Sat, 04 Feb 2017

Package timetools updated to version 1.9.1 with previous version 1.8.1 dated 2017-02-01

Title: Seasonal/Sequential (Instants/Durations, Even or not) Time Series
Description: Objects to manipulate sequential and seasonal time series. Sequential time series based on time instants and time durations are handled. Both can be regularly or unevenly spaced (overlapping durations are allowed). Only POSIX* format are used for dates and times. The following classes are provided : 'POSIXcti', 'POSIXctp', 'TimeIntervalDataFrame', 'TimeInstantDataFrame', 'SubtimeDataFrame' ; methods to switch from a class to another and to modify the time support of series (hourly time series to daily time series for instance) are also defined. Tools provided can be used for instance to handle environmental monitoring data (not always produced on a regular time base).
Author: Vladislav Navel
Maintainer: Vladislav Navel <vnavel@yahoo.fr>

Diff between timetools versions 1.8.1 dated 2017-02-01 and 1.9.1 dated 2017-02-04

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New package superheat with initial version 0.1.0
Package: superheat
Type: Package
Title: A Graphical Tool for Exploring Complex Datasets Using Heatmaps
Version: 0.1.0
Authors@R: c(person("Rebecca", "Barter", email = "rebeccabarter@berkeley.edu", role = c("aut", "cre")), person("Bin", "Yu", email = "binyu@berkeley.edu", role = c("aut")))
Description: A system for generating extendable and customizable heatmaps for exploring complex datasets, including big data and data with multiple data types.
Depends: R (>= 3.1)
License: CC0
LazyData: TRUE
Imports: dplyr (>= 0.4.3), ggplot2 (>= 2.0.0), gtable (>= 0.1.2), magrittr (>= 1.5), plyr (>= 1.8.3), scales (>= 0.3.0), ggdendro,
Suggests: knitr (>= 1.11), RColorBrewer, rmarkdown, testthat (>= 0.11.0),
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-02-03 23:22:40 UTC; Rebecca
Author: Rebecca Barter [aut, cre], Bin Yu [aut]
Maintainer: Rebecca Barter <rebeccabarter@berkeley.edu>
Repository: CRAN
Date/Publication: 2017-02-04 23:35:29

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New package QuantileGradeR with initial version 0.1
Package: QuantileGradeR
Title: Quantile-Adjusted Restaurant Grading
Version: 0.1
Date: 2017-02-03
Author: Daniel E. Ho <dho@law.stanford.edu>, Zoe Ashwood <zashwood@law.stanford.edu>, Becky Elias <Becky.Elias@kingcounty.gov>
Maintainer: Zoe Ashwood <zashwood@law.stanford.edu>
Description: Implementation of the food safety restaurant grading system adopted by Public Health - Seattle & King County (see Ashwood, Z.C., Elias, B., and Ho. D.E. "Improving the Reliability of Food Safety Disclosure: A Quantile Adjusted Restaurant Grading System for Seattle-King County" (working paper)). As reported in the accompanying paper, this package allows jurisdictions to easily implement refinements that address common challenges with unadjusted grading systems. First, in contrast to unadjusted grading, where the most recent single routine inspection is the primary determinant of a grade, grading inputs are allowed to be flexible. For instance, it is straightforward to base the grade on average inspection scores across multiple inspection cycles. Second, the package can identify quantile cutoffs by inputting substantively meaningful regulatory thresholds (e.g., the proportion of establishments receiving sufficient violation points to warrant a return visit). Third, the quantile adjustment equalizes the proportion of establishments in a flexible number of grading categories (e.g., A/B/C) across areas (e.g., ZIP codes, inspector areas) to account for inspector differences. Fourth, the package implements a refined quantile adjustment that addresses two limitations with the stats::quantile() function when applied to inspection score datasets with large numbers of score ties. The quantile adjustment algorithm iterates over quantiles until, over all restaurants in all areas, grading proportions are within a tolerance of desired global proportions. In addition the package allows a modified definition of "quantile" from "Nearest Rank". Instead of requiring that at least p[1]% of restaurants receive the top grade and at least (p[1]+p[2])% of restaurants receive the top or second best grade for quantiles p, the algorithm searches for cutoffs so that as close as possible p[1]% of restaurants receive the top grade, and as close as possible to p[2]% of restaurants receive the second top grade.
URL: http://www.kingcounty.gov/depts/health/environmental-health/food-safety/inspection-system/food-safety-rating.aspx
Depends: R (>= 3.2.3)
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
Imports: stats
NeedsCompilation: no
Packaged: 2017-02-03 19:35:31 UTC; zoeashwood
Repository: CRAN
Date/Publication: 2017-02-05 00:18:49

