Tue, 23 Jul 2019

Package RStoolbox updated to version 0.2.6 with previous version 0.2.4 dated 2019-01-08

Title: Tools for Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as calculating spectral indices, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [cre, aut], Ned Horning [aut], Jakob Schwalb-Willmann [aut], Robert J. Hijmans [ctb]
Maintainer: Benjamin Leutner <rstoolboxpackage@gmail.com>

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 RStoolbox-0.2.6/RStoolbox/DESCRIPTION                                                                       |   12 
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 RStoolbox-0.2.6/RStoolbox/man/writeSLI.Rd                                                                   |    4 
 RStoolbox-0.2.6/RStoolbox/src/RcppExports.cpp                                                               |    9 
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 RStoolbox-0.2.6/RStoolbox/tests/testthat/test-getMeta.R                                                     |    1 
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Package plm updated to version 2.1-0 with previous version 2.0-2 dated 2019-06-21

Title: Linear Models for Panel Data
Description: A set of estimators and tests for panel data econometrics, as described in Baltagi (2013) Econometric Analysis of Panel Data, ISBN-13:978-1-118-67232-7, Hsiao (2014) Analysis of Panel Data <doi:10.1017/CBO9781139839327> and Croissant and Millo (2018), Panel Data Econometrics with R, ISBN:978-1-118-94918-4.
Author: Yves Croissant [aut, cre], Giovanni Millo [aut], Kevin Tappe [aut], Ott Toomet [ctb], Christian Kleiber [ctb], Achim Zeileis [ctb], Arne Henningsen [ctb], Liviu Andronic [ctb], Nina Schoenfelder [ctb]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>

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Package CNVScope updated to version 2.7.0 with previous version 1.9.7 dated 2018-10-20

Title: A Versatile Toolkit for Copy Number Variation Relationship Data Analysis and Visualization
Description: Provides the ability to create interaction maps, discover CNV map domains (edges), gene annotate interactions, and create interactive visualizations of these CNV interaction maps.
Author: James Dalgeish, Yonghong Wang, Jack Zhu, Paul Meltzer
Maintainer: James Dalgleish <james.dalgleish@nih.gov>

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Package spmoran updated to version 0.1.7 with previous version 0.1.6.2 dated 2019-02-25

Title: Moran Eigenvector-Based Spatial Regression Models
Description: Functions for estimating Moran's eigenvector-based spatial regression models. For details see Murakami (2019) <arXiv:1703.04467>.
Author: Daisuke Murakami
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>

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Package MedSurvey updated to version 1.1.1.1.0 with previous version 1.1.1.0 dated 2019-04-24

Title: Mediation Analysis for Complex Surveys
Description: It is a computer tool to conduct mediation analysis for complex surveys using multi-stage sampling. Specifically, the mediation analysis method using balanced repeated replications was proposed by Mai, Ha, and Soulakova (2019) <DOI:10.1080/10705511.2018.1559065>. The development of 'MedSurvey' was sponsored by American Lebanese Syrian Associated Charities (ALSAC). However, the contents of MedSurvey do not necessarily represent the policy of the ALSAC.
Author: Yujiao Mai [aut], Jiahui Xu [aut], Deo Kumar Srivastava [aut], Hui Zhang [aut,cre]
Maintainer: Hui Zhang <hzhang@northwestern.edu>

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Package cmna updated to version 1.0.2 with previous version 1.0.0 dated 2017-06-13

Title: Computational Methods for Numerical Analysis
Description: Provides the source and examples for James P. Howard, II, "Computational Methods for Numerical Analysis with R," <http://howardjp.github.io/cmna/>, a book on numerical methods in R.
Author: James Howard [aut, cre] (<https://orcid.org/0000-0003-4530-1547>)
Maintainer: James Howard <jh@jameshoward.us>

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Package restatapi updated to version 0.2.3 with previous version 0.1.9 dated 2019-05-27

Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX <https://sdmx.org>) Web Services (<https://ec.europa.eu/eurostat/web/sdmx-web-services/about-this-service>) to search and download data from the Eurostat database using the SDMX standard.
Author: Mátyás Mészáros [aut, cre]
Maintainer: Mátyás Mészáros <matyas.meszaros@ec.europa.eu>

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Package pcFactorStan updated to version 1.0.1 with previous version 0.11 dated 2019-06-11

Title: Stan Models for the Pairwise Comparison Factor Model
Description: Provides convenience functions and pre-programmed Stan models related to the paired comparison factor model. Its purpose is to make fitting paired comparison data using Stan easy.
Author: Joshua N. Pritikin [aut, cre] (<https://orcid.org/0000-0002-9862-5484>), Daniel C. Furr [ctb], Trustees of Columbia University [cph]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>

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Package readwritesqlite updated to version 0.0.2 with previous version 0.0.1 dated 2019-07-11

Title: Enhanced Reading and Writing for 'SQLite' Databases
Description: Reads and writes data frames to 'SQLite' databases while preserving time zones (for POSIXct columns), projections (for 'sfc' columns), units (for 'units' columns), levels (for factors and ordered factors) and classes for logical, Date and 'hms' columns. It also logs changes to tables and provides more informative error messages.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package mlflow updated to version 1.1.0 with previous version 1.0.0 dated 2019-06-06

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), RStudio [cph]
Maintainer: Matei Zaharia <matei@databricks.com>

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Package BNPmix updated to version 0.2.2 with previous version 0.1.2 dated 2019-05-18

Title: Bayesian Nonparametric Mixture Models
Description: Functions to perform 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 rosetta updated to version 0.1.0 with previous version 0.0.1 dated 2019-02-08

