Fri, 30 Jun 2017

Package bsam updated to version 1.1.2 with previous version 1.1.1 dated 2016-11-17

Title: Bayesian State-Space Models for Animal Movement
Description: Tools to fit Bayesian state-space models to animal tracking data. Models are provided for location filtering, location filtering and behavioural state estimation, and their hierarchical versions. The models are primarily intended for fitting to ARGOS satellite tracking data but options exist to fit to other tracking data types. For Global Positioning System data, consider the 'moveHMM' package. Simplified Markov Chain Monte Carlo convergence diagnostic plotting is provided but users are encouraged to explore tools available in packages such as 'coda' and 'boa'.
Author: Ian Jonsen [aut, cre], Sophie Bestley [ctb], Simon Wotherspoon [ctb], Michael Sumner [ctb], Joanna Mills Flemming [ctb]
Maintainer: Ian Jonsen <ian.jonsen@mq.edu.au>

Diff between bsam versions 1.1.1 dated 2016-11-17 and 1.1.2 dated 2017-06-30

 DESCRIPTION            |   19 ++++++++++++-------
 MD5                    |   48 ++++++++++++++++++++++++------------------------
 NAMESPACE              |    2 ++
 NEWS.md                |    5 ++++-
 R/bsam-package.R       |    2 +-
 R/dat4jags.R           |    8 ++++----
 R/fit_ssm.R            |   11 ++++++++---
 R/hssm.R               |   17 ++++++++++-------
 R/ssm.R                |    2 ++
 README.md              |    2 ++
 inst/jags/hDCRW.txt    |    2 +-
 inst/jags/hDCRWS.txt   |    2 +-
 man/bsam-deprecated.Rd |    3 +--
 man/bsam-package.Rd    |   15 +++++++--------
 man/dat4jags.Rd        |    1 -
 man/diag_ssm.Rd        |    1 -
 man/ellie.Rd           |    1 -
 man/fit_ssm.Rd         |   16 +++++++++-------
 man/get_summary.Rd     |    1 -
 man/hssm.Rd            |    1 -
 man/map_ssm.Rd         |    1 -
 man/plot_fit.Rd        |    1 -
 man/simulate.Rd        |    1 -
 man/ssm.Rd             |    1 -
 man/tpar.Rd            |    1 -
 25 files changed, 88 insertions(+), 76 deletions(-)

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Package rsparkling updated to version 0.2.1 with previous version 0.2.0 dated 2017-03-17

Title: R Interface for H2O Sparkling Water
Description: An extension package for 'sparklyr' that provides an R interface to H2O Sparkling Water machine learning library (see <https://github.com/h2oai/sparkling-water> for more information).
Author: JJ Allaire [aut], Erin LeDell [aut], Michal Malohlava [aut], Navdeep Gill [aut, cre], Jakub Hava [aut], RStudio [cph], H2O.ai [cph]
Maintainer: Navdeep Gill <navdeep@h2o.ai>

Diff between rsparkling versions 0.2.0 dated 2017-03-17 and 0.2.1 dated 2017-06-30

 DESCRIPTION                              |    6 +++---
 MD5                                      |   21 +++++++++++++++++----
 R/install_h2o.R                          |   24 ++++++++++++------------
 R/package.R                              |   21 +++++++++++----------
 inst/examples/h2ologs                    |only
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 inst/examples/nycflights13.R             |    9 ++++++---
 9 files changed, 49 insertions(+), 32 deletions(-)

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Package Epi updated to version 2.16 with previous version 2.15 dated 2017-05-30

Title: A Package for Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data, in particular representation, manipulation and simulation of multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Also contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data and some useful functions for tabulation and plotting, as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

Diff between Epi versions 2.15 dated 2017-05-30 and 2.16 dated 2017-06-30

 CHANGES                |    8 +++++++-
 DESCRIPTION            |   12 ++++++------
 MD5                    |   26 ++++++++++++++------------
 NAMESPACE              |    5 ++++-
 R/addCov.Lexis.R       |only
 R/lexis.R              |    3 +++
 inst/doc/Follow-up.pdf |binary
 inst/doc/simLexis.pdf  |binary
 inst/doc/yll.pdf       |binary
 man/LCa.fit.Rd         |    5 ++---
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 man/cutLexis.Rd        |    1 +
 man/splitLexis.Rd      |    6 +++++-
 man/transform.Lexis.Rd |   12 +++++++++++-
 15 files changed, 55 insertions(+), 25 deletions(-)

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Package TAM updated to version 2.4-9 with previous version 2.3-18 dated 2017-06-25

