Thu, 16 Aug 2018

Package mscstts updated to version 0.3.0 with previous version 0.2.2 dated 2018-07-05

Title: R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API
Description: R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API, including voice synthesis. A valid account must be registered at the Microsoft Cognitive Services website <https://www.microsoft.com/cognitive-services/> in order to obtain a (free) API key. Without an API key, this package will not work properly.
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between mscstts versions 0.2.2 dated 2018-07-05 and 0.3.0 dated 2018-08-16

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Package EGRETci updated to version 2.0.0 with previous version 1.0.2 dated 2016-04-16

Title: Exploration and Graphics for RivEr Trends (EGRET) Confidence Intervals
Description: Collection of functions to evaluate uncertainty of results from water quality analysis using the Weighted Regressions on Time Discharge and Season (WRTDS) method. This package is an add-on to the EGRET package that performs the WRTDS analysis.
Author: Robert Hirsch [aut] (<https://orcid.org/0000-0002-4534-075X>), Laura DeCicco [aut, cre] (<https://orcid.org/0000-0002-3915-9487>), Jennifer Murphy [ctb]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

Diff between EGRETci versions 1.0.2 dated 2016-04-16 and 2.0.0 dated 2018-08-16

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Package dyncomp updated to version 0.0.2-1 with previous version 0.0.1-5 dated 2017-12-11

Title: Complexity of Short and Coarse-Grained Time Series
Description: While there are many well-established measures for identifying critical fluctuations and phase transitions, these measures only work with many points of measurement and thus are unreliable when studying short and coarse-grained time series. This package provides a measure for complexity in a time series that does not rely on long time series (Kaiser (2017), <doi:10.17605/OSF.IO/GWTKX>).
Author: Tim Kaiser
Maintainer: Tim Kaiser <Tim.Kaiser@sbg.ac.at>

Diff between dyncomp versions 0.0.1-5 dated 2017-12-11 and 0.0.2-1 dated 2018-08-16

 DESCRIPTION    |    7 ++++---
 LICENSE        |    2 +-
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Permanent link

Package datastructures updated to version 0.2.7 with previous version 0.2.6 dated 2018-05-02

Title: Implementation of Core Data Structures
Description: Implementation of advanced data structures such as hashmaps, heaps, or queues. Advanced data structures are essential in many computer science and statistics problems, for example graph algorithms or string analysis. The package uses 'Boost' and 'STL' data types and extends these to R with 'Rcpp' modules.
Author: Simon Dirmeier [aut, cre]
Maintainer: Simon Dirmeier <simon.dirmeier@web.de>

Diff between datastructures versions 0.2.6 dated 2018-05-02 and 0.2.7 dated 2018-08-16

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Package BLPestimatoR updated to version 0.2.3 with previous version 0.1.5 dated 2017-08-13

Title: Performs a BLP Demand Estimation
Description: Provides the estimation algorithm to perform the demand estimation described in Berry, Levinsohn and Pakes (1995) <DOI:10.2307/2171802> . The routine uses analytic gradients and offers a large number of implemented integration methods and optimization routines.
Author: Daniel Brunner (aut), Constantin Weiser (ctr), Andre Romahn (ctr)
Maintainer: Daniel Brunner <daniel.brunner@hhu.de>

Diff between BLPestimatoR versions 0.1.5 dated 2017-08-13 and 0.2.3 dated 2018-08-16

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Package phonics updated to version 1.1.0 with previous version 1.0.0 dated 2018-02-13

Title: Phonetic Spelling Algorithms
Description: Provides a collection of phonetic algorithms including Soundex, Metaphone, NYSIIS, Caverphone, and others.
Author: James P. Howard, II [aut, cre], Oliver Keyes [ctb]
Maintainer: "James P. Howard, II" <jh@jameshoward.us>

Diff between phonics versions 1.0.0 dated 2018-02-13 and 1.1.0 dated 2018-08-16

 DESCRIPTION             |   10 -
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Permanent link

Package EGRET updated to version 3.0.0 with previous version 2.6.0 dated 2016-07-26

Title: Exploration and Graphics for RivEr Trends (EGRET)
Description: Statistics and graphics for streamflow history, water quality trends, and the statistical modeling algorithm: Weighted Regressions on Time, Discharge, and Season (WRTDS).
Author: Robert Hirsch [aut] (<https://orcid.org/0000-0002-4534-075X>), Laura DeCicco [aut, cre] (<https://orcid.org/0000-0002-3915-9487>), David Watkins [ctb], Lindsay Carr [ctb], Jennifer Murphy [ctb]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

Diff between EGRET versions 2.6.0 dated 2016-07-26 and 3.0.0 dated 2018-08-16

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Package synthpop updated to version 1.5-0 with previous version 1.4-4 dated 2018-06-27

Title: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control
Description: A tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the data set. Variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models. Data are synthesised via the function syn() which can be largely automated, if default settings are used, or with methods defined by the user. Optional parameters can be used to influence the disclosure risk and the analytical quality of the synthesised data. For a description of the implemented method see Nowok, Raab and Dibben (2016) <doi:10.18637/jss.v074.i11>.
Author: Beata Nowok, Gillian M Raab, Joshua Snoke and Chris Dibben
Maintainer: Beata Nowok <beata.nowok@gmail.com>

