Wed, 13 Jan 2016

Package xkcd updated to version 0.0.5 with previous version 0.0.4 dated 2014-12-15

Title: Plotting ggplot2 Graphics in an XKCD Style
Description: Plotting ggplot2 graphs using the XKCD style.
Author: Emilio Torres-Manzanera
Maintainer: Emilio Torres-Manzanera <torres@uniovi.es>

Diff between xkcd versions 0.0.4 dated 2014-12-15 and 0.0.5 dated 2016-01-13

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Package tweet2r updated to version 0.4.1 with previous version 0.3 dated 2015-12-28

Title: Twitter Collector and Export to 'SQLite', 'postGIS' and 'GIS' Format
Description: This is an improved implementation of the package 'StreamR' to capture tweets and store it into a SQLite and 'postGIS' data base. The package simplifies the configuration task to capture tweets and facilitates its store into a 'PostGIS' database. Also exports tweets to 'GIS' format.
Author: Pau Aragó
Maintainer: Pau Aragó <parago@uji.es>

Diff between tweet2r versions 0.3 dated 2015-12-28 and 0.4.1 dated 2016-01-13

 ChangeLog      |   11 +++++++++++
 DESCRIPTION    |   14 ++++++--------
 MD5            |   17 +++++++++--------
 NAMESPACE      |    2 +-
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 10 files changed, 45 insertions(+), 30 deletions(-)

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Package rase updated to version 0.2-22 with previous version 0.2-21 dated 2015-11-09

Title: Range Ancestral State Estimation for Phylogeography and Comparative Analyses
Description: The rase package primarily implements the Range Ancestral State Estimation for phylogeography described in Quintero, I., Keil, P., Jetz, W., & Crawford, F. W. (2015). Historical Biogeography Using Species Geographical Ranges. Systematic biology, 64(6), 1059-1073. It also includes Bayesian inference of ancestral states under a Brownian Motion model of character evolution and Maximum Likelihood estimation of rase for n-dimensional data. Visualizing functions in 3D are implemented using the rgl package.
Author: Ignacio Quintero [aut, cre], Forrest W. Crawford [aut], Petr Keil [aut]
Maintainer: Ignacio Quintero <ignacio.quintero@yale.edu>

Diff between rase versions 0.2-21 dated 2015-11-09 and 0.2-22 dated 2016-01-13

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Package openssl updated to version 0.9 with previous version 0.8 dated 2015-12-14

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH pubkey parsers. Supports RSA, DSA and NIST curves P-256, P-384 and P-521. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES block cipher is used in CBC mode for symmetric encryption; RSA for asymmetric (public key) encryption. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [cre, aut], Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between openssl versions 0.8 dated 2015-12-14 and 0.9 dated 2016-01-13

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Package nbpMatching updated to version 1.5.0 with previous version 1.4.5 dated 2015-05-14

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 1.4.5 dated 2015-05-14 and 1.5.0 dated 2016-01-13

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 R/make.phantoms.R                 |    8 +++---
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Package molaR updated to version 0.3 with previous version 0.2 dated 2015-12-11

Title: Dental Surface Complexity Measurement Tools
Description: Surface topography calculations of Dirichlet's normal energy, relief index, and orientation patch count for teeth using scans of enamel caps. Importantly, for the relief index and orientation patch count calculations to work, the scanned tooth files must be oriented with the occlusal plane parallel to the x and y axes, and perpendicular to the z axis. The files should also be simplified, and smoothed in some other software prior to uploading into R.
Author: James D. Pampush [aut, cre, cph], Julia M. Winchester [aut, cph], Paul E. Morse [aut, cph], Alexander Q. Vining [aut, cph]
Maintainer: James D. Pampush <jdpampush@gmail.com>

