Fri, 29 Jul 2016

Package visreg updated to version 2.3-0 with previous version 2.2-2 dated 2016-02-06

Title: Visualization of Regression Models
Description: Provides a convenient interface for constructing plots to visualize the fit of regression models arising from a wide variety of models in R ('lm', 'glm', 'coxph', 'rlm', 'gam', 'locfit', 'randomForest', etc.)
Author: Patrick Breheny, Woodrow Burchett
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

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Package toaster updated to version 0.5.2 with previous version 0.5.1 dated 2016-03-23

Title: Big Data in-Database Analytics with Teradata Aster
Description: A consistent set of tools to perform in-database analytics on Teradata Aster Big Data Discovery Platform. toaster (a.k.a 'to Aster') embraces simple 2-step approach: compute in Aster - visualize and analyze in R. Its `compute` functions use combination of parallel SQL, SQL-MR and SQL-GR executing in Aster database - highly scalable parallel and distributed analytical platform. Then `create` functions visualize results with boxplots, scatterplots, histograms, heatmaps, word clouds, maps, networks, or slope graphs. Advanced options such as faceting, coloring, labeling, and others are supported with most visualizations.
Author: Gregory Kanevsky [aut, cre]
Maintainer: Gregory Kanevsky <gregory.kanevsky@teradata.com>

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Package IntNMF updated to version 1.1 with previous version 1.0 dated 2016-04-23

Title: Integrative Clustering of Multiple Genomic Dataset
Description: Carries out integrative clustering analysis using multiple types of genomic dataset.
Author: Prabhakar Chalise, Rama Raghavan, Brooke Fridley
Maintainer: Prabhakar Chalise <pchalise@kumc.edu>

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Package InterSIM updated to version 2.1 with previous version 2.0 dated 2015-12-14

Title: Simulation of Inter-Related Genomic Datasets
Description: Generates three inter-related genomic datasets : methylation, gene expression and protein expression.
Author: Prabhakar Chalise, Rama Raghavan, Brooke Fridley
Maintainer: Prabhakar Chalise <pchalise@kumc.edu>

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Package extraDistr updated to version 1.8.1 with previous version 1.8.0 dated 2016-07-28

Title: Additional Univariate and Multivariate Distributions
Description: Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions.
Author: Tymoteusz Wolodzko
Maintainer: Tymoteusz Wolodzko <twolodzko+extraDistr@gmail.com>

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Package EpiModel updated to version 1.2.7 with previous version 1.2.6 dated 2016-05-24

Title: Mathematical Modeling of Infectious Disease
Description: Tools for simulating mathematical models of infectious disease. Epidemic model classes include deterministic compartmental models, stochastic agent-based models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an easy API for extending these templates to address novel scientific research aims.
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Emily Beylerian [ctb], Skye Bender-deMoll [ctb], Kevis Weiss [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

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Package crawl updated to version 2.0.1 with previous version 2.0 dated 2016-02-26

Title: Fit Continuous-Time Correlated Random Walk Models to Animal Movement Data
Description: The Correlated Random Walk Library of R functions was designed for fitting continuous-time correlated random walk models with time indexed covariates. The model is fit using the Kalman-filter on a state space version of the continuous-time stochastic movement process.
Author: Devin S. Johnson
Maintainer: Devin S. Johnson <devin.johnson@noaa.gov>

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Package rstanarm updated to version 2.11.1 with previous version 2.10.1 dated 2016-06-25

Title: Bayesian Applied Regression Modeling via Stan
Description: Estimates pre-compiled regression models using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation. Users specify models via the customary R syntax with a formula and data.frame plus some additional arguments for priors.
Author: Jonah Gabry [aut], Trustees of Columbia University [cph], R Core Deveopment Team [cph] (R/pp_data.R, R/stan_aov.R), Douglas Bates [cph] (R/pp_data.R), Martin Maechler [cph] (R/pp_data.R), Ben Bolker [cph] (R/pp_data.R), Steve Walker [cph] (R/pp_data.R), Brian Ripley [cph] (R/stan_aov.R, R/stan_polr.R), William Venables [cph] (R/stan_polr.R), Ben Goodrich [cre, aut]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package presens updated to version 2.1.0 with previous version 2.0.0 dated 2016-03-14

