Mon, 18 Mar 2019

Package eeptools updated to version 1.2.2 with previous version 1.2.1 dated 2018-10-21

Title: Convenience Functions for Education Data
Description: Collection of convenience functions to make working with administrative records easier and more consistent. Includes functions to clean strings, and identify cut points. Also includes three example data sets of administrative education records for learning how to process records with errors.
Author: Jason P. Becker [ctb], Jared E. Knowles [aut, cre]
Maintainer: Jared E. Knowles <jknowles@gmail.com>

Diff between eeptools versions 1.2.1 dated 2018-10-21 and 1.2.2 dated 2019-03-18

 DESCRIPTION                     |    9 
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 NEWS.md                         |    6 
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 inst/doc/intro.html             |  402 ++++++++++++++++++++--------------------
 man/crosstabplot.Rd             |    4 
 man/moves_calc.Rd               |    5 
 tests/testthat/test-statamode.r |  274 +++++++++++++--------------
 8 files changed, 372 insertions(+), 342 deletions(-)

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Package shinyWidgets updated to version 0.4.8 with previous version 0.4.7 dated 2019-03-12

Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], David Granjon [aut] (jQuery Knob shiny interface & sliders appearance), Ian Fellows [ctb] (Methods for mutating vertical tabs & updateMultiInput), Wil Davis [ctb] (numericRangeInput function), SnapAppointments [cph] (bootstrap-select), Mattia Larentis [ctb, cph] (Bootstrap Switch), Emanuele Marchi [ctb, cph] (Bootstrap Switch), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Flatlogic [cph] (Awesome Bootstrap Checkbox), mouse0270 [ctb, cph] (Material Design Switch), Tristan Edwards [ctb, cph] (SweetAlert), Fabian Lindfors [ctb, cph] (multi.js), Anthony Terrien [ctb, cph] (jQuery Knob), Daniel Eden [ctb, cph] (animate.css), Ganapati V S [ctb, cph] (bttn.css), Brian Grinstead [ctb, cph] (Spectrum), Lokesh Rajendran [ctb, cph] (pretty-checkbox), Leon Gersen [ctb, cph] (wnumb & noUiSlider), Timofey Marochkin [ctb, cph] (air-datepicker), Tobias Ahlin [ctb, cph] (CSS spin)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between shinyWidgets versions 0.4.7 dated 2019-03-12 and 0.4.8 dated 2019-03-18

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Package parglm updated to version 0.1.3 with previous version 0.1.2 dated 2019-03-14

Title: Parallel GLM
Description: Provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS.
Author: Benjamin Christoffersen [cre, aut], Anthony Williams [cph], Boost developers [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>

Diff between parglm versions 0.1.2 dated 2019-03-14 and 0.1.3 dated 2019-03-18

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 src/parallel_qr.cpp     |    3 +--
 7 files changed, 20 insertions(+), 18 deletions(-)

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Package ohtadstats updated to version 2.1.0 with previous version 2.0.0 dated 2018-08-30

Title: Tomoka Ohta D Statistics
Description: Calculate's Tomoka Ohta's partitioning of linkage disequilibrium, deemed D-statistics, for pairs of loci. Beissinger et al. (2016) <doi:10.1038/hdy.2015.81>.
Author: Paul F. Petrowski <pfpetrowski@mail.missouri.edu> & Timothy M. Beissinger <timbeissinger@gmail.com>
Maintainer: Paul F. Petrowski <pfpetrowski@mail.missouri.edu>

Diff between ohtadstats versions 2.0.0 dated 2018-08-30 and 2.1.0 dated 2019-03-18

 DESCRIPTION    |   10 +++++-----
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Package swmmr updated to version 0.9.0 with previous version 0.8.1 dated 2018-04-10

Title: R Interface for US EPA's SWMM
Description: Functions to connect the widely used Storm Water Management Model (SWMM) of the United States Environmental Protection Agency (US EPA) <https://www.epa.gov/water-research/storm-water-management-model-swmm> to R with currently two main goals: (1) Run a SWMM simulation from R and (2) provide fast access to simulation results, i.e. SWMM's binary '.out'-files. High performance is achieved with help of Rcpp. Additionally, reading SWMM's '.inp' and '.rpt' files is supported to glance model structures and to get direct access to simulation summaries.
Author: Dominik Leutnant [aut, cre] (<https://orcid.org/0000-0003-3293-2315>), Anneke Doering [aut], Malte Henrichs [ctb], Hauke Sonnenberg [ctb] (<https://orcid.org/0000-0001-9134-2871>)
Maintainer: Dominik Leutnant <leutnant@fh-muenster.de>

Diff between swmmr versions 0.8.1 dated 2018-04-10 and 0.9.0 dated 2019-03-18

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 swmmr-0.9.0/swmmr/DESCRIPTION                                                       |   26 
 swmmr-0.9.0/swmmr/MD5                                                               |  112 
 swmmr-0.9.0/swmmr/NAMESPACE                                                         |    4 
 swmmr-0.9.0/swmmr/NEWS.md                                                           |   34 
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 swmmr-0.9.0/swmmr/R/read_inp.R                                                      |   16 
 swmmr-0.9.0/swmmr/R/read_out.R                                                      |   59 
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 swmmr-0.9.0/swmmr/R/read_rpt.R                                                      |   50 
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 swmmr-0.9.0/swmmr/R/swmmr.R                                                         |    5 
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 swmmr-0.9.0/swmmr/R/write_inp.R                                                     |    2 
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 swmmr-0.9.0/swmmr/README.md                                                         |  101 
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 swmmr-0.9.0/swmmr/man/plot.Rd                                                       |only
 swmmr-0.9.0/swmmr/man/read_out.Rd                                                   |    3 
 swmmr-0.9.0/swmmr/man/run_swmm.Rd                                                   |   13 
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 swmmr-0.9.0/swmmr/man/shp_to_inp.Rd                                                 |    6 
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More information about swmmr at CRAN
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Package regsem updated to version 1.3.3 with previous version 1.2.3 dated 2019-01-02

Title: Regularized Structural Equation Modeling
Description: Uses both ridge and lasso penalties (and extensions) to penalize specific parameters in structural equation models. The package offers additional cost functions, cross validation, and other extensions beyond traditional structural equation models. Also contains a function to perform exploratory mediation (XMed).
Author: Ross Jacobucci[aut,cre], Kevin J. Grimm [ctb], Andreas M. Brandmaier [ctb], Sarfaraz Serang [ctb], Rogier A. Kievit [ctb], Florian Scharf [ctb]
Maintainer: Ross Jacobucci <rcjacobuc@gmail.com>

Diff between regsem versions 1.2.3 dated 2019-01-02 and 1.3.3 dated 2019-03-18

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 NAMESPACE                   |   67 -
 R/RAMmult.R                 |   56 -
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 R/fiml_calc2.R              |  204 +--
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 53 files changed, 7051 insertions(+), 7008 deletions(-)

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Package msm updated to version 1.6.7 with previous version 1.6.6 dated 2018-02-02

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

Diff between msm versions 1.6.6 dated 2018-02-02 and 1.6.7 dated 2019-03-18

 DESCRIPTION                           |    8 +--
 MD5                                   |   50 +++++++++++-----------
 NAMESPACE                             |    2 
 R/boot.R                              |    5 +-
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 src/hmmderiv.c                        |   56 +++++++++++++++++++++++++
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 tests/testthat/test_deriv.r           |   20 ++++++++-
 tests/testthat/test_models.r          |    5 +-
 tests/testthat/test_models_hmmmulti.r |    7 ++-
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 vignettes/msm-manual.Rnw              |   31 ++++++++++----
 26 files changed, 259 insertions(+), 90 deletions(-)

More information about msm at CRAN
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Package xtensor updated to version 0.10.1-0 with previous version 0.9.0-0 dated 2018-12-12

Title: Headers for the 'xtensor' Library
Description: The 'xtensor' C++ library for numerical analysis with multi-dimensional array expressions is provided as a header-only C++14 library. It offers an extensible expression system enabling lazy broadcasting; an API following the idioms of the C++ standard library; and tools to manipulate array expressions and build upon 'xtensor'.
Author: Johan Mabille, Sylvain Corlay and Wolf Vollprecht
Maintainer: Sylvain Corlay <sylvain.corlay@gmail.com>

Diff between xtensor versions 0.9.0-0 dated 2018-12-12 and 0.10.1-0 dated 2019-03-18

 xtensor-0.10.1-0/xtensor/DESCRIPTION                                         |    8 
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 xtensor-0.10.1-0/xtensor/inst/include/xtensor/xiterable.hpp                  |  220 +-
 xtensor-0.10.1-0/xtensor/inst/include/xtensor/xiterator.hpp                  |    4 
 xtensor-0.10.1-0/xtensor/inst/include/xtensor/xmanipulation.hpp              |    5 
 xtensor-0.10.1-0/xtensor/inst/include/xtensor/xmasked_value.hpp              |    2 
 xtensor-0.10.1-0/xtensor/inst/include/xtensor/xmath.hpp                      |  176 +-
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Package wsyn updated to version 1.0.1 with previous version 1.0.0 dated 2019-01-22

