Thu, 07 Nov 2019

Package sp updated to version 1.3-2 with previous version 1.3-1 dated 2018-06-05

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Josh O'Brien [ctb], Joseph O'Rourke [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sp versions 1.3-1 dated 2018-06-05 and 1.3-2 dated 2019-11-07

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Package multistateutils updated to version 1.2.3 with previous version 1.2.2 dated 2019-02-04

Title: Utility Functions for Parametric Multi-State Models
Description: Provides functions for working with multi-state modelling, such as efficient simulation routines for estimating transition probabilities and length of stay. It is designed as an extension to multi-state modelling capabilities provided with the 'flexsurv' package (see Jackson (2016) <doi:10.18637/jss.v070.i08>).
Author: Stuart Lacy
Maintainer: Stuart Lacy <stuart.lacy@gmail.com>

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New package mpath with initial version 0.3-19
Package: mpath
Title: Regularized Linear Models
Version: 0.3-19
Date: 2019-11-07
Author: Zhu Wang, with contributions from Achim Zeileis, Simon Jackman, Brian Ripley, Trevor Hastie, Rob Tibshirani, Balasubramanian Narasimhan, Gil Chu and Patrick Breheny
Maintainer: Zhu Wang <wangz1@uthscsa.edu>
Description: Algorithms for fitting model-based penalized coefficient paths. Currently the models include penalized Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial regression models. The penalties include least absolute shrinkage and selection operator (LASSO), smoothly clipped absolute deviation (SCAD) and minimax concave penalty (MCP), and each possibly combining with L_2 penalty. See Wang et al. (2014) <doi:10.1002/sim.6314>, Wang et al. (2015) <doi:10.1002/bimj.201400143>, Wang et al. (2016) <doi:10.1177/0962280214530608>.
Imports: MASS,glmnet,pscl,numDeriv, foreach, doParallel, bst
Depends: methods
Suggests: zic, R.rsp, knitr, gdata
VignetteBuilder: R.rsp, knitr
License: GPL-2
Packaged: 2019-11-07 16:46:33 UTC; zhu
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2019-11-07 23:00:07 UTC

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Package ctsem updated to version 3.0.8 with previous version 3.0.4 dated 2019-09-12

Title: Continuous Time Structural Equation Modelling
Description: Hierarchical continuous time state space modelling, for linear and nonlinear systems measured by continuous variables, with limited support for binary data. The subject specific dynamic system is modelled as a stochastic differential equation (SDE), measurement models are typically multivariate normal factor models. Using the original ctsem formulation based on OpenMx, described in the JSS paper "Continuous Time Structural Equation Modeling with R Package ctsem", with updated version as CRAN vignette <https://cran.r-project.org/web/packages/ctsem/vignettes/ctsem.pdf> , linear mixed effects SDE's estimated via maximum likelihood and optimization are possible. Using the Stan based formulation, described in <https://github.com/cdriveraus/ctsem/raw/master/vignettes/hierarchicalmanual.pdf> , nonlinearity (state dependent parameters) and random effects on all parameters are possible, using either optimization (with optional importance sampling) or Stan's Hamiltonian Monte Carlo sampling. Priors may be used. For the conceptual overview of the hierarchical Bayesian linear SDE approach, see <https://www.researchgate.net/publication/324093594_Hierarchical_Bayesian_Continuous_Time_Dynamic_Modeling>. Exogenous inputs may also be included, for an overview of such possibilities see <https://www.researchgate.net/publication/328221807_Understanding_the_Time_Course_of_Interventions_with_Continuous_Time_Dynamic_Models> . Stan based functions are not available on 32 bit Windows systems at present.
Author: Charles Driver [aut, cre, cph], Manuel Voelkle [aut, cph], Han Oud [aut, cph], Trustees of Columbia University [cph]
Maintainer: Charles Driver <driver@mpib-berlin.mpg.de>

Diff between ctsem versions 3.0.4 dated 2019-09-12 and 3.0.8 dated 2019-11-07

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Package polspline updated to version 1.1.17 with previous version 1.1.16 dated 2019-10-04

Title: Polynomial Spline Routines
Description: Routines for the polynomial spline fitting routines hazard regression, hazard estimation with flexible tails, logspline, lspec, polyclass, and polymars, by C. Kooperberg and co-authors.
Author: Charles Kooperberg [aut, cre], Cleve Moler [ctb] (LINPACK routines in src), Jack Dongarra [ctb] (LINPACK routines in src)
Maintainer: Charles Kooperberg <clk@fredhutch.org>

Diff between polspline versions 1.1.16 dated 2019-10-04 and 1.1.17 dated 2019-11-07