Title: Parallel Use of Statistical Packages in Teaching
Description: When teaching statistics, it can often be desirable to uncouple the content from specific software packages. To ease such efforts, the Rosetta Stats website (<https://rosettastats.com>) allows comparing analyses in different packages. This package is the companion to the Rosetta Stats website, aiming to provide functions that produce output that is similar to output from other statistical packages, thereby facilitating 'software-agnostic' teaching of statistics.
Author: Gjalt-Jorn Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>), Ron Pat-El [ctb] (<https://orcid.org/0000-0002-4742-0163>), Peter Verboon [ctb] (<https://orcid.org/0000-0001-8656-0890>)
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@userfriendlyscience.com>

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Package robcbi updated to version 1.1-3 with previous version 1.1-2 dated 2018-06-22

Title: Conditionally Unbiased Bounded Influence Estimates
Description: Conditionally unbiased bounded influence estimates as described in Kuensch et al. (1989) <doi:10.1080/01621459.1989.10478791> in three special cases of the generalized linear model: Bernoulli, Binomial, and Poisson distributed responses.
Author: Alfio Marazzi <Alfio.Marazzi@unisante.ch>
Maintainer: A. Randriamiharisoa <exelami@gmail.com>

Diff between robcbi versions 1.1-2 dated 2018-06-22 and 1.1-3 dated 2019-07-23

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Package mlr3misc updated to version 0.1.1 with previous version 0.1.0 dated 2019-07-10

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3misc versions 0.1.0 dated 2019-07-10 and 0.1.1 dated 2019-07-23

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Package fastGraph updated to version 2.1 with previous version 2.0 dated 2019-07-09

Title: Fast Drawing and Shading of Graphs of Statistical Distributions
Description: Provides functionality to produce graphs of probability density functions and cumulative distribution functions with few keystrokes, allows shading under the curve of the probability density function to illustrate concepts such as p-values and critical values, and fits a simple linear regression line on a scatter plot with the equation as the main title.
Author: Steven T. Garren
Maintainer: Steven T. Garren <garrenst@jmu.edu>

Diff between fastGraph versions 2.0 dated 2019-07-09 and 2.1 dated 2019-07-23

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New package slm with initial version 1.0.0
Package: slm
Type: Package
Title: Stationary Linear Models
Version: 1.0.0
Author: Emmanuel Caron, Jérôme Dedecker, Bertrand Michel
Maintainer: Emmanuel Caron <emmanuelcaron3@gmail.com>
Description: Provides statistical procedures for linear regression in the general context where the errors are assumed to be correlated. Different ways to estimate the asymptotic covariance matrix of the least squares estimators are available. Starting from this estimation of the covariance matrix, the confidence intervals and the usual tests on the parameters are modified. The functions of this package are very similar to those of 'lm': it contains methods such as summary(), plot(), confint() and predict(). The 'slm' package is described in the paper by E. Caron, J. Dedecker and B. Michel (2019), "Linear regression with stationary errors: the R package slm", arXiv preprint <arXiv:1906.06583>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 2.10)
Collate: 'slm-main.R' 'slm.R' 'generative.R' 'auxiliary-fun.R' 'slm-method.R' 'data.R'
Imports: ltsa, methods, stats, capushe
NeedsCompilation: no
Packaged: 2019-07-20 13:40:51 UTC; emmanuel
Repository: CRAN
Date/Publication: 2019-07-23 14:40:02 UTC

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Package MetaIntegrator updated to version 2.1.1 with previous version 2.1.0 dated 2019-07-23

Title: Meta-Analysis of Gene Expression Data
Description: A pipeline for the meta-analysis of gene expression data. We have assembled several analysis and plot functions to perform integrated multi-cohort analysis of gene expression data (meta- analysis). Methodology described in: <http://biorxiv.org/content/early/2016/08/25/071514>.
Author: Winston A. Haynes, Francesco Vallania, Aurelie Tomczak, Timothy Sweeney, Erika Bongen, Aditya M. Rao, Purvesh Khatri
Maintainer: Aditya M. Rao <adityamr@stanford.edu>

Diff between MetaIntegrator versions 2.1.0 dated 2019-07-23 and 2.1.1 dated 2019-07-23

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New package cvGEE with initial version 0.3-0
Package: cvGEE
Title: Cross-Validated Predictions from GEE
Version: 0.3-0
Authors@R: person("Dimitris", "Rizopoulos", email = "d.rizopoulos@erasmusmc.nl", role = c("aut", "cre"), comment = c(ORCID = '0000-0001-9397-0900'))
Date: 2019-07-20
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
BugReports: https://github.com/drizopoulos/cvGEE/issues
Description: Calculates predictions from generalized estimating equations and internally cross-validates them using the logarithmic, quadratic and spherical proper scoring rules; Kung-Yee Liang and Scott L. Zeger (1986) <doi:10.1093/biomet/73.1.13>.
Suggests: geepack, lattice, knitr, rmarkdown, pkgdown
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
License: GPL (>= 3)
URL: https://drizopoulos.github.io/cvGEE/, https://github.com/drizopoulos/cvGEE
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-20 18:16:39 UTC; drizo
Author: Dimitris Rizopoulos [aut, cre] (<https://orcid.org/0000-0001-9397-0900>)
Repository: CRAN
Date/Publication: 2019-07-23 14:52:05 UTC

