Fri, 01 Feb 2019

Package rerddap updated to version 0.5.0 with previous version 0.4.2 dated 2017-05-12

Title: General Purpose Client for 'ERDDAP' Servers
Description: General purpose R client for 'ERDDAP' servers. Includes functions to search for 'datasets', get summary information on 'datasets', and fetch 'datasets', in either 'csv' or 'netCDF' format. 'ERDDAP' information: <https://upwell.pfeg.noaa.gov/erddap/information.html>.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Ben Tupper [ctb], Roy Mendelssohn [ctb]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package mlogit updated to version 0.4-1 with previous version 0.4-0 dated 2019-01-31

Title: Multinomial Logit Models
Description: Maximum Likelihood estimation of random utility discrete choice models (logit and probit).
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>

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Package readabs updated to version 0.3.0 with previous version 0.2.9 dated 2019-01-14

Title: Download and Tidy Time Series Data from the Australian Bureau of Statistics
Description: Downloads, imports, and tidies time series data from the Australian Bureau of Statistics <https://www.abs.gov.au/>.
Author: Matt Cowgill [aut, cre], Zoe Meers [aut], Jaron Lee [aut]
Maintainer: Matt Cowgill <mattcowgill@gmail.com>

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Package QuantNorm updated to version 1.0.5 with previous version 1.0.3 dated 2018-03-06

Title: Mitigating the Adverse Impact of Batch Effects in Sample Pattern Detection
Description: Modifies the distance matrix obtained from data with batch effects, so as to improve the performance of sample pattern detection, such as clustering, dimension reduction, and construction of networks between subjects. The method has been published in Bioinformatics (Fei et al, 2018, <doi:10.1093/bioinformatics/bty117>). Also available on 'GitHub' <https://github.com/tengfei-emory/QuantNorm>.
Author: Teng Fei, Tianwei Yu
Maintainer: Teng Fei <tfei@emory.edu>

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Package DPWeibull updated to version 1.3 with previous version 1.2 dated 2018-03-22

Title: Dirichlet Process Weibull Mixture Model for Survival Data
Description: Use Dirichlet process Weibull mixture model and dependent Dirichlet process Weibull mixture model for survival data with and without competing risks. Dirichlet process Weibull mixture model is used for data without covariates and dependent Dirichlet process model is used for regression data. The package is designed to handle exact/right-censored/ interval-censored observations without competing risks and exact/right-censored observations for data with competing risks. Inside each cluster of Dirichlet process, we assume a multiplicative effect of covariates as in Cox model and Fine and Gray model. In addition, we provide a wrapper for DPdensity() function from the R package 'DPpackage'. This wrapper automatically uses Low Information Omnibus prior and can model one and two dimensional data with Dirichlet mixture of Gaussian distributions.
Author: Yushu Shi, Michael Martens
Maintainer: Yushu Shi <shiyushu2006@gmail.com>

Diff between DPWeibull versions 1.2 dated 2018-03-22 and 1.3 dated 2019-02-01

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Package colorfindr updated to version 0.1.4 with previous version 0.1.3 dated 2018-10-07

Title: Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG Format Images
Description: Extracts colors from various image types, returns customized reports and plots treemaps and 3D scatterplots of image compositions. Color palettes can also be created.
Author: David Zumbach [aut, cre]
Maintainer: David Zumbach <david.zumbach@gfzb.ch>

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Package SpaDES.tools updated to version 0.3.1 with previous version 0.3.0 dated 2018-07-14

Title: Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models
Description: Provides GIS and map utilities, plus additional modeling tools for developing cellular automata, dynamic raster models, and agent based models in 'SpaDES'. Included are various methods for spatial spreading, spatial agents, GIS operations, random map generation, and others. See '?SpaDES.tools' for an categorized overview of these additional tools.
Author: Alex M Chubaty [aut, cre] (<https://orcid.org/0000-0001-7146-8135>), Eliot J B McIntire [aut] (<https://orcid.org/0000-0002-6914-8316>), Yong Luo [ctb], Steve Cumming [ctb], Jean Marchal [ctb], Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <alex.chubaty@gmail.com>

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Package SensusR updated to version 2.3.1 with previous version 2.3.0 dated 2018-10-02

Title: Sensus Analytics
Description: Provides access and analytic functions for Sensus data.
Author: Matthew S. Gerber
Maintainer: Matthew S. Gerber <gerber.matthew@gmail.com>