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Package rlang updated to version 0.2.2 with previous version 0.2.1 dated 2018-05-30

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

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Package mapedit updated to version 0.4.3 with previous version 0.4.1 dated 2018-03-02

Title: Interactive Editing of Spatial Data in R
Description: Suite of interactive functions and helpers for selecting and editing geospatial data.
Author: Tim Appelhans [aut, cre], Kenton Russell [aut]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

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Package LDheatmap updated to version 0.99-5 with previous version 0.99-4 dated 2018-03-12

Title: Graphical Display of Pairwise Linkage Disequilibria Between SNPs
Description: Produces a graphical display, as a heat map, of measures of pairwise linkage disequilibria between SNPs. Users may optionally include the physical locations or genetic map distances of each SNP on the plot.
Author: Ji-Hyung Shin [aut], Sigal Blay [aut], Nicholas Lewin-Koh [ctb], Brad McNeney [aut, cre], Gloria Yang [ctb], Matthew Reyers [ctb], Jinko Graham [aut]
Maintainer: Brad McNeney <mcneney@sfu.ca>

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Package ergm updated to version 3.9.4 with previous version 3.8.0 dated 2017-08-20

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description: An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis.
Author: Mark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>), Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>

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 ergm-3.9.4/ergm/R/approx.hotelling.diff.test.R          |  264 ++-
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 ergm-3.9.4/ergm/R/control.ergm.R                        |  511 +++++--
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 ergm-3.9.4/ergm/R/control.gof.R                         |  102 +
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 ergm-3.9.4/ergm/R/ergm.MCMLE.R                          |  132 +
 ergm-3.9.4/ergm/R/ergm.R                                |  582 ++++++--
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 ergm-3.9.4/ergm/R/ergm.getMCMCsample.R                  |  299 ++--
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 ergm-3.9.4/ergm/R/ergm.robmon.R                         |   36 
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 ergm-3.9.4/ergm/inst/NEWS.Rd                            |  189 ++
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 ergm-3.9.4/ergm/man/search.ergmTerms.Rd                 |   78 -
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 ergm-3.9.4/ergm/src/MHproposals.c                       |  115 +
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 ergm-3.9.4/ergm/src/MHproposals_degree.h                |    2 
 ergm-3.9.4/ergm/src/MPLE.c                              |  189 --
 ergm-3.9.4/ergm/src/MPLE.h                              |   17 
 ergm-3.9.4/ergm/src/SAN.c                               |    2 
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 ergm-3.9.4/ergm/src/changestats.c                       |  144 +-
 ergm-3.9.4/ergm/src/changestats.dgw_sp.c                |    2 
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 ergm-3.9.4/ergm/src/changestats_coincidence.c           |    2 
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 ergm-3.9.4/ergm/src/changestats_test.c                  |only
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More information about ergm at CRAN
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Package castor updated to version 1.3.4 with previous version 1.3.3 dated 2018-04-11

Title: Efficient Phylogenetics on Large Trees
Description: Efficient tree manipulations for large phylogenies, including pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters. Simulating and fitting models of trait evolution, and generating random trees using birth-death models. Dating trees, comparing two trees, and reading/writing trees to a file. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

Diff between castor versions 1.3.3 dated 2018-04-11 and 1.3.4 dated 2018-08-16

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Package stpm updated to version 1.7.7 with previous version 1.7.5 dated 2018-07-17

Title: Stochastic Process Model for Analysis of Longitudinal and Time-to-Event Outcomes
Description: Utilities to estimate parameters of the models with survival functions induced by stochastic covariates. Miscellaneous functions for data preparation and simulation are also provided. For more information, see: (i)"Stochastic model for analysis of longitudinal data on aging and mortality" by Yashin A. et al. (2007), Mathematical Biosciences, 208(2), 538-551, <DOI:10.1016/j.mbs.2006.11.006>; (ii) "Health decline, aging and mortality: how are they related?" by Yashin A. et al. (2007), Biogerontology 8(3), 291(302), <DOI:10.1007/s10522-006-9073-3>.
Author: I. Y. Zhbannikov, Liang He, K. G. Arbeev, A. I. Yashin.
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>

Diff between stpm versions 1.7.5 dated 2018-07-17 and 1.7.7 dated 2018-08-16

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Package RcppArmadillo updated to version 0.9.100.5.0 with previous version 0.8.600.0.0 dated 2018-06-29

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that Armadillo requires a fairly recent compiler; for the g++ family at least version 4.6.* is required.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.8.600.0.0 dated 2018-06-29 and 0.9.100.5.0 dated 2018-08-16

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More information about RcppArmadillo at CRAN
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Package openEBGM updated to version 0.7.0 with previous version 0.6.0 dated 2018-05-21