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Package citecorp updated to version 0.2.0 with previous version 0.1.0 dated 2019-08-24

Title: Client for the Open Citations Corpus
Description: Client for the Open Citations Corpus (<http://opencitations.net/>). Includes a set of functions for getting one identifier type from another, as well as getting references and citations for a given identifier.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package solvebio updated to version 2.7.0 with previous version 2.6.1 dated 2018-10-25

Title: The Official SolveBio API Client
Description: R language bindings for SolveBio's API. SolveBio is a biomedical knowledge hub that enables life science organizations to collect and harmonize the complex, disparate "multi-omic" data essential for today's R&D and BI needs. For more information, visit <https://www.solvebio.com>.
Author: David Caplan
Maintainer: David Caplan <dcaplan@solvebio.com>

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Package Rsagacmd updated to version 0.0.2 with previous version 0.0.1 dated 2019-07-23

Title: Linking R with the Open-Source 'SAGA-GIS' Software
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 7.4.0 on Windows, Linux and macOS.
Author: Steven Pawley [aut, cre]
Maintainer: Steven Pawley <dr.stevenpawley@gmail.com>

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Package rnoaa updated to version 0.9.4 with previous version 0.9.2 dated 2019-10-23

Title: 'NOAA' Weather Data from R
Description: Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Author: Scott Chamberlain [aut, cre], Brooke Anderson [ctb], Maëlle Salmon [ctb], Adam Erickson [ctb], Nicholas Potter [ctb], Joseph Stachelek [ctb], Alex Simmons [ctb], Karthik Ram [ctb], Hart Edmund [ctb]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package GenEst updated to version 1.4.0 with previous version 1.3.2 dated 2019-09-14

Title: Generalized Mortality Estimator
Description: Command-line and 'shiny' GUI implementation of the GenEst models for estimating bird and bat mortality at wind and solar power facilities, following Dalthorp, et al. (2018) <doi:10.3133/tm7A2>.
Author: Daniel Dalthorp [aut, cre], Juniper Simonis [aut], Lisa Madsen [aut], Manuela Huso [aut], Paul Rabie [aut], Jeffrey Mintz [aut], Robert Wolpert [aut], Jared Studyvin [aut], Franzi Korner-Nievergelt [aut]
Maintainer: Daniel Dalthorp <ddalthorp@usgs.gov>

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Package Hmisc updated to version 4.3-0 with previous version 4.2-0 dated 2019-01-26

Title: Harrell Miscellaneous
Description: Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, and recoding variables.
Author: Frank E Harrell Jr <f.harrell@vanderbilt.edu>, with contributions from Charles Dupont and many others.
Maintainer: Frank E Harrell Jr <f.harrell@vanderbilt.edu>

Diff between Hmisc versions 4.2-0 dated 2019-01-26 and 4.3-0 dated 2019-11-07

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Package plotly updated to version 4.9.1 with previous version 4.9.0 dated 2019-04-10

Title: Create Interactive Web Graphics via 'plotly.js'
Description: Create interactive web graphics from 'ggplot2' graphs and/or a custom interface to the (MIT-licensed) JavaScript library 'plotly.js' inspired by the grammar of graphics.
Author: Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>), Chris Parmer [aut], Toby Hocking [aut], Scott Chamberlain [aut], Karthik Ram [aut], Marianne Corvellec [aut] (<https://orcid.org/0000-0002-1994-3581>), Pedro Despouy [aut], Plotly Technologies Inc. [cph]
Maintainer: Carson Sievert <cpsievert1@gmail.com>

Diff between plotly versions 4.9.0 dated 2019-04-10 and 4.9.1 dated 2019-11-07

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 NEWS.md                                                                   |   20 
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 R/helpers.R                                                               |    9 
 R/layers2traces.R                                                         |   14 
 R/partial_bundles.R                                                       |    2 
 R/plotly.R                                                                |    4 
 R/plotly_build.R                                                          |   12 
 R/plotly_data.R                                                           |    2 
 R/shiny.R                                                                 |   38 
 R/style.R                                                                 |    1 
 R/subplots.R                                                              |   23 
 R/sysdata.rda                                                             |binary
 R/utils.R                                                                 |    5 
 README.md                                                                 |    4 
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 inst/htmlwidgets/plotly.js                                                |   30 
 man/event_data.Rd                                                         |    4 
 man/highlight_key.Rd                                                      |    2 
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 man/plot_dendro.Rd                                                        |    2 
 man/raster2uri.Rd                                                         |   11 
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Package nlme updated to version 3.1-142 with previous version 3.1-141 dated 2019-08-01