Diff between molaR versions 0.2 dated 2015-12-11 and 0.3 dated 2016-01-13

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New package HWxtest with initial version 1.1.7
Package: HWxtest
Type: Package
Title: Exact Tests for Hardy-Weinberg Proportions
Version: 1.1.7
Date: 2015-12-22
Author: Bill Engels <wrengels@wisc.edu>
Maintainer: Bill Engels <wrengels@wisc.edu>
Description: Tests whether a set of genotype counts fits the HW expectations. Exact tests performed by an efficient algorithm. Included test statistics are likelihood ratio, probability, U-score and Pearson's X2.
VignetteBuilder: knitr, RefManageR
Depends: R (>= 2.14)
Suggests: ggplot2, rmarkdown, knitr, RefManageR, adegenet, genetics, parallel
NeedsCompilation: yes
License: GPL
RoxygenNote: 5.0.0
Packaged: 2016-01-13 19:20:44 UTC; WRE
Repository: CRAN
Date/Publication: 2016-01-13 23:01:13

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New package GiniWegNeg with initial version 1.0
Package: GiniWegNeg
Type: Package
Title: Computing the Gini Coefficient for Weighted and Negative Attributes
Version: 1.0
Imports: graphics
Date: 2016-01-13
Author: Emanuela Raffinetti, Fabio Aimar
Maintainer: Emanuela Raffinetti <emanuela.raffinetti@unimi.it>
Description: Computation of the Gini coefficient in the presence of weighted and/or negative attributes. Two different approaches are considered in order to fulfill, in the case of negative attributes, the normalization principle, that is a value of the Gini coefficient bounded into the close range [0,1]. The first approach is based on the proposal by Chen, Tsaur and Rhai (1982) and Berebbi and Silber (1985), while the second approach is based on a recent proposal by Raffinetti, Siletti and Vernizzi (2015). The plot of the curve of maximum inequality, defined in the contribution of Raffinetti, Siletti and Vernizzi (2015), is provided.
License: GPL-3
Packaged: 2016-01-13 20:10:15 UTC; Fabio
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-01-13 22:50:09

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Package geozoo updated to version 0.5.0 with previous version 0.4.3 dated 2014-01-03

Title: Zoo of Geometric Objects
Description: Geometric objects defined in geozoo can be simulated or displayed in the R package tourr.
Author: Barret Schloerke [aut, cre], Di Cook [ths], Hadley Wickham [ths]
Maintainer: Barret Schloerke <schloerke@gmail.com>

Diff between geozoo versions 0.4.3 dated 2014-01-03 and 0.5.0 dated 2016-01-13

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New package DecisionCurve with initial version 1.1
Package: DecisionCurve
Type: Package
Title: Calculate and Plot Decision Curves
Version: 1.1
Date: 2016-01-01
Author: Marshall Brown
Maintainer: Marshall Brown <mdbrown@fredhutch.org>
Description: Decision curves are a useful tool to evaluate the population impact of adopting a risk prediction instrument into clinical practice. Given one or more instruments (risk models) that predict the probability of a binary outcome, this package calculates and plots decision curves, which display estimates of the standardized net benefit by the probability threshold used to categorize observations as 'high risk.' Curves can be estimated using data from an observational cohort, or from case-control studies when an estimate of the population outcome prevalence is available. Confidence intervals calculated using the bootstrap can be displayed and a wrapper function to calculate cross-validated curves using k-fold cross-validation is also provided.
License: GPL-2
URL: http://mdbrown.github.io/DecisionCurve/, https://github.com/mdbrown/DecisionCurve
LazyData: TRUE
Imports: reshape, pander, MASS, caret
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-01-13 18:31:40 UTC; mdbrown
Repository: CRAN
Date/Publication: 2016-01-13 23:01:53

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Package dChipIO updated to version 0.1.5 with previous version 0.1.4 dated 2016-01-12

Title: Methods for Reading dChip Files
Description: Functions for reading DCP and CDF.bin files generated by the dChip software.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between dChipIO versions 0.1.4 dated 2016-01-12 and 0.1.5 dated 2016-01-13

 DESCRIPTION          |    8 +++---
 MD5                  |   19 ++++++++--------
 NEWS                 |    8 ++++++
 R/readCdfBin.R       |   29 ++++++++++++++----------
 R/readCdfBinHeader.R |   39 ++++++++++++---------------------
 R/readDcp.R          |   51 +++++++++++++++++++------------------------
 R/readDcpHeader.R    |   56 +++++++++++++++++++----------------------------
 R/readDcpRectangle.R |    6 +++--
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Package wux updated to version 2.2-0 with previous version 2.1-1 dated 2015-09-17