Diff between SensusR versions 2.3.0 dated 2018-10-02 and 2.3.1 dated 2019-02-01

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New package SAR with initial version 1.0.0
Package: SAR
Title: Smart Adaptive Recommendations
Version: 1.0.0
Authors@R: c( person("Hong", "Ooi", , "hongooi@microsoft.com", role = c("aut", "cre")), person("Microsoft Product Recommendations team", role = "ctb", comment="source for MS sample datasets"), person("Microsoft", role="cph") )
Description: 'Smart Adaptive Recommendations' (SAR) is the name of a fast, scalable, adaptive algorithm for personalized recommendations based on user transactions and item descriptions. It produces easily explainable/interpretable recommendations and handles "cold item" and "semi-cold user" scenarios. This package provides two implementations of 'SAR': a standalone implementation, and an interface to a web service in Microsoft's 'Azure' cloud: <https://github.com/Microsoft/Product-Recommendations/blob/master/doc/sar.md>. The former allows fast and easy experimentation, and the latter provides robust scalability and extra features for production use.
URL: https://github.com/Hong-Revo/SAR
BugReports: https://github.com/Hong-Revo/SAR/issues
License: MIT + file LICENSE
Depends: R (>= 3.3)
Imports: AzureRMR, AzureStor, dplyr (>= 0.7), httr, jsonlite, Matrix, R6, parallel, Rcpp (>= 0.12), RcppParallel
Suggests: testthat
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
SystemRequirements: GNU make
RoxygenNote: 6.1.0.9000
NeedsCompilation: yes
Packaged: 2019-01-25 19:30:05 UTC; hongooi
Author: Hong Ooi [aut, cre], Microsoft Product Recommendations team [ctb] (source for MS sample datasets), Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>
Repository: CRAN
Date/Publication: 2019-02-01 18:23:18 UTC

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Package rmutil updated to version 1.1.2 with previous version 1.1.1 dated 2018-05-27

Title: Utilities for Nonlinear Regression and Repeated Measurements Models
Description: A toolkit of functions for nonlinear regression and repeated measurements not to be used by itself but called by other Lindsey packages such as 'gnlm', 'stable', 'growth', 'repeated', and 'event' (available at <http://www.commanster.eu/rcode.html>).
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut] (Jim created this package, Bruce is maintaining the CRAN version)
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

Diff between rmutil versions 1.1.1 dated 2018-05-27 and 1.1.2 dated 2019-02-01

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Package rmd updated to version 0.1.4 with previous version 0.1.3 dated 2019-01-09

Title: Easily Install and Load the R Markdown Family
Description: The 'rmd' package manages multiple R markdown packages. These R markdown packages include currently 'rmarkdown', 'knitr', 'bookdown', 'bookdownplus', 'blogdown', 'rticles', 'tinytex', 'xaringan', 'citr', and 'mindr'. They can be installed and loaded in a single step with the 'rmd' package. The conflicts between these packages are evaluated as well.
Author: Peng Zhao [aut, cre]
Maintainer: Peng Zhao <pzhao@pzhao.net>

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New package gratia with initial version 0.2-1
Package: gratia
Version: 0.2-1
Date: 2019-01-25
Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Authors@R: c(person(given = "Gavin L.", family = "Simpson", email = "ucfagls@gmail.com", role = c("aut","cre"), comment = c(ORCID = "0000-0002-9084-8413")))
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>
Depends: R (>= 3.5.0)
Imports: mgcv, ggplot2, tibble, dplyr, tidyr, cowplot, grid, mvtnorm, stats, tools, grDevices
Suggests: testthat, vdiffr, MASS, scam, datasets
Description: Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
License: MIT + file LICENSE
LazyData: true
URL: https://gavinsimpson.github.io/gratia
BugReports: https://github.com/gavinsimpson/gratia/issues
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-01-25 17:18:41.050 UTC; gavin
Author: Gavin L. Simpson [aut, cre] (<https://orcid.org/0000-0002-9084-8413>)
Repository: CRAN
Date/Publication: 2019-02-01 18:33:19 UTC

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Package UPMASK updated to version 1.2 with previous version 1.1 dated 2017-04-03

