Sat, 30 Jul 2016

Package TCGAretriever updated to version 1.3 with previous version 1.1 dated 2016-07-13

Title: Retrieve Genomic and Clinical Data from TCGA
Description: The Cancer Genome Atlas (TCGA) is a program aimed at improving our understanding of Cancer Biology. Several TCGA Datasets are available online. 'TCGAretriever' helps accessing and downloading TCGA data hosted on 'cBioPortal' via its Web Interface (see <http://www.cbioportal.org/web_api.jsp> for more information). Features of 'TCGAretriever' include: 1) it is very simple to use (get all the TCGA data you need with a few lines of code); 2) performance (smooth and reliable data download via 'httr'); 3) it is tailored for downloading large volumes of data.
Author: Damiano Fantini
Maintainer: Damiano Fantini <damiano.fantini@gmail.com>

Diff between TCGAretriever versions 1.1 dated 2016-07-13 and 1.3 dated 2016-07-30

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Package lrgs updated to version 0.5.1 with previous version 0.4.2 dated 2015-09-05

Title: Linear Regression by Gibbs Sampling
Description: Implements a Gibbs sampler to do linear regression with multiple covariates, multiple responses, Gaussian measurement errors on covariates and responses, Gaussian intrinsic scatter, and a covariate prior distribution which is given by either a Gaussian mixture of specified size or a Dirichlet process with a Gaussian base distribution.
Author: Adam Mantz
Maintainer: Adam Mantz <amantz@slac.stanford.edu>

Diff between lrgs versions 0.4.2 dated 2015-09-05 and 0.5.1 dated 2016-07-30

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Package BetaBit updated to version 1.3 with previous version 1.2.2 dated 2016-06-01

Title: Mini Games from Adventures of Beta and Bit
Description: Three games: proton, frequon and regression. Each one is a console-based data-crunching game for younger and older data scientists. Act as a data-hacker and find Slawomir Pietraszko's credentials to the Proton server. In proton you have to solve four data-based puzzles to find the login and password. There are many ways to solve these puzzles. You may use loops, data filtering, ordering, aggregation or other tools. Only basics knowledge of R is required to play the game, yet the more functions you know, the more approaches you can try. In frequon you will help to perform statistical cryptanalytic attack on a corpus of ciphered messages. This time seven sub-tasks are pushing the bar much higher. Do you accept the challenge? In regression you will test your modeling skills in a series of eight sub-tasks. Try only if ANOVA is your close friend. It's a part of Beta and Bit project. You will find more about the Beta and Bit project at <http://betabit.wiki>.
Author: Przemyslaw Biecek [aut, cre], Witold Chodor [trl], Katarzyna Fak [aut], Tomasz Zoltak [aut], Foundation SmarterPoland.pl [cph]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between BetaBit versions 1.2.2 dated 2016-06-01 and 1.3 dated 2016-07-30

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Package spdep updated to version 0.6-6 with previous version 0.6-5 dated 2016-06-02

Title: Spatial Dependence: Weighting Schemes, Statistics and Models
Description: A collection of functions to create spatial weights matrix objects from polygon contiguities, from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial autocorrelation, including global Moran's I, APLE, Geary's C, Hubert/Mantel general cross product statistic, Empirical Bayes estimates and Assunção/Reis Index, Getis/Ord G and multicoloured join count statistics, local Moran's I and Getis/Ord G, saddlepoint approximations and exact tests for global and local Moran's I; and functions for estimating spatial simultaneous autoregressive (SAR) lag and error models, impact measures for lag models, weighted and unweighted SAR and CAR spatial regression models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial two stage least squares models.
Author: Roger Bivand [cre, aut], Micah Altman [ctb], Luc Anselin [ctb], Renato Assunção [ctb], Olaf Berke [ctb], Andrew Bernat [ctb], Guillaume Blanchet [ctb], Eric Blankmeyer [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Stéphane Dray [ctb], Virgilio Gómez-Rubio [ctb], Martin Gubri [ctb], Rein Halbersma [ctb], Elias Krainski [ctb], Pierre Legendre [ctb], Nicholas Lewin-Koh [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Abhirup Mallik [ctb, trl], Giovanni Millo [ctb], Werner Mueller [ctb], Hisaji Ono [ctb], Pedro Peres-Neto [ctb], Gianfranco Piras [ctb], Markus Reder [ctb], Michael Tiefelsdorf [ctb], Danlin Yu [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between spdep versions 0.6-5 dated 2016-06-02 and 0.6-6 dated 2016-07-30