Title: Wegener Center Climate Uncertainty Explorer
Description: Methods to calculate and interpret climate change signals and time series from climate multi-model ensembles. Climate model output in binary 'NetCDF' format is read in and aggregated over a specified region to a data.frame for statistical analysis. Global Circulation Models, as the 'CMIP5' simulations, can be read in the same way as Regional Climate Models, as e.g. the 'CORDEX' or 'ENSEMBLES' simulations. The package has been developed at the 'Wegener Center for Climate and Global Change' at the University of Graz, Austria.
Author: Thomas Mendlik [aut, cre], Georg Heinrich [aut], Armin Leuprecht [aut], Andreas Gobiet [ths]
Maintainer: Thomas Mendlik <thomas.mendlik@uni-graz.at>

Diff between wux versions 2.1-1 dated 2015-09-17 and 2.2-0 dated 2016-01-13

 DESCRIPTION                         |    8 ++++----
 MD5                                 |   20 ++++++++++----------
 NAMESPACE                           |    2 +-
 R/InitModelDictionary.R             |    4 ++--
 R/ReadGridFile.R                    |   20 +++++++++++++-------
 R/ReadNetCdf.R                      |   26 +++++++++++++++++---------
 R/ReadNetCdfTimeData.R              |   18 ++++++++++++------
 R/landmask.R                        |   12 +++++++++---
 R/models2wuxAggregateTemporal.R     |   19 ++++++++++++++-----
 R/models2wuxGetFilenames.R          |    4 ++--
 R/models2wuxGetParameterShortName.R |   17 ++++++++++++++---
 11 files changed, 98 insertions(+), 52 deletions(-)

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Package R4CDISC (with last version 0.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2015-09-05 0.4
2014-12-29 0.3
2014-05-18 0.2
2014-01-05 0.1

Permanent link
Package permGPU (with last version 0.14.8) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-01-13 0.14.8
2016-01-07 0.14.7

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Package svs updated to version 1.1.0 with previous version 1.0.3 dated 2015-10-18

Title: Tools for Semantic Vector Spaces
Description: Various tools for semantic vector spaces, such as correspondence analysis (simple, multiple and discriminant), latent semantic analysis, probabilistic latent semantic analysis, non-negative matrix factorization, latent class analysis and EM clustering. Furthermore, there are specialized distance measures, plotting functions and some helper functions.
Author: Koen Plevoets [aut, cre]
Maintainer: Koen Plevoets <koen.plevoets@ugent.be>

Diff between svs versions 1.0.3 dated 2015-10-18 and 1.1.0 dated 2016-01-13

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Package sjmisc updated to version 1.4 with previous version 1.3 dated 2015-11-23

Title: Data Transformation and Labelled Data Utility Functions
Description: Collection of miscellaneous utility functions (especially intended for people coming from other statistical software packages like 'SPSS', and/ or who are new to R), supporting following common tasks: 1) Reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata' and working with labelled data; this includes easy ways to get and set label attributes, to convert labelled vectors into factors (and vice versa), or to deal with multiple declared missing values etc. 2) Data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. 3) Convenient functions to perform frequently used statistical tests, or to calculate various commonly used statistical coefficients.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package SimReg updated to version 1.3 with previous version 1.2 dated 2015-09-15

Title: Similarity Regression Functions
Description: Functions for performing Bayesian `similarity regression', specialised for modelling the association between a HPO-encoded phenotype and binary genotype. A `no association' model is compared with one in which the log odds of having a rare genotype is linked to the semantic similarity between patient phenotype and a latent characteristic phenotype. The method estimates the probability of an association together with an HPO-coded phenotype characteristic of the disease.
Author: Daniel Greene
Maintainer: Daniel Greene <dg333@cam.ac.uk>

Diff between SimReg versions 1.2 dated 2015-09-15 and 1.3 dated 2016-01-13

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Package rPowerSampleSize updated to version 1.0.1 with previous version 1.0 dated 2015-11-28

