Wed, 29 Nov 2017

Package Thermimage updated to version 3.1.0 with previous version 3.0.0 dated 2017-03-25

Title: Thermal Image Analysis
Description: A collection of functions and routines for inputting thermal image video files, plotting and converting binary raw data into estimates of temperature. First published 2015-03-26. Written primarily for research purposes in biological applications of thermal images. v1 included the base calculations for converting thermal image binary values to temperatures. v2 included additional equations for providing heat transfer calculations and an import function for thermal image files (v2.2.3 fixed error importing thermal image to windows OS). v3. Added numerous functions for converting thermal image, videos, rewriting and exporting. v3.1. Added new functions to convert files.
Author: Glenn J. Tattersall
Maintainer: Glenn J. Tattersall <gtatters@brocku.ca>

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Package oec updated to version 2.5.2 with previous version 2.5 dated 2017-11-01

Title: Observatory of Economic Complexity API Wrapper and Utility Program
Description: Access The Observatory of Economic Complexity API from R to download international trade data and create and D3Plus visualizations.
Author: Mauricio Vargas S. [aut, cre], Cesar Hidalgo [aut] (original OEC idea), Alexander Simoes [aut] (original OEC idea), Manuel Aristaran [ctb], Pablo Paladino [ctb], Gabriela Perez [ctb], Dave Landry [ctb] (D3plus author), Mike Bostock [ctb] (D3 author), UN Comtrade [dtc], MIT Media Lab [dtc], Datawheel [fnd, cph]
Maintainer: Mauricio Vargas S. <oec@media.mit.edu>

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Package wallace updated to version 1.0.1 with previous version 1.0 dated 2017-11-25

Title: A Modular Platform for Reproducible Modeling of Species Niches and Distributions
Description: The 'shiny' application 'wallace' is a modular platform for reproducible modeling of species niches and distributions. 'wallace' guides users through a complete analysis, from the acquisition of species occurrence and environmental data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface.
Author: Jamie M. Kass [aut, cre], Bruno Vilela [aut], Matthew E. Aiello-Lammens [aut], Robert Muscarella [aut], Cory Merow [aut], Robert P. Anderson [aut]
Maintainer: Jamie M. Kass <jkass@gradcenter.cuny.edu>

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Package StrainRanking updated to version 1.2 with previous version 1.1 dated 2014-02-05

Title: Ranking of Pathogen Strains
Description: Regression-based ranking of pathogen strains with respect to their contributions to natural epidemics, using demographic and genetic data sampled in the curse of the epidemics. This package also includes the GMCPIC test.
Author: Soubeyrand, S., Tollenaere, C., Haon-Lasportes, E. and Laine, A.-L.
Maintainer: Samuel Soubeyrand <samuel.soubeyrand@inra.fr>

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Package RcppAlgos updated to version 0.2.1 with previous version 0.2.0 dated 2017-11-28

Title: Tools for Combinatorics and Computational Mathematics
Description: Provides optimized functions implemented in C++ with 'Rcpp' for solving problems in combinatorics and computational mathematics. There is a combination function and a permutation function that are both flexible as well as efficient with respect to speed and memory. There are optional contraint arguments that when employed, generate all combinations/permutations of a vector meeting a specific criteria (E.g. finding all combinations such that the sum is less than a bound). The generalized permutation function is also capable of producing all permutations of multisets. Additionally, there are various sieving functions that quickly generate essential components for problems common in computational mathematics (E.g. number of comprime elements, divisors, prime factorizations, and complete factorizations for many numbers as well as primes in a range).
Author: Joseph Wood
Maintainer: Joseph Wood <jwood000@gmail.com>

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Package mirt updated to version 1.26.3 with previous version 1.26.1 dated 2017-11-27

Title: Multidimensional Item Response Theory
Description: Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>). Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item and test functioning as well as modelling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, and several other discrete latent variable models are supported.
Author: Phil Chalmers [aut, cre, cph], Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb], Adam Meade [ctb], Lennart Schneider [ctb], David King [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package glinternet updated to version 1.0.6 with previous version 1.0.5 dated 2017-07-08

