Fri, 02 Feb 2018

Package tuber updated to version 0.9.3 with previous version 0.9.2 dated 2017-11-19

Title: Client for the YouTube API
Description: Get comments posted on YouTube videos, information on how many times a video has been liked, search for videos with particular content, and much more. You can also scrape captions from a few videos. To learn more about the YouTube API, see <https://developers.google.com/youtube/v3/>.
Author: Gaurav Sood [aut, cre], Kate Lyons [ctb]
Maintainer: Gaurav Sood <gsood07@gmail.com>

Diff between tuber versions 0.9.2 dated 2017-11-19 and 0.9.3 dated 2018-02-02

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 20 files changed, 119 insertions(+), 75 deletions(-)

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Package fuzzyforest updated to version 1.0.5 with previous version 1.0.4 dated 2017-11-12

Title: Fuzzy Forests
Description: Fuzzy forests, a new algorithm based on random forests, is designed to reduce the bias seen in random forest feature selection caused by the presence of correlated features. Fuzzy forests uses recursive feature elimination random forests to select features from separate blocks of correlated features where the correlation within each block of features is high and the correlation between blocks of features is low. One final random forest is fit using the surviving features. This package fits random forests using the 'randomForest' package and allows for easy use of 'WGCNA' to split features into distinct blocks.
Author: Daniel Conn [aut, cre], Tuck Ngun [aut], Christina M. Ramirez [aut]
Maintainer: Daniel Conn <djconn17@gmail.com>

Diff between fuzzyforest versions 1.0.4 dated 2017-11-12 and 1.0.5 dated 2018-02-02

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More information about fuzzyforest at CRAN
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Package Zseq updated to version 0.2.0 with previous version 0.1.2 dated 2018-01-31

Title: Integer Sequence Generator
Description: Generates well-known integer sequences. 'gmp' package is adopted for computing with arbitrarily large numbers. Every function has hyperlink to its corresponding item in OEIS (The On-Line Encyclopedia of Integer Sequences) in the function help page. For interested readers, see Sloane and Plouffe (1995, ISBN:978-0125586306).
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyou@nd.edu>

Diff between Zseq versions 0.1.2 dated 2018-01-31 and 0.2.0 dated 2018-02-02

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More information about Zseq at CRAN
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Package ICSOutlier updated to version 0.3-0 with previous version 0.2-0 dated 2016-12-20

Title: Outlier Detection Using Invariant Coordinate Selection
Description: Multivariate outlier detection is performed using invariant coordinates where the package offers different methods to choose the appropriate components.
Author: Aurore Archimbaud, Klaus Nordhausen, Anne Ruiz-Gazen
Maintainer: Klaus Nordhausen <klaus.nordhausen@tuwien.ac.at>

Diff between ICSOutlier versions 0.2-0 dated 2016-12-20 and 0.3-0 dated 2018-02-02

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More information about ICSOutlier at CRAN
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Package SoyNAM updated to version 1.4 with previous version 1.3 dated 2016-12-13

Title: Soybean Nested Association Mapping Dataset
Description: Genomic and multi-environmental soybean data. Soybean Nested Association Mapping (SoyNAM) project dataset funded by the United Soybean Board (USB), pre-formatted for general analysis and genome-wide association analysis using the NAM package.
Author: Alencar Xavier, William Beavis, James Specht, Brian Diers, Reka Howard, William Muir, Katy Rainey.
Maintainer: Alencar Xavier <alenxav@gmail.com>

Diff between SoyNAM versions 1.3 dated 2016-12-13 and 1.4 dated 2018-02-02

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More information about SoyNAM at CRAN
Permanent link

Package svMisc updated to version 1.0-1 with previous version 0.9-70 dated 2014-03-02

Title: SciViews - Miscellaneous Functions
Description: Miscellaneous functions for SciViews or general use: manage a temporary environment attached to the search path for temporary variables you do not want to save() or load(), test if Aqua, Mac, Win, ... Show progress bar, etc.
Author: Philippe Grosjean [aut, cre], Romain Francois [ctb], Kamil Barton [ctb]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

Diff between svMisc versions 0.9-70 dated 2014-03-02 and 1.0-1 dated 2018-02-02

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Package quantreg updated to version 5.35 with previous version 5.34 dated 2017-10-25

Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker@illinois.edu>

Diff between quantreg versions 5.34 dated 2017-10-25 and 5.35 dated 2018-02-02

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Package ddalpha updated to version 1.3.1.1 with previous version 1.3.1 dated 2017-09-27

Title: Depth-Based Classification and Calculation of Data Depth
Description: Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included.
Author: Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut], Stanislav Nagy [aut]
Maintainer: Oleksii Pokotylo <alexey.pokotylo@gmail.com>