Title: Sample Size Computations Controlling the Type-II Generalized Family-Wise Error Rate
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>.
Author: Pierre Lafaye de Micheaux, Benoit Liquet and Jeremie Riou
Maintainer: Pierre Lafaye de Micheaux <lafaye@dms.umontreal.ca>

Diff between rPowerSampleSize versions 1.0 dated 2015-11-28 and 1.0.1 dated 2016-01-13

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Package Rgbp updated to version 1.1.1 with previous version 1.1.0 dated 2015-08-04

Title: Hierarchical Modeling and Frequency Method Checking on Overdispersed Gaussian, Poisson, and Binomial Data
Description: We utilize approximate Bayesian machinery to fit two-level conjugate hierarchical models on overdispersed Gaussian, Poisson, and Binomial data and evaluates whether the resulting approximate Bayesian interval estimates for random effects meet the nominal confidence levels via frequency coverage evaluation. The data that Rgbp assumes comprise observed sufficient statistic for each random effect, such as an average or a proportion of each group, without population-level data. The approximate Bayesian tool equipped with the adjustment for density maximization produces approximate point and interval estimates for model parameters including second-level variance component, regression coefficients, and random effect. For the Binomial data, the package provides an option to produce posterior samples of all the model parameters via the acceptance-rejection method. The package provides a quick way to evaluate coverage rates of the resultant Bayesian interval estimates for random effects via a parametric bootstrapping, which we call frequency method checking.
Author: Joseph Kelly, Hyungsuk Tak, and Carl Morris
Maintainer: Joseph Kelly <josephkelly@post.harvard.edu>

Diff between Rgbp versions 1.1.0 dated 2015-08-04 and 1.1.1 dated 2016-01-13

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Package hyfo updated to version 1.3.6 with previous version 1.3.4 dated 2015-12-05

Title: Hydrology and Climate Forecasting
Description: Focuses on data processing and visualization in hydrology and climate forecasting. Main function includes data extraction, data downscaling, data resampling, gap filler of precipitation, bias correction of forecasting data, flexible time series plot, and spatial map generation. It is a good pre-processing and post-processing tool for hydrological and hydraulic modellers.
Author: Yuanchao Xu [aut, cre]
Maintainer: Yuanchao Xu <xuyuanchao37@gmail.com>

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Package funcy updated to version 0.8.4 with previous version 0.8.3 dated 2015-10-19

Title: Functional Clustering Algorithms
Description: Unified framework to cluster functional data according to one of seven models. All models are based on the projection of the curves onto a basis. The main function funcit() calls wrapper functions for the existing algorithms, so that input parameters are the same. A list is returned with each entry representing the same or extended output for the corresponding method. Method specific as well as general visualization tools are available.
Author: Christina Yassouridis [aut, cre], Dominik Ernst [ctb], Madison Giacofci [ctb], Sophie Lambert-Lacroix [ctb], Guillemette Marot [ctb], Franck Picard [ctb], Nicoleta Serban [ctb], Huijing Jiang [ctb], Gareth James [ctb], Catherine Sugar [ctb], Hans-Georg Mueller [ctb], Jie Peng [ctb], Chiou Jeng-Min [ctb], Pai-Ling Li [ctb]
Maintainer: Christina Yassouridis <c_ya02@yahoo.de>

Diff between funcy versions 0.8.3 dated 2015-10-19 and 0.8.4 dated 2016-01-13

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Package drgee updated to version 1.1.4 with previous version 1.1.3 dated 2015-06-12

Title: Doubly Robust Generalized Estimating Equations
Description: Fit restricted mean models for the conditional association between an exposure and an outcome, given covariates. Three methods are implemented: O-estimation, where a nuisance model for the association between the covariates and the outcome is used; E-estimation where a nuisance model for the association between the covariates and the exposure is used, and doubly robust (DR) estimation where both nuisance models are used. In DR-estimation, the estimates will be consistent when at least one of the nuisance models is correctly specified, not necessarily both.
Author: Johan Zetterqvist <johan.zetterqvist@ki.se> , Arvid Sjölander <arvid.sjolander@ki.se> with contributions from Alexander Ploner.
Maintainer: Johan Zetterqvist <johan.zetterqvist@ki.se>