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New package CorrectOverloadedPeaks with initial version 1.2.17
Package: CorrectOverloadedPeaks
Type: Package
Title: Correct Overloaded Peaks from GC-APCI-MS Data
Version: 1.2.17
Date: 2019-07-23
Authors@R: person("Jan", "Lisec", role = c("aut", "cre"), email = "jan.lisec@bam.de")
Author: Jan Lisec [aut, cre]
Description: Analyzes and modifies metabolomics raw data (generated using GC-APCI-MS, Gas Chromatography-Atmospheric Pressure Chemical Ionization-Mass Spectrometry) to correct overloaded signals, i.e. ion intensities exceeding detector saturation leading to a cut-off peak. Data in xcmsRaw format are accepted as input and mzXML files can be processed alternatively. Overloaded signals are detected automatically and modified using an Gaussian or Isotopic-Ratio approach, QC plots are generated and corrected data are stored within the original xcmsRaw or mzXML respectively to allow further processing.
License: GPL-3
URL: http://dx.doi.org/10.1021/acs.analchem.6b02515
VignetteBuilder: knitr
Depends: R(>= 2.10.0)
Imports: XML, digest, bitops
Suggests: xcms, knitr, rmarkdown
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-23 12:26:03 UTC; jlisec
Maintainer: Jan Lisec <jan.lisec@bam.de>
Repository: CRAN
Date/Publication: 2019-07-23 14:42:06 UTC

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Package AGHmatrix updated to version 1.0.1 with previous version 1.0.0 dated 2019-07-12

Title: Relationship Matrices for Diploid and Autopolyploid Species
Description: Computation of A (pedigree), G (genomic-base), and H (A corrected by G) relationship matrices for diploid and autopolyploid species. Several methods are implemented considering additive and non-additive models.
Author: Rodrigo Amadeu [aut, cre], Catherine Cellon [ctb], Leticia Lara [ctb], Marcio Resende [ctb], Ivone Oliveira [ctb], Luis Ferrao [ctb], Patricio Munoz [ctb], Augusto Garcia [ctb]
Maintainer: Rodrigo Amadeu <rramadeu@ufl.edu>

Diff between AGHmatrix versions 1.0.0 dated 2019-07-12 and 1.0.1 dated 2019-07-23

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New package acfMPeriod with initial version 1.0.0
Package: acfMPeriod
Type: Package
Title: Robust Estimation of the ACF from the M-Periodogram
Version: 1.0.0
Author: Higor Cotta, Valderio Reisen, Pascal Bondon and Céline Lévy-Leduc
Maintainer: Higor Cotta <cotta.higor@gmail.com>
Depends: R (>= 3.2.2), MASS
Description: Non-robust and robust computations of the sample autocovariance (ACOVF) and sample autocorrelation functions (ACF) of univariate and multivariate processes. The methodology consists in reversing the diagonalization procedure involving the periodogram or the cross-periodogram and the Fourier transform vectors, and, thus, obtaining the ACOVF or the ACF as discussed in Fuller (1995) <doi:10.1002/9780470316917>. The robust version is obtained by fitting robust M-regressors to obtain the M-periodogram or M-cross-periodogram as discussed in Reisen et al. (2017) <doi:10.1016/j.jspi.2017.02.008>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-19 23:36:17 UTC; higor
Repository: CRAN
Date/Publication: 2019-07-23 14:22:05 UTC

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New package tidymargins with initial version 0.1.0
Package: tidymargins
Type: Package
Title: Tidy Marginal Functions
Version: 0.1.0
Authors@R: person("Andrew", "Redd", role = c("aut", "cre") , email = "Andrew.Redd@hsc.utah.edu" , comment = c(ORCID = "https://orcid.org/000-0002-6149-2438") )
Maintainer: Andrew Redd <Andrew.Redd@hsc.utah.edu>
Description: Provides the ability to easily perform functions over all margins of a grouped data frame.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Imports: assertthat, dplyr, forcats, magrittr, pkgcond, purrr, rlang, tidyr, tidyselect, utils
Suggests: covr, testthat
RoxygenNote: 6.1.1
URL: https://github.com/halpo/tidymargins
BugReports: https://github.com/halpo/tidymargins/issues
NeedsCompilation: no
Packaged: 2019-07-19 15:46:54 UTC; u0092104
Author: Andrew Redd [aut, cre] (<https://orcid.org/000-0002-6149-2438>)
Repository: CRAN
Date/Publication: 2019-07-23 13:40:02 UTC

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New package pCODE with initial version 0.9.1
Package: pCODE
Type: Package
Title: Estimation of an ODE Model by Parameter Cascade Method
Version: 0.9.1
Imports: fda, pracma, MASS, deSolve, base, stats
Depends: R (>= 3.5.0)
Authors@R: c( person("Haixu", "Wang", email = "haixuw@sfu.ca", role = c("aut", "cre")), person("Jiguo", "Cao", email = "jiguo_cao@sfu.ca", role = "aut"))
Description: An implementation of the parameter cascade method for estimating ODE models with missing or complete observations. It combines smoothing method and profile estimation to estimate any non-linear dynamic system. The package also offers variance estimates for parameters of interest based on either bootstrap or Delta method.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, Hmisc, testthat (>= 2.1.0)
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-17 22:13:54 UTC; Inori
Author: Haixu Wang [aut, cre], Jiguo Cao [aut]
Maintainer: Haixu Wang <haixuw@sfu.ca>
Repository: CRAN
Date/Publication: 2019-07-23 13:50:02 UTC