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New package grove with initial version 1.0
Package: grove
Type: Package
Title: Wavelet Functional ANOVA Through Markov Groves
Version: 1.0
Date: 2017-02-04
Author: Jacopo Soriano and Li Ma
Maintainer: Jacopo Soriano <jsoriano.stat@gmail.com>
Description: Functional denoising and functional ANOVA through wavelet-domain Markov groves. Fore more details see: Ma L. and Soriano J. (2016) Efficient functional ANOVA through wavelet-domain Markov groves. <arXiv:1602.03990v2 [stat.ME]>.
License: GPL (>= 3)
Imports: methods, Rcpp (>= 0.11.2), wavethresh
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2017-02-04 19:20:40 UTC; jacopo
Repository: CRAN
Date/Publication: 2017-02-05 00:18:47

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New package gk with initial version 0.4.0
Package: gk
Type: Package
Title: g-and-k and g-and-h Distribution Functions
Version: 0.4.0
Date: 2017-02-03
Description: Functions for the g-and-k and generalised g-and-h distributions.
License: GPL-2
Authors@R: person("Dennis", "Prangle", email="dennis.prangle@gmail.com", role=c("aut","cre","cph"))
Imports: stats
Suggests: testthat
ByteCompile: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-03 13:31:18 UTC; ndp78
Author: Dennis Prangle [aut, cre, cph]
Maintainer: Dennis Prangle <dennis.prangle@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-05 00:07:48

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Package AdMit updated to version 2.1.3 with previous version 2.1.2 dated 2017-01-18

Title: Adaptive Mixture of Student-t Distributions
Description: Provides functions to perform the fitting of an adaptive mixture of Student-t distributions to a target density through its kernel function as described in Ardia et al. (2009) <doi:10.18637/jss.v029.i03>. The mixture approximation can then be used as the importance density in importance sampling or as the candidate density in the Metropolis-Hastings algorithm to obtain quantities of interest for the target density itself.
Author: David Ardia [aut, cre], Lennart Hoogerheide [ctb], Herman van Dijk [ctb]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

Diff between AdMit versions 2.1.2 dated 2017-01-18 and 2.1.3 dated 2017-02-04

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Package RcppCCTZ updated to version 0.2.1 with previous version 0.2.0 dated 2017-01-08

Title: 'Rcpp' Bindings for the 'CCTZ' Library
Description: 'Rcpp' Access to the 'CCTZ' timezone library is provided. 'CCTZ' is a C++ library for translating between absolute and civil times using the rules of a time zone. The 'CCTZ' source code, released under the Apache 2.0 License, is included in this package. See <https://github.com/google/cctz> for more details.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppCCTZ versions 0.2.0 dated 2017-01-08 and 0.2.1 dated 2017-02-04

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Package nanotime updated to version 0.1.1 with previous version 0.1.0 dated 2017-01-10

Title: Nanosecond-Resolution Time for R
Description: Full 64-bit resolution date and time support with resolution up to nanosecond granularity is provided, with easy transition to and from the standard 'POSIXct' type.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between nanotime versions 0.1.0 dated 2017-01-10 and 0.1.1 dated 2017-02-04

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Package mets updated to version 1.2 with previous version 1.1.1 dated 2015-05-29

Title: Analysis of Multivariate Event Times
Description: Implementation of various statistical models for multivariate event history data. Including multivariate cumulative incidence models, and bivariate random effects probit models (Liability models). Also contains two-stage binomial modelling that can do pairwise odds-ratio dependence modelling based marginal logistic regression models. This is an alternative to the alternating logistic regression approach (ALR).
Author: Klaus K. Holst and Thomas Scheike
Maintainer: Klaus K. Holst <klaus@holst.it>

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More information about mets at CRAN
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Package hddtools updated to version 0.5 with previous version 0.3.0 dated 2016-09-06

Title: Hydrological Data Discovery Tools
Description: Facilitates discovery and handling of hydrological data, access to catalogues and databases.
Author: Claudia Vitolo [aut, cre], Wouter Buytaert [ctb] (This package was developed during Claudia's PhD at Imperial College London and Wouter was the PhD supervisor.), Erin Le Dell [ctb] (Erin reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/73), Michael Sumner [ctb] (Michael reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/73)
Maintainer: Claudia Vitolo <cvitolodev@gmail.com>