Title: Wavelet Approaches to Studies of Synchrony in Ecology and Other Fields
Description: Tools for a wavelet-based approach to analyzing spatial synchrony, principally in ecological data. Some tools will be useful for studying community synchrony. See, for instance, Sheppard et al (2016) <doi: 10.1038/NCLIMATE2991>, Sheppard et al (2017) <doi: 10.1051/epjnbp/2017000>, Sheppard et al (2019) <doi: 10.1371/journal.pcbi.1006744>.
Author: Daniel C. Reuman [aut, cre], Thomas L. Anderson [aut], Jonathan A. Walter [aut], Lei Zhao [aut], Lawrence W. Sheppard [aut]
Maintainer: Daniel C. Reuman <reuman@ku.edu>

Diff between wsyn versions 1.0.0 dated 2019-01-22 and 1.0.1 dated 2019-03-18

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 R/cleandat.R                                                           |    2 
 R/clust_methods.R                                                      |    4 
 R/plotmag.R                                                            |    6 
 R/plotphase.R                                                          |    2 
 R/plotrank.R                                                           |    6 
 R/predsync.R                                                           |    2 
 R/print.summary_wsyn.R                                                 |    6 
 R/syncexpl.R                                                           |    2 
 R/wlm.R                                                                |    2 
 R/wlmfit.R                                                             |    2 
 R/wlmtest.R                                                            |    2 
 R/wpmf.R                                                               |    2 
 README.md                                                              |    2 
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 man/cleandat.Rd                                                        |    2 
 man/plotmag.Rd                                                         |    2 
 man/plotrank.Rd                                                        |    2 
 man/predsync.Rd                                                        |    2 
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 man/syncexpl.Rd                                                        |    2 
 man/wlm.Rd                                                             |    2 
 man/wlmfit.Rd                                                          |    2 
 man/wlmtest.Rd                                                         |    2 
 man/wpmf.Rd                                                            |    2 
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Package rmatio updated to version 0.14.0 with previous version 0.13.0 dated 2019-03-10

Title: Read and Write 'Matlab' Files
Description: Read and write 'Matlab' MAT files from R. The 'rmatio' package supports reading MAT version 4, MAT version 5 and MAT compressed version 5. The 'rmatio' package can write version 5 MAT files and version 5 files with variable compression.
Author: Stefan Widgren [aut, cre] (Author of the R interface to the C-library matio), Christopher Hulbert [aut] (Author of the C-library matio, http://sourceforge.net/projects/matio/)
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

Diff between rmatio versions 0.13.0 dated 2019-03-10 and 0.14.0 dated 2019-03-18

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New package rdefra with initial version 0.3.6
Package: rdefra
Title: Interact with the UK AIR Pollution Database from DEFRA
Version: 0.3.6
Authors@R: c(person(given = "Claudia", family = "Vitolo", role = c("aut", "cre"), email = "cvitolodev@gmail.com", comment = c(ORCID = "0000-0002-4252-1176")), person("Andrew", "Russell", role = c("ctb"), comment = "This package is part of the KEHRA project and Andrew supervised the technical/software development."), person("Allan", "Tucker", role = c("ctb"), comment = "This package is part of the KEHRA project and Allan supervised the technical/software development."), person("Maëlle", "Salmon", role = c("ctb"), comment = "Maëlle Salmon reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/68"), person("Hao", "Zhu", role = c("ctb"), comment = "Hao Zhu reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/68"))
Maintainer: Claudia Vitolo <cvitolodev@gmail.com>
URL: https://github.com/ropensci/rdefra
BugReports: https://github.com/ropensci/rdefra/issues
Description: Get data from DEFRA's UK-AIR website <https://uk-air.defra.gov.uk/>. It basically scrapes the HTML content.
Depends: R (>= 2.10)
Imports: lubridate, tibble, httr, xml2, dplyr, sp, rgdal
Suggests: testthat, leaflet, parallel, rmarkdown, knitr, ggplot2, zoo, lintr, pkgdown
VignetteBuilder: knitr
LazyData: true
Encoding: UTF-8
License: GPL-3
Repository: CRAN
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-18 19:08:55 UTC; claudia
Author: Claudia Vitolo [aut, cre] (<https://orcid.org/0000-0002-4252-1176>), Andrew Russell [ctb] (This package is part of the KEHRA project and Andrew supervised the technical/software development.), Allan Tucker [ctb] (This package is part of the KEHRA project and Allan supervised the technical/software development.), Maëlle Salmon [ctb] (Maëlle Salmon reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/68), Hao Zhu [ctb] (Hao Zhu reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/68)
Date/Publication: 2019-03-18 20:00:11 UTC

More information about rdefra at CRAN
Permanent link

Package TAM updated to version 3.1-45 with previous version 3.0-21 dated 2018-12-10

Title: Test Analysis Modules
Description: Includes marginal maximum likelihood estimation and joint maximum likelihood estimation for unidimensional and multidimensional item response models. The package functionality covers the Rasch model, 2PL model, 3PL model, generalized partial credit model, multi-faceted Rasch model, nominal item response model, structured latent class model, mixture distribution IRT models, and located latent class models. Latent regression models and plausible value imputation are also supported. For details see Adams, Wilson and Wang, 1997 <doi:10.1177/0146621697211001>, Adams, Wilson and Wu, 1997 <doi:10.3102/10769986022001047>, Formann, 1982 <doi:10.1002/bimj.4710240209>, Formann, 1992 <doi:10.1080/01621459.1992.10475229>.
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between TAM versions 3.0-21 dated 2018-12-10 and 3.1-45 dated 2019-03-18

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More information about TAM at CRAN
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Package reproducible updated to version 0.2.8 with previous version 0.2.7 dated 2019-03-07

Title: A Set of Tools that Enhance Reproducibility Beyond Package Management
Description: Collection of high-level, robust, machine- and OS-independent tools for making deeply reproducible and reusable content in R. This includes light weight package management (similar to 'packrat' and 'checkpoint', but more flexible, lightweight and simpler than both), tools for caching, downloading and verifying or writing checksums, post-processing of common spatial datasets, and accessing GitHub repositories. Some features are still under active development.
Author: Eliot J B McIntire [aut, cre] (<https://orcid.org/0000-0002-6914-8316>), Alex M Chubaty [aut] (<https://orcid.org/0000-0001-7146-8135>), Tati Micheletti [ctb] (<https://orcid.org/0000-0003-4838-8342>), Ceres Barros [ctb] (<https://orcid.org/0000-0003-4036-977X>), Ian Eddy [ctb] (<https://orcid.org/0000-0001-7397-2116>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

Diff between reproducible versions 0.2.7 dated 2019-03-07 and 0.2.8 dated 2019-03-18

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More information about reproducible at CRAN
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Package flexsurv updated to version 1.1.1 with previous version 1.1 dated 2017-03-27

Title: Flexible Parametric Survival and Multi-State Models
Description: Flexible parametric models for time-to-event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions. Any user-defined parametric distribution can be fitted, given at least an R function defining the probability density or hazard. There are also tools for fitting and predicting from fully parametric multi-state models.
Author: Christopher Jackson [aut, cre], Paul Metcalfe [ctb], Jordan Amdahl [ctb]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

Diff between flexsurv versions 1.1 dated 2017-03-27 and 1.1.1 dated 2019-03-18

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More information about flexsurv at CRAN
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Package CDM updated to version 7.3-17 with previous version 7.2-30 dated 2019-02-08

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 7.2-30 dated 2019-02-08 and 7.3-17 dated 2019-03-18

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New package RoundAndRound with initial version 0.0.1
Package: RoundAndRound
Title: Plot Objects Moving in Orbits
Version: 0.0.1
Authors@R: person("Lele", "Shu", email = "lele.shu@gmail.com", role = c("aut", "cre"))
Maintainer: Lele Shu <lele.shu@gmail.com>
Description: Visualize the objects in orbits in 2D and 3D. The packages is under developing to plot the orbits of objects in polar coordinate system. See the examples in demo.
Depends: R (>= 3.0.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: geometry, methods, graphics, rgl
NeedsCompilation: yes
Packaged: 2019-03-15 17:55:18 UTC; leleshu
Author: Lele Shu [aut, cre]
Repository: CRAN
Date/Publication: 2019-03-18 17:33:41 UTC

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New package PoA with initial version 1.2.1
Package: PoA
Type: Package
Title: Finds the Price of Anarchy for Routing Games
Version: 1.2.1
Author: Hector Haffenden
Maintainer: Hector Haffenden <haffendenh@cardiff.ac.uk>
Description: Computes the optimal flow, Nash flow and the Price of Anarchy for any routing game defined within the game theoretical framework. The input is a routing game in the form of it’s cost and flow functions. Then transforms this into an optimisation problem, allowing both Nash and Optimal flows to be solved by nonlinear optimisation. See <https://en.wikipedia.org/wiki/Congestion_game> and Knight and Harper (2013) <doi:10.1016/j.ejor.2013.04.003> for more information.
Imports: stats, dplyr, tibble, pracma, nloptr,
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2019-03-15 17:46:41 UTC; hectorhaffenden
Repository: CRAN
Date/Publication: 2019-03-18 17:33:45 UTC

