Wed, 08 Oct 2014

Package R.utils updated to version 1.34.0 with previous version 1.33.0 dated 2014-08-26

Title: Various programming utilities
Description: This package provides utility methods useful when programming and developing R packages.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson

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New package HiDimMaxStable with initial version 0.1
Package: HiDimMaxStable
Version: 0.1
Date: 2014-10-07
Encoding: UTF-8
Title: Inference on High Dimensional Max-Stable Distributions
Authors@R: c(person("Alexis","Bienvenüe",role=c("aut","cre"), email="alexis.bienvenue@univ-lyon1.fr"), person("Christian","Robert",role="aut"))
Depends: R (>= 2.2.0), methods, copula
Imports: mnormt, partitions, maxLik, mnormpow, VGAM
Suggests: rgl, snowfall, MASS, SpatialExtremes
Description: Inference of high dimensional max-stable distributions, from the paper "Likelihood based inference for high-dimensional extreme value distributions", by A. Bienvenüe and C. Robert, arXiv:1403.0065 [stat.AP].
License: GPL (>= 2)
URL: http://arxiv.org/abs/1403.0065
Packaged: 2014-10-08 19:15:57 UTC; alexis
Author: Alexis Bienvenüe [aut, cre], Christian Robert [aut]
Maintainer: Alexis Bienvenüe
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-08 21:57:23

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New package bdscale with initial version 1.0
Package: bdscale
Version: 1.0
Date: 2014-10-08
Title: Remove weekends and holidays from ggplot2 axes
Author: Dave Mills
Maintainer: Dave Mills
Depends: R (>= 3.0)
Imports: ggplot2, scales
Suggests: magrittr, dplyr
URL: http://github.com/dvmlls/bdscale
Description: Provides a continuous date scale, omitting weekends and holidays
License: GPL-2
Packaged: 2014-10-08 20:14:28 UTC; David.Mills
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-08 22:27:33

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Package seqDesign updated to version 1.0.2 with previous version 1.0.1 dated 2014-04-17

Title: Simulation and group sequential monitoring of randomized multi-arm two-stage Phase IIb/III treatment efficacy trials with time-to-event endpoints
Description: This package implements the preventive vaccine efficacy trial design of Gilbert, Grove et al. (2011, Statistical Communications in Infectious Diseases), and applies generally to individual-randomized clinical trials with multiple active treatment groups and a shared placebo group, with a study endpoint that is a time-to-event endpoint subject to right-censoring. The design accounts for the issues that the efficacy of the treatment/vaccine groups may take time to accrue while the multiple treatment administrations/vaccinations are given; there is interest in assessing the durability of treatment efficacy over time; and group sequential monitoring of each treatment arm for potential harm, non-efficacy/efficacy futility, and high efficacy is warranted. The design divides the trial into two stages of time periods, where each treatment is first evaluated for efficacy in the first stage of follow-up, and, if and only if it shows significant treatment efficacy in stage one, it is evaluated for longer-term durability of efficacy in stage two. The package produces plots and tables describing operating characteristics of a specified design including an unconditional power for intention-to-treat and per-protocol/as-treated analyses; trial duration; probabilities of the different possible trial outcomes (e.g., stopping early for efficacy futility); unconditional power for comparing treatment efficacy; and distributions of numbers of endpoint events occurring after the treatments/vaccinations are given, useful as input parameters for the design of studies of the association of biomarkers with outcome (surrogate endpoint problem). The code can be used for a single active treatment versus control design and for a single-stage design.
Author: Michal Juraska and Doug Grove, with contributions from Xuesong Yu and Peter B. Gilbert
Maintainer: Michal Juraska

Diff between seqDesign versions 1.0.1 dated 2014-04-17 and 1.0.2 dated 2014-10-08

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Package sequenza updated to version 2.1.0 with previous version 2.0.0 dated 2014-04-08

Title: Copy number estimation from tumor genome sequencing data.
Description: This package provides tools to analyze genomic sequencing data from paired normal-tumor samples, including cellularity and ploidy estimation; mutation and copy number (allele-specific and total copy number) detection, quantification and visualization.
Author: Francesco Favero, Andrea M. Marquard, Tejal Joshi, Aron C. Eklund
Maintainer: Francesco Favero

Diff between sequenza versions 2.0.0 dated 2014-04-08 and 2.1.0 dated 2014-10-08

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Package geospt updated to version 1.0-0 with previous version 0.5-0 dated 2012-04-24

Title: Spatial geostatistics; some geostatistical and radial basis functions, prediction and cross validation; design of optimal spatial sampling networks based on geostatistical modelling
Description: This package contains functions for: estimation of the variogram through trimmed mean, radial basis functions (optimization, prediction and cross-validation), summary statistics from cross-validation, pocket plot, and design of optimal sampling networks through sequential and simultaneous points methods
Author: Carlos Melo , Alí Santacruz, Oscar Melo
Maintainer: Alí Santacruz

