Sat, 18 May 2019

New package nLTT with initial version 1.4.1
Package: nLTT
Type: Package
Title: Calculate the NLTT Statistic
Version: 1.4.1
Authors@R: c(person("Thijs","Janzen", email = "thijsjanzen@gmail.com",role=c("aut","cre")), person("Richel","Bilderbeek",email="richel@richelbilderbeek.nl", role=c("aut")))
Description: Provides functions to calculate the normalised Lineage-Through- Time (nLTT) statistic, given two phylogenetic trees. The nLTT statistic measures the difference between two Lineage-Through-Time curves, where each curve is normalised both in time and in number of lineages.
License: GPL-2
Imports: ape, coda, deSolve, testit
Suggests: DDD, ggplot2, Hmisc, knitr, microbenchmark, plyr, reshape2, rmarkdown, TESS, testthat, TreeSim
NeedsCompilation: no
Packaged: 2019-05-18 11:03:54 UTC; janzen
RoxygenNote: 6.1.1
VignetteBuilder: knitr
URL: https://github.com/richelbilderbeek/nLTT
BugReports: https://github.com/richelbilderbeek/nLTT/issues
Author: Thijs Janzen [aut, cre], Richel Bilderbeek [aut]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-18 23:10:04 UTC

More information about nLTT at CRAN
Permanent link

Package creditmodel updated to version 1.1.0 with previous version 1.0 dated 2019-04-28

Title: Build Binary Classification Models in One Integrated Offering
Description: Provides a toolkit for building predictive models in one integrated offering. Contains infrastructure functionalities such as data exploration and preparation, missing values treatment, outliers treatment, variable derivation, variable selection, dimensionality reduction, grid search for hyperparameters, data mining and visualization, model evaluation, strategy analysis etc. 'creditmodel' is designed to make the development of binary classification models (machine learning based models as well as credit scorecard) simpler and faster. The references including: 1.Anderson, R. (2007). The credit scoring toolkit: Theory and practice for retail credit risk management and decision automation. 2.Find, S. (2012, ISBN13: 9780230347762). Credit scoring, response modelling and insurance rating:A practical guide to forecasting consumer behaviour.
Author: Dongping Fan [aut, cre]
Maintainer: Dongping Fan <fdp@pku.edu.cn>

Diff between creditmodel versions 1.0 dated 2019-04-28 and 1.1.0 dated 2019-05-18

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More information about creditmodel at CRAN
Permanent link

Package funrar updated to version 1.3.0 with previous version 1.2.2 dated 2018-03-05

Title: Functional Rarity Indices Computation
Description: Computes functional rarity indices as proposed by Violle et al. (2017) <doi:10.1016/j.tree.2017.02.002>. Various indices can be computed using both regional and local information. Functional Rarity combines both the functional aspect of rarity as well as the extent aspect of rarity. 'funrar' is presented in Grenié et al. (2017) <doi:10.1111/ddi.12629>.
Author: Matthias Grenié [aut, cre] (<https://orcid.org/0000-0002-4659-7522>), Pierre Denelle [aut] (<https://orcid.org/0000-0001-5037-2281>), Caroline Tucker [aut] (<https://orcid.org/0000-0002-4871-2010>), François Munoz [ths] (<https://orcid.org/0000-0001-8776-4705>), Cyrille Violle [ths] (<https://orcid.org/0000-0002-2471-9226>)
Maintainer: Matthias Grenié <matthias.grenie@gmail.com>

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Package dmai updated to version 0.4.0 with previous version 0.3.0 dated 2019-04-11

Title: Divisia Monetary Aggregates Index
Description: Functions to calculate Divisia monetary aggregates index as given in Barnett, W. A. (1980) (<DOI:10.1016/0304-4076(80)90070-6>).
Author: Muhammad Yaseen [aut, cre], Ahmad Nadeem [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package BNPmix updated to version 0.1.2 with previous version 0.1.1 dated 2019-03-29

Title: Algorithms for Pitman-Yor Process Mixtures
Description: Performs Bayesian nonparametric univariate and multivariate density estimation and clustering by means of Pitman-Yor mixtures and Dependent Dirichlet process mixtures for partially exchangeable data.
Author: Riccardo Corradin [aut, cre], Antonio Canale [ctb], Bernardo Nipoti [ctb]
Maintainer: Riccardo Corradin <riccardo.corradin@gmail.com>

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Package CommEcol updated to version 1.7.0 with previous version 1.6.5 dated 2017-11-20