Title: Test Analysis Modules
Description: Includes marginal maximum likelihood estimation of uni- and multidimensional item response models (Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models, Located Latent Class Models) and joint maximum likelihood estimation for models from the Rasch family. Latent regression models and plausible value imputation are also supported.
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between TAM versions 2.3-18 dated 2017-06-25 and 2.4-9 dated 2017-06-30

 DESCRIPTION                                      |    8 
 MD5                                              |   22 +-
 NAMESPACE                                        |    1 
 R/RcppExports.R                                  |   16 +
 R/tam.mml.wle2.R                                 |  216 +++++++++++++++--------
 R/tam.pv.R                                       |   29 +--
 R/tam_pv_draw_pv_normal_approximation_multidim.R |only
 R/tam_pv_sampling_theta.R                        |    6 
 inst/NEWS                                        |   23 ++
 man/tam.wle.Rd                                   |    4 
 src/RcppExports.cpp                              |   49 +++++
 src/init.c                                       |   72 ++++---
 src/tam_pv_multivariate_normal_approximation.cpp |only
 13 files changed, 313 insertions(+), 133 deletions(-)

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Package spam updated to version 2.1-0 with previous version 1.4-0 dated 2016-08-30

Title: SPArse Matrix
Description: Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64).
Author: Reinhard Furrer [aut, cre], Florian Gerber [ctb], Daniel Gerber [ctb], Kaspar Moesinger [ctb]
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

Diff between spam versions 1.4-0 dated 2016-08-30 and 2.1-0 dated 2017-06-30

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 spam-2.1-0/spam/NAMESPACE                                 |   18 
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 spam-2.1-0/spam/R/s4coerce.R                              |   19 
 spam-2.1-0/spam/R/spam_solve.R                            |  879 ++++--
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 spam-2.1-0/spam/demo/jss15-BYM.R                          |    2 
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 spam-2.1-0/spam/man/powerboost.Rd                         |    3 
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Package rpostgis updated to version 1.3.0 with previous version 1.2.1 dated 2017-05-07

Title: R Interface to a 'PostGIS' Database
Description: Provides an interface between R and 'PostGIS'-enabled 'PostgreSQL' databases to transparently transfer spatial data. Both vector (points, lines, polygons) and raster data are supported in read and write modes. Also provides convenience functions to execute common procedures in 'PostgreSQL/PostGIS'.
Author: Mathieu Basille [aut], David Bucklin [aut, cre]
Maintainer: David Bucklin <david.bucklin@gmail.com>

Diff between rpostgis versions 1.2.1 dated 2017-05-07 and 1.3.0 dated 2017-06-30

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 40 files changed, 756 insertions(+), 316 deletions(-)

More information about rpostgis at CRAN
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Package epiR updated to version 0.9-87 with previous version 0.9-82 dated 2017-04-07

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.
Author: Mark Stevenson <mark.stevenson1@unimelb.edu.au> with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Solymos, Kazuki Yoshida, Geoff Jones, Sarah Pirikahu, Simon Firestone and Ryan Kyle.
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

Diff between epiR versions 0.9-82 dated 2017-04-07 and 0.9-87 dated 2017-06-30

 DESCRIPTION           |   10 
 MD5                   |   20 
 R/epi.2by2.R          | 4859 +++++++++++++++++++++++++-------------------------
 R/epi.ccsize.R        |  119 +
 R/epi.conf.R          |    7 
 R/epi.equivb.R        |   68 
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Package adaptMCMC updated to version 1.2 with previous version 1.1 dated 2012-06-22

Title: Implementation of a Generic Adaptive Monte Carlo Markov Chain Sampler
Description: Enables sampling from arbitrary distributions if the log density is known up to a constant; a common situation in the context of Bayesian inference. The implemented sampling algorithm was proposed by Vihola (2012) <DOI:10.1007/s11222-011-9269-5> and achieves often a high efficiency by tuning the proposal distributions to a user defined acceptance rate.
Author: Andreas Scheidegger, <andreas.scheidegger@eawag.ch>, <scheidegger.a@gmail.com>
Maintainer: Andreas Scheidegger <andreas.scheidegger@eawag.ch>

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Package shazam updated to version 0.1.8 with previous version 0.1.7 dated 2017-05-14