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: José Pinheiro [aut] (S version), Douglas Bates [aut] (up to 2007), Saikat DebRoy [ctb] (up to 2002), Deepayan Sarkar [ctb] (up to 2005), EISPACK authors [ctb] (src/rs.f), Siem Heisterkamp [ctb] (Author fixed sigma), Bert Van Willigen [ctb] (Programmer fixed sigma), R-core [aut, cre]
Maintainer: R-core <R-core@R-project.org>

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New package soilDB with initial version 2.4.1
Package: soilDB
Type: Package
Title: Soil Database Interface
Version: 2.4.1
Date: 2019-11-06
Authors@R: c(person(given="Dylan", family="Beaudette", role = c("cre", "aut"), email = "dylan.beaudette@usda.gov"), person(given="Jay", family="Skovlin", role = c("aut")), person(given="Stephen", family="Roecker", role = c("aut")) )
Author: Dylan Beaudette [cre, aut], Jay Skovlin [aut], Stephen Roecker [aut]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>
Description: A collection of functions for reading data from USDA-NCSS soil databases.
License: GPL (>= 3)
LazyLoad: yes
Depends: R (>= 3.0.0)
Imports: aqp, grDevices, graphics, stats, utils, plyr, xml2, sp, reshape2, raster, curl, lattice
Suggests: dismo, rgdal, jsonlite, RODBC, httr, rgeos, rvest, testthat, stringr, latticeExtra, RCurl, XML, ggplot2, gridExtra, viridis
Repository: CRAN
URL: http://ncss-tech.github.io/AQP/
BugReports: https://github.com/ncss-tech/soilDB/issues
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-11-07 14:27:40 UTC; Dylan.Beaudette
Date/Publication: 2019-11-07 16:50:02 UTC

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Package personalized updated to version 0.2.5 with previous version 0.2.4 dated 2019-05-22

Title: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine
Description: Provides functions for fitting and validation of models for subgroup identification and personalized medicine / precision medicine under the general subgroup identification framework of Chen et al. (2017) <doi:10.1111/biom.12676>. This package is intended for use for both randomized controlled trials and observational studies.
Author: Jared Huling [aut, cre] (<https://orcid.org/0000-0003-0670-4845>), Aaron Potvien [ctb], Alexandros Karatzoglou [cph], Alex Smola [cph]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package EBPRS updated to version 1.2.2 with previous version 1.2.1 dated 2019-10-12

Title: Derive Polygenic Risk Score Based on Emprical Bayes Theory
Description: EB-PRS is a novel method that leverages information for effect sizes across all the markers to improve the prediction accuracy. No parameter tuning is needed in the method, and no external information is needed. This R-package provides the calculation of polygenic risk scores from the given training summary statistics and testing data. We can use EB-PRS to extract main information, estimate Empirical Bayes parameters, derive polygenic risk scores for each individual in testing data, and evaluate the PRS according to AUC and predictive r2.
Author: Shuang Song [aut, cre], Wei Jiang [aut], Lin Hou [aut] and Hongyu Zhao [aut]
Maintainer: Shuang Song <song-s19@mails.tsinghua.edu.cn>

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Package chorrrds updated to version 0.1.9.2 with previous version 0.1.9.1 dated 2019-05-19

Title: Music Chords Extraction
Description: Extracts music chords from the 'CifraClub' website <https://www.cifraclub.com.br/>. The package also has functions for cleaning the extracted data and feature extraction.
Author: Bruna Wundervald
Maintainer: Bruna Wundervald <brunadaviesw@gmail.com>

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Package whereami updated to version 0.1.9 with previous version 0.1.8.1 dated 2019-05-05

Title: Reliably Return the Source and Call Location of a Command
Description: Robust and reliable functions to return informative outputs to console with the run or source location of a command. This can be from the 'RScript'/R terminal commands or 'RStudio' console, source editor, 'Rmarkdown' document and a Shiny application.
Author: Jonathan Sidi [aut, cre] (<https://orcid.org/0000-0002-4222-1819>), Colin Fay [ctb] (<https://orcid.org/0000-0001-7343-1846>), Kirill Müller [aut] (<https://orcid.org/0000-0002-1416-3412>)
Maintainer: Jonathan Sidi <yonicd@gmail.com>

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Package details updated to version 0.1.2 with previous version 0.1.1 dated 2019-10-16

Title: Create Details HTML Tag for Markdown and Package Documentation
Description: Create a details HTML tag around R objects to place in a Markdown, 'Rmarkdown' and 'roxygen2' documentation.
Author: Jonathan Sidi [aut, cre]
Maintainer: Jonathan Sidi <yonicd@gmail.com>