Diff between hddtools versions 0.3.0 dated 2016-09-06 and 0.5 dated 2017-02-04

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More information about hddtools at CRAN
Permanent link

Package flippant updated to version 1.1.0 with previous version 1.0.2 dated 2016-12-21

Title: Dithionite Scramblase Assay Analysis
Description: The lipid scrambling activity of protein extracts and purified scramblases is often determined using a fluorescence-based assay involving many manual steps. flippant offers an integrated solution for the analysis and publication-grade graphical presentation of dithionite scramblase assays, as well as a platform for review, dissemination and extension of the strategies it employs. The package's name derives from a play on the fact that lipid scrambling is also sometimes referred to as 'flipping'.
Author: Johannes Graumann [cre, aut], Richard Cotton [ctb]
Maintainer: Johannes Graumann <jog2030@qatar-med.cornell.edu>

Diff between flippant versions 1.0.2 dated 2016-12-21 and 1.1.0 dated 2017-02-04

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Package extraDistr updated to version 1.8.3 with previous version 1.8.2 dated 2016-10-10

Title: Additional Univariate and Multivariate Distributions
Description: Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions. This package implements the following distributions: Bernoulli, beta-binomial, beta-negative binomial, beta prime, Bhattacharjee, Birnbaum-Saunders, bivariate normal, bivariate Poisson, categorical, Dirichlet, Dirichlet-multinomial, discrete gamma, discrete Laplace, discrete normal, discrete uniform, discrete Weibull, Frechet, gamma-Poisson, generalized extreme value, Gompertz, generalized Pareto, Gumbel, half-Cauchy, half-normal, half-t, Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy, Laplace, logarithmic, Lomax, multivariate hypergeometric, multinomial, negative hypergeometric, non-standard t, non-standard beta, normal mixture, Poisson mixture, Pareto, power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam, slash, triangular, truncated binomial, truncated normal, truncated Poisson, Tukey lambda, Wald, zero-inflated binomial, zero-inflated negative binomial, zero-inflated Poisson.
Author: Tymoteusz Wolodzko
Maintainer: Tymoteusz Wolodzko <twolodzko+extraDistr@gmail.com>

Diff between extraDistr versions 1.8.2 dated 2016-10-10 and 1.8.3 dated 2017-02-04

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More information about extraDistr at CRAN
Permanent link

Package DstarM updated to version 0.2.1 with previous version 0.1.0 dated 2016-08-29

Title: Analyze Two Choice Reaction Time Data with the D*M Method
Description: A collection of functions to estimate parameters of a diffusion model via a D*M analysis. Build in models are: the Ratcliff diffusion model, the RWiener diffusion model, and Linear Ballistic Accumulator models. Custom models functions can be specified as long as they have a density function.
Author: Don van den Bergh, Stijn Verdonck, Francis Tuerlinckx
Maintainer: Don van den Bergh <donvdbergh@hotmail.com>

Diff between DstarM versions 0.1.0 dated 2016-08-29 and 0.2.1 dated 2017-02-04

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More information about DstarM at CRAN
Permanent link

Package bayesGARCH updated to version 2.1.3 with previous version 2.1.2 dated 2017-01-12

Title: Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations
Description: Provides the bayesGARCH() function which performs the Bayesian estimation of the GARCH(1,1) model with Student's t innovations as described in Ardia (2008) <doi:10.1007/978-3-540-78657-3>.
Author: David Ardia [aut, cre]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

Diff between bayesGARCH versions 2.1.2 dated 2017-01-12 and 2.1.3 dated 2017-02-04

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More information about bayesGARCH at CRAN
Permanent link

Package tolerance updated to version 1.3.0 with previous version 1.2.0 dated 2016-02-17

Title: Statistical Tolerance Intervals and Regions
Description: Statistical tolerance limits provide the limits between which we can expect to find a specified proportion of a sampled population with a given level of confidence. This package provides functions for estimating tolerance limits (intervals) for various univariate distributions (binomial, Cauchy, discrete Pareto, exponential, two-parameter exponential, extreme value, hypergeometric, Laplace, logistic, negative binomial, negative hypergeometric, normal, Pareto, Poisson-Lindley, Poisson, uniform, and Zipf-Mandelbrot), Bayesian normal tolerance limits, multivariate normal tolerance regions, nonparametric tolerance intervals, tolerance bands for regression settings (linear regression, nonlinear regression, nonparametric regression, and multivariate regression), and analysis of variance tolerance intervals. Visualizations are also available for most of these settings.
Author: Derek S. Young [aut, cre]
Maintainer: Derek S. Young <derek.young@uky.edu>