Title: Interface for PreSens Fiber Optic Data
Description: Makes output files from select PreSens Fiber Optic Oxygen Transmitters easier to work with in R. See <http://www.presens.de> for more information about PreSens (Precision Sensing GmbH). Note: this package is neither created nor maintained by PreSens.
Author: Matthew A. Birk
Maintainer: Matthew A. Birk <matthewabirk@gmail.com>

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Package onewaytests updated to version 1.2 with previous version 1.1 dated 2015-12-03

Title: One-Way Independent Groups Design
Description: Two or more samples in one-way independent groups design are compared via different tests.
Author: Osman Dag, Anil Dolgun, N. Meric Konar
Maintainer: Osman Dag <osman.dag@hacettepe.edu.tr>

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Package mosaic updated to version 0.14.4 with previous version 0.14 dated 2016-06-16

Title: Project MOSAIC Statistics and Mathematics Teaching Utilities
Description: Data sets and utilities from Project MOSAIC (http://mosaic-web.org) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
Author: Randall Pruim <rpruim@calvin.edu>, Daniel T. Kaplan <kaplan@macalester.edu>, Nicholas J. Horton <nhorton@amherst.edu>
Maintainer: Randall Pruim <rpruim@calvin.edu>

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More information about mosaic at CRAN
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Package emIRT updated to version 0.0.7 with previous version 0.0.6 dated 2016-03-22

Title: EM Algorithms for Estimating Item Response Theory Models
Description: Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models. The current implementation includes IRT models for binary and ordinal responses, along with dynamic and hierarchical IRT models with binary responses. The latter two models are derived and implemented using variational EM. Subsequent edits also include variational network and text scaling models.
Author: Kosuke Imai <kimai@princeton.edu>, James Lo <lojames@usc.edu>, Jonathan Olmsted <jpolmsted@gmail.com>
Maintainer: James Lo <lojames@usc.edu>

Diff between emIRT versions 0.0.6 dated 2016-03-22 and 0.0.7 dated 2016-07-29

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Package DVHmetrics updated to version 0.3.6 with previous version 0.3.5 dated 2016-03-09

Title: Analyze Dose-Volume Histograms and Check Constraints
Description: Functionality for analyzing dose-volume histograms (DVH) in radiation oncology: Read DVH text files, calculate DVH metrics as well as generalized equivalent uniform dose (gEUD), biologically effective dose (BED), equivalent dose in 2 Gy fractions (EQD2), normal tissue complication probability (NTCP), and tumor control probability (TCP). Show DVH diagrams, check and visualize quality assurance constraints for the DVH. Includes web-based graphical user interface.
Author: Daniel Wollschlaeger [aut, cre], Heiko Karle [aut], Heinz Schmidberger [ctb]
Maintainer: Daniel Wollschlaeger <wollschlaeger@uni-mainz.de>

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Package deconstructSigs updated to version 1.8.0 with previous version 1.6.0 dated 2016-01-29

Title: Identifies Signatures Present in a Tumor Sample
Description: Takes sample information in the form of the fraction of mutations in each of 96 trinucleotide contexts and identifies the weighted combination of published signatures that, when summed, most closely reconstructs the mutational profile.
Author: Rachel Rosenthal
Maintainer: Rachel Rosenthal <rachel.rosenthal.14@ucl.ac.uk>

Diff between deconstructSigs versions 1.6.0 dated 2016-01-29 and 1.8.0 dated 2016-07-29

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Package blscrapeR updated to version 0.4.2 with previous version 0.4.1 dated 2016-07-24

Title: An API Wrapper for the Bureau of Labor Statistics (BLS)
Description: Scrapes various data from the Bureau of Labor Statistics, which is the statistical branch of the United States Department of Labor. The package has additional functions to help parse, analyze and visualize the data.
Author: Kris Eberwein [aut, cre]
Maintainer: Kris Eberwein <eberwein@knights.ucf.edu>

Diff between blscrapeR versions 0.4.1 dated 2016-07-24 and 0.4.2 dated 2016-07-29

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Package BayesPiecewiseICAR updated to version 0.1.1 with previous version 0.1.0 dated 2016-07-27