Title: Community Ecology Analyses
Description: Autosimilarity curves, standardization of spatial extent, dissimilarity indexes that overweight rare species, phylogenetic and functional (pairwise and multisample) dissimilarity indexes and nestedness for phylogenetic, functional and other diversity metrics. This should be a complement to available packages, particularly 'vegan'.
Author: Adriano Sanches Melo
Maintainer: Adriano Sanches Melo <asm.adrimelo@gmail.com>

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Package permutes updated to version 0.1.1 with previous version 0.1 dated 2018-05-18

Title: Permutation Tests for Time Series Data
Description: Helps you determine the analysis window to use when analyzing densely-sampled time-series data, such as EEG data, using permutation testing (Maris & Oostenveld 2007) <doi:10.1016/j.jneumeth.2007.03.024>. These permutation tests can help identify the timepoints where significance of an effect begins and ends, and the results can be plotted in various types of heatmap for reporting.
Author: Cesko C. Voeten [aut, cre]
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>

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Package mdsstat updated to version 0.3.1 with previous version 0.3.0 dated 2019-04-11

Title: Statistical Trending for Medical Devices Surveillance
Description: A collection of common statistical algorithms used in active surveillance of medical device events. Context includes post-market surveillance, pharmacovigilance, signal detection and trending, and regulatory reporting. Primary inputs are device-event time series. Outputs include trending results with the ability to run multiple algorithms at once. This package works well with the 'mds' package, but does not require it.
Author: Gary Chung [aut, cre], Zhiheng Xu [ctb] (derived code for `cp_mean()`), Stephane Bottine [ctb] (derived code from 'SPRT' package), Ismaïl Ahmed [ctb] (derived code from 'PhViD' package), John Ihrie [ctb] (derived code from 'openEBGM' package)
Maintainer: Gary Chung <gchung05@gmail.com>

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Package paws updated to version 0.1.1 with previous version 0.1.0 dated 2019-05-09

Title: Amazon Web Services Software Development Kit
Description: Interface to Amazon Web Services <https://aws.amazon.com>, including storage, database, and compute services, such as 'Simple Storage Service' ('S3'), 'DynamoDB' 'NoSQL' database, and 'Lambda' functions-as-a-service.
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

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Package tmbstan updated to version 1.0.2 with previous version 1.0.1 dated 2018-11-09

Title: MCMC Sampling from 'TMB' Model Object using 'Stan'
Description: Enables all 'rstan' functionality for a 'TMB' model object, in particular MCMC sampling and chain visualization. Sampling can be performed with or without Laplace approximation for the random effects.
Author: Kasper Kristensen
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package gamlss updated to version 5.1-4 with previous version 5.1-3 dated 2019-03-20

Title: Generalised Additive Models for Location Scale and Shape
Description: Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.
Author: Mikis Stasinopoulos [aut, cre, cph], Bob Rigby [aut], Vlasios Voudouris [ctb], Calliope Akantziliotou [ctb], Marco Enea [ctb], Daniil Kiose [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

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Package stplanr updated to version 0.2.10 with previous version 0.2.9 dated 2019-05-10

Title: Sustainable Transport Planning
Description: Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. Enables common transport planning tasks including: downloading and cleaning transport datasets; creating geographic "desire lines" from origin-destination (OD) data; route assignment, locally and via interfaces to routing services such as <http://cyclestreets.net/>; calculation of route segment attributes such as bearing and aggregate flow; and 'travel watershed' analysis. See Lovelace and Ellison (2018) <doi:10.32614/RJ-2018-053>.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Richard Ellison [aut], Malcolm Morgan [aut] (<https://orcid.org/0000-0001-5679-6536>), Barry Rowlingson [ctb] (Author of overline), Nick Bearman [ctb] (Co-author of gclip), Nikolai Berkoff [ctb] (Co-author of line2route), Scott Chamberlin [rev] (Scott reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/10), Mark Padgham [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package protr updated to version 1.6-2 with previous version 1.6-1 dated 2019-02-24

Title: Generating Various Numerical Representation Schemes for Protein Sequences
Description: Comprehensive toolkit for generating various numerical features of protein sequences described in Xiao et al. (2015) <DOI:10.1093/bioinformatics/btv042>. For full functionality, the software 'ncbi-blast+' is needed, see <https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE_TYPE=BlastDocs&DOC_TYPE=Download> for more information.
Author: Nan Xiao [aut, cre] (<https://orcid.org/0000-0002-0250-5673>), Qing-Song Xu [aut], Dong-Sheng Cao [aut]
Maintainer: Nan Xiao <me@nanx.me>