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New package oppr with initial version 0.0.1
Package: oppr
Type: Package
Version: 0.0.1
Title: Optimal Project Prioritization
Description: A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phylogenetic diversity, the number of features that meet persistence targets, or identifying a set of projects that meet persistence targets for minimal cost. Constraints (e.g. lock in specific actions) and feature weights can also be specified to further customize prioritizations. After defining a project prioritization problem, solutions can be obtained using exact algorithms, heuristic algorithms, or random processes. In particular, it is recommended to install the 'Gurobi' optimizer (available from <https://www.gurobi.com>) because it can identify optimal solutions very quickly. Finally, methods are provided for comparing different prioritizations and evaluating their benefits.
Authors@R: c(person(c('Jeffrey', 'O'), 'Hanson', email='jeffrey.hanson@uqconnect.edu.au', role = c('aut', 'cre')), person(c('Richard'), 'Schuster', email='mail@richard-schuster.com', role = c('aut')), person(c('Matthew'), 'Strimas-Mackey', email='mstrimas@gmail.com', role = c('aut')), person(c('Joeseph'), 'Bennett', email='joseph.bennett@carleton.ca', role = c('aut')))
Imports: utils, methods, stats, Matrix, magrittr (>= 1.5), uuid (>= 0.1.2), proto (>= 1.0.0), cli (>= 1.0.1), assertthat (>= 0.2.0), tibble (>= 2.0.0), ape (>= 5.2), tidytree (>= 0.1.9), ggplot2 (>= 3.0.0), viridisLite (>= 0.3.0), lpSolveAPI (>= 5.5.2.0.17),
Suggests: testthat (>= 2.0.0), knitr (>= 1.20), roxygen2 (>= 6.1.0), rmarkdown (>= 1.10), gurobi (>= 8.0.0), ggtree (>= 1.8.2), Rsymphony (>= 0.1.28), lpsymphony (>= 1.10.0), shiny (>= 1.2.0), rhandsontable (>= 0.3.7), tidyr (>= 0.8.2)
Depends: R(>= 3.4.0)
LinkingTo: Rcpp (>= 0.12.19), RcppArmadillo (>= 0.9.100.5.0), RcppProgress (>= 0.4.1)
License: GPL-3
LazyData: true
SystemRequirements: C++11
URL: https://prioritizr.github.io/oppr, https://github.com/prioritizr/oppr
BugReports: https://github.com/prioritizr/oppr/issues
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Collate: 'internal.R' 'pproto.R' 'Parameter-proto.R' 'ArrayParameter-proto.R' 'MiscParameter-proto.R' 'Parameters-proto.R' 'ScalarParameter-proto.R' 'parameters.R' 'waiver.R' 'ProjectModifier-proto.R' 'Constraint-proto.R' 'Collection-proto.R' 'Decision-proto.R' 'Id.R' 'Objective-proto.R' 'OptimizationProblem-proto.R' 'OptimizationProblem-methods.R' 'ProjectProblem-proto.R' 'RcppExports.R' 'Solver-proto.R' 'Target-proto.R' 'Weight-proto.R' 'action_names.R' 'add_absolute_targets.R' 'add_binary_decisions.R' 'add_default_solver.R' 'add_feature_weights.R' 'add_gurobi_solver.R' 'add_heuristic_solver.R' 'add_locked_in_constraints.R' 'add_locked_out_constraints.R' 'add_lpsolveapi_solver.R' 'add_lpsymphony_solver.R' 'tbl_df.R' 'add_manual_targets.R' 'add_manual_locked_constraints.R' 'add_max_phylo_div_objective.R' 'star_phylogeny.R' 'add_max_richness_objective.R' 'add_max_targets_met_objective.R' 'add_min_set_objective.R' 'add_random_solver.R' 'add_relative_targets.R' 'add_rsymphony_solver.R' 'branch_matrix.R' 'compile.R' 'constraints.R' 'data.R' 'decisions.R' 'feature_names.R' 'magrittr-operators.R' 'misc.R' 'new_optimization_problem.R' 'number_of_actions.R' 'number_of_features.R' 'number_of_projects.R' 'objectives.R' 'package.R' 'solution_statistics.R' 'plot.R' 'plot_feature_persistence.R' 'plot_phylo_persistence.R' 'predefined_optimization_problem.R' 'print.R' 'problem.R' 'project_cost_effectiveness.R' 'project_names.R' 'rake_phylogeny.R' 'replacement_costs.R' 'show.R' 'simulate_ppp_data.R' 'simulate_ptm_data.R' 'solve.R' 'solvers.R' 'targets.R' 'weights.R' 'zzz.R'
NeedsCompilation: yes
Packaged: 2019-03-15 16:59:09 UTC; jeff
Author: Jeffrey O Hanson [aut, cre], Richard Schuster [aut], Matthew Strimas-Mackey [aut], Joeseph Bennett [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>
Repository: CRAN
Date/Publication: 2019-03-18 17:30:03 UTC

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Package catlearn updated to version 0.6.2 with previous version 0.6.1 dated 2019-02-18

Title: Formal Psychological Models of Categorization and Learning
Description: Formal psychological models of categorization and learning, independently-replicated data sets against which to test them, and simulation archives.
Author: Andy Wills, Lenard Dome, Charlotte Edmunds, Garrett Honke, Angus Inkster, René Schlegelmilch, Stuart Spicer
Maintainer: Andy Wills <andy@willslab.co.uk>

Diff between catlearn versions 0.6.1 dated 2019-02-18 and 0.6.2 dated 2019-03-18

 DESCRIPTION      |    8 ++++----
 MD5              |    6 +++---
 README.md        |    2 +-
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New package tcie with initial version 0.1
Package: tcie
Type: Package
Title: Topologically Correct Isosurface Extraction
Version: 0.1
Date: 2019-03-04
Author: Lis Custódio
Maintainer: Lis Custódio <liscustodio.uerj@gmail.com>
URL: http://liscustodio.github.io/
Description: Isosurfaces extraction algorithms are a powerful tool in the interpretation of volumetric data. The isosurfaces play an important role in several scientific fields, such as biology, medicine, chemistry and computational fluid dynamics. And, for the data to be correctly interpreted, it is crucial that the isosurface be correctly represented. The Marching Cubes algorithm, proposed by Lorensen and Cline <doi:10.1145/37401.37422> in 1987, is clearly one of the most popular isosurface extraction algorithms, and an important tool for many visualization specialists and researchers. The generalized adoption of the Marching Cubes has resulted in many improvements in its algorithm, including, the establishment of the topological correctness of the generated mesh. In 2013, Custodio et al. <doi:10.1016/j.cag.2013.04.004> noted and corrected algorithmic inaccuracies that compromised the topological correctness of the mesh generated by the last version of the Marching Cubes Algorithm: the Marching Cubes 33 proposed by Chernyaev in 1995, implemented in 2003 by Lewiner et al. <doi:10.1080/10867651.2003.10487582>. In 2019, Custodio et al. (in the work An Extended Triangulation to the Marching Cubes 33 Algorithm) proposed an extended triangulation to the Marching Cubes 33 algorithm, in the proposed algorithm the grid vertex are labeled with "+", "-" and "=", according to the relationship between its scalar field value and the isovalue.The inclusion of the "=" grid vertex label naturally avoids degenerate triangles, a well-known issue in meshes generated by the Marching Cubes. The Marching Cubes algorithm has been implemented using many software programs and compilers: C++, proposed by Lewiner et al. (2003); 'MATLAB', proposed by Hammer (2011); and R, proposed by Feng and Tierney (2008). Marching Cubes is also integrated into many visualization toolkits. The complexity of an algorithm increases considerably when it aims to reproduce the topology of the trilinear interpolant correctly. This complexity can sometimes result in errors in the algorithm or in its implementation. During our experiments we observe that all the implementations mentioned have critical issues that compromise the continuity and the topological correctness of the generated mesh. The 'tcie' package is a toolkit with a topologically correct implementation of the Marching Cubes algorithm, based on the Custodio et al. work, which implements the most recent improvements of the algorithm.
LazyData: TRUE
LinkingTo: Rcpp,RcppArmadillo
Imports: nat(>= 1.8.11), rgl(>= 0.99.9), Rvcg (>= 0.17)
Depends: R (>= 3.2.3)
RoxygenNote: 6.1.1
License: GPL
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-03-17 00:32:22 UTC; lis
Repository: CRAN
Date/Publication: 2019-03-18 17:00:03 UTC

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New package STraTUS with initial version 1.1
Package: STraTUS
Title: Enumeration and Uniform Sampling of Transmission Trees for a Known Phylogeny
Version: 1.1
Authors@R: c(person("Matthew", "Hall", email = "matthew.hall@bdi.ox.ac.uk", role = c("aut", "cre")), person("Caroline", "Colijn", role = c("ctb")))
Author: Matthew Hall [aut, cre], Caroline Colijn [ctb]
Maintainer: Matthew Hall <matthew.hall@bdi.ox.ac.uk>
Description: For a single, known pathogen phylogeny, provides functions for enumeration of the set of compatible epidemic transmission trees, and for uniform sampling from that set. Optional arguments allow for incomplete sampling with a known number of missing individuals, multiple sampling, and known infection time limits. Always assumed are a complete transmission bottleneck and no superinfection or reinfection. See Hall and Colijn <doi:10.1101/160812> for methodology.
Depends: R (>= 3.4)
Imports: ape, phangorn, igraph, gmp, gtools, ggplot2, ggtree (>= 1.14.6), RcppAlgos, stats
License: GPL
URL: http://github.com/mdhall272/STraTUS/
Encoding: UTF-8
RoxygenNote: 6.1.1
LazyData: TRUE
NeedsCompilation: no
Packaged: 2019-03-13 17:25:13 UTC; mdhall
Repository: CRAN
Date/Publication: 2019-03-18 16:23:22 UTC