Title: Immunoglobulin Somatic Hypermutation Analysis
Description: Provides a computational framework for Bayesian estimation of antigen-driven selection in immunoglobulin (Ig) sequences, providing an intuitive means of analyzing selection by quantifying the degree of selective pressure. Also provides tools to profile mutations in Ig sequences, build models of somatic hypermutation (SHM) in Ig sequences, and make model-dependent distance comparisons of Ig repertoires.
Author: Mohamed Uduman [aut], Gur Yaari [aut], Namita Gupta [aut], Jason Vander Heiden [aut, cre], Ang Cui [ctb], Susanna Marquez [ctb], Julian Zhou [ctb], Nima Nouri [ctb], Steven Kleinstein [aut, cph]
Maintainer: Jason Vander Heiden <jason.vanderheiden@yale.edu>

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Package multimark updated to version 2.0.1 with previous version 2.0.0 dated 2016-09-02

Title: Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks
Description: Traditional and spatial capture-mark-recapture analysis with multiple non-invasive marks. The models implemented in 'multimark' combine encounter history data arising from two different non-invasive ``marks'', such as images of left-sided and right-sided pelage patterns of bilaterally asymmetrical species, to estimate abundance and related demographic parameters while accounting for imperfect detection. Bayesian models are specified using simple formulae and fitted using Markov chain Monte Carlo. Addressing deficiencies in currently available software, 'multimark' also provides a user-friendly interface for performing Bayesian multimodel inference using non-spatial or spatial capture-recapture data consisting of a single conventional mark or multiple non-invasive marks.
Author: Brett T. McClintock [aut, cre], Acho Arnold [ctb, cph] (C original matrix library, https://github.com/najela/matrix.h), Barry Brown [ctb] (Fortran original ranlib library), James Lovato [ctb] (Fortran original ranlib library), John Burkardt [ctb] (C original ranlib library, http://people.sc.fsu.edu/~jburkardt/c_src/ranlib), Cleve Moler [ctb] (C original linpack library, http://www.kkant.net/geist/ranlib/), Arjun Gopalaswamy [ctb] (modified snippets of R package SPACECAP code)
Maintainer: Brett T. McClintock <brett.mcclintock@noaa.gov>

Diff between multimark versions 2.0.0 dated 2016-09-02 and 2.0.1 dated 2017-06-30

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Package metaviz updated to version 0.1.1 with previous version 0.1.0 dated 2017-02-06

Title: Rainforest Plots and Visual Funnel Plot Inference for Meta-Analysis
Description: Creates rainforest plots (proposed by Schild & Voracek, 2015 <doi:10.1002/jrsm.1125>), a variant and enhancement of the classic forest plot for meta-analysis. In addition, functionalities for visual funnel plot inference are provided. In the near future, the 'metaviz' package will be extended by further, established as well as novel, plotting options for visualizing meta-analytic data.
Author: Michael Kossmeier [cre, aut], Ulrich S. Tran [aut], Martin Voracek [aut]
Maintainer: Michael Kossmeier <michael.kossmeier@univie.ac.at>

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Package factorMerger updated to version 0.3.1 with previous version 0.3 dated 2017-06-25

Title: Hierarchical Algorithm for Post-Hoc Testing
Description: A set of tools to support results of post-hoc testing and enable to extract hierarchical structure of factors. Work on this package was financially supported by the 'NCN Opus grant 2016/21/B/ST6/02176'.
Author: Agnieszka Sitko [aut, cre], Przemyslaw Biecek [aut, ths]
Maintainer: Agnieszka Sitko <ag.agnieszka.sitko@gmail.com>

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Package DLMtool updated to version 4.3.1 with previous version 4.2 dated 2017-06-02

Title: Data-Limited Methods Toolkit
Description: Development, simulation testing, and implementation of management procedures for data-limited fisheries (see Carruthers et al (2014) <doi:10.1016/j.fishres.2013.12.014>).
Author: Tom Carruthers [aut, cre], Adrian Hordyk [aut]
Maintainer: Tom Carruthers <t.carruthers@fisheries.ubc.ca>

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Package StratifiedRF updated to version 0.2.2 with previous version 0.1.1 dated 2017-06-21

Title: Builds Trees by Sampling Variables in Groups
Description: Random Forest-like tree ensemble that works with groups of predictor variables. When building a tree, a number of variables is taken randomly from each group separately, thus ensuring that it considers variables from each group for the splits. Useful when rows contain information about different things (e.g. user information and product information) and it's not sensible to make a prediction with information from only one group of variables, or when there are far more variables from one group than the other and it's desired to have groups appear evenly on trees. Trees are grown using the C5.0 algorithm rather than the usual CART algorithm. Supports parallelization (multithreaded), missing values in predictors, and categorical variables (without doing One-Hot encoding in the processing). Can also be used to create a regular (non-stratified) Random Forest-like model, but made up of C5.0 trees and with some additional control options. As it's built with C5.0 trees, it works only for classification (not for regression).
Author: David Cortes <david.cortes.rivera@gmail.com>
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package RTaxometrics updated to version 2.2 with previous version 2.1 dated 2017-06-29

