Wed, 09 Mar 2016

Package svgPanZoom updated to version 0.3.2 with previous version 0.3.0 dated 2015-09-11

Title: R 'Htmlwidget' to Add Pan and Zoom to Almost any R Graphic
Description: This 'htmlwidget' provides pan and zoom interactivity to R graphics, including 'base', 'lattice', and 'ggplot2'. The interactivity is provided through the 'svg-pan-zoom.js' library. Various options to the widget can tailor the pan and zoom experience to nearly any user desire.
Author: Anders Riutta et. al. [aut, cph] (svg-pan-zoom.js BSD-licensed library in htmlwidgets/lib, https://github.com/ariutta/svg-pan-zoom), Jorik Tangelder [aut, cph] (hammer.js MIT-licensed touch library in htmlwidgets/lib, https://github.com/hammerjs/hammer), Kent Russell [aut, cre] (R interface to svg-pan-zoom.js)
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

Diff between svgPanZoom versions 0.3.0 dated 2015-09-11 and 0.3.2 dated 2016-03-09

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 LICENSE                                                    |    2 
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 NAMESPACE                                                  |    2 
 NEWS.md                                                    |   11 +++
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Package sommer updated to version 1.3 with previous version 1.2 dated 2016-02-07

Title: Solving Mixed Model Equations in R
Description: Mixed model equation solver allowing the specification of variance covariance structures of random effects and residual structures. ML/REML estimates are obtained using the Average Information and/or Expectation-Maximization algorithms. Designed for genomic prediction and genome wide association studies (GWAS) to include additive, dominant and epistatic relationship structures.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <covarrubiasp@wisc.edu>

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Package rnrfa updated to version 0.5.1 with previous version 0.4.3 dated 2016-02-25

Title: UK National River Flow Archive Data from R
Description: Utility functions to retrieve data from the UK National River Flow Archive. The package contains R wrappers to the UK NRFA data temporary-API. There are functions to retrieve stations falling in a bounding box, to generate a map and extracting time series and general information.
Author: Claudia Vitolo [aut, cre], Matthew Fry [ctb]
Maintainer: Claudia Vitolo <cvitolodev@gmail.com>

Diff between rnrfa versions 0.4.3 dated 2016-02-25 and 0.5.1 dated 2016-03-09

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Package rARPACK updated to version 0.11-0 with previous version 0.10-0 dated 2016-01-18

Title: Solvers for Large Scale Eigenvalue and SVD Problems
Description: Previously an R wrapper of the 'ARPACK' library <http://www.caam.rice.edu/software/ARPACK/>, and now a shell of the R package 'RSpectra', an R interface to the 'Spectra' library <http://yixuan.cos.name/spectra/> for solving large scale eigenvalue/vector problems. The current version of 'rARPACK' simply imports and exports the functions provided by 'RSpectra'. New users of 'rARPACK' are advised to switch to the 'RSpectra' package.
Author: Yixuan Qiu, Jiali Mei and authors of the ARPACK library. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between rARPACK versions 0.10-0 dated 2016-01-18 and 0.11-0 dated 2016-03-09

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New package osd with initial version 0.1
Package: osd
Type: Package
Title: Orthogonal Signal Deconvolution for Spectra Deconvolution in GC-MS and GCxGC-MS Data
Version: 0.1
Date: 2016-3-01
Author: Xavier Domingo-Almenara
Imports: JADE, nnls
Maintainer: Xavier Domingo-Almenara <xavier.domingo@urv.cat>
Description: Compound deconvolution for chromatographic data, including gas chromatography - mass spectrometry (GC-MS) and comprehensive gas chromatography - mass spectrometry (GCxGC-MS). The package includes functions to perform independent component analysis - orthogonal signal deconvolution (ICA-OSD), independent component regression (ICR), multivariate curve resolution (MCR-ALS) and orthogonal signal deconvolution (OSD) alone.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-03-09 18:02:37 UTC; xavidomingoalmenara
Repository: CRAN
Date/Publication: 2016-03-10 00:10:22

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Package GLMMRR updated to version 0.1.2 with previous version 0.1.1 dated 2016-03-09

Title: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data
Description: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data. Includes Cauchit, Log-Log, Logistic, and Probit link functions for Bernoulli distributed RR data.
Author: Jean-Paul Fox [aut], Konrad Klotzke [aut], Duco Veen [aut]
Maintainer: Konrad Klotzke <omd.bms.utwente.stats@gmail.com>