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Package Rmosek updated to version 1.3.3 with previous version 1.3.2 dated 2019-02-15

Title: The R to MOSEK Optimization Interface
Description: This is a generic meta-package designed to make the optimization facilities of MOSEK available from the R-language. The interface supports large-scale optimization of many kinds: Mixed-integer and continuous linear, second-order cone, exponential cone and power cone optimization, as well as continuous semidefinite optimization. Rmosek and the R-language are open-source projects. MOSEK is a proprietary product, but unrestricted trial and academic licenses are available.
Author: MOSEK ApS
Maintainer: Henrik A. Friberg <haf@mosek.com>

Diff between Rmosek versions 1.3.2 dated 2019-02-15 and 1.3.3 dated 2019-03-18

 DESCRIPTION |    6 ++--
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Package popEpi updated to version 0.4.7 with previous version 0.4.6 dated 2019-02-14

Title: Functions for Epidemiological Analysis using Population Data
Description: Enables computation of epidemiological statistics, including those where counts or mortality rates of the reference population are used. Currently supported: excess hazard models, rates, mean survival times, relative survival, and standardized incidence and mortality ratios (SIRs/SMRs), all of which can be easily adjusted for by covariates such as age. Fast splitting and aggregation of 'Lexis' objects (from package 'Epi') and other computations achieved using 'data.table'.
Author: Joonas Miettinen [aut, cre], Matti Rantanen [aut], Karri Seppa [ctb]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>

Diff between popEpi versions 0.4.6 dated 2019-02-14 and 0.4.7 dated 2019-03-18

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 inst/doc/sir.R                                          |  128 
 inst/doc/sir.Rmd                                        |  318 -
 inst/doc/sir.html                                       |  737 ++--
 inst/doc/survtab_examples.R                             |  340 -
 inst/doc/survtab_examples.Rmd                           |  592 +--
 inst/doc/survtab_examples.html                          |  959 ++---
 man/ICSS.Rd                                             |   76 
 man/Lexis_fpa.Rd                                        |  164 
 man/RPL.Rd                                              |   44 
 man/adjust.Rd                                           |   48 
 man/aggre.Rd                                            |  372 +-
 man/all_names_present.Rd                                |   62 
 man/as.Date.yrs.Rd                                      |   84 
 man/as.aggre.Rd                                         |  154 
 man/as.data.frame.ratetable.Rd                          |   66 
 man/as.data.table.ratetable.Rd                          |   68 
 man/cast_simple.Rd                                      |  100 
 man/cut_bound.Rd                                        |   56 
 man/direct_standardization.Rd                           |  312 -
 man/fac2num.Rd                                          |   80 
 man/flexible_argument.Rd                                |  336 -
 man/get.yrs.Rd                                          |  156 
 man/is.Date.Rd                                          |   82 
 man/is_leap_year.Rd                                     |   56 
 man/lexpand.Rd                                          |  742 ++--
 man/lines.sirspline.Rd                                  |   86 
 man/lines.survmean.Rd                                   |   72 
 man/lines.survtab.Rd                                    |  122 
 man/longDF2ratetable.Rd                                 |   60 
 man/lower_bound.Rd                                      |   36 
 man/ltable.Rd                                           |  290 -
 man/makeWeightsDT.Rd                                    |  306 -
 man/meanpop_fi.Rd                                       |   60 
 man/na2zero.Rd                                          |   54 
 man/plot.rate.Rd                                        |   68 
 man/plot.sir.Rd                                         |  140 
 man/plot.sirspline.Rd                                   |   94 
 man/plot.survmean.Rd                                    |   78 
 man/plot.survtab.Rd                                     |  128 
 man/poisson.ci.Rd                                       |   52 
 man/popEpi.Rd                                           |   68 
 man/pophaz.Rd                                           |  118 
 man/popmort.Rd                                          |   64 
 man/prepExpo.Rd                                         |  210 -
 man/print.aggre.Rd                                      |   54 
 man/print.rate.Rd                                       |   48 
 man/print.survtab.Rd                                    |   68 
 man/rate.Rd                                             |  220 -
 man/rate_ratio.Rd                                       |  142 
 man/relpois.Rd                                          |  238 -
 man/relpois_ag.Rd                                       |  192 -
 man/robust_values.Rd                                    |  102 
 man/rpcurve.Rd                                          |  144 
 man/setaggre.Rd                                         |  106 
 man/setclass.Rd                                         |   54 
 man/setcolsnull.Rd                                      |   64 
 man/sibr.Rd                                             |   80 
 man/sir.Rd                                              |  396 +-
 man/sir_exp.Rd                                          |  208 -
 man/sir_ratio.Rd                                        |  164 
 man/sire.Rd                                             |   78 
 man/sirspline.Rd                                        |  286 -
 man/splitLexisDT.Rd                                     |  178 
 man/splitMulti.Rd                                       |  276 -
 man/stdpop101.Rd                                        |   58 
 man/stdpop18.Rd                                         |   62 
 man/summary.aggre.Rd                                    |   66 
 man/summary.survtab.Rd                                  |  192 -
 man/survmean.Rd                                         |  564 +--
 man/survtab.Rd                                          |  620 +--
 man/survtab_ag.Rd                                       |  786 ++--
 man/try2int.Rd                                          |   54 
 tests/testthat.R                                        |   26 
 tests/testthat/test_aggre.R                             |  454 +-
 tests/testthat/test_epi.R                               |   70 
 tests/testthat/test_expo.R                              |   98 
 tests/testthat/test_lexpand.R                           |  744 ++--
 tests/testthat/test_prevtab.R                           |   40 
 tests/testthat/test_rate.R                              |  624 +--
 tests/testthat/test_relpois_mean_curve.R                |  136 
 tests/testthat/test_sir.R                               |  882 ++--
 tests/testthat/test_splitLexisDT.R                      |  264 -
 tests/testthat/test_splitMulti.R                        |  290 -
 tests/testthat/test_splitting_attributes.R              |  188 -
 tests/testthat/test_splitting_breaks.R                  |  160 
 tests/testthat/test_splitting_randomly_on_fixed_data.R  |  280 -
 tests/testthat/test_splitting_randomly_on_random_data.R |  118 
 tests/testthat/test_survmean.R                          |  604 +--
 tests/testthat/test_survtab_adjusted.R                  |  152 
 tests/testthat/test_survtab_bad_surv_ints.R             |  190 -
 tests/testthat/test_survtab_observed.R                  |  284 -
 tests/testthat/test_survtab_relative.R                  |  392 +-
 tests/testthat/test_survtab_usage.R                     |  960 ++---
 tests/testthat/test_utils.R                             |  968 ++---
 tests/testthat/test_weighter.R                          |  278 -
 vignettes/sir.Rmd                                       |  318 -
 vignettes/survtab_examples.Rmd                          |  592 +--
 134 files changed, 27397 insertions(+), 27396 deletions(-)

More information about popEpi at CRAN
Permanent link

New package nzilbb.labbcat with initial version 0.1-1
Package: nzilbb.labbcat
Version: 0.1-1
Date: 2019-03-05
Title: Accessing Data Stored in 'LaBB-CAT' Instances
Authors@R: c(person("Robert", "Fromont", role = c("aut", "cre"), email = "robert.fromont@canterbury.ac.nz"))
Imports: jsonlite, httr, stringr
Description: 'LaBB-CAT' is a web-based language corpus management system developed by the New Zealand Institute of Language, Brain and Behaviour (NZILBB) - see <https://labbcat.canterbury.ac.nz>. This package defines functions for accessing corpus data in a 'LaBB-CAT' instance. For more information about 'LaBB-CAT', see Robert Fromont and Jennifer Hay (2008) <doi:10.3366/E1749503208000142> or Robert Fromont (2017) <doi:10.1016/j.csl.2017.01.004>.
License: GPL (>= 3)
Copyright: New Zealand Institute of Language, Brain and Behaviour, University of Canterbury
URL: https://github.com/nzilbb/labbcat-R, https://labbcat.canterbury.ac.nz
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-15 17:55:34 UTC; robert
Author: Robert Fromont [aut, cre]
Maintainer: Robert Fromont <robert.fromont@canterbury.ac.nz>
Repository: CRAN
Date/Publication: 2019-03-18 16:50:14 UTC