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Package nhdplusTools updated to version 0.3.11 with previous version 0.3.10 dated 2019-10-17

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre], Mike Johnson [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package inctools updated to version 1.0.15 with previous version 1.0.14 dated 2018-09-21

Title: Incidence Estimation Tools
Description: Tools for estimating incidence from biomarker data in cross- sectional surveys, and for calibrating tests for recent infection. Implements and extends the method of Kassanjee et al. (2012) <doi:10.1097/EDE.0b013e3182576c07>.
Author: Eduard Grebe [cre, aut], Alex Welte [aut], Avery McIntosh [aut], Petra Bäumler [aut], Reshma Kassanjee [ctb], Hilmarie Brand [ctb], Cari Van Schalkwyk [ctb], Yuruo Li [ctb], Simon Daniel [ctb], Stefano Ongarello [aut], Yusuke Asai [ctb], Jeffrey Eaton [ctb]
Maintainer: Eduard Grebe <Eduard.Grebe@ucsf.edu>

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Permanent link

Package directPA updated to version 1.4 with previous version 1.3 dated 2016-03-23

Title: Direction Analysis for Pathways and Kinases
Description: Direction analysis is a set of tools designed to identify combinatorial effects of multiple treatments/conditions on pathways and kinases profiled by microarray, RNA-seq, proteomics, or phosphoproteomics data. See Yang P et al (2014) <doi:10.1093/bioinformatics/btt616>; and Yang P et al. (2016) <doi:10.1002/pmic.201600068>.
Author: Pengyi Yang & Ellis Patrick
Maintainer: Pengyi Yang <yangpy7@gmail.com>

Diff between directPA versions 1.3 dated 2016-03-23 and 1.4 dated 2019-11-07

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Package openxlsx updated to version 4.1.3 with previous version 4.1.2 dated 2019-10-29

Title: Read, Write and Edit xlsx Files
Description: Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, styling and editing worksheets. Through the use of 'Rcpp', read/write times are comparable to the 'xlsx' and 'XLConnect' packages with the added benefit of removing the dependency on Java.
Author: Philipp Schauberger [aut, cre], Alexander Walker [aut], Luca Braglia [ctb]
Maintainer: Philipp Schauberger <philipp@schauberger.co.at>

Diff between openxlsx versions 4.1.2 dated 2019-10-29 and 4.1.3 dated 2019-11-07

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New package MKdescr with initial version 0.4
Package: MKdescr
Version: 0.4
Date: 2019-11-06
Title: Descriptive Statistics
Authors@R: person("Matthias", "Kohl", role = c("aut", "cre"), email = "Matthias.Kohl@stamats.de", comment = c(ORCID = "0000-0001-9514-8910"))
Author: Matthias Kohl [aut, cre] (<https://orcid.org/0000-0001-9514-8910>)
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>
Depends: R(>= 3.5.0)
Imports: stats, graphics, ggplot2, scales
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Description: Contains several functions for descriptive statistics that are not available in standard R packages such as standardized IQR, Huber-type skipped mean, robust coefficient of variation (CV), robust signal to noise ratio (SNR), as well as functions that support graphical visualization such as boxplots based on quartiles (not hinges), negative logarithms and generalized logarithms for ggplots.
License: LGPL-3
URL: http://www.stamats.de/
NeedsCompilation: no
Packaged: 2019-11-06 19:43:29 UTC; kohlm
Repository: CRAN
Date/Publication: 2019-11-07 13:30:10 UTC

More information about MKdescr at CRAN
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New package LogicReg with initial version 1.6.1
Package: LogicReg
Version: 1.6.1
Date: 2019-11-05
Title: Logic Regression
Author: Charles Kooperberg <clk@fredhutch.org> and Ingo Ruczinski <ingo@jhu.edu>
Maintainer: Charles Kooperberg <clk@fredhutch.org>
License: GPL (>= 2)
Depends: R (>= 2.10), survival
Imports: stats, graphics, utils, grDevices
Description: Routines for fitting Logic Regression models. Logic Regression is described in Ruczinski, Kooperberg, and LeBlanc (2003) <DOI:10.1198/1061860032238>. Monte Carlo Logic Regression is described in and Kooperberg and Ruczinski (2005) <DOI:10.1002/gepi.20042>.
NeedsCompilation: yes
Packaged: 2019-11-05 23:52:45 UTC; clk
Repository: CRAN
Date/Publication: 2019-11-07 13:50:02 UTC

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Package landscapemetrics updated to version 1.3 with previous version 1.2.2 dated 2019-09-10