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Package crunch updated to version 1.20.0 with previous version 1.19.0 dated 2017-11-14

Title: Crunch.io Data Tools
Description: The Crunch.io service <http://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Author: Neal Richardson [aut, cre], Jonathan Keane [ctb], Gordon Shotwell [ctb]
Maintainer: Neal Richardson <neal@crunch.io>

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Package BNN updated to version 1.0.2 with previous version 1.0.1 dated 2018-01-25

Title: Bayesian Neural Network for High-Dimensional Nonlinear Variable Selection
Description: Perform Bayesian variable selection for high-dimensional nonlinear systems and also can be used to test nonlinearity for a general regression problem. The computation can be accelerated using multiple CPUs. You can refer to <doi:10.1080/01621459.2017.1409122> for more detail.
Author: Bochao Jia [ctb, aut, cre, cph], Faming Liang [ctb], Robert Gentleman [cph], Ross Ihaka [cph], The R Core Team [cph]
Maintainer: Bochao Jia <jbc409@ufl.edu>

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Package arsenal updated to version 1.0.0 with previous version 0.6.1 dated 2017-12-08

Title: An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
Description: An Arsenal of 'R' functions for large-scale statistical summaries, which are streamlined to work within the latest reporting tools in 'R' and 'RStudio' and which use formulas and versatile summary statistics for summary tables and models. The primary functions include tableby(), a Table-1-like summary of multiple variable types 'by' the levels of a categorical variable; modelsum(), which performs simple model fits on the same endpoint for many variables (univariate or adjusted for standard covariates); freqlist(), a powerful frequency table across many categorical variables; compare.data.frame(), the S3 method for comparing data.frames; and write2(), a function to output tables to a document.
Author: Ethan Heinzen [aut, cre], Jason Sinnwell [aut], Elizabeth Atkinson [aut], Tina Gunderson [aut], Gregory Dougherty [aut], Patrick Votruba [ctb], Ryan Lennon [ctb], Andrew Hanson [ctb], Krista Goergen [ctb], Emily Lundt [ctb], Brendan Broderick [ctb]
Maintainer: Ethan Heinzen <heinzen.ethan@mayo.edu>

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Package antitrust updated to version 0.98 with previous version 0.95.1 dated 2015-11-23

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

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Package wrswoR updated to version 1.1 with previous version 1.0-1 dated 2016-03-03

Title: Weighted Random Sampling without Replacement
Description: A collection of implementations of classical and novel algorithms for weighted sampling without replacement.
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package viridis updated to version 0.5.0 with previous version 0.4.1 dated 2018-01-08

Title: Default Color Maps from 'matplotlib'
Description: Implementation of the 'viridis' - the default -, 'magma', 'plasma', 'inferno', and 'cividis' color maps for 'R'. 'viridis', 'magma', 'plasma', and 'inferno' are ported from 'matplotlib' <http://matplotlib.org/>, a popular plotting library for 'python'. 'cividis', was developed by Jamie R. Nuñez and Sean M. Colby. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness (all color maps in this package) and color vision deficiency ('cividis' only).
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph], Marco Sciaini [ctb, cph], Cédric Scherer [ctb, cph]
Maintainer: Simon Garnier <garnier@njit.edu>

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Package SpaDES.addins updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-02

Title: Development Tools for 'SpaDES' and 'SpaDES' Modules
Description: Provides 'RStudio' addins for 'SpaDES' packages and 'SpaDES' module development. See '?SpaDES.addins' for an overview of the tools provided.
Author: Alex M Chubaty [aut, cre], Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <alex.chubaty@gmail.com>

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Package RBesT updated to version 1.3-3 with previous version 1.3-2 dated 2018-01-25

Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases).
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Trustees of Columbia University [cph] (src/init.cpp, tools/make_cpp.R, R/stanmodels.R)
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

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Package pipeGS updated to version 0.4 with previous version 0.3 dated 2017-11-25

Title: Permutation p-Value Estimation for Gene Set Tests
Description: Code for various permutation p-values estimation methods for gene set test. The description of corresponding methods can be found in the dissertation of Yu He(2016) "Efficient permutation P-value estimation for gene set tests" <https://searchworks.stanford.edu/view/11849351>. One of the methods also corresponds to the paper "Permutation p-value approximation via generalized Stolarsky invariance" <arXiv:1603.02757>.
Author: Hera He <njheyu@gmail.com>
Maintainer: Hera He <njheyu@gmail.com>

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Package openssl updated to version 1.0 with previous version 0.9.9 dated 2017-11-10

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH pubkey parsers. Supports RSA, DSA and EC curves P-256, P-384 and P-521. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [cre, aut], Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package msm updated to version 1.6.6 with previous version 1.6.5 dated 2017-12-05

