Thu, 23 Feb 2017

Package sdcTable updated to version 0.22.1 with previous version 0.21.6 dated 2016-08-22

Title: Methods for Statistical Disclosure Control in Tabular Data
Description: Methods for statistical disclosure control in tabular data such as primary and secondary cell suppression are covered in this package.
Author: Bernhard Meindl
Maintainer: Bernhard Meindl <bernhard.meindl@statistik.gv.at>

Diff between sdcTable versions 0.21.6 dated 2016-08-22 and 0.22.1 dated 2017-02-23

 DESCRIPTION                        |   10 -
 MD5                                |  139 ++++++++++++------------
 NAMESPACE                          |    5 
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 73 files changed, 462 insertions(+), 202 deletions(-)

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New package lsasim with initial version 1.0.0
Package: lsasim
Title: Simulate Large Scale Assessment Data
Version: 1.0.0
Authors@R: c( person("Tyler", "Matta", email = "tyler.matta@gmail.com", role = c("aut", "cre")), person("Yuan-Ling Linda", "Liaw", email = "linda08@uw.edu", role = "ctb"), person("Leslie", "Rutkowski", email = "leslie.rutkowski@cemo.uio.no", role = "ctb"), person("David", "Rutkowski", email = "david.rutkowski@cemo.uio.no", role = "ctb"), person("Kondwani Kajera", "Mughogho", email = "k.k.mughogho@cemo.uio.no", role = "ctb") )
BugReports: https://github.com/tmatta/lsasim/issues
Description: Provides functions to simulate data from large-scale educational assessments, including background questionnaire data and cognitive item responses that adhere to a multiple-matrix sampled design.
Depends: R (>= 3.3.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-23 07:23:47 UTC; tylerm
Author: Tyler Matta [aut, cre], Yuan-Ling Linda Liaw [ctb], Leslie Rutkowski [ctb], David Rutkowski [ctb], Kondwani Kajera Mughogho [ctb]
Maintainer: Tyler Matta <tyler.matta@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-23 11:14:36

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New package fpp2 with initial version 2.0
Package: fpp2
Version: 2.0
Title: Data for "Forecasting: Principles and Practice" (2nd Ed)
Description: All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos. All packages required to run the examples are also loaded.
Depends: R (>= 2.0.0), forecast (>= 8.0), fma, expsmooth, ggplot2
LazyData: yes
LazyLoad: yes
Authors@R: c(person(given="Rob", family="Hyndman", role=c("aut", "cre", "cph"), email="Rob.Hyndman@monash.edu"))
License: GPL (>= 2)
URL: http://OTexts.org/fpp2/
NeedsCompilation: no
Packaged: 2017-02-23 09:05:02 UTC; robjhyndman
Author: Rob Hyndman [aut, cre, cph]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>
Repository: CRAN
Date/Publication: 2017-02-23 11:14:33

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New package tuckerR.mmgg with initial version 1.5.0
Package: tuckerR.mmgg
Type: Package
Title: Three-Mode Principal Components Analysis
Version: 1.5.0
Authors@R: c( person("Marta","Marticorena",role = "aut"), person("Gustavo","Gimenez",email = "gustavo.gimenez@faea.uncoma.edu.ar",role="cre"), person("Cecilia","Gonzalez",role = "ctb"), person("Sergio","Bramardi",role = "aut"))
Maintainer: Gustavo Gimenez <gustavo.gimenez@faea.uncoma.edu.ar>
Description: Performs Three-Mode Principal Components Analysis, which carries out Tucker Models.
Depends: R (>= 3.3.0)
Suggests: knitr,testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
URL: https://github.com/gusart/tuckerR_mmgg
BugReports: https://github.com/gusart/tuckerR_mmgg/issues
NeedsCompilation: no
Packaged: 2017-02-23 02:18:11 UTC; gusart
Author: Marta Marticorena [aut], Gustavo Gimenez [cre], Cecilia Gonzalez [ctb], Sergio Bramardi [aut]
Repository: CRAN
Date/Publication: 2017-02-23 08:31:38

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New package sppmix with initial version 1.0.0.0
Package: sppmix
Title: Modeling Spatial Poisson and Related Point Processes
Version: 1.0.0.0
Author: Jiaxun Chen <chenjiaxun9@hotmail.com> and Athanasios (Sakis) Christou Micheas <micheasa@missouri.edu>. Significant contributions on the package skeleton creation, plotting functions and other code by Yuchen Wang <ycwang0712@gmail.com>
Maintainer: Sakis Micheas <micheasa@missouri.edu>
Description: Implements classes and methods for modeling spatial point patterns using inhomogeneous Poisson point processes, where the intensity surface is assumed to be analogous to a finite additive mixture of normal components and the number of components is a finite, fixed or random integer. Extensions to the marked inhomogeneous Poisson point processes case are also presented. We provide an extensive suite of R functions that can be used to simulate, visualize and model point patterns, estimate the parameters of the models, assess convergence of the algorithms and perform model selection and checking in the proposed modeling context.
Depends: R (>= 3.2.1), stats, graphics, grDevices, utils, USAboundaries
License: CC BY-NC-SA 4.0
LazyData: true
Imports: Rcpp, spatstat, rgl, fields, mvtnorm, ggplot2 (>= 2.1.0), matrixcalc,sp
LinkingTo: Rcpp, RcppArmadillo, mvtnorm
URL: http://www.stat.missouri.edu/~amicheas/sppmix/index.html
RoxygenNote: 5.0.1
Suggests: knitr,rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-02-22 13:58:12 UTC; sakis
Repository: CRAN
Date/Publication: 2017-02-23 08:31:33

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New package robustarima with initial version 0.2.5
Package: robustarima
Type: Package
Title: Robust ARIMA Modeling
Imports: methods, splusTimeDate, splusTimeSeries
Version: 0.2.5
Author: TIBCO Software Inc.
Maintainer: Stephen Kaluzny <skaluzny@tibco.com>
Description: Functions for fitting a linear regression model with ARIMA errors using a filtered tau-estimate.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2017-02-22 18:26:02 UTC; spk
Repository: CRAN
Date/Publication: 2017-02-23 08:31:31

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Package rNOMADS updated to version 2.3.3 with previous version 2.3.2 dated 2016-12-31

Title: An Interface to the NOAA Operational Model Archive and Distribution System
Description: An interface to the National Oceanic and Atmospheric Administration's Operational Model Archive and Distribution System (NOMADS, see <http://nomads.ncep.noaa.gov/> for more information) that allows R users to quickly and efficiently download global and regional weather model data for processing. rNOMADS currently supports a variety of models ranging from global weather data to an altitude of 40 km, to high resolution regional weather models, to wave and sea ice models. It can also retrieve archived NOMADS models. rNOMADS can retrieve binary data in grib format as well as import ascii data directly into R by interfacing with the GrADS-DODS system.
Author: Daniel C. Bowman [aut, cre]
Maintainer: Daniel C. Bowman <danny.c.bowman@gmail.com>

Diff between rNOMADS versions 2.3.2 dated 2016-12-31 and 2.3.3 dated 2017-02-23

 DESCRIPTION |   10 +++++-----
 MD5         |    8 ++++----
 NEWS        |    4 ++++
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 R/Models.R  |   12 ++++++------
 5 files changed, 20 insertions(+), 16 deletions(-)

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New package prefeR with initial version 0.1.1
Package: prefeR
Type: Package
Title: R Package for Pairwise Preference Elicitation
Version: 0.1.1
Date: 2017-02-22
Author: John Lepird
Maintainer: John Lepird <jlepird@alum.mit.edu>
Description: Allows users to derive multi-objective weights from pairwise comparisons, which research shows is more repeatable, transparent, and intuitive other techniques. These weights can be rank existing alternatives or to define a multi-objective utility function for optimization.
License: MIT + file LICENSE
Imports: mcmc, methods, entropy
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-02-22 23:29:46 UTC; jack
Repository: CRAN
Date/Publication: 2017-02-23 08:31:27

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New package neighbr with initial version 1.0
Package: neighbr
Title: Classification, Regression, Clustering with K Nearest Neighbors
Version: 1.0
Authors@R: c( person("Dmitriy", "Bolotov", email = "dmitriy.bolotov@softwareag.com", role = c("aut", "cre")), person("Zementis Inc",role="cph") )
Description: Classification, regression, and clustering with k nearest neighbors algorithm. Implements several distance and similarity measures, covering continuous and logical features. Outputs ranked neighbors. Most features of this package are directly based on the PMML specification for KNN.
Depends: R (>= 3.3.0)
License: GPL (>= 2.1)
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown, mlbench
RoxygenNote: 6.0.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-22 22:44:04 UTC; dmitriy
Author: Dmitriy Bolotov [aut, cre], Zementis Inc [cph]
Maintainer: Dmitriy Bolotov <dmitriy.bolotov@softwareag.com>
Repository: CRAN
Date/Publication: 2017-02-23 08:31:25

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Package naptime updated to version 1.3.0 with previous version 1.2.2 dated 2017-02-09

Title: A Flexible and Robust Sys.sleep() Replacement
Description: Provides a near drop-in replacement for base::Sys.sleep() that allows more types of input to produce delays in the execution of code and can silence/prevent typical sources of error.
Author: Russell S. Pierce [aut, cre], Timothy Gann [aut]
Maintainer: Russell S. Pierce <russell.s.pierce@gmail.com>

Diff between naptime versions 1.2.2 dated 2017-02-09 and 1.3.0 dated 2017-02-23

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Package forecast updated to version 8.0 with previous version 7.3 dated 2016-10-12

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph], Mitchell O'Hara-Wild [aut], Christoph Bergmeir [aut], Slava Razbash [aut], Earo Wang [aut]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between forecast versions 7.3 dated 2016-10-12 and 8.0 dated 2017-02-23

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New package extdplyr with initial version 0.1.3
Package: extdplyr
Type: Package
Title: Data Manipulation Extension Based on 'Dplyr' and 'Tidyr'
Version: 0.1.3
Authors@R: person("Yuchen", "Wang", email = "ycwang0712@gmail.com", role = c("aut", "cre"))
Description: If 'dplyr' is a grammar for data manipulation, 'extdplyr' is like a short paragraph written in 'dplyr'. 'extdplyr' extends 'dplyr' and 'tidyr' verbs to some common "routines" that manipulate data sets. It uses the same interface and preserves all the features from 'dplyr', has good performance, and supports various data sources.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, lazyeval
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-22 19:00:42 UTC; Yuchen
Author: Yuchen Wang [aut, cre]
Maintainer: Yuchen Wang <ycwang0712@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-23 08:31:17

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Package europepmc updated to version 0.1.3 with previous version 0.1.2 dated 2017-01-08

Title: R Interface to the Europe PubMed Central RESTful Web Service
Description: An R Client for the Europe PubMed Central RESTful Web Service (see <https://europepmc.org/RestfulWebService> for more information). It gives access to both metadata on life science literature and open access full texts. Europe PMC indexes all PubMed content and other literature sources including Agricola, a bibliographic database of citations to the agricultural literature, or Biological Patents. In addition to bibliographic metadata, the client allows users to fetch citations and reference lists. Links between life-science literature and other EBI databases, including ENA, PDB or ChEMBL are also accessible. No registration or API key is required. See the vignettes for usage examples.
Author: Najko Jahn [aut, cre, cph]
Maintainer: Najko Jahn <najko.jahn@gmail.com>

Diff between europepmc versions 0.1.2 dated 2017-01-08 and 0.1.3 dated 2017-02-23

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More information about europepmc at CRAN
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Package equSA updated to version 1.0.1 with previous version 1.0.0 dated 2017-02-22

Title: Estimate a Single or Multiple Graphical Models and Construct Networks
Description: Provides an equivalent measure of partial correlation coefficients for high-dimensional Gaussian Graphical Models to learn and visualize the underlying relationships between variables from single or multiple datasets. You can refer to Liang, F., Song, Q. and Qiu, P. (2015) <doi:10.1080/01621459.2015.1012391> for more detail. Based on this method, the package also provides the method for constructing networks for Next Generation Sequencing Data. Besides, it includes the method for jointly estimating Gaussian Graphical Models of multiple datasets.
Author: Bochao Jia, Faming Liang, Runmin Shi, Suwa Xu
Maintainer: Bochao Jia <jbc409@ufl.edu>