Title: Landscape Metrics for Categorical Map Patterns
Description: Calculates landscape metrics for categorical landscape patterns in a tidy workflow. 'landscapemetrics' reimplements the most common metrics from 'FRAGSTATS' (<https://www.umass.edu/landeco/research/fragstats/fragstats.html>) and new ones from the current literature on landscape metrics. This package supports 'raster' spatial objects and takes RasterLayer, RasterStacks, RasterBricks or lists of RasterLayer from the 'raster' package as input arguments. It further provides utility functions to visualize patches, select metrics and building blocks to develop new metrics.
Author: Maximillian H.K. Hesselbarth [aut, cre] (<https://orcid.org/0000-0003-1125-9918>), Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), Sebastian Hanss [aut] (<https://orcid.org/0000-0002-3990-4897>), Laura J. Graham [ctb] (Input on package structure), Jeffrey Hollister [ctb] (Input on package structure), Kimberly A. With [ctb] (Input on package structure), Florian Privé [ctb] (Original author of underlying C++ code for get_nearestneighbour() function), Jeremy VanDerWal [ctb] (Original author of underlying C code for get_patches() function), Matt Strimas-Mackey [ctb] (Bugfix in sample_metrics())
Maintainer: Maximillian H.K. Hesselbarth <maximilian.hesselbarth@uni-goettingen.de>

Diff between landscapemetrics versions 1.2.2 dated 2019-09-10 and 1.3 dated 2019-11-07

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Package kernelboot updated to version 0.1.6 with previous version 0.1.5 dated 2018-07-04

Title: Smoothed Bootstrap and Random Generation from Kernel Densities
Description: Smoothed bootstrap and functions for random generation from univariate and multivariate kernel densities. It does not estimate kernel densities.
Author: Tymoteusz Wolodzko
Maintainer: Tymoteusz Wolodzko <twolodzko+kernelboot@gmail.com>

Diff between kernelboot versions 0.1.5 dated 2018-07-04 and 0.1.6 dated 2019-11-07

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Package gee updated to version 4.13-20 with previous version 4.13-19 dated 2015-06-29

Title: Generalized Estimation Equation Solver
Description: Generalized Estimation Equation solver.
Author: Vincent J Carey. Ported to R by Thomas Lumley (versions 3.13 and 4.4) and Brian Ripley <ripley@stats.ox.ac.uk> (version 4.13). Files src/dgedi.f and src/dgefa.f are for LINPACK authored by Cleve Moler. Note that maintainers are not available to give advice on using a package they did not author.
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

Diff between gee versions 4.13-19 dated 2015-06-29 and 4.13-20 dated 2019-11-07

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Package brainGraph updated to version 2.7.3 with previous version 2.7.2 dated 2019-11-06

Title: Graph Theory Analysis of Brain MRI Data
Description: A set of tools for performing graph theory analysis of brain MRI data. It works with data from a Freesurfer analysis (cortical thickness, volumes, local gyrification index, surface area), diffusion tensor tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from DPABI). It contains a graphical user interface for graph visualization and data exploration, along with several functions for generating useful figures.
Author: Christopher G. Watson [aut, cre] (<https://orcid.org/0000-0002-7082-7631>)
Maintainer: Christopher G. Watson <cgwatson@bu.edu>

Diff between brainGraph versions 2.7.2 dated 2019-11-06 and 2.7.3 dated 2019-11-07

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Package UniprotR updated to version 1.1.1 with previous version 1.1.0 dated 2019-11-05

Title: Retrieving Information of Proteins from Uniprot
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.
Author: Mohamed Soudy [aut, cre], Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

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Package CVXR updated to version 0.99-7 with previous version 0.99-6 dated 2019-06-01

Title: Disciplined Convex Optimization
Description: An object-oriented modeling language for disciplined convex programming (DCP). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution.
Author: Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]
Maintainer: Anqi Fu <anqif@stanford.edu>

Diff between CVXR versions 0.99-6 dated 2019-06-01 and 0.99-7 dated 2019-11-07

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 README.md                                 |    6 ++--
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 tests/testthat/test-g01-non_optimal.R     |    3 +-
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Package CMapViz updated to version 0.1.0 with previous version 0.0.4 dated 2019-11-06

Title: Representation Tool For Output Of Connectivity Map (CMap) Analysis
Description: Automatically displays graphical visualization for exported data table (permutated results) from Connectivity Map (CMap) (2006) <doi:10.1126/science.1132939>. It allows the representation of the statistics (p-value and enrichment) according to each cell lines in the form of a bubble plot.
Author: Raphaël Bonnet [aut, cre], Jean-François Peyron[aut,ths]
Maintainer: Raphaël Bonnet <raphael.bonnet@univ-cotedazur.fr>

