Fri, 12 Jan 2018

Package uavRmp updated to version 0.5.3 with previous version 0.5.1 dated 2017-10-11

Title: UAV Mission Planner
Description: The Unmanned Aerial Vehicle Mission Planner provides an easy to use workflow for planning autonomous obstacle avoiding surveys of rtf-UAVs to retrieve aerial or spot related data. It creates either intermediate flight control files for the DJI phantom x UAVs or ready to upload control files for the pixhawk based flightcontroller as used in the 3DR Solo. Additionally it contains some useful tools for digitizing and data manipulation.
Author: Chris Reudenbach [cre, aut], Sebastian Richter [ctb], Lars Opgenoorth [ctb], Florian Detsch [ctb], Hanna Meyer [ctb]
Maintainer: Chris Reudenbach <reudenbach@uni-marburg.de>

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Package SARP.compo updated to version 0.0.3 with previous version 0.0.2 dated 2018-01-05

Title: Network-based Interpretation of Changes in Compositional Data
Description: Provides a set of functions to interpret changes in compositional data based on a network representation of all pairwise ratio comparisons: computation of all pairwise ratio, construction of a p-value matrix of all pairwise tests of these ratios between conditions, conversion of this matrix to a network.
Author: Emmanuel Curis [aut, cre]
Maintainer: Emmanuel Curis <emmanuel.curis@parisdescartes.fr>

Diff between SARP.compo versions 0.0.2 dated 2018-01-05 and 0.0.3 dated 2018-01-12

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Package Rmpfr updated to version 0.7-0 with previous version 0.6-1 dated 2016-11-15

Title: R MPFR - Multiple Precision Floating-Point Reliable
Description: Arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental ("special") functions. To this end, the package interfaces to the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library which itself is based on the 'GMP' (GNU Multiple Precision) Library.
Author: Martin Maechler
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package RhpcBLASctl updated to version 0.18-12 with previous version 0.15-148 dated 2015-05-28

Title: Control the Number of Threads on 'BLAS'
Description: Control the number of threads on 'BLAS' (Aka 'GotoBLAS', 'ACML' and 'MKL'). And possible to control the number of threads in 'OpenMP'. Get a number of logical cores and physical cores if feasible.
Author: Junji NAKANO <nakanoj@ism.ac.jp> and Ei-ji Nakama<nakama@com-one.com>
Maintainer: Ei-ji Nakama <nakama@com-one.com>

Diff between RhpcBLASctl versions 0.15-148 dated 2015-05-28 and 0.18-12 dated 2018-01-12

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Package rgl updated to version 0.99.9 with previous version 0.98.22 dated 2017-12-13

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Daniel Adler <dadler@uni-goettingen.de>, Duncan Murdoch <murdoch@stats.uwo.ca>, and others (see README)
Maintainer: Duncan Murdoch <murdoch@stats.uwo.ca>

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Package PSPManalysis updated to version 0.1.1 with previous version 0.1.0 dated 2018-01-08

Title: Analysis of Physiologically Structured Population Models
Description: Performs demographic, bifurcation and evolutionary analysis of physiologically structured population models, which is a class of models that consistently translates continuous-time models of individual life history to the population level. A model of individual life history has to be implemented specifying the individual-level functions that determine the life history, such as development and mortality rates and fecundity. M.A. Kirkilionis, O. Diekmann, B. Lisser, M. Nool, B. Sommeijer & A.M. de Roos (2001) <doi:10.1142/S0218202501001264>. O.Diekmann, M.Gyllenberg & J.A.J.Metz (2003) <doi:10.1016/S0040-5809(02)00058-8>. A.M. de Roos (2008) <doi:10.1111/j.1461-0248.2007.01121.x>.
Author: Andre M. de Roos [aut, cre], Ernst Hairer [ctb], Gerhard Wanner [ctb]
Maintainer: Andre M. de Roos <A.M.deRoos@uva.nl>

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Package np updated to version 0.60-6 with previous version 0.60-5 dated 2018-01-04

Title: Nonparametric Kernel Smoothing Methods for Mixed Data Types
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <http://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <http://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <http://www.sharcnet.ca>).
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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Package lava updated to version 1.6 with previous version 1.5.1 dated 2017-09-27

Title: Latent Variable Models
Description: A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
Author: Klaus K. Holst [aut, cre], Brice Ozenne [ctb], Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>

Diff between lava versions 1.5.1 dated 2017-09-27 and 1.6 dated 2018-01-12

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Package gimms updated to version 1.1.0 with previous version 1.0.0 dated 2016-12-16