More information about nzilbb.labbcat at CRAN
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New package nlrx with initial version 0.1.0
Package: nlrx
Type: Package
Title: Setup, Run and Analyze 'NetLogo' Model Simulations from 'R' via 'XML'
Version: 0.1.0
Authors@R: c(person("Jan", "Salecker", email = "jsaleck@gwdg.de", role = c("aut", "cre"), comment = c(ORCID = '0000-0002-9000-4229')), person("Marco", "Sciaini", email = "sciaini.marco@gmail.com", role = c("aut"), comment = c(ORCID = '0000-0002-3042-5435')), person("Marina", "Papadopoulou", role = "rev", comment = "Marina reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/262>"))
Maintainer: Jan Salecker <jsaleck@gwdg.de>
Description: The purpose of this package is to provide tools to setup, run and analyze 'NetLogo' (<https://ccl.northwestern.edu/netlogo/>) model simulations in 'R'. 'nlrx' experiments use a similar structure as 'NetLogos' Behavior Space experiments. However, 'nlrx' offers more flexibility and additional tools for running and analyzing complex simulation designs and sensitivity analyses. The user defines all information that is needed in an intuitive framework, using class objects. Experiments are submitted from 'R' to 'NetLogo' via 'XML' files that are dynamically written, based on specifications defined by the user. By nesting model calls in future environments, large simulation design with many runs can be executed in parallel. This also enables simulating 'NetLogo' experiments on remote HPC machines. In order to use this package, 'Java' and 'NetLogo' (>= 5.3.1) need to be available on the executing system.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/nldoc/nlrx/
BugReports: https://github.com/nldoc/nlrx/issues/
Imports: XML, lhs, sensitivity, dplyr, readr, purrr, furrr, magrittr, stats, utils, GenSA, genalg, raster, rstudioapi, sf, tidyr, methods, tibble, igraph, stringr
Depends: R (>= 3.3)
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
SystemRequirements: 'NetLogo' (>= 5.3.1), 'Java' (JDK 1.8)
NeedsCompilation: no
Packaged: 2019-03-15 20:38:14 UTC; Tyr
Author: Jan Salecker [aut, cre] (<https://orcid.org/0000-0002-9000-4229>), Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>), Marina Papadopoulou [rev] (Marina reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/262>)
Repository: CRAN
Date/Publication: 2019-03-18 16:50:22 UTC

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Package multicolor updated to version 0.1.2 with previous version 0.1.1 dated 2018-09-25

Title: Add Multiple Colors to your Console Output
Description: Add multiple colors to text that is printed to the console.
Author: Amanda Dobbyn [aut, cre], Hernando Cortina [aut] (<https://orcid.org/0000-0001-6790-4870>)
Maintainer: Amanda Dobbyn <amanda.e.dobbyn@gmail.com>

Diff between multicolor versions 0.1.1 dated 2018-09-25 and 0.1.2 dated 2019-03-18

 DESCRIPTION                      |   18 ++++++++++--------
 MD5                              |   34 +++++++++++++++++++++++-----------
 NAMESPACE                        |    4 ++++
 NEWS.md                          |    6 ++++++
 R/crawl.R                        |    4 ++--
 R/logo.R                         |only
 R/multi_color.R                  |   25 +++++++++++++++++--------
 R/newhope.R                      |only
 R/textshapes.R                   |only
 R/utils.R                        |    7 +++++++
 R/zzz.R                          |    5 ++++-
 README.md                        |   32 ++++++++++++++++++++------------
 build                            |only
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 man/things.Rd                    |    2 +-
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 tests/testthat/test-multicolor.R |   27 +++++++++++++++------------
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 22 files changed, 110 insertions(+), 56 deletions(-)

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Package lavaSearch2 updated to version 1.5.3 with previous version 1.4.1 dated 2018-11-20

Title: Tools for Model Specification in the Latent Variable Framework
Description: Tools for model specification in the latent variable framework (add-on to the 'lava' package). The package contains three main functionalities: Wald tests/F-tests with improved control of the type 1 error in small samples, adjustment for multiple comparisons when searching for local dependencies, and adjustment for multiple comparisons when doing inference for multiple latent variable models.
Author: Brice Ozenne [aut, cre] (<https://orcid.org/0000-0001-9694-2956>)
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

Diff between lavaSearch2 versions 1.4.1 dated 2018-11-20 and 1.5.3 dated 2019-03-18

 lavaSearch2-1.4.1/lavaSearch2/man/estfun.lvmfit.Rd                          |only
 lavaSearch2-1.5.3/lavaSearch2/DESCRIPTION                                   |   21 
 lavaSearch2-1.5.3/lavaSearch2/MD5                                           |  117 +-
 lavaSearch2-1.5.3/lavaSearch2/NAMESPACE                                     |   20 
 lavaSearch2-1.5.3/lavaSearch2/NEWS                                          |    9 
 lavaSearch2-1.5.3/lavaSearch2/R/0onload.R                                   |    7 
 lavaSearch2-1.5.3/lavaSearch2/R/RcppExports.R                               |only
 lavaSearch2-1.5.3/lavaSearch2/R/Utils-formula.R                             |only
 lavaSearch2-1.5.3/lavaSearch2/R/Utils-nlme.R                                |   69 +
 lavaSearch2-1.5.3/lavaSearch2/R/calcDistMax.R                               |    8 
 lavaSearch2-1.5.3/lavaSearch2/R/calcType1postSelection.R                    |    8 
 lavaSearch2-1.5.3/lavaSearch2/R/calibrateType1.R                            |  488 ++++++----
 lavaSearch2-1.5.3/lavaSearch2/R/clean.R                                     |only
 lavaSearch2-1.5.3/lavaSearch2/R/compare2.R                                  |  311 ++++--
 lavaSearch2-1.5.3/lavaSearch2/R/conditionalMoment.R                         |    9 
 lavaSearch2-1.5.3/lavaSearch2/R/createContrast.R                            |   32 
 lavaSearch2-1.5.3/lavaSearch2/R/effects2.R                                  |only
 lavaSearch2-1.5.3/lavaSearch2/R/estimate2.R                                 |   50 -
 lavaSearch2-1.5.3/lavaSearch2/R/getVarCov2.R                                |   17 
 lavaSearch2-1.5.3/lavaSearch2/R/iid2.R                                      |    2 
 lavaSearch2-1.5.3/lavaSearch2/R/information2.R                              |  274 +++++
 lavaSearch2-1.5.3/lavaSearch2/R/initVarlink.R                               |  110 --
 lavaSearch2-1.5.3/lavaSearch2/R/lavaSearch2-package.R                       |    2 
 lavaSearch2-1.5.3/lavaSearch2/R/leverage.R                                  |    8 
 lavaSearch2-1.5.3/lavaSearch2/R/methods-modelsearch2.R                      |   15 
 lavaSearch2-1.5.3/lavaSearch2/R/modelsearch2.R                              |   69 +
 lavaSearch2-1.5.3/lavaSearch2/R/multcomp.R                                  |  125 ++
 lavaSearch2-1.5.3/lavaSearch2/R/residuals2.R                                |    5 
 lavaSearch2-1.5.3/lavaSearch2/R/sCorrect.R                                  |  198 +++-
 lavaSearch2-1.5.3/lavaSearch2/R/score2.R                                    |   12 
 lavaSearch2-1.5.3/lavaSearch2/R/skeleton.R                                  |    6 
 lavaSearch2-1.5.3/lavaSearch2/R/summary2.R                                  |   16 
 lavaSearch2-1.5.3/lavaSearch2/R/vcov2.R                                     |    8 
 lavaSearch2-1.5.3/lavaSearch2/inst/doc/overview.pdf                         |binary
 lavaSearch2-1.5.3/lavaSearch2/man/autoplot.modelsearch2.Rd                  |    5 
 lavaSearch2-1.5.3/lavaSearch2/man/calcType1postSelection.Rd                 |    4 
 lavaSearch2-1.5.3/lavaSearch2/man/calibrateType1.Rd                         |   40 
 lavaSearch2-1.5.3/lavaSearch2/man/clean.Rd                                  |only
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 lavaSearch2-1.5.3/lavaSearch2/man/compare2.Rd                               |    6 
 lavaSearch2-1.5.3/lavaSearch2/man/convFormulaCharacter.Rd                   |only
 lavaSearch2-1.5.3/lavaSearch2/man/createContrast.Rd                         |    6 
 lavaSearch2-1.5.3/lavaSearch2/man/dfSigmaRobust.Rd                          |    4 
 lavaSearch2-1.5.3/lavaSearch2/man/effects2.Rd                               |only
 lavaSearch2-1.5.3/lavaSearch2/man/estfun.Rd                                 |only
 lavaSearch2-1.5.3/lavaSearch2/man/getVarCov2.Rd                             |   12 
 lavaSearch2-1.5.3/lavaSearch2/man/glht2.Rd                                  |    2 
 lavaSearch2-1.5.3/lavaSearch2/man/information2-internal.Rd                  |   13 
 lavaSearch2-1.5.3/lavaSearch2/man/information2.Rd                           |only
 lavaSearch2-1.5.3/lavaSearch2/man/modelsearch2.Rd                           |    5 
 lavaSearch2-1.5.3/lavaSearch2/man/sCorrect.Rd                               |   26 
 lavaSearch2-1.5.3/lavaSearch2/man/score2.Rd                                 |    4 
 lavaSearch2-1.5.3/lavaSearch2/man/selectRegressor.Rd                        |    2 
 lavaSearch2-1.5.3/lavaSearch2/man/selectResponse.Rd                         |    2 
 lavaSearch2-1.5.3/lavaSearch2/src                                           |only
 lavaSearch2-1.5.3/lavaSearch2/tests/testthat/test1-Utils-nlme.R             |   90 +
 lavaSearch2-1.5.3/lavaSearch2/tests/testthat/test1-cluster-lava.R           |    4 
 lavaSearch2-1.5.3/lavaSearch2/tests/testthat/test1-sCorrect-dVcov.R         |  124 +-
 lavaSearch2-1.5.3/lavaSearch2/tests/testthat/test1-sCorrect-missingValues.R |   23 
 lavaSearch2-1.5.3/lavaSearch2/tests/testthat/test1-sCorrect-summary2.R      |   29 
 lavaSearch2-1.5.3/lavaSearch2/tests/testthat/test1-sCorrect-validObjects.R  |    8 
 lavaSearch2-1.5.3/lavaSearch2/tests/testthat/test2-calcType1postSelection.R |   10 
 lavaSearch2-1.5.3/lavaSearch2/tests/testthat/test3-multcomp.R               |    4 
 lavaSearch2-1.5.3/lavaSearch2/vignettes/overview.org                        |  114 +-
 64 files changed, 1713 insertions(+), 840 deletions(-)