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Package Copula.Markov updated to version 1.1 with previous version 1.0 dated 2015-03-23

Title: Estimation and Statistical Process Control Under Copula-Based Time Series Models
Description: Estimation and statistical process control are performed under copula-based time-series models.
Author: Takeshi Emura and Ting-Hsuan Long
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

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Package wnominate updated to version 1.2 with previous version 0.99 dated 2014-09-23

Title: Roll Call Analysis Software
Description: Estimates Poole and Rosenthal W-NOMINATE 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>

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Package RCMIP5 updated to version 1.2.0 with previous version 1.1 dated 2014-11-24

Title: Tools for Manipulating and Summarizing CMIP5 Data
Description: Working with CMIP5 data can be tricky, forcing scientists to write custom scripts and programs. The `RCMIP5` package aims to ease this process, providing a standard, robust, and high-performance set of scripts to (i) explore what data have been downloaded, (ii) identify missing data, (iii) average (or apply other mathematical operations) across experimental ensembles, (iv) produce both temporal and spatial statistical summaries, and (v) produce easy-to-work-with graphical and data summaries.
Author: Ben Bond-Lamberty [aut], Kathe Todd-Brown [aut, cre]
Maintainer: Kathe Todd-Brown <ktoddbrown@gmail.com>

Diff between RCMIP5 versions 1.1 dated 2014-11-24 and 1.2.0 dated 2016-07-30

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More information about RCMIP5 at CRAN
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Package PGEE updated to version 1.3 with previous version 1.2 dated 2016-05-13

Title: Penalized Generalized Estimating Equations in High-Dimension
Description: Fits penalized generalized estimating equations to longitudinal data with high-dimensional covariates.
Author: Gul Inan (Visiting scholar, University of Minnesota), Jianhui Zhou (Associate Professor, University of Virginia) and Lan Wang (Professor, University of Minnesota)
Maintainer: Gul Inan <inanx002@umn.edu>

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Package gtrendsR updated to version 1.3.4 with previous version 1.3.3 dated 2016-03-08

Title: R Functions to Perform and Display Google Trends Queries
Description: An interface for retrieving and displaying the information returned online by Google Trends is provided. Trends (number of hits) over the time as well as geographic representation of the results can be displayed.
Author: Philippe Massicotte [aut, cre], Dirk Eddelbuettel [aut]
Maintainer: Philippe Massicotte <pmassicotte@hotmail.com>

Diff between gtrendsR versions 1.3.3 dated 2016-03-08 and 1.3.4 dated 2016-07-30

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Package FuzzyStatProb updated to version 2.0.2 with previous version 2.0.1 dated 2015-06-15

Title: Fuzzy Stationary Probabilities from a Sequence of Observations of an Unknown Markov Chain
Description: An implementation of a method for computing fuzzy numbers representing stationary probabilities of an unknown Markov chain, from which a sequence of observations along time has been obtained. The algorithm is based on the proposal presented by James Buckley in his book on Fuzzy probabilities (Springer, 2005), chapter 6. Package 'FuzzyNumbers' is used to represent the output probabilities.
Author: Author: Pablo J. Villacorta <pjvi@decsai.ugr.es>
Maintainer: Pablo J. Villacorta <pjvi@decsai.ugr.es>

Diff between FuzzyStatProb versions 2.0.1 dated 2015-06-15 and 2.0.2 dated 2016-07-30

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New package WPC with initial version 1.0
Package: WPC
Type: Package
Title: Weighted Predictiveness Curve
Version: 1.0
Date: 2016-07-29
Author: Hui Yang <huiy@amgen.com>, Rui Tang <rui_rui_tang@vrtx.com>, Jing Huang <jinghuang0@gmail.com>
Maintainer: Hui Yang <huiy@amgen.com>
Description: Implementing weighted predictiveness curve to visualize the marker-by-treatment relationship and measure the performance of biomarkers for guiding treatment decision.
License: LGPL (>= 2)
Depends: survival, msm
LazyData: true
NeedsCompilation: no
Packaged: 2016-07-29 22:40:04 UTC; huiy
Repository: CRAN
Date/Publication: 2016-07-30 09:30:28