Title: Unsupervised Photometric Membership Assignment in Stellar Clusters
Description: An implementation of the UPMASK method for performing membership assignment in stellar clusters in R. It is prepared to use photometry and spatial positions, but it can take into account other types of data. The method is able to take into account arbitrary error models, and it is unsupervised, data-driven, physical-model-free and relies on as few assumptions as possible. The approach followed for membership assessment is based on an iterative process, dimensionality reduction, a clustering algorithm and a kernel density estimation.
Author: Alberto Krone-Martins [aut, cre], Andre Moitinho [aut], Eduardo Bezerra [ctb], Leonardo Lima [ctb], Tristan Cantat-Gaudin [ctb]
Maintainer: Alberto Krone-Martins <algol@sim.ul.pt>

Diff between UPMASK versions 1.1 dated 2017-04-03 and 1.2 dated 2019-02-01

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New package SMITIDstruct with initial version 0.0.3
Package: SMITIDstruct
Type: Package
Encoding: UTF-8
Title: Data Structure and Manipulations Tool for Host and Viral Population
Version: 0.0.3
Date: 2019-01-14
Authors@R: c(person("Jean-Francois", "Rey", role = c("aut", "cre"), email = "jean-francois.rey@inra.fr"))
Author: Jean-Francois Rey [aut, cre]
Maintainer: Jean-Francois Rey <jean-francois.rey@inra.fr>
Description: Statistical Methods for Inferring Transmissions of Infectious Diseases from deep sequencing data (SMITID). It allow sequence-space-time host and viral population data storage, indexation and querying.
License: GPL (>= 2) | file LICENSE
LazyData: true
BuildVignettes: true
NeedsCompilation: no
Biarch: true
URL: https://informatique-mia.inra.fr/biosp/anr-smitid-project, https://gitlab.paca.inra.fr/SMITID/structR
BugReports: https://gitlab.paca.inra.fr/SMITID/structR/issues
Depends: methods, utils, grDevices (>= 3.0.0), graphics (>= 3.0.0), R (>= 3.3.0)
DependsNote: BioC (>= 3.0)
Imports: ggplot2, sf (>= 0.6.3), stats (>= 3.0.2), Biostrings (>= 2.0.0)
ImportsNote: BioC (>= 3.0), Recommended: Biostrings
Collate: 'Class-Host.R' 'Class-ViralPop.R' 'Methods-Host.R' 'Methods-ViralPop.R' 'demo.R' 'diversity.R' 'index.R' 'SMITIDstruct.R'
RoxygenNote: 6.1.0
Packaged: 2019-01-25 13:24:33 UTC; jfrey
Repository: CRAN
Date/Publication: 2019-02-01 17:33:23 UTC

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Package Nonpareil updated to version 3.3.4 with previous version 3.3.3 dated 2018-10-22

Title: Metagenome Coverage Estimation and Projections for 'Nonpareil'
Description: Plot, process, and analyze NPO files produced by 'Nonpareil' <http://enve-omics.ce.gatech.edu/nonpareil>.
Author: Luis M. Rodriguez-R [aut, cre]
Maintainer: Luis M. Rodriguez-R <lmrodriguezr@gmail.com>

Diff between Nonpareil versions 3.3.3 dated 2018-10-22 and 3.3.4 dated 2019-02-01

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New package NMAoutlier with initial version 0.1.13
Package: NMAoutlier
Title: Detecting Outliers in Network Meta-Analysis
Version: 0.1.13
Date: 2019-01-09
Depends: R (>= 3.0.0)
Imports: netmeta (>= 0.9-7), stats (>= 3.4.3), parallel (>= 3.4.1), MASS (>= 7.3-47), reshape2 (>= 1.4.3), ggplot2 (>= 3.0.0), gridExtra (>= 2.3)
Authors@R: c(person("Maria", "Petropoulou", role = c("aut", "cre"), email = "mpetrop@cc.uoi.gr", comment = c(ORCID = "0000-0002-7147-3644")), person("Guido", "Schwarzer", role = "aut", comment = c(ORCID = "0000-0001-6214-9087")), person("Agapios", "Panos", role = "aut"), person("Dimitris", "Mavridis", role = "aut", comment = c(ORCID = "0000-0003-1041-4592")))
Maintainer: Maria Petropoulou <mpetrop@cc.uoi.gr>
URL: https://github.com/petropouloumaria/NMAoutlier
Description: A set of functions providing the forward search algorithm for detecting outlying studies (i.e., studies with extreme findings) in network meta-analysis: - provides the length of the initial subset for forward search algorithm; - iterations of forward search algorithm; - basic set of studies in each step of forward search algorithm; - summary estimates and their confidence intervals in each step of forward search algorithm; - outlying case diagnostics measures; - ranking measures; - heterogeneity and inconsistency measures; - forward plot for summary estimates and their confidence intervals; - forward plots for monitored measures: outlying case diagnostics measures, ranking measures, heterogeneity, and inconsistency measures.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-24 19:46:33 UTC; marak
Author: Maria Petropoulou [aut, cre] (<https://orcid.org/0000-0002-7147-3644>), Guido Schwarzer [aut] (<https://orcid.org/0000-0001-6214-9087>), Agapios Panos [aut], Dimitris Mavridis [aut] (<https://orcid.org/0000-0003-1041-4592>)
Repository: CRAN
Date/Publication: 2019-02-01 17:33:27 UTC

