Thu, 14 May 2015

Package tcR updated to version 2.0 with previous version 1.3 dated 2015-03-21

Title: Advanced Data Analysis of T Cell Receptor Repertoires
Description: Platform for the advanced analysis of T cell receptor repertoires data and visualisation of the analysis results.
Author: Vadim Nazarov
Maintainer: Vadim Nazarov <vdm.nazarov@gmail.com>

Diff between tcR versions 1.3 dated 2015-03-21 and 2.0 dated 2015-05-14

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Package Surrogate updated to version 0.1-6 with previous version 0.1-5 dated 2015-03-26

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a biomarker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author: Wim Van der Elst, Ariel Alonso & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>

Diff between Surrogate versions 0.1-5 dated 2015-03-26 and 0.1-6 dated 2015-05-14

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Package sdprisk updated to version 1.1-3 with previous version 1.1-0 dated 2015-04-29

Title: Measures of Risk for the Compound Poisson Risk Process with Diffusion
Description: The main purpose of this package is to provide saddlepoint approximations to some measures of risk, based on the compound Poisson risk process that is perturbed by a Brownian motion. Various approximation methods for the probability of ruin are also included. Furthermore, exact values of both the risk measures as well as the probability of ruin are available if the individual claims follow a hypo-exponential distribution (i. e., if it can be represented as a sum of independent exponentially distributed random variables with different rate parameters).
Author: Benjamin Baumgartner [aut, cre], Riccardo Gatto [ctb, ths], Sebastian Szugat [ctb]
Maintainer: Benjamin Baumgartner <benjamin@baumgrt.com>

Diff between sdprisk versions 1.1-0 dated 2015-04-29 and 1.1-3 dated 2015-05-14

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Package pmr updated to version 1.2.5 with previous version 1.2.4 dated 2014-05-17

Title: Probability Models for Ranking Data
Description: Descriptive statistics (mean rank, pairwise frequencies, and marginal matrix), Analytic Hierarchy Process models (with Saaty's and Koczkodaj's inconsistencies), probability models (Luce models, distance-based models, and rank-ordered logit models) and visualization with multidimensional preference analysis for ranking data are provided. Current, only complete rankings are supported by this package.
Author: Paul H. Lee and Philip L. H. Yu
Maintainer: Paul H. Lee <honglee@graduate.hku.hk>

Diff between pmr versions 1.2.4 dated 2014-05-17 and 1.2.5 dated 2015-05-14

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Package nbpMatching updated to version 1.4.5 with previous version 1.4.4 dated 2015-01-20

Title: Functions for Optimal Non-Bipartite Matching
Description: Perform non-bipartite matching and matched randomization. A "bipartite" matching utilizes two separate groups, e.g. smokers being matched to nonsmokers or cases being matched to controls. A "non-bipartite" matching creates mates from one big group, e.g. 100 hospitals being randomized for a two-arm cluster randomized trial or 5000 children who have been exposed to various levels of secondhand smoke and are being paired to form a greater exposure vs. lesser exposure comparison. At the core of a non-bipartite matching is a N x N distance matrix for N potential mates. The distance between two units expresses a measure of similarity or quality as mates (the lower the better). The 'gendistance()' and 'distancematrix()' functions assist in creating this. The 'nonbimatch()' function creates the matching that minimizes the total sum of distances between mates; hence, it is referred to as an "optimal" matching. The 'assign.grp()' function aids in performing a matched randomization. Note bipartite matching can be performed using the prevent option in 'gendistance()'.
Author: Cole Beck [aut, cre], Bo Lu [aut], Robert Greevy [aut]
Maintainer: Cole Beck <cole.beck@vanderbilt.edu>

Diff between nbpMatching versions 1.4.4 dated 2015-01-20 and 1.4.5 dated 2015-05-14