Diff between tolerance versions 1.2.0 dated 2016-02-17 and 1.3.0 dated 2017-02-04

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Package rpms updated to version 0.2.0 with previous version 0.1.0 dated 2016-10-21

Title: Recursive Partitioning for Modeling Survey Data
Description: Fits a linear model to survey data in each node obtained by recursively partitioning the data. The splitting variables and splits selected are obtained using a procedure which adjusts for complex sample design features used to obtain the data. Likewise the model fitting algorithm produces design-consistent coefficients to the least squares linear model between the dependent and independent variables. The first stage of the design is accounted for in the provided variance estimates. The main function returns the resulting binary tree with the linear model fit at every end-node. The package provides a number of functions and methods for these trees.
Author: daniell toth [aut, cre]
Maintainer: daniell toth <danielltoth@yahoo.com>

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Package RNiftyReg updated to version 2.5.0 with previous version 2.4.1 dated 2016-12-08

Title: Image Registration Using the 'NiftyReg' Library
Description: Provides an 'R' interface to the 'NiftyReg' image registration tools <http://sourceforge.net/projects/niftyreg/>. Linear and nonlinear registration are supported, in two and three dimensions.
Author: Jon Clayden [cre, aut], Marc Modat [aut], Benoit Presles [aut], Thanasis Anthopoulos [aut], Pankaj Daga [aut]
Maintainer: Jon Clayden <code@clayden.org>

Diff between RNiftyReg versions 2.4.1 dated 2016-12-08 and 2.5.0 dated 2017-02-04

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Package INLABMA updated to version 0.1-8 with previous version 0.1-6 dated 2015-01-19

Title: Bayesian Model Averaging with INLA
Description: Fit Spatial Econometrics models using Bayesian model averaging on models fitted with INLA. The INLA package can be obtained from <http://www.r-inla.org>.
Author: Virgilio Gómez-Rubio <virgilio.gomez@uclm.es>, Roger Bivand <Roger.Bivand@nhh.no>
Maintainer: Virgilio Gómez-Rubio <virgilio.gomez@uclm.es>

Diff between INLABMA versions 0.1-6 dated 2015-01-19 and 0.1-8 dated 2017-02-04

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Package sf updated to version 0.3-2 with previous version 0.3-1 dated 2017-01-31

Title: Simple Features for R
Description: Support for simple features, a standardized way to encode spatial data, with bindings to GDAL, GEOS and Proj.4.
Author: Edzer Pebesma [aut, cre], Roger Bivand [ctb], Ian Cook [ctb], Tim Keitt [ctb], Michael Sumner [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb], Etienne Racine [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package samplesizelogisticcasecontrol updated to version 0.0.6 with previous version 0.0.5 dated 2016-09-20

Title: Sample Size Calculations for Case-Control Studies
Description: To determine sample size for case-control studies to be analyzed using logistic regression.
Author: Mitchell H. Gail
Maintainer: William Wheeler <WheelerB@imsweb.com>

Diff between samplesizelogisticcasecontrol versions 0.0.5 dated 2016-09-20 and 0.0.6 dated 2017-02-04

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Package PeerPerformance updated to version 2.1.2 with previous version 2.1.1 dated 2017-01-29

Title: Luck-Corrected Peer Performance Analysis in R
Description: Provides functions to perform the peer performance analysis of funds' returns as described in Ardia and Boudt (2016) <doi:10.2139/ssrn.2000901>.
Author: David Ardia [aut, cre], Kris Boudt [aut]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

Diff between PeerPerformance versions 2.1.1 dated 2017-01-29 and 2.1.2 dated 2017-02-04

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Package pbmcapply updated to version 1.2.0 with previous version 1.1.3 dated 2016-12-14

Title: Tracking the Progress of Mc*pply with Progress Bar
Description: A light-weight package helps you track and visualize the progress of parallel version of vectorized R functions (mc*apply). The package works on *nix (Linux, Unix such as macOS) system only due to the lack of fork() functionality, which is essential for mc*apply, on Windows.
Author: Kevin Kuang (aut), Francesco Napolitano (ctb)
Maintainer: Kevin kuang <kvn.kuang@mail.utoronto.ca>

Diff between pbmcapply versions 1.1.3 dated 2016-12-14 and 1.2.0 dated 2017-02-04

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Package blscrapeR updated to version 2.1.2 with previous version 2.1.1 dated 2017-01-27

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 2.1.1 dated 2017-01-27 and 2.1.2 dated 2017-02-04

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