Title: Learning Interactions via Hierarchical Group-Lasso Regularization
Description: Group-Lasso INTERaction-NET. Fits linear pairwise-interaction models that satisfy strong hierarchy: if an interaction coefficient is estimated to be nonzero, then its two associated main effects also have nonzero estimated coefficients. Accommodates categorical variables (factors) with arbitrary numbers of levels, continuous variables, and combinations thereof. Implements the machinery described in the paper "Learning interactions via hierarchical group-lasso regularization" (JCGS 2015, Volume 24, Issue 3). Michael Lim & Trevor Hastie (2015) <DOI:10.1080/10618600.2014.938812>.
Author: Michael Lim, Trevor Hastie
Maintainer: Michael Lim <michael626@gmail.com>

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Package getopt updated to version 1.20.1 with previous version 1.20.0 dated 2013-08-30

Title: C-Like 'getopt' Behavior
Description: Package designed to be used with Rscript to write ``#!'' shebang scripts that accept short and long flags/options. Many users will prefer using instead the packages optparse or argparse which add extra features like automatically generated help option and usage, support for default values, positional argument support, etc.
Author: Allen Day. Contributions from Trevor L Davis and Roman Zenka.
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

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Package flexdashboard updated to version 0.5.1 with previous version 0.5 dated 2017-03-13

Title: R Markdown Format for Flexible Dashboards
Description: Format for converting an R Markdown document to a grid oriented dashboard. The dashboard flexibly adapts the size of it's components to the containing web page.
Author: Barbara Borges [aut, cre], JJ Allaire [aut], RStudio [cph], Keen IO [ctb, cph] (Dashboard CSS), Abdullah Almsaeed [ctb, cph] (Dashboard CSS), Jonas Mosbech [ctb, cph] (StickyTableHeaders), Noel Bossart [ctb, cph] (Featherlight), Lea Verou [ctb, cph] (Prism), Dmitry Baranovskiy [ctb, cph] (Raphael.js), Sencha Labs [ctb, cph] (Raphael.js), Bojan Djuricic [ctb, cph] (JustGage), Tomas Sardyha [ctb, cph] (Sly), Bryan Lewis [ctb, cph] (Examples), Carson Sievert [ctb, cph] (Examples), Joshua Kunst [ctb, cph] (Examples), Ryan Hafen [ctb, cph] (Examples), Bob Rudis [ctb, cph] (Examples), Joe Cheng [ctb] (Examples)
Maintainer: Barbara Borges <barbara@rstudio.com>

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Package agridat updated to version 1.13 with previous version 1.12 dated 2015-06-29

Title: Agricultural Datasets
Description: Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more.
Author: Kevin Wright [aut, cre]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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More information about agridat at CRAN
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Package adapr updated to version 2.0.0 with previous version 1.0.2 dated 2017-02-02

Title: Implementation of an Accountable Data Analysis Process
Description: Tracks reading and writing within R scripts that are organized into a directed acyclic graph. Contains an interactive shiny application adaprApp(). Uses git2r package, Git and file hashes to track version histories of input and output. See package vignette for how to get started. V1.02 adds parallel execution of project scripts and function map in vignette. Makes project specification argument last in order. V2.0 adds project specific libraries, packrat option, and adaprSheet().
Author: Jon Gelfond, Martin Goros
Maintainer: Jonathan Gelfond <gelfondjal@uthscsa.edu>

Diff between adapr versions 1.0.2 dated 2017-02-02 and 2.0.0 dated 2017-11-29

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More information about adapr at CRAN
Permanent link

Package argparse updated to version 1.1.0 with previous version 1.0.7 dated 2017-08-22

Title: Command Line Optional and Positional Argument Parser
Description: A command line parser to be used with Rscript to write "#!" shebang scripts that gracefully accept positional and optional arguments and automatically generate usage.
Author: Trevor L Davis. Ports examples from the argparse Python module by the Python Software Foundation. Ports examples from the getopt package by Allen Day.
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between argparse versions 1.0.7 dated 2017-08-22 and 1.1.0 dated 2017-11-29

 DESCRIPTION                    |   11 +--
 INSTALL                        |   11 +++
 MD5                            |   22 ++++---
 NAMESPACE                      |    2 
 NEWS                           |   12 ++++
 R/argparse.R                   |  117 ++++++++++++++++++++++++-----------------
 inst/COPYRIGHTS                |    2 
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 14 files changed, 211 insertions(+), 119 deletions(-)

More information about argparse at CRAN
Permanent link

Package MUS updated to version 0.1.5 with previous version 0.1.4 dated 2017-05-29