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New package FSInteract with initial version 0.1.1
Package: FSInteract
Type: Package
Title: Fast Searches for Interactions
Version: 0.1.1
Date: 2015-05-14
Author: Hyun Jik Kim, Rajen D. Shah
Maintainer: Rajen D. Shah <r.shah@statslab.cam.ac.uk>
Description: Performs fast detection of interactions in large-scale data using the method of random intersection trees introduced in ``Shah, R. D. and Meinshausen, N. (2014) Random Intersection Trees''. The algorithm finds potentially high-order interactions in high-dimensional binary two-class classification data, without requiring lower order interactions to be informative. The search is particularly fast when the matrices of predictors are sparse. It can also be used to perform market basket analysis when supplied with a single binary data matrix. Here it will find collections of columns which for many rows contain all 1's.
License: GPL-2
Depends: Rcpp (>= 0.11.2), Matrix (>= 1.0)
LinkingTo: Rcpp
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2015-05-14 15:01:12 UTC; rds37
Repository: CRAN
Date/Publication: 2015-05-15 00:04:47

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Package Anthropometry updated to version 1.2 with previous version 1.1 dated 2014-10-13

Title: Statistical Methods for Anthropometric Data
Description: Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the statistical concept of data depth, statistical shape analysis and archetypal analysis.
Author: Guillermo Vinue, Irene Epifanio, Amelia Simo, M. Victoria Ibanez, Juan Domingo, Guillermo Ayala
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>

Diff between Anthropometry versions 1.1 dated 2014-10-13 and 1.2 dated 2015-05-14

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Package yuima updated to version 1.0.71 with previous version 1.0.69 dated 2015-05-11

Title: The YUIMA Project Package for SDEs
Description: Simulation and Inference for Stochastic Differential Equations.
Author: YUIMA Project Team
Maintainer: Stefano M. Iacus <stefano.iacus@unimi.it>

Diff between yuima versions 1.0.69 dated 2015-05-11 and 1.0.71 dated 2015-05-14

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New package MCTM with initial version 1.0
Package: MCTM
Title: Markov Chains Transition Matrices
Description: Transition matrices (probabilities or counts) estimation for discrete Markov Chains of order n (1 <= n <= 5).
Version: 1.0
Author: Alessandro Bessi
Maintainer: Alessandro Bessi <alessandro.bessi@iusspavia.it>
Depends: R (>= 3.1.1)
License: GPL (>= 2)
LazyData: true
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-05-14 08:27:05

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Package gelnet updated to version 1.1 with previous version 1.0 dated 2015-02-03

Title: Generalized Elastic Nets
Description: Implements several extensions of the elastic net regularization scheme. These extensions include individual feature penalties for the L1 term, feature-feature penalties for the L2 term, as well as translation coefficients for the latter.
Author: Artem Sokolov
Maintainer: Artem Sokolov <artem.sokolov@gmail.com>

Diff between gelnet versions 1.0 dated 2015-02-03 and 1.1 dated 2015-05-14

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Package fitbitScraper updated to version 0.1.3 with previous version 0.1.2 dated 2015-03-25

Title: Scrapes Data from www.fitbit.com
Description: Scrapes data from www.fitbit.com. This does not use the official API, but instead uses the API that the web dashboard uses to generate the graphs displayed on the dashboard after login at www.fitbit.com.
Author: Cory Nissen <corynissen@gmail.com> [aut, cre]
Maintainer: Cory Nissen <corynissen@gmail.com>

Diff between fitbitScraper versions 0.1.2 dated 2015-03-25 and 0.1.3 dated 2015-05-14

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New package BinaryEPPM with initial version 1.0
Package: BinaryEPPM
Type: Package
Title: Mean and Variance Modeling of Binary Data
Version: 1.0
Imports: Formula, expm, numDeriv
Date: 2015-05-04
Author: David M Smith, Malcolm J Faddy
Maintainer: David M. Smith <david.m.smith@truvenhealth.com>
Description: Modeling under- and over-dispersed binary data using extended Poisson process models (EPPM).
License: GPL-2
NeedsCompilation: no
Packaged: 2015-05-05 00:19:15 UTC; U0117151
Repository: CRAN
Date/Publication: 2015-05-14 08:27:03

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