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New package EdSurvey with initial version 2.2.3
Package: EdSurvey
Version: 2.2.3
Date: 2019-03-18
Title: Analysis of NCES Education Survey and Assessment Data
Author: Paul Bailey [aut, cre], Ren C'deBaca [ctb], Ahmad Emad [aut], Huade Huo [aut], Michael Lee [aut], Yuqi Liao [aut], Alex Lishinski [aut], Trang Nguyen [aut], Qingshu Xie [aut], Jiao Yu [aut], Ting Zhang [aut]
Maintainer: Paul Bailey <pbailey@air.org>
Depends: R (>= 3.3.0), car, lfactors (>= 1.0.3)
Imports: data.table (>= 1.11.4), Formula, glm2, haven, LaF, lme4, MASS, Matrix, methods, NAEPprimer, RColorBrewer, readr, rvest, stringi, stringr, tibble, readxl, xml2, xtable, wCorr, WeMix (>= 2.1.0)
URL: https://www.air.org/project/nces-data-r-project-edsurvey
Description: Read in and analysis functions for education survey and assessment data from the National Center for Education Statistics (NCES) <https://nces.ed.gov/>, including National Assessment of Educational Progress (NAEP) data <https://nces.ed.gov/nationsreportcard/> and data from the International Assessment Database: OECD <http://www.oecd.org/>, including PISA, TALIS, PIAAC, and IEA <http://www.iea.nl/>, including TIMSS, TIMSS Advanced, PIRLS, ICCS, ICILS, and CivEd.
License: GPL-2
VignetteBuilder: knitr
Suggests: dplyr, knitr, testthat, withr
LazyData: true
ByteCompile: true
RoxygenNote: 6.1.0
Note: This publication was prepared for NCES under Contract No. ED-IES-12-D-0002 with the American Institutes for Research. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. Government.
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-03-18 15:15:10 UTC; pbailey
Repository: CRAN
Date/Publication: 2019-03-18 16:23:28 UTC

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New package DistributionOptimization with initial version 1.2.1
Package: DistributionOptimization
Type: Package
Title: Distribution Optimization
Version: 1.2.1
Author: Florian Lerch, Jorn Lotsch, Alfred Ultsch
Maintainer: Florian Lerch <lerch@mathematik.uni-marburg.de>
Description: Fits Gaussian mixtures by applying evolution. As fitness function a mixture of the chi square test for distributions and a novel measure for approximating the common area under curves between multiple Gaussians is used. The package presents an alternative to the commonly used likelihood maximisation as is used in Expectation maximisation. The evolution is based on the 'GA' package: Luca Scrucca (2013) <doi:10.18637/jss.v053.i04> while the Gaussian Mixture Logic stems from 'AdaptGauss': Alfred Ultsch, Michael Thrun, Onno Hansen-Goos, Jorn Lotsch (2015) <doi:10.3390/ijms161025897>.
Imports: ggplot2, GA, AdaptGauss, graphics, stats, utils
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-03-14 09:36:52 UTC; florianlerch
Repository: CRAN
Date/Publication: 2019-03-18 16:54:41 UTC

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New package clusternor with initial version 0.0-1
Package: clusternor
Version: 0.0-1
Date: 2019-03-13
Title: A Parallel Clustering Non-Uniform Memory Access ('NUMA') Optimized Package
Authors@R: c(person("Disa", "Mhembere", role = c("aut", "cre"), email = "disa@cs.jhu.edu"), person("Neurodata (https://neurodata.io)", role="cph"))
Description: The clustering 'NUMA' Optimized Routines package or 'clusternor' is a highly optimized package for performing clustering in parallel with accelerations specifically targeting multi-core Non-Uniform Memory Access ('NUMA') hardware architectures. Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal Burns (2019) <arXiv:1902.09527>.
LinkingTo: Rcpp
Depends: R (>= 3.0), Rcpp (>= 0.12.8)
License: Apache License 2.0
URL: https://github.com/neurodata/knorR
SystemRequirements: GNU make C++11, pthreads
BugReports: https://github.com/flashxio/knor/issues
RoxygenNote: 6.1.0
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Suggests: testthat
Packaged: 2019-03-16 00:15:44 UTC; disa
Author: Disa Mhembere [aut, cre], Neurodata (https://neurodata.io) [cph]
Maintainer: Disa Mhembere <disa@cs.jhu.edu>
Repository: CRAN
Date/Publication: 2019-03-18 16:54:38 UTC

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Package rdefra (with last version 0.3.5) was removed from CRAN

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

2018-07-08 0.3.5
2017-03-20 0.3.4
2016-06-13 0.1

Permanent link
Package thriftr updated to version 1.1.5 with previous version 1.1.4 dated 2019-03-09

Title: Apache Thrift Client Server
Description: Pure R implementation of Apache Thrift. This library doesn't require any code generation. To learn more about Thrift go to <https://thrift.apache.org>.
Author: Marek Jagielski [aut, cre, cph], Lixin Yu [aut, cph]
Maintainer: Marek Jagielski <marek.jagielski@gmail.com>

Diff between thriftr versions 1.1.4 dated 2019-03-09 and 1.1.5 dated 2019-03-18

 DESCRIPTION          |    8 ++++----
 MD5                  |   12 ++++++------
 R/protocol_binary.R  |   19 ++++++++++++++++---
 R/thrift.R           |    6 ++++--
 R/transport_socket.R |    6 +-----
 demo/ping_server.R   |    2 +-
 demo/sleep_server.R  |    2 +-
 7 files changed, 33 insertions(+), 22 deletions(-)

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New package EleChemr with initial version 0.9.0
Package: EleChemr
Title: Electrochemical Simulation Tools
Version: 0.9.0
Authors@R: person(given = "Federico Maria", family = "Vivaldi", role = c("aut", "cre"), email = "federico-vivaldi@virgilio.it")
Description: Set of functions for digital simulation of electrochemical processes. Each function allows for implicit and explicit solution of the differential equation using methods like Euler, Backwards implicit, Runge Kutta 4 as well as different number of points for derivative approximation. Several electrochemical processes can be simulated such as: Chronoamperometry, Potential Step, Linear Sweep, Cyclic Voltammetry and Cyclic Voltammetry with electrochemical reaction followed by chemical reaction (EC mechanism). Bibliography regarding this methods can be found in the following texts. Dieter Britz, Jorg Strutwolf (2016) <ISBN:978-3-319-30292-8> . Allen J. Bard, Larry R. Faulkner (2000) <ISBN:978-0-471-04372-0> .
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2, pracma, matlab
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-17 17:09:17 UTC; federico
Author: Federico Maria Vivaldi [aut, cre]
Maintainer: Federico Maria Vivaldi <federico-vivaldi@virgilio.it>
Repository: CRAN
Date/Publication: 2019-03-18 15:13:27 UTC

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Package TraMineR updated to version 2.0-11 with previous version 2.0-10 dated 2018-11-18

Title: Trajectory Miner: a Toolbox for Exploring and Rendering Sequences
Description: Toolbox for the manipulation, description and rendering of sequences, and more generally the mining of sequence data in the field of social sciences. Although the toolbox is primarily intended for analyzing state or event sequences that describe life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, and simple functions for extracting the most frequent subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.
Author: Alexis Gabadinho [aut, cph], Matthias Studer [aut, cph] (<https://orcid.org/0000-0002-6269-1412>), Nicolas Müller [aut], Reto Bürgin [aut], Pierre-Alexandre Fonta [aut], Gilbert Ritschard [aut, cre, cph] (<https://orcid.org/0000-0001-7776-0903>)
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>

Diff between TraMineR versions 2.0-10 dated 2018-11-18 and 2.0-11 dated 2019-03-18

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Package tosca updated to version 0.1-4 with previous version 0.1-3 dated 2019-01-17

Title: Tools for Statistical Content Analysis
Description: A framework for statistical analysis in content analysis. In addition to a pipeline for preprocessing text corpora and linking to the latent Dirichlet allocation from the 'lda' package, plots are offered for the descriptive analysis of text corpora and topic models. In addition, an implementation of Chang's intruder words and intruder topics is provided.
Author: Lars Koppers [aut, cre] (<https://orcid.org/0000-0002-1642-9616>), Jonas Rieger [aut] (<https://orcid.org/0000-0002-0007-4478>), Karin Boczek [ctb] (<https://orcid.org/0000-0003-1516-4094>), Gerret von Nordheim [ctb] (<https://orcid.org/0000-0001-7553-3838>)
Maintainer: Lars Koppers <koppers@statistik.tu-dortmund.de>