Title: Monetary Unit Sampling and Estimation Methods, Widely Used in Auditing
Description: Sampling and evaluation methods to apply Monetary Unit Sampling (or in older literature Dollar Unit Sampling) during an audit of financial statements.
Author: Henning Prömpers, André Guimarães
Maintainer: Henning Prömpers <henning@proempers.net>

Diff between MUS versions 0.1.4 dated 2017-05-29 and 0.1.5 dated 2017-11-29

 DESCRIPTION                         |   13 +
 MD5                                 |   47 ++++-
 NAMESPACE                           |    4 
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More information about MUS at CRAN
Permanent link

Package diceR updated to version 0.3.0 with previous version 0.2.0 dated 2017-09-29

Title: Diverse Cluster Ensemble in R
Description: Performs cluster analysis using an ensemble clustering framework. Results from a diverse set of algorithms are pooled together using methods such as majority voting, K-Modes, LinkCluE, and CSPA. There are options to compare cluster assignments across algorithms using internal and external indices, visualizations such as heatmaps, and significance testing for the existence of clusters.
Author: Derek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com]
Maintainer: Derek Chiu <dchiu@bccrc.ca>

Diff between diceR versions 0.2.0 dated 2017-09-29 and 0.3.0 dated 2017-11-29

 DESCRIPTION                             |   22 -
 MD5                                     |   32 -
 NEWS.md                                 |   14 
 R/consensus_combine.R                   |    2 
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 R/dice.R                                |   27 -
 R/graphs.R                              |   74 ++-
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 man/consensus_combine.Rd                |    2 
 man/consensus_evaluate.Rd               |   13 
 man/dice.Rd                             |    4 
 man/graphs.Rd                           |    4 
 tests/testthat/test-consensus_combine.R |    2 
 tests/testthat/test-dice.R              |   13 
 vignettes/overview.Rmd                  |  110 ++++-
 17 files changed, 910 insertions(+), 589 deletions(-)

More information about diceR at CRAN
Permanent link

New package ccfa with initial version 1.0.0
Package: ccfa
Type: Package
Title: Continuous Counterfactual Analysis
Version: 1.0.0
Authors@R: c(person("Weige", "Huang", role=c("aut","cre"), email="weige.huang@temple.edu"), person("Brantly", "Callaway", role="aut", email="brantly.callaway@temple.edu"))
Description: Contains methods for computing counterfactuals with a continuous treatment variable as in Callaway and Huang (2017) <https://ssrn.com/abstract=3078187>. In particular, the package can be used to calculate the expected value, the variance, the interquantile range, the fraction of observations below or above a particular cutoff, or other user-supplied functions of an outcome of interest conditional on a continuous treatment. The package can also be used for computing these same functionals after adjusting for differences in covariates at different values of the treatment. Further, one can use the package to conduct uniform inference for each parameter of interest across all values of the treatment, uniformly test whether adjusting for covariates makes a difference at any value of the treatment, and test whether a parameter of interest is different from its average value at an value of the treatment.
Depends: R (>= 2.1.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: quantreg, stats, pbapply, BMisc, tidyr, ggplot2, TempleMetrics, formula.tools
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-29 18:32:36 UTC; brant
Author: Weige Huang [aut, cre], Brantly Callaway [aut]
Maintainer: Weige Huang <weige.huang@temple.edu>
Repository: CRAN
Date/Publication: 2017-11-29 19:02:22 UTC

More information about ccfa at CRAN
Permanent link

New package beast with initial version 1.0
Package: beast
Type: Package
Title: Bayesian Estimation of Change-Points in the Slope of Multivariate Time-Series
Version: 1.0
Date: 2017-11-29
Author: Panagiotis Papastamoulis
Maintainer: Panagiotis Papastamoulis <papapast@yahoo.gr>
Description: Assume that a temporal process is composed of contiguous segments with differing slopes and replicated noise-corrupted time series measurements are observed. The unknown mean of the data generating process is modelled as a piecewise linear function of time with an unknown number of change-points. The package infers the joint posterior distribution of the number and position of change-points as well as the unknown mean parameters per time-series by MCMC sampling. A-priori, the proposed model uses an overfitting number of mean parameters but, conditionally on a set of change-points, only a subset of them influences the likelihood. An exponentially decreasing prior distribution on the number of change-points gives rise to a posterior distribution concentrating on sparse representations of the underlying sequence, but also available is the Poisson distribution. See Papastamoulis et al (2017) <arXiv:1709.06111> for a detailed presentation of the method.
License: GPL-2
Imports: RColorBrewer
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2017-11-29 18:49:33 UTC; mqbssppe
Repository: CRAN
Date/Publication: 2017-11-29 19:11:11 UTC