Title: Hierarchical Bayesian Model for a Hazard Function
Description: Fits a piecewise exponential hazard to survival data using a Hierarchical Bayesian model with an Intrinsic Conditional Autoregressive formulation for the spatial dependency in the hazard rates for each piece. This function uses Metropolis- Hastings-Green MCMC to allow the number of split points to vary. This function outputs graphics that display the histogram of the number of split points and the trace plots of the hierarchical parameters. The function outputs a list that contains the posterior samples for the number of split points, the location of the split points, and the log hazard rates corresponding to these splits. Additionally, this outputs the posterior samples of the two hierarchical parameters, Mu and Sigma^2.
Author: person("Andrew", "Chapple", email = "Andrew.G.Chapple@rice.edu", role = c("aut", "cre"))
Maintainer: Andrew Chapple <Andrew.G.Chapple@rice.edu>

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Package oc updated to version 0.96 with previous version 0.95 dated 2014-09-26

Title: OC Roll Call Analysis Software
Description: Estimates Optimal Classification scores from roll call votes supplied though a 'rollcall' object from package 'pscl'.
Author: Keith Poole <ktpoole@uga.edu>, Jeffrey Lewis <jblewis@ucla.edu>, James Lo <lojames@usc.edu> and Royce Carroll <rcarroll@rice.edu>
Maintainer: James Lo <lojames@usc.edu>

Diff between oc versions 0.95 dated 2014-09-26 and 0.96 dated 2016-07-29

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Package MCI updated to version 1.2.0 with previous version 1.1.1 dated 2016-06-29

Title: Multiplicative Competitive Interaction (MCI) Model
Description: The Multiplicative Competitive Interaction (MCI) Model by Nakanishi & Cooper (1974) <DOI:10.2307/3151146> is an econometric model for analyzing market shares and/or market areas and is closely related to the Huff model. The functions in this package include fitting the MCI model, MCI shares simulations, the log-centering transformation of MCI datasets, creation of interaction matrices and tools for data preparation. Additionally, the package provides applications for the Huff model, including a non-linear fitting algorithm.
Author: Thomas Wieland
Maintainer: Thomas Wieland <thomas.wieland.geo@googlemail.com>

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Package eggCounts updated to version 1.1-1 with previous version 1.1 dated 2016-07-06

Title: Hierarchical Modelling of Faecal Egg Counts
Description: An implementation of hierarchical models for faecal egg count data to assess anthelmintic efficacy. Bayesian inference is done via MCMC sampling using Stan.
Author: Craig Wang [cre, aut], Michaela Paul [aut], Reinhard Furrer [ctb], Trustees of Columbia University [cph] (rstanarm)
Maintainer: Craig Wang <craig.wang@uzh.ch>

Diff between eggCounts versions 1.1 dated 2016-07-06 and 1.1-1 dated 2016-07-29

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Package basicspace updated to version 0.18 with previous version 0.17 dated 2016-03-09

Title: Recovering a Basic Space from Issue Scales
Description: Conducts Aldrich-McKelvey and Blackbox Scaling to Recover Latent Dimensions of Judgment.
Author: Keith Poole <ktpoole@uga.edu>, Howard Rosenthal <hr31@nyu.edu>, Jeffrey Lewis <jblewis@ucla.edu>, James Lo <lojames@usc.edu> and Royce Carroll <rcarroll@rice.edu>
Maintainer: James Lo <lojames@usc.edu>

Diff between basicspace versions 0.17 dated 2016-03-09 and 0.18 dated 2016-07-29

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New package bife with initial version 0.1
Package: bife
Type: Package
Title: Binary Choice Models with Fixed Effects
Version: 0.1
Date: 2016-07-28
Authors@R: c(person("Amrei", "Stammann", email = "amrei.stammann@hhu.de", role = c("aut", "cre")), person("Daniel", "Czarnowske", email = "d.czarnowske@gmx.de", role = "aut"), person("Florian", "Heiss", email = "florian.heiss@hhu.de", role = "aut"), person("Daniel", "McFadden", email = "mcfadden@econ.berkeley.edu", role = "ctb"))
Description: Estimates fixed effects binary choice models (logit and probit) with potentially many individual fixed effects and computes average partial effects. Incidental parameter bias can be reduced with a bias-correction proposed by Hahn and Newey (2004) <doi:10.1111/j.1468-0262.2004.00533.x>.
License: GPL (>= 2)
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.12.5), Formula, stats
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++11
RoxygenNote: 5.0.1
LazyData: true
Suggests: knitr, rmarkdown, survival, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-07-29 10:38:23 UTC; Daniel
Author: Amrei Stammann [aut, cre], Daniel Czarnowske [aut], Florian Heiss [aut], Daniel McFadden [ctb]
Maintainer: Amrei Stammann <amrei.stammann@hhu.de>
Repository: CRAN
Date/Publication: 2016-07-29 13:36:25