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New package rray with initial version 0.1.0
Package: rray
Title: Simple Arrays
Version: 0.1.0
Authors@R: c(person(given = "Davis", family = "Vaughan", role = c("aut", "cre"), email = "davis@rstudio.com"), person(given = "RStudio", role = "cph"))
Description: Provides a toolkit for manipulating arrays in a consistent, powerful, and intuitive manner through the use of broadcasting and a new array class, the 'rray'.
License: GPL-3
URL: https://github.com/r-lib/rray
BugReports: https://github.com/r-lib/rray/issues
Depends: R (>= 3.2)
Imports: glue, Rcpp (>= 1.0.1), rlang (>= 0.4.0), utils, vctrs (>= 0.2.0)
Suggests: covr, knitr, magrittr, rmarkdown, testthat (>= 2.1.0)
LinkingTo: Rcpp, xtensor (>= 0.11.1-0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-07-19 13:36:39 UTC; davis
Author: Davis Vaughan [aut, cre], RStudio [cph]
Maintainer: Davis Vaughan <davis@rstudio.com>
Repository: CRAN
Date/Publication: 2019-07-23 12:10:03 UTC

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Package ppclust updated to version 0.1.3 with previous version 0.1.2 dated 2019-01-19

Title: Probabilistic and Possibilistic Cluster Analysis
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.
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>

Diff between ppclust versions 0.1.2 dated 2019-01-19 and 0.1.3 dated 2019-07-23

 ppclust-0.1.2/ppclust/inst/doc/pcm.pdf   |only
 ppclust-0.1.3/ppclust/DESCRIPTION        |    8 
 ppclust-0.1.3/ppclust/MD5                |   26 
 ppclust-0.1.3/ppclust/R/fcm.R            |    4 
 ppclust-0.1.3/ppclust/build/vignette.rds |binary
 ppclust-0.1.3/ppclust/inst/NEWS.Rd       |    6 
 ppclust-0.1.3/ppclust/inst/doc/fcm.Rmd   |   10 
 ppclust-0.1.3/ppclust/inst/doc/fcm.html  | 3189 ++++++++++++++++++++++++++++---
 ppclust-0.1.3/ppclust/inst/doc/pcm.Rmd   |   19 
 ppclust-0.1.3/ppclust/inst/doc/pcm.html  |only
 ppclust-0.1.3/ppclust/inst/doc/upfc.Rmd  |    4 
 ppclust-0.1.3/ppclust/inst/doc/upfc.html | 3169 ++++++++++++++++++++++++++++--
 ppclust-0.1.3/ppclust/vignettes/fcm.Rmd  |   10 
 ppclust-0.1.3/ppclust/vignettes/pcm.Rmd  |   19 
 ppclust-0.1.3/ppclust/vignettes/upfc.Rmd |    4 
 15 files changed, 5922 insertions(+), 546 deletions(-)

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New package gitlink with initial version 0.1.3
Package: gitlink
Title: Add 'Git' Links to Your Web Based Assets
Version: 0.1.3
Authors@R: c(person(given = "Cole", family = "Arendt", role = c("aut", "cre"), email = "cole@rstudio.com"), person(given = "RStudio", role = c("cph", "fnd")))
Description: Provides helpers to add 'Git' links to 'shiny' applications, 'rmarkdown' documents, and other 'HTML' based resources. This is most commonly used for 'GitHub' ribbons.
License: MIT + file LICENSE
URL: https://github.com/colearendt/gitlink
BugReports: https://github.com/colearendt/gitlink/issues
Depends: R (>= 3.1)
Imports: htmltools (>= 0.3.6), rlang (>= 0.3.1)
Suggests: covr (>= 3.0.1), spelling (>= 2.0), testthat (>= 2.0.0.9000), rmarkdown, fs, rprojroot, shiny
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-19 12:44:55 UTC; carendt
Author: Cole Arendt [aut, cre], RStudio [cph, fnd]
Maintainer: Cole Arendt <cole@rstudio.com>
Repository: CRAN
Date/Publication: 2019-07-23 12:20:02 UTC

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New package BetaPASS with initial version 1.0-1
Package: BetaPASS
Title: Calculate Power and Sample Size with Beta Regression
Version: 1.0-1
Date: 2019-07-10
Authors@R: c(person("Jinpu", "Li", email = "lijinp@health.missouri.edu", role = c("aut", "cre")), person("Ryan", "Knigge", email = "rknigge@health.missouri.edu", role = "aut"), person("Emily", "Leary", email = "LearyE@health.missouri.edu", role = "aut"))
Description: Power calculations are a critical component of any research study to determine the minimum sample size necessary to detect differences between multiple groups. Researchers often work with data taking the form of proportions that can be modeled with a beta distribution. Here we present an R package, 'BetaPASS', that perform power and sample size calculations for data following a beta distribution with comparative nonparametric output. This package allows flexibility with multiple options for link functions to fit the data and graphing functionality for visual comparisons.
Depends: R (>= 3.5)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Imports: betareg, lmtest, reshape, ggplot2, Rcpp, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-07-19 13:33:11 UTC; birdn
Author: Jinpu Li [aut, cre], Ryan Knigge [aut], Emily Leary [aut]
Maintainer: Jinpu Li <lijinp@health.missouri.edu>
Repository: CRAN
Date/Publication: 2019-07-23 12:10:09 UTC