Title: EBGM Scores for Mining Large Contingency Tables
Description: An implementation of DuMouchel's (1999) <doi:10.1080/00031305.1999.10474456> Bayesian data mining method for the market basket problem. Calculates Empirical Bayes Geometric Mean (EBGM) and quantile scores from the posterior distribution using the Gamma-Poisson Shrinker (GPS) model to find unusually large cell counts in large, sparse contingency tables. Can be used to find unusually high reporting rates of adverse events associated with products. In general, can be used to mine any database where the co-occurrence of two variables or items is of interest. Also calculates relative and proportional reporting ratios. Builds on the work of the 'PhViD' package, from which much of the code is derived. Some of the added features include stratification to adjust for confounding variables and data squashing to improve computational efficiency. Now includes an implementation of the EM algorithm for hyperparameter estimation loosely derived from the 'mederrRank' package.
Author: John Ihrie [cre, aut], Travis Canida [aut], Ismaïl Ahmed [ctb] (author of 'PhViD' package (derived code)), Antoine Poncet [ctb] (author of 'PhViD'), Sergio Venturini [ctb] (author of 'mederrRank' package (derived code)), Jessica Myers [ctb] (author of 'mederrRank')
Maintainer: John Ihrie <John.Ihrie@fda.hhs.gov>

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Package mapview updated to version 2.5.0 with previous version 2.4.0 dated 2018-04-28

Title: Interactive Viewing of Spatial Data in R
Description: Quickly and conveniently create interactive visualisations of spatial data with or without background maps. Attributes of displayed features are fully queryable via pop-up windows. Additional functionality includes methods to visualise true- and false-color raster images, bounding boxes, small multiples and 3D raster data cubes.
Author: Tim Appelhans [cre, aut], Florian Detsch [aut], Christoph Reudenbach [aut], Stefan Woellauer [aut], Spaska Forteva [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb], Kenton Russell [ctb], Michael Sumner [ctb], Jochen Darley [ctb], Pierre Roudier [ctb], Environmental Informatics Marburg [ctb]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

Diff between mapview versions 2.4.0 dated 2018-04-28 and 2.5.0 dated 2018-08-16

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More information about mapview at CRAN
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Package canvasXpress updated to version 1.20.5 with previous version 1.20.1 dated 2018-07-25

Title: Visualization Package for CanvasXpress in R
Description: Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <http://canvasxpress.org> for more information.
Author: Isaac Neuhaus [aut], Connie Brett [aut, cre]
Maintainer: Connie Brett <connie@aggregate-genius.com>

Diff between canvasXpress versions 1.20.1 dated 2018-07-25 and 1.20.5 dated 2018-08-16

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Package trackr updated to version 0.9.6 with previous version 0.9.5 dated 2018-08-15

Title: Semantic Annotation and Discoverability System for R-Based Artifacts
Description: Automatically annotates R-based artifacts with relevant descriptive and provenance-related and provides a backend-agnostic storage and discoverability system for organizing, retrieving, and interrogating such artifacts.
Author: Gabriel Becker [aut, cre], Sara Moore [aut]
Maintainer: Gabriel Becker <becker.gabriel@gene.com>

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Permanent link

New package NetworkInference with initial version 1.2.2
Package: NetworkInference
Type: Package
Title: Inferring Latent Diffusion Networks
Version: 1.2.2
Date: 2018-07-27
Authors@R: c(person("Fridolin", "Linder", email = "fridolin.linder@gmail.com", role = c("aut", "cre")), person("Bruce", "Desmarais", role = "ctb"))
Description: This is an R implementation of the netinf algorithm (Gomez Rodriguez, Leskovec, and Krause, 2010)<doi:10.1145/1835804.1835933>. Given a set of events that spread between a set of nodes the algorithm infers the most likely stable diffusion network that is underlying the diffusion process.
License: MIT + file LICENSE
Imports: Rcpp (>= 0.12.5), assertthat, checkmate, ggplot2, ggrepel, stats
LinkingTo: Rcpp, RcppProgress
BugReports: https://github.com/desmarais-lab/NetworkInference/issues
Suggests: testthat, knitr, rmarkdown, pander, igraph, utils, dplyr
RoxygenNote: 6.0.1
SystemRequirements: C++11
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-07-27 16:42:31 UTC; flinder
Author: Fridolin Linder [aut, cre], Bruce Desmarais [ctb]
Maintainer: Fridolin Linder <fridolin.linder@gmail.com>
Repository: CRAN
Date/Publication: 2018-08-16 16:40:08 UTC

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Package roprov updated to version 0.1.1 with previous version 0.1.0 dated 2018-06-24

Title: Low-Level Support for Provenance Capture Between in-Memory R Objects
Description: A suite of classes and methods which provide low-level support for modeling provenance between in-memory R objects. This is an infrastructure package and is not intended to be used directly by end-users.
Author: Gabriel Becker
Maintainer: Gabriel Becker <becker.gabriel@gene.com>

Diff between roprov versions 0.1.0 dated 2018-06-24 and 0.1.1 dated 2018-08-16

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Package STPGA updated to version 5.1 with previous version 5.0 dated 2018-07-22