Diff between GLMMRR versions 0.1.1 dated 2016-03-09 and 0.1.2 dated 2016-03-09

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Package gets updated to version 0.6 with previous version 0.5 dated 2016-02-28

Title: General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean.
Author: Genaro Sucarrat [aut, cre], Felix Pretis [aut], James Reade [aut]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>

Diff between gets versions 0.5 dated 2016-02-28 and 0.6 dated 2016-03-09

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New package GeNetIt with initial version 0.1-0
Package: GeNetIt
Type: Package
Title: Spatial Graph-Theoretic Genetic Gravity Modelling
Version: 0.1-0
Date: 2016-03-09
Authors@R: c(person(family="Evans", given="Jeffrey S.", email = "jeffrey_evans@tnc.org", role = c("aut", "cre")), person(family="Murphy", given="Melanie", role = "aut") )
Description: Implementation of spatial graph-theoretic genetic gravity models. The model framework is applicable for other types of spatial flow questions. Includes functions for constructing spatial graphs, sampling and summarizing associated raster variables and building unconstrained and singly constrained gravity models.
Depends: R (>= 3.1.0)
Imports: nlme, sp, spdep, spatialEco, raster, rgeos
Maintainer: Jeffrey S. Evans <jeffrey_evans@tnc.org>
License: GPL-3
NeedsCompilation: no
Repository: CRAN
LazyData: true
RoxygenNote: 5.0.1
Packaged: 2016-03-09 23:01:54 UTC; jevans
Author: Jeffrey S. Evans [aut, cre], Melanie Murphy [aut]
Date/Publication: 2016-03-10 00:27:49

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Package fuzzyforest updated to version 1.0.1 with previous version 1.0.0 dated 2016-02-18

Title: Fuzzy Forests
Description: Fuzzy forests, a new algorithm based on random forests, is designed to reduce the bias seen in random forest feature selection caused by the presence of correlated features. Fuzzy forests uses recursive feature elimination random forests to select features from separate blocks of correlated features where the correlation within each block of features is high and the correlation between blocks of features is low. One final random forest is fit using the surviving features. This package fits random forests using the 'randomForest' package and allows for easy use of 'WGCNA' to split features into distinct blocks.
Author: Daniel Conn [aut, cre], Tuck Ngun [aut], Christina M. Ramirez [aut]
Maintainer: Daniel Conn <djconn17@gmail.com>

Diff between fuzzyforest versions 1.0.0 dated 2016-02-18 and 1.0.1 dated 2016-03-09

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Package ROCt updated to version 0.9.4 with previous version 0.8 dated 2013-12-20

Title: Time-Dependent ROC Curve Estimators and Expected Utility Functions
Description: Contains functions in order to estimate diagnostic and prognostic capacities of continuous markers. More precisely, one function concerns the estimation of time-dependent ROC (ROCt) curve, as proposed by Heagerty et al. (2000) <DOI: 10.1111/j.0006-341X.2000.00337.x>. One function concerns the adaptation of the ROCt theory for studying the capacity of a marker to predict the excess of mortality of a specific population compared to the general population. This last part is based on additive relative survival models and the work of Pohar-Perme et al. (2012) <DOI: 10.1111/j.1541-0420.2011.01640.x>. We also propose two functions for cut-off estimation in medical decision making by maximizing time-dependent expected utility function. Finally, we propose confounder-adjusted estimators of ROC and ROCt curves by using the Inverse Probability Weighting (IPW) approach. For the confounder-adjusted ROC curve (without censoring), we also proposed the implementation of the estimator based on placement values proposed by Pepe and Cai (2004) <DOI: 10.1111/j.0006-341X.2004.00200.x>.
Author: Y. Foucher, E. Dantan, P. Tessier, F. Le Borgne, and M. Lorent
Maintainer: Y. Foucher <Yohann.Foucher@univ-nantes.fr>

Diff between ROCt versions 0.8 dated 2013-12-20 and 0.9.4 dated 2016-03-09

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Package EpiModel updated to version 1.2.5 with previous version 1.2.4 dated 2016-02-01

Title: Mathematical Modeling of Infectious Disease
Description: Tools for simulating mathematical models of infectious disease. Epidemic model classes include deterministic compartmental models, stochastic agent-based, and stochastic network models. Network models use robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an easy API for extending these templates to address novel scientific research aims.
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Emily Beylerian [ctb], Li Wang [ctb], Skye Bender-deMoll [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