Diff between protr versions 1.6-1 dated 2019-02-24 and 1.6-2 dated 2019-05-18

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Package BoomSpikeSlab updated to version 1.1.0 with previous version 1.0.0 dated 2018-04-30

Title: MCMC for Spike and Slab Regression
Description: Spike and slab regression a la McCulloch and George (1997).
Author: Steven L. Scott <steve.the.bayesian@gmail.com>
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

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Permanent link

Package knitr updated to version 1.23 with previous version 1.22 dated 2019-03-08

Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Adam Vogt [ctb], Alastair Andrew [ctb], Alex Zvoleff [ctb], Andre Simon [ctb] (the CSS files under inst/themes/ were derived from the Highlight package http://www.andre-simon.de), Aron Atkins [ctb], Aaron Wolen [ctb], Ashley Manton [ctb], Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), Ben Baumer [ctb], Brian Diggs [ctb], Brian Zhang [ctb], Cassio Pereira [ctb], Christophe Dervieux [ctb], David Hugh-Jones [ctb], David Robinson [ctb], Doug Hemken [ctb], Duncan Murdoch [ctb], Elio Campitelli [ctb], Emily Riederer [ctb], Fabian Hirschmann [ctb], Fitch Simeon [ctb], Forest Fang [ctb], Frank E Harrell Jr [ctb] (the Sweavel package at inst/misc/Sweavel.sty), Garrick Aden-Buie [ctb], Gregoire Detrez [ctb], Hadley Wickham [ctb], Hao Zhu [ctb], Heewon Jeon [ctb], Henrik Bengtsson [ctb], Hiroaki Yutani [ctb], Ian Lyttle [ctb], Hodges Daniel [ctb], Jake Burkhead [ctb], James Manton [ctb], Jared Lander [ctb], Jason Punyon [ctb], Javier Luraschi [ctb], Jeff Arnold [ctb], Jenny Bryan [ctb], Jeremy Ashkenas [ctb, cph] (the CSS file at inst/misc/docco-classic.css), Jeremy Stephens [ctb], Jim Hester [ctb], Joe Cheng [ctb], Johannes Ranke [ctb], John Honaker [ctb], John Muschelli [ctb], Jonathan Keane [ctb], JJ Allaire [ctb], Johan Toloe [ctb], Jonathan Sidi [ctb], Joseph Larmarange [ctb], Julien Barnier [ctb], Kaiyin Zhong [ctb], Kamil Slowikowski [ctb], Karl Forner [ctb], Kevin K. Smith [ctb], Kirill Mueller [ctb], Kohske Takahashi [ctb], Lorenz Walthert [ctb], Lucas Gallindo [ctb], Marius Hofert [ctb], Martin Modrák [ctb], Michael Chirico [ctb], Michael Friendly [ctb], Michal Bojanowski [ctb], Michel Kuhlmann [ctb], Miller Patrick [ctb], Nacho Caballero [ctb], Nick Salkowski [ctb], Noam Ross [ctb], Obada Mahdi [ctb], Qiang Li [ctb], Ramnath Vaidyanathan [ctb], Richard Cotton [ctb], Robert Krzyzanowski [ctb], Romain Francois [ctb], Ruaridh Williamson [ctb], Scott Kostyshak [ctb], Sebastian Meyer [ctb], Sietse Brouwer [ctb], Simon de Bernard [ctb], Sylvain Rousseau [ctb], Taiyun Wei [ctb], Thibaut Assus [ctb], Thibaut Lamadon [ctb], Thomas Leeper [ctb], Tim Mastny [ctb], Tom Torsney-Weir [ctb], Trevor Davis [ctb], Viktoras Veitas [ctb], Weicheng Zhu [ctb], Wush Wu [ctb], Zachary Foster [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between knitr versions 1.22 dated 2019-03-08 and 1.23 dated 2019-05-18

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Permanent link

Package Thermimage updated to version 3.2.1 with previous version 3.1.4 dated 2019-04-10

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. v3.2. Fixed the various functions related to finding frame times.
Author: Glenn J. Tattersall
Maintainer: Glenn J. Tattersall <gtatters@brocku.ca>

Diff between Thermimage versions 3.1.4 dated 2019-04-10 and 3.2.1 dated 2019-05-18

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More information about Thermimage at CRAN
Permanent link

Package radiant updated to version 0.9.9.1 with previous version 0.9.9 dated 2019-03-10

