loads the provided packages.
Author: maloneypatr [aut, cre] (Author of original install_load function, see http://stackoverflow.com/questions/15155814/check-if-r-package-is-installed-then-load-library), Irucka Embry [aut, ctb]
Maintainer: Irucka Embry <iembry@ecoccs.com>

Diff between install.load versions 1.1.1 dated 2016-06-13 and 1.2.1 dated 2016-07-12

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Package BBmisc updated to version 1.10 with previous version 1.9 dated 2015-02-03

Title: Miscellaneous Helper Functions for B. Bischl
Description: Miscellaneous helper functions for and from B. Bischl and some other guys at TU Dortmund, mainly for package development.
Author: Bernd Bischl [aut, cre], Michel Lang [aut], Jakob Bossek [aut], Daniel Horn [aut], Jakob Richter [aut], Dirk Surmann [aut]
Maintainer: Bernd Bischl <bernd_bischl@gmx.net>

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 110 files changed, 297 insertions(+), 234 deletions(-)

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Package BANFF updated to version 1.1 with previous version 1.0 dated 2015-10-12

Title: Bayesian Network Feature Finder
Description: Provides a full package of posterior inference, model comparison, and graphical illustration of model fitting. A parallel computing algorithm for the Markov chain Monte Carlo (MCMC) based posterior inference and an Expectation-Maximization (EM) based algorithm for posterior approximation are are developed, both of which greatly reduce the computational time for model inference.
Author: Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu
Maintainer: Zhou Lan <zlan6@gatech.edu>

Diff between BANFF versions 1.0 dated 2015-10-12 and 1.1 dated 2016-07-12

 DESCRIPTION       |    6 ++--
 MD5               |    4 +--
 R/Generating_Zi.R |   72 +++++++++++++++++++++++++++---------------------------
 3 files changed, 41 insertions(+), 41 deletions(-)

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