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Package diveMove updated to version 1.4.2 with previous version 1.4.1 dated 2016-02-06

Title: Dive Analysis and Calibration
Description: Utilities to represent, visualize, filter, analyse, and summarize time-depth recorder (TDR) data. Miscellaneous functions for handling location data are also provided.
Author: Sebastian P. Luque <spluque@gmail.com>
Maintainer: Sebastian P. Luque <spluque@gmail.com>

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Package distcomp updated to version 0.25.6 with previous version 0.25.4 dated 2015-10-27

Title: Computations over Distributed Data without Aggregation
Description: Implementing algorithms and fitting models when sites (possibly remote) share computation summaries rather than actual data over HTTP with a master R process (using 'opencpu', for example). A stratified Cox model and a singular value decomposition are provided. The former makes direct use of code from the R 'survival' package. (That is, the underlying Cox model code is derived from that in the R 'survival' package.) Sites may provide data via several means: CSV files, Redcap API, etc. An extensible design allows for new methods to be added in the future. Web applications are provided (via 'shiny') for the implemented methods to help in designing and deploying the computations.
Author: Balasubramanian Narasimhan [aut, cre], Marina Bendersky [aut], Sam Gross [aut], Terry M. Therneau [ctb], Thomas Lumley [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

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Package crunch updated to version 1.15.0 with previous version 1.14.4 dated 2017-01-20

Title: Crunch.io Data Tools
Description: The Crunch.io service <http://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Author: Neal Richardson [aut, cre]
Maintainer: Neal Richardson <neal@crunch.io>

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Package codingMatrices updated to version 0.2.2 with previous version 0.2.1 dated 2016-07-09

Title: Alternative Factor Coding Matrices for Linear Model Formulae
Description: A collection of coding functions as alternatives to the standard functions in the stats package, which have names starting with 'contr.'. Their main advantage is that they provide a consistent method for defining marginal effects in multi-way factorial models. In a simple one-way ANOVA model the intercept term is always the simple average of the class means.
Author: Bill Venables
Maintainer: Bill Venables <Bill.Venables@gmail.com>

Diff between codingMatrices versions 0.2.1 dated 2016-07-09 and 0.2.2 dated 2017-02-23

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Package catlearn updated to version 0.4 with previous version 0.3 dated 2016-08-18

Title: Formal Modeling for Psychology
Description: Formal psychological models, independently-replicated data sets against which to test them, and simulation archives.
Author: Andy Wills
Maintainer: Andy Wills <andy@willslab.co.uk>

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Package poplite updated to version 0.99.17.3 with previous version 0.99.16 dated 2015-02-12

Title: Tools for Simplifying the Population and Querying of SQLite Databases
Description: Provides objects and accompanying methods which facilitates populating and querying SQLite databases.
Author: Daniel Bottomly [cre, aut], Shannon McWeeney [aut], Beth Wilmot [aut]
Maintainer: Daniel Bottomly <bottomly@ohsu.edu>

Diff between poplite versions 0.99.16 dated 2015-02-12 and 0.99.17.3 dated 2017-02-23

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Wed, 22 Feb 2017

Package rtk updated to version 0.2.4.1 with previous version 0.2.2 dated 2016-08-10

Title: Rarefaction Tool Kit
Description: Rarefy data, calculate diversity and plot the results.
Author: Paul Saary, Falk Hildebrand
Maintainer: Paul Saary <rtk@paulsaary.de>

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Package Rfast updated to version 1.7.4 with previous version 1.7.3 dated 2016-12-18

Title: Fast R Functions
Description: A collection of fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), Mahalanobis distance are some of the many fast functions.
Author: Manos Papadakis, Michail Tsagris, Marios Dimitriadis, Ioannis Tsamardinos, Matteo Fasiolo, Giorgos Borboudakis and John Burkardt
Maintainer: Manos Papadakis <papadakm95@gmail.com>

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Package medflex updated to version 0.6-1 with previous version 0.6-0 dated 2015-09-13

Title: Flexible Mediation Analysis Using Natural Effect Models
Description: Run flexible mediation analyses using natural effect models as described in Lange, Vansteelandt and Bekaert (2012) <DOI:10.1093/aje/kwr525>, Vansteelandt, Bekaert and Lange (2012) <DOI:10.1515/2161-962X.1014> and Loeys, Moerkerke, De Smet, Buysse, Steen and Vansteelandt (2013) <DOI:10.1080/00273171.2013.832132>.
Author: Johan Steen [aut, cre], Tom Loeys [aut], Beatrijs Moerkerke [aut], Stijn Vansteelandt [aut], Joris Meys [ctb] (technical support), Theis Lange [ctb] (valuable suggestions), Joscha Legewie [ctb]
Maintainer: Johan Steen <johan.steen@gmail.com>

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Package causaleffect updated to version 1.3.3 with previous version 1.3.0 dated 2016-10-07

Title: Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models
Description: Functions for identification and transportation of causal effects. Provides a conditional causal effect identification algorithm (IDC) by Shpitser, I. and Pearl, J. (2006) <http://ftp.cs.ucla.edu/pub/stat_ser/r329-uai.pdf>, an algorithm for transportability from multiple domains with limited experiments by Bareinboim, E. and Pearl, J. (2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf> and a selection bias recovery algorithm by Bareinboim, E. and Tian, J. (2015) <http://ftp.cs.ucla.edu/pub/stat_ser/r445.pdf>. All of the previously mentioned algorithms are based on a causal effect identification algorithm by Tian , J. (2002) <http://ftp.cs.ucla.edu/pub/stat_ser/r309.pdf>.
Author: Santtu Tikka
Maintainer: Santtu Tikka <santtuth@gmail.com>

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Package bsearchtools updated to version 0.0.61 with previous version 0.0.59 dated 2017-01-22

Title: Binary Search Tools
Description: Exposes the binary search functions of the C++ standard library (std::lower_bound, std::upper_bound) plus other convenience functions, allowing faster lookups on sorted vectors.
Author: Marco Giuliano
Maintainer: Marco Giuliano <mgiuliano.mail@gmail.com>

Diff between bsearchtools versions 0.0.59 dated 2017-01-22 and 0.0.61 dated 2017-02-22

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Package TSP updated to version 1.1-5 with previous version 1.1-4 dated 2016-02-22

Title: Traveling Salesperson Problem (TSP)
Description: Basic infrastructure and some algorithms for the traveling salesperson problem (also traveling salesman problem; TSP). The package provides some simple algorithms and an interface to the Concorde TSP solver and its implementation of the Chained-Lin-Kernighan heuristic. The code for Concorde itself is not included in the package and has to be obtained separately.
Author: Michael Hahsler [aut, cre, cph], Kurt Hornik [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between TSP versions 1.1-4 dated 2016-02-22 and 1.1-5 dated 2017-02-22

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Package mvPot updated to version 0.1.2 with previous version 0.1.1 dated 2016-07-11

Title: Multivariate Peaks-over-Threshold Modelling for Spatial Extreme Events
Description: Tools for high-dimensional peaks-over-threshold inference and simulation of spatial extremal processes.
Author: Raphael de Fondeville [aut, cre]
Maintainer: Raphael de Fondeville <raphael.de-fondeville@epfl.ch>

Diff between mvPot versions 0.1.1 dated 2016-07-11 and 0.1.2 dated 2017-02-22

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New package Mangrove with initial version 1.21
Package: Mangrove
Type: Package
Title: Risk Prediction on Trees
Version: 1.21
Date: 2017-02-22
Author: Luke Jostins
Maintainer: Luke Jostins <luke.jostins@kennedy.ox.ac.uk>
Description: Methods for performing genetic risk prediction from genotype data. You can use it to perform risk prediction for individuals, or for families with missing data.
License: GPL (>= 2)
Suggests: kinship2
LazyLoad: yes
Packaged: 2017-02-22 13:14:51 UTC; lj4
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2017-02-22 17:15:37
NeedsCompilation: no

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New package equSA with initial version 1.0.0
Package: equSA
Type: Package
Title: Estimate a Single or Multiple Graphical Models and Construct Networks
Version: 1.0.0
Date: 2017-02-21
Author: Bochao Jia, Faming Liang, Runmin Shi, Suwa Xu
Maintainer: Bochao Jia <jbc409@ufl.edu>
Depends: R (>= 3.0.2)
Imports: igraph, huge, XMRF, ZIM, mvtnorm
Description: Provides an equivalent measure of partial correlation coefficients for high-dimensional Gaussian Graphical Models to learn and visualize the underlying relationships between variables from single or multiple datasets. You can refer to Liang, F., Song, Q. and Qiu, P. (2015) <doi:10.1080/01621459.2015.1012391> for more detail. Based on this method, the package also provides the method for constructing networks for Next Generation Sequencing Data. Besides, it includes the method for jointly estimating Gaussian Graphical Models of multiple datasets.
License: GPL-2
LazyLoad: true
Packaged: 2017-02-22 14:09:22 UTC; jiabochao
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2017-02-22 17:15:33
RoxygenNote: 6.0.1

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Package DecorateR updated to version 0.1.1 with previous version 0.1.0 dated 2017-02-07

Title: Fit and Deploy DECORATE Trees
Description: DECORATE (Diverse Ensemble Creation by Oppositional Relabeling of Artificial Training Examples) builds an ensemble of J48 trees by recursively adding artificial samples of the training data ("Melville, P., & Mooney, R. J. (2005). Creating diversity in ensembles using artificial data. Information Fusion, 6(1), 99-111. <doi:10.1016/j.inffus.2004.04.001>").
Author: Matthias Bogaert, Michel Ballings and Dirk Van den Poel
Maintainer: Matthias Bogaert <Matthias.Bogaert@UGent.Be>

Diff between DecorateR versions 0.1.0 dated 2017-02-07 and 0.1.1 dated 2017-02-22

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Package RWiener updated to version 1.3-1 with previous version 1.2-0 dated 2014-01-25

Title: Wiener Process Distribution Functions
Description: Provides Wiener process distribution functions, namely the Wiener first passage time density, CDF, quantile and random functions. Additionally supplies a modelling function (wdm) and further methods for the resulting object.
Author: Dominik Wabersich [aut, cre]
Maintainer: Dominik Wabersich <dominik.wabersich@gmail.com>

Diff between RWiener versions 1.2-0 dated 2014-01-25 and 1.3-1 dated 2017-02-22

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Package RcppBlaze updated to version 0.1.1 with previous version 0.1.0 dated 2017-02-20

Title: 'Rcpp' Integration for the 'Blaze' High-Performance C++ Math Library
Description: 'Blaze' is an open-source, high-performance C++ math library for dense and sparse arithmetic. With its state-of-the-art Smart Expression Template implementation 'Blaze' combines the elegance and ease of use of a domain-specific language with 'HPC'-grade performance, making it one of the most intuitive and fastest C++ math libraries available. The 'Blaze' library offers: - high performance through the integration of 'BLAS' libraries and manually tuned 'HPC' math kernels - vectorization by 'SSE', 'SSE2', 'SSE3', 'SSSE3', 'SSE4', 'AVX', 'AVX2', 'AVX-512', 'FMA', and 'SVML' - parallel execution by 'OpenMP', C++11 threads and 'Boost' threads ('Boost' threads are disabled in 'RcppBlaze') - the intuitive and easy to use API of a domain specific language - unified arithmetic with dense and sparse vectors and matrices - thoroughly tested matrix and vector arithmetic - completely portable, high quality C++ source code The 'RcppBlaze' package includes the header files from the 'Blaze' library with disabling some functionalities related to link to the thread and system libraries which make 'RcppBlaze' be a header-only library. Therefore, users do not need to install 'Blaze and' the dependency 'Boost'. 'Blaze' is licensed under the New (Revised) BSD license, while 'RcppBlaze' (the 'Rcpp' bindings/bridge to 'Blaze') is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that since 'Blaze' has committed to C++14 commit to C++14 which does not used by most R users from version 3.0, we will use the version 2.6 of 'Blaze' which is C++98 compatible to support the most compilers and system.
Author: Ching-Chuan Chen, Klaus Iglberger, Georg Hager, Christian Godenschwager, Tobias Scharpff
Maintainer: Ching-Chuan Chen <zw12356@gmail.com>