Diff between EpiModel versions 1.2.4 dated 2016-02-01 and 1.2.5 dated 2016-03-09

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New package glmmsr with initial version 0.1.0
Package: glmmsr
Title: Fit a Generalized Linear Mixed Model
Version: 0.1.0
Authors@R: person("Helen", "Ogden", , "heogden12@gmail.com", role = c("aut", "cre"))
Description: Conduct inference about generalized linear mixed models, with a choice about which method to use to approximate the likelihood. In addition to the Laplace and adaptive Gaussian quadrature approximations, which are borrowed from 'lme4', the likelihood may be approximated by the sequential reduction approximation, or an importance sampling approximation. These methods provide an accurate approximation to the likelihood in some situations where it is not possible to use adaptive Gaussian quadrature.
Depends: R (>= 3.1.2)
LinkingTo: Rcpp, RcppEigen, BH
Imports: lme4 (>= 1.1-8), Matrix, R6, Rcpp, methods, stats, utils
URL: http://github.com/heogden/glmmsr
BugReports: http://github.com/heogden/glmmsr/issues
License: GPL (>= 2)
LazyData: true
Suggests: BradleyTerry2, hglm.data, knitr, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-07 11:16:05 UTC; helen
Author: Helen Ogden [aut, cre]
Maintainer: Helen Ogden <heogden12@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-09 19:23:08

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Package PGRdup updated to version 0.2.2.1 with previous version 0.2.2 dated 2016-03-05

Title: Discover Probable Duplicates in Plant Genetic Resources Collections
Description: Provides functions to aid the identification of probable/possible duplicates in Plant Genetic Resources (PGR) collections using 'passport databases' comprising of information records of each constituent sample. These include methods for cleaning the data, creation of a searchable Key Word in Context (KWIC) index of keywords associated with sample records and the identification of nearly identical records with similar information by fuzzy, phonetic and semantic matching of keywords.
Author: J. Aravind [aut, cre], J. Radhamani [aut], Kalyani Srinivasan [aut], B. Ananda Subhash [aut], R. K. Tyagi [aut]
Maintainer: J. Aravind <j.aravind@icar.gov.in>

Diff between PGRdup versions 0.2.2 dated 2016-03-05 and 0.2.2.1 dated 2016-03-09

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Package NIPTeR updated to version 1.0.2 with previous version 1.0.1 dated 2016-01-02

Title: Fast and Accurate Trisomy Prediction in Non-Invasive Prenatal Testing
Description: Fast and Accurate Trisomy Prediction in Non-Invasive Prenatal Testing.
Author: Dirk de Weerd, Lennart Johansson
Maintainer: Lennart Johansson <l.johansson@umcg.nl>

Diff between NIPTeR versions 1.0.1 dated 2016-01-02 and 1.0.2 dated 2016-03-09

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Package growthcurver updated to version 0.2.0 with previous version 0.1.0 dated 2015-11-03

Title: Simple Metrics to Summarize Growth Curves
Description: This is a simple package that fits the logistic equation to microbial growth curve data (e.g., repeated absorbance measurements taken from a plate reader over time). From this fit, a variety of metrics are provided, including the maximum growth rate, the doubling time, the carrying capacity, the area under the logistic curve, and the time to the inflection point.
Author: Kathleen sprouffske [aut, cre]
Maintainer: Kathleen sprouffske <sprouffske@gmail.com>

Diff between growthcurver versions 0.1.0 dated 2015-11-03 and 0.2.0 dated 2016-03-09

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Package emojifont updated to version 0.3.2 with previous version 0.3.1 dated 2016-02-26

Title: Emoji Fonts for using in R
Description: An implementation of using emoji font in both base and 'ggplot2' graphics.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between emojifont versions 0.3.1 dated 2016-02-26 and 0.3.2 dated 2016-03-09

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Package BBEST updated to version 0.1-6 with previous version 0.1-5 dated 2015-09-15

Title: Bayesian Estimation of Incoherent Neutron Scattering Backgrounds
Description: We implemented a Bayesian-statistics approach for subtraction of incoherent scattering from neutron total-scattering data. In this approach, the estimated background signal associated with incoherent scattering maximizes the posterior probability, which combines the likelihood of this signal in reciprocal and real spaces with the prior that favors smooth lines.
Author: Anton Gagin and Igor Levin with contributions from Charles R. Hogg III
Maintainer: Anton Gagin <av.gagin@gmail.com>

