Sat, 24 Dec 2016

Package ggguitar updated to version 0.1.1 with previous version 0.1.0 dated 2016-11-30

Title: Utilities for Creating Guitar Tablature
Description: Utilities for Creating Guitar Tablature using tidyverse packages.
Author: Casimir Saternos [aut, cre]
Maintainer: Casimir Saternos <cas.saternos@gmail.com>

Diff between ggguitar versions 0.1.0 dated 2016-11-30 and 0.1.1 dated 2016-12-24

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Package findviews updated to version 0.1.3 with previous version 0.1.2 dated 2016-10-25

Title: A View Generator for Multidimensional Data
Description: A tool to explore wide data sets, by detecting, ranking and plotting groups of statistically dependent columns.
Author: Thibault Sellam
Maintainer: Thibault Sellam <thibault.sellam@gmail.com>

Diff between findviews versions 0.1.2 dated 2016-10-25 and 0.1.3 dated 2016-12-24

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New package pre with initial version 0.1
Package: pre
Title: Prediction Rule Ensembles
Version: 0.1
Authors@R: person("Marjolein", "Fokkema", role = c("aut", "cre"), email = "m.fokkema@fsw.leidenuniv.nl")
Author: Marjolein Fokkema [aut, cre]
Maintainer: Marjolein Fokkema <m.fokkema@fsw.leidenuniv.nl>
Description: Derives prediction rule ensembles (PREs). Largely follows the procedure for deriving PREs as described in Friedman & Popescu (2008; <DOI:10.1214/07-AOAS148>), with several adjustments and improvements. The main function pre() derives a prediction rule ensemble. Functions coef() and importance() can be used to inspect the generated ensemble. Function predict() generates predicted values. Singeplot() and pairplot() depict dependence of the output on specified predictor variables. Function cvpre() performs full cross validation of a pre to calculate the expected prediction error. Functions interact() and bsnullinteract() can be used to assess interaction effects of predictor variables.
Depends: R (>= 3.3.0), partykit, glmnet, MatrixModels, Formula, methods, graphics
Suggests: akima
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-24 11:00:04 UTC; tobii
Repository: CRAN
Date/Publication: 2016-12-24 18:36:35

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Package Bclim updated to version 3.1.2 with previous version 3.1.0 dated 2016-06-13

Title: Bayesian Palaeoclimate Reconstruction from Pollen Data
Description: Takes pollen and chronology data from lake cores and produces a Bayesian posterior distribution of palaeoclimate from that location after fitting a non-linear non-Gaussian state-space model. For more details see the paper Parnell et al. (2015), Bayesian inference for palaeoclimate with time uncertainty and stochastic volatility. Journal of the Royal Statistical Society: Series C (Applied Statistics), 64: 115–138 <DOI:10.1111/rssc.12065>.
Author: Andrew Parnell [cre], James Sweeney [aut], Thinh Doan [aut]
Maintainer: Andrew Parnell <andrew.parnell@ucd.ie>

Diff between Bclim versions 3.1.0 dated 2016-06-13 and 3.1.2 dated 2016-12-24

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Package anytime updated to version 0.2.0 with previous version 0.1.2 dated 2016-12-13

Title: Anything to 'POSIXct' or 'Date' Converter
Description: Convert input in any one of character, integer, numeric, factor, or ordered type into 'POSIXct' (or 'Date') objects, using one of a number of predefined formats, and relying on Boost facilities for date and time parsing.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between anytime versions 0.1.2 dated 2016-12-13 and 0.2.0 dated 2016-12-24

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Package samplesize updated to version 0.2-4 with previous version 0.2-2 dated 2015-07-01

Title: Sample Size Calculation for Various t-Tests and Wilcoxon-Test
Description: Computes sample size for Student's t-test and for the Wilcoxon-Mann-Whitney test for categorical data. The t-test function allows paired and unpaired (balanced / unbalanced) designs as well as homogeneous and heterogeneous variances. The Wilcoxon function allows for ties.
Author: Ralph Scherer
Maintainer: Ralph Scherer <shearer.ra76@gmail.com>

Diff between samplesize versions 0.2-2 dated 2015-07-01 and 0.2-4 dated 2016-12-24