Diff between RcppBlaze versions 0.1.0 dated 2017-02-20 and 0.1.1 dated 2017-02-22

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Package MatchIt updated to version 2.4-22 with previous version 2.4-21 dated 2013-06-27

Title: Nonparametric Preprocessing for Parametric Casual Inference
Description: Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>.
Author: Daniel Ho <daniel.e.ho@gmail.com>, Kosuke Imai <kimai@Princeton.Edu>, Gary King <king@harvard.edu>, Elizabeth Stuart <stuart@stat.harvard.edu>
Maintainer: Kosuke Imai <kimai@Princeton.Edu>

Diff between MatchIt versions 2.4-21 dated 2013-06-27 and 2.4-22 dated 2017-02-22

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Package idendr0 updated to version 1.5.3 with previous version 1.5.2 dated 2015-10-16

Title: Interactive Dendrograms
Description: Interactive dendrogram that enables the user to select and color clusters, to zoom and pan the dendrogram, and to visualize the clustered data not only in a built-in heat map, but also in 'GGobi' interactive plots and user-supplied plots. This is a backport of Qt-based 'idendro' (<https://github.com/tsieger/idendro>) to base R graphics and Tcl/Tk GUI.
Author: Tomas Sieger
Maintainer: Tomas Sieger <tomas.sieger@seznam.cz>

Diff between idendr0 versions 1.5.2 dated 2015-10-16 and 1.5.3 dated 2017-02-22

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Package RMixpanel updated to version 0.6-2 with previous version 0.6-1 dated 2017-01-20

Title: API for Mixpanel
Description: Provides an interface to many endpoints of Mixpanel's Data Export, Engage and JQL API. The R functions allow for event and profile data export as well as for segmentation, retention, funnel and addiction analysis. Results are always parsed into convenient R objects. Furthermore it is possible to load and update profiles.
Author: Meinhard Ploner [aut, cre, cph], ProSiebenSat.1 Digital GmbH [cph], BCG Digital Ventures GmbH [cph]
Maintainer: Meinhard Ploner <meinhard.ploner@gmail.com>

Diff between RMixpanel versions 0.6-1 dated 2017-01-20 and 0.6-2 dated 2017-02-22

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New package geosapi with initial version 0.1-0
Package: geosapi
Type: Package
Title: GeoServer REST API R Interface
Version: 0.1-0
Date: 2017-02-21
Author: Emmanuel Blondel <emmanuel.blondel1@gmail.com>
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>
Description: Provides an R interface to the GeoServer REST API, allowing to upload and publish data in a GeoServer web-application and expose data to OGC Web-Services. The package currently supports all CRUD (Create,Read,Update,Delete) operations on GeoServer workspaces, namespaces, datastores (stores of vector data), featuretypes, layers, styles, as well as vector data upload operations. For more information about the GeoServer REST API, see <http://docs.geoserver.org/stable/en/user/rest/>.
Depends: R (>= 3.1.0)
Imports: R6, openssl, httr, XML
Suggests: testthat, roxygen2
License: MIT + file LICENSE
URL: https://github.com/eblondel/geosapi/wiki, http://geoserver.org/
BugReports: https://github.com/eblondel/geosapi/issues
LazyLoad: yes
NeedsCompilation: no
Packaged: 2017-02-22 10:08:33 UTC; Emmanuel
Repository: CRAN
Date/Publication: 2017-02-22 11:40:02

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Package pcalg updated to version 2.4-5 with previous version 2.4-3 dated 2016-09-28

Title: Methods for Graphical Models and Causal Inference
Description: Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational data without hidden variables), FCI and RFCI (for observational data with hidden variables), and GIES (for a mix of data from observational studies (i.e. observational data) and data from experiments involving interventions (i.e. interventional data) without hidden variables). For causal inference the IDA algorithm, the Generalized Backdoor Criterion (GBC) and the Generalized Adjustment Criterion (GAC) are implemented.
Author: Markus Kalisch [aut, cre], Alain Hauser [aut], Martin Maechler [aut], Diego Colombo [ctb], Doris Entner [ctb], Patrik Hoyer [ctb], Antti Hyttinen [ctb], Jonas Peters [ctb], Nicoletta Andri [ctb], Emilija Perkovic [ctb], Preetam Nandy [ctb], Philipp Ruetimann [ctb], Daniel Stekhoven [ctb], Manuel Schuerch [ctb]
Maintainer: Markus Kalisch <kalisch@stat.math.ethz.ch>

Diff between pcalg versions 2.4-3 dated 2016-09-28 and 2.4-5 dated 2017-02-22

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New package CATT with initial version 1.0
Package: CATT
Type: Package
Title: The Cochran-Armitage Trend Test
Version: 1.0
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Description: The Cochran-Armitage trend test can be applied to a two by k contingency table. The test statistic (Z) and p-value will be reported. A linear trend in the frequencies will be calculated, because the weights (0,1,2) will be used by default.
License: GPL-3
Depends: R (>= 3.3.2)
Imports: stats
LazyData: TRUE
NeedsCompilation: no
Packaged: 2017-02-22 07:53:04 UTC; dzc
Repository: CRAN
Date/Publication: 2017-02-22 09:57:26

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Package textshape updated to version 1.0.2 with previous version 1.0.1 dated 2017-01-20

Title: Tools for Reshaping Text
Description: Tools that can be used to reshape and restructure text data.
Author: Tyler Rinker [aut, cre], Joran Elias [ctb], Matthew Flickinger [ctb]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

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Package textclean updated to version 0.3.1 with previous version 0.3.0 dated 2017-01-22

Title: Text Cleaning Tools
Description: Tools to clean and process text. Tools are geared at checking for substrings that are not optimal for analysis and replacing or removing them with more analysis friendly substrings. For example, emoticons are often used in text but not always easily handled by analysis algorithms. The 'replace_emoticon' function replaces emoticons with word equivalents.
Author: Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between textclean versions 0.3.0 dated 2017-01-22 and 0.3.1 dated 2017-02-22

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Package spatstat.utils updated to version 1.3-2 with previous version 1.2-8 dated 2017-02-16

Title: Experimental Subset of 'spatstat' Utilities
Description: This is an experimental package containing a subset of 'spatstat'.
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.utils versions 1.2-8 dated 2017-02-16 and 1.3-2 dated 2017-02-22

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Package SIBER updated to version 2.1.0 with previous version 2.0.3 dated 2016-08-03

Title: Stable Isotope Bayesian Ellipses in R
Description: Fits bi-variate ellipses to stable isotope data using Bayesian inference with the aim being to describe and compare their isotopic niche.
Author: Andrew Jackson and Andrew Parnell
Maintainer: Andrew Jackson <a.jackson@tcd.ie>

Diff between SIBER versions 2.0.3 dated 2016-08-03 and 2.1.0 dated 2017-02-22

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New package restriktor with initial version 0.1-55
Package: restriktor
Title: Restricted Statistical Estimation and Inference for Linear Models
Version: 0.1-55
Authors@R: c(person(given = "Leonard", family = "Vanbrabant", role = c("aut","cre"), email = "Leonard.Vanbrabant@Ugent.be") )
Description: Allow for easy-to-use testing of linear equality and inequality restrictions about parameters and effects in linear, robust linear and generalized linear statistical models.
Depends: R(>= 3.0.0)
Imports: boot, ic.infer, lavaan, MASS, mvtnorm, quadprog
License: GPL (>= 2)
LazyData: yes
URL: http://restriktor.org
NeedsCompilation: no
Packaged: 2017-02-21 21:23:50 UTC; leonardv
Author: Leonard Vanbrabant [aut, cre]
Maintainer: Leonard Vanbrabant <Leonard.Vanbrabant@Ugent.be>
Suggests:
Repository: CRAN
Date/Publication: 2017-02-22 08:42:34

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Package R2OpenBUGS updated to version 3.2-3.2 with previous version 3.2-3.1 dated 2015-04-07

Title: Running OpenBUGS from R
Description: Using this package, it is possible to call a BUGS model, summarize inferences and convergence in a table and graph, and save the simulations in arrays for easy access in R.
Author: originally written as R2WinBUGS by Andrew Gelman <gelman@stat.columbia.edu>; changes and packaged by Sibylle Sturtz <sturtz@statistik.tu-dortmund.de> and Uwe Ligges <ligges@statistik.tu-dortmund.de>. With considerable contributions by Gregor Gorjanc <gregor.gorjanc@bfro.uni-lj.si> and Jouni Kerman <kerman@stat.columbia.edu>. Adapted to R2OpenBUGS from R2WinBUGS by Neal Thomas.
Maintainer: Neal Thomas <snthomas99@gmail.com>

Diff between R2OpenBUGS versions 3.2-3.1 dated 2015-04-07 and 3.2-3.2 dated 2017-02-22

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New package harrietr with initial version 0.2.2
Package: harrietr
Type: Package
Title: Wrangle Phylogenetic Distance Matrices and Other Utilities
Version: 0.2.2
Authors@R: person("Anders", "Gonçalves da Silva", email = "andersgs@gmail.com", role = c("aut", "cre"))
Description: Harriet was Charles Darwin's pet tortoise (possibly). 'harritr' implements some function to manipulate distance matrices and phylogenetic trees to make it easier to plot with 'ggplot2' and to manipulate using 'tidyverse' tools.
Depends: R (>= 3.3.0)
License: GPL-3 | file LICENSE
URL: https://github.com/andersgs/harrietr
BugReports: https://github.com/andersgs/harrietr/issues
Encoding: UTF-8
LazyData: true
Imports: ape (>= 3.5), ggtree (>= 1.6.9), ggplot2 (>= 2.1.0), magrittr (>= 1.5), lazyeval (>= 0.2.0), dplyr (>= 0.5.0), tidyr (>= 0.6.0)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-22 04:41:15 UTC; andersg
Author: Anders Gonçalves da Silva [aut, cre]
Maintainer: Anders Gonçalves da Silva <andersgs@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-22 08:42:32

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Package h2o updated to version 3.10.3.6 with previous version 3.10.3.3 dated 2017-02-03

Title: R Interface for H2O
Description: R scripting functionality for H2O, the open source math engine for big data that computes parallel distributed machine learning algorithms such as generalized linear models, gradient boosting machines, random forests, and neural networks (deep learning) within various cluster environments.
Author: The H2O.ai team
Maintainer: Tom Kraljevic <tomk@0xdata.com>

Diff between h2o versions 3.10.3.3 dated 2017-02-03 and 3.10.3.6 dated 2017-02-22

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Package gdpc updated to version 1.0.2 with previous version 1.0.1 dated 2017-01-19

Title: Generalized Dynamic Principal Components
Description: Functions to compute the Generalized Dynamic Principal Components introduced in Peña and Yohai (2016) <DOI:10.1080/01621459.2015.1072542>.
Author: Daniel Peña <daniel.pena@uc3m.es>, Ezequiel Smucler <ezequiels.90@gmail.com>, Victor Yohai <vyohai@dm.uba.ar>
Maintainer: Ezequiel Smucler <ezequiels.90@gmail.com>

Diff between gdpc versions 1.0.1 dated 2017-01-19 and 1.0.2 dated 2017-02-22

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Package choroplethrAdmin1 updated to version 1.1.1 with previous version 1.1.0 dated 2015-12-30

Title: Contains an Administrative-Level-1 Map of the World
Description: Contains an administrative-level-1 map of the world. Administrative-level-1 is the generic term for the largest sub-national subdivision of a country. This package was created for use with the choroplethr package.
Author: Ari Lamstein <ari@lamsteinconsulting.com>
Maintainer: Ari Lamstein <ari@lamsteinconsulting.com>

Diff between choroplethrAdmin1 versions 1.1.0 dated 2015-12-30 and 1.1.1 dated 2017-02-22

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New package BCC1997 with initial version 0.1.1
Package: BCC1997
Type: Package
Title: Calculation of Option Prices Based on a Universal Solution
Version: 0.1.1
Author: Haoran Zhang
Maintainer: Haoran Zhang <hzz0017@auburn.edu>
Description: Calculates the prices of European options based on the universal solution provided by Bakshi, Cao and Chen (1997) <doi:10.1111/j.1540-6261.1997.tb02749.x>. This solution considers stochastic volatility, stochastic interest and random jumps. Please cite their work if this package is used.
Depends: R (>= 3.1.0)
Imports: stats
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-02-21 22:38:36 UTC; hzz0017
Repository: CRAN
Date/Publication: 2017-02-22 08:42:11