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New package SPreFuGED with initial version 1.0
Package: SPreFuGED
Type: Package
Title: Selecting a Predictive Function for a Given Gene Expression Data
Version: 1.0
Date: 2016-07-27
Author: Victor L Jong, Kit CB Roes & Marinus JC Eijkemans
Maintainer: Victor L Jong <v.l.jong@umcutrecht.nl>
Description: The recent advancement of high-throughput technologies has led to frequent utilization of gene expression and other "omics" data for toxicological, diagnostic or prognostic studies in and clinical applications. Unlike in classical predictions where the number of samples is greater than the number of variables (n>p), the challenge faced with prediction using "omics" data is that the number of parameters greatly exceeds the number of samples (p>>n). To solve this curse of dimensionality problem, several predictive functions have been proposed for direct and probabilistic classification and survival predictions. Nevertheless, these predictive functions have been shown to perform differently across datasets. Comparing predictive functions and choosing the best is computationally intensive and leads to selection bias. Thus, the question which function should one choose for a given dataset is to be ascertained. This package implements the approach proposed by Jong et al., (2016) to address this question.
Depends: R(>= 3.2.4)
Imports: stats, methods, utils, Biobase, CMA, lme4, lattice, limma, boot, mvtnorm
Suggests: e1071, MASS, class, nnet, glmnet, randomForest
License: GPL (>= 2)
LazyData: True
NeedsCompilation: no
Packaged: 2016-07-29 08:20:11 UTC; jonglih
Repository: CRAN
Date/Publication: 2016-07-29 12:35:58

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New package microcontax with initial version 1.0
Package: microcontax
Type: Package
Title: The ConTax Data Package
Version: 1.0
Date: 2016-07-28
Author: Hilde Vinje, Kristian Hovde Liland, Lars Snipen.
Maintainer: Lars Snipen <lars.snipen@nmbu.no>
Description: The consensus taxonomy for prokaryotes is a set of data-sets for best possible taxonomic classification based on 16S rRNA sequence data.
License: GPL-2
Depends: R (>= 3.0.0)
Imports: microseq
Suggests: microcontax.data
Additional_repositories: http://repository.umb.no/R
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-29 09:08:39 UTC; larssn
Repository: CRAN
Date/Publication: 2016-07-29 12:35:57

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New package SpATS with initial version 1.0-4
Package: SpATS
Type: Package
Title: Spatial Analysis of Field Trials with Splines
Version: 1.0-4
Date: 2016-06-24
Authors@R: c( person("Maria Xose Rodriguez-Alvarez", email = "mxrodriguez@uvigo.es", role = c("aut", "cre")), person("Martin Boer", role = "aut"), person("Paul Eilers", role = "aut"), person("Fred van Eeuwijk", role = "ctb"))
Imports: stats, grDevices, graphics, fields, plot3Drgl, spam, data.table
Description: Analysis of field trial experiments by modelling spatial trends using two-dimensional Penalised spline (P-spline) models.
License: GPL
NeedsCompilation: no
Packaged: 2016-07-29 07:54:07 UTC; Cote
Author: Maria Xose Rodriguez-Alvarez [aut, cre], Martin Boer [aut], Paul Eilers [aut], Fred van Eeuwijk [ctb]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.es>
Repository: CRAN
Date/Publication: 2016-07-29 10:36:41

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Package RCPmod updated to version 2.142 with previous version 2.141 dated 2016-07-29

Title: Regions of Common Profiles Modelling with Mixtures-of-Experts
Description: Identifies regions of common (species) profiles (RCPs), possibly when sampling artefacts are present. Within a region the probability of sampling all species remains approximately constant. This is performed using mixtures-of-experts models. The package also contains associated methods, such as diagnostics.
Author: Scott D. Foster
Maintainer: Scott Foster <scott.foster@csiro.au>

