Sat, 28 Nov 2015

New package reda with initial version 0.2.1
Package: reda
Title: Recurrent Event Data Analysis
Version: 0.2.1
Date: 2015-11-28
Authors@R: c( person(given = "Wenjie", family = "Wang", email = "wenjie.2.wang@uconn.edu", role = c("aut", "cre")), person(given = "Haoda", family = "Fu", role = "aut"), person(given = "Jun", family = "Yan", role = "ctb") )
Description: Functions that fit gamma frailty model with spline or piecewise constant baseline rate function for recurrent event data, compute and plot parametric mean cumulative function (MCF) from a fitted model as well as nonparametric sample MCF (Nelson-Aalen estimator) are provided. Most functions are S4 methods that produce S4 class objects.
Imports: ggplot2, grDevices, methods, plyr, splines, stats, utils
Suggests: knitr
Depends: R (>= 3.2.0)
License: GPL (>= 3)
LazyData: true
VignetteBuilder: knitr
Collate: 'class.R' 'aic.R' 'baseline.R' 'coef.R' 'data.R' 'dataCheck.R' 'fit.R' 'mcf.R' 'plot.R' 'reda.R' 'show.R' 'summary.R'
URL: https://github.com/wenjie2wang/reda
BugReports: https://github.com/wenjie2wang/reda/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-11-28 19:11:11 UTC; wenjie
Author: Wenjie Wang [aut, cre], Haoda Fu [aut], Jun Yan [ctb]
Maintainer: Wenjie Wang <wenjie.2.wang@uconn.edu>
Repository: CRAN
Date/Publication: 2015-11-28 23:18:33

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Package pedometrics updated to version 0.6-4 with previous version 0.6-3 dated 2015-07-29

Title: Pedometric Tools and Techniques
Description: Functions to employ many of the tools and techniques used in the field of pedometrics.
Author: Alessandro Samuel-Rosa [aut, cre], LĂșcia Anjos [ths], Gustavo Vasques [ths], Gerard Heuvelink [ths], Tony Olsen [ctb], Tom Kincaid [ctb], Juan Carlos Ruiz Cuetos [ctb], Maria Eugenia Polo Garcia [ctb], Pablo Garcia Rodriguez [ctb], Joshua French [ctb], Ken Kleinman [ctb], Dick Brus [ctb], Frank Harrell Jr [ctb], Ruo Xu [ctb]
Maintainer: Alessandro Samuel-Rosa <alessandrosamuelrosa@gmail.com>

Diff between pedometrics versions 0.6-3 dated 2015-07-29 and 0.6-4 dated 2015-11-28

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 50 files changed, 510 insertions(+), 428 deletions(-)

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New package gtrendsR with initial version 1.3.0
Package: gtrendsR
Type: Package
Title: R Functions to Perform and Display Google Trends Queries
Version: 1.3.0
Date: 2015-11-28
Authors@R: c(person("Philippe", "Massicotte", email = "pmassicotte@hotmail.com", role = c("aut", "cre")), person("Dirk", "Eddelbuettel", email = "edd@debian.org", role = "aut"))
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.
License: GPL (>= 2)
BugReports: https://github.com/PMassicotte/gtrendsR/issues
URL: https://github.com/PMassicotte/gtrendsR
Depends: R (>= 3.0)
Imports: RCurl, googleVis, zoo, RColorBrewer, ggplot2
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-11-28 17:51:07 UTC; Filoche
Author: Philippe Massicotte [aut, cre], Dirk Eddelbuettel [aut]
Maintainer: Philippe Massicotte <pmassicotte@hotmail.com>
Repository: CRAN
Date/Publication: 2015-11-28 19:33:50

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Package ctmm updated to version 0.3.0 with previous version 0.2.9 dated 2015-10-14

Title: Continuous-Time Movement Modeling
Description: Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic movement models to animal tracking data.
Author: Chris H. Fleming and J. M. Calabrese
Maintainer: C. H. Fleming <flemingc@si.edu>

Diff between ctmm versions 0.2.9 dated 2015-10-14 and 0.3.0 dated 2015-11-28

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 39 files changed, 1418 insertions(+), 817 deletions(-)

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Package radiomics updated to version 0.1.1 with previous version 0.1.0 dated 2015-11-22

Title: Radiomic Image Processing Toolbox
Description: Functions to extract first and second order statistics from images.
Author: Joel Carlson
Maintainer: Joel Carlson <jnkcarlson@gmail.com>