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New package BayesSpec with initial version 0.5.3
Package: BayesSpec
Type: Package
Title: Bayesian Spectral Analysis Techniques
Version: 0.5.3
Author: Rosen, O., Wood, S. and Stoffer, D.
Maintainer: Andrew Ferris <andrew.ferris@sydney.edu.au>
Description: An implementation of methods for spectral analysis using the Bayesian framework. It includes functions for modelling spectrum as well as appropriate plotting and output estimates. There is segmentation capability with RJ MCMC (Reversible Jump Markov Chain Monte Carlo). The package takes these methods predominantly from the 2012 paper "AdaptSPEC: Adaptive Spectral Estimation for Nonstationary Time Series" <DOI:10.1080/01621459.2012.716340>.
Imports: mvtnorm (>= 1.0-5), pscl (>= 1.4.9), trust (>= 0.1-7)
License: GPL-3
LazyLoad: TRUE
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-21 23:06:27 UTC; andrewferris
Repository: CRAN
Date/Publication: 2017-02-22 08:42:14

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New package bamlss with initial version 0.1-1
Package: bamlss
Version: 0.1-1
Date: 2017-02-21
Title: Bayesian Additive Models for Location Scale and Shape (and Beyond)
Authors@R: c(person(given = "Nikolaus", family = "Umlauf", role = c("aut", "cre"), email = "Nikolaus.Umlauf@uibk.ac.at"), person(given = "Nadja", family = "Klein", role = "aut", email = "nklein@uni-goettingen.de"), person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"), person(given = "Meike", family = "Koehler", role = "aut", email = "Meike.Koehler@helmholtz-muenchen.de"))
Description: R infrastructures for Bayesian regression models.
Depends: R (>= 3.2.3), coda, colorspace, mgcv
Imports: Formula, MBA, mvtnorm, sp, spam, Matrix, survival, methods, parallel
Suggests: akima, bit, fields, gamlss, geoR, rjags, BayesX, BayesXsrc, mapdata, maps, maptools, raster, spatstat, spdep, zoo
License: GPL-2 | GPL-3
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2017-02-21 14:08:05 UTC; nik
Author: Nikolaus Umlauf [aut, cre], Nadja Klein [aut], Achim Zeileis [aut], Meike Koehler [aut]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf@uibk.ac.at>
Repository: CRAN
Date/Publication: 2017-02-22 08:48:03

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Package bnpa (with last version 0.2.0) was removed from CRAN

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

2017-01-13 0.2.0

Permanent link

Tue, 21 Feb 2017

Package WARN updated to version 1.2-2 with previous version 1.2-1 dated 2016-06-26

Title: Weaning Age Reconstruction with Nitrogen Isotope Analysis
Description: This estimates precise weaning ages for a given skeletal population by analyzing the stable nitrogen isotope ratios of them. Bone collagen turnover rates estimated anew and the approximate Bayesian computation (ABC) were adopted in this package.
Author: Takumi Tsutaya
Maintainer: Takumi Tsutaya <tsutayatakumi@gmail.com>

Diff between WARN versions 1.2-1 dated 2016-06-26 and 1.2-2 dated 2017-02-21

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Package tcgsaseq updated to version 1.4.1 with previous version 1.3.1 dated 2016-11-24

Title: Time-Course Gene Set Analysis for RNA-Seq Data
Description: Gene set analysis of longitudinal RNA-seq data with variance component score test accounting for data heteroscedasticity through precision weights. Method is detailed in: Agniel D, Hejblum BP (2016) Variance component score test for time-course gene set analysis of longitudinal RNA-seq data <arXiv:1605.02351>.
Author: Denis Agniel [aut], Boris P. Hejblum [aut, cre]
Maintainer: Boris P. Hejblum <boris.hejblum@u-bordeaux.fr>

Diff between tcgsaseq versions 1.3.1 dated 2016-11-24 and 1.4.1 dated 2017-02-21

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Package mbbefd updated to version 0.8.8 with previous version 0.8.7 dated 2016-12-30

Title: Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling
Description: Distributions that are typically used for exposure rating in general insurance, in particular to price reinsurance contracts. The vignettes show code snippets to fit the distribution to empirical data.
Author: Giorgio Spedicato [aut, cre], Christophe Dutang [aut], Markus Gesmann [ctb]
Maintainer: Giorgio Spedicato <spedicato_giorgio@yahoo.it>

Diff between mbbefd versions 0.8.7 dated 2016-12-30 and 0.8.8 dated 2017-02-21

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 NAMESPACE                           |    2 +-
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Package copCAR updated to version 2.0-1 with previous version 2.0 dated 2017-02-16

Title: Fitting the copCAR Regression Model for Discrete Areal Data
Description: Provides tools for fitting the copCAR (Hughes, 2015) <DOI:10.1080/10618600.2014.948178> regression model for discrete areal data. Three types of estimation are supported (continuous extension, composite marginal likelihood, and distributional transform), for three types of outcomes (Bernoulli, negative binomial, and Poisson).
Author: Emily Goren <emily.goren@gmail.com> and John Hughes <jphughesjr@gmail.com>
Maintainer: John Hughes <jphughesjr@gmail.com>

Diff between copCAR versions 2.0 dated 2017-02-16 and 2.0-1 dated 2017-02-21

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Permanent link

Package leaflet updated to version 1.1.0 with previous version 1.0.1 dated 2016-02-27

Title: Create Interactive Web Maps with the JavaScript 'Leaflet' Library
Description: Create and customize interactive maps using the 'Leaflet' JavaScript library and the 'htmlwidgets' package. These maps can be used directly from the R console, from 'RStudio', in Shiny apps and R Markdown documents.
Author: Joe Cheng [aut, cre], Bhaskar Karambelkar [aut], Yihui Xie [aut], Hadley Wickham [ctb], Kenton Russell [ctb], Kent Johnson [ctb], jQuery Foundation and contributors [ctb, cph] (jQuery library), Vladimir Agafonkin [ctb, cph] (Leaflet library), CloudMade [cph] (Leaflet library), Leaflet contributors [ctb] (Leaflet library), Leaflet Providers contributors [ctb, cph] (Leaflet Providers plugin), Brandon Copeland [ctb, cph] (leaflet-measure plugin), Jacob Toye [ctb, cph] (Leaflet.label plugin), Joerg Dietrich [ctb, cph] (Leaflet.Terminator plugin), Benjamin Becquet [ctb, cph] (Leaflet.MagnifyingGlass plugin), Norkart AS [ctb, cph] (Leaflet.MiniMap plugin), L. Voogdt [ctb, cph] (Leaflet.awesome-markers plugin), Daniel Montague [ctb, cph] (Leaflet.EasyButton plugin), Kartena AB [ctb, cph] (Proj4Leaflet plugin), Robert Kajic [ctb, cph] (leaflet-locationfilter plugin), Mapbox [ctb, cph] (leaflet-omnivore plugin), Michael Bostock [ctb, cph] (topojson), RStudio [cph]
Maintainer: Joe Cheng <joe@rstudio.com>

Diff between leaflet versions 1.0.1 dated 2016-02-27 and 1.1.0 dated 2017-02-21

 leaflet-1.0.1/leaflet/LICENSE                                                                                  |only
 leaflet-1.0.1/leaflet/tests/testit/test-normalize.R                                                            |only
 leaflet-1.1.0/leaflet/DESCRIPTION                                                                              |   55 
 leaflet-1.1.0/leaflet/LICENSE.note                                                                             |only
 leaflet-1.1.0/leaflet/MD5                                                                                      |  245 
 leaflet-1.1.0/leaflet/NAMESPACE                                                                                |   80 
 leaflet-1.1.0/leaflet/NEWS                                                                                     |   82 
 leaflet-1.1.0/leaflet/R/colors.R                                                                               |  138 
 leaflet-1.1.0/leaflet/R/controls.R                                                                             |    6 
 leaflet-1.1.0/leaflet/R/data.R                                                                                 |   33 
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 leaflet-1.1.0/leaflet/R/leaflet.R                                                                              |  157 
 leaflet-1.1.0/leaflet/R/legacy.R                                                                               |    4 
 leaflet-1.1.0/leaflet/R/legend.R                                                                               |    6 
 leaflet-1.1.0/leaflet/R/methods.R                                                                              |    9 
 leaflet-1.1.0/leaflet/R/normalize-SharedData.R                                                                 |only
 leaflet-1.1.0/leaflet/R/normalize-map.R                                                                        |only
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 leaflet-1.1.0/leaflet/R/package.R                                                                              |    4 
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 leaflet-1.1.0/leaflet/R/plugin-easybutton.R                                                                    |only
 leaflet-1.1.0/leaflet/R/plugin-graticule.R                                                                     |only
 leaflet-1.1.0/leaflet/R/plugin-measure.R                                                                       |only
 leaflet-1.1.0/leaflet/R/plugin-minimap.R                                                                       |only
 leaflet-1.1.0/leaflet/R/plugin-omnivore.R                                                                      |   16 
 leaflet-1.1.0/leaflet/R/plugin-providers.R                                                                     |   18 
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 leaflet-1.1.0/leaflet/R/plugin-terminator.R                                                                    |only
 leaflet-1.1.0/leaflet/R/scalebar.R                                                                             |only
 leaflet-1.1.0/leaflet/R/selection.R                                                                            |only
 leaflet-1.1.0/leaflet/R/shiny.R                                                                                |    4 
 leaflet-1.1.0/leaflet/R/utils.R                                                                                |   78 
 leaflet-1.1.0/leaflet/README.md                                                                                |   23 
 leaflet-1.1.0/leaflet/data                                                                                     |only
 leaflet-1.1.0/leaflet/inst/htmlwidgets/leaflet.js                                                              | 3363 ++++++----
 leaflet-1.1.0/leaflet/inst/htmlwidgets/leaflet.yaml                                                            |   15 
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 leaflet-1.1.0/leaflet/inst/htmlwidgets/lib/leaflet/leaflet.css                                                 |    3 
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 leaflet-1.1.0/leaflet/man/addGraticule.Rd                                                                      |only
 leaflet-1.1.0/leaflet/man/addLayersControl.Rd                                                                  |   27 
 leaflet-1.1.0/leaflet/man/addLegend.Rd                                                                         |   14 
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 leaflet-1.1.0/leaflet/man/addProviderTiles.Rd                                                                  |   18 
 leaflet-1.1.0/leaflet/man/addRasterImage.Rd                                                                    |   14 
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 leaflet-1.1.0/leaflet/man/addTerminator.Rd                                                                     |only
 leaflet-1.1.0/leaflet/man/atlStorms2005.Rd                                                                     |only
 leaflet-1.1.0/leaflet/man/awesomeIconList.Rd                                                                   |only
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 leaflet-1.1.0/leaflet/man/breweries91.Rd                                                                       |only
 leaflet-1.1.0/leaflet/man/colorNumeric.Rd                                                                      |   29 
 leaflet-1.1.0/leaflet/man/deprecated.Rd                                                                        |    2 
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 leaflet-1.1.0/leaflet/man/derivePolygons.Rd                                                                    |only
 leaflet-1.1.0/leaflet/man/dispatch.Rd                                                                          |    9 
 leaflet-1.1.0/leaflet/man/easyButton.Rd                                                                        |only
 leaflet-1.1.0/leaflet/man/evalFormula.Rd                                                                       |only
 leaflet-1.1.0/leaflet/man/expandLimits.Rd                                                                      |only
 leaflet-1.1.0/leaflet/man/expandLimitsBbox.Rd                                                                  |only
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 leaflet-1.1.0/leaflet/man/gadmCHE.Rd                                                                           |only
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 leaflet-1.1.0/leaflet/man/iconList.Rd                                                                          |   11 
 leaflet-1.1.0/leaflet/man/icons.Rd                                                                             |   11 
 leaflet-1.1.0/leaflet/man/leaflet.Rd                                                                           |   78 
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 leaflet-1.1.0/leaflet/man/leafletProxy.Rd                                                                      |   39 
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 leaflet-1.1.0/leaflet/man/makeIcon.Rd                                                                          |   11 
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 leaflet-1.1.0/leaflet/man/map-methods.Rd                                                                       |    2 
 leaflet-1.1.0/leaflet/man/map-options.Rd                                                                       |   74 
 leaflet-1.1.0/leaflet/man/map-shiny.Rd                                                                         |    5 
 leaflet-1.1.0/leaflet/man/mapOptions.Rd                                                                        |   18 
 leaflet-1.1.0/leaflet/man/previewColors.Rd                                                                     |    2 
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 leaflet-1.1.0/leaflet/man/providers.details.Rd                                                                 |only
 leaflet-1.1.0/leaflet/man/remove.Rd                                                                            |   13 
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 leaflet-1.1.0/leaflet/man/showGroup.Rd                                                                         |    2 
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 leaflet-1.1.0/leaflet/tests/testit/test-legend.R                                                               |    6 
 leaflet-1.1.0/leaflet/tests/testit/test-measure.R                                                              |only
 leaflet-1.1.0/leaflet/tests/testit/test-remote.R                                                               |   12 
 leaflet-1.1.0/leaflet/tests/testthat                                                                           |only
 leaflet-1.1.0/leaflet/tests/testthat.R                                                                         |only
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Package ApacheLogProcessor updated to version 0.2.0 with previous version 0.1.6 dated 2016-08-16