Diff between RCPmod versions 2.141 dated 2016-07-29 and 2.142 dated 2016-07-29

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New package peakRAM with initial version 1.0.0
Package: peakRAM
Title: Monitor the Total and Peak RAM Used by an Expression or Function
Version: 1.0.0
URL: http://github.com/tpq/peakRAM
BugReports: http://github.com/tpq/peakRAM/issues
Authors@R: c( person("Thomas", "Quinn", email = "contacttomquinn@gmail.com", role = c("aut", "cre")) )
Description: When working with big datasets, RAM conservation is critically important. However, it is not always enough to just monitor the size of the objects created. So-called "copy-on-modify" behavior, characteristic of R, means that some expressions or functions may require an unexpectedly large amount of RAM overhead. For example, replacing a single value in a matrix duplicates that matrix in the backend, making this task require twice as much RAM as that used by the matrix itself. This package makes it easy to monitor the total and peak RAM used so that developers can quickly identify and eliminate RAM hungry code.
License: GPL-2
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
Depends: R (>= 3.2.2)
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2016-07-29 05:04:32 UTC; thom
Author: Thomas Quinn [aut, cre]
Maintainer: Thomas Quinn <contacttomquinn@gmail.com>
Repository: CRAN
Date/Publication: 2016-07-29 07:38:22

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Package KFAS updated to version 1.2.4 with previous version 1.2.3 dated 2016-06-22

Title: Kalman Filter and Smoother for Exponential Family State Space Models
Description: Functions for Kalman filtering, smoothing, forecasting and simulation of multivariate exponential family state space models with exact diffuse initialization and sequential processing.
Author: Jouni Helske <jouni.helske@jyu.fi>
Maintainer: Jouni Helske <jouni.helske@jyu.fi>

Diff between KFAS versions 1.2.3 dated 2016-06-22 and 1.2.4 dated 2016-07-29

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Package sbrl updated to version 1.2 with previous version 1.1 dated 2016-07-24

Title: Scalable Bayesian Rule Lists Model
Description: An implementation of Scalable Bayesian Rule Lists Algorithm.
Author: Hongyu Yang [aut, cre], Morris Chen [ctb], Cynthia Rudin [aut, ctb], Margo Seltzer [aut, ctb]
Maintainer: Hongyu Yang <hongyuy@mit.edu>

Diff between sbrl versions 1.1 dated 2016-07-24 and 1.2 dated 2016-07-29

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Package rsvd updated to version 0.6 with previous version 0.3 dated 2015-11-13

Title: Randomized Singular Value Decomposition
Description: Randomized singular value decomposition (rsvd) is a very fast probabilistic algorithm that can be used to compute the near optimal low-rank singular value decomposition of massive data sets with high accuracy. SVD plays a central role in data analysis and scientific computing. SVD is also widely used for computing (randomized) principal component analysis (PCA), a linear dimensionality reduction technique. Randomized PCA (rpca) uses the approximated singular value decomposition to compute the most significant principal components. This package also includes a function to compute (randomized) robust principal component analysis (RPCA). In addition several plot functions are provided.
Author: N. Benjamin Erichson [aut, cre]
Maintainer: N. Benjamin Erichson <nbe@st-andrews.ac.uk>

Diff between rsvd versions 0.3 dated 2015-11-13 and 0.6 dated 2016-07-29

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Package rstan updated to version 2.11.1 with previous version 2.10.1 dated 2016-06-24

Title: R Interface to Stan
Description: User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Author: Jiqiang Guo [aut], Jonah Gabry [aut], Ben Goodrich [cre, aut], Daniel Lee [ctb], Krzysztof Sakrejda [ctb], Trustees of Columbia University [cph], Oleg Sklyar [cph] (R/cxxfunplus.R), The R Core Team [cph] (R/pairs.R), Jens Oehlschlaegel-Akiyoshi [cph] (R/pairs.R), Hadley Wickham [cph] (R/rtools.R), Joel de Guzman [cph] (Boost), John Fletcher [cph] (Boost), Thomas Heller [cph] (Boost), Eric Niebler [cph] (Boost)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package RCPmod updated to version 2.141 with previous version 1.4 dated 2013-11-02