Diff between radiomics versions 0.1.0 dated 2015-11-22 and 0.1.1 dated 2015-11-28

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New package rPowerSampleSize with initial version 1.0
Package: rPowerSampleSize
Type: Package
Title: Sample Size Computations Controlling the Type-II Generalized Family-Wise Error Rate
Version: 1.0
Date: 2015-11-28
License: GPL (> 2)
LazyLoad: yes
Author: Pierre Lafaye de Micheaux, Benoit Liquet and Jeremie Riou
Maintainer: Pierre Lafaye de Micheaux <lafaye@dms.umontreal.ca>
Description: The significance of mean difference tests in clinical trials is established if at least r null hypotheses are rejected among m that are simultaneously tested. This package enables one to compute necessary sample sizes for single-step (Bonferroni) and step-wise procedures (Holm and Hochberg). These three procedures control the q-generalized family-wise error rate (probability of making at least q false rejections). Sample size is computed (for these single-step and step-wise procedures) in a such a way that the r-power (probability of rejecting at least r false null hypotheses, i.e. at least r significant endpoints among m) is above some given threshold, in the context of tests of difference of means for two groups of continuous endpoints (variables). Various types of structure of correlation are considered. It is also possible to analyse data (i.e., actually test difference in means) when these are available. The case r equals 1 is treated in separate functions that were used in Lafaye de Micheaux et al. (2014) <doi:10.1080/10543406.2013.860156>.
Depends: R (>= 2.10.0), mvtnorm, stats, ssanv, parallel
Packaged: 2015-11-28 12:35:04 UTC; lafaye
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-11-28 14:53:52

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Package Matrix updated to version 1.2-3 with previous version 1.2-2 dated 2015-07-08

Title: Sparse and Dense Matrix Classes and Methods
Description: Classes and methods for dense and sparse matrices and operations on them using 'LAPACK' and 'SuiteSparse'.
Author: Douglas Bates <bates@stat.wisc.edu> and Martin Maechler
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

Diff between Matrix versions 1.2-2 dated 2015-07-08 and 1.2-3 dated 2015-11-28

 DESCRIPTION                             |    8 -
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 R/ldenseMatrix.R                        |   14 --
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 72 files changed, 643 insertions(+), 480 deletions(-)

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Package imPois updated to version 0.0.7.5 with previous version 0.0.6.4 dated 2015-11-21

Title: Imprecise Inferential Framework for Poisson Sampling Model
Description: A collection of tools for conducting an imprecise inference is provided. Imprecise prior is used for this inference, and imprecise probability theory introduced by Peter Walley (1991) is its underlying theoretical foundation. The package is developed based on the PhD thesis work of Lee (2014). Poisson and zero-truncated Poisson sampling models are mainly studied with two types of prior distributions.
Author: Chel Hee Lee [aut, cre, cph], Mikelis Bickis [aut, ths, cph]
Maintainer: Chel Hee Lee <chl948@mail.usask.ca>

Diff between imPois versions 0.0.6.4 dated 2015-11-21 and 0.0.7.5 dated 2015-11-28

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 38 files changed, 160 insertions(+), 131 deletions(-)

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New package ELMR with initial version 1.0
Package: ELMR
Title: Extreme Machine Learning (ELM)
Version: 1.0
Authors@R: person("Alessio", "Petrozziello", email = "alessio.petrozziello@port.ac.uk", role = c("aut", "cre"))
Author: Alessio Petrozziello [aut, cre]
Maintainer: Alessio Petrozziello <alessio.petrozziello@port.ac.uk>
Description: Training and prediction functions are provided for the Extreme Learning Machine algorithm (ELM). The ELM use a Single Hidden Layer Feedforward Neural Network (SLFN) with random generated weights and no gradient-based backpropagation. The training time is very short and the online version allows to update the model using small chunk of the training set at each iteration. The only parameter to tune is the hidden layer size and the learning function.
Depends: R (>= 3.2.2)
License: GPL-2 | GPL-3
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-11-28 11:19:30 UTC; Alessio
Repository: CRAN
Date/Publication: 2015-11-28 14:53:50

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Package wtcrsk updated to version 1.5 with previous version 1.4 dated 2015-09-22

Title: Competing Risks Regression Models with Covariate-Adjusted Censoring Weights
Description: Estimation and regression modeling of subdistribution functions for competing risks data with adjustment for covariate-dependent censoring, as described in He et al. (2015).
Author: Peng He
Maintainer: Peng He <saturnhp@gmail.com>