Title: Selection of Training Populations by Genetic Algorithm
Description: To be utilized to select a test data calibrated training population in high dimensional prediction problems and assumes that the explanatory variables are observed for all of the individuals. Once a "good" training set is identified, the response variable can be obtained only for this set to build a model for predicting the response in the test set. The algorithms in the package can be tweaked to solve some other subset selection problems.
Author: Deniz Akdemir
Maintainer: Deniz Akdemir <deniz.akdemir.work@gmail.com>

Diff between STPGA versions 5.0 dated 2018-07-22 and 5.1 dated 2018-08-16

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Package rtrim updated to version 2.0.5 with previous version 2.0.4 dated 2018-03-15

Title: Trends and Indices for Monitoring Data
Description: The TRIM model is widely used for estimating growth and decline of animal populations based on (possibly sparsely available) count data. The current package is a reimplementation of the original TRIM software developed at Statistics Netherlands by Jeroen Pannekoek. See <https://www.cbs.nl/en-gb/society/nature-and-environment/indices-and-trends%2d%2dtrim%2d%2d> for more information about TRIM.
Author: Patrick Bogaart [aut, cre], Mark van der Loo [aut], Jeroen Pannekoek [aut]
Maintainer: Patrick Bogaart <rtrim@cbs.nl>

Diff between rtrim versions 2.0.4 dated 2018-03-15 and 2.0.5 dated 2018-08-16

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 53 files changed, 913 insertions(+), 174 deletions(-)

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New package trawl with initial version 0.2.1
Package: trawl
Type: Package
Title: Estimation and Simulation of Trawl Processes
Version: 0.2.1
Author: Almut E. D. Veraart
Maintainer: Almut E. D. Veraart <a.veraart@imperial.ac.uk>
Description: Contains R functions for simulating and estimating integer-valued trawl processes as described in the article "Modelling, simulation and inference for multivariate time series of counts using trawl processes" by A. E. D. Veraart (Journal of Multivariate Analysis, 2018, to appear, preprint available at: <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3100076> ) and for simulating random vectors from the bivariate negative binomial and the bi- and trivariate logarithmic series distributions.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Depends: R (>= 3.4.0)
Imports: DEoptim, graphics, MASS, rootSolve, Runuran, squash, stats, TSA
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-08-15 19:10:11 UTC; averaart
Repository: CRAN
Date/Publication: 2018-08-16 11:50:03 UTC

More information about trawl at CRAN
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Package SHELF updated to version 1.4.0 with previous version 1.3.0 dated 2017-10-31

Title: Tools to Support the Sheffield Elicitation Framework
Description: Implements various methods for eliciting a probability distribution for a single parameter from an expert or a group of experts. The expert provides a small number of probability judgements, corresponding to points on his or her cumulative distribution function. A range of parametric distributions can then be fitted and displayed, with feedback provided in the form of fitted probabilities and percentiles. A graphical interface for the roulette elicitation method is also provided. For multiple experts, a weighted linear pool can be calculated. Also includes functions for eliciting beliefs about population distributions.
Author: Jeremy Oakley
Maintainer: Jeremy Oakley <j.oakley@sheffield.ac.uk>

Diff between SHELF versions 1.3.0 dated 2017-10-31 and 1.4.0 dated 2018-08-16

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 39 files changed, 262 insertions(+), 179 deletions(-)

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New package RWDataPlyr with initial version 0.6.2
Package: RWDataPlyr
Version: 0.6.2
Title: Read and Manipulate Data from 'RiverWare'
Description: A tool to read and manipulate data generated from 'RiverWare'(TM) <http://www.riverware.org/> simulations. 'RiverWare' and 'RiverSMART' generate data in "rdf", "csv", and "nc" format. This package provides an interface to read, aggregate, and summarize data from one or more simulations in a 'dplyr' pipeline.
Authors@R: c( person("Alan","Butler", ,"rabutler@usbr.gov", c("aut","cre")), person("Cameron","Bracken", role = "aut") )
URL: https://github.com/BoulderCodeHub/RWDataPlyr
BugReports: https://github.com/BoulderCodeHub/RWDataPlyr/issues
Depends: R (>= 3.3.0)
Imports: data.table (>= 1.10.0), dplyr (>= 0.7.0), methods, stats, tibble, tidyr, tools, utils, feather, xts, zoo, Rcpp
Suggests: bookdown, knitr, rmarkdown, testthat
License: CC0
Copyright: This software is in the public domain because it contains materials that originally came from the U.S. Bureau of Reclamation, an agency of the U.S. Department of Interior.
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2018-08-15 15:17:20 UTC; RAButler
Author: Alan Butler [aut, cre], Cameron Bracken [aut]
Maintainer: Alan Butler <rabutler@usbr.gov>
Repository: CRAN
Date/Publication: 2018-08-16 11:40:10 UTC