More information about WPC at CRAN
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New package time2event with initial version 0.1.0
Package: time2event
Type: Package
Title: Survival and Competing Risk Analyses with Time-to-Event Data as Covariates
Version: 0.1.0
Author: Seongho Kim
Maintainer: Seongho Kim <biostatistician.kim@gmail.com>
Depends: survival, timereg
Description: Cox proportional hazard and competing risk regression analyses can be performed with time-to-event data as covariates.
License: GPL-2
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-07-29 22:55:49 UTC; kimse
Repository: CRAN
Date/Publication: 2016-07-30 09:30:37

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Package sjstats updated to version 0.3.0 with previous version 0.2.0 dated 2016-06-20

Title: Collection of Convenient Functions for Common Statistical Computations
Description: Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and can be applied not only to vectors, but also to other objects as well (e.g., the Coefficient of Variation can be computed for vectors, linear models, or linear mixed models; the r2()-function returns the r-squared value for 'lm', 'glm', 'merMod' or 'lme' objects). The focus of most functions lies on summary statistics or fit measures for regression models, including generalized linear models and mixed effects models. However, some of the functions also deal with other statistical measures, like Cronbach's Alpha, Cramer's V, Phi etc.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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New package spdplyr with initial version 0.1.2
Package: spdplyr
Type: Package
Version: 0.1.2
Title: Data Manipulation Verbs for the Spatial Classes
Description: Methods for 'dplyr' verbs for 'sp' 'Spatial' classes. The basic verbs that modify data attributes, remove or re-arrange rows are supported and provide complete 'Spatial' analogues of the input data. The group by and summarize workflow returns a non-topological spatial union. There is limited support for joins, with left and inner to copy attributes from another table.
Authors@R: c(person("Michael D.","Sumner", role = c("aut", "cre"), email = "mdsumner@gmail.com"), person("Joscha", "Legewie", role = "ctb"))
URL: https://github.com/mdsumner/spdplyr
BugReports: https://github.com/mdsumner/spdplyr/issues
Depends: R (>= 3.2.3), dplyr, sp
Imports: lazyeval, methods, spbabel, tibble
Suggests: testthat, maptools, raster, rmarkdown, knitr, covr
VignetteBuilder: knitr
LazyData: yes
License: GPL-3
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-29 22:50:59 UTC; michae_sum
Author: Michael D. Sumner [aut, cre], Joscha Legewie [ctb]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2016-07-30 09:30:36

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Package RSelenium updated to version 1.4.0 with previous version 1.3.5 dated 2014-10-26

Title: R Bindings for Selenium WebDriver
Description: The RSelenium package provides a set of R bindings for the Selenium 2.0 WebDriver using the JsonWireProtocol. Selenium automates web browsers (commonly referred to as browsers). Using RSelenium you can automate browsers locally or remotely.
Author: John Harrison <johndharrison0@gmail.com>
Maintainer: John Harrison <johndharrison0@gmail.com>

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Package QCA3 updated to version 0.0-8 with previous version 0.0-7 dated 2014-04-27

Title: Yet Another Package for Qualitative Comparative Analysis
Description: A set of functions for Qualitative Comparative Analysis (QCA). It can be used for various types of QCA (csQCA, mvQCA fsQCA and crisp set TQCA and time-serious QCA). It has methods for simplifying assumption, contradictory simplifying assumption.
Author: Ronggui HUANG
Maintainer: Ronggui HUANG<ronggui.huang@gmail.com>

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Package oec updated to version 1.0.3 with previous version 1.0.2 dated 2016-07-27

Title: The Observatory of Economic Complexity
Description: Use The Observatory of Economic Complexity's API from R console to obtain international trade data to create spreadsheets (csv format) and D3Plus visualizations.
Author: Mauricio Vargas S. <mauriciovargas@ug.uchile.cl>
Maintainer: Mauricio Vargas S. <mauriciovargas@ug.uchile.cl>

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Package NNS updated to version 0.1.9.4 with previous version 0.1.9.2 dated 2016-06-14

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments.
Author: Fred Viole
Maintainer: Fred Viole <viole.nawrocki@gmail.com>

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Package ggpmisc updated to version 0.2.10 with previous version 0.2.9 dated 2016-06-18

Title: Miscellaneous Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Provides new statistics to locate and tag peaks and valleys in 2D plots, a statistics to add a label with the equation of a polynomial fitted with lm(), or R^2 or adjusted R^2 or information criteria for any model fitted with function lm(). Additional statistics give access to functions in package 'broom'. Provides a function for flexibly converting time series to data frames suitable for plotting with ggplot(). In addition provides two statistics and two geometries useful for diagnosing what data are passed to compute_group() and compute_panel() functions and to geometries.
Author: Pedro J. Aphalo [aut, cre]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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