Diff between BBEST versions 0.1-5 dated 2015-09-15 and 0.1-6 dated 2016-03-09

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Package vardpoor updated to version 0.5.6 with previous version 0.5.4 dated 2016-01-16

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearisation of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow, 1953), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y.G.). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks <Juris.Breidaks@csb.gov.lv>

Diff between vardpoor versions 0.5.4 dated 2016-01-16 and 0.5.6 dated 2016-03-09

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Package shrink updated to version 1.2.1 with previous version 1.2.0 dated 2014-10-02

Title: Global, Parameterwise and Joint Shrinkage Factor Estimation
Description: The predictive value of a statistical model can often be improved by applying shrinkage methods. This can be achieved, e.g., by regularized regression or empirical Bayes approaches. Various types of shrinkage factors can also be estimated after a maximum likelihood. While global shrinkage modifies all regression coefficients by the same factor, parameterwise shrinkage factors differ between regression coefficients. With variables which are either highly correlated or associated with regard to contents, such as several columns of a design matrix describing a nonlinear effect, parameterwise shrinkage factors are not interpretable and a compromise between global and parameterwise shrinkage, termed 'joint shrinkage', is a useful extension. A computational shortcut to resampling-based shrinkage factor estimation based on DFBETA residuals can be applied. Global, parameterwise and joint shrinkage for models fitted by lm(), glm(), coxph(), or mfp() is available.
Author: Daniela Dunkler [aut, cre], Georg Heinze [aut]
Maintainer: Daniela Dunkler <daniela.dunkler@meduniwien.ac.at>

Diff between shrink versions 1.2.0 dated 2014-10-02 and 1.2.1 dated 2016-03-09

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Package msm updated to version 1.6.1 with previous version 1.6 dated 2015-11-18

Title: Multi-State Markov and Hidden Markov Models in Continuous Time
Description: Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
Author: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

Diff between msm versions 1.6 dated 2015-11-18 and 1.6.1 dated 2016-03-09

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New package ggThemeAssist with initial version 0.1.0
Package: ggThemeAssist
Type: Package
Title: Add-in to Customize 'ggplot2' Themes
Version: 0.1.0
Author: Calli Gross [aut, cre], Philipp Ottolinger [aut, ctb]
Maintainer: Calli Gross <ggthemeassist@icloud.com>
Description: Rstudio add-in that delivers a graphical interface for editing 'ggplot2' theme elements.
License: GPL-3
URL: https://github.com/calligross/ggthemeassist
LazyData: TRUE
Imports: shiny (>= 0.13), miniUI (>= 0.1.1), rstudioapi (>= 0.5), ggplot2, formatR
RoxygenNote: 5.0.1
Depends: R (>= 3.0.0)
NeedsCompilation: no
Packaged: 2016-03-09 08:42:19 UTC; Gross_M
Repository: CRAN
Date/Publication: 2016-03-09 15:20:53

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Package fdaPDE updated to version 0.1-2 with previous version 0.1-1 dated 2016-01-15

Title: Functional Data Analysis and Partial Differential Equations; Statistical Analysis of Functional and Spatial Data, Based on Regression with Partial Differential Regularizations
Description: An implementation of regression models with partial differential regularizations, making use of the Finite Element Method. The models efficiently handle data distributed over irregularly shaped domains and can comply with various conditions at the boundaries of the domain. A priori information about the spatial structure of the phenomenon under study can be incorporated in the model via the differential regularization.
Author: Eardi Lila [aut, cre], Laura M. Sangalli [aut], Jim Ramsay [aut], Luca Formaggia [aut]
Maintainer: Eardi Lila <el425@cam.ac.uk>

Diff between fdaPDE versions 0.1-1 dated 2016-01-15 and 0.1-2 dated 2016-03-09

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Package FamEvent updated to version 1.1 with previous version 1.0 dated 2016-02-09