Title: Download and Process GIMMS NDVI3g Data
Description: This is a set of functions to retrieve information about GIMMS NDVI3g files currently available online; download (and re-arrange, in the case of NDVI3g.v0) the half-monthly data sets from <https://ecocast.arc.nasa.gov/data/pub/gimms/>; import downloaded files from ENVI binary (NDVI3g.v0) or NetCDF format (NDVI3g.v1) directly into R based on the widespread 'raster' package; conduct quality control; and generate monthly composites (e.g., maximum values) from the half-monthly input data. As a special gimmick, a method is included to conveniently apply the Mann-Kendall trend test upon 'Raster*' images, optionally featuring trend-free pre-whitening to account for lag-1 autocorrelation.
Author: Florian Detsch [cre, aut]
Maintainer: Florian Detsch <fdetsch@web.de>

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Package FRK updated to version 0.1.8 with previous version 0.1.7 dated 2018-01-07

Title: Fixed Rank Kriging
Description: Fixed Rank Kriging is a tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach, discussed in Cressie and Johannesson (2008) <DOI:10.1111/j.1467-9868.2007.00633.x>, decomposes the field, and hence the covariance function, using a fixed set of n basis functions, where n is typically much smaller than the number of data points (or polygons) m. The method naturally allows for non-stationary, anisotropic covariance functions and the use of observations with varying support (with known error variance). The projected field is a key building block of the Spatial Random Effects (SRE) model, on which this package is based. The package FRK provides helper functions to model, fit, and predict using an SRE with relative ease.
Author: Andrew Zammit-Mangion [aut, cre], Timothy Davis [ctb], Patrick Amestoy [ctb], Iain Duff [ctb], John K. Reid [ctb]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>

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Package fpc updated to version 2.1-11 with previous version 2.1-10 dated 2015-08-14

Title: Flexible Procedures for Clustering
Description: Various methods for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Cluster-wise cluster stability assessment. Methods for estimation of the number of clusters: Calinski-Harabasz, Tibshirani and Walther's prediction strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variable-wise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modality diagnosis for Gaussian mixtures. For an overview see package?fpc.
Author: Christian Hennig <c.hennig@ucl.ac.uk>
Maintainer: Christian Hennig <c.hennig@ucl.ac.uk>

Diff between fpc versions 2.1-10 dated 2015-08-14 and 2.1-11 dated 2018-01-12

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Package BVSNLP updated to version 0.9.8 with previous version 0.9.7 dated 2018-01-08

Title: Bayesian Variable Selection in High Dimensional Settings using Non-Local Prior
Description: Variable/Feature selection in high or ultra-high dimensional settings has gained a lot of attention recently specially in cancer genomic studies. This package provides a Bayesian approach to tackle this problem, where it exploits mixture of point masses at zero and nonlocal priors to improve the performance of variable selection and coefficient estimation. It performs variable selection for binary response and survival time response datasets which are widely used in biostatistic and bioinformatics community. Benefiting from parallel computing ability, it reports necessary outcomes of Bayesian variable selection such as Highest Posterior Probability Model (HPPM), Median Probability Model (MPM) and posterior inclusion probability for each of the covariates in the model. The option to use Bayesian Model Averaging (BMA) is also part of this package that can be exploited for predictive power measurements in real datasets.
Author: Amir Nikooienejad [aut, cre], Valen E. Johnson [ths]
Maintainer: Amir Nikooienejad <amir@stat.tamu.edu>

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New package bnclassify with initial version 0.3.4
Package: bnclassify
Title: Learning Discrete Bayesian Network Classifiers from Data
Description: Implements state-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, as well as functions for using these classifiers for prediction, assessing their predictive performance, and inspecting their properties.
Version: 0.3.4
Authors@R: c(person("Mihaljevic","Bojan",email="bmihaljevic@fi.upm.es",role=c("aut","cre")), person("Bielza","Concha",email="mcbielza@fi.upm.es",role="aut"), person("Larranaga","Pedro",email="pedro.larranaga@fi.upm.es",role="aut"), person("Wickham", "Hadley", role="ctb", comment="some code extracted from memoise package"))
URL: http://github.com/bmihaljevic/bnclassify
BugReports: http://github.com/bmihaljevic/bnclassify/issues
Depends: R (>= 3.2.0)
Imports: assertthat (>= 0.1), entropy(>= 1.2.0), graph(>= 1.42.0), matrixStats(>= 0.14.0), RBGL(>= 1.40.1), rpart(>= 4.1-8)
Suggests: gRain(>= 1.2-3), gRbase(>= 1.7-0.1), mlr(>= 2.2), testthat(>= 0.8.1), knitr(>= 1.10.5), ParamHelpers(>= 1.5), Rgraphviz(>= 2.8.1), rmarkdown(>= 0.7), covr
License: GPL (>= 2)
Maintainer: Mihaljevic Bojan <bmihaljevic@fi.upm.es>
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-12 19:18:49 UTC; bmihaljevic
Author: Mihaljevic Bojan [aut, cre], Bielza Concha [aut], Larranaga Pedro [aut], Wickham Hadley [ctb] (some code extracted from memoise package)
Repository: CRAN
Date/Publication: 2018-01-13 00:32:24 UTC