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New package mixchar with initial version 0.1.0
Package: mixchar
Title: Mixture Model for the Deconvolution of Thermal Decay Curves
Version: 0.1.0
Date: 2018-08-11
Authors@R: c(person("Saras", "Windecker", role = c("aut", "cre"), email = "saras.windecker@gmail.com"), person("Nick", "Golding", role = "aut", email = "nick.golding.research@gmail.com"))
Description: Deconvolution of thermal decay curves allows you to quantify proportions of biomass components in plant litter. Thermal decay curves derived from thermogravimetric analysis (TGA) are imported, modified, and then modelled in a three- or four- part mixture model using the Fraser-Suzuki function. The output is estimates for weights of pseudo-components corresponding to hemicellulose, cellulose, and lignin. For more information see: Müller-Hagedorn, M. and Bockhorn, H. (2007) <doi:10.1016/j.jaap.2006.12.008>, Órfão, J. J. M. and Figueiredo, J. L. (2001) <doi:10.1016/S0040-6031(01)00634-7>, and Yang, H. and Yan, R. and Chen, H. and Zheng, C. and Lee, D. H. and Liang, D. T. (2006) <doi:10.1021/ef0580117>.
Depends: R (>= 3.2.0)
Imports: graphics, minpack.lm, nloptr, stats, zoo, tmvtnorm
License: MIT + file LICENSE
URL: http://github.com/smwindecker/mixchar
BugReports: http://github.com/smwindecker/mixchar/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: knitr, rmarkdown, devtools, testthat, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-08-15 15:32:45 UTC; windeckers
Author: Saras Windecker [aut, cre], Nick Golding [aut]
Maintainer: Saras Windecker <saras.windecker@gmail.com>
Repository: CRAN
Date/Publication: 2018-08-16 11:50:09 UTC

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New package DataPackageR with initial version 0.15.1
Package: DataPackageR
Type: Package
Title: Construct Reproducible Analytic Data Sets as R Packages
Authors@R: c(person(given = "Greg Finak", role=c("aut","cre","cph"), email="gfinak@fredhutch.org"), person(given = "Paul Obrecht", role=c("ctb")), person("Kara", "Woo", role = "rev", comment = "Kara reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/230>"), person("William", "Landau", role = "rev", comment = "William reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/230>"))
Version: 0.15.1
Description: A framework to help construct R data packages in a reproducible manner. Potentially time consuming processing of raw data sets into analysis ready data sets is done in a reproducible manner and decoupled from the usual R CMD build process so that data sets can be processed into R objects in the data package and the data package can then be shared, built, and installed by others without the need to repeat computationally costly data processing. The package maintains data provenance by turning the data processing scripts into package vignettes, as well as enforcing documentation and version checking of included data objects. Data packages can be version controlled in github, and used to share data for manuscripts, collaboration and general reproducibility.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: digest, knitr, utils, rmarkdown, desc, yaml, purrr, roxygen2 (>= 6.0.1), devtools (>= 1.12.0), assertthat, stringr, futile.logger, rprojroot, usethis, crayon
VignetteBuilder: knitr
RoxygenNote: 6.1.0
Encoding: UTF-8
Suggests: testthat, covr, data.tree
URL: https://github.com/ropensci/DataPackageR
BugReports: https://github.com/ropensci/DataPackageR/issues
NeedsCompilation: no
Packaged: 2018-08-15 19:57:27 UTC; gfinak
Author: Greg Finak [aut, cre, cph], Paul Obrecht [ctb], Kara Woo [rev] (Kara reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/230>), William Landau [rev] (William reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/230>)
Maintainer: Greg Finak <gfinak@fredhutch.org>
Repository: CRAN
Date/Publication: 2018-08-16 12:00:08 UTC

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Package batchtools updated to version 0.9.11 with previous version 0.9.10 dated 2018-05-19

Title: Tools for Computation on Batch Systems
Description: As a successor of the packages 'BatchJobs' and 'BatchExperiments', this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers 'IBM Spectrum LSF' (<https://www.ibm.com/us-en/marketplace/hpc-workload-management>), 'OpenLava' (<http://www.openlava.org/>), 'Univa Grid Engine'/'Oracle Grid Engine' (<http://www.univa.com/>), 'Slurm' (<http://slurm.schedmd.com/>), 'TORQUE/PBS' (<http://www.adaptivecomputing.com/products/open-source/torque/>), or 'Docker Swarm' (<https://docs.docker.com/swarm/>). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproducible way.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut], Dirk Surmann [ctb] (<https://orcid.org/0000-0003-0873-137X>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between batchtools versions 0.9.10 dated 2018-05-19 and 0.9.11 dated 2018-08-16

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 81 files changed, 319 insertions(+), 240 deletions(-)

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New package MVNBayesian with initial version 0.0.8-11
Package: MVNBayesian
Type: Package
Title: Bayesian Analysis Framework for MVN (Mixture) Distribution
Version: 0.0.8-11
Author: ZHANG Chen
Maintainer: ZHANG Chen <447974102@qq.com>
Description: Tools of Bayesian analysis framework using the method suggested by Berger (1985) <doi:10.1007/978-1-4757-4286-2> for multivariate normal (MVN) distribution and multivariate normal mixture (MixMVN) distribution: a) calculating Bayesian posteriori of (Mix)MVN distribution; b) generating random vectors of (Mix)MVN distribution; c) Markov chain Monte Carlo (MCMC) for (Mix)MVN distribution.
Imports: mvtnorm, plyr, stats
Suggests: rgl, Rfast
License: GPL-2
URL: https://github.com/CubicZebra/MVNBayesian
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-08-15 06:04:53 UTC; chen_zhang
Repository: CRAN
Date/Publication: 2018-08-16 10:40:07 UTC