Title: Taxometric Analysis
Description: We provide functions to perform taxometric analyses. This package contains 42 functions, but only 5 should be called directly by users. CheckData() should be run prior to any taxometric analysis to ensure that the data are appropriate for taxometric analysis. RunTaxometrics() performs taxometric analyses for a sample of data. RunCCFIProfile() performs a series of taxometric analyses to generate a CCFI profile. CreateData() generates a sample of categorical or dimensional data. ClassifyCases() assigns cases to groups using the base-rate classification method.
Author: John Ruscio <ruscio@tcnj.edu> and Shirley Wang <wangs7@tcnj.edu>
Maintainer: John Ruscio <ruscio@tcnj.edu>

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Package riskRegression updated to version 1.4.3 with previous version 1.3.7 dated 2017-03-12

Title: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks
Description: Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.
Author: Thomas Alexander Gerds, Thomas Harder Scheike, Paul Blanche, Brice Ozenne
Maintainer: Thomas Alexander Gerds <tag@biostat.ku.dk>

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Package rakeR updated to version 0.2.0 with previous version 0.1.2 dated 2016-11-14

Title: Easy Spatial Microsimulation (Raking) in R
Description: Functions for performing spatial microsimulation ('raking') in R.
Author: Phil Mike Jones [aut, cre], Robin Lovelace [aut] (Many functions are based on code by Robin Lovelace and Morgane Dumont), Morgane Dumont [aut] (Many functions are based on code by Robin Lovelace and Morgane Dumont), Andrew Smith [ctb]
Maintainer: Phil Mike Jones <philmikejones@gmail.com>

Diff between rakeR versions 0.1.2 dated 2016-11-14 and 0.2.0 dated 2017-06-30

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Package PAFit updated to version 1.0.0.1 with previous version 1.0.0.0 dated 2017-06-14

Title: Generative Mechanism Estimation in Temporal Complex Networks
Description: Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided.
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongpham@thongpham.net>

Diff between PAFit versions 1.0.0.0 dated 2017-06-14 and 1.0.0.1 dated 2017-06-30

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New package hhh4contacts with initial version 0.13.0
Package: hhh4contacts
Version: 0.13.0
Date: 2017-06-29
License: GPL-2
Authors@R: c(person("Sebastian", "Meyer", email = "seb.meyer@fau.de", role = c("aut","cre")), person("Leonhard", "Held", email = "Leonhard.Held@uzh.ch", role = c("ctb","ths")))
Title: Age-Structured Spatio-Temporal Models for Infectious Disease Counts
Description: Meyer and Held (2017) <doi:10.1093/biostatistics/kxw051> present an age-structured spatio-temporal model for infectious disease counts. The approach is illustrated in a case study on norovirus gastroenteritis in Berlin, 2011-2015, by age group, city district and week, using additional contact data from the POLYMOD survey. This package contains the data and code to reproduce the results from the paper, see 'demo("hhh4contacts")'.
Depends: R (>= 3.2.0), grDevices, graphics, methods, stats, utils, surveillance (>= 1.14.0)
Suggests: MASS, lattice, gridExtra, scales, numDeriv
LazyData: yes
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-06-30 17:09:48 UTC; smeyer
Author: Sebastian Meyer [aut, cre], Leonhard Held [ctb, ths]
Maintainer: Sebastian Meyer <seb.meyer@fau.de>
Repository: CRAN
Date/Publication: 2017-06-30 17:28:14 UTC

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New package GMSE with initial version 0.2.2.5
Package: GMSE
Type: Package
Title: Generalised Management Strategy Evaluation Simulator
Version: 0.2.2.5
Imports: grDevices (>= 3.3.3), graphics (>= 3.3.3), stats (>= 3.3.3)
Authors@R: person("A. Bradley", "Duthie", email = "brad.duthie@gmail.com", role = c("aut", "cre"))
Maintainer: A. Bradley Duthie <brad.duthie@gmail.com>
Description: Integrates game theory and ecological theory to construct social-ecological models that simulate the management of populations and stakeholder actions. These models build off of a previously developed management strategy evaluation (MSE) framework to simulate all aspects of management: population dynamics, manager observation of populations, manager decision making, and stakeholder responses to management decisions. The newly developed game-theoretic management strategy evaluation (GMSE) framework uses genetic algorithms to mimic the decision-making process of managers and stakeholders under conditions of change, uncertainty, and conflict.
URL: https://bradduthie.github.io/gmse/
BugReports: https://github.com/bradduthie/gmse/issues
Depends: R (>= 3.3.3)
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: yes
Packaged: 2017-06-30 14:03:13 UTC; brad
Author: A. Bradley Duthie [aut, cre]
Repository: CRAN
Date/Publication: 2017-06-30 17:28:16 UTC