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Package webshot updated to version 0.5.0 with previous version 0.4.2 dated 2017-09-25

Title: Take Screenshots of Web Pages
Description: Takes screenshots of web pages, including Shiny applications and R Markdown documents.
Author: Winston Chang [aut, cre], Yihui Xie [ctb], Francois Guillem [ctb], Nicolas Perriault [ctb] (The CasperJS library)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between webshot versions 0.4.2 dated 2017-09-25 and 0.5.0 dated 2017-11-29

 DESCRIPTION         |   13 +++++++------
 MD5                 |   18 ++++++++++--------
 NAMESPACE           |    1 +
 NEWS.md             |    7 +++++++
 R/appshot.R         |   42 ++++++------------------------------------
 R/rmdshot.R         |only
 R/utils.R           |   28 +++++++++++++++++++---------
 README.md           |   22 +++++++++++++++++-----
 build/vignette.rds  |binary
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 man/rmdshot.Rd      |only
 11 files changed, 79 insertions(+), 74 deletions(-)

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Package utf8 updated to version 1.1.1 with previous version 1.1.0 dated 2017-11-20

Title: Unicode Text Processing
Description: Processing and printing 'UTF-8' encoded international text (Unicode). Functions to input, validate, normalize, encode, format, and display.
Author: Patrick O. Perry [aut, cph, cre], Unicode, Inc. [cph, dtc] (Unicode Character Database)
Maintainer: Patrick O. Perry <pperry@stern.nyu.edu>

Diff between utf8 versions 1.1.0 dated 2017-11-20 and 1.1.1 dated 2017-11-29

 DESCRIPTION   |    6 +++---
 MD5           |    8 ++++----
 NEWS          |   12 ++++++++++--
 README.md     |    6 +++---
 src/as_utf8.c |    6 ++++--
 5 files changed, 24 insertions(+), 14 deletions(-)

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Package trackdem updated to version 0.3 with previous version 0.2 dated 2017-06-27

Title: Particle Tracking and Demography
Description: Obtain population density and body size structure, using video material or image sequences as input. Functions assist in the creation of image sequences from videos, background detection and subtraction, particle identification and tracking. An artificial neural network can be trained for noise filtering. The goal is to supply accurate estimates of population size, structure and/or individual behavior, for use in evolutionary and ecological studies.
Author: Marjolein Bruijning, Marco D. Visser, Caspar A. Hallmann, Eelke Jongejans
Maintainer: Marjolein Bruijning <m.bruijning@science.ru.nl>

Diff between trackdem versions 0.2 dated 2017-06-27 and 0.3 dated 2017-11-29

 trackdem-0.2/trackdem/src/init.c                |only
 trackdem-0.3/trackdem/DESCRIPTION               |   10 
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 trackdem-0.3/trackdem/R/RcppExports.R           |   14 
 trackdem-0.3/trackdem/R/help.R                  |    4 
 trackdem-0.3/trackdem/R/identifyFunctions.R     |  548 ++++++++++++----
 trackdem-0.3/trackdem/R/nnFunctions.R           |  787 ++++++++++++++----------
 trackdem-0.3/trackdem/R/resultsFunctions.R      |  233 ++++---
 trackdem-0.3/trackdem/R/simulationFunctions.R   |  494 +++++++--------
 trackdem-0.3/trackdem/R/trackFunctions.R        |  230 ++++++-
 trackdem-0.3/trackdem/inst                      |only
 trackdem-0.3/trackdem/man/createBackground.Rd   |   21 
 trackdem-0.3/trackdem/man/createImageSeq.Rd     |   17 
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 trackdem-0.3/trackdem/man/trackParticles.Rd     |   31 
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 31 files changed, 1929 insertions(+), 950 deletions(-)