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New package RaProR with initial version 1.1-4
Package: RaProR
Version: 1.1-4
Date: 2019-07-16
Title: Calculate Sketches using Random Projections to Reduce Large Data Sets
Authors@R: c(person("Leo Nils", "Geppert", role = c("aut", "cre", "cph"), email = "geppert@statistik.uni-dortmund.de"), person("Katja", "Ickstadt", role = c("aut")), person("Alexander", "Munteanu", role = c("aut")), person("Jens", "Quedenfeld", role = c("aut", "cph")), person("Ludger", "Sandig", role = c("aut", "cph")), person("Christian", "Sohler", role = c("aut")))
Imports: utils
Description: Calculate sketches of a data set reducing the number of observations using random projections. These can be used for Bayesian or frequentist linear regression on large data sets as described in Geppert et. al (2017) <doi:10.1007/s11222-015-9608-z>.
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2019-07-16 10:02:41 UTC; ludger
Author: Leo Nils Geppert [aut, cre, cph], Katja Ickstadt [aut], Alexander Munteanu [aut], Jens Quedenfeld [aut, cph], Ludger Sandig [aut, cph], Christian Sohler [aut]
Maintainer: Leo Nils Geppert <geppert@statistik.uni-dortmund.de>
Repository: CRAN
Date/Publication: 2019-07-23 10:20:02 UTC

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New package MBNMAdose with initial version 0.2.2
Package: MBNMAdose
Type: Package
Title: Run Dose-Response MBNMA Models
Version: 0.2.2
Language: en-GB
Date: 2019-07-10
Authors@R: c(person("Hugo", "Pedder", email = "hugopedder@gmail.com", role = c("aut", "cre")), person("David", "Mawdsley", role = c("rev")), person("Nicky", "Welton", role = c("rev")), person("Sofia", "Dias", role = c("rev")), person("Meg", "Bennetts", role = c("rev")), person("Martin", "Boucher", role = c("rev")), person("Adil", "Karim", role = c("ctb")))
URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4999602/
Maintainer: Hugo Pedder <hugopedder@gmail.com>
Description: Fits Bayesian dose-response model-based network meta-analysis (MBNMA) that incorporate multiple doses within an agent by modelling different dose-response functions, as described by Mawdsley et al. (2016) <doi:10.1002/psp4.12091>. By modelling dose-response relationships this can connect networks of evidence that might otherwise be disconnected, and can improve precision on treatment estimates. Several common dose-response functions are provided; others may be added by the user. Various characteristics and assumptions can be flexibly added to the models, such as shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting at the treatment level.
License: GPL-3
Depends: R (>= 3.0.2)
Imports: grDevices, stats, graphics, utils, scales, dplyr (>= 0.7.4), R2jags (>= 0.5-7), rjags (>= 4-8), magrittr (>= 1.5), checkmate (>= 1.8.5), Rdpack (>= 0.11-0), reshape2 (>= 1.4.3)
Suggests: overlapping (>= 1.5.0), ggplot2 (>= 2.2.1), igraph (>= 1.1.2), RColorBrewer (>= 1.1-2), mcmcplots (>= 0.4.3), testthat (>= 1.0.2), knitr, rmarkdown
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.1.1
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2019-07-19 12:09:07 UTC; hp17602
Author: Hugo Pedder [aut, cre], David Mawdsley [rev], Nicky Welton [rev], Sofia Dias [rev], Meg Bennetts [rev], Martin Boucher [rev], Adil Karim [ctb]
Repository: CRAN
Date/Publication: 2019-07-23 10:20:04 UTC

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New package Rsagacmd with initial version 0.0.1
Package: Rsagacmd
Type: Package
Title: Linking R with the Open-Source 'SAGA-GIS' Software
Version: 0.0.1
Date: 2019-07-10
Authors@R: c( person("Steven", "Pawley", email = "dr.stevenpawley@gmail.com", role = c("aut", "cre")))
Maintainer: Steven Pawley <dr.stevenpawley@gmail.com>
Description: Provides an R scripting interface to the open-source 'SAGA-GIS' (System for Automated Geoscientific Analyses Geographical Information System) software. 'Rsagacmd' dynamically generates R functions for every 'SAGA-GIS' geoprocessing tool based on the user's currently installed 'SAGA-GIS' version. These functions are contained within an S3 object and are accessed as a named list of libraries and tools. This structure facilitates an easier scripting experience by organizing the large number of 'SAGA-GIS' geoprocessing tools (>700) by their respective library. Interactive scripting can fully take advantage of code autocompletion tools (e.g. in 'Rstudio'), allowing for each tools syntax to be quickly recognized. Furthermore, the most common types of spatial data (via the 'raster', 'sp', and 'sf' packages) along with non-spatial data are automatically passed from R to the 'SAGA-GIS' command line tool for geoprocessing operations, and the results are loaded as the appropriate R object. Outputs from individual 'SAGA-GIS' tools can also be chained using pipes from the 'magrittr' and 'dplyr' packages to combine complex geoprocessing operations together in a single statement. 'SAGA-GIS' is available under a GPLv2 / LGPLv2 licence from <https://sourceforge.net/projects/saga-gis/> including Windows x86/x84 binaries. SAGA-GIS is also included in Debian/Ubuntu default software repositories and is available for macOS using homebrew (<https://brew.sh/>) from the osgeo/osgeo4mac (<https://github.com/OSGeo/homebrew-osgeo4mac>) formula tap. Rsagacmd has currently been tested on 'SAGA-GIS' versions from 2.3.1 to 7.2.0 on Windows, Linux and macOS.
License: GPL-3
Encoding: UTF-8
SystemRequirements: SAGA-GIS (>= 2.3.1)
LazyData: true
RoxygenNote: 6.1.1
Depends: raster, R (>= 2.10)
Imports: XML, sf, tools, rgdal, foreign, minpack.lm, methods, magrittr, stringr, rlang
Suggests: dplyr, testthat
NeedsCompilation: no
Packaged: 2019-07-18 23:30:58 UTC; steven
Author: Steven Pawley [aut, cre]
Repository: CRAN
Date/Publication: 2019-07-23 09:10:02 UTC