Title: Process the Apache Web Server Log Files
Description: Provides capabilities to process Apache HTTPD Log files.The main functionalities are to extract data from access and error log files to data frames.
Author: Diogo Silveira Mendonca
Maintainer: Diogo Silveira Mendonca <diogosmendonca@gmail.com>

Diff between ApacheLogProcessor versions 0.1.6 dated 2016-08-16 and 0.2.0 dated 2017-02-21

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Package rmdformats updated to version 0.3.1 with previous version 0.3 dated 2016-09-05

Title: HTML Output Formats and Templates for 'rmarkdown' Documents
Description: HTML formats and templates for 'rmarkdown' documents, with some extra features such as automatic table of contents, lightboxed figures, dynamic crosstab helper.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@ens-lyon.fr>

Diff between rmdformats versions 0.3 dated 2016-09-05 and 0.3.1 dated 2017-02-21

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Package eurostat updated to version 2.2.43 with previous version 2.2.1 dated 2016-09-14

Title: Tools for Eurostat Open Data
Description: Tools to download data from the Eurostat database <http://ec.europa.eu/eurostat> together with search and manipulation utilities.
Author: Leo Lahti [aut, cre], Przemyslaw Biecek [aut], Markus Kainu [aut], Janne Huovari [aut], Joona Lehtomaki [ctb], Francois Briatte [ctb], Oliver Reiter [ctb]
Maintainer: Leo Lahti <louhos@googlegroups.com>

Diff between eurostat versions 2.2.1 dated 2016-09-14 and 2.2.43 dated 2017-02-21

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Permanent link

Package csv updated to version 0.4 with previous version 0.3 dated 2017-02-18

Title: Read and Write CSV Files with Selected Conventions
Description: Reads and writes CSV with selected conventions. Uses the same generic function for reading and writing to promote consistent formats.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between csv versions 0.3 dated 2017-02-18 and 0.4 dated 2017-02-21

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Package RSNPset updated to version 0.5.2 with previous version 0.5 dated 2015-11-20

Title: Efficient Score Statistics for Genome-Wide SNP Set Analysis
Description: An implementation of the use of efficient score statistics in genome-wide SNP set analysis with complex traits. Three standard score statistics (Cox, binomial, and Gaussian) are provided, but the package is easily extensible to include others. Code implementing the inferential procedure is primarily written in C++ and utilizes parallelization of the analysis to reduce runtime. A supporting function offers simple computation of observed, permutation, and FWER and FDR adjusted p-values.
Author: Chanhee Yi, Alexander Sibley, and Kouros Owzar
Maintainer: Alexander Sibley <alexander.sibley@dm.duke.edu>

Diff between RSNPset versions 0.5 dated 2015-11-20 and 0.5.2 dated 2017-02-21

 DESCRIPTION                   |    8 ++++----
 MD5                           |   25 +++++++++++++------------
 NEWS                          |    9 +++++++++
 R/rsnpset.R                   |    6 ++----
 R/rsnpset.pvalue.R            |   23 ++++++++++-------------
 build/vignette.rds            |binary
 inst/doc/RSNPset.R            |    4 +++-
 inst/doc/RSNPset.Rnw          |    6 ++++--
 inst/doc/RSNPset.pdf          |binary
 man/RSNPset-package.Rd        |    4 ++--
 man/rsnpset.pvalue.Rd         |    6 +++---
 man/summary.RSNPset.pvalue.Rd |    2 +-
 src/init.c                    |only
 vignettes/RSNPset.Rnw         |    6 ++++--
 14 files changed, 55 insertions(+), 44 deletions(-)

More information about RSNPset at CRAN
Permanent link

Package miceadds updated to version 2.3-0 with previous version 2.2-0 dated 2017-01-11

Title: Some Additional Multiple Imputation Functions, Especially for 'mice'
Description: Contains some auxiliary functions for multiple imputation which complements existing functionality in R. In addition to some utility functions, main features include plausible value imputation, multilevel imputation functions, imputation using partial least squares (PLS) for high dimensional predictors, nested multiple imputation.
Author: Alexander Robitzsch [aut, cre], Simon Grund [aut], Thorsten Henke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between miceadds versions 2.2-0 dated 2017-01-11 and 2.3-0 dated 2017-02-21