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New package mephas with initial version 0.1.0
Package: mephas
Type: Package
Title: Medical and Pharmaceutical Statistics Shiny Application
Version: 0.1.0
Date: 2019-01-23
Authors@R: person("Yi", "Zhou", email = "zhou-y@phs.osaka-u.ac.jp", role = c("aut", "cre"))
Description: This is a shiny application which facilitates researchers to analyze medical and pharmaceutical and related data.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/mephas/mephas_pkg
Depends: R (>= 3.1.0),
Imports: shiny, ggplot2, survival, survminer, ggfortify, DescTools, gridExtra, reshape, pastecs, RVAideMemoire, xtable, ROCR, plotROC, psych, stargazer, Rmisc, mixOmics
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-01-23 11:50:21 UTC; yi
Author: Yi Zhou [aut, cre]
Maintainer: Yi Zhou <zhou-y@phs.osaka-u.ac.jp>
Repository: CRAN
Date/Publication: 2019-02-01 17:30:02 UTC

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New package localICE with initial version 0.1.0
Package: localICE
Type: Package
Title: Local Individual Conditional Expectation
Version: 0.1.0
Authors@R: c(person(given = "Martin", family = "Walter", role = c("aut", "cre"), email = "mf-walter@web.de"))
Maintainer: Martin Walter <mf-walter@web.de>
Description: Local Individual Conditional Expectation is as an extension to Individual Conditional Expectation (ICE) and provides three-dimensional local explanations for particular data instances. The three dimension are two features at the horizontal and vertical axes as well as the target that is represented by different colors. The approach is applicable for classification and regression problems to explain interactions of two features towards the target. The plot for discrete targets looks similar to plots of cluster algorithms like k-means, where different clusters represent different predictions. Reference to the ICE approach: Alex Goldstein, Adam Kapelner, Justin Bleich, Emil Pitkin (2013) <arXiv:1309.6392>.
URL: https://github.com/viadee/localICE
BugReports: https://github.com/viadee/localICE/issues
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2, checkmate
Suggests: covr, h2o, mlbench, randomForest, stats, testthat, utils
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-25 18:18:31 UTC; Martin
Author: Martin Walter [aut, cre]
Repository: CRAN
Date/Publication: 2019-02-01 17:40:03 UTC

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Package KSPM updated to version 0.1.1 with previous version 0.1.0 dated 2019-01-09

Title: Kernel Semi-Parametric Models
Description: To fit the kernel semi-parametric model and its extensions. It allows multiple kernels and unlimited interactions in the same model. Coefficients are estimated by maximizing a penalized log-likelihood; penalization terms and hyperparameters are estimated by minimizing leave-one-out error. It includes predictions with confidence/prediction intervals, statistical tests for the significance of each kernel, a procedure for variable selection and graphical tools for diagnostics and interpretation of covariate effects. Currently it is implemented for continuous dependent variables.
Author: Catherine Schramm [aut, cre], Aurelie Labbe [ctb], Celia M. T. Greenwood [ctb]
Maintainer: Catherine Schramm <cath.schramm@gmail.com>

Diff between KSPM versions 0.1.0 dated 2019-01-09 and 0.1.1 dated 2019-02-01

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New package jstable with initial version 0.7.6
Package: jstable
Title: Create Tables from Different Types of Regression
Version: 0.7.6
Date: 2019-01-26
Authors@R: c(person("Jinseob", "Kim", email = "jinseob2kim@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9403-605X")), person("Anpanman", role = c("cph", "fnd")) )
Description: Create regression tables from generalized linear model(GLM), Generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Depends: R (>= 3.4.0)
License: Apache License 2.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: geepack, lme4, stats, data.table, labelled, tableone, coxme, epiDisplay, survival, DT, survey, methods
URL: https://github.com/jinseob2kim/jstable
BugReports: https://github.com/jinseob2kim/jstable/issues
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-26 02:54:15 UTC; js
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Anpanman [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>
Repository: CRAN
Date/Publication: 2019-02-01 17:43:25 UTC