Title: Regions of Common Profiles Modelling with Mixtures-of-Experts
Description: Identifies regions of common (species) profiles (RCPs), possibly when sampling artefacts are present. Within a region the probability of sampling all species remains approximately constant. This is performed using mixtures-of-experts models. The package also contains associated methods, such as diagnostics.
Author: Scott D. Foster
Maintainer: Scott Foster <scott.foster@csiro.au>

Diff between RCPmod versions 1.4 dated 2013-11-02 and 2.141 dated 2016-07-29

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Package prodigenr updated to version 0.3.0 with previous version 0.2.7 dated 2016-05-14

Title: Research Project Directory Generator
Description: Create a project directory structure, along with typical files for that project. This allows projects to be quickly and easily created, as well as for them to be standardized. Designed specifically with scientists in mind (mainly bio-medical researchers, but likely applies to other fields).
Author: Luke Johnston [aut, cre]
Maintainer: Luke Johnston <lwjohnst@gmail.com>

Diff between prodigenr versions 0.2.7 dated 2016-05-14 and 0.3.0 dated 2016-07-29

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New package NetRep with initial version 1.0.2
Package: NetRep
Type: Package
Title: Permutation Testing Network Module Preservation Across Datasets
Version: 1.0.2
Date: 2016-07-28
Authors@R: person(given="Scott", family="Ritchie", email="sritchie73@gmail.com", role=c("aut", "cre"))
BugReports: https://github.com/InouyeLab/NetRep/issues
Description: Functions for assessing the replication/preservation of a network module's topology across datasets through permutation testing.
License: GPL-2
Depends: R (>= 3.0.2), methods
Imports: foreach, Rcpp (>= 0.11), statmod, RhpcBLASctl, abind, RColorBrewer, utils, stats, graphics, grDevices, ref
Suggests: bigmemory, testthat, knitr, rmarkdown
LinkingTo: Rcpp, BH, RcppArmadillo (>= 0.4)
SystemRequirements: A compiler with C++11 support for the thread library, Requires Rtools >= 33 (i.e. R >= 3.3.0) to build on Windows.
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-07-29 00:08:29 UTC; scottr
Author: Scott Ritchie [aut, cre]
Maintainer: Scott Ritchie <sritchie73@gmail.com>
Repository: CRAN
Date/Publication: 2016-07-29 06:40:57

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Package jqr updated to version 0.2.4 with previous version 0.2.3 dated 2016-05-10

Title: Client for 'jq', a JSON Processor
Description: Client for 'jq', a JSON processor (<http://stedolan.github.io/jq/>), written in C. 'jq' allows the following with JSON data: index into, parse, do calculations, cut up and filter, change key names and values, perform conditionals and comparisons, and more.
Author: Rich FitzJohn [aut], Jeroen Ooms [aut], Scott Chamberlain [aut, cre], Stefan Milton Bache [aut], Stephen Dolan [aut, cph] (jq library), jq contributors [ctb] (jq library; authors listed in inst/AUTHORS.jq), Free Software Foundation [ctb, cph] (parser code in src/parser.c), David M Gay [ctb, cph] (code in src/jv_dtoa.c)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between jqr versions 0.2.3 dated 2016-05-10 and 0.2.4 dated 2016-07-29

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Package FinCal updated to version 0.6.3 with previous version 0.6.2 dated 2015-12-30

Title: Time Value of Money, Time Series Analysis and Computational Finance
Description: Package for time value of money calculation, time series analysis and computational finance.
Author: Felix Yanhui Fan <nolanfyh@gmail.com>
Maintainer: Felix Yanhui Fan <nolanfyh@gmail.com>