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Package mlt.docreg updated to version 1.0-2 with previous version 1.0-1 dated 2018-06-22

Title: Most Likely Transformations: Documentation and Regression Tests
Description: Additional documentation, a package vignette and regression tests for package mlt.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mlt.docreg versions 1.0-1 dated 2018-06-22 and 1.0-2 dated 2018-08-16

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 inst/doc/mlt.Rnw   |    4 ++--
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 8 files changed, 24 insertions(+), 17 deletions(-)

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New package merlin with initial version 0.0.1
Package: merlin
Date: 2018-08-15
Version: 0.0.1
Title: Mixed Effects Regression for Linear, Non-Linear and User-Defined Models
Description: Fits linear, non-linear, and user-defined mixed effects regression models following the framework developed by Crowther (2017) <arXiv:1710.02223>. 'merlin' can fit multivariate outcome models of any type, each of which could be repeatedly measured (longitudinal), with any number of levels, and with any number of random effects at each level. Standard distributions/models available include the Bernoulli, Gaussian, Poisson, beta, negative-binomial, and time-to-event/survival models include the exponential, Gompertz, Royston-Parmar, Weibull and general hazard model. 'merlin' provides a flexible predictor syntax, allowing the user to define variables, random effects, spline and fractional polynomial functions, functions of other outcome models, and any interaction between each of them. Non-linear and time-dependent effects are seamlessly incorporated into the predictor. 'merlin' allows multivariate normal random effects, which are integrated out using Gaussian quadrature or Monte-Carlo integration. Note, 'merlin' is based on the 'Stata' package of the same name, described in Crowther (2018) <arXiv:1806.01615>.
Authors@R: c( person(given = "Emma", family = "Martin", email = "emma.martin@le.ac.uk", role = c("aut")), person(given = "Alessandro", family = "Gasparini", email = "ag475@le.ac.uk", role = c("aut")), person(given = "Michael", family = "Crowther", email = "michael.crowther@le.ac.uk", role = c("aut","cre")) )
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports: statmod, stats, survival, randtoolbox, MASS
Suggests: knitr, rmarkdown, testthat
URL: https://www.mjcrowther.co.uk/software/merlin
VignetteBuilder: knitr
RoxygenNote: 6.1.0
LazyData: true
Encoding: UTF-8
ByteCompile: true
NeedsCompilation: no
Packaged: 2018-08-15 01:55:39 UTC; Michael
Author: Emma Martin [aut], Alessandro Gasparini [aut], Michael Crowther [aut, cre]
Maintainer: Michael Crowther <michael.crowther@le.ac.uk>
Repository: CRAN
Date/Publication: 2018-08-16 10:40:03 UTC

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New package mapdeck with initial version 0.1.0
Package: mapdeck
Type: Package
Title: Interactive Maps Using 'Mapbox GL JS' and 'Deck.gl'
Version: 0.1.0
Date: 2018-08-11
Authors@R: c( person("David", "Cooley", ,"dcooley@symbolix.com.au", role = c("aut", "cre")) )
Description: Provides a mechanism to plot an interactive map using 'Mapbox GL' (<https://www.mapbox.com/mapbox-gl-js/api/>), a javascript library for interactive maps, and 'Deck.gl' (<http://deck.gl/#/>), a javascript library which uses 'WebGL' for visualising large data sets.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: googlePolylines (>= 0.6.2), htmlwidgets, htmltools, scales, shiny, jsonlite, magrittr, viridisLite
RoxygenNote: 6.0.1
Suggests: covr, geojsonsf, knitr, rmarkdown, sf, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-08-14 21:53:43 UTC; david
Author: David Cooley [aut, cre]
Maintainer: David Cooley <dcooley@symbolix.com.au>
Repository: CRAN
Date/Publication: 2018-08-16 10:30:05 UTC

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Package jtools updated to version 1.1.0 with previous version 1.0.0 dated 2018-05-07

Title: Analysis and Presentation of Social Scientific Data
Description: This is a collection of tools that the author (Jacob) has written for the purpose of more efficiently understanding and sharing the results of (primarily) regression analyses. There are a number of functions focused specifically on the interpretation and presentation of interactions. Just about everything supports models from the survey package.
Author: Jacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)
Maintainer: Jacob A. Long <long.1377@osu.edu>