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New package jskm with initial version 0.2.7
Package: jskm
Title: Kaplan-Meier Plot with 'ggplot2'
Version: 0.2.7
Date: 2019-01-17
Authors@R: c(person("Jinseob", "Kim", email = "jinseob2kim@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9403-605X")), person("Anpanman", role = c("cph", "fnd")) )
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Depends: R (>= 3.4.0)
License: Apache License 2.0
Encoding: UTF-8
LazyData: true
Imports: ggplot2, gridExtra, plyr, survival, survey, scales
RoxygenNote: 6.1.1
URL: https://github.com/jinseob2kim/jskm
BugReports: https://github.com/jinseob2kim/jstable/issues
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-26 00:59:32 UTC; js
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Anpanman [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>
Repository: CRAN
Date/Publication: 2019-02-01 17:43:29 UTC

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New package CalSim with initial version 0.2.2
Package: CalSim
Type: Package
Title: The Calibration Simplex
Version: 0.2.2
Author: Johannes Resin
Maintainer: Johannes Resin <johannes.resin@h-its.org>
Depends: R (>= 3.3), spatstat
Suggests: scoring
Description: Generates the calibration simplex (a generalization of the reliability diagram) for three-category probability forecasts, as proposed by Wilks (2013) <doi:10.1175/WAF-D-13-00027.1>.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2019-01-24 16:39:44 UTC; resinjs
Repository: CRAN
Date/Publication: 2019-02-01 17:33:35 UTC

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New package bigMap with initial version 2.0.0
Package: bigMap
Type: Package
Title: Big Data Mapping
Version: 2.0.0
Date: 2019-01-04
Authors@R: c( person(given="Joan", family="Garriga", email="jgarriga@ceab.csic.es", role=c("aut", "cre")), person(given="Frederic", family="Bartumeus", email="fbartu@ceab.csic.es", role=c("aut")) )
Description: Unsupervised clustering protocol for large scale structured data, based on a low dimensional representation of the data. Dimensionality reduction is performed using a parallelized implementation of the t-Stochastic Neighboring Embedding algorithm (Garriga J. and Bartumeus F. (2018), <arXiv:1812.09869>).
License: GPL-3
Depends: R (>= 3.4.0)
Imports: Rcpp (>= 0.12.0), bigmemory (>= 4.5.0), parallel (>= 3.5.0), RColorBrewer, colorspace,
Suggests: snow (>= 0.4-2), Rmpi (>= 0.6-7), knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, BH, bigmemory
LazyData: FALSE
VignetteBuilder: knitr
RoxygenNote: 6.1.1
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2019-01-23 16:57:27 UTC; jgarriga
Author: Joan Garriga [aut, cre], Frederic Bartumeus [aut]
Maintainer: Joan Garriga <jgarriga@ceab.csic.es>
Repository: CRAN
Date/Publication: 2019-02-01 17:05:25 UTC

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

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

2016-01-11 1.0

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New package SCAT with initial version 0.5.0
Package: SCAT
Type: Package
Title: Summary Based Conditional Association Test
Version: 0.5.0
Date: 2019-02-01
Author: Han Zhang, Kai Yu
Maintainer: Han Zhang <han.zhang2@nih.gov>
Depends: stats, utils
Description: Conditional association test based on summary data from genome-wide association study (GWAS). SCAT adjusts for heterogeneity in SNP coverage that exists in summary data if SNPs are not present in all of the participating studies of a GWAS meta-analysis. This commonly happens when different reference panels are used in participating studies for genotype imputation. This could happen when ones simply do not have data for some SNPs (e.g. different array, or imputated data is not available). Without properly adjusting for this kind of heterogeneity leads to inflated false positive rate. SCAT can also be used to conduct conventional conditional analysis when coverage heterogeneity is absent. For more details, refer to Zhang et al. (2018) Brief Bioinform. 19(6):1337-1343. <doi: 10.1093/bib/bbx072>.
License: GPL-2 | GPL-3
LazyData: TRUE
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2019-02-01 15:47:57 UTC; zhangh12
Repository: CRAN
Date/Publication: 2019-02-01 16:43:27 UTC