Diff between CMapViz versions 0.0.4 dated 2019-11-06 and 0.1.0 dated 2019-11-07

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Package UncDecomp updated to version 1.0.1 with previous version 1.0.0 dated 2019-10-31

Title: Uncertainty Decomposition
Description: If a procedure consists of several stages and there are several models that can be selected for each stage, uncertainty of the procedure can be decomposed by stages or models. This package includes the ANOVA-based method, the cumulative uncertainty-based method, and the balanced decomposition method. Yongdai Kim et al. (2019) <doi:10.1016/j.hydroa.2019.100024> is a related paper which is accessible via the URL below.
Author: Seonghyeon Kim [aut, cre], Yongdai Kim [aut], Ilsang Ohn [aut]
Maintainer: Seonghyeon Kim <shkim93@snu.ac.kr>

Diff between UncDecomp versions 1.0.0 dated 2019-10-31 and 1.0.1 dated 2019-11-07

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New package sur with initial version 1.0.0
Package: sur
Type: Package
Title: Companion to "Statistics Using R: An Integrative Approach"
Version: 1.0.0
Authors@R: c(person("Daphna","Harel",email = "daphna.harel@gmail.com",role=c("cre","aut")), person("Sharon","Weinberg",email = "sharon.weinberg@nyu.edu",role=c("ctb")), person("Sarah","Abramowitz",email = "sabramow@drew.edu",role=c("ctb")))
Depends: R (>= 3.5.0)
Description: Access to the datasets and many of the functions used in "Statistics Using R: An Integrative Approach". These datasets include a subset of the National Education Longitudinal Study, the Framingham Heart Study, as well as several simulated datasets used in the examples throughout the textbook. The functions included in the package reproduce some of the functionality of 'Stata' that is not directly available in 'R'. The package also contains a tutorial on basic data frame management, including how to handle missing data.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: learnr
NeedsCompilation: no
Packaged: 2019-11-06 21:14:43 UTC; daphnaharel
Author: Daphna Harel [cre, aut], Sharon Weinberg [ctb], Sarah Abramowitz [ctb]
Maintainer: Daphna Harel <daphna.harel@gmail.com>
Repository: CRAN
Date/Publication: 2019-11-07 10:10:02 UTC

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Package SQRL updated to version 0.7.0 with previous version 0.6.3 dated 2019-07-07

Title: Enhanced Database Interactivity
Description: Facilitates interaction with ODBC data sources, by hiding communications, and supporting parameterised multi-statement SQL with embedded R.
Author: Mike Lee
Maintainer: Mike Lee <random.deviate@gmail.com>

Diff between SQRL versions 0.6.3 dated 2019-07-07 and 0.7.0 dated 2019-11-07

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Package MortalityLaws updated to version 1.8.1 with previous version 1.8.0 dated 2019-06-18

Title: Parametric Mortality Models, Life Tables and HMD
Description: Fit the most popular human mortality 'laws', and construct full and abridge life tables given various input indices. A mortality law is a parametric function that describes the dying-out process of individuals in a population during a significant portion of their life spans. For a comprehensive review of the most important mortality laws see Tabeau (2001) <doi:10.1007/0-306-47562-6_1>. Practical functions for downloading data from various human mortality databases are provided as well.
Author: Marius D. Pascariu [aut, cre, cph] (<https://orcid.org/0000-0002-2568-6489>), Vladimir Canudas-Romo [ctb]
Maintainer: Marius D. Pascariu <mpascariu@outlook.com>

Diff between MortalityLaws versions 1.8.0 dated 2019-06-18 and 1.8.1 dated 2019-11-07

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New package fastlogranktest with initial version 0.1.0
Package: fastlogranktest
Type: Package
Title: A Fast Way to Calculate the p-Value of One or Multiple Log-Rank-Tests
Version: 0.1.0
Author: Andreas Stelzer
Maintainer: Andreas Stelzer <ga63nep@mytum.de>
Description: It is for all people who have to compute many Log-Rank-Tests and the 'survival' package is not fast enough for their purpose. Therefore this small package provides two functions, one for a single Log-Rank-Test and another which calculates many Log-Rank-Tests at a time using threading. Both runs very fast because it uses C++ code with 'Rcpp'.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
LinkingTo: Rcpp, BH
Imports: Rcpp
Suggests: testthat (>= 2.1.0)
NeedsCompilation: yes
Packaged: 2019-11-07 09:08:46 UTC; andre
Repository: CRAN
Date/Publication: 2019-11-07 10:10:05 UTC