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New package prevederer with initial version 0.0.1
Package: prevederer
Type: Package
Title: Wrapper for the 'Prevedere' API
Version: 0.0.1
Authors@R: c( person("Wil","Davis",,"davis.3243@osu.edu",role=c("aut","cre"),comment = c(ORCID = "0000-0001-9780-2576")), person("Hiram","Foster",,"hiramfoster.co@gmail.com",role=c("ctb")), person("Ted","Dickinson",,"tmdickinson@gmail.com",role=c("ctb")) )
Description: Easy and efficient access to the API provided by 'Prevedere', an industry insights and predictive analytics company. Query and download indicators, models and workbenches built with 'Prevedere' for further analysis and reporting <https://www.prevedere.com/>.
License: MIT + file LICENSE
URL: https://github.com/wkdavis/prevederer, https://api.prevedere.com/index.html, https://www.prevedere.com/
BugReports: https://github.com/wkdavis/prevederer/issues
Depends: R (>= 3.2.0)
Imports: httr
Suggests: testthat (>= 2.1.0), knitr, covr
Encoding: UTF-8
LazyData: yes
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-19 11:08:24 UTC; wkdavis
Author: Wil Davis [aut, cre] (<https://orcid.org/0000-0001-9780-2576>), Hiram Foster [ctb], Ted Dickinson [ctb]
Maintainer: Wil Davis <davis.3243@osu.edu>
Repository: CRAN
Date/Publication: 2019-07-23 09:40:02 UTC

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New package parade with initial version 0.1
Package: parade
Type: Package
Title: Pen's Income Parades
Version: 0.1
Date: 2019-07-19
Author: Marek Hlavac <mhlavac@alumni.princeton.edu>
Maintainer: Marek Hlavac <mhlavac@alumni.princeton.edu>
Description: Tool for producing Pen's parade graphs, useful for visualizing inequalities in income, wages or other variables, as proposed by Pen (1971, ISBN: 978-0140212594). Income or another economic variable is captured by the vertical axis, while the population is arranged in ascending order of income along the horizontal axis. Pen's income parades provide an easy-to-interpret visualization of economic inequalities.
License: GPL (>= 2)
Imports: methods, stats
LazyData: yes
Collate: 'parade-internal.R' 'parade.R'
NeedsCompilation: no
Packaged: 2019-07-19 10:53:37 UTC; Marek
Repository: CRAN
Date/Publication: 2019-07-23 09:40:05 UTC

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New package graph4lg with initial version 0.1.1
Package: graph4lg
Type: Package
Title: Build Graphs for Landscape Genetics Analysis
Version: 0.1.1
Date: 2019-07-18
Author: Paul Savary
Maintainer: Paul Savary <savarypaul660@gmail.com>
Description: Build graphs for landscape genetics analysis. This set of functions can be used to import and convert spatial and genetic data initially in different formats, import landscape graphs created with 'GRAPHAB' software (Foltete et al., 2012) <doi:10.1016/j.envsoft.2012.07.002>, make diagnosis plots of isolation by distance relationships in order to choose how to build genetic graphs, create graphs with a large range of pruning methods, weight their links with several genetic distances, plot and analyse graphs, compare them with other graphs. It uses functions from other packages such as 'adegenet' (Jombart, 2008) <doi:10.1093/bioinformatics/btn129> and 'igraph' (Csardi et Nepusz, 2006) <https://bit.ly/2028mcO>. It also implements methods commonly used in landscape genetics to create graphs, described by Dyer et Nason (2004) <doi:10.1111/j.1365-294X.2004.02177.x> and Greenbaum et Fefferman (2017) <doi:10.1111/mec.14059>, and to analyse distance data (van Strien et al., 2015) <doi:10.1038/hdy.2014.62>.
Depends: R(>= 3.1.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: stringr, adegenet, ade4, stats, Matrix, vegan, utils, methods, pegas, Rdpack, MASS, igraph, doBy, ggplot2, mclust, tidyr, sp, rgdal, sf, Imap, diveRsity, raster, ecodist
RdMacros: Rdpack
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-07-19 10:23:15 UTC; psavary
Repository: CRAN
Date/Publication: 2019-07-23 09:30:02 UTC

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New package UniprotR with initial version 1.0.0
Package: UniprotR
Title: Retrieving Information of Proteins from Uniprot
Version: 1.0.0
Authors@R: c(person("Ali", "Mostafa", email = "ali.mo.anwar@std.agr.cu.edu.eg", role = "aut"), person("Mohamed", "Soudy", email = "MohmedSoudy2009@gmail.com", role=c("aut", "cre")))
Author: Ali Mostafa [aut], Mohamed Soudy [aut, cre]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: httr , ggplot2 , magick , utils , grDevices , graphics , plyr , scales
NeedsCompilation: no
Packaged: 2019-07-18 19:41:24 UTC; Soudy
Repository: CRAN
Date/Publication: 2019-07-23 08:20:03 UTC

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Package PredPsych updated to version 0.4 with previous version 0.3 dated 2017-09-12

Title: Predictive Approaches in Psychology
Description: Recent years have seen an increased interest in novel methods for analyzing quantitative data from experimental psychology. Currently, however, they lack an established and accessible software framework. Many existing implementations provide no guidelines, consisting of small code snippets, or sets of packages. In addition, the use of existing packages often requires advanced programming experience. 'PredPsych' is a user-friendly toolbox based on machine learning predictive algorithms. It comprises of multiple functionalities for multivariate analyses of quantitative behavioral data based on machine learning models.
Author: Atesh Koul
Maintainer: Atesh Koul <atesh.koul@gmail.com>