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Package bibtex updated to version 0.4.2 with previous version 0.4.0 dated 2014-12-31

Title: Bibtex Parser
Description: Utility to parse a bibtex file.
Author: Romain Francois [aut, cre], Kurt Hornik [ctb], Michael Koohafkan [ctb], Mathew W. McLean [ctb]
Maintainer: Romain Francois <romain@r-enthusiasts.com>

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Package BiBitR updated to version 0.3.1 with previous version 0.3.0 dated 2017-06-29

Title: R Wrapper for Java Implementation of BiBit
Description: A simple R wrapper for the Java BiBit algorithm from "A biclustering algorithm for extracting bit-patterns from binary datasets" from Domingo et al. (2011) <DOI:10.1093/bioinformatics/btr464>. An simple adaption for the BiBit algorithm which allows noise in the biclusters is also introduced as well as a function to guide the algorithm towards given (sub)patterns. Further, a workflow to derive noisy biclusters from discoverd larger column patterns is included as well.
Author: De Troyer Ewoud
Maintainer: De Troyer Ewoud <ewoud.detroyer@uhasselt.be>

Diff between BiBitR versions 0.3.0 dated 2017-06-29 and 0.3.1 dated 2017-06-30

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Package aws.ec2metadata updated to version 0.1.2 with previous version 0.1.1 dated 2016-12-20

Title: Get EC2 Instance Metadata
Description: Retrieve Amazon EC2 instance metadata from within the running instance.
Author: Thomas J. Leeper [aut, cre]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

Diff between aws.ec2metadata versions 0.1.1 dated 2016-12-20 and 0.1.2 dated 2017-06-30

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Package AIG updated to version 0.1.7 with previous version 0.1.6 dated 2017-06-01

Title: Automatic Item Generator
Description: A collection of Automatic Item Generators used mainly for psychological research. This package can generate linear syllogistic reasoning, arithmetic and 2D/3D/Double 3D spatial reasoning items. It is recommended for research purpose only.
Author: Bao Sheng Loe (Aiden) [aut, cre, cph], David Condon [ctb, cph], Francis Smart [ctb, cph]
Maintainer: Bao Sheng Loe (Aiden) <bsl28@cam.ac.uk>

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New package ukbtools with initial version 0.9.0
Package: ukbtools
Version: 0.9.0
Title: Manipulate and Explore UK Biobank Data
Authors@R: person("Ken", "Hanscombe", email = "ken.hanscombe@gmail.com", role = c("aut", "cre"))
Maintainer: Ken Hanscombe <ken.hanscombe@gmail.com>
Description: A set of tools to create a UK Biobank <http://www.ukbiobank.ac.uk/> dataset from a UKB fileset (.tab, .r, .html), visualize primary demographic data for a sample subset, query ICD diagnoses, retrieve genetic metadata, read and write standard file formats for genetic analyses.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: dplyr, purrr, readr, ggplot2, XML, magrittr, grid
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-06-30 12:59:18 UTC; ken
Author: Ken Hanscombe [aut, cre]
Repository: CRAN
Date/Publication: 2017-06-30 13:22:54 UTC

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Package tm.plugin.lexisnexis updated to version 1.3.1 with previous version 1.3 dated 2016-06-29

Title: Import Articles from 'LexisNexis' Using the 'tm' Text Mining Framework
Description: Provides a 'tm' Source to create corpora from articles exported from the 'LexisNexis' content provider as HTML files. It is able to read both text content and meta-data information (including source, date, title, author and pages). Note that the file format is highly unstable: there is no warranty that this package will work for your corpus, and you may have to adjust the code to adapt it to your particular format.
Author: Milan Bouchet-Valat [aut, cre]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>

Diff between tm.plugin.lexisnexis versions 1.3 dated 2016-06-29 and 1.3.1 dated 2017-06-30

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Package scpm updated to version 1.0-2 with previous version 1.0-1 dated 2017-06-28

Title: An R Package for Spatial Smoothing
Description: Group of functions for spatial smoothing using cubic splines and variogram maximum likelihood estimation. Also allow the inclusion of linear parametric terms and change-points for segmented smoothing splines models.
Author: Mario A. Martínez Araya [aut,cre] and Jianxin Pan [ths]
Maintainer: Mario A. Martínez Araya <mma@mariomartinezaraya.com>