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New package RiverLoad with initial version 1.0
Package: RiverLoad
Type: Package
Title: Load Estimation of River Compounds with Different Methods
Version: 1.0
Date: 2019-01-23
Author: Veronica Nava [aut, cre], Martina Patelli [ctb], Marco Rotiroti [ctb], Barbara Leoni [ctb]
Maintainer: Veronica Nava <veronicanava245@gmail.com>
Description: Implements several of the most popular load estimation procedures, including averaging methods, ratio estimators and regression methods. The package provides an easy-to-use tool to rapidly calculate the load for various compounds and to compare different methods. The package also supplies additional functions to easily organize and analyze the data.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: graphics, grDevices, stats
NeedsCompilation: no
Packaged: 2019-01-23 11:49:57 UTC; Veronica
Repository: CRAN
Date/Publication: 2019-02-01 16:53:22 UTC

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Package MCMCglmm updated to version 2.27 with previous version 2.26 dated 2018-07-03

Title: MCMC Generalised Linear Mixed Models
Description: MCMC Generalised Linear Mixed Models.
Author: Jarrod Hadfield
Maintainer: Jarrod Hadfield <j.hadfield@ed.ac.uk>

Diff between MCMCglmm versions 2.26 dated 2018-07-03 and 2.27 dated 2019-02-01

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New package ltsk with initial version 1.0.7
Package: ltsk
Type: Package
Title: Local Time Space Kriging
Version: 1.0.7
Date: 2019-01-01
Author: Naresh Kumar, Dong Liang, Jin Chen, Jun Chen
Maintainer: Dong Liang <dliang@umces.edu>
Description: Implements local spatial and local spatiotemporal Kriging based on local spatial and local spatiotemporal variograms, respectively. The method is documented in Kumar et al (2013) <https://www.nature.com/articles/jes201352)>.
License: GPL-2
Depends: parallel,R (>= 2.10)
Imports: fields,gstat,sp
Packaged: 2019-02-01 15:41:13 UTC; dliang
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2019-02-01 16:30:03 UTC

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Package egor updated to version 0.19.1 with previous version 0.18.08-02 dated 2018-08-20

Title: Import and Analyse Ego-Centered Network Data
Description: Tools for importing, analyzing and visualizing ego-centered network data. Supports several data formats, including the export formats of 'EgoNet', 'EgoWeb 2.0' and 'openeddi'. An interactive (shiny) app for the intuitive visualization of ego-centered networks is provided. Also included are procedures for creating and visualizing Clustered Graphs (Lerner 2008 <DOI:10.1109/PACIFICVIS.2008.4475458>).
Author: Till Krenz [aut, cre], Pavel N. Krivitsky [aut], Raffaele Vacca [aut], Michal Bojanowski [aut], Markus Gamper [ctb], Andreas Herz [aut], Christopher McCarty [ctb]
Maintainer: Till Krenz <egor@tillt.net>

Diff between egor versions 0.18.08-02 dated 2018-08-20 and 0.19.1 dated 2019-02-01

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New package dosearch with initial version 1.0
Package: dosearch
Type: Package
Title: Causal Effect Identification from Multiple Incomplete Data Sources
Version: 1.0
Date: 2019-01-23
Author: Santtu Tikka, Antti Hyttinen, Juha Karvanen
Maintainer: Santtu Tikka <santtuth@gmail.com>
Description: Identification of causal effects from arbitrary observational and experimental probability distributions via do-calculus and standard probability manipulations using a search-based algorithm. Allows for the presence of mechanisms related to selection bias (Bareinboim, E. and Tian, J. (2015) <http://ftp.cs.ucla.edu/pub/stat_ser/r445.pdf>), transportability (Bareinboim, E. and Pearl, J. (2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>) and missing data (Mohan, K. and Pearl, J. and Tian., J. (2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>).
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.19)
LinkingTo: Rcpp
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2019-01-23 16:27:27 UTC; Santtu
Repository: CRAN
Date/Publication: 2019-02-01 16:53:19 UTC

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Package dina updated to version 2.0.0 with previous version 1.0.2 dated 2017-04-26

Title: Bayesian Estimation of DINA Model
Description: Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.
Author: Steven Andrew Culpepper [aut, cph] (<https://orcid.org/0000-0003-4226-6176>), James Joseph Balamuta [aut, cre] (<https://orcid.org/0000-0003-2826-8458>)
Maintainer: James Joseph Balamuta <balamut2@illinois.edu>

Diff between dina versions 1.0.2 dated 2017-04-26 and 2.0.0 dated 2019-02-01

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 dina-2.0.0/dina/NEWS.md                         |   38 ++
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More information about dina at CRAN
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Package swephR updated to version 0.1.4 with previous version 0.1.3 dated 2019-01-30