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New package streambugs with initial version 1.0
Package: streambugs
Type: Package
Title: Parametric Ordinary Differential Equations Model of Growth, Death, and Respiration of Macroinvertebrate and Algae Taxa
Version: 1.0
Date: 2017-11-07
Author: Peter Reichert, Mikolaj Rybinski, Nele Schuwirth
Maintainer: Nele Schuwirth <nele.schuwirth@eawag.ch>
Description: Numerically solve and plot solutions of a parametric ordinary differential equations model of growth, death, and respiration of macroinvertebrate and algae taxa dependent on pre-defined environmental factors. The model (version 1.0) is introduced in Schuwirth, N. and Reichert, P., (2013) <DOI:10.1890/12-0591.1>. This package includes model extensions and the core functions introduced and used in Kattwinkel, M. et al. (2016) <DOI:10.1021/acs.est.5b04068>, Mondy, C. P., and Schuwirth, N. (2017) <DOI:10.1002/eap.1530>, and Paillex, A. et al. (2017) <DOI:10.1111/fwb.12927>.
URL: http://www.eawag.ch/en/department/siam/projects/streambugs/
BugReports: https://github.com/trybik/streambugs/issues
License: GPL-3
Depends: R (>= 3.0.2)
Imports: deSolve (>= 1.20)
Suggests: testthat
RoxygenNote: 6.0.1
NeedsCompilation: yes
SystemRequirements: C99
Packaged: 2017-11-28 16:01:10 UTC; schuwine
Repository: CRAN
Date/Publication: 2017-11-29 16:31:37 UTC

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New package NipponMap with initial version 0.1
Package: NipponMap
Version: 0.1
Date: 2017-11-29
Title: Japanese Map Data and Functions
Authors@R: c(person("Susumu", "Tanimura", role = c("aut", "cre"), email = "aruminat@gmail.com"))
Author: Susumu Tanimura [aut, cre]
Maintainer: Susumu Tanimura <aruminat@gmail.com>
Imports: sf, tibble
Suggests: RColorBrewer, foreign
Enhances: kokudosuuchi, estatapi, jpndistrict, jpmesh
Description: Digital map data of Japan for choropleth mapping, including a circle cartogram.
License: GPL (>= 2)
NeedsCompilation: no
Type: Package
Packaged: 2017-11-29 10:01:44 UTC; umusus
Repository: CRAN
Date/Publication: 2017-11-29 16:39:42 UTC

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New package MDSMap with initial version 1.0
Package: MDSMap
Type: Package
Title: High Density Genetic Linkage Mapping using Multidimensional Scaling
Version: 1.0
Date: 2017-11-29
Author: Katharine F. Preedy <Katharine.preedy@bioss.ac.uk>
Maintainer: Bram Boskamp <bram.boskamp@bioss.ac.uk>
Description: Estimate genetic linkage maps for markers on a single chromosome (or in a single linkage group) from pairwise recombination fractions or intermarker distances using weighted metric multidimensional scaling. The methods are suitable for autotetraploid as well as diploid populations. Options for assessing the fit to a known map are also provided. Methods are discussed in detail in Preedy and Hackett (2016) <doi:10.1007/s00122-016-2761-8>.
License: GPL-3 | file LICENSE
Depends: R (>= 3.2.0)
Imports: smacof (>= 1.9.0), princurve, rgl, reshape
RoxygenNote: 6.0.1
Suggests: qtl, R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2017-11-29 12:02:57 UTC; Bram Boskamp
Repository: CRAN
Date/Publication: 2017-11-29 17:00:04 UTC

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New package LSDsensitivity with initial version 0.1.2
Package: LSDsensitivity
Type: Package
Title: Sensitivity Analysis Tools for LSD
Version: 0.1.2
Date: 2017-11-29
Author: Marcelo C. Pereira
Maintainer: Marcelo C. Pereira <marcelocpereira@uol.com.br>
Description: Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD simulation models and performs screening and global sensitivity analysis (Sobol decomposition method, Saltelli et al. (2008) ISBN:9780470725177). A Kriging or polynomial meta-model (Kleijnen (2009) <doi:10.1016/j.ejor.2007.10.013>) is estimated using the simulation data to provide the data required by the Sobol decomposition. LSD (Laboratory for Simulation Development) is free software developed by Marco Valente (documentation and downloads available at <http://labsimdev.org>).
Depends: R (>= 3.2.0)
Imports: LSDinterface (>= 0.3.1), stats, utils, tseries, kSamples, abind, sensitivity, car, randtoolbox, parallel, rgenoud, DiceKriging
License: GPL-3
LazyData: true
NeedsCompilation: no
Packaged: 2017-11-29 00:32:29 UTC; Marcelo
Repository: CRAN
Date/Publication: 2017-11-29 16:55:41 UTC