Title: Business Analytics using R and Shiny
Description: A platform-independent browser-based interface for business analytics in R, based on the shiny package. The application combines the functionality of radiant.data, radiant.design, radiant.basics, radiant.model, and radiant.multivariate.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant versions 0.9.9 dated 2019-03-10 and 0.9.9.1 dated 2019-05-18

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Permanent link

Package OHPL updated to version 1.4 with previous version 1.3 dated 2017-08-08

Title: Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Description: Ordered homogeneity pursuit lasso (OHPL) algorithm for group variable selection proposed in Lin et al. (2017) <DOI:10.1016/j.chemolab.2017.07.004>. The OHPL method exploits the homogeneity structure in high-dimensional data and enjoys the grouping effect to select groups of important variables automatically. This feature makes it particularly useful for high-dimensional datasets with strongly correlated variables, such as spectroscopic data.
Author: You-Wu Lin [aut], Nan Xiao [cre] (<https://orcid.org/0000-0002-0250-5673>)
Maintainer: Nan Xiao <me@nanx.me>

Diff between OHPL versions 1.3 dated 2017-08-08 and 1.4 dated 2019-05-18

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More information about OHPL at CRAN
Permanent link

Package glmmfields updated to version 0.1.3 with previous version 0.1.2 dated 2019-03-08

Title: Generalized Linear Mixed Models with Robust Random Fields for Spatiotemporal Modeling
Description: Implements Bayesian spatial and spatiotemporal models that optionally allow for extreme spatial deviations through time. 'glmmfields' uses a predictive process approach with random fields implemented through a multivariate-t distribution instead of the usual multivariate normal. Sampling is conducted with 'Stan'. References: Anderson and Ward (2019) <doi:10.1002/ecy.2403>.
Author: Sean C. Anderson [aut, cre], Eric J. Ward [aut], Trustees of Columbia University [cph]
Maintainer: Sean C. Anderson <sean@seananderson.ca>

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Permanent link

Package FSAdata updated to version 0.3.8 with previous version 0.3.7 dated 2019-03-24

Title: Data to Support Fish Stock Assessment ('FSA') Package
Description: The datasets to support the Fish Stock Assessment ('FSA') package.
Author: Derek Ogle [aut, cre] (<https://orcid.org/0000-0002-0370-9299>)
Maintainer: Derek Ogle <derek@derekogle.com>

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 330 files changed, 1660 insertions(+), 1082 deletions(-)

More information about FSAdata at CRAN
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Package enpls updated to version 6.1 with previous version 6.0 dated 2018-05-13

Title: Ensemble Partial Least Squares Regression
Description: An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
Author: Nan Xiao [aut, cre] (<https://orcid.org/0000-0002-0250-5673>), Dong-Sheng Cao [aut], Miao-Zhu Li [aut], Qing-Song Xu [aut]
Maintainer: Nan Xiao <me@nanx.me>

Diff between enpls versions 6.0 dated 2018-05-13 and 6.1 dated 2019-05-18

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 enpls-6.0/enpls/vignettes/enpls.css       |only
 enpls-6.1/enpls/DESCRIPTION               |   12 
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 enpls-6.1/enpls/NEWS.md                   |    8 
 enpls-6.1/enpls/R/cv.enpls.R              |   64 +-
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 enpls-6.1/enpls/R/enpls.fit.R             |  125 ++--
 enpls-6.1/enpls/R/enpls.fs.R              |  136 ++--
 enpls-6.1/enpls/R/enpls.od.R              |  156 ++---
 enpls-6.1/enpls/R/enspls.ad.R             |  250 ++++----
 enpls-6.1/enpls/R/enspls.fit.R            |  110 +--
 enpls-6.1/enpls/R/enspls.fs.R             |  115 +---
 enpls-6.1/enpls/R/enspls.od.R             |  139 ++--
 enpls-6.1/enpls/R/evaluate.R              |   25 
 enpls-6.1/enpls/R/plot.enpls.R            |  324 +++++------
 enpls-6.1/enpls/R/plot.enspls.R           |  317 +++++------
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 enpls-6.1/enpls/R/predict.enspls.R        |   38 -
 enpls-6.1/enpls/R/print.enpls.R           |  176 ++----
 enpls-6.1/enpls/R/print.enspls.R          |  189 +++---
 enpls-6.1/enpls/README.md                 |   14 
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 62 files changed, 2234 insertions(+), 1938 deletions(-)

More information about enpls at CRAN
Permanent link


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