Title: Simulation of Time-to-Event Family Data and Penetrance Estimation
Description: Generates time-to-event family data associated with mutated genes arising from various family study designs such as population-based, clinic- based, or multi-stage designs and provides functions to fit family data accounting for the study design and estimate age-dependent penetrance functions. It also provides carrier probabilities for those with missing genotypes and penetrance estimations are based on an Expectation-Maximization algorithm when genotypes are missing.
Author: Yun-Hee Choi, Karen Kopciuk, Wenqing He, Laurent Briollais
Maintainer: Yun-Hee Choi <yun-hee.choi@schulich.uwo.ca>

Diff between FamEvent versions 1.0 dated 2016-02-09 and 1.1 dated 2016-03-09

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Package DVHmetrics updated to version 0.3.5 with previous version 0.3.4 dated 2015-11-27

Title: Analyze Dose-Volume Histograms and Check Constraints
Description: Functionality for analyzing dose-volume histograms (DVH) in radiation oncology: Read DVH text files, calculate DVH metrics as well as generalized equivalent uniform dose (gEUD), biologically effective dose (BED), equivalent dose in 2 Gy fractions (EQD2), normal tissue complication probability (NTCP), and tumor control probability (TCP). Show DVH diagrams, check and visualize quality assurance constraints for the DVH. Includes web-based graphical user interface.
Author: Daniel Wollschlaeger [aut, cre], Heiko Karle [aut], Heinz Schmidberger [ctb]
Maintainer: Daniel Wollschlaeger <wollschlaeger@uni-mainz.de>

Diff between DVHmetrics versions 0.3.4 dated 2015-11-27 and 0.3.5 dated 2016-03-09

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Package cOde updated to version 0.2.1 with previous version 0.2 dated 2015-06-10

Title: Automated C Code Generation for Use with the 'deSolve' and 'bvpSolve' Packages
Description: Generates all necessary C functions allowing the user to work with the compiled-code interface of ode() and bvptwp(). The implementation supports "forcings" and "events". Also provides functions to symbolically compute Jacobians, sensitivity equations and adjoint sensitivities being the basis for sensitivity analysis.
Author: Daniel Kaschek
Maintainer: Daniel Kaschek <daniel.kaschek@physik.uni-freiburg.de>

Diff between cOde versions 0.2 dated 2015-06-10 and 0.2.1 dated 2016-03-09

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Package basicspace updated to version 0.17 with previous version 0.15 dated 2014-11-19

Title: Recovering a Basic Space from Issue Scales
Description: Conducts Aldrich-McKelvey and Blackbox Scaling to Recover Latent Dimensions of Judgment.
Author: Keith Poole <ktpoole@uga.edu>, Howard Rosenthal <hr31@nyu.edu>, Jeffrey Lewis <jblewis@ucla.edu>, James Lo <jameslo@princeton.edu> and Royce Carroll <rcarroll@rice.edu>
Maintainer: James Lo <jameslo@princeton.edu>

Diff between basicspace versions 0.15 dated 2014-11-19 and 0.17 dated 2016-03-09

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Package SemiCompRisks updated to version 2.4 with previous version 2.3 dated 2015-12-04

Title: Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data
Description: Parametric and semi-parametric analyses of semi-competing risks/univariate survival data.
Author: Kyu Ha Lee and Sebastien Haneuse
Maintainer: Kyu Ha Lee <klee@hsph.harvard.edu>

Diff between SemiCompRisks versions 2.3 dated 2015-12-04 and 2.4 dated 2016-03-09

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New package regsel with initial version 0.2
Package: regsel
Type: Package
Title: Variable Selection and Regression
Version: 0.2
Date: 2016-02-24
Author: Michal Knut
Maintainer: Michal Knut <1105406k@student.gla.ac.uk>
Description: Functions for fitting linear and generalized linear models with variable selection. The functions can automatically do Stepwise Regression, Lasso or Elastic Net as variable selection methods. Lasso and Elastic net are improved and handle factors better (they can either include or exclude all factor levels).
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: glmnet, elasticnet
NeedsCompilation: no
Packaged: 2016-03-07 13:27:49 UTC; knutm
Repository: CRAN
Date/Publication: 2016-03-09 09:13:48

More information about regsel at CRAN
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Package readODS updated to version 1.6.2 with previous version 1.4 dated 2014-07-07

Title: Read ODS Files
Description: Read ODS (OpenDocument Spreadsheet) and puts them into data frames.
Author: Gerrit-Jan Schutten, Chung-hong Chan
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