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Package PWFSLSmoke updated to version 1.0.7 with previous version 1.0.3 dated 2018-01-04

Title: Utilities for Working with Air Quality Monitoring Data
Description: Utilities for working with air quality monitoring data with a focus on small particulates (PM2.5) generated by wildfire smoke. Functions are provided for downloading available data from the United States Environmental Protection Agency (US EPA) and it's AirNow air quality site. Additional sources of PM2.5 data made accessible by the package include: AIRSIS (password protected), the Western Regional Climate Center (WRCC) and the open source site OpenAQ.
Author: Jonathan Callahan [aut, cre], Rohan Aras [aut], Zach Dingels [aut], Jon Hagg [aut], Jimin Kim [aut], Helen Miller [aut], Rex Thompson [aut], Alice Yang [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package PRIMME updated to version 2.2-0 with previous version 2.1-0 dated 2017-04-13

Title: Eigenvalues and Singular Values and Vectors from Large Matrices
Description: R interface to PRIMME, a C library for computing a few eigenvalues and their corresponding eigenvectors of a real symmetric or complex Hermitian matrix. It can also compute singular values and vectors of a square or rectangular matrix. It can find largest, smallest, or interior singular/eigenvalues and can use preconditioning to accelerate convergence.
Author: Eloy Romero [aut, cre], Andreas Stathopoulos [aut], College of William & Mary [cph]
Maintainer: Eloy Romero <eloy@cs.wm.edu>

Diff between PRIMME versions 2.1-0 dated 2017-04-13 and 2.2-0 dated 2018-01-12

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Package EcoGenetics updated to version 1.2.1-3 with previous version 1.2.1-2 dated 2017-11-21

Title: Management and Exploratory Analysis of Spatial Data in Landscape Genetics
Description: Management and exploratory analysis of spatial data in landscape genetics. Easy integration of information from multiple sources with "ecogen" objects.
Author: Leandro Roser [aut, cre], Juan Vilardi [aut], Beatriz Saidman [aut], Laura Ferreyra [aut]
Maintainer: Leandro Roser <learoser@gmail.com>

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Package yearn updated to version 0.1.3 with previous version 0.1.1 dated 2017-06-16

Title: Use and if Needed Install Packages from CRAN, BioConductor, CRAN Archive, and GitHub
Description: This tries to attach a package if you have it; if not, it tries to install it from BioConductor or CRAN; if not available there, it tries to install it from the cran mirror on GitHub, which includes packages that have been removed from CRAN; if not available there, it looks for a matching other package on GitHub to install. Note this is sloppy practice and prone to all sorts of risks. However, there are use cases, such as quick scripting, or in a class where students already know best practices, where this can be useful. yearn was inspired by teaching in PhyloMeth, a course funded by an NSF CAREER award to the author (NSF DEB-1453424).
Author: Brian O'Meara [aut, cre]
Maintainer: Brian O'Meara <omeara.brian@gmail.com>

Diff between yearn versions 0.1.1 dated 2017-06-16 and 0.1.3 dated 2018-01-12

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Package ngspatial updated to version 1.2-1 with previous version 1.2 dated 2017-06-21

Title: Fitting the Centered Autologistic and Sparse Spatial Generalized Linear Mixed Models for Areal Data
Description: Provides tools for analyzing spatial data, especially non- Gaussian areal data. The current version supports the sparse restricted spatial regression model of Hughes and Haran (2013) <DOI:10.1111/j.1467-9868.2012.01041.x>, the centered autologistic model of Caragea and Kaiser (2009) <DOI:10.1198/jabes.2009.07032>, and the Bayesian spatial filtering model of Hughes (2017) <arXiv:1706.04651>.
Author: John Hughes <jphughesjr@gmail.com> and Xiaohui Cui
Maintainer: John Hughes <jphughesjr@gmail.com>

Diff between ngspatial versions 1.2 dated 2017-06-21 and 1.2-1 dated 2018-01-12

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Package data.world updated to version 1.2.0 with previous version 1.1.1 dated 2017-06-23

Title: Functions and Add-Ins for Working with 'data.world' Data Sets and Projects
Description: High-level tools for working with 'data.world' data sets. 'data.world' is a platform where you can find interesting data, store and showcase your own data and data projects, and find and collaborate with other members. In addition to exploring, querying and charting data on the data.world site, you can access data via 'API' endpoints and integrations. Use this package to access, query and explore data sets, and to publish your insights. Visit <https://data.world>, for additional information.
Author: Rafael Pereira [aut, cre], Triet Le [aut], Bryon Jacob [aut], Scott Came [aut]
Maintainer: Rafael Pereira <rafael.pereira@data.world>