Title: Multi-State Markov and Hidden Markov Models in Continuous Time
Description: Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
Author: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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Package HEMDAG updated to version 2.0.1 with previous version 2.0.0 dated 2018-01-23

Title: Hierarchical Ensemble Methods for Directed Acyclic Graphs
Description: An implementation of Hierarchical Ensemble Methods for Directed Acyclic Graphs (DAGs). The 'HEMDAG' package can be used to enhance the predictions of virtually any flat learning methods, by taking into account the hierarchical nature of the classes of a bio-ontology. 'HEMDAG' is specifically designed for exploiting the hierarchical relationships of DAG-structured taxonomies, such as the Human Phenotype Ontology (HPO) or the Gene Ontology (GO), but it can be also safely applied to tree-structured taxonomies (as FunCat), since trees are DAGs. 'HEMDAG' scale nicely both in terms of the complexity of the taxonomy and in the cardinality of the examples. (Marco Notaro, Max Schubach, Peter N. Robinson and Giorgio Valentini (2017) <doi:10.1186/s12859-017-1854-y>).
Author: Marco Notaro [aut, cre] and Giorgio Valentini [aut] (AnacletoLab, Dipartimento di Informatica, Universita' degli Studi di Milano)
Maintainer: Marco Notaro <marco.notaro@unimi.it>

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Package GWASinlps updated to version 1.1 with previous version 1.0 dated 2017-11-10

Title: Nonlocal Prior Based Iterative SNP Selection Tool for Genome-Wide Association Studies
Description: Performs variable selection with data from Genome-wide association studies (GWAS) combining, in an iterative variable selection framework, the computational efficiency of the screen-and-select approach based on some association learning and the parsimonious uncertainty quantification provided by the use of nonlocal priors, as described in Sanyal et al. (2018) [submitted].
Author: Nilotpal Sanyal [aut, cre]
Maintainer: Nilotpal Sanyal <nisanyal@ucsd.edu>

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Package gcite updated to version 0.9.2 with previous version 0.8.1 dated 2017-10-10

Title: Google Citation Parser
Description: Scrapes Google Citation pages and creates data frames of citations over time.
Author: John Muschelli
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package ChannelAttribution updated to version 1.11 with previous version 1.10 dated 2016-12-07

Title: Markov Model for the Online Multi-Channel Attribution Problem
Description: Advertisers use a variety of online marketing channels to reach consumers and they want to know the degree each channel contributes to their marketing success. It's called the online multi-channel attribution problem. This package contains a probabilistic algorithm for the attribution problem. The model uses a k-order Markov representation to identifying structural correlations in the customer journey data. The package also contains three heuristic algorithms (first-touch, last-touch and linear-touch approach) for the same problem. The algorithms are implemented in C++.
Author: Davide Altomare, David Loris
Maintainer: Davide Altomare <davide.altomare@gmail.com>

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Package cellWise updated to version 2.0.8 with previous version 2.0.7 dated 2018-02-01

Title: Analyzing Data with Cellwise Outliers
Description: Tools for detecting cellwise outliers and robust methods to analyze data which may contain them.
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut], Wannes Van den Bossche [aut]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>

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Package adegenet updated to version 2.1.1 with previous version 2.1.0 dated 2017-10-12

Title: Exploratory Analysis of Genetic and Genomic Data
Description: Toolset for the exploration of genetic and genomic data. Adegenet provides formal (S4) classes for storing and handling various genetic data, including genetic markers with varying ploidy and hierarchical population structure ('genind' class), alleles counts by populations ('genpop'), and genome-wide SNP data ('genlight'). It also implements original multivariate methods (DAPC, sPCA), graphics, statistical tests, simulation tools, distance and similarity measures, and several spatial methods. A range of both empirical and simulated datasets is also provided to illustrate various methods.
Author: Thibaut Jombart, Zhian N. Kamvar, Caitlin Collins, Roman Lustrik, Marie- Pauline Beugin, Brian J. Knaus, Peter Solymos, Vladimir Mikryukov, Klaus Schliep, Tiago Maié, Libor Morkovsky, Ismail Ahmed, Anne Cori, Federico Calboli, RJ Ewing
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>

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Package stapler updated to version 0.6.5 with previous version 0.6.3 dated 2017-11-27

Title: Simultaneous Truth and Performance Level Estimation
Description: An implementation of Simultaneous Truth and Performance Level Estimation (STAPLE) <doi:10.1109/TMI.2004.828354>. This method is used when there are multiple raters for an object, typically an image, and this method fuses these ratings into one rating. It uses an expectation-maximization method to estimate this rating and the individual specificity/sensitivity for each rater.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package pinnacle.API updated to version 2.3.3 with previous version 2.0.9 dated 2017-06-12