Diff between PredPsych versions 0.3 dated 2017-09-12 and 0.4 dated 2019-07-23

 DESCRIPTION                    |   12 ++--
 MD5                            |   44 +++++++-------
 R/ClassPerm.R                  |   63 ++++++++++++++++++---
 R/DTModel.R                    |  123 ++++++++++++++++++++++++++++++++---------
 R/DimReduction.R               |    2 
 R/LinearDA.R                   |   39 +++++++++++--
 R/ModelCluster.R               |    4 -
 R/PredPsych-package.r          |    2 
 R/classifyFun.R                |   43 ++++++++++----
 R/fscores.R                    |   15 ++++-
 R/overallConfusionMetrics.R    |    2 
 R/predictNewData.R             |    2 
 man/ClassPerm.Rd               |   17 +++--
 man/DTModel.Rd                 |   13 ++--
 man/DimensionRed.Rd            |    9 +--
 man/KinData.Rd                 |    1 
 man/LinearDA.Rd                |   20 +++---
 man/ModelCluster.Rd            |    9 +--
 man/PredPsych.Rd               |    9 +--
 man/classifyFun.Rd             |   23 +++----
 man/fscore.Rd                  |    9 +--
 man/overallConfusionMetrics.Rd |    9 +--
 man/predictNewData.Rd          |    3 -
 23 files changed, 319 insertions(+), 154 deletions(-)

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Package pubmed.mineR updated to version 1.0.16 with previous version 1.0.15 dated 2019-05-06

Title: Text Mining of PubMed Abstracts
Description: Text mining of PubMed Abstracts (text and XML) from <http://www.ncbi.nlm.nih.gov/pubmed>.
Author: Jyoti Rani, S.Ramachandran, Ab Rauf Shah
Maintainer: S. Ramachandran <ramuigib@gmail.com>

Diff between pubmed.mineR versions 1.0.15 dated 2019-05-06 and 1.0.16 dated 2019-07-23

 DESCRIPTION               |    9 +++++----
 MD5                       |   14 ++++++++------
 NAMESPACE                 |    2 ++
 R/get_DOIs.R              |only
 data/GeneToEntrez.rda     |binary
 data/HGNC2UniprotID.rda   |binary
 data/HGNCdata.rda         |binary
 data/common_words_new.rda |binary
 man/get_DOIs.Rd           |only
 9 files changed, 15 insertions(+), 10 deletions(-)

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Package MetaIntegrator updated to version 2.1.0 with previous version 2.0.0 dated 2018-10-05

Title: Meta-Analysis of Gene Expression Data
Description: A pipeline for the meta-analysis of gene expression data. We have assembled several analysis and plot functions to perform integrated multi-cohort analysis of gene expression data (meta- analysis). Methodology described in: <http://biorxiv.org/content/early/2016/08/25/071514>.
Author: Winston A. Haynes, Francesco Vallania, Aurelie Tomczak, Timothy Sweeney, Erika Bongen, Aditya M. Rao, Purvesh Khatri
Maintainer: Aditya M. Rao <adityamr@stanford.edu>

Diff between MetaIntegrator versions 2.0.0 dated 2018-10-05 and 2.1.0 dated 2019-07-23

 DESCRIPTION                             |   14 
 MD5                                     |   78 ++-
 NAMESPACE                               |    3 
 NEWS                                    |   10 
 R/checkDataObject_functions.R           |    2 
 R/forestPlot.R                          |   10 
 R/geneSymbolCorrection.R                |    2 
 R/getGEOData.R                          |  119 ++++--
 R/immunoStatesMeta.R                    |    2 
 R/imputeSex.R                           |    2 
 R/metaAnalysisFoundation.R              |    4 
 R/multiplePRCPlot.R                     |    2 
 R/multipleROCPlot.R                     |    1 
 R/pooledROCplot.R                       |    4 
 R/prcPlot.R                             |    2 
 R/predvalPlot.R                         |only
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New package Rbeast with initial version 0.2
Package: Rbeast
Type: Package
Version: 0.2
Date: 2019-07-22
Title: Bayesian Change-Point Detection and Time Series Decomposition
Authors@R: c(person(given = "Kaiguang", family = "Zhao", role = c("aut", "cre"), email = "lidar.rs@gmail.com"), person(given = "Tongxi", family = "Hu", role = "aut", email = "hu.1555@osu.edu"), person(given = "Yang", family = "Li", role = "aut", email = "li.10015@osu.edu") )
Author: Kaiguang Zhao [aut, cre], Tongxi Hu [aut], Yang Li [aut]
Maintainer: Kaiguang Zhao <lidar.rs@gmail.com>
Depends: R (>= 2.10.0),methods, utils
Description: Interpretation of time series data is affected by model choices. Different models can give different or even contradicting estimates of patterns, trends, and mechanisms for the same data--a limitation alleviated by the Bayesian estimator of abrupt change,seasonality, and trend (BEAST) of this package. BEAST seeks to improve time series decomposition by forgoing the "single-best-model" concept and embracing all competing models into the inference via a Bayesian model averaging scheme. It is a flexible tool to uncover abrupt changes (i.e., change-points), cyclic variations (e.g., seasonality), and nonlinear trends in time-series observations. BEAST not just tells when changes occur but also quantifies how likely the detected changes are true. It detects not just piecewise linear trends but also arbitrary nonlinear trends. BEAST is applicable to real-valued time series data of all kinds, be it for remote sensing, economics, climate sciences, ecology, and hydrology. Example applications include its use to identify regime shifts in ecological data, map forest disturbance and land degradation from satellite imagery, detect market trends in economic data, pinpoint anomaly and extreme events in climate data, and unravel system dynamics in biological data. Details on BEAST are reported in Zhao et al. (2019).
LazyData: true
License: GPL (>= 2)
NeedsCompilation: yes
RoxygenNote: 6.0.1
Packaged: 2019-07-23 00:37:32 UTC; zhaokg
Repository: CRAN
Date/Publication: 2019-07-23 05:50:02 UTC