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New package eudract with initial version 0.9.0
Package: eudract
Type: Package
Title: Creates Safety Results Summary in XML to Upload to EudraCT
Date: 2019-11-06
Version: 0.9.0
Authors@R: c( person("Simon", "Bond", email="simon.bond@addenbrookes.nhs.uk", role="cre"), person("Beatrice","Pantaleo", email="bp403@medschl.cam.ac.uk", role="aut"))
URL: https://eudract-tool.medschl.cam.ac.uk/
BugReports: https://github.com/shug0131/eudraCT/issues
Description: The remit of the European Clinical Trials Data Base (EudraCT <https://eudract.ema.europa.eu/> ) is to provide open access to summaries of all registered clinical trial results; thus aiming to prevent non-reporting of negative results and provide open-access to results to inform future research. The amount of information required and the format of the results, however, imposes a large extra workload at the end of studies on clinical trial units. In particular, the adverse-event-reporting component requires entering: each unique combination of treatment group and safety event; for every such event above, a further 4 pieces of information (body system, number of occurrences, number of subjects, number exposed) for non-serious events, plus an extra three pieces of data for serious adverse events (numbers of causally related events, deaths, causally related deaths). This package prepares the required statistics needed by EudraCT and formats them into the precise requirements to directly upload an XML file into the web portal, with no further data entry by hand.
License: GPL-2
Language: en-GB
Encoding: UTF-8
LazyData: true
Imports: tidyr, xslt, dplyr, xml2, utils, magrittr
Depends: R (>= 3.5.0)
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown, stringr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-11-06 15:43:05 UTC; sjb277
Author: Simon Bond [cre], Beatrice Pantaleo [aut]
Maintainer: Simon Bond <simon.bond@addenbrookes.nhs.uk>
Repository: CRAN
Date/Publication: 2019-11-07 10:10:08 UTC

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Package dynamac updated to version 0.1.10 with previous version 0.1.9 dated 2019-09-27

Title: Dynamic Simulation and Testing for Single-Equation ARDL Models
Description: While autoregressive distributed lag (ARDL) models allow for extremely flexible dynamics, interpreting substantive significance of complex lag structures remains difficult. This package is designed to assist users in dynamically simulating and plotting the results of various ARDL models. It also contains post-estimation diagnostics, including a test for cointegration when estimating the error-correction variant of the autoregressive distributed lag model (Pesaran, Shin, and Smith 2001 <doi:10.1002/jae.616>).
Author: Soren Jordan [aut, cre, cph], Andrew Q. Philips [aut]
Maintainer: Soren Jordan <sorenjordanpols@gmail.com>

Diff between dynamac versions 0.1.9 dated 2019-09-27 and 0.1.10 dated 2019-11-07

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Package waiter updated to version 0.0.6 with previous version 0.0.1 dated 2019-03-13

Title: Loading Screen for 'Shiny'
Description: Full screen splash loading screens for 'Shiny'.
Author: John Coene [aut, cre]
Maintainer: John Coene <jcoenep@gmail.com>

Diff between waiter versions 0.0.1 dated 2019-03-13 and 0.0.6 dated 2019-11-07

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New package calculus with initial version 0.1.0
Package: calculus
Type: Package
Title: High Dimensional Numerical and Symbolic Calculus
Version: 0.1.0
Authors@R: person(given = "Emanuele", family = "Guidotti", email = "emanuele.guidotti@hotmail.it", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8961-6623"))
Description: Efficient C++ optimized functions for numerical and symbolic calculus. It includes basic symbolic arithmetic, tensor calculus, Einstein summing convention, fast computation of the Levi-Civita symbol and generalized Kronecker delta, Taylor series expansion, multivariate Hermite polynomials, accurate high-order derivatives, differential operators (Gradient, Jacobian, Hessian, Divergence, Curl, Laplacian) and Monte Carlo integration in arbitrary orthogonal coordinate systems: cartesian, polar, spherical, cylindrical, parabolic or user defined by custom scale factors.
License: GPL-3
URL: https://emanueleguidotti.dev/calculus/
BugReports: https://github.com/emanuele-guidotti/calculus/issues/
Imports: Rcpp (>= 1.0.1)
LinkingTo: Rcpp
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-11-05 06:33:45 UTC; Emanuele
Author: Emanuele Guidotti [aut, cre] (<https://orcid.org/0000-0002-8961-6623>)
Maintainer: Emanuele Guidotti <emanuele.guidotti@hotmail.it>
Repository: CRAN
Date/Publication: 2019-11-07 10:00:02 UTC