Title: A Wrapper for the Pinnacle API
Description: An interface to the API by Pinnacle that allows Pinnacle customers to interact with the sports market data in R.See <https://www.pinnacle.com/en/api> for more information. The Pinnacle API can be used to place wagers, retrieve line information, retrieve account information.Please be aware that the TOC of Pinnacle apply <https://www.pinnacle.com/en/termsandconditions>. An account with Pinnacle is necessary to use the Pinnacle API.
Author: Nicholas Jhirad, Marco Blume, Aaron Jacobs, Amine Gassem
Maintainer: Marco Blume <marco.blume@pinnaclesports.com>

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Package fslr updated to version 2.17.3 with previous version 2.12 dated 2017-03-06

Title: Wrapper Functions for FSL ('FMRIB' Software Library) from Functional MRI of the Brain ('FMRIB')
Description: Wrapper functions that interface with 'FSL' <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/>, a powerful and commonly-used 'neuroimaging' software, using system commands. The goal is to be able to interface with 'FSL' completely in R, where you pass R objects of class 'nifti', implemented by package 'oro.nifti', and the function executes an 'FSL' command and returns an R object of class 'nifti' if desired.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package fingertipsR updated to version 0.1.4 with previous version 0.1.3 dated 2017-10-05

Title: Fingertips Data for Public Health
Description: Fingertips (<http://fingertips.phe.org.uk/>) contains data for many indicators of public health in England. The underlying data is now more easily accessible by making use of the API.
Author: Sebastian Fox [aut, cre], Julian Flowers [aut, ctb], Crown Copyright 2018 [cph]
Maintainer: Sebastian Fox <sebastian.fox@phe.gov.uk>

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Package bayesImageS updated to version 0.5-1 with previous version 0.5-0 dated 2018-01-26

Title: Bayesian Methods for Image Segmentation using a Potts Model
Description: Various algorithms for segmentation of 2D and 3D images, such as computed tomography and satellite remote sensing. This package implements Bayesian image analysis using the hidden Potts model with external field prior of <doi:10.1016/j.csda.2014.12.001>. Latent labels are sampled using chequerboard updating or Swendsen-Wang. Algorithms for the smoothing parameter include pseudolikelihood, path sampling, the exchange algorithm, approximate Bayesian computation (ABC-MCMC and ABC-SMC), and Bayesian indirect likelihood (BIL). Refer to <doi:10.1007/s11222-014-9525-6> and <arXiv:1503.08066> for further details.
Author: Matt Moores [aut, cre] (<https://orcid.org/0000-0003-4531-3572>), Kerrie Mengersen [aut, ths] (<https://orcid.org/0000-0001-8625-9168>), Dai Feng [ctb]
Maintainer: Matt Moores <M.T.Moores@warwick.ac.uk>

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Package covatest updated to version 1.0.0 with previous version 0.3.0 dated 2017-11-17

Title: Tests on Properties of Space-Time Covariance Functions
Description: Tests on properties of space-time covariance functions. Tests on symmetry, separability and for assessing different forms of non-separability are available. Moreover tests on some classes of covariance functions, such that the classes of product-sum models, Gneiting models and integrated product models have been provided.
Author: Sandra De Iaco [aut, cre], Claudia Cappello [aut], Donato Posa [aut], Sabrina Maggio [ctb]
Maintainer: Sandra De Iaco <sandra.deiaco@unisalento.it>

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Package miic updated to version 1.0.3 with previous version 1.0.1 dated 2017-12-05

Title: Learning Causal or Non-Causal Graphical Models Using Information Theory
Description: We report an information-theoretic method which learns a large class of causal or non-causal graphical models from purely observational data, while including the effects of unobserved latent variables, commonly found in many datasets. Starting from a complete graph, the method iteratively removes dispensable edges, by uncovering significant information contributions from indirect paths, and assesses edge-specific confidences from randomization of available data. The remaining edges are then oriented based on the signature of causality in observational data. This approach can be applied on a wide range of datasets and provide new biological insights on regulatory networks from single cell expression data, genomic alterations during tumor development and co-evolving residues in protein structures. For more information you can refer to: Verny et al. Plos Comput Biol. (2017) <doi:10.1371/journal.pcbi.1005662>.
Author: Nadir Sella [aut, cre], Louis Verny [aut], Severine Affeldt [aut], Hervé Isambert [aut]
Maintainer: Nadir Sella <nadir.sella@curie.fr>

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Package bigsnpr (with last version 0.2.4) was removed from CRAN

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

2018-02-01 0.2.4

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Package huxtable (with last version 2.0.0) was removed from CRAN

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

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Package bigstatsr (with last version 0.2.4) was removed from CRAN

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

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Package detzrcr updated to version 0.2.1 with previous version 0.2.0 dated 2017-06-13

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

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Package mlmm (with last version 1.5.0) was removed from CRAN

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