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Package proftools updated to version 0.99-2 with previous version 0.99-0 dated 2016-01-05

Title: Profile Output Processing Tools for R
Description: Tools for examining Rprof profile output.
Author: Luke Tierney and Riad Jarjour
Maintainer: Luke Tierney <luke-tierney@uiowa.edu>

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Package StatMatch updated to version 1.2.4 with previous version 1.2.3 dated 2015-01-29

Title: Statistical Matching
Description: Integration of two data sources referred to the same target population which share a number of common variables (aka data fusion). Some functions can also be used to impute missing values in data sets through hot deck imputation methods. Methods to perform statistical matching when dealing with data from complex sample surveys are available too.
Author: Marcello D'Orazio
Maintainer: Marcello D'Orazio <madorazi@istat.it>

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Package sivipm updated to version 1.1-3 with previous version 1.1-2 dated 2015-10-28

Title: Sensitivity Indices with Dependent Inputs
Description: Sensitivity indices with dependent correlated inputs, using a method based on PLS regression.
Author: A. Bouvier [aut], J.-P. Gauchi [aut, cre], E. Volatier [ctb]
Maintainer: Annie Bouvier <annie.bouvier@jouy.inra.fr>

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Package SamplingStrata updated to version 1.1 with previous version 1.0-4 dated 2015-08-25

Title: Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys
Description: In the field of stratified sampling design, this package offers an approach for the determination of the best stratification of a sampling frame, the one that ensures the minimum sample cost under the condition to satisfy precision constraints in a multivariate and multidomain case. This approach is based on the use of the genetic algorithm: each solution (i.e. a particular partition in strata of the sampling frame) is considered as an individual in a population; the fitness of all individuals is evaluated applying the Bethel-Chromy algorithm to calculate the sampling size satisfying precision constraints on the target estimates. Functions in the package allows to: (a) analyse the obtained results of the optimisation step; (b) assign the new strata labels to the sampling frame; (c) select a sample from the new frame accordingly to the best allocation. Functions for the execution of the genetic algorithm are a modified version of the functions in the 'genalg' package.
Author: Giulio Barcaroli, Daniela Pagliuca, Egon Willighagen, Diego Zardetto
Maintainer: Giulio Barcaroli <barcarol@istat.it>

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Package plot3D updated to version 1.1 with previous version 1.0-2 dated 2014-11-07

Title: Plotting Multi-Dimensional Data
Description: Functions for viewing 2-D and 3-D data, including perspective plots, slice plots, surface plots, scatter plots, etc. Includes data sets from oceanography.
Author: Karline Soetaert <karline.soetaert@nioz.nl>
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

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Package QCAtools updated to version 0.2.1 with previous version 0.1 dated 2015-01-07

Title: Helper Functions for QCA in R
Description: Helper functions for Qualitative Comparative Analysis: evaluate and plot Boolean formulae on fuzzy set score data, apply Boolean operations, compute consistency and coverage measures.
Author: Jirka Lewandowski <jirka.lewandowski@wzb.eu> [aut, cre]
Maintainer: Jirka Lewandowski <jirka.lewandowski@wzb.eu>

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New package ontologySimilarity with initial version 1.0
Package: ontologySimilarity
Type: Package
Title: Functions for Calculating Ontological Similarities
Version: 1.0
Date: 2016-01-12
Author: Daniel Greene
Maintainer: Daniel Greene <dg333@cam.ac.uk>
Description: Functions for calculating semantic similarities between ontological terms or sets of ontological terms based on term information content and assessing statistical significance of similarity in the context of a collection of sets of ontological terms.
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.2), ontologyIndex
LinkingTo: Rcpp
Depends: R (>= 3.0.0)
Suggests: knitr
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-01-13 11:16:56 UTC; dg333
Repository: CRAN
Date/Publication: 2016-01-13 14:39:47

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Package breakpoint updated to version 1.2 with previous version 1.1 dated 2014-12-21