Diff between tosca versions 0.1-3 dated 2019-01-17 and 0.1-4 dated 2019-03-18

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Package SARP.compo updated to version 0.1.0 with previous version 0.0.8 dated 2018-11-07

Title: Network-Based Interpretation of Changes in Compositional Data
Description: Provides a set of functions to interpret changes in compositional data based on a network representation of all pairwise ratio comparisons: computation of all pairwise ratio, construction of a p-value matrix of all pairwise tests of these ratios between conditions, conversion of this matrix to a network.
Author: Emmanuel Curis [aut, cre] (<https://orcid.org/0000-0001-8382-1493>)
Maintainer: Emmanuel Curis <emmanuel.curis@parisdescartes.fr>

Diff between SARP.compo versions 0.0.8 dated 2018-11-07 and 0.1.0 dated 2019-03-18

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Package RxCEcolInf updated to version 0.1-4 with previous version 0.1-3 dated 2013-07-24

Title: 'R x C Ecological Inference With Optional Incorporation of Survey Information'
Description: Fits the R x C inference model described in Greiner and Quinn (2009). Allows incorporation of survey results.
Author: D. James Greiner, Paul Baines, and Kevin M. Quinn
Maintainer: Kevin M. Quinn <kmq@umich.edu>

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Package MVN updated to version 5.7 with previous version 5.6 dated 2019-01-30

Title: Multivariate Normality Tests
Description: Performs multivariate normality tests and graphical approaches and implements multivariate outlier detection and univariate normality of marginal distributions through plots and tests, and performs multivariate Box-Cox transformation (Korkmaz et al, (2014), <https://journal.r-project.org/archive/2014-2/korkmaz-goksuluk-zararsiz.pdf>).
Author: Selcuk Korkmaz [aut, cre], Dincer Goksuluk [aut], Gokmen Zararsiz [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package memisc updated to version 0.99.17.1 with previous version 0.99.14.12 dated 2018-10-01

Title: Management of Survey Data and Presentation of Analysis Results
Description: An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Author: Martin Elff (with contributions from Christopher N. Lawrence, Dave Atkins, Jason W. Morgan, Achim Zeileis)
Maintainer: Martin Elff <memisc@elff.eu>

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Package HEMDAG updated to version 2.4.7 with previous version 2.3.6 dated 2019-03-09

Title: Hierarchical Ensemble Methods for Directed Acyclic Graphs
Description: An implementation of Hierarchical Ensemble Methods for Directed Acyclic Graphs (DAGs). The 'HEMDAG' package can be used to enhance the predictions of virtually any flat learning methods, by taking into account the hierarchical nature of the classes of a bio-ontology. 'HEMDAG' is specifically designed for exploiting the hierarchical relationships of DAG-structured taxonomies, such as the Human Phenotype Ontology (HPO) or the Gene Ontology (GO), but it can be also safely applied to tree-structured taxonomies (as FunCat), since trees are DAGs. 'HEMDAG' scale nicely both in terms of the complexity of the taxonomy and in the cardinality of the examples. (Marco Notaro, Max Schubach, Peter N. Robinson and Giorgio Valentini (2017) <doi:10.1186/s12859-017-1854-y>).
Author: Marco Notaro [aut, cre] (<https://orcid.org/0000-0003-4309-2200>), Alessandro Petrini [ctb] (<https://orcid.org/0000-0002-0587-1484>), Giorgio Valentini [aut] (<https://orcid.org/0000-0002-5694-3919>)
Maintainer: Marco Notaro <marco.notaro@unimi.it>

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Package colorspace updated to version 1.4-1 with previous version 1.4-0 dated 2019-01-13

Title: A Toolbox for Manipulating and Assessing Colors and Palettes
Description: Carries out mapping between assorted color spaces including RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB and polar CIELAB. Qualitative, sequential, and diverging color palettes based on HCL colors are provided along with corresponding ggplot2 color scales. Color palette choice is aided by an interactive app (with either a Tcl/Tk or a shiny GUI) and shiny apps with an HCL color picker and a color vision deficiency emulator. Plotting functions for displaying and assessing palettes include color swatches, visualizations of the HCL space, and trajectories in HCL and/or RGB spectrum. Color manipulation functions include: desaturation, lightening/darkening, mixing, and simulation of color vision deficiencies (deutanomaly, protanomaly, tritanomaly).
Author: Ross Ihaka [aut], Paul Murrell [aut] (<https://orcid.org/0000-0002-3224-8858>), Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>), Jason C. Fisher [aut] (<https://orcid.org/0000-0001-9032-8912>), Reto Stauffer [aut] (<https://orcid.org/0000-0002-3798-5507>), Claus O. Wilke [aut] (<https://orcid.org/0000-0002-7470-9261>), Claire D. McWhite [aut] (<https://orcid.org/0000-0001-7346-3047>), Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package ruta updated to version 1.1.0 with previous version 1.0.2 dated 2018-05-08

Title: Implementation of Unsupervised Neural Architectures
Description: Implementation of several unsupervised neural networks, from building their architecture to their training and evaluation. Available networks are auto-encoders including their main variants: sparse, contractive, denoising, robust and variational, as described in Charte et al. (2018) <doi:10.1016/j.inffus.2017.12.007>.
Author: David Charte [aut, cre] (<https://orcid.org/0000-0002-4830-9512>), Francisco Charte [aut] (<https://orcid.org/0000-0002-3083-8942>), Francisco Herrera [aut]
Maintainer: David Charte <fdavidcl@ugr.es>

Diff between ruta versions 1.0.2 dated 2018-05-08 and 1.1.0 dated 2019-03-18

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Package LMest updated to version 2.4.4 with previous version 2.4.3 dated 2018-09-11

Title: Latent Markov Models with and without Covariates
Description: Fit certain versions of the Latent Markov model for longitudinal categorical data.
Author: Francesco Bartolucci, Silvia Pandolfi - University of Perugia (IT)
Maintainer: Francesco Bartolucci <bart@stat.unipg.it>

Diff between LMest versions 2.4.3 dated 2018-09-11 and 2.4.4 dated 2019-03-18

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Package GMSE updated to version 0.4.0.11 with previous version 0.4.0.7 dated 2018-08-22

Title: Generalised Management Strategy Evaluation Simulator
Description: Integrates game theory and ecological theory to construct social-ecological models that simulate the management of populations and stakeholder actions. These models build off of a previously developed management strategy evaluation (MSE) framework to simulate all aspects of management: population dynamics, manager observation of populations, manager decision making, and stakeholder responses to management decisions. The newly developed generalised management strategy evaluation (GMSE) framework uses genetic algorithms to mimic the decision-making process of managers and stakeholders under conditions of change, uncertainty, and conflict. Simulations can be run using gmse(), gmse_apply(), and gmse_gui() functions.
Author: A. Bradley Duthie [aut, cre] (<https://orcid.org/0000-0001-8343-4995>), Nils Bunnefeld [ctb, fnd] (<https://orcid.org/0000-0002-1349-4463>), Jeremy Cusack [ctb] (<https://orcid.org/0000-0003-3004-1586>), Isabel Jones [ctb] (<https://orcid.org/0000-0002-8361-1370>), Jeroen Minderman [ctb] (<https://orcid.org/0000-0002-8451-5540>), Erlend Nilsen [ctb] (<https://orcid.org/0000-0002-5119-8331>), Rocio Pozo [ctb] (<https://orcid.org/0000-0002-7546-8076>), Sarobidy Rakotonarivo [ctb] (<https://orcid.org/0000-0002-8032-1431>), Bram Van Moorter [ctb] (<https://orcid.org/0000-0002-3196-1993>)
Maintainer: A. Bradley Duthie <brad.duthie@gmail.com>

Diff between GMSE versions 0.4.0.7 dated 2018-08-22 and 0.4.0.11 dated 2019-03-18

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More information about GMSE at CRAN
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Package synoptReg updated to version 0.2.2 with previous version 0.2.1 dated 2019-01-02

Title: Synoptic Climate Classification and Spatial Regionalization of Environmental Data
Description: Computes a synoptic climate classification through daily reanalysis data and creates a climate or environmental regionalization based on the previous synoptic climate classification.
Author: Marc Lemus-Canovas, Dominic Roye
Maintainer: Marc Lemus-Canovas <mlemus@ub.edu>

Diff between synoptReg versions 0.2.1 dated 2019-01-02 and 0.2.2 dated 2019-03-18

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Package rPackedBar updated to version 0.2.1 with previous version 0.1.0 dated 2018-01-31

Title: Packed Bar Charts with 'plotly'
Description: Packed bar charts are a variation of treemaps for visualizing skewed data. The concept was introduced by Xan Gregg at 'JMP'.
Author: Adam Spannbauer [aut, cre]
Maintainer: Adam Spannbauer <spannbaueradam@gmail.com>

Diff between rPackedBar versions 0.1.0 dated 2018-01-31 and 0.2.1 dated 2019-03-18

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Package pcmabc updated to version 1.0.3 with previous version 1.0.2 dated 2019-02-06