Title: High Precision Swiss Ephemeris
Description: The Swiss Ephemeris is a high precision ephemeris based upon the DE431 ephemerides from NASA's JPL. It covers the time range 13201 BC to AD 17191. This package uses the semi-analytic theory by Steve Moshier. For faster and more accurate calculations, the compressed Swiss Ephemeris data is available in the 'swephRdata' package. To access this data package, run 'install.packages("swephRdata", repos = "https://rstub.github.io/drat/", type = "source")'. The size of the 'swephRdata' package is approximately 115 MB. The user can also use the original JPL DE431 data.
Author: Ralf Stubner [aut, cre], Victor Reijs [aut], Authors and copyright holder of the Swiss Ephemeris [aut, cph] (see LICENSE for details)
Maintainer: Ralf Stubner <ralf.stubner@gmail.com>

Diff between swephR versions 0.1.3 dated 2019-01-30 and 0.1.4 dated 2019-02-01

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Package SQRL updated to version 0.6.1 with previous version 0.6.0 dated 2019-01-31

Title: Database Query Interfaces
Description: Facilitates interaction with 'ODBC' data sources.
Author: Mike Lee
Maintainer: Mike Lee <random.deviate@gmail.com>

Diff between SQRL versions 0.6.0 dated 2019-01-31 and 0.6.1 dated 2019-02-01

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New package readsdmx with initial version 0.2.2
Package: readsdmx
Type: Package
Title: Read SDMX-XML Data
Version: 0.2.2
Authors@R: c(person("Matthew", "de Queljoe", email = "matthew.dequeljoe@gmail.com", role = c("aut", "cre")), person("Marcin", "Kalicinski", role = c("ctb", "cph"), comment = "Author of RapidXML library"), person("Emmanuel", "Blondel", role = c("ctb", "cph"), comment = c(ORCID = "0000-0002-5870-5762", "SDMX-ML test files")))
Maintainer: Matthew de Queljoe <matthew.dequeljoe@gmail.com>
Description: Read Statistical Data and Metadata Exchange (SDMX) XML data. This the main transmission format used in official statistics. Data can be imported from local SDMX-ML files or a SDMX web-service and will be read in 'as is' into a dataframe object. The 'RapidXML' C++ library <http://rapidxml.sourceforge.net> is used to parse the XML data.
URL: https://github.com/mdequeljoe/readsdmx
BugReports: https://github.com/mdequeljoe/readsdmx/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.18), utils
LinkingTo: Rcpp
RoxygenNote: 6.1.1
Suggests: testthat
NeedsCompilation: yes
Packaged: 2019-01-21 18:36:56 UTC; matthew
Author: Matthew de Queljoe [aut, cre], Marcin Kalicinski [ctb, cph] (Author of RapidXML library), Emmanuel Blondel [ctb, cph] (<https://orcid.org/0000-0002-5870-5762>, SDMX-ML test files)
Repository: CRAN
Date/Publication: 2019-02-01 15:10:07 UTC

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Package polymapR updated to version 1.0.19 with previous version 1.0.18 dated 2018-11-01

Title: Linkage Analysis in Outcrossing Polyploids
Description: Creation of linkage maps in polyploid species from marker dosage scores of an F1 cross from two heterozygous parents. Currently works for outcrossing diploid, autotriploid, autotetraploid and autohexaploid species, as well as segmental allotetraploids. Methods are described in a manuscript of Bourke et al. (2018) <doi:10.1093/bioinformatics/bty371>.
Author: Peter Bourke [aut, cre], Geert van Geest [aut]
Maintainer: Peter Bourke <pbourkey@gmail.com>

Diff between polymapR versions 1.0.18 dated 2018-11-01 and 1.0.19 dated 2019-02-01

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Package nimble updated to version 0.7.0 with previous version 0.6.13 dated 2019-01-25

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, particle filtering, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic algorithms as well. A full User Manual is available at <https://r-nimble.org>.
Author: Perry de Valpine, Christopher Paciorek, Daniel Turek, Cliff Anderson-Bergman, Nick Michaud, Fritz Obermeyer, Claudia Wehrhahn Cortes, Abel Rodriguez, Duncan Temple Lang, and see AUTHORS file for additional contributors.
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between nimble versions 0.6.13 dated 2019-01-25 and 0.7.0 dated 2019-02-01