Title: An R Package for Multiple Break-Point Detection via the Cross-Entropy Method
Description: Implements the Cross-Entropy (CE) method, which is a model based stochastic optimization technique to estimate both the number and their corresponding locations of break-points in continuous and discrete measurements (Priyadarshana and Sofronov (2015), Priyadarshana and Sofronov (2012a), Priyadarshana and Sofronov (2012b)).
Author: Priyadarshana W.J.R.M. and Georgy Sofronov
Maintainer: Priyadarshana W.J.R.M. <mjayawardana@swin.edu.au>

Diff between breakpoint versions 1.1 dated 2014-12-21 and 1.2 dated 2016-01-13

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Package stcm (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2015-06-29 0.1.1
2015-04-02 0.1.0

Permanent link
Package permGPU updated to version 0.14.8 with previous version 0.14.7 dated 2016-01-07

Title: Using GPUs in Statistical Genomics
Description: Can be used to carry out permutation resampling inference in the context of RNA microarray studies.
Author: Ivo D. Shterev, Sin-Ho Jung, Stephen L. George and Kouros Owzar
Maintainer: Ivo D. Shterev <i.shterev@duke.edu>

Diff between permGPU versions 0.14.7 dated 2016-01-07 and 0.14.8 dated 2016-01-13

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 MD5                    |   10 +++++-----
 NEWS                   |    4 ++++
 man/permGPU-package.Rd |    5 +++--
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 6 files changed, 23 insertions(+), 16 deletions(-)

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Package frailtypack updated to version 2.8.3 with previous version 2.8.2 dated 2015-12-08

Title: General Frailty Models: Shared, Joint and Nested Frailty Models with Prediction
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 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. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of a joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Multivariate joint frailty models for two types of recurrent events and a terminal event. 7) Joint models for longitudinal data and a terminal event. 8) Trivariate joint models for longitudinal data, recurrent events and a terminal event. 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 the gamma or normal distribution. Now, you can also consider time-varying covariates effects in Cox, shared and joint frailty models (1-5). 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, Amadou Diakite and Alexandre Laurent
Maintainer: Virginie Rondeau <Virginie.Rondeau@isped.u-bordeaux2.fr>

Diff between frailtypack versions 2.8.2 dated 2015-12-08 and 2.8.3 dated 2016-01-13

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Package entropart updated to version 1.4-4 with previous version 1.4-3 dated 2015-12-06

Title: Entropy Partitioning to Measure Diversity
Description: Measurement and partitioning of diversity, based on Tsallis entropy.
Author: Eric Marcon, Bruno Herault
Maintainer: Eric Marcon <Eric.Marcon@ecofog.gf>

Diff between entropart versions 1.4-3 dated 2015-12-06 and 1.4-4 dated 2016-01-13

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Package cofeatureR updated to version 1.0.1 with previous version 1.0.0 dated 2015-12-23

Title: Generate Cofeature Matrices
Description: Generate cofeature (feature by sample) matrices. The package utilizes ggplot2::geom_tile() to generate the matrix allowing for easy additions from the base matrix.
Author: Fong Chun Chan [aut, cre]
Maintainer: Fong Chun Chan <fongchunchan@gmail.com>

Diff between cofeatureR versions 1.0.0 dated 2015-12-23 and 1.0.1 dated 2016-01-13

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 MD5                    |    6 +--
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Package WikipediR updated to version 1.3.0 with previous version 1.2.0 dated 2015-05-17

Title: A MediaWiki API Wrapper
Description: A wrapper for the MediaWiki API, aimed particularly at the Wikimedia 'production' wikis, such as Wikipedia. It can be used to retrieve page text, information about users or the history of pages, and elements of the category tree.
Author: Oliver Keyes
Maintainer: Oliver Keyes <ironholds@gmail.com>

Diff between WikipediR versions 1.2.0 dated 2015-05-17 and 1.3.0 dated 2016-01-13

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Package rcanvec updated to version 0.1.4 with previous version 0.1.3 dated 2015-10-18