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Package castor updated to version 1.3 with previous version 1.2.2 dated 2017-09-27

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, using Maximum Likelihood and Maximum Parsimony methods. Simulating and fitting models of trait evolution, and generating random trees using birth-death models.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

Diff between castor versions 1.2.2 dated 2017-09-27 and 1.3 dated 2017-11-29

 DESCRIPTION                              |   10 
 MD5                                      |  108 +-
 NAMESPACE                                |   12 
 R/RcppExports.R                          |   32 
 R/asr_empirical_probabilities.R          |    2 
 R/asr_independent_contrasts.R            |   23 
 R/asr_max_parsimony.R                    |    2 
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 R/asr_squared_change_parsimony.R         |    7 
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 R/hsp_max_parsimony.R                    |    3 
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 src/phylogenetics_cpp_routines.cpp       | 1411 ++++++++++++++++++++++++++-----
 63 files changed, 1862 insertions(+), 512 deletions(-)

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Package bmlm updated to version 1.3.5 with previous version 1.3.4 dated 2017-11-21

Title: Bayesian Multilevel Mediation
Description: Easy estimation of Bayesian multilevel mediation models with Stan.
Author: Matti Vuorre [aut, cre] (0000-0001-5052-066X)
Maintainer: Matti Vuorre <mv2521@columbia.edu>

Diff between bmlm versions 1.3.4 dated 2017-11-21 and 1.3.5 dated 2017-11-29

 DESCRIPTION      |    8 ++++----
 MD5              |    8 ++++----
 NEWS.md          |    4 ++++
 src/Modules.cpp  |    4 ++--
 tools/make_cpp.R |    2 +-
 5 files changed, 15 insertions(+), 11 deletions(-)

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New package ppclust with initial version 0.1.0
Package: ppclust
Type: Package
Title: Probabilistic and Possibilistic Cluster Analysis
Version: 0.1.0
Date: 2017-11-28
Encoding: latin1
Authors@R: c(person("Zeynel", "Cebeci", email = "zcebeci@cukurova.edu.tr", role = c("aut", "cre")), person("Figen","Yildiz", role = "aut", email = "yildizf@cukurova.edu.tr"), person("Alper Tuna","Kavlak", role = "aut", email = "alpertunakavlak@gmail.com"), person("Cagatay","Cebeci", role = "aut", email = "cagatay.cebeci@strath.ac.uk"), person("Hasan","Onder", role = "aut", email = "honder@omu.edu.tr"))
Author: Zeynel Cebeci [aut, cre], Figen Yildiz [aut], Alper Tuna Kavlak [aut], Cagatay Cebeci [aut], Hasan Onder [aut]
Maintainer: Zeynel Cebeci <zcebeci@cukurova.edu.tr>
Description: Partitioning clustering divides the objects in a data set into non-overlapping subsets or clusters by using the prototype-based probabilistic and possibilistic clustering algorithms. This package covers a set of the functions for Fuzzy C-Means (Bezdek, 1974) <doi:10.1080/01969727308546047>, Possibilistic C-Means (Krishnapuram & Keller, 1993) <doi:10.1109/91.227387>, Possibilistic Fuzzy C-Means (Pal et al, 2005) <doi:10.1109/TFUZZ.2004.840099>, Possibilistic Clustering Algorithm (Yang et al, 2006) <doi:10.1016/j.patcog.2005.07.005>, Possibilistic C-Means with Repulsion (Wachs et al, 2006) <doi:10.1007/3-540-31662-0_6> and the other variants of hard and soft clustering algorithms. The cluster prototypes and membership matrices required by these partitioning algorithms are initialized with different initialization techniques that are available in the package 'inaparc'. As the distance metrics, not only the Euclidean distance but also a set of the commonly used distance metrics are available to use with some of the algorithms in the package.
Depends: R (>= 3.0.0)
License: GPL (>= 2)
LazyData: true
Imports: graphics, grDevices, inaparc, stats, utils
Suggests: cluster, factoextra, fclust, knitr, MASS, rmarkdown, vegclust
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-28 18:36:31 UTC; user1
Repository: CRAN
Date/Publication: 2017-11-29 15:18:25 UTC

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Package seqPERM (with last version 1.0) was removed from CRAN