Diff between FinCal versions 0.6.2 dated 2015-12-30 and 0.6.3 dated 2016-07-29

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New package eAnalytics with initial version 0.1.0
Package: eAnalytics
Version: 0.1.0
Title: Dynamic Web Analytics for the Energy Industry
Description: A 'Shiny' web application for energy industry analytics. Take an overview of the industry, measure Key Performance Indicators, identify changes in the industry over time, and discover new relationships in the data.
URL: https://github.com/paulgovan/eanalytics
BugReports: https://github.com/paulgovan/eanalytics/issues
Authors@R: person("Paul", "Govan", email = "pgovan1@aggienetwork.com", role = c("aut", "cre"))
Depends: R (>= 2.10.0), plotly,
License: Apache License
LazyData: TRUE
Imports: d3heatmap, dplyr, DT, energyr, googleVis, leaflet, shiny, shinydashboard
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-29 03:50:00 UTC; paulgovan
Author: Paul Govan [aut, cre]
Maintainer: Paul Govan <pgovan1@aggienetwork.com>
Repository: CRAN
Date/Publication: 2016-07-29 07:05:04

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New package carpenter with initial version 0.2.0
Package: carpenter
Type: Package
Title: Build Common Tables of Summary Statistics for Reports
Version: 0.2.0
Authors@R: person("Luke", "Johnston", email = "lwjohnst@gmail.com", role = c("aut", "cre"))
Description: Mainly used to build tables that are commonly presented for bio-medical/health research, such as basic characteristic tables or descriptive statistics.
License: MIT + file LICENSE
LazyData: TRUE
Imports: dplyr, magrittr, tidyr, pander, utils, stats, lazyeval
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/lwjohnst86/carpenter
BugReports: https://github.com/lwjohnst86/carpenter/issues
NeedsCompilation: no
Packaged: 2016-07-29 01:20:40 UTC; luke
Author: Luke Johnston [aut, cre]
Maintainer: Luke Johnston <lwjohnst@gmail.com>
Repository: CRAN
Date/Publication: 2016-07-29 06:41:05

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Package beanz updated to version 1.6 with previous version 1.5 dated 2016-07-06

Title: Bayesian Analysis of Heterogeneous Treatment Effect
Description: It is vital to assess the heterogeneity of treatment effects (HTE) when making health care decisions for an individual patient or a group of patients. Nevertheless, it remains challenging to evaluate HTE based on information collected from clinical studies that are often designed and conducted to evaluate the efficacy of a treatment for the overall population. The Bayesian framework offers a principled and flexible approach to estimate and compare treatment effects across subgroups of patients defined by their characteristics. This package allows users to explore a wide range of Bayesian HTE analysis models, and produce posterior inferences about HTE.
Author: Chenguang Wang [aut, cre], Ravi Varadhan [aut], Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Maintainer: Chenguang Wang <cwang68@jhmi.edu>

Diff between beanz versions 1.5 dated 2016-07-06 and 1.6 dated 2016-07-29

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New package AhoCorasickTrie with initial version 0.1.0
Package: AhoCorasickTrie
Type: Package
Title: Fast Searching for Multiple Keywords in Multiple Texts
Version: 0.1.0
Authors@R: c(person("Matt", "Chambers", email="matt.chambers42@gmail.com", role=c("aut", "cre")), person("Tomas", "Petricek", role=c("aut", "cph")), person("Vanderbilt University", role="cph"))
Description: Aho-Corasick is an optimal algorithm for finding many keywords in a text. It can locate all matches in a text in O(N+M) time; i.e., the time needed scales linearly with the number of keywords (N) and the size of the text (M). Compare this to the naive approach which takes O(N*M) time to loop through each pattern and scan for it in the text. This implementation builds the trie (the generic name of the data structure) and runs the search in a single function call. If you want to search multiple texts with the same trie, the function will take a list or vector of texts and return a list of matches to each text. By default, all 128 ASCII characters are allowed in both the keywords and the text. A more efficient trie is possible if the alphabet size can be reduced. For example, DNA sequences use at most 19 distinct characters and usually only 4; protein sequences use at most 26 distinct characters and usually only 20. UTF-8 (Unicode) matching is not currently supported.
License: Apache License 2.0
URL: https://github.com/chambm/AhoCorasickTrie
BugReports: https://github.com/chambm/AhoCorasickTrie/issues
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.5)
LinkingTo: Rcpp
Suggests: Biostrings, microbenchmark
SystemRequirements: C++11
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-07-29 00:25:38 UTC; chambem2
Author: Matt Chambers [aut, cre], Tomas Petricek [aut, cph], Vanderbilt University [cph]
Maintainer: Matt Chambers <matt.chambers42@gmail.com>
Repository: CRAN
Date/Publication: 2016-07-29 06:40:52

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