Diff between data.world versions 1.1.1 dated 2017-06-23 and 1.2.0 dated 2018-01-12

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Package qCBA updated to version 0.3.1 with previous version 0.3 dated 2017-12-01

Title: Quantitative Classification by Association Rules
Description: CBA postprocessing algorithm that creates smaller models for datasets containing quantitative (numerical) attributes. Article describing QCBA is published in Tomas Kliegr (2017) <arXiv:1711.10166>.
Author: Tomas Kliegr
Maintainer: Tomas Kliegr <kliegr@gmail.com>

Diff between qCBA versions 0.3 dated 2017-12-01 and 0.3.1 dated 2018-01-12

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Package preText updated to version 0.6.2 with previous version 0.6.1 dated 2017-11-13

Title: Diagnostics to Assess the Effects of Text Preprocessing Decisions
Description: Functions to assess the effects of different text preprocessing decisions on the inferences drawn from the resulting document-term matrices they generate.
Author: Matthew J. Denny <mdenny@psu.edu>, Arthur Spirling <as9934@nyu.edu>,
Maintainer: Matthew J. Denny <mdenny@psu.edu>

Diff between preText versions 0.6.1 dated 2017-11-13 and 0.6.2 dated 2018-01-12

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Package blavaan updated to version 0.3-1 with previous version 0.2-4 dated 2017-04-26

Title: Bayesian Latent Variable Analysis
Description: Fit a variety of Bayesian latent variable models, including confirmatory factor analysis, structural equation models, and latent growth curve models.
Author: Edgar Merkle [aut, cre], Yves Rosseel [aut], Mauricio Garnier-Villarreal [ctb]
Maintainer: Edgar Merkle <merklee@missouri.edu>

Diff between blavaan versions 0.2-4 dated 2017-04-26 and 0.3-1 dated 2018-01-12

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Package netgwas updated to version 0.1.2.0 with previous version 0.0.1-1 dated 2017-12-01

Title: Network-Based Genome Wide Association Studies
Description: A multi-core R package that contains a set of tools based on undirected graphical models for accomplishing three important and interrelated goals in genetics: (1) linkage map construction, (2) reconstructing intra- and inter-chromosomal conditional interactions (linkage disequilibrium) networks, and (3) exploring high-dimensional genotype-phenotype network and genotype-phenotype-environment interactions network. For this purpose, we use conditional (in)dependence relationships between variables. The netgwas package can deal with biparental inbreeding and outbreeding species with any ploidy level, namely diploid (2 sets of chromosomes), triploid (3 sets of chromosomes), tetraploid (4 sets of chromosomes) and so on. We target on high-dimensional data where number of variables p is larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output. The package is implemented the recent developments in Behrouzi and Wit (2017) <arXiv:1710.00894> and Behrouzi and Wit (2017) <arXiv:1710.01063> .
Author: Pariya Behrouzi and Ernst C. Wit
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>

Diff between netgwas versions 0.0.1-1 dated 2017-12-01 and 0.1.2.0 dated 2018-01-12

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Package GD updated to version 1.1 with previous version 1.0 dated 2018-01-03

Title: Geographical Detectors
Description: Geographical detectors for measuring spatial stratified heterogeneity, as described in Jinfeng Wang (2010) <doi:10.1080/13658810802443457> and Jinfeng Wang (2016) <doi:10.1016/j.ecolind.2016.02.052>. Includes the discretization of continuous data and four primary functions of geographical detectors.
Author: Yongze Song [aut, cre] (0000-0003-3420-9622)
Maintainer: Yongze Song <yongze.song@postgrad.curtin.edu.au>

Diff between GD versions 1.0 dated 2018-01-03 and 1.1 dated 2018-01-12

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Package moult updated to version 2.1.0 with previous version 2.0.0 dated 2016-05-04

Title: Models for Analysing Moult in Birds
Description: Functions to estimate start and duration of moult from moult data, based on models developed in Underhill and Zucchini (1988, 1990).
Author: Birgit Erni <birgit.erni@uct.ac.za>. Based on models developed by Underhill and Zucchini (1988, 1990).
Maintainer: Birgit Erni <birgit.erni@uct.ac.za>

Diff between moult versions 2.0.0 dated 2016-05-04 and 2.1.0 dated 2018-01-12

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Package SeqKat (with last version 0.0.4) was removed from CRAN

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

2017-06-25 0.0.4

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Package rtop updated to version 0.5-13 with previous version 0.5-10 dated 2016-09-12

Title: Interpolation of Data with Variable Spatial Support
Description: Geostatistical interpolation of data with irregular spatial support such as runoff related data or data from administrative units.
Author: Jon Olav Skoien
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>

Diff between rtop versions 0.5-10 dated 2016-09-12 and 0.5-13 dated 2018-01-12

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