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

2013-01-28 1.0

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New package UniDOE with initial version 1.0
Package: UniDOE
Type: Package
Title: Uniform Design of Experiments
Version: 1.0
Date: 2017-11-25
Author: Aijun Zhang, Haoyu Li, Shijie Quan
Maintainer: Aijun Zhang <ajzhang@hku.hk>
Description: Efficient procedures for constructing uniform design of experiments under various space-filling criteria. It is based on a stochastic and adaptive threshold accepting algorithm with flexible initialization, adaptive threshold, and stochastic evolution. The package may also construct the augmented uniform designs in a sequential manner. View details at: Zhang, A. and Li, H. (2017). UniDOE: An R package for constructing uniform design of experiments via stochastic and adaptive threshold accepting algorithm.
License: GPL-3
Depends: R (>= 3.2.1)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Imports: Rcpp
LinkingTo: Rcpp
RoxygenNote: 6.0.1
Packaged: 2017-11-27 13:55:47 UTC; lihaoyu
Repository: CRAN
Date/Publication: 2017-11-29 14:18:40 UTC

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Package mvord updated to version 0.2.1 with previous version 0.2.0 dated 2017-11-10

Title: Multivariate Ordinal Regression Models
Description: A flexible framework for fitting multivariate ordinal regression models with composite likelihood methods.
Author: Rainer Hirk [aut, cre], Kurt Hornik [aut], Laura Vana [aut], Alan Genz [ctb] (Fortran Code)
Maintainer: Rainer Hirk <rhirk@wu.ac.at>

Diff between mvord versions 0.2.0 dated 2017-11-10 and 0.2.1 dated 2017-11-29

 DESCRIPTION                  |    8 -
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 NAMESPACE                    |    1 
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 22 files changed, 819 insertions(+), 386 deletions(-)

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New package lmomPi with initial version 0.5.0
Package: lmomPi
Maintainer: Emanuele Cordano <emanuele.cordano@ext.ec.europa.eu>
License: GPL (>= 3)
Title: (Precipitation) Frequency Analysis and Variability with L-Moments from 'lmom'
Type: Package
Author: Emanuele Cordano, Unit D.02 Water and Marine Resources,Joint Research Centre of the European Commission
Description: It is an extension of 'lmom' R package: 'pel','cdf',qua' function families are lumped and called from one function per each family respectively in order to create robust automatic tools to fit data with different probability distributions and then to estimate probability values and return periods. The implemented functions are able to manage time series with constant and/or missing values without stopping the execution with error messages. The package also contains tools to calculate several indices based on variability (e.g. 'SPI' , Standardized Precipitation Index, see <https://climatedataguide.ucar.edu/climate-data/standardized-precipitation-index-spi> and <http://spei.csic.es/>) for multiple time series or spatio-temporal gridded values.
Version: 0.5.0
Date: 2017-11-28
Repository: CRAN
Depends: R(>= 3.0.1),lmom,stringr
Suggests: rasterList,lmomRFA,SPEI
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-28 15:32:55 UTC; cordaem
Date/Publication: 2017-11-29 14:31:45 UTC

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Package hetGP updated to version 1.0.1 with previous version 1.0.0 dated 2017-09-28

Title: Heteroskedastic Gaussian Process Modeling and Design under Replication
Description: Performs Gaussian process regression with heteroskedastic noise following Binois, M., Gramacy, R., Ludkovski, M. (2016) <arXiv:1611.05902>. The input dependent noise is modeled as another Gaussian process. Replicated observations are encouraged as they yield computational savings. Sequential design procedures based on the integrated mean square prediction error and lookahead heuristics are provided, and notably fast update functions when adding new observations.
Author: Mickael Binois, Robert B. Gramacy
Maintainer: Mickael Binois <mickael.binois@chicagobooth.edu>

Diff between hetGP versions 1.0.0 dated 2017-09-28 and 1.0.1 dated 2017-11-29

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 src/Matern_utils.cpp     |   24 +++---
 src/distcpp.cpp          |   23 ------
 30 files changed, 441 insertions(+), 383 deletions(-)