Diff between readODS versions 1.4 dated 2014-07-07 and 1.6.2 dated 2016-03-09

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Package R.devices updated to version 2.14.0 with previous version 2.13.2 dated 2015-12-16

Title: Unified Handling of Graphics Devices
Description: Functions for creating plots and image files in a unified way regardless of output format (EPS, PDF, PNG, SVG, TIFF, WMF, etc.). Default device options as well as scales and aspect ratios are controlled in a uniform way across all device types. Switching output format requires minimal changes in code. This package is ideal for large-scale batch processing, because it will never leave open graphics devices or incomplete image files behind, even on errors or user interrupts.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.devices versions 2.13.2 dated 2015-12-16 and 2.14.0 dated 2016-03-09

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More information about R.devices at CRAN
Permanent link

Package RAppArmor updated to version 2.0 with previous version 1.0.1 dated 2013-12-18

Title: Bindings to AppArmor and Security Related Linux Tools
Description: Bindings to various methods in the kernel for enforcing security restrictions. AppArmor can apply mandatory access control (MAC) policies on a given task (process) via security profiles with detailed ACL definitions. In addition the package has kernel bindings for setting the process hardware resource limits (rlimit), uid, gid, affinity and priority. The high level R function 'eval.secure' builds on these methods to do dynamic sandboxing: it evaluates a single R expression within a temporary fork which acts as a sandbox by enforcing fine grained restrictions without affecting the main R process.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between RAppArmor versions 1.0.1 dated 2013-12-18 and 2.0 dated 2016-03-09

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New package GLMMRR with initial version 0.1.1
Package: GLMMRR
Type: Package
Title: GLM for Binary Randomized Response Data
Version: 0.1.1
Date: 2016-03-09
Author: Jean-Paul Fox [aut], Konrad Klotzke [aut], Duco Veen [aut]
Maintainer: Konrad Klotzke <omd.bms.utwente.stats@gmail.com>
Depends: lme4, methods
Imports: stats
Description: GLM for Binary Randomized Response Data. Includes Cauchit, Log-log, Logistic, and Probit link functions for Bernoulli distributed RR data.
License: GPL-2 | GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-09 07:36:25 UTC; Konrad
Repository: CRAN
Date/Publication: 2016-03-09 09:13:36

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New package DiversityOccupancy with initial version 1.0.0
Package: DiversityOccupancy
Type: Package
Title: Building Diversity Models from Multiple Species Occupancy Models
Version: 1.0.0
Date: 2016-03-08
Authors@R: person("Derek", "Corcoran", email = "derek.corcoran.barrios@gmail.com", role = c("aut", "cre"))
Description: Predictions of alpha diversity are fitted from presence data, first abundance is modeled from occupancy models and then, several diversity indices are calculated and finally GLM models are used to predict diversity in different environments and select priority areas.
Depends: R (>= 3.2.2), MuMIn, unmarked
Imports: dplyr, ggplot2, glmulti, raster, qpcR, vegan
Suggests: knitr, rmarkdown,
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-09 02:10:00 UTC; derek
Author: Derek Corcoran [aut, cre]
Maintainer: Derek Corcoran <derek.corcoran.barrios@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-09 09:13:33

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Package clere updated to version 1.1.3 with previous version 1.1.2 dated 2015-10-08

Title: Simultaneous Variables Clustering and Regression
Description: Implements an empirical Bayes approach for simultaneous variable clustering and regression. This version also (re)implements in C++ an R script proposed by Howard Bondell that fits the Pairwise Absolute Clustering and Sparsity (PACS) methodology (see Sharma et al (2013) <DOI:10.1080/15533174.2012.707849>).
Author: Loic Yengo, Mickael Canouil
Maintainer: Loic Yengo <loic.yengo@gmail.com>

Diff between clere versions 1.1.2 dated 2015-10-08 and 1.1.3 dated 2016-03-09

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Package bfp updated to version 0.0-30 with previous version 0.0-27 dated 2013-12-10

Title: Bayesian Fractional Polynomials
Description: Implements the Bayesian paradigm for fractional polynomial models under the assumption of normally distributed error terms.
Author: Daniel Sabanes Bove <sabanesd@roche.com>
Maintainer: Daniel Sabanes Bove <sabanesd@roche.com>

Diff between bfp versions 0.0-27 dated 2013-12-10 and 0.0-30 dated 2016-03-09

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 NAMESPACE             |  132 +++++++++++----------
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