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Package rnrfa updated to version 1.3.0 with previous version 1.2 dated 2016-09-03

Title: UK National River Flow Archive Data from R
Description: Utility functions to retrieve data from the UK National River Flow Archive (http://nrfa.ceh.ac.uk/). The package contains R wrappers to the UK NRFA data temporary-API. There are functions to retrieve stations falling in a bounding box, to generate a map and extracting time series and general information.
Author: Claudia Vitolo [aut, cre], Matthew Fry [ctb] (Matthew supervised the unofficial API integration.), Wouter Buytaert [ctb] (This package is part of Claudia Vitolo's PhD work and Wouter is the supervisor.), Michael Spencer [ctb] (Michael updated the function osg_parse to work with grid references of different lengths.)
Maintainer: Claudia Vitolo <cvitolodev@gmail.com>

Diff between rnrfa versions 1.2 dated 2016-09-03 and 1.3.0 dated 2016-12-24

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Package InterVA4 updated to version 1.7.3 with previous version 1.7.2 dated 2016-11-14

Title: Replicate and Analyse 'InterVA4'
Description: Provides an R version of the 'InterVA4' software (<http://www.interva.net>) for coding cause of death from verbal autopsies. It also provides simple graphical representation of individual and population level statistics.
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>

Diff between InterVA4 versions 1.7.2 dated 2016-11-14 and 1.7.3 dated 2016-12-24

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Package HDoutliers updated to version 0.15 with previous version 0.14 dated 2016-11-28

Title: Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers
Description: An implementation of an algorithm for outlier detection that can handle a) data with a mixed categorical and continuous variables, b) many columns of data, c) many rows of data, d) outliers that mask other outliers, and e) both unidimensional and multidimensional datasets. Unlike ad hoc methods found in many machine learning papers, HDoutliers is based on a distributional model that uses probabilities to determine outliers. See <https://www.cs.uic.edu/~wilkinson/Publications/outliers.pdf>.
Author: Chris Fraley [aut, cre], Leland Wilkinson [ctb]
Maintainer: Chris Fraley <cfraley@tableau.com>

Diff between HDoutliers versions 0.14 dated 2016-11-28 and 0.15 dated 2016-12-24

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New package GerminaR with initial version 1.0
Package: GerminaR
Type: Package
Title: Germination Indexes for Seed Germination Variables for Ecophysiological Studies
Version: 1.0
Date: 2016-12-23
Authors@R: c( person("Flavio", "Lozano-Isla", email = "Flavjack@gmail.com", role = c("aut", "cre")), person("Omar", "Benites-Alfaro", , "obacc07@gmail.com", "aut"), person("Marcelo F.", "Pompelli", , "mpompelli@gmail.com", "ths") )
Description: Different types of seed indexes, rates and visualization techniques are used to provide a robust approach for germination data analysis. The package aims to make available germination seed indexes and graphical functions to analyze germination seed data.
Imports: shiny, ggplot2, agricolae, assertthat, magrittr, dplyr, tidyr, gtools
Depends: R (>= 3.2.3)
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-12-23 18:18:18 UTC; omar_
Author: Flavio Lozano-Isla [aut, cre], Omar Benites-Alfaro [aut], Marcelo F. Pompelli [ths]
Maintainer: Flavio Lozano-Isla <Flavjack@gmail.com>
Repository: CRAN
Date/Publication: 2016-12-24 11:23:53

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Package dynsurv updated to version 0.3-4 with previous version 0.3-3 dated 2016-10-15

Title: Dynamic Models for Survival Data
Description: Functions to fit time-varying coefficient models for interval censored and right censored survival data. Three major approaches are implemented: 1) Bayesian Cox model with time-independent, time-varying or dynamic coefficients for right censored and interval censored data; 2) Spline based time-varying coefficient Cox model for right censored data; 3) Transformation model with time-varying coefficients for right censored data using estimating equations.
Author: Wenjie Wang [cre, aut], Ming-Hui Chen [aut], Xiaojing Wang [aut], Jun Yan [aut]
Maintainer: Wenjie Wang <wenjie.2.wang@uconn.edu>

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