Diff between geospt versions 0.5-0 dated 2012-04-24 and 1.0-0 dated 2014-10-08

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Package pvclust updated to version 1.3-0 with previous version 1.2-2 dated 2011-04-13

Title: Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling
Description: pvclust is a package for assessing the uncertainty in hierarchical cluster analysis. It provides AU (approximately unbiased) p-values as well as BP (boostrap probability) values computed via multiscale bootstrap resampling.
Author: Ryota Suzuki , Hidetoshi Shimodaira
Maintainer: Ryota Suzuki

Diff between pvclust versions 1.2-2 dated 2011-04-13 and 1.3-0 dated 2014-10-08

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Package cclust updated to version 0.6-19 with previous version 0.6-18 dated 2014-01-26

Title: Convex Clustering Methods and Clustering Indexes
Description: Convex Clustering methods, including K-means algorithm, On-line Update algorithm (Hard Competitive Learning) and Neural Gas algorithm (Soft Competitive Learning), and calculation of several indexes for finding the number of clusters in a data set.
Author: Evgenia Dimitriadou [aut], Kurt Hornik [ctb, cre]
Maintainer: Kurt Hornik

Diff between cclust versions 0.6-18 dated 2014-01-26 and 0.6-19 dated 2014-10-08

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Package subselect updated to version 0.12-4 with previous version 0.12-3 dated 2013-07-09

Title: Selecting variable subsets
Description: A collection of functions which (i) assess the quality of variable subsets as surrogates for a full data set, in either an exploratory data analysis or in the context of a multivariate linear model, and (ii) search for subsets which are optimal under various criteria.
Author: Jorge Orestes Cerdeira [aut], Pedro Duarte Silva [aut], Jorge Cadima [aut, cre], Manuel Minhoto [aut]
Maintainer: Jorge Cadima

Diff between subselect versions 0.12-3 dated 2013-07-09 and 0.12-4 dated 2014-10-08

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Package moult updated to version 1.4 with previous version 1.3 dated 2013-08-08

Title: Models for analysing moult in birds
Description: Functions to estimate start and duration of moult from moult data (of types 1 to 5), based on models developed in Underhill and Zucchini (1988, 1990). Allows modelling parameters as functions of covariates.
Author: Birgit Erni . Based on models developed by Underhill and Zucchini (1988, 1990).
Maintainer: Birgit Erni

Diff between moult versions 1.3 dated 2013-08-08 and 1.4 dated 2014-10-08

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Package frailtypack updated to version 2.7.1 with previous version 2.7 dated 2014-08-30

Title: General Frailty models: shared, joint and nested frailty models with prediction
Description: Frailtypack fits several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation. 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of joint modelling for recurrent events with terminal event for clustered data or not. Prediction values are available. Left-truncated (not for Joint model), right-censored data, interval-censored data (only for Cox proportional hazard and shared frailty model) and strata are allowed. In each model, the random effects have a gamma distribution, but you can switch to a log-normal in shared and joint models. Now, you can also consider time-varying covariates effects in Cox, shared and joint models. The package includes concordance measures for Cox proportional hazards models and for shared frailty models.
Author: Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey Mauguen, Agnieszka Krol-Listwon, Amadou Diakite and Alexandre Laurent
Maintainer: Virginie Rondeau

Diff between frailtypack versions 2.7 dated 2014-08-30 and 2.7.1 dated 2014-10-08

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Package Rdsm updated to version 2.1.1 with previous version 2.0.2 dated 2013-08-20

Title: Threads Environment for R
Description: Provides a threads-type programming environment for R. The package gives the R programmer the clearer, more concise shared memory world view, and in some cases gives superior performance as well. In addition, it enables parallel processing on very large, out-of-core matrices.
Author: Norm Matloff
Maintainer: Norm Matloff

Diff between Rdsm versions 2.0.2 dated 2013-08-20 and 2.1.1 dated 2014-10-08

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Package quantmod updated to version 0.4-2 with previous version 0.4-1 dated 2014-10-03

Title: Quantitative Financial Modelling Framework
Description: Specify, build, trade, and analyse quantitative financial trading strategies.
Author: Jeffrey A. Ryan
Maintainer: ORPHANED

Diff between quantmod versions 0.4-1 dated 2014-10-03 and 0.4-2 dated 2014-10-08

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Package dplyr updated to version 0.3.0.1 with previous version 0.3 dated 2014-10-04

Title: A Grammar of Data Manipulation
Description: A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Author: Hadley Wickham [aut, cre], Romain Francois [aut], RStudio [cph]
Maintainer: Hadley Wickham

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