Title: Approximate Bayesian Computations for Phylogenetic Comparative Methods
Description: Fits by ABC, the parameters of a stochastic process modelling the phylogeny and evolution of a suite of traits following the tree. The user may define an arbitrary Markov process for the trait and phylogeny. Importantly, trait-dependent speciation models are handled and fitted to data. See K. Bartoszek, P. Lio' (2019) <10.5506/APhysPolBSupp.12.25>.
Author: Krzysztof Bartoszek <krzbar@protonmail.ch>, Pietro Lio'
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

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Package miceadds updated to version 3.1-37 with previous version 3.0-16 dated 2018-12-11

Title: Some Additional Multiple Imputation Functions, Especially for 'mice'
Description: Contains functions for multiple imputation which complements existing functionality in R. In particular, several imputation methods for the mice package (van Buuren & Groothuis-Oudshoorn, 2011, <doi:10.18637/jss.v045.i03>) are included. Main features of the miceadds package include plausible value imputation (Mislevy, 1991, <doi:10.1007/BF02294457>), multilevel imputation for variables at any level or with any number of hierarchical and non-hierarchical levels (Grund, Luedtke & Robitzsch, 2018, <doi:10.1177/1094428117703686>; van Buuren, 2018, Ch.7, <doi:10.1201/9780429492259>), imputation using partial least squares (PLS) for high dimensional predictors (Robitzsch, Pham & Yanagida, 2016), and nested multiple imputation (Rubin, 2003, <doi:10.1111/1467-9574.00217>).
Author: Alexander Robitzsch [aut, cre], Simon Grund [aut], Thorsten Henke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package AnthropMMD updated to version 2.5.3 with previous version 2.5.2 dated 2018-10-29

Title: An R-Shiny Application for Smith's Mean Measure of Divergence (MMD)
Description: Offers a graphical user interface for the calculation of the mean measure of divergence, with facilities for trait selection and graphical representations <doi:10.1002/ajpa.23336>.
Author: Frédéric Santos [aut, cre] (<https://orcid.org/0000-0003-1445-3871>)
Maintainer: Frédéric Santos <frederic.santos@u-bordeaux.fr>

Diff between AnthropMMD versions 2.5.2 dated 2018-10-29 and 2.5.3 dated 2019-03-18

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Package PkgsFromFiles (with last version 0.5) was removed from CRAN

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

2018-10-28 0.5

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Package sirt updated to version 3.3-26 with previous version 3.2-39 dated 2019-02-08

Title: Supplementary Item Response Theory Models
Description: Supplementary functions for item response models aiming to complement existing R packages. The functionality includes among others multidimensional compensatory and noncompensatory IRT models (Reckase, 2009, <doi:10.1007/978-0-387-89976-3>), MCMC for hierarchical IRT models and testlet models (Fox, 2010, <doi:10.1007/978-1-4419-0742-4>), NOHARM (McDonald, 1982, <doi:10.1177/014662168200600402>), Rasch copula model (Braeken, 2011, <doi:10.1007/s11336-010-9190-4>; Schroeders, Robitzsch & Schipolowski, 2014, <doi:10.1111/jedm.12054>), faceted and hierarchical rater models (DeCarlo, Kim & Johnson, 2011, <doi:10.1111/j.1745-3984.2011.00143.x>), ordinal IRT model (ISOP; Scheiblechner, 1995, <doi:10.1007/BF02301417>), DETECT statistic (Stout, Habing, Douglas & Kim, 1996, <doi:10.1177/014662169602000403>), local structural equation modeling (LSEM; Hildebrandt, Luedtke, Robitzsch, Sommer & Wilhelm, 2016, <doi:10.1080/00273171.2016.1142856>).
Author: Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between sirt versions 3.2-39 dated 2019-02-08 and 3.3-26 dated 2019-03-18

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 sirt-3.3-26/sirt/inst/NEWS                                                       |   32 +++
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Package mvSLOUCH updated to version 2.0.3 with previous version 2.0.2 dated 2019-03-07

Title: Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data from species related by a common evolutionary history. See K. Bartoszek, J, Pienaar, P. Mostad, S. Andersson, T. F.Hansen (2012) <doi:10.1016/j.jtbi.2012.08.005>.
Author: Krzysztof Bartoszek <krzbar@protonmail.ch>
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

Diff between mvSLOUCH versions 2.0.2 dated 2019-03-07 and 2.0.3 dated 2019-03-18

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Package MixGHD updated to version 2.3.1 with previous version 2.3 dated 2019-02-21

Title: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions
Description: Carries out model-based clustering, classification and discriminant analysis using five different models. The models are all based on the generalized hyperbolic distribution. The first model 'MGHD' (Browne and McNicholas (2015) <doi:10.1002/cjs.11246>) is the classical mixture of generalized hyperbolic distributions. The 'MGHFA' (Tortora et al. (2016) <doi:10.1007/s11634-015-0204-z>) is the mixture of generalized hyperbolic factor analyzers for high dimensional data sets. The 'MSGHD'(Tortora et al. (2016) <arXiv:1403.2332v7>), mixture of multiple scaled generalized hyperbolic distributions. The 'cMSGHD' (Tortora et al. (2016) <arXiv:1403.2332v7>) is a 'MSGHD' with convex contour plots. The 'MCGHD' (Tortora et al. (2016) <arXiv:1403.2332v7>), mixture of coalesced generalized hyperbolic distributions is a new more flexible model.
Author: Cristina Tortora [aut, cre, cph], Aisha ElSherbiny [com], Ryan P. Browne [aut, cph], Brian C. Franczak [aut, cph], and Paul D. McNicholas [aut, cph], and Amos Donald D. [ctb].
Maintainer: Cristina Tortora <grikris1@gmail.com>

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Package ecoval updated to version 1.2.2 with previous version 1.2.1 dated 2018-09-28

Title: Procedures for Ecological Assessment of Surface Waters
Description: Functions for evaluating and visualizing ecological assessment procedures for surface waters containing physical, chemical and biological assessments in the form of value functions.
Author: Nele Schuwirth <nele.schuwirth@eawag.ch> and Peter Reichert <peter.reichert@eawag.ch> with contributions by Simone Langhans and Christian Michel
Maintainer: Nele Schuwirth <nele.schuwirth@eawag.ch>

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Package distances updated to version 0.1.7 with previous version 0.1.5 dated 2018-12-12

Title: Tools for Distance Metrics
Description: Provides tools for constructing, manipulating and using distance metrics.
Author: Fredrik Savje [aut, cre]
Maintainer: Fredrik Savje <fredrik.savje@yale.edu>

Diff between distances versions 0.1.5 dated 2018-12-12 and 0.1.7 dated 2019-03-18

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Package amelie updated to version 0.2.1 with previous version 0.2.0 dated 2018-04-08

Title: Anomaly Detection with Normal Probability Functions
Description: Implements anomaly detection as binary classification for cross-sectional data. Uses maximum likelihood estimates and normal probability functions to classify observations as anomalous. The method is presented in the following lecture from the Machine Learning course by Andrew Ng: <https://www.coursera.org/learn/machine-learning/lecture/C8IJp/algorithm/>, and is also described in: Aleksandar Lazarevic, Levent Ertoz, Vipin Kumar, Aysel Ozgur, Jaideep Srivastava (2003) <doi:10.1137/1.9781611972733.3>.
Author: Dmitriy Bolotov [aut, cre]
Maintainer: Dmitriy Bolotov <dbolotov@live.com>

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Package edgar updated to version 2.0.0 with previous version 1.0.9 dated 2017-06-04

Title: Platform for EDGAR Filing Management and Textual Analysis
Description: In the USA, companies file different forms with the U.S. Securities and Exchange Commission (SEC) through EDGAR (Electronic Data Gathering, Analysis, and Retrieval system). The EDGAR database automated system collects all the different necessary filings and makes it publicly available. Investors, regulators, and researchers often require these forms for various purposes. This package helps in bulk data gathering and textual analysis of EDGAR filings. It downloads filings from SEC server in bulk with a single query. Additionally, it provides various useful functions: extracts 8-K triggering events, extract "Business (Item 1)" and "Management's Discussion and Analysis(Item 7)" sections of annual statements, search filings for desired words, provides sentiment measures, parse filing header information, and provides HTML view of SEC filings.
Author: Gunratan Lonare <lonare.gunratan@gmail.com>, Bharat Patil <bharatspatil@gmail.com>
Maintainer: Gunratan Lonare <lonare.gunratan@gmail.com>

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Package ecp updated to version 3.1.1 with previous version 3.1.0 dated 2017-12-15

Title: Non-Parametric Multiple Change-Point Analysis of Multivariate Data
Description: Implements various procedures for finding multiple change-points. Two methods make use of dynamic programming and pruning, with no distributional assumptions other than the existence of certain absolute moments in one method. Hierarchical and exact search methods are included. All methods return the set of estimated change- points as well as other summary information.
Author: Nicholas A. James, Wenyu Zhang and David S. Matteson
Maintainer: Wenyu Zhang <wz258@cornell.edu>

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Package BalanceCheck updated to version 0.2 with previous version 0.1 dated 2016-09-15

Title: Balance Check for Multiple Covariates in Matched Observational Studies
Description: Two practical tests are provided for assessing whether multiple covariates in a treatment group and a matched control group are balanced in observational studies.
Author: Hao Chen and Dylan Small
Maintainer: Hao Chen <hxchen@ucdavis.edu>

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