 miceadds-2.2-0/miceadds/src/kernelpls_algorithm.h                            |only
 miceadds-2.3-0/miceadds/DESCRIPTION                                          |    8 
 miceadds-2.3-0/miceadds/MD5                                                  |  422 +++++-----
 miceadds-2.3-0/miceadds/R/ANSI_create_table.R                                |only
 miceadds-2.3-0/miceadds/R/ANSI_extend_table.R                                |only
 miceadds-2.3-0/miceadds/R/ANSI_fomat_latex_table.R                           |only
 miceadds-2.3-0/miceadds/R/ANSI_matrix_include_cols.R                         |only
 miceadds-2.3-0/miceadds/R/ANSI_matrix_include_rows.R                         |only
 miceadds-2.3-0/miceadds/R/GroupMean.R                                        |   22 
 miceadds-2.3-0/miceadds/R/GroupSD.R                                          |    8 
 miceadds-2.3-0/miceadds/R/GroupSum.R                                         |   18 
 miceadds-2.3-0/miceadds/R/List2nestedList.R                                  |   12 
 miceadds-2.3-0/miceadds/R/MIcombine.NestedImputationResultList.R             |    2 
 miceadds-2.3-0/miceadds/R/MIwaldtest.R                                       |    2 
 miceadds-2.3-0/miceadds/R/NMIcombine.R                                       |    2 
 miceadds-2.3-0/miceadds/R/NMIextract.R                                       |    2 
 miceadds-2.3-0/miceadds/R/NMIwaldtest.R                                      |    2 
 miceadds-2.3-0/miceadds/R/NestedImputationList.R                             |    2 
 miceadds-2.3-0/miceadds/R/RcppExports.R                                      |only
 miceadds-2.3-0/miceadds/R/Rhat1.R                                            |    2 
 miceadds-2.3-0/miceadds/R/Rsessinfo.R                                        |    2 
 miceadds-2.3-0/miceadds/R/VariableNames2String.R                             |    2 
 miceadds-2.3-0/miceadds/R/antilogit.R                                        |    4 
 miceadds-2.3-0/miceadds/R/complete.miceadds.R                                |    4 
 miceadds-2.3-0/miceadds/R/cor2fisher.R                                       |    6 
 miceadds-2.3-0/miceadds/R/cor_avoid_zero.R                                   |    4 
 miceadds-2.3-0/miceadds/R/covTest.R                                          |   20 
 miceadds-2.3-0/miceadds/R/create.designMatrices.waldtest.R                   |   14 
 miceadds-2.3-0/miceadds/R/crlem.R                                            |   18 
 miceadds-2.3-0/miceadds/R/crlrem.R                                           |only
 miceadds-2.3-0/miceadds/R/cxxfunction.copy.R                                 |   16 
 miceadds-2.3-0/miceadds/R/datalist2mids.R                                    |   50 -
 miceadds-2.3-0/miceadds/R/datlist_create.R                                   |   28 
 miceadds-2.3-0/miceadds/R/draw.pv.ctt.R                                      |   70 -
 miceadds-2.3-0/miceadds/R/fast.groupmean.R                                   |    4 
 miceadds-2.3-0/miceadds/R/fast.groupsum.R                                    |    4 
 miceadds-2.3-0/miceadds/R/file_path.R                                        |    8 
 miceadds-2.3-0/miceadds/R/filename_split.R                                   |   22 
 miceadds-2.3-0/miceadds/R/files_move.R                                       |   30 
 miceadds-2.3-0/miceadds/R/fisher2cor.R                                       |    6 
 miceadds-2.3-0/miceadds/R/glm.cluster.R                                      |   20 
 miceadds-2.3-0/miceadds/R/grep.vec.R                                         |    2 
 miceadds-2.3-0/miceadds/R/include.2l.predictors_v1.R                         |   26 
 miceadds-2.3-0/miceadds/R/index.dataframe.R                                  |    2 
 miceadds-2.3-0/miceadds/R/jomo2datlist.R                                     |    8 
 miceadds-2.3-0/miceadds/R/kernelpls.fit2.R                                   |   82 -
 miceadds-2.3-0/miceadds/R/library_install.R                                  |   10 
 miceadds-2.3-0/miceadds/R/lm.cluster.R                                       |   22 
 miceadds-2.3-0/miceadds/R/load.Rdata.R                                       |    2 
 miceadds-2.3-0/miceadds/R/load.data.R                                        |   14 
 miceadds-2.3-0/miceadds/R/ma.scale2.R                                        |   12 
 miceadds-2.3-0/miceadds/R/ma.wtd.aux.data.R                                  |   46 -
 miceadds-2.3-0/miceadds/R/ma.wtd.corNA.R                                     |    2 
 miceadds-2.3-0/miceadds/R/ma.wtd.covNA.R                                     |    2 
 miceadds-2.3-0/miceadds/R/ma.wtd.curtosisNA.R                                |    2 
 miceadds-2.3-0/miceadds/R/ma.wtd.quantileNA.R                                |    2 
 miceadds-2.3-0/miceadds/R/ma.wtd.skewnessNA.R                                |    2 
 miceadds-2.3-0/miceadds/R/max0.R                                             |    6 
 miceadds-2.3-0/miceadds/R/mean0.R                                            |    6 
 miceadds-2.3-0/miceadds/R/mi.anova.R                                         |    2 
 miceadds-2.3-0/miceadds/R/mi_dstat.R                                         |   26 
 miceadds-2.3-0/miceadds/R/mice.1chain.R                                      |   80 -
 miceadds-2.3-0/miceadds/R/mice.impute.2l.binary.R                            |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.contextual.norm.R                   |   32 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.contextual.pmm.R                    |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.continuous.R                        |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.eap.R                               |    2 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.groupmean.R                         |   18 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.groupmean.elim.R                    |   18 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.latentgroupmean.ML.R                |   34 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.lmer.R                              |   52 -
 miceadds-2.3-0/miceadds/R/mice.impute.2l.plausible.values.R                  |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.pls.R                               |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.pls2.R                              |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.pmm.R                               |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2lonly.function.R                      |   34 
 miceadds-2.3-0/miceadds/R/mice.impute.2lonly.norm2.R                         |    2 
 miceadds-2.3-0/miceadds/R/mice.impute.2lonly.pmm2.R                          |   10 
 miceadds-2.3-0/miceadds/R/mice.impute.bygroup.R                              |   30 
 miceadds-2.3-0/miceadds/R/mice.impute.eap.R                                  |    6 
 miceadds-2.3-0/miceadds/R/mice.impute.grouped.R                              |   16 
 miceadds-2.3-0/miceadds/R/mice.impute.hotDeck.R                              |   32 
 miceadds-2.3-0/miceadds/R/mice.impute.norm3.R                                |    2 
 miceadds-2.3-0/miceadds/R/mice.impute.plausible.values.R                     |    8 
 miceadds-2.3-0/miceadds/R/mice.impute.pls.R                                  |   24 
 miceadds-2.3-0/miceadds/R/mice.impute.pmm3.R                                 |    2 
 miceadds-2.3-0/miceadds/R/mice.impute.pmm6.R                                 |    8 
 miceadds-2.3-0/miceadds/R/mice.impute.weighted.norm.R                        |    2 
 miceadds-2.3-0/miceadds/R/mice.nmi.R                                         |    2 
 miceadds-2.3-0/miceadds/R/mice_imputation_create_interactions.R              |   19 
 miceadds-2.3-0/miceadds/R/mice_imputation_extract_list_arguments.R           |    8 
 miceadds-2.3-0/miceadds/R/mice_imputation_get_states.R                       |   14 
 miceadds-2.3-0/miceadds/R/mice_imputation_include_cluster_effect.R           |   20 
 miceadds-2.3-0/miceadds/R/mice_imputation_multilevel_include_2l_predictors.R |   28 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_correlation_criteria.R         |    6 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_do_impute.R                    |   12 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_estimate_pls_regression.R      |   22 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_helper.R                       |   32 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_include_interactions.R         |   56 -
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_include_quadratics.R           |   24 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_largest_correlations.R         |   40 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_pca_reduction.R                |   16 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_print_progress1.R              |    2 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_print_progress2.R              |    2 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_scale_x.R                      |    2 
 miceadds-2.3-0/miceadds/R/mice_imputation_prepare_2l_functions.R             |   12 
 miceadds-2.3-0/miceadds/R/mice_imputation_weighted_norm_draw.R               |    2 
 miceadds-2.3-0/miceadds/R/mice_multilevel_add_groupmeans.R                   |    8 
 miceadds-2.3-0/miceadds/R/mice_multilevel_create_formula.R                   |    6 
 miceadds-2.3-0/miceadds/R/mice_multilevel_doCall_suppressWarnings.R          |   10 
 miceadds-2.3-0/miceadds/R/mice_multilevel_draw_binomial.R                    |    6 
 miceadds-2.3-0/miceadds/R/mice_multilevel_draw_rnorm1.R                      |   10 
 miceadds-2.3-0/miceadds/R/mice_multilevel_imputation_blme_args.R             |    8 
 miceadds-2.3-0/miceadds/R/mice_multilevel_imputation_draw_random_effects.R   |   16 
 miceadds-2.3-0/miceadds/R/mice_multilevel_imputation_draw_residuals.R        |    6 
 miceadds-2.3-0/miceadds/R/mice_multilevel_imputation_pmm5.R                  |   34 
 miceadds-2.3-0/miceadds/R/mice_multilevel_impute_groupmean.R                 |   18 
 miceadds-2.3-0/miceadds/R/micombine.chisquare.R                              |    4 
 miceadds-2.3-0/miceadds/R/mids2mlwin.R                                       |    6 
 miceadds-2.3-0/miceadds/R/min0.R                                             |    6 
 miceadds-2.3-0/miceadds/R/nested.datlist2datlist.R                           |    2 
 miceadds-2.3-0/miceadds/R/nested.datlist_create.R                            |    2 
 miceadds-2.3-0/miceadds/R/nestedList2List.R                                  |   12 
 miceadds-2.3-0/miceadds/R/nesteddatlist2datlist.R                            |    2 
 miceadds-2.3-0/miceadds/R/norm.draw3.R                                       |    2 
 miceadds-2.3-0/miceadds/R/normalize_vector.R                                 |    6 
 miceadds-2.3-0/miceadds/R/pca.covridge.R                                     |    8 
 miceadds-2.3-0/miceadds/R/pool.mi.R                                          |   64 -
 miceadds-2.3-0/miceadds/R/pool.mids.nmi.R                                    |   10 
 miceadds-2.3-0/miceadds/R/pool.nmi.scalar.helper.R                           |    8 
 miceadds-2.3-0/miceadds/R/predict.kernelfit.pls2.R                           |    2 
 miceadds-2.3-0/miceadds/R/prop_miss.R                                        |    8 
 miceadds-2.3-0/miceadds/R/quantile0.R                                        |    2 
 miceadds-2.3-0/miceadds/R/read.fwf2.R                                        |    4 
 miceadds-2.3-0/miceadds/R/remove.lindep_miceadds.R                           |    4 
 miceadds-2.3-0/miceadds/R/save.data.R                                        |   28 
 miceadds-2.3-0/miceadds/R/scale_datlist.R                                    |   42 
 miceadds-2.3-0/miceadds/R/scan0.R                                            |   10 
 miceadds-2.3-0/miceadds/R/sd0.R                                              |    4 
 miceadds-2.3-0/miceadds/R/source.all.R                                       |    6 
 miceadds-2.3-0/miceadds/R/stats0.R                                           |    8 
 miceadds-2.3-0/miceadds/R/str_C.expand.grid.R                                |    2 
 miceadds-2.3-0/miceadds/R/summary.mipo.nmi.R                                 |    2 
 miceadds-2.3-0/miceadds/R/summary.mira.nmi.R                                 |    2 
 miceadds-2.3-0/miceadds/R/sumpreserving.rounding.R                           |    2 
 miceadds-2.3-0/miceadds/R/systime.R                                          |    2 
 miceadds-2.3-0/miceadds/R/var0.R                                             |    4 
 miceadds-2.3-0/miceadds/R/vector2matrix.R                                    |    2 
 miceadds-2.3-0/miceadds/R/visitSequence.determine.R                          |    2 
 miceadds-2.3-0/miceadds/R/with.NestedImputationList.R                        |    2 
 miceadds-2.3-0/miceadds/R/with.datlist.R                                     |    2 
 miceadds-2.3-0/miceadds/R/with.nested.datlist.R                              |    2 
 miceadds-2.3-0/miceadds/R/withPool.R                                         |    2 
 miceadds-2.3-0/miceadds/R/within.NestedImputationList.R                      |    2 
 miceadds-2.3-0/miceadds/R/within.datlist.R                                   |    2 
 miceadds-2.3-0/miceadds/R/within.imputationList.R                            |    2 
 miceadds-2.3-0/miceadds/R/within.nested.datlist.R                            |    2 
 miceadds-2.3-0/miceadds/R/write.datlist.R                                    |    8 
 miceadds-2.3-0/miceadds/R/write.mice.imputation.R                            |   12 
 miceadds-2.3-0/miceadds/R/write.pspp.R                                       |    2 
 miceadds-2.3-0/miceadds/R/zzz.R                                              |    2 
 miceadds-2.3-0/miceadds/inst/NEWS                                            |   17 
 miceadds-2.3-0/miceadds/man/NMIwaldtest.Rd                                   |   30 
 miceadds-2.3-0/miceadds/man/NestedImputationList.Rd                          |    6 
 miceadds-2.3-0/miceadds/man/Rsessinfo.Rd                                     |    2 
 miceadds-2.3-0/miceadds/man/VariableNames2String.Rd                          |    2 
 miceadds-2.3-0/miceadds/man/complete.miceadds.Rd                             |   12 
 miceadds-2.3-0/miceadds/man/data.graham.Rd                                   |    2 
 miceadds-2.3-0/miceadds/man/datalist2mids.Rd                                 |    2 
 miceadds-2.3-0/miceadds/man/datlist_create.Rd                                |   32 
 miceadds-2.3-0/miceadds/man/draw.pv.ctt.Rd                                   |    6 
 miceadds-2.3-0/miceadds/man/jomo2datlist.Rd                                  |    2 
 miceadds-2.3-0/miceadds/man/kernelpls.fit2.Rd                                |    4 
 miceadds-2.3-0/miceadds/man/lm.cluster.Rd                                    |   10 
 miceadds-2.3-0/miceadds/man/load.Rdata.Rd                                    |    2 
 miceadds-2.3-0/miceadds/man/load.data.Rd                                     |    2 
 miceadds-2.3-0/miceadds/man/ma.scale2.Rd                                     |    6 
 miceadds-2.3-0/miceadds/man/ma.wtd.statNA.Rd                                 |   10 
 miceadds-2.3-0/miceadds/man/mi.anova.Rd                                      |    6 
 miceadds-2.3-0/miceadds/man/mi_dstat.Rd                                      |    2 
 miceadds-2.3-0/miceadds/man/mice.1chain.Rd                                   |    4 
 miceadds-2.3-0/miceadds/man/mice.impute.2lonly.function.Rd                   |  268 +++---
 miceadds-2.3-0/miceadds/man/mice.impute.bygroup.Rd                           |    2 
 miceadds-2.3-0/miceadds/man/mice.impute.eap.Rd                               |    4 
 miceadds-2.3-0/miceadds/man/mice.impute.plausible.values.Rd                  |    2 
 miceadds-2.3-0/miceadds/man/mice.impute.pls.Rd                               |    2 
 miceadds-2.3-0/miceadds/man/mice.impute.tricube.pmm.Rd                       |    2 
 miceadds-2.3-0/miceadds/man/mice.nmi.Rd                                      |    6 
 miceadds-2.3-0/miceadds/man/miceadds-defunct.Rd                              |  118 +-
 miceadds-2.3-0/miceadds/man/miceadds-package.Rd                              |   10 
 miceadds-2.3-0/miceadds/man/micombine.F.Rd                                   |    9 
 miceadds-2.3-0/miceadds/man/micombine.chisquare.Rd                           |   11 
 miceadds-2.3-0/miceadds/man/micombine.cor.Rd                                 |   16 
 miceadds-2.3-0/miceadds/man/mids2datlist.Rd                                  |   18 
 miceadds-2.3-0/miceadds/man/mids2mlwin.Rd                                    |  118 +-
 miceadds-2.3-0/miceadds/man/nestedList2List.Rd                               |    6 
 miceadds-2.3-0/miceadds/man/pca.covridge.Rd                                  |    2 
 miceadds-2.3-0/miceadds/man/pool.mids.nmi.Rd                                 |   22 
 miceadds-2.3-0/miceadds/man/pool_mi.Rd                                       |   10 
 miceadds-2.3-0/miceadds/man/round2.Rd                                        |   10 
 miceadds-2.3-0/miceadds/man/save.data.Rd                                     |    6 
 miceadds-2.3-0/miceadds/man/scale_datlist.Rd                                 |   48 -
 miceadds-2.3-0/miceadds/man/scan.vector.Rd                                   |    4 
 miceadds-2.3-0/miceadds/man/subset_datlist.Rd                                |   32 
 miceadds-2.3-0/miceadds/man/sumpreserving.rounding.Rd                        |    8 
 miceadds-2.3-0/miceadds/man/systime.Rd                                       |    2 
 miceadds-2.3-0/miceadds/man/tw.imputation.Rd                                 |    4 
 miceadds-2.3-0/miceadds/man/visitSequence.determine.Rd                       |    2 
 miceadds-2.3-0/miceadds/man/with.miceadds.Rd                                 |   16 
 miceadds-2.3-0/miceadds/man/write.fwf2.Rd                                    |    2 
 miceadds-2.3-0/miceadds/man/write.mice.imputation.Rd                         |    2 
 miceadds-2.3-0/miceadds/src/RcppExports.cpp                                  |only
 miceadds-2.3-0/miceadds/src/create_interactions_c.cpp                        |   44 -
 miceadds-2.3-0/miceadds/src/init.c                                           |only
 miceadds-2.3-0/miceadds/src/kernelpls_1dim_c.cpp                             |  199 +++-
 miceadds-2.3-0/miceadds/src/ma_pmm6_csource.cpp                              |   61 -
 miceadds-2.3-0/miceadds/src/ma_scale.cpp                                     |   60 -
 217 files changed, 1826 insertions(+), 1760 deletions(-)

More information about miceadds at CRAN
Permanent link

Package ipft updated to version 0.2.2 with previous version 0.1.03 dated 2017-02-15

Title: Indoor Positioning Fingerprinting Toolset
Description: Algorithms and utility functions for indoor positioning using fingerprinting techniques. These functions are designed for manipulation of RSSI (Received Signal Strength Intensity) data sets, estimation of positions,comparison of the performance of different models, and graphical visualization of data. Machine learning algorithms and methods such as k-nearest neighbors or probabilistic fingerprinting are implemented in this package to perform analysis and estimations over RSSI data sets.
Author: Emilio Sansano
Maintainer: Emilio Sansano <esansano@uji.es>