Diff between jtools versions 1.0.0 dated 2018-05-07 and 1.1.0 dated 2018-08-16

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New package AST with initial version 0.1.0
Package: AST
Type: Package
Title: Age-Spatial-Temporal Model
Version: 0.1.0
Author: Parinaz Mehdipour <mehdipoor.p@gmail.com> [aut], Ali Ghanbari <a.ghanbari541@gmail.com> [cre,aut], Farshad Farzadfar <farzadfar3@yahoo.com> [cph]
Maintainer: Ali Ghanbari <a.ghanbari541@gmail.com>
Description: Fits a model to adjust and consider additional variations in three dimensions of age groups, time, and space on residuals excluded from a prediction model that have residual such as: linear regression, mixed model and so on. Details are given in Foreman et al. (2015) <doi:10.1186/1478-7954-10-1>.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0), stats
NeedsCompilation: no
Packaged: 2018-08-14 20:18:49 UTC; Ali
Repository: CRAN
Date/Publication: 2018-08-16 10:30:17 UTC

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Package tm.plugin.mail updated to version 0.2-1 with previous version 0.2-0 dated 2018-08-09

Title: Text Mining E-Mail Plug-in
Description: A plug-in for the tm text mining framework providing mail handling functionality.
Author: Ingo Feinerer [aut] (<https://orcid.org/0000-0001-7656-8338>), Wolfgang Mauerer [aut], Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between tm.plugin.mail versions 0.2-0 dated 2018-08-09 and 0.2-1 dated 2018-08-16

 DESCRIPTION |    8 ++++----
 MD5         |    4 ++--
 R/source.R  |   26 +++++++++++++++++++++++++-
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New package sindyr with initial version 0.2
Package: sindyr
Type: Package
Title: Sparse Identification of Nonlinear Dynamics
Version: 0.2
Date: 2018-08-10
Author: Rick Dale and Harish S. Bhat
Maintainer: Rick Dale <racdale@gmail.com>
Description: This implements the Brunton et al (2016; PNAS <doi:10.1073/pnas.1517384113>) sparse identification algorithm for finding ordinary differential equations for a measured system from raw data (SINDy). The package includes a set of additional tools for working with raw data, with an emphasis on cognitive science applications (Dale and Bhat, in press <doi:10.1016/j.cogsys.2018.06.020>).
Depends: R (>= 3.4), pracma, arrangements, matrixStats, igraph, graphics, grDevices, crqa
License: GPL (>= 2)
Collate: 'windowed_sindy.R' 'sindy.R' 'features.R' 'finite_differences.R' 'finite_difference.R'
NeedsCompilation: no
Packaged: 2018-08-14 16:25:29 UTC; rickdale
Repository: CRAN
Date/Publication: 2018-08-16 09:30:02 UTC

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Package processx updated to version 3.2.0 with previous version 3.1.0 dated 2018-05-15

Title: Execute and Control System Processes
Description: Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once.
Author: Gábor Csárdi [aut, cre, cph] (<https://orcid.org/0000-0001-7098-9676>), Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between processx versions 3.1.0 dated 2018-05-15 and 3.2.0 dated 2018-08-16

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 59 files changed, 2152 insertions(+), 615 deletions(-)

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Package pkgconfig updated to version 2.0.2 with previous version 2.0.1 dated 2017-03-21

Title: Private Configuration for 'R' Packages
Description: Set configuration options on a per-package basis. Options set by a given package only apply to that package, other packages are unaffected.
Author: Gábor Csárdi
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between pkgconfig versions 2.0.1 dated 2017-03-21 and 2.0.2 dated 2018-08-16

 DESCRIPTION                     |   10 +++++-----
 MD5                             |   14 +++++++-------
 inst/NEWS.markdown              |    4 ++++
 inst/README.Rmd                 |   10 +++++-----
 inst/README.markdown            |   10 +++++-----
 tests/testthat/test-api.R       |   14 +++++++-------
 tests/testthat/test-globalenv.R |    4 ++--
 tests/testthat/tests.R          |   18 +++++++-----------
 8 files changed, 42 insertions(+), 42 deletions(-)

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New package lest with initial version 1.0.0
Type: Package
Package: lest
Title: Vectorised Nested if-else Statements Similar to CASE WHEN in 'SQL'
Version: 1.0.0
Authors@R: person("Stefan", "Fleck", email = "stefan.b.fleck@gmail.com", role = c("aut", "cre"))
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>
Description: Functions for vectorised conditional recoding of variables. case_when() enables you to vectorise multiple if and else statements (like 'CASE WHEN' in 'SQL'). if_else() is a stricter and more predictable version of ifelse() in 'base' that preserves attributes. These functions are forked from 'dplyr' with all package dependencies removed and behave identically to the originals.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-08-14 13:39:36 UTC; fleck
Author: Stefan Fleck [aut, cre]
Repository: CRAN
Date/Publication: 2018-08-16 09:20:06 UTC

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New package leanpubr with initial version 0.3.1
Package: leanpubr
Version: 0.3.1
Title: 'Leanpub' API Interface
Description: Provides access to the 'Leanpub' API <https://leanpub.com/help/api> for gathering information about publications and submissions to the 'Leanpub' platform.
Authors@R: person(given = "John", family = "Muschelli", role = c("aut", "cre"), email = "muschellij2@gmail.com")
License: GPL-3
Imports: httr, xml2, jsonlite
Suggests: knitr, rmarkdown, covr, testthat
Encoding: UTF-8
LazyData: true
ByteCompile: true
Type: Package
Maintainer: John Muschelli <muschellij2@gmail.com>
VignetteBuilder: knitr
URL: https://github.com/muschellij2/leanpubr
BugReports: https://github.com/muschellij2/leanpubr/issues
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-08-14 13:57:27 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Repository: CRAN
Date/Publication: 2018-08-16 09:30:05 UTC