Title: Access and Plot CanVec and CanVec+ Data for Rapid Basemap Creation in Canada
Description: Provides an interface to the National Topographic System (NTS), which is the way in which a number of freely available Canadian datasets are organized. CanVec and CanVec+ datasets, which include all data used to create Canadian topographic maps, are two such datasets that are useful in creating vector-based maps for locations across Canada. This packages searches CanVec data by location, plots it using pretty defaults, and exports it to human-readable shapefiles for use in another GIS.
Author: Dewey Dunnington <dewey@fishandwhistle.net>
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

Diff between rcanvec versions 0.1.3 dated 2015-10-18 and 0.1.4 dated 2016-01-13

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 5 files changed, 12 insertions(+), 16 deletions(-)

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Package MASSTIMATE updated to version 1.3 with previous version 1.2 dated 2014-05-19

Title: Body Mass Estimation Equations for Vertebrates
Description: Estimation equations are from a variety of sources but are, in general, based on regressions between skeletal measurements (e.g., femoral circumference) and body mass in living taxa.
Author: Nicolas E. Campione
Maintainer: Nicolas E. Campione <nicolas.campione@geo.uu.se>

Diff between MASSTIMATE versions 1.2 dated 2014-05-19 and 1.3 dated 2016-01-13

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New package matconv with initial version 0.3.0
Package: matconv
Type: Package
Title: A Code Converter from the Matlab/Octave Language to R
Version: 0.3.0
Authors@R: c(person("Siddarta", "Jairam", email = "sidjsb@gmail.com", role = c("aut", "cre")), person("David", "Hiebeler", email = "hiebeler@math.umaine.edu", role = "ctb"))
Maintainer: Siddarta Jairam <sidjsb@gmail.com>
Description: Transferring over a code base from Matlab to R is often a repetitive and inefficient use of time. This package provides a translator for Matlab / Octave code into R code. It does some syntax changes, but most of the heavy lifting is in the function changes since the languages are so similar. Options for different data structures and the functions that can be changed are given. The Matlab code should be mostly in adherence to the standard style guide but some effort has been made to accommodate different number of spaces and other small syntax issues. This will not make the code more R friendly and may not even run afterwards. However, the rudimentary syntax, base function and data structure conversion is done quickly so that the maintainer can focus on changes to the design structure.
License: GPL (>= 2)
Imports: methods
Suggests: knitr, testthat
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-01-13 07:06:43 UTC; computer
Author: Siddarta Jairam [aut, cre], David Hiebeler [ctb]
Repository: CRAN
Date/Publication: 2016-01-13 08:49:45

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Package lpSolveAPI updated to version 5.5.2.0-17 with previous version 5.5.2.0-14 dated 2014-11-12

Title: R Interface to 'lp_solve' Version 5.5.2.0
Description: The lpSolveAPI package provides an R interface to 'lp_solve', a Mixed Integer Linear Programming (MILP) solver with support for pure linear, (mixed) integer/binary, semi-continuous and special ordered sets (SOS) models.
Author: lp_solve <http://lpsolve.sourceforge.net/>, Kjell Konis <kjell.konis@me.com>.
Maintainer: Kjell Konis <kjell.konis@me.com>

Diff between lpSolveAPI versions 5.5.2.0-14 dated 2014-11-12 and 5.5.2.0-17 dated 2016-01-13

 DESCRIPTION    |   16 ++++++++--------
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 NAMESPACE      |   21 ++++++++++++++++-----
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 4 files changed, 29 insertions(+), 18 deletions(-)

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New package BinaryEMVS with initial version 0.1
Package: BinaryEMVS
Title: Variable Selection for Binary Data Using the EM Algorithm
Version: 0.1
Authors@R: person("John", "Snyder", email = "jcs8v6@mail.missouri.edu", role = c("aut", "cre"))
Description: Implements variable selection for high dimensional datasets with a binary response variable using the EM algorithm. Both probit and logit models are supported. Also included is a useful function to generate high dimensional data with correlated variables.
Depends: R (>= 3.1.3)
License: GPL-3
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-01-12 23:02:10 UTC; jcs8v_000
Author: John Snyder [aut, cre]
Maintainer: John Snyder <jcs8v6@mail.missouri.edu>
Repository: CRAN
Date/Publication: 2016-01-13 08:49:37

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