Diff between wtcrsk versions 1.4 dated 2015-09-22 and 1.5 dated 2015-11-28

 DESCRIPTION           |   10 +++++-----
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 4 files changed, 16 insertions(+), 12 deletions(-)

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Package RStoolbox updated to version 0.1.3 with previous version 0.1.2 dated 2015-11-03

Title: Tools for Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as calculating spectral indices, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [cre, aut], Ned Horning [aut]
Maintainer: Benjamin Leutner <benjamin.leutner@uni-wuerzburg.de>

Diff between RStoolbox versions 0.1.2 dated 2015-11-03 and 0.1.3 dated 2015-11-28

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 RStoolbox-0.1.3/RStoolbox/man/pifMatch.Rd                     |   12 
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 RStoolbox-0.1.3/RStoolbox/man/rasterPCA.Rd                    |    5 
 RStoolbox-0.1.3/RStoolbox/man/readEE.Rd                       |    7 
 RStoolbox-0.1.3/RStoolbox/man/readMeta.Rd                     |    3 
 RStoolbox-0.1.3/RStoolbox/man/readSLI.Rd                      |    4 
 RStoolbox-0.1.3/RStoolbox/man/rescaleImage.Rd                 |    2 
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 RStoolbox-0.1.3/RStoolbox/man/rsOpts.Rd                       |    3 
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 RStoolbox-0.1.3/RStoolbox/man/srtm.Rd                         |    2 
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 RStoolbox-0.1.3/RStoolbox/man/tasseledCap.Rd                  |    2 
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 RStoolbox-0.1.3/RStoolbox/man/unsuperClass.Rd                 |   10 
 RStoolbox-0.1.3/RStoolbox/man/writeSLI.Rd                     |    4 
 RStoolbox-0.1.3/RStoolbox/src/gainOffsetRescale.cpp           |    2 
 RStoolbox-0.1.3/RStoolbox/src/predictKmeans.cpp               |    2 
 RStoolbox-0.1.3/RStoolbox/tests/testthat/test-ggplot.R        |    6 
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 66 files changed, 484 insertions(+), 351 deletions(-)

More information about RStoolbox at CRAN
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Package jsonlite updated to version 0.9.19 with previous version 0.9.18 dated 2015-11-25

Title: A Robust, High Performance JSON Parser and Generator for R
Description: A fast JSON parser and generator optimized for statistical data and the web. Started out as a fork of 'RJSONIO', but has been completely rewritten in recent versions. The package offers flexible, robust, high performance tools for working with JSON in R and is particularly powerful for building pipelines and interacting with a web API. The implementation is based on the mapping described in the vignette (Ooms, 2014). In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.
Author: Jeroen Ooms, Duncan Temple Lang, Lloyd Hilaiel
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between jsonlite versions 0.9.18 dated 2015-11-25 and 0.9.19 dated 2015-11-28

 jsonlite-0.9.18/jsonlite/R/onLoad.R                |only
 jsonlite-0.9.19/jsonlite/DESCRIPTION               |    6 +++---
 jsonlite-0.9.19/jsonlite/MD5                       |   15 +++++++--------
 jsonlite-0.9.19/jsonlite/NAMESPACE                 |    1 -
 jsonlite-0.9.19/jsonlite/NEWS                      |    4 ++++
 jsonlite-0.9.19/jsonlite/R/fromJSON.R              |    4 ++--
 jsonlite-0.9.19/jsonlite/R/toJSON.R                |   10 ----------
 jsonlite-0.9.19/jsonlite/inst/doc/json-mapping.pdf |binary
 jsonlite-0.9.19/jsonlite/man/fromJSON.Rd           |    1 -
 9 files changed, 16 insertions(+), 25 deletions(-)

More information about jsonlite at CRAN
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New package ICBayes with initial version 1.0
Package: ICBayes
Title: Bayesian Semiparametric Models for Interval-Censored Data
Version: 1.0
Date: 2015-11-22
Author: Chun Pan, Bo Cai, Lianming Wang, and Xiaoyan Lin
Maintainer: Chun Pan <chunpan2003@hotmail.com>
Description: Contains functions to fit Bayesian semiparametric regression survival models (proportional hazards model, proportional odds model, and probit model) to interval-censored time-to-event data.
License: GPL (>= 2)
LazyLoad: yes
Depends: HI, survival
Packaged: 2015-11-27 21:36:46 UTC; xiaoluobo
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-11-28 09:53:15

More information about ICBayes at CRAN
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