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New package GenomicTools.fileHandler with initial version 0.1.2
Package: GenomicTools.fileHandler
Type: Package
Title: File Handlers for Genomic Data Analysis
Version: 0.1.2
Date: 2018-08-14
Author: Daniel Fischer
Maintainer: Daniel Fischer <daniel.fischer@luke.fi>
Description: A collection of I/O tools for handling the most commonly used genomic datafiles, like fasta/-q, bed, gff, gtf, ped/map and vcf.
Depends: R (>= 3.3), data.table (>= 1.9.6)
Imports: snpStats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
LazyLoad: yes
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-08-14 12:49:59 UTC; ejo138
Repository: CRAN
Date/Publication: 2018-08-16 09:20:09 UTC

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New package EM.Fuzzy with initial version 1.0
Package: EM.Fuzzy
Type: Package
Title: EM Algorithm for Maximum Likelihood Estimation by Non-Precise Information
Version: 1.0
Date: 2018-08-08
Author: Abbas Parchami (Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran)
Maintainer: Abbas Parchami <parchami@uk.ac.ir>
Description: The EM algorithm is a powerful tool for computing maximum likelihood estimates with incomplete data. This package will help to applying EM algorithm based on triangular and trapezoidal fuzzy numbers (as two kinds of incomplete data). A method is proposed for estimating the unknown parameter in a parametric statistical model when the observations are triangular or trapezoidal fuzzy numbers. This method is based on maximizing the observed-data likelihood defined as the conditional probability of the fuzzy data; for more details and formulas see Denoeux (2011) <doi:10.1016/j.fss.2011.05.022>.
License: LGPL (>= 3)
Imports: FuzzyNumbers, DISTRIB
NeedsCompilation: no
Packaged: 2018-08-14 14:09:33 UTC; Parchami
Repository: CRAN
Date/Publication: 2018-08-16 09:30:08 UTC

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Package CDM updated to version 6.5-12 with previous version 6.4-23 dated 2018-07-06

Title: Cognitive Diagnosis Modeling
Description: Functions for cognitive diagnosis modeling and multidimensional item response modeling for dichotomous and polytomous item responses. This package enables the estimation of the DINA and DINO model (Junker & Sijtsma, 2001, <doi:10.1177/01466210122032064>), the multiple group (polytomous) GDINA model (de la Torre, 2011, <doi:10.1007/s11336-011-9207-7>), the multiple choice DINA model (de la Torre, 2009, <doi:10.1177/0146621608320523>), the general diagnostic model (GDM; von Davier, 2008, <doi:10.1348/000711007X193957>), the structured latent class model (SLCA; Formann, 1992, <doi:10.1080/01621459.1992.10475229>) and regularized latent class analysis (Chen, Li, Liu, & Ying, 2017, <doi:10.1007/s11336-016-9545-6>). See George, Robitzsch, Kiefer, Gross, and Uenlue (2017) <doi:10.18637/jss.v074.i02> for further details on estimation and the package structure. For tutorials on how to use the CDM package see George and Robitzsch (2015, <doi:10.20982/tqmp.11.3.p189>) as well as Ravand and Robitzsch (2015).
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Ann Cathrice George [aut], Ali Uenlue [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between CDM versions 6.4-23 dated 2018-07-06 and 6.5-12 dated 2018-08-16

 DESCRIPTION                                             |    9 ++-
 MD5                                                     |   40 ++++++++--------
 NAMESPACE                                               |    4 +
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 src/init.c                                              |    2 
 22 files changed, 126 insertions(+), 70 deletions(-)

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New package bivariate with initial version 0.1.5
Package: bivariate
Title: Bivariate Probability Distributions
Version: 0.1.5
Date: 2018-08-16
Author: Abs Spurdle
Maintainer: Abs Spurdle <spurdle.a@gmail.com>
Description: Provides alternatives to persp() for plotting bivariate functions, including both step and continuous functions. Also, provides convenience functions for constructing and plotting bivariate probability distributions. Currently, only normal distributions are supported but other probability distributions are likely to be added in the near future.
License: GPL (>= 2)
Depends: mvtnorm
NeedsCompilation: no
Packaged: 2018-08-15 22:48:33 UTC; Student9
Repository: CRAN
Date/Publication: 2018-08-16 09:10:06 UTC

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Package cmvnorm updated to version 1.0-5 with previous version 1.0-3 dated 2015-11-24

Title: The Complex Multivariate Gaussian Distribution
Description: Various utilities for the complex multivariate Gaussian distribution.
Author: Robin K. S. Hankin
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between cmvnorm versions 1.0-3 dated 2015-11-24 and 1.0-5 dated 2018-08-16

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 9 files changed, 66 insertions(+), 59 deletions(-)

More information about cmvnorm at CRAN
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