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New package bootstrapFP with initial version 0.4.2
Package: bootstrapFP
Type: Package
Title: Bootstrap Algorithms for Finite Population Inference
Version: 0.4.2
Date: 2019-01-22
Authors@R: person("Roberto", "Sichera", email = "roberto.sichera@unipa.it", role = c("aut", "cre"))
Description: Finite Population bootstrap algorithms to estimate the variance of the Horvitz-Thompson estimator for single-stage sampling. For a survey of bootstrap methods for finite populations, see Mashreghi et Al. (2016) <doi:10.1214/16-SS113>.
License: GPL-3
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/rhobis/bootstrapFP/issues
RoxygenNote: 6.1.1
Imports: sampling
NeedsCompilation: no
Packaged: 2019-01-22 17:26:16 UTC; roberto
Author: Roberto Sichera [aut, cre]
Maintainer: Roberto Sichera <roberto.sichera@unipa.it>
Repository: CRAN
Date/Publication: 2019-02-01 15:53:22 UTC

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Package bootLR updated to version 1.0.2 with previous version 1.0 dated 2015-07-12

Title: Bootstrapped Confidence Intervals for (Negative) Likelihood Ratio Tests
Description: Computes appropriate confidence intervals for the likelihood ratio tests commonly used in medicine/epidemiology, using the method of Marill et al. (2015) <doi:10.1177/0962280215592907>. It is particularly useful when the sensitivity or specificity in the sample is 100%. Note that this does not perform the test on nested models--for that, see 'epicalc::lrtest'.
Author: Keith A. Marill and Ari B. Friedman
Maintainer: Ari B. Friedman <abfriedman@gmail.com>

Diff between bootLR versions 1.0 dated 2015-07-12 and 1.0.2 dated 2019-02-01

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Package BayesMallows updated to version 0.3.1 with previous version 0.3.0 dated 2019-01-30

Title: Bayesian Preference Learning with the Mallows Rank Model
Description: An implementation of the Bayesian version of the Mallows rank model (Vitelli et al., Journal of Machine Learning Research, 2018 <http://jmlr.org/papers/v18/15-481.html>; Crispino et al., to appear in Annals of Applied Statistics). Both Cayley, footrule, Hamming, Kendall, Spearman, and Ulam distances are supported in the models. The rank data to be analyzed can be in the form of complete rankings, top-k rankings, partially missing rankings, as well as consistent and inconsistent pairwise preferences. Several functions for plotting and studying the posterior distributions of parameters are provided. The package also provides functions for estimating the partition function (normalizing constant) of the Mallows rank model, both with the importance sampling algorithm of Vitelli et al. and asymptotic approximation with the IPFP algorithm (Mukherjee, Annals of Statistics, 2016 <doi:10.1214/15-AOS1389>).
Author: Oystein Sorensen, Valeria Vitelli, Marta Crispino, Qinghua Liu
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

Diff between BayesMallows versions 0.3.0 dated 2019-01-30 and 0.3.1 dated 2019-02-01

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Package fcros updated to version 1.6 with previous version 1.5.6 dated 2018-03-23

Title: A Method to Search for Differentially Expressed Genes and to Detect Recurrent Chromosomal Copy Number Aberrations
Description: A fold change rank based method is presented to search for genes with changing expression and to detect recurrent chromosomal copy number aberrations. This method may be useful for high-throughput biological data (micro-array, sequencing, ...). Probabilities are associated with genes or probes in the data set and there is no problem of multiple tests when using this method. For array-based comparative genomic hybridization data, segmentation results are obtained by merging the significant probes detected.
Author: Doulaye Dembele
Maintainer: Doulaye Dembele <doulaye@igbmc.fr>

Diff between fcros versions 1.5.6 dated 2018-03-23 and 1.6 dated 2019-02-01

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Package factorstochvol updated to version 0.9 with previous version 0.8.3 dated 2016-12-31

Title: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models
Description: Markov chain Monte Carlo (MCMC) sampler for fully Bayesian estimation of latent factor stochastic volatility models with interweaving <doi:10.1080/10618600.2017.1322091>. Sparsity can be achieved through the usage of Normal-Gamma priors on the factor loading matrix <doi:10.1016/j.jeconom.2018.11.007>.
Author: Gregor Kastner [aut, cre] (<https://orcid.org/0000-0002-8237-8271>)
Maintainer: Gregor Kastner <gregor.kastner@wu.ac.at>

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Package QCEWAