Tue, 19 Sep 2017

Package tuber updated to version 0.9.1 with previous version 0.9.0 dated 2017-05-28

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]
Maintainer: Gaurav Sood <gsood07@gmail.com>

Diff between tuber versions 0.9.0 dated 2017-05-28 and 0.9.1 dated 2017-09-19

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Package selectiveInference updated to version 1.2.3 with previous version 1.2.2 dated 2017-01-16

Title: Tools for Post-Selection Inference
Description: New tools for post-selection inference, for use with forward stepwise regression, least angle regression, the lasso, and the many means problem. The lasso function implements Gaussian, logistic and Cox survival models.
Author: Ryan Tibshirani, Rob Tibshirani, Jonathan Taylor, Joshua Loftus, Stephen Reid
Maintainer: Rob Tibshirani <tibs@stanford.edu>

Diff between selectiveInference versions 1.2.2 dated 2017-01-16 and 1.2.3 dated 2017-09-19

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Package pomp updated to version 1.15 with previous version 1.14 dated 2017-08-23

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for working with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Daniel C. Reuman [ctb], Helen Wearing [ctb], Simon N. Wood [ctb], Sebastian Funk [ctb], Steven G. Johnson [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>

Diff between pomp versions 1.14 dated 2017-08-23 and 1.15 dated 2017-09-19

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Package ggeffects updated to version 0.2.2 with previous version 0.2.1 dated 2017-08-22

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are 'ggpredict()' and 'ggaverage()', however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic 'plot()'-method to plot the results using 'ggplot2'.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between ggeffects versions 0.2.1 dated 2017-08-22 and 0.2.2 dated 2017-09-19

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Package Inventorymodel updated to version 1.0.5 with previous version 1.0.4 dated 2017-05-11

Title: Inventory Models
Description: Determination of the optimal policy in inventory problems from a game-theoretic perspective.
Author: Alejandro Saavedra Nieves
Maintainer: Alejandro Saavedra Nieves <alejandro.saavedra.nieves@gmail.com>

Diff between Inventorymodel versions 1.0.4 dated 2017-05-11 and 1.0.5 dated 2017-09-19

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Package ICCbin updated to version 1.1 with previous version 1.0 dated 2016-12-11

Title: Facilitates Clustered Binary Data Generation, and Estimation of Intracluster Correlation Coefficient (ICC) for Binary Data
Description: Assists in generating binary clustered data, estimates of Intracluster Correlation coefficient (ICC) for binary response in 16 different methods, and 5 different types of confidence intervals.
Author: Akhtar Hossain [aut, cre], Hrishikesh Chakraborty [aut]
Maintainer: Akhtar Hossain <mhossain@email.sc.edu>

Diff between ICCbin versions 1.0 dated 2016-12-11 and 1.1 dated 2017-09-19

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Package sure updated to version 0.2.0 with previous version 0.1.2 dated 2017-08-20

Title: Surrogate Residuals for Ordinal and General Regression Models
Description: An implementation of the surrogate approach to residuals and diagnostics for ordinal and general regression models; for details, see Liu and Zhang (2017) <doi:10.1080/01621459.2017.1292915>. These residuals can be used to construct standard residual plots for model diagnostics (e.g., residual-vs-fitted value plots, residual-vs-covariate plots, Q-Q plots, etc.). The package also provides an 'autoplot' function for producing standard diagnostic plots using 'ggplot2' graphics. The package currently supports cumulative link models from packages 'MASS', 'ordinal', 'rms', and 'VGAM'. Support for binary regression models using the standard 'glm' function is also available.
Author: Brandon Greenwell [aut, cre], Andrew McCarthy [aut], Brad Boehmke [aut], Dungang Liu [ctb]
Maintainer: Brandon Greenwell <greenwell.brandon@gmail.com>

Diff between sure versions 0.1.2 dated 2017-08-20 and 0.2.0 dated 2017-09-19

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 25 files changed, 602 insertions(+), 436 deletions(-)

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New package CMatching with initial version 1.0
Package: CMatching
Title: Matching Algorithms for Causal Inference with Clustered Data
Version: 1.0
Authors@R: c(person("Massimo", "Cannas", role = c("aut", "cre"), email = "massimo.cannas@unica.it"), person("Elena", "Colicino", role = "ctb", email = "elena.colicino@mssm.edu"))
Date: 2017-08-31
Author: Massimo Cannas [aut, cre], Elena Colicino [ctb]
Maintainer: Massimo Cannas <massimo.cannas@unica.it>
Description: Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) <doi:10.1002/sim.6880>. Pure within-cluster and preferential-within cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.
Depends: R (>= 2.6.0), Matching
Imports: stats,lmtest,multiwayvcov,lme4
Suggests: MASS
LazyData: false
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-09-19 12:46:20 UTC; massimo
Repository: CRAN
Date/Publication: 2017-09-19 17:30:32 UTC

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Package QuantTools updated to version 0.5.6 with previous version 0.5.5 dated 2017-05-19

Title: Enhanced Quantitative Trading Modelling
Description: Download and organize historical market data from multiple sources like Yahoo (<https://finance.yahoo.com>), Google (<https://www.google.com/finance>), Finam (<https://www.finam.ru/profile/moex-akcii/sberbank/export/>), MOEX (<https://www.moex.com/en/derivatives/contracts.aspx>) and IQFeed (<https://www.iqfeed.net/symbolguide/index.cfm?symbolguide=lookup>). Code your trading algorithms in modern C++11 with powerful event driven tick processing API including trading costs and exchange communication latency and transform detailed data seamlessly into R. In just few lines of code you will be able to visualize every step of your trading model from tick data to multi dimensional heat maps.
Author: Stanislav Kovalevsky
Maintainer: Stanislav Kovalevsky <so.kovalevsky@gmail.com>

Diff between QuantTools versions 0.5.5 dated 2017-05-19 and 0.5.6 dated 2017-09-19

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 32 files changed, 1038 insertions(+), 367 deletions(-)

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New package predtoolsTS with initial version 0.1.0
Package: predtoolsTS
Type: Package
Title: Time Series Prediction
Version: 0.1.0
Author: Alberto Vico Moreno
Maintainer: Alberto Vico Moreno <avm00016@red.ujaen.es>
Description: Makes the time series prediction easier by automatizing this process using four main functions: prep(), modl(), pred() and postp(). Features different preprocessing methods to homogenize variance and to remove trend and seasonality. Also has the potential to bring together different predictive models to make comparatives. Features ARIMA and Data Mining Regression models (using caret).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: caret, forecast, graphics, methods, Metrics, stats, TSPred, tseries, utils
NeedsCompilation: no
Packaged: 2017-09-19 16:00:57 UTC; Alberto Vico Moreno
Repository: CRAN
Date/Publication: 2017-09-19 17:25:50 UTC

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Package coneproj updated to version 1.12 with previous version 1.11 dated 2016-09-01

Title: Primal or Dual Cone Projections with Routines for Constrained Regression
Description: Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems.
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <liaoxiyue2011@gmail.com>

Diff between coneproj versions 1.11 dated 2016-09-01 and 1.12 dated 2017-09-19

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Package candisc updated to version 0.8-0 with previous version 0.7-2 dated 2016-11-10

Title: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Description: Functions for computing and visualizing generalized canonical discriminant analyses and canonical correlation analysis for a multivariate linear model. Traditional canonical discriminant analysis is restricted to a one-way 'MANOVA' design and is equivalent to canonical correlation analysis between a set of quantitative response variables and a set of dummy variables coded from the factor variable. The 'candisc' package generalizes this to higher-way 'MANOVA' designs for all factors in a multivariate linear model, computing canonical scores and vectors for each term. The graphic functions provide low-rank (1D, 2D, 3D) visualizations of terms in an 'mlm' via the 'plot.candisc' and 'heplot.candisc' methods. Related plots are now provided for canonical correlation analysis when all predictors are quantitative.
Author: Michael Friendly [aut, cre], John Fox [aut]
Maintainer: Michael Friendly <friendly@yorku.ca>

Diff between candisc versions 0.7-2 dated 2016-11-10 and 0.8-0 dated 2017-09-19

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New package Brundle with initial version 1.0.5
Package: Brundle
Type: Package
Title: Normalisation Tools for Inter-Condition Variability of ChIP-Seq Data
Version: 1.0.5
Author: Andrew N Holding
Maintainer: Andrew N Holding <andrew.holding@cruk.cam.ac.uk>
Description: Inter-sample condition variability is a key challenge of normalising ChIP-seq data. This implementation uses either spike-in or a second factor as a control for normalisation. Input can either be from 'DiffBind' or a matrix formatted for 'DESeq2'. The output is either a 'DiffBind' object or the default 'DESeq2' output. Either can then be processed as normal. Supporting manuscript Guertin, Markowetz and Holding (2017) <doi:10.1101/182261>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: DiffBind, Rsamtools, DESeq2, lattice, stats, utils, graphics
RoxygenNote: 6.0.1
biocViews: Software, Technology, Sequencing, ChIPSeq
NeedsCompilation: no
Packaged: 2017-09-19 12:55:40 UTC; holdin01
Repository: CRAN
Date/Publication: 2017-09-19 17:27:55 UTC

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Package BayesVarSel updated to version 1.7.1 with previous version 1.7.0 dated 2016-11-18

Title: Bayes Factors, Model Choice and Variable Selection in Linear Models
Description: Conceived to calculate Bayes factors in linear models and then to provide a formal Bayesian answer to testing and variable selection problems. From a theoretical side, the emphasis in this package is placed on the prior distributions and it allows a wide range of them: Jeffreys (1961); Zellner and Siow(1980)<DOI:10.1007/bf02888369>; Zellner and Siow(1984); Zellner (1986)<DOI:10.2307/2233941>; Fernandez et al. (2001)<DOI:10.1016/S0304-4076(00)00076-2>; Liang et al. (2008)<DOI:10.1198/016214507000001337> and Bayarri et al. (2012)<DOI:10.1214/12-aos1013>. The interaction with the package is through a friendly interface that syntactically mimics the well-known lm() command of R. The resulting objects can be easily explored providing the user very valuable information (like marginal, joint and conditional inclusion probabilities of potential variables; the highest posterior probability model, HPM; the median probability model, MPM) about the structure of the true -data generating- model. Additionally, this package incorporates abilities to handle problems with a large number of potential explanatory variables through parallel and heuristic versions of the main commands, Garcia-Donato and Martinez-Beneito (2013)<DOI:10.1080/01621459.2012.742443>.
Author: Gonzalo Garcia-Donato and Anabel Forte
Maintainer: Anabel Forte <anabel.forte@uv.es>

Diff between BayesVarSel versions 1.7.0 dated 2016-11-18 and 1.7.1 dated 2017-09-19

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Package sparklyr updated to version 0.6.3 with previous version 0.6.2 dated 2017-08-13

Title: R Interface to Apache Spark
Description: R interface to Apache Spark, a fast and general engine for big data processing, see <http://spark.apache.org>. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.
Author: Javier Luraschi [aut, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph], The Apache Software Foundation [aut, cph]
Maintainer: Javier Luraschi <javier@rstudio.com>

Diff between sparklyr versions 0.6.2 dated 2017-08-13 and 0.6.3 dated 2017-09-19

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Package sjlabelled updated to version 1.0.3 with previous version 1.0.2 dated 2017-09-11

Title: Labelled Data Utility Functions
Description: Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and vice versa), or to deal with multiple declared missing values.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package rmumps updated to version 5.1.1-3 with previous version 5.1.1-2 dated 2017-07-08

Title: Wrapper for MUMPS Library
Description: Some basic features of MUMPS (Multifrontal Massively Parallel sparse direct Solver) are wrapped in a class whose methods can be used for sequentially solving a sparse linear system (symmetric or not) with one or many right hand sides (dense or sparse). There is a possibility to do separately symbolic analysis, LU (or LDL^t) factorization and system solving.
Author: Serguei Sokol
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package qvcalc updated to version 0.9-1 with previous version 0.9-0 dated 2016-03-30

Title: Quasi Variances for Factor Effects in Statistical Models
Description: Functions to compute quasi variances and associated measures of approximation error.
Author: David Firth
Maintainer: David Firth <d.firth@warwick.ac.uk>

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Package nowcasting updated to version 0.0.90 with previous version 0.0.82 dated 2017-08-18

Title: Nowcast Analysis and Create Real-Time Data Basis
Description: Methods and tools for 'forecast' the current state (nowcast) of Brazilian economic time series. It allows: extract information in real time, creating a real time data base; estimate relationship between macroeconomic variables via dynamic factors; forecast time series in previous periods of reference; forecast time series in the current period of reference (nowcasting); recreate a data base simulating the information available in the past for evaluating forecasting models accuracy (pseudo real-time data base).
Author: Guilherme Branco Gomes [aut, cre], Pedro Costa Ferreira [aut], Daiane Mattos [aut]
Maintainer: Guilherme Branco Gomes <guilherme.branco@fgv.br>

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Package lgtdl updated to version 1.1.5 with previous version 1.1.4 dated 2017-01-16

Title: A Set of Methods for Longitudinal Data Objects
Description: A very simple implementation of a class for longitudinal data.
Author: R. Gentleman
Maintainer: Arthur Allignol <arthur.allignol@gmail.com>

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Package fingerprint updated to version 3.5.6 with previous version 3.5.4 dated 2016-11-12

Title: Functions to Operate on Binary Fingerprint Data
Description: Functions to manipulate binary fingerprints of arbitrary length. A fingerprint is represented by an object of S4 class 'fingerprint' which is internally represented a vector of integers, such that each element represents the position in the fingerprint that is set to 1. The bitwise logical functions in R are overridden so that they can be used directly with 'fingerprint' objects. A number of distance metrics are also available (many contributed by Michael Fadock). Fingerprints can be converted to Euclidean vectors (i.e., points on the unit hypersphere) and can also be folded using OR. Arbitrary fingerprint formats can be handled via line handlers. Currently handlers are provided for CDK, MOE and BCI fingerprint data.
Author: Rajarshi Guha <rajarshi.guha@gmail.com>
Maintainer: Rajarshi Guha <rajarshi.guha@gmail.com>

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Package cartography updated to version 2.0.0 with previous version 1.4.2 dated 2017-03-29

Title: Thematic Cartography
Description: Create and integrate maps in your R workflow. This package allows various cartographic representations such as proportional symbols, chroropleth, typology, flows or discontinuities maps. It also offers several features enhancing the graphic presentation of maps like cartographic palettes, layout elements (scale, north arrow, title...), labels, legends or access to some cartographic APIs. See Giraud and Lambert (2017) <doi:10.1007/978-3-319-57336-6_13>.
Author: Timothée Giraud [cre, aut], Nicolas Lambert [aut], Ian Fellows [cph] (no overlap algorithm for labels, from wordcloud package)
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

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Package GSMX updated to version 1.2 with previous version 1.1 dated 2017-07-24

Title: Multivariate Genomic Selection
Description: Estimating trait heritability and handling overfitting. This package includes a collection of functions for (1) estimating genetic variance-covariances and calculate trait heritability; and (2) handling overfitting by calculating the variance components and the heritability through cross validation.
Author: Zhenyu Jia
Maintainer: Zhenyu Jia <ajia.ucr@gmail.com>

Diff between GSMX versions 1.1 dated 2017-07-24 and 1.2 dated 2017-09-19

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Package speaq updated to version 2.1.0 with previous version 2.0.0 dated 2017-05-16

Title: Tools for Nuclear Magnetic Resonance (NMR) Spectra Alignment, Peak Based Processing, Quantitative Analysis and Visualizations
Description: Makes Nuclear Magnetic Resonance spectroscopy (NMR spectroscopy) data analysis as easy as possible by only requiring a small set of functions to perform an entire analysis. 'speaq' offers the possibility of raw spectra alignment and quantitation but also an analysis based on features whereby the spectra are converted to peaks which are then grouped and turned into features. These features can be processed with any number of statistical tools either included in 'speaq' or available elsewhere on CRAN. More detail can be found in <doi:10.1186/1471-2105-12-405> and <doi:10.1101/138503>.
Author: Charlie Beirnaert, Trung Nghia Vu, Pieter Meysman, Kris Laukens and Dirk Valkenborg
Maintainer: Charlie Beirnaert <charlie_beirnaert@icloud.com>

Diff between speaq versions 2.0.0 dated 2017-05-16 and 2.1.0 dated 2017-09-19

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New package manet with initial version 1.0
Package: manet
Title: Multiple Allocation Model for Actor-Event Networks
Version: 1.0
Authors@R: c(person("Saverio", "Ranciati", email = "sav.ranciati@gmail.com", role = "aut"),person("Veronica", "Vinciotti", email = "veronica.vinciotti@brunel.ac.uk", role = "cre"),person("Ernst", "Wit", email = "e.c.wit@rug.nl", role = "aut"))
Description: Mixture model with overlapping clusters for binary actor-event data. Parameters are estimated in a Bayesian framework. Model and inference are described in Ranciati, Vinciotti, Wit (2017) Modelling actor-event network data via a mixture model under overlapping clusters. Submitted.
Depends: R (>= 3.3.3), MCMCpack, combinat, igraph
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-19 10:12:38 UTC; mastvvv
Author: Saverio Ranciati [aut], Veronica Vinciotti [cre], Ernst Wit [aut]
Maintainer: Veronica Vinciotti <veronica.vinciotti@brunel.ac.uk>
Repository: CRAN
Date/Publication: 2017-09-19 10:26:59 UTC

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New package gma with initial version 1.0
Package: gma
Type: Package
Title: Granger Mediation Analysis
Version: 1.0
Date: 2018-08-23
Author: Yi Zhao <zhaoyi1026@gmail.com>, Xi Luo <xi.rossi.luo@gmail.com>
Maintainer: Yi Zhao <zhaoyi1026@gmail.com>
Description: Performs Granger mediation analysis (GMA) for time series. This package includes a single level GMA model and a two-level GMA model, for time series with hierarchically nested structure. The single level GMA model for the time series of a single participant performs the causal mediation analysis which integrates the structural equation modeling and the Granger causality frameworks. A vector autoregressive model of order p is employed to account for the spatiotemporal dependencies in the data. Meanwhile, the model introduces the unmeasured confounding effect through a nonzero correlation parameter. Under the two-level model, by leveraging the variabilities across participants, the parameters are identifiable and consistently estimated based on a full conditional likelihood or a two-stage method. See Zhao, Y., & Luo, X. (2017), Granger Mediation Analysis of Multiple Time Series with an Application to fMRI, <arXiv:1709.05328> for details.
License: GPL (>= 2)
Depends: MASS, nlme, car
NeedsCompilation: no
Packaged: 2017-09-18 14:14:15 UTC; yizhao
Repository: CRAN
Date/Publication: 2017-09-19 10:07:35 UTC

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New package EQUIVNONINF with initial version 1.0
Package: EQUIVNONINF
Type: Package
Title: Testing for Equivalence and Noninferiority
Version: 1.0
Date: 2017-09-12
Author: Stefan Wellek, Peter Ziegler
Maintainer: Stefan Wellek <stefan.wellek@zi-mannheim.de>
Description: Making available in R the complete set of programs accompanying S. Wellek's (2010) monograph ''Testing Statistical Hypotheses of Equivalence and Noninferiority. Second Edition'' (Chapman&Hall/CRC).
License: CC0
Depends: R (>= 3.0.0), stats, BiasedUrn
NeedsCompilation: no
Packaged: 2017-09-18 13:56:16 UTC; ziegler
Repository: CRAN
Date/Publication: 2017-09-19 10:23:41 UTC

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New package kpeaks with initial version 0.1.0
Package: kpeaks
Type: Package
Title: Determination of K Using Peak Counts of Features for Clustering
Version: 0.1.0
Date: 2017-09-17
Authors@R: c(person("Zeynel", "Cebeci", email = "zcebeci@cukurova.edu.tr", role = c("aut", "cre")), person("Cagatay","Cebeci", role = "aut", email = "cagataycebeci@gmail.com"))
Author: Zeynel Cebeci [aut, cre], Cagatay Cebeci [aut]
Maintainer: Zeynel Cebeci <zcebeci@cukurova.edu.tr>
Description: The input argument k which is the number of clusters is needed to start all of the partitioning clustering algorithms. In unsupervised learning applications, an optimal value of this argument is widely determined by using the internal validity indexes. Since these indexes suggest a k value which is computed on the clustering results after several runs of a clustering algorithm they are computationally expensive. On the contrary, 'kpeaks' enables to estimate k before running any clustering algorithm. It is based on a simple novel technique using the descriptive statistics of peak counts of the features in a data set.
Depends: R (>= 2.10.0)
License: GPL (>= 2)
LazyData: true
Imports: graphics, stats, utils
NeedsCompilation: no
Packaged: 2017-09-17 17:29:04 UTC; user1
Repository: CRAN
Date/Publication: 2017-09-19 09:37:37 UTC

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New package importar with initial version 0.1.0
Package: importar
Type: Package
Title: Enables Importing/Loadig of Packages or Functions While Creating an Alias for Them
Version: 0.1.0
Author: Andrea Cantieni
Maintainer: Andrea Cantieni <andrea.cantieni@phsz.ch>
Description: Enables 'Python'-like importing/loading of packages or functions with aliasing to prevent namespace conflicts.
URL: https://github.com/andreaphsz/importar
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: dplyr
Imports: utils
NeedsCompilation: no
Packaged: 2017-09-18 13:53:27 UTC; phsz
Repository: CRAN
Date/Publication: 2017-09-19 09:29:33 UTC

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New package IGP with initial version 0.1.0
Package: IGP
Type: Package
Title: Interchangeable Gaussian Process Models
Version: 0.1.0
Authors@R: c( person("Collin", "Erickson", email = "collinberickson@gmail.com", role = c("aut", "cre")) )
Description: Creates a Gaussian process model using the specified package. Makes it easy to try different packages in same code, only the package argument needs to be changed. It is essentially a wrapper for the other Gaussian process software packages.
License: GPL-3
LazyData: TRUE
Imports: R6, PythonInR
Suggests: GPfit, laGP, mlegp, tgp, DiceKriging, GauPro, testthat, lhs, ggplot2, reshape, numDeriv
RoxygenNote: 6.0.1
URL: https://github.com/CollinErickson/IGP
BugReports: https://github.com/CollinErickson/IGP/issues
NeedsCompilation: no
Packaged: 2017-09-19 03:01:05 UTC; cbe117
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-19 09:50:45 UTC

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Package CluMix updated to version 2.1 with previous version 2.0 dated 2017-05-16

Title: Clustering and Visualization of Mixed-Type Data
Description: Provides utilities for clustering subjects and variables of mixed data types. Similarities between subjects are measured by Gower's general similarity coefficient with an extension of Podani for ordinal variables. Similarities between variables can be assessed i) by combination of appropriate measures of association for different pairs of data types or ii) based on distance correlation. Alternatively, variables can also be clustered by the 'ClustOfVar' approach. The main feature of the package is the generation of a mixed-data heatmap. For visualizing similarities between either subjects or variables, a heatmap of the corresponding distance matrix can be drawn. Associations between variables can be explored by a 'confounder plot', which allows visual detection of possible confounding, collinear, or surrogate factors for some variables of primary interest. Distance matrices and dendrograms for subjects and variables can be derived and used for further visualizations and applications. This work was supported by BMBF grant 01ZX1609B, Germany.
Author: M. Hummel, D. Edelmann, A. Kopp-Schneider
Maintainer: Manuela Hummel <m.hummel@dkfz.de>

Diff between CluMix versions 2.0 dated 2017-05-16 and 2.1 dated 2017-09-19

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New package SiER with initial version 0.1.0
Package: SiER
Type: Package
Title: Signal Extraction Approach for Sparse Multivariate Response Regression
Version: 0.1.0
Author: Ruiyan, Xin Qi
Maintainer: Ruiyan Luo <rluo@gsu.edu>
Description: Methods for regression with high-dimensional predictors and univariate or maltivariate response variables. It considers the decomposition of the coefficient matrix that leads to the best approximation to the signal part in the response given any rank, and estimates the decomposition by solving a penalized generalized eigenvalue problem followed by a least squares procedure. Ruiyan Luo and Xin Qi (2017) <doi:10.1016/j.jmva.2016.09.005>.
License: GPL-2
LazyData: TRUE
Suggests: MASS
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-09-18 14:59:04 UTC; Ruiyan
Repository: CRAN
Date/Publication: 2017-09-19 08:50:24 UTC

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Package rsparkling updated to version 0.2.2 with previous version 0.2.1 dated 2017-06-30

Title: R Interface for H2O Sparkling Water
Description: An extension package for 'sparklyr' that provides an R interface to H2O Sparkling Water machine learning library (see <https://github.com/h2oai/sparkling-water> for more information).
Author: JJ Allaire [aut], Erin LeDell [aut], Michal Malohlava [aut], Navdeep Gill [aut, cre], Jakub Hava [aut], RStudio [cph], H2O.ai [cph]
Maintainer: Navdeep Gill <navdeep@h2o.ai>

Diff between rsparkling versions 0.2.1 dated 2017-06-30 and 0.2.2 dated 2017-09-19

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Package GSODR updated to version 1.0.6 with previous version 1.0.5 dated 2017-08-18

Title: Global Summary Daily Weather Data in R
Description: Provides automated downloading, parsing, cleaning, unit conversion and formatting of Global Surface Summary of the Day (GSOD) weather data from the from the USA National Centers for Environmental Information (NCEI) for use in R. Units are converted from from United States Customary System (USCS) units to International System of Units (SI). Stations may be individually checked for number of missing days defined by the user, where stations with too many missing observations are omitted. Only stations with valid reported latitude and longitude values are permitted in the final data. Additional useful elements, saturation vapour pressure (es), actual vapour pressure (ea) and relative humidity are calculated from the original data and included in the final data set. The resulting data include station identification information, state, country, latitude, longitude, elevation, weather observations and associated flags. Data may be automatically saved to disk. File output may be returned as a comma-separated values (CSV) or GeoPackage (GPKG) file. Additional data are included with this R package: a list of elevation values for stations between -60 and 60 degrees latitude derived from the Shuttle Radar Topography Measuring Mission (SRTM). For information on the GSOD data from NCEI, please see the GSOD readme.txt file available from, <http://www1.ncdc.noaa.gov/pub/data/gsod/readme.txt>.
Author: Adam Sparks [aut, cre] (http://orcid.org/0000-0002-0061-8359), Tomislav Hengl [aut] (http://orcid.org/0000-0002-9921-5129), Andrew Nelson [aut] (http://orcid.org/0000-0002-7249-3778)
Maintainer: Adam Sparks <adamhsparks@gmail.com>

Diff between GSODR versions 1.0.5 dated 2017-08-18 and 1.0.6 dated 2017-09-19

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New package fusionclust with initial version 1.0.0
Package: fusionclust
Title: Clustering and Feature Screening using L1 Fusion Penalty
Version: 1.0.0
Authors@R: c(person("Trambak","Banerjee",role=c("aut","cre"), email="trambakb@usc.edu"), person("Gourab","Mukherjee",role="aut",email="gourab@usc.edu"), person("Peter","Radchenko",role="aut",email="peter.radchenko@sydney.edu.au"))
Description: Provides the Big Merge Tracker and COSCI algorithms for convex clustering and feature screening using L1 fusion penalty. See Radchenko, P. and Mukherjee, G. (2017) <doi:10.1111/rssb.12226> and T.Banerjee et al. (2017) <doi:10.1016/j.jmva.2017.08.001> for more details.
Depends: R (>= 3.4.1)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: bbmle, stats, graphics
RoxygenNote: 6.0.1
URL: https://github.com/trambakbanerjee/fusionclust
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-19 01:43:57 UTC; Jolly
Author: Trambak Banerjee [aut, cre], Gourab Mukherjee [aut], Peter Radchenko [aut]
Maintainer: Trambak Banerjee <trambakb@usc.edu>
Repository: CRAN
Date/Publication: 2017-09-19 08:21:58 UTC

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New package curvecomp with initial version 0.1.0
Package: curvecomp
Type: Package
Title: Multiple Curve Comparisons Using Parametric Bootstrap
Version: 0.1.0
Author: Kimihiro Noguchi <kimihiro.noguchi@wwu.edu>
Maintainer: Christopher Murphy <cmurphy0313@gmail.com>
Description: Performs multiple comparison procedures on curve observations among different treatment groups. The methods are applicable in a variety of situations (such as independent groups with equal or unequal sample sizes, or repeated measures) by using parametric bootstrap. References to these procedures can be found at Konietschke, Gel, and Brunner (2014) <doi:10.1090/conm/622/12431> and Westfall (2011) <doi:10.1080/10543406.2011.607751>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: multcomp (>= 0.4-8.0)
RoxygenNote: 5.0.1
Packaged: 2017-09-19 04:23:46 UTC; Chris
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-09-19 08:25:21 UTC

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Package civis updated to version 1.0.1 with previous version 1.0.0 dated 2017-09-16

Title: R Client for the 'Civis data science API'
Description: A set of tools around common workflows and a convenient interface to make requests directly to the 'Civis data science API' <https://www.civisanalytics.com/platform/>.
Author: Patrick Miller [cre, aut], Keith Ingersoll [aut], Bill Lattner [ctb], Anh Le [ctb], Michelangelo D'Agostino [ctb], Sam Weiss [ctb], Danning Chen [ctb]
Maintainer: Patrick Miller <pmiller@civisanalytics.com>

Diff between civis versions 1.0.0 dated 2017-09-16 and 1.0.1 dated 2017-09-19

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New package BMT with initial version 0.1.0.3
Package: BMT
Type: Package
Title: The BMT Distribution
Version: 0.1.0.3
Date: 2017-09-18
Author: Camilo Jose Torres-Jimenez [aut,cre], Alvaro Mauricio Montenegro Diaz [ths]
Maintainer: Camilo Jose Torres-Jimenez <cjtorresj@gmail.com>
Description: Density, distribution, quantile function, random number generation for the BMT (Bezier-Montenegro-Torres) distribution. Torres-Jimenez C.J. and Montenegro-Diaz A.M. (2017) <arXiv:1709.05534>. Moments, descriptive measures and parameter conversion for different parameterizations of the BMT distribution. Fit of the BMT distribution to non-censored data by maximum likelihood, moment matching, quantile matching, maximum goodness-of-fit, also known as minimum distance, maximum product of spacing, also called maximum spacing, and minimum quantile distance, which can also be called maximum quantile goodness-of-fit. Fit of univariate distributions for non-censored data using maximum product of spacing estimation and minimum quantile distance estimation is also included.
License: GPL (>= 2)
Depends: partitions, fitdistrplus
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-19 02:51:31 UTC; cjtorresj
Repository: CRAN
Date/Publication: 2017-09-19 08:43:36 UTC

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New package binaryGP with initial version 0.2
Package: binaryGP
Type: Package
Title: Fit and Predict a Gaussian Process Model with (Time-Series) Binary Response
Version: 0.2
Date: 2017-09-17
Author: Chih-Li Sung
Maintainer: Chih-Li Sung <iamdfchile@gmail.com>
Description: Allows the estimation and prediction for binary Gaussian process model. The mean function can be assumed to have time-series structure. The estimation methods for the unknown parameters are based on penalized quasi-likelihood/penalized quasi-partial likelihood and restricted maximum likelihood. The predicted probability and its confidence interval are computed by Metropolis-Hastings algorithm. More details can be seen in Sung et al (2017) <arXiv:1705.02511>.
License: GPL-2 | GPL-3
LazyData: TRUE
Imports: Rcpp (>= 0.12.0), lhs (>= 0.10), logitnorm (>= 0.8.29), nloptr (>= 1.0.4), GPfit (>= 1.0-0), stats, graphics, utils, methods
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 5.0.1
Depends: R (>= 2.14.1)
NeedsCompilation: yes
Packaged: 2017-09-18 16:24:05 UTC; apple
Repository: CRAN
Date/Publication: 2017-09-19 08:34:21 UTC

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Package Unicode updated to version 10.0.0-1 with previous version 9.0.0-1 dated 2017-01-15

Title: Unicode Data and Utilities
Description: Data from Unicode 10.0.0 and related utilities.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between Unicode versions 9.0.0-1 dated 2017-01-15 and 10.0.0-1 dated 2017-09-19

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Package rglobi updated to version 0.2.10 with previous version 0.2.9 dated 2016-03-08

Title: R Interface to Global Biotic Interactions
Description: A programmatic interface to the web service methods provided by Global Biotic Interactions (GloBI). GloBI provides access to spatial-temporal species interaction records from sources all over the world. rglobi provides methods to search species interactions by location, interaction type, and taxonomic name. In addition, it supports Cypher, a graph query language, to allow for executing custom queries on the GloBI aggregate species interaction data set.
Author: Jorrit Poelen [aut, cre], Stephen Gosnell [aut], Sergey Slyusarev [aut]
Maintainer: Jorrit Poelen <jhpoelen@xs4all.nl>

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Package envDocument updated to version 2.4.0 with previous version 2.3.0 dated 2017-03-12

Title: Document the R Working Environment
Description: Prints out information about the R working environment (system, R version,loaded and attached packages and versions) from a single function "env_doc()". Optionally adds information on git repository, tags, commits and remotes (if available).
Author: Donald Jackson [aut, cre]
Maintainer: Donald Jackson <donald.jackson@bms.com>

Diff between envDocument versions 2.3.0 dated 2017-03-12 and 2.4.0 dated 2017-09-19

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Package COCONUT updated to version 1.0.2 with previous version 1.0.1 dated 2016-06-29

Title: COmbat CO-Normalization Using conTrols (COCONUT)
Description: Allows for pooled analysis of microarray data by batch-correcting control samples, and then applying the derived correction parameters to non-control samples to obtain bias-free, inter-dataset corrected data.
Author: Timothy E Sweeney, MD, PhD [aut,cre]
Maintainer: Timothy E Sweeney <tes17@alumni.stanford.edu>

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Package BNPMIXcluster updated to version 1.2.2 with previous version 1.1.0 dated 2017-08-31

Title: Bayesian Nonparametric Model for Clustering with Mixed Scale Variables
Description: Bayesian nonparametric approach for clustering that is capable to combine different types of variables (continuous, ordinal and nominal) and also accommodates for different sampling probabilities in a complex survey design. The model is based on a location mixture model with a Poisson-Dirichlet process prior on the location parameters of the associated latent variables. The package performs the clustering model described in Carmona, C., Nieto-Barajas, L. E., Canale, A. (2016) <arXiv:1612.00083>.
Author: Christian Carmona [aut, cre], Luis Nieto-Barajas [aut], Antonio Canale [ctb]
Maintainer: Christian Carmona <carmona@stats.ox.ac.uk>

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Package MALDIrppa updated to version 1.0.1 with previous version 1.0.0 dated 2017-07-29

Title: MALDI Mass Spectrometry Data Robust Pre-Processing and Analysis
Description: Provides methods for quality control and robust pre-processing and analysis of MALDI mass spectrometry data.
Author: Javier Palarea-Albaladejo
Maintainer: Javier Palarea-Albaladejo <javier.palarea@bioss.ac.uk>

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Package BioInstaller updated to version 0.2.1 with previous version 0.2.0 dated 2017-07-25

Title: Lightweight Biology Software Installer
Description: Can be used to install and download massive bioinformatics analysis softwares and databases, such as NGS reads mapping tools with its required databases.
Author: Jianfeng Li [aut, cre]
Maintainer: Jianfeng Li <lee_jianfeng@sjtu.edu.cn>

Diff between BioInstaller versions 0.2.0 dated 2017-07-25 and 0.2.1 dated 2017-09-19

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Package rDNA (with last version 1.31) was removed from CRAN

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

2016-07-16 1.31
2013-09-27 1.30.1
2011-10-17 1.29
2011-09-12 1.28
2011-04-13 1.27
2011-04-05 1.26
2011-03-18 1.2
2010-11-23 1.1
2010-11-18 1.0

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Package stochvol updated to version 1.3.3 with previous version 1.3.2 dated 2016-10-26

Title: Efficient Bayesian Inference for Stochastic Volatility (SV) Models
Description: Efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models via Markov chain Monte Carlo (MCMC) methods.
Author: Gregor Kastner [aut, cre]
Maintainer: Gregor Kastner <gregor.kastner@wu.ac.at>

Diff between stochvol versions 1.3.2 dated 2016-10-26 and 1.3.3 dated 2017-09-19

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Package segmented updated to version 0.5-2.2 with previous version 0.5-2.1 dated 2017-06-14

Title: Regression Models with Break-Points / Change-Points Estimation
Description: Given a regression model, segmented `updates' the model by adding one or more segmented (i.e., piece-wise linear) relationships. Several variables with multiple breakpoints are allowed.
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

Diff between segmented versions 0.5-2.1 dated 2017-06-14 and 0.5-2.2 dated 2017-09-19

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Package rmetasim updated to version 3.1.3 with previous version 3.1.2 dated 2017-09-16

Title: An Individual-Based Population Genetic Simulation Environment
Description: An interface between R and the metasim simulation engine. The simulation environment is documented in: "Strand, A.(2002) <DOI:10.1046/j.1471-8286.2002.00208.x> Metasim 1.0: an individual-based environment for simulating population genetics of complex population dynamics. Mol. Ecol. Notes. Please see the vignettes CreatingLandscapes and Simulating to get some ideas on how to use the packages. See the rmetasim vignette to get an overview and to see important changes to the code in the most recent version.
Author: Allan Strand <stranda@cofc.edu>, James Niehaus
Maintainer: Allan Strand <stranda@cofc.edu>

Diff between rmetasim versions 3.1.2 dated 2017-09-16 and 3.1.3 dated 2017-09-19

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Package rgeos updated to version 0.3-24 with previous version 0.3-23 dated 2017-04-06

Title: Interface to Geometry Engine - Open Source ('GEOS')
Description: Interface to Geometry Engine - Open Source ('GEOS') using the C 'API' for topology operations on geometries. The 'GEOS' library is external to the package, and, when installing the package from source, must be correctly installed first. Windows and Mac Intel OS X binaries are provided on 'CRAN'.
Author: Roger Bivand [cre, aut], Colin Rundel [aut], Edzer Pebesma [ctb], Rainer Stuetz [ctb], Karl Ove Hufthammer [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package rgdal updated to version 1.2-11 with previous version 1.2-10 dated 2017-09-15

Title: Bindings for the Geospatial Data Abstraction Library
Description: Provides bindings to the Geospatial Data Abstraction Library ('GDAL') (>= 1.6.3) and access to projection/transformation operations from the 'PROJ.4' library. The 'GDAL' and 'PROJ.4' libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both 'GDAL' raster and 'OGR' vector map data can be imported into R, and 'GDAL' raster data and 'OGR' vector data exported. Use is made of classes defined in the 'sp' package. Windows and Mac Intel OS X binaries (including 'GDAL', 'PROJ.4' and 'Expat') are provided on 'CRAN'.
Author: Roger Bivand [cre, aut], Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package mgcv updated to version 1.8-22 with previous version 1.8-21 dated 2017-09-17

Title: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
Description: Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar. Includes a gam() function, a wide variety of smoothers, JAGS support and distributions beyond the exponential family.
Author: Simon Wood <simon.wood@r-project.org>
Maintainer: Simon Wood <simon.wood@r-project.org>

Diff between mgcv versions 1.8-21 dated 2017-09-17 and 1.8-22 dated 2017-09-19

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Package magicaxis updated to version 2.0.3 with previous version 2.0.1 dated 2017-05-11

Title: Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick Support
Description: Functions to make useful (and pretty) plots for scientific plotting. Additional plotting features are added for base plotting, with particular emphasis on making attractive log axis plots.
Author: Aaron Robotham
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>

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