Diff between ipft versions 0.1.03 dated 2017-02-15 and 0.2.2 dated 2017-02-21

 DESCRIPTION         |   14 ++++++-------
 MD5                 |   33 ++++++++++++++++---------------
 R/ipft.R            |   55 ++++++++++++++++++++++++++--------------------------
 man/ipfCluster.Rd   |    6 ++---
 man/ipfDist.Rd      |    7 ++----
 man/ipfEstimate.Rd  |    1 
 man/ipfGroup.Rd     |    7 ++----
 man/ipfKnn.Rd       |   11 ++++------
 man/ipfPlotEcdf.Rd  |    1 
 man/ipfPlotEst.Rd   |    7 ++----
 man/ipfPlotLoc.Rd   |    1 
 man/ipfPlotPdf.Rd   |    1 
 man/ipfProb.Rd      |    5 +---
 man/ipfTransform.Rd |    3 --
 man/ipftest.Rd      |    1 
 man/ipftrain.Rd     |    1 
 src/init.c          |only
 src/ipf.cpp         |    2 -
 18 files changed, 73 insertions(+), 83 deletions(-)

More information about ipft at CRAN
Permanent link

Package fifer updated to version 1.1 with previous version 1.0 dated 2014-04-02

Title: A Biostatisticians Toolbox for Various Activities, Including Plotting, Data Cleanup, and Data Analysis
Description: Functions and datasets that can be used for data cleanup (e.g., functions for eliminating all but a few columns from a dataset, selecting a range of columns, quickly editing column names), plotting/presenting data (prism-like reproductions, spearman plots for ordinal data, making colored tables, plotting interactions with quantitative variables), and analyses common to biostatistics (e.g., random forest, multiple comparisons with chi square tests). See the package vignette for a brief introduction to many of the main functions.
Author: Dustin Fife <fife.dustin@gmail.com>
Maintainer: Dustin Fife <fife.dustin@gmail.com>

Diff between fifer versions 1.0 dated 2014-04-02 and 1.1 dated 2017-02-21

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Package DSsim updated to version 1.1.1 with previous version 1.1.0 dated 2017-01-16

Title: Distance Sampling Simulations
Description: Performs distance sampling simulations.It repeatedly generates instances of a user defined population within a given survey region, generates realisations of a survey design (currently these must be generated using Distance software in advance <http://distancesampling.org/>) and simulates the detection process. The data are then analysed so that the results can be compared for accuracy and precision across all replications. This will allow users to select survey designs which will give them the best accuracy and precision given their expectations about population distribution. Any uncertainty in population distribution or population parameters can be included by running the different survey designs for a number of different population descriptions. An example simulation can be found in the help file for make.simulation.
Author: Laura Marshall <lhm@st-and.ac.uk>
Maintainer: Laura Marshall <lhm@st-and.ac.uk>

Diff between DSsim versions 1.1.0 dated 2017-01-16 and 1.1.1 dated 2017-02-21

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Package stremo (with last version 0.2) was removed from CRAN

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

2011-09-29 0.2
2011-09-07 0.1

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New package rnaturalearthdata with initial version 0.1.0
Package: rnaturalearthdata
Title: World Vector Map Data from Natural Earth Used in 'rnaturalearth'
Version: 0.1.0
Authors@R: person("Andy", "South", , "southandy@gmail.com", role = c("aut", "cre"))
Description: Vector map data from <http://www.naturalearthdata.com/>. Access functions are provided in the accompanying package 'rnaturalearth'.
License: CC0
LazyData: true
LazyDataCompression: xz
URL: https://github.com/ropenscilabs/rnaturalearthdata
BugReports: https://github.com/ropenscilabs/rnaturalearthdata/issues
Depends: R (>= 3.1.1)
Imports: sp (>= 1.0.15)
Suggests: knitr (>= 1.12.3), testthat (>= 0.9.1)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-21 13:45:59 UTC; andy
Author: Andy South [aut, cre]
Maintainer: Andy South <southandy@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-21 15:17:10

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New package mle.tools with initial version 1.0.0
Package: mle.tools
Type: Package
Title: Expected/Observed Fisher Information and Bias-Corrected Maximum Likelihood Estimate(s)
Version: 1.0.0
License: GPL (>= 2)
Date: 2017-02-21
Author: Josmar Mazucheli
Maintainer: Josmar Mazucheli <jmazucheli@gmail.com>
Description: Calculates the expected/observed Fisher information and the bias-corrected maximum likelihood estimate(s) via Cox-Snell Methodology.
Depends: R (>= 3.0.2)
Imports: stats
Suggests: fitdistrplus (>= 1.0-6)
RoxygenNote: 5.0.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-02-21 13:06:25 UTC; josmar
Repository: CRAN
Date/Publication: 2017-02-21 15:17:08

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Package KernelKnn updated to version 1.0.5 with previous version 1.0.4 dated 2017-02-10

Title: Kernel k Nearest Neighbors
Description: Extends the simple k-nearest neighbors algorithm by incorporating numerous kernel functions and a variety of distance metrics. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between KernelKnn versions 1.0.4 dated 2017-02-10 and 1.0.5 dated 2017-02-21

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Package asnipe updated to version 1.1.3 with previous version 1.1.2 dated 2017-01-21

Title: Animal Social Network Inference and Permutations for Ecologists
Description: Implements several tools that are used in animal social network analysis. In particular, this package provides the tools to infer groups and generate networks from observation data, perform permutation tests on the data, calculate lagged association rates, and performed multiple regression analysis on social network data.
Author: Damien R. Farine <dfarine@orn.mpg.de>
Maintainer: Damien R. Farine <dfarine@orn.mpg.de>

Diff between asnipe versions 1.1.2 dated 2017-01-21 and 1.1.3 dated 2017-02-21

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New package ggimage with initial version 0.0.1
Package: ggimage
Title: Use Image in 'ggplot2'
Version: 0.0.1
Authors@R: person("Guangchuang", "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre"))
Description: Supports aesthetic mapping of image files to be visualized in 'ggplot2' graphic system. files as a scatterplot.
Depends: R (>= 3.3.0)
Imports: EBImage, ggplot2, grid, methods
Suggests: knitr, prettydoc
VignetteBuilder: knitr
ByteCompile: true
License: Artistic-2.0
URL: https://github.com/GuangchuangYu/ggimage
BugReports: https://github.com/GuangchuangYu/ggimage/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-21 12:28:42 UTC; guangchuangyu
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-21 14:18:24

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New package GraphKit with initial version 0.4
Package: GraphKit
Type: Package
Title: Estimating Structural Invariants of Graphical Models
Version: 0.4
Date: 2017-2-20
Author: Manbir Gulati, Junwei Lu, and Han Liu
Maintainer: Manbir Gulati <manbirgulati@gmail.com>
Description: Efficient methods for constructing confidence intervals of monotone graph invariants, as well as testing for monotone graph properties. Many packages are available to estimate precision matrices, this package serves as a tool to extract structural properties from their induced graphs. By iteratively bootstrapping on only the relevant edge set, we are able to obtain the optimal interval size.
License: GPL (>= 2)
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.12.8)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-02-21 10:39:19 UTC; ManiG
Repository: CRAN
Date/Publication: 2017-02-21 12:12:54

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New package woeBinning with initial version 0.1.1
Package: woeBinning
Type: Package
Title: Supervised WOE Binning of Numeric Variables and Factors
Version: 0.1.1
Date: 2017-02-21
Author: Thilo Eichenberg
Maintainer: Thilo Eichenberg <te.r@gmx.net>
Description: Implements an automated fine and coarse classing to bin numeric variables and factors with respect to a dichotomous target variable. Numeric variables are binned by merging a specified initial number of bins with similar frequencies. As a start sparse bins are merged with adjacent ones. Afterwards nearby bins with most similar WOE values are joined step by step until the information value (IV) decreases more than specified by a percentage value. Factors are binned by merging factor levels. At the beginning sparse levels are merged to a 'miscellaneous' level. Afterwards bins with most similar WOE values are joined step by step until the IV decreases more than specified by a percentage value. The package can be used with single variables or an entire data frame. It provides flexible tools for exploring different binning solutions and for deploying them to (new) data.
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-21 09:41:26 UTC; Thilo
Repository: CRAN
Date/Publication: 2017-02-21 11:41:15

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Package rsdmx updated to version 0.5-8 with previous version 0.5-7 dated 2017-01-24

Title: Tools for Reading SDMX Data and Metadata
Description: Set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework, currently focusing on the SDMX XML standard format (SDMX-ML).
Author: Emmanuel Blondel [aut, cre], Matthieu Stigler [ctb], Eric Persson [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between rsdmx versions 0.5-7 dated 2017-01-24 and 0.5-8 dated 2017-02-21

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Package Peptides updated to version 1.2.1 with previous version 1.1.2 dated 2017-01-16

Title: Calculate Indices and Theoretical Properties of Protein Sequences
Description: Calculate physicochemical properties and indices from amino-acid sequences of peptides and proteins. Include also the option to read and plot output files from the 'GROMACS' molecular dynamics package.
Author: Daniel Osorio, Paola Rondon-Villarreal and Rodrigo Torres.
Maintainer: Daniel Osorio <dcosorioh@unal.edu.co>

Diff between Peptides versions 1.1.2 dated 2017-01-16 and 1.2.1 dated 2017-02-21

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 Peptides-1.2.1/Peptides/man/plot.xvg.Rd           |   48 ++---
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Package spdep updated to version 0.6-10 with previous version 0.6-9 dated 2017-01-09

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

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New package SPAtest with initial version 1.0.0
Package: SPAtest
Type: Package
Title: Score Test Based on Saddlepoint Approximation
Version: 1.0.0
Date: 2017-02-19
Author: Rounak Dey, Seunggeun Lee
Maintainer: Rounak Dey <deyrnk@umich.edu>
Description: Performs score test using saddlepoint approximation to estimate the null distribution.
Depends: R (>= 3.0.0)
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2017-02-20 02:02:35 UTC; Rounak
Date/Publication: 2017-02-21 08:02:38

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Package smapr updated to version 0.1.0 with previous version 0.0.1 dated 2016-10-05

Title: Acquisition and Processing of NASA Soil Moisture Active-Passive (SMAP) Data
Description: Facilitates programmatic access to NASA Soil Moisture Active Passive (SMAP) data with R. It includes functions to search for, acquire, and extract SMAP data.
Author: Maxwell Joseph [aut, cre], Matthew Oakley [aut], Zachary Schira [aut]
Maintainer: Maxwell Joseph <maxwell.b.joseph@colorado.edu>

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New package RGBM with initial version 1.0-4
Package: RGBM
Type: Package
Title: LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network Reconstruction
Version: 1.0-4
Date: 2017-02-21
Author: Raghvendra Mall [aut, cre], Khalid Kunji [aut], Melissa O'Neill [ctb]
Authors@R: c(person(given = "Raghvendra",family = "Mall",role = c("aut","cre"), email = "rmall@hbku.edu.qa"), person(given="Khalid",family="Kunji",role="aut",email = "kkunji@hbku.edu.qa"), person(given="Melissa",family="O'Neill",role="ctb"))
Maintainer: Raghvendra Mall <rmall@hbku.edu.qa>
Repository: CRAN
Description: Provides an implementation of Regularized LS-TreeBoost & LAD-TreeBoost algorithm for Regulatory Network inference from any type of expression data (Microarray/RNA-seq etc).
License: GPL (>= 3)
LazyLoad: yes
Depends: foreach, plyr, doParallel
NeedsCompilation: yes
Packaged: 2017-02-21 06:58:57 UTC; rmall
Date/Publication: 2017-02-21 08:43:21

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Package replyr updated to version 0.2.3 with previous version 0.2.1 dated 2017-01-21

Title: Fluid Use of 'dplyr'
Description: Methods to get a grip on working with remote 'tbl' sources ('SQL' databases, 'sparklyr' 'Spark' 2.0.0 and above) through 'dplyr'. Adds convenience functions to make such tasks more like working with an in-memory 'data.frame'. Results do depend on which 'dplyr' data service you use.
Author: John Mount, Nina Zumel
Maintainer: John Mount <jmount@win-vector.com>