Diff between scpm versions 1.0-1 dated 2017-06-28 and 1.0-2 dated 2017-06-30

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New package rxylib with initial version 0.1.0
Package: rxylib
Type: Package
Title: Import XY-Data into R
Description: Provides access to the 'xylib' C library for to import xy data from powder diffraction, spectroscopy and other experimental methods.
Version: 0.1.0
Date: 2017-06-28
Author: Sebastian Kreutzer [aut, trl, cre], RLum Team [ctb], Marcin Wojdyr [cph] (C++ library 'xylib'), Peng Zhang [cph] (C++ library 'xylib')
Authors@R: c( person("Sebastian", "Kreutzer", role = c("aut", "trl", "cre"), email = "sebastian.kreutzer@u-bordeaux-montaigne.fr"), person(family = "RLum Team", role = "ctb"), person("Marcin", "Wojdyr", role = c("cph"), comment = "C++ library 'xylib'"), person("Peng", "Zhang", role = c("cph"), comment = "C++ library 'xylib'"))
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@u-bordeaux-montaigne.fr>
URL: https://github.com/R-Lum/rxylib
BugReports: https://github.com/R-Lum/rxylib/issues
License: GPL-3 | LGPL-2.1
Depends: R (>= 3.3.0), utils
Imports: Rcpp (>= 0.12.11), stringr (>= 1.2.0), httr (>= 1.2.1)
Suggests: testthat (>= 1.0.2)
LinkingTo: Rcpp (>= 0.12.11), BH (>= 1.62.0-1)
Encoding: UTF-8
Collate: 'rxylib.R' 'RcppExports.R' 'read_xyData.R'
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-06-30 06:50:03 UTC; kreutzer
Repository: CRAN
Date/Publication: 2017-06-30 13:11:25 UTC

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Package rAmCharts updated to version 2.1.5 with previous version 2.1.3 dated 2017-01-18

Title: JavaScript Charts Tool
Description: Provides an R interface for using 'AmCharts' Library. Based on 'htmlwidgets', it provides a global architecture to generate 'JavaScript' source code for charts. Most of classes in the library have their equivalent in R with S4 classes; for those classes, not all properties have been referenced but can easily be added in the constructors. Complex properties (e.g. 'JavaScript' object) can be passed as named list. See examples at <http://datastorm-open.github.io/introduction_ramcharts/> and <http://www.amcharts.com/> for more information about the library. The package includes the free version of 'AmCharts' Library. Its only limitation is a small link to the web site displayed on your charts. If you enjoy this library, do not hesitate to refer to this page <http://www.amcharts.com/online-store/> to purchase a licence, and thus support its creators and get a period of Priority Support. See also <http://www.amcharts.com/about/> for more information about 'AmCharts' company.
Author: Jeffery Petit [aut, cre], Antanas Marcelionis [aut, cph] ('AmCharts' library in th directory htmlwidgets/lib/amcharts, refer to http://www.amcharts.com/), Benoit Thieurmel [aut, ctb], Elena Salette [aut, ctb], Titouan Robert [aut, ctb]
Maintainer: Jeffery Petit <jeffery.petit@datastorm.fr>

Diff between rAmCharts versions 2.1.3 dated 2017-01-18 and 2.1.5 dated 2017-06-30

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More information about rAmCharts at CRAN
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Package osmplotr updated to version 0.3.0 with previous version 0.2.3 dated 2016-07-13

Title: Bespoke Images of 'OpenStreetMap' Data
Description: Bespoke images of 'OpenStreetMap' ('OSM') data and data visualisation using 'OSM' objects.
Author: Mark Padgham [aut, cre], Finkelstein Noam [ctb, cph] (Author of included stub.R code), Bartnik Lukasz [ctb, cph] (Author of included stub.R code)
Maintainer: Mark Padgham <mark.padgham@email.com>

Diff between osmplotr versions 0.2.3 dated 2016-07-13 and 0.3.0 dated 2017-06-30

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More information about osmplotr at CRAN
Permanent link

Package idem updated to version 2.2 with previous version 2.0 dated 2017-04-23

Title: Inference in Randomized Controlled Trials with Death and Missingness
Description: In randomized studies involving severely ill patients, functional outcomes are often unobserved due to missed clinic visits, premature withdrawal or death. It is well known that if these unobserved functional outcomes are not handled properly, biased treatment comparisons can be produced. In this package, we implement a procedure for comparing treatments that is based on the composite endpoint of both the functional outcome and survival. The procedure was proposed in Wang et al. (2016) <doi:10.1111/biom.12594>. It considers missing data imputation with a sensitivity analysis strategy to handle the unobserved functional outcomes not due to death.
Author: Chenguang Wang [aut, cre], Andrew Leroux [aut, cre], Elizabeth Colantuoni [aut], Daniel O Scharfstein [aut], Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Maintainer: Chenguang Wang <cwang68@jhmi.edu>