More information about calculus at CRAN
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Package patternplot (with last version 0.3.0) was removed from CRAN

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

2019-10-31 0.3.0
2018-06-24 0.2.1
2017-11-03 0.2
2016-12-20 0.1

Permanent link
Package miniparquet (with last version 0.1.2) was removed from CRAN

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

2019-10-21 0.1.2
2019-10-16 0.1.1

Permanent link
Package tram updated to version 0.3-1 with previous version 0.3-0 dated 2019-10-22

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt'. Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Hothorn, 2019, <arxiv:1910.09219>).
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between tram versions 0.3-0 dated 2019-10-22 and 0.3-1 dated 2019-11-07

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Package sfheaders updated to version 0.0.2 with previous version 0.0.1 dated 2019-10-03

Title: Constructs Simple Feature Objects
Description: Converts R and 'Rcpp' objects to Simple Features 'sf', without depending on the Simple Feature library. Conversion functions are available at both the R level, and through 'Rcpp'.
Author: David Cooley [aut, cre]
Maintainer: David Cooley <david.cooley.au@gmail.com>

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Package palr updated to version 0.1.0 with previous version 0.0.6 dated 2016-07-26

Title: Colour Palettes for Data
Description: Colour palettes for data, based on some well known public data sets. Includes helper functions to map absolute values to known palettes, and capture the work of image colour mapping as raster data sets.
Author: Michael D. Sumner [aut, cre], Abigael Proctor [ctb] (Named the package), Tomas Remenyi [ctb] (Provided colours for element_pal), R Core Team and contributors worldwide [ctb] (source code of image.default)
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package dae updated to version 3.1-16 with previous version 3.0-32 dated 2019-05-15

Title: Functions Useful in the Design and ANOVA of Experiments
Description: The content falls into the following groupings: (i) Data, (ii) Factor manipulation functions, (iii) Design functions, (iv) ANOVA functions, (v) Matrix functions, (vi) Projector and canonical efficiency functions, and (vii) Miscellaneous functions. There is a vignette describing how to use the design functions for randomizing and assessing designs available as a vignette called 'DesignNotes'. The ANOVA functions facilitate the extraction of information when the 'Error' function has been used in the call to 'aov'. The package 'dae' can also be installed from <http://chris.brien.name/rpackages/>.
Author: Chris Brien [aut, cre] (<https://orcid.org/0000-0003-0581-1817>)
Maintainer: Chris Brien <chris.brien@unisa.edu.au>

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More information about dae at CRAN
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Package Eagle updated to version 2.0.0 with previous version 1.5.2 dated 2019-08-22

Title: Multiple Locus Association Mapping on a Genome-Wide Scale
Description: An implementation of multiple-locus association mapping on a genome-wide scale. 'Eagle' can handle inbred and outbred study populations, populations of arbitrary unknown complexity, and data larger than the memory capacity of the computer. Since 'Eagle' is based on linear mixed models, it is best suited to the analysis of data on continuous traits. However, it can tolerate non-normal data. 'Eagle' reports, as its findings, the best set of snp in strongest association with a trait. For users unfamiliar with R, to perform an analysis, run 'OpenGUI()'. This opens a web browser to the menu-driven user interface for the input of data, and for performing genome-wide analysis.
Author: Andrew George [aut, cre], Joshua Bowden [ctb], Ryan Stephenson [ctb], Hyun Kang [ctb], Noah Zaitlen [ctb], Claire Wade [ctb], Andrew Kirby [ctb], David Heckerman [ctb], Mark Daly [ctb], Eleazar Eskin [ctb]
Maintainer: Andrew George <andrew.george@csiro.au>

Diff between Eagle versions 1.5.2 dated 2019-08-22 and 2.0.0 dated 2019-11-07

 Eagle-1.5.2/Eagle/R/ReadMarker.R                          |only
 Eagle-2.0.0/Eagle/DESCRIPTION                             |   12 
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 Eagle-2.0.0/Eagle/NAMESPACE                               |    2 
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 Eagle-2.0.0/Eagle/R/AM.R                                  |  291 ++++++++----
 Eagle-2.0.0/Eagle/R/FPR4AM.R                              |  318 +++++++++-----
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 Eagle-2.0.0/Eagle/R/calcVC.R                              |   10 
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 Eagle-2.0.0/Eagle/src/calculate_a_and_vara_rcpp.cpp       |   63 ++
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 Eagle-2.0.0/Eagle/src/readblock.h                         |    5 
 52 files changed, 910 insertions(+), 548 deletions(-)

More information about Eagle at CRAN
Permanent link


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