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Package RcmdrPlugin.EZR updated to version 1.35 with previous version 1.34 dated 2017-01-18

Title: R Commander Plug-in for the EZR (Easy R) Package
Description: EZR (Easy R) adds a variety of statistical functions, including survival analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to the R commander. EZR enables point-and-click easy access to statistical functions, especially for medical statistics. EZR is platform-independent and runs on Windows, Mac OS X, and UNIX. Its complete manual is available only in Japanese (Chugai Igakusha, ISBN: 978-4-498-10901-8 or Nankodo, ISBN: 978-4-524-26158-1), but an report that introduced the investigation of EZR was published in Bone Marrow Transplantation (Nature Publishing Group) as an Open article. This report can be used as a simple manual. It can be freely downloaded from the journal website as shown below.
Author: Yoshinobu Kanda
Maintainer: Yoshinobu Kanda <ycanda-tky@umin.ac.jp>

Diff between RcmdrPlugin.EZR versions 1.34 dated 2017-01-18 and 1.35 dated 2017-02-21

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Package oem updated to version 2.0.4 with previous version 2.0.3 dated 2016-10-26

Title: Orthogonalizing EM
Description: Solves penalized least squares problems using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:10.1080/00401706.2015.1054436>. The main fitting function is oem() and the functions cv.oem() and xval.oem() are for cross validation, the latter being an accelerated cross validation function for linear models. The big.oem() function allows for out of memory fitting.
Author: Bin Dai [aut], Jared Huling [aut, cre], Yixuan Qiu [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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New package nonpar with initial version 1.0.0
Package: nonpar
Type: Package
Title: A Collection of Nonparametric Hypothesis Tests
Version: 1.0.0
Author: D. Lukke Sweet
Maintainer: D. Lukke Sweet <dls229@zips.uakron.edu>
Depends: R (>= 3.3.1)
Imports: methods
Description: Contains the following 5 nonparametric hypothesis tests: The Sign Test, The 2 Sample Median Test, Miller's Jackknife Procedure, Cochran's Q Test, & The Stuart-Maxwell Test.
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2017-02-21 00:53:34 UTC; Lukke
Repository: CRAN
Date/Publication: 2017-02-21 08:02:43

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Package NLP updated to version 0.1-10 with previous version 0.1-9 dated 2016-02-18

Title: Natural Language Processing Infrastructure
Description: Basic classes and methods for Natural Language Processing.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between NLP versions 0.1-9 dated 2016-02-18 and 0.1-10 dated 2017-02-21

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Package movMF updated to version 0.2-1 with previous version 0.2-0 dated 2014-07-03

Title: Mixtures of von Mises-Fisher Distributions
Description: Fit and simulate mixtures of von Mises-Fisher distributions.
Author: Kurt Hornik [aut, cre], Bettina Grün [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package KraljicMatrix updated to version 0.1.1 with previous version 0.1.0 dated 2016-12-15

Title: A Quantified Implementation of the Kraljic Matrix
Description: Implements a quantified approach to the Kraljic Matrix (Kraljic, 1983, <https://hbr.org/1983/09/purchasing-must-become-supply-management>) for strategically analyzing a firm’s purchasing portfolio. It combines multi-objective decision analysis to measure purchasing characteristics and uses this information to place products and services within the Kraljic Matrix.
Author: Bradley Boehmke [aut, cre], Robert Montgomery [ctb], Ogden Jeffrey [ctb], Jason Freels [ctb]
Maintainer: Bradley Boehmke <bradleyboehmke@gmail.com>

Diff between KraljicMatrix versions 0.1.0 dated 2016-12-15 and 0.1.1 dated 2017-02-21

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Package jmv updated to version 0.7.0.3 with previous version 0.7.0 dated 2017-02-13

Title: The 'jamovi' Analyses
Description: 'jamovi' is a rich graphical statistics program providing many common statistical tests such as t-tests, ANOVAs, correlation matrices, proportion tests, contingency tables, etc (see <https://www.jamovi.org> for more information). This package makes all of the basic 'jamovi' analyses available to the R user.
Author: Jonathon Love, Damian Dropmann, Ravi Selker
Maintainer: Jonathon Love <jon@thon.cc>

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Package hisse updated to version 1.8.1 with previous version 1.8 dated 2016-08-25

Title: Hidden State Speciation and Extinction
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification.
Author: Jeremy M. Beaulieu <jbeaulieu@nimbios.org>, Brian O'Meara <bomeara@utk.edu>
Maintainer: Jeremy Beaulieu <jbeaulieu@nimbios.org>

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Package BAS updated to version 1.4.3 with previous version 1.4.2 dated 2016-10-13

Title: Bayesian Model Averaging using Bayesian Adaptive Sampling
Description: Package for Bayesian Model Averaging in linear models and generalized linear models using stochastic or deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner's g-prior or mixtures of g-priors corresponding to the Zellner-Siow Cauchy Priors or the mixture of g-priors from Liang et al (2008) <DOI:10.1198/016214507000001337> for linear models or mixtures of g-priors in GLMs of Li and Clyde (2015) <http://arxiv.org/abs/1503.06913>. Other model selection criteria include AIC, BIC and Empirical Bayes estimates of g. Sampling probabilities may be updated based on the sampled models using Sampling w/out Replacement or an efficient MCMC algorithm samples models using the BAS tree structure as an efficient hash table. Uniform priors over all models or beta-binomial prior distributions on model size are allowed, and for large p truncated priors on the model space may be used. The user may force variables to always be included. Details behind the sampling algorithm are provided in Clyde, Ghosh and Littman (2010) <DOI:10.1198/jcgs.2010.09049>. This material is based upon work supported by the National Science Foundation under Grant DMS-1106891. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Author: Merlise Clyde [aut, cre, cph], Michael Littman [ctb], Quanli Wang [ctb], Joyee Ghosh [ctb], Yingbo Li [ctb]
Maintainer: Merlise Clyde <clyde@stat.duke.edu>

Diff between BAS versions 1.4.2 dated 2016-10-13 and 1.4.3 dated 2017-02-21

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Package AMModels updated to version 0.1.2 with previous version 0.1.1 dated 2017-02-01

Title: Adaptive Management Model Manager
Description: Helps enable adaptive management by codifying knowledge in the form of models generated from numerous analyses and data sets. Facilitates this process by storing all models and data sets in a single object that can be updated and saved, thus tracking changes in knowledge through time. A shiny application called AM Model Manager (modelMgr()) enables the use of these functions via a GUI.
Author: Jon Katz <jonkatz4@gmail.com>, Therese Donovan <tdonovan@uvm.edu>
Maintainer: Jon Katz <jonkatz4@gmail.com>

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Mon, 20 Feb 2017

New package vote with initial version 1.0-0
Package: vote
Type: Package
Title: Election Vote Counting
Version: 1.0-0
Date: 2017-02-17
Author: Hana Sevcikova, Bernard Silverman, Adrian Raftery
Maintainer: Hana Sevcikova<hanas@uw.edu>
Description: Counting election votes and determining election results by different methods, including the single transferable vote, approval, score and plurality methods.
Imports: formattable, knitr
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-02-18 02:35:15 UTC; hana
Repository: CRAN
Date/Publication: 2017-02-21 00:16:00

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New package stdvectors with initial version 0.0.5
Package: stdvectors
Type: Package
Title: C++ Standard Library Vectors in R
Version: 0.0.5
Date: 2017-02-20
Author: Marco Giuliano
Maintainer: Marco Giuliano <mgiuliano.mail@gmail.com>
Description: Allows the creation and manipulation of C++ std::vector's in R.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4)
URL: https://github.com/digEmAll/stdvectors
BugReports: https://github.com/digEmAll/stdvectors/issues
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-02-20 21:42:50 UTC; marco
Repository: CRAN
Date/Publication: 2017-02-21 00:14:31

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Package OxyBS updated to version 1.5 with previous version 1.0 dated 2015-12-01

Title: Processing of Oxy-Bisulfite Microarray Data
Description: Provides utilities for processing of Oxy-Bisulfite microarray data (e.g. via the Illumina Infinium platform, <http://www.illumina.com>) with tandem arrays, one using conventional bisulfite conversion, the other using oxy-bisulfite conversion.
Author: E. Andres Houseman, Sc.D. and Kevin C. Johnson
Maintainer: E. Andres Houseman <eahouseman@gmail.com>

Diff between OxyBS versions 1.0 dated 2015-12-01 and 1.5 dated 2017-02-20

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Package lifecontingencies updated to version 1.2.3 with previous version 1.2.1 dated 2016-07-07

Title: Financial and Actuarial Mathematics for Life Contingencies
Description: Classes and methods that allow the user to manage life table, actuarial tables (also multiple decrements tables). Moreover, functions to easily perform demographic, financial and actuarial mathematics on life contingencies insurances calculations are contained therein.
Author: Giorgio Alfredo Spedicato [cre,aut], Reinhold Kainhofer [ctb], Kevin J. Owens [ctb], Christophe Dutang [ctb], Ernesto Schirmacher[ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

Diff between lifecontingencies versions 1.2.1 dated 2016-07-07 and 1.2.3 dated 2017-02-20

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Package lclGWAS updated to version 1.0.3 with previous version 1.0.2 dated 2016-11-30

Title: Efficient Estimation of Discrete-Time Multivariate Frailty Model Using Exact Likelihood Function for Grouped Survival Data
Description: The core of this 'Rcpp' based package is several functions to estimate the baseline hazard, frailty variance, and fixed effect parameter for a discrete-time shared frailty model with random effects. The functions are designed to analyze grouped time-to-event data accounting for family structure of related individuals (i.e., trios). The core functions include two processes: (1) evaluate the multivariable integration to compute the exact proportional hazards model based likelihood and (2) estimate the desired parameters using maximum likelihood estimation. The integration is evaluated by the 'Cuhre' algorithm from the 'Cuba' library (Hahn, T., Cuba-a library for multidimensional numerical integration, Comput. Phys. Commun. 168, 2005, 78-95 <doi:10.1016/j.cpc.2005.01.010>), and the source files of the 'Cuhre' function are included in this package. The maximization process is carried out using Brent's algorithm, with the 'C++' code file from John Burkardt and John Denker (Brent, R.,Algorithms for Minimization without Derivatives, Dover, 2002, ISBN 0-486-41998-3).
Author: Jiaxing Lin, Alexander Sibley, Tracy Truong, Nancy Cox, Eileen Dolan, Yu Jiang, Janice McCarthy, Andrew Allen, Kouros Owzar, Zhiguo Li
Maintainer: Jiaxing Lin <jiaxing.lin@duke.edu>

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Package jtGWAS updated to version 1.5 with previous version 1.4 dated 2016-07-07

Title: Efficient Jonckheere-Terpstra Test Statistics
Description: The core of this 'Rcpp' based package is a function to compute standardized Jonckheere-Terpstra test statistics for large numbers of dependent and independent variables, e.g., genome-wide analysis. It implements 'OpenMP', allowing the option of computing on multiple threads. Supporting functions are also provided to calculate p-values and summarize results.
Author: Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar
Maintainer: Jiaxing Lin <jiaxing.lin@duke.edu>

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Package fastJT updated to version 1.0.2 with previous version 1.0.1 dated 2017-02-06

Title: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies
Description: This 'Rcpp'-based package implements highly efficient functions for the calculation of the Jonckheere-Terpstra statistic. It can be used for a variety of applications, including feature selection in machine learning problems, or to conduct genome-wide association studies (GWAS) with multiple quantitative phenotypes. The code leverages 'OpenMP' directives for multi-core computing to reduce overall processing time.
Author: Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar
Maintainer: Jiaxing Lin <jiaxing.lin@duke.edu>

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Package W3CMarkupValidator updated to version 0.1-6 with previous version 0.1-5 dated 2015-12-20

Title: R Interface to W3C Markup Validation Services
Description: R interface to a W3C Markup Validation service. See <http://validator.w3.org/> for more information.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package textcat updated to version 1.0-5 with previous version 1.0-4 dated 2016-01-04

Title: N-Gram Based Text Categorization
Description: Text categorization based on n-grams.
Author: Kurt Hornik [aut, cre], Johannes Rauch [aut], Christian Buchta [aut], Ingo Feinerer [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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