Diff between idem versions 2.0 dated 2017-04-23 and 2.2 dated 2017-06-30

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More information about idem at CRAN
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Package FuzzyNumbers.Ext.2 updated to version 2.0 with previous version 1.0 dated 2017-03-18

Title: Apply Two Fuzzy Numbers on a Monotone Function
Description: One can easily draw the membership function of f(x,y) by package 'FuzzyNumbers.Ext.2' in which f(.,.) is supposed monotone and x and y are two fuzzy numbers. This work is possible using function f2apply() which is an extension of function fapply() from Package 'FuzzyNumbers' for two-variable monotone functions. Moreover, the ability of computing the core, support and alpha-cuts of the result is added to the Version 2.0.
Author: Abbas Parchami (Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran)
Maintainer: Abbas Parchami <parchami@uk.ac.ir>

Diff between FuzzyNumbers.Ext.2 versions 1.0 dated 2017-03-18 and 2.0 dated 2017-06-30

 DESCRIPTION       |   10 +++---
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Package dfpk updated to version 3.3.1 with previous version 3.3.0 dated 2017-06-29

Title: Bayesian Dose-Finding Designs using Pharmacokinetics(PK) for Phase I Clinical Trials
Description: Statistical methods involving PK measures are provided, in the dose allocation process during a Phase I clinical trials. These methods enter pharmacokinetics (PK) in the dose finding designs in different ways, including covariates models, dependent variable or hierarchical models. This package provides functions to generate data from several scenarios and functions to run simulations which their objective is to determine the maximum tolerated dose (MTD).
Author: Artemis Toumazi <artemis.toumazi@inserm.fr>, Moreno Ursino <moreno.ursino@inserm.fr> and Sarah Zohar <sarah.zohar@inserm.fr>
Maintainer: Artemis Toumazi <artemis.toumazi@inserm.fr>

Diff between dfpk versions 3.3.0 dated 2017-06-29 and 3.3.1 dated 2017-06-30

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New package BIGL with initial version 1.0.1
Package: BIGL
Type: Package
Title: Biochemically Intuitive Generalized Loewe Model
Version: 1.0.1
Date: 2017-06-29
Author: Heather Turner, Annelies Tourny, Olivier Thas, Maxim Nazarov, Rytis Bagdziunas
Maintainer: Rytis Bagdziunas <rytis.bagdziunas@openanalytics.eu>
Description: Response surface methods for drug synergy analysis. Available methods include generalized and classical Loewe formulations as well as Highest Single Agent methodology. Response surfaces can be plotted in an interactive 3-D plot and formal statistical tests for presence of synergistic effects are available.
License: GPL-3
Depends: R (>= 2.10)
Imports: ggplot2, MASS, methods, minpack.lm, numDeriv, parallel, progress, rgl, robustbase, scales
Suggests: knitr, testthat, shiny, DT
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/openanalytics/BIGL
BugReports: https://github.com/openanalytics/BIGL/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-06-30 06:33:45 UTC; rbagdziunas
Repository: CRAN
Date/Publication: 2017-06-30 13:10:30 UTC

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Package DA.MRFA (with last version 1.1.2) was removed from CRAN

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

2017-05-22 1.1.2
2017-04-19 1.1

Permanent link
Package tclust updated to version 1.2-7 with previous version 1.2-3 dated 2014-10-20

Title: Robust Trimmed Clustering
Description: Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al. (2012) <doi:10.18637/jss.v047.i12> and others.
Author: Agustin Mayo Iscar, Luis Angel Garcia Escudero, Heinrich Fritz
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

Diff between tclust versions 1.2-3 dated 2014-10-20 and 1.2-7 dated 2017-06-30

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More information about tclust at CRAN
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Package OpasnetUtils updated to version 1.3 with previous version 1.2.0 dated 2015-06-03

Title: Opasnet Modelling Environment Utility Functions
Description: Contains tools for open assessment and modelling in Opasnet, a wiki-based web site and workspace for societal decision making (see <http://en.opasnet.org/w/Main_Page> for more information). The core principle of the workspace is maximal openness and modularity. Variables are defined on public wiki pages using wiki inputs/tables, databases and R code. This package provides the functionality to download and use these variables. It also contains health impact assessment tools such as spatial methods for exposure modelling.
Author: Teemu Rintala, Einari Happonen, Jouni Tuomisto
Maintainer: Teemu Rintala <teemu.rintala.a@gmail.com>