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New package GWSDAT with initial version 3.0.0
Package: GWSDAT
Title: GroundWater Spatiotemporal Data Analysis Tool (GWSDAT)
Version: 3.0.0
Author: Wayne W Jones <wayne.w.jones@shell.com>, Andrej Aderhold <andrej.aderhold@protonmail.com>, Ludger Evers <ludger.evers@glasgow.ac.uk>
Maintainer: Andrej Aderhold <andrej.aderhold@protonmail.com>
Description: Shiny application for the analysis of groundwater monitoring data, designed to work with simple time-series data for solute concentration and ground water elevation, but can also plot non-aqueous phase liquid (NAPL) thickness if required. Also provides the import of a site basemap in GIS shapefile format.
Depends: R (>= 3.3.1)
Imports: shiny, shinyjs, shinydashboard, shinycssloaders, sm, zoo, splancs, Kendall, deldir, geometry, Matrix, readxl, MASS, lattice, rhandsontable, sf, sp
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-28 17:11:54 UTC; Andruscha
Repository: CRAN
Date/Publication: 2017-11-29 14:45:29 UTC

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Package EValue updated to version 1.1.0 with previous version 1.0.0 dated 2017-10-30

Title: Sensitivity Analyses for Unmeasured Confounding in Observational Studies and Meta-Analyses
Description: Conducts sensitivity analyses for unmeasured confounding for either an observational study or a meta-analysis of observational studies. For a single observational study, the package reports E-values, defined as the minimum strength of association on the risk ratio scale that an unmeasured confounder would need to have with both the treatment and the outcome to fully explain away a specific treatment-outcome association, conditional on the measured covariates. One can use one of the evalues.XX() functions to compute E-values for the relevant outcome types. Outcome types include risk ratios, odds ratio with common or rare outcomes, hazard ratios with common or rare outcomes, and standardized differences in outcomes. Optionally, one can use the bias_plot() function to plot the bias factor as a function of two sensitivity parameters. (See VanderWeele & Ding, 2017 [<http://annals.org/aim/article/2643434>] for details.) For a meta-analysis, use the function confounded_meta to compute point estimates and inference for: (1) the proportion of studies with true causal effect sizes more extreme than a specified threshold of scientific importance; and (2) the minimum bias factor and confounding strength required to reduce to less than a specified threshold the proportion of studies with true effect sizes of scientifically significant size. The functions sens_plot() and sens_table() create plots and tables for visualizing these meta-analysis metrics across a range of bias values, and scrape_meta helps scrape study-level data from a published forest plot or summary table to obtain the needed estimates when these are not reported. (See Mathur & VanderWeele [<https://osf.io/jkhfg/>] for details.) Most of the analyses available in this package can also be conducted using web-based graphical interfaces (for a single observational study: <https://mmathur.shinyapps.io/evalue/>; for a meta-analysis: <https://mmathur.shinyapps.io/meta_gui_2/>).
Author: Maya B. Mathur, Peng Ding, Tyler J. VanderWeele
Maintainer: Maya B. Mathur <mmathur@stanford.edu>

Diff between EValue versions 1.0.0 dated 2017-10-30 and 1.1.0 dated 2017-11-29

 EValue-1.0.0/EValue/man/biasPlot.Rd        |only
 EValue-1.1.0/EValue/DESCRIPTION            |   11 
 EValue-1.1.0/EValue/MD5                    |   29 -
 EValue-1.1.0/EValue/NAMESPACE              |    2 
 EValue-1.1.0/EValue/R/EValue.R             |  567 +++++++++++++++--------------
 EValue-1.1.0/EValue/man/bias_plot.Rd       |only
 EValue-1.1.0/EValue/man/confounded_meta.Rd |   56 +-
 EValue-1.1.0/EValue/man/evalues.HR.Rd      |    2 
 EValue-1.1.0/EValue/man/evalues.MD.Rd      |    2 
 EValue-1.1.0/EValue/man/evalues.OR.Rd      |    2 
 EValue-1.1.0/EValue/man/evalues.RD.Rd      |    2 
 EValue-1.1.0/EValue/man/scrape_meta.Rd     |   10 
 EValue-1.1.0/EValue/man/sens_plot.Rd       |   64 +--
 EValue-1.1.0/EValue/man/sens_table.Rd      |   62 +--
 EValue-1.1.0/EValue/man/stronger_than.Rd   |   27 -
 EValue-1.1.0/EValue/man/threshold.Rd       |    3 
 EValue-1.1.0/EValue/tests                  |only
 17 files changed, 432 insertions(+), 407 deletions(-)

More information about EValue at CRAN
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Package oapackage (with last version 2.0.23) was removed from CRAN

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

2015-07-12 2.0.23
2015-06-19 2.0.22
2015-06-18 2.0.20
2015-06-17 2.0.17

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