More information about Rbeast at CRAN
Permanent link

Package leiden updated to version 0.3.1 with previous version 0.3.0 dated 2019-07-15

Title: R Implementation of Leiden Clustering Algorithm
Description: Implements the 'Python leidenalg' module to be called in R. Enables clustering using the leiden algorithm for partition a graph into communities. See the 'Python' repository for more details: <https://github.com/vtraag/leidenalg> Traag et al (2018) From Louvain to Leiden: guaranteeing well-connected communities. <arXiv:1810.08473>.
Author: S. Thomas Kelly [aut, cre, trl], Vincent A. Traag [com]
Maintainer: S. Thomas Kelly <tom.kelly@riken.jp>

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Package d3r updated to version 0.8.6 with previous version 0.8.5 dated 2019-01-29

Title: 'd3.js' Utilities for R
Description: Provides a suite of functions to help ease the use of 'd3.js' in R. These helpers include 'htmltools::htmlDependency' functions, hierarchy builders, and conversion tools for 'partykit', 'igraph,' 'table', and 'data.frame' R objects into the 'JSON' that 'd3.js' expects.
Author: Mike Bostock [aut, cph] (d3.js library in htmlwidgets/lib, http://d3js.org), Kent Russell [aut, cre] (R interface), Gregor Aisch [aut, cph] (d3-jetpack creator, https://github.com/gka/d3-jetpack), Adam Pearce [aut] (core contributor to d3-jetpack), Ben Ortiz [ctb]
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

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Package Rnets updated to version 1.2.1 with previous version 1.0.2 dated 2018-09-11

Title: Resistance Relationship Networks using Graphical LASSO
Description: Novel methods are needed to analyze the large amounts of antimicrobial resistance (AMR) data generated by AMR surveillance programs. This package is used to estimate resistance relationship networks, or 'Rnets', from empirical antimicrobial susceptibility data. These networks can be used to study relationships between antimicrobial resistances (typically measured using MICs) and genes in populations. The 'GitHub' for this package is available at <https://GitHub.com/EpidemiologyDVM/Rnets>. Bug reports and features requests should be directed to the same 'GitHub' site. The methods used in 'Rnets' are available in the following publications: An overview of the method in WJ Love, et al., "Markov Networks of Collateral Resistance: National Antimicrobial Resistance Monitoring System Surveillance Results from Escherichia coli Isolates, 2004-2012" (2016) <doi:10.1371/journal.pcbi.1005160>; The graphical LASSO for sparsity in J Friedman, T Hastie, R Tibshirani "Sparse inverse covariance estimation with the graphical lasso" (2007) <doi:10.1093/biostatistics/kxm045>; L1 penalty selection in H Liu, K Roeder, L Wasserman "Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models" (2010) <arXiv:1006.3316>; Modularity for graphs with negative edge weights in S Gomez, P Jensen, A Arenas. "Analysis of community structure in networks of correlated data" (2009) <doi:10.1103/PhysRevE.80.016114>.
Author: William Love [aut, cre]
Maintainer: William Love <wjlove@ncsu.edu>

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Package ProFit updated to version 1.3.2 with previous version 1.2.7 dated 2019-04-04

Title: Fit Projected 2D Profiles to Galaxy Images
Description: Get data / Define model / ??? / Profit! 'ProFit' is a Bayesian galaxy fitting tool that uses a fast 'C++' image generation library and a flexible interface to a large number of likelihood samplers.
Author: Aaron Robotham [aut, cre] (<https://orcid.org/0000-0003-0429-3579>), Dan Taranu [aut] (<https://orcid.org/0000-0001-6268-1882>), Rodrigo Tobar [aut] (<https://orcid.org/0000-0002-1052-0611>)
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>

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Package clipr updated to version 0.7.0 with previous version 0.6.0 dated 2019-04-15

Title: Read and Write from the System Clipboard
Description: Simple utility functions to read from and write to the Windows, OS X, and X11 clipboards.
Author: Matthew Lincoln [aut, cre] (<https://orcid.org/0000-0002-4387-3384>), Louis Maddox [ctb], Steve Simpson [ctb], Jennifer Bryan [ctb]
Maintainer: Matthew Lincoln <matthew.d.lincoln@gmail.com>

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Package ckanr updated to version 0.3.0 with previous version 0.1.0 dated 2015-10-22

Title: Client for the Comprehensive Knowledge Archive Network ('CKAN') API
Description: Client for 'CKAN' API (<https://ckan.org/>). Includes interface to 'CKAN' 'APIs' for search, list, show for packages, organizations, and resources. In addition, provides an interface to the 'datastore' API.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Imanuel Costigan [aut], Wush Wu [aut] (<https://orcid.org/0000-0001-5180-0567>), Florian Mayer [aut] (<https://orcid.org/0000-0003-4269-4242>), Sharla Gelfand [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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 187 files changed, 1684 insertions(+), 1022 deletions(-)

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