Diff between OpasnetUtils versions 1.2.0 dated 2015-06-03 and 1.3 dated 2017-06-30

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Package funrar updated to version 1.2.0 with previous version 1.1.1 dated 2017-06-27

Title: Functional Rarity Indices Computation
Description: Computes functional rarity indices as proposed by Violle et al. (2017) <doi:10.1016/j.tree.2017.02.002>. Various indices can be computed using both regional and local information. Functional Rarity combines both the functional aspect of rarity as well as the extent aspect of rarity.
Author: Matthias Grenié [aut, cre], Pierre Denelle [aut], Caroline Tucker [aut]
Maintainer: Matthias Grenié <matthias.grenie@gmail.com>

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 funrar-1.2.0/funrar/R/scarcity.R                            |  336 +--
 funrar-1.2.0/funrar/R/stack_matrix.R                        |  312 +--
 funrar-1.2.0/funrar/R/uniqueness.R                          |  290 +--
 funrar-1.2.0/funrar/README.md                               |   88 
 funrar-1.2.0/funrar/build/vignette.rds                      |binary
 funrar-1.2.0/funrar/inst/doc/rarity_indices.R               |  324 +--
 funrar-1.2.0/funrar/inst/doc/rarity_indices.Rmd             |  700 +++----
 funrar-1.2.0/funrar/inst/doc/rarity_indices.html            | 1138 ++++++------
 funrar-1.2.0/funrar/inst/doc/sparse_matrices.R              |  186 -
 funrar-1.2.0/funrar/inst/doc/sparse_matrices.Rmd            |  320 +--
 funrar-1.2.0/funrar/inst/doc/sparse_matrices.html           |  464 ++--
 funrar-1.2.0/funrar/man/combination_trait_dist.Rd           |only
 funrar-1.2.0/funrar/man/compute_dist_matrix.Rd              |  146 -
 funrar-1.2.0/funrar/man/distinctiveness.Rd                  |  158 -
 funrar-1.2.0/funrar/man/distinctiveness_com.Rd              |   92 
 funrar-1.2.0/funrar/man/distinctiveness_dimensions.Rd       |only
 funrar-1.2.0/funrar/man/distinctiveness_stack.Rd            |  126 -
 funrar-1.2.0/funrar/man/funrar.Rd                           |   90 
 funrar-1.2.0/funrar/man/funrar_stack.Rd                     |   98 -
 funrar-1.2.0/funrar/man/is_relative.Rd                      |   76 
 funrar-1.2.0/funrar/man/make_relative.Rd                    |   54 
 funrar-1.2.0/funrar/man/matrix_to_stack.Rd                  |   92 
 funrar-1.2.0/funrar/man/restrictedness.Rd                   |  110 -
 funrar-1.2.0/funrar/man/restrictedness_stack.Rd             |   88 
 funrar-1.2.0/funrar/man/scarcity.Rd                         |  102 -
 funrar-1.2.0/funrar/man/scarcity_com.Rd                     |   82 
 funrar-1.2.0/funrar/man/scarcity_stack.Rd                   |  102 -
 funrar-1.2.0/funrar/man/stack_to_matrix.Rd                  |   84 
 funrar-1.2.0/funrar/man/uniqueness.Rd                       |  128 -
 funrar-1.2.0/funrar/man/uniqueness_dimensions.Rd            |only
 funrar-1.2.0/funrar/man/uniqueness_stack.Rd                 |  100 -
 funrar-1.2.0/funrar/tests/testthat.R                        |    8 
 funrar-1.2.0/funrar/tests/testthat/test-check_functions.R   |  350 +--
 funrar-1.2.0/funrar/tests/testthat/test-dist_matrix.R       |  290 +--
 funrar-1.2.0/funrar/tests/testthat/test-rarity_dimensions.R |  239 +-
 funrar-1.2.0/funrar/tests/testthat/test-rarity_indices.R    |  616 +++---
 funrar-1.2.0/funrar/tests/testthat/test-rel_abund.R         |  166 -
 funrar-1.2.0/funrar/tests/testthat/test-tidy_matrix.R       |  318 +--
 funrar-1.2.0/funrar/vignettes/rarity_indices.Rmd            |  700 +++----
 funrar-1.2.0/funrar/vignettes/sparse_matrices.Rmd           |  320 +--
 52 files changed, 5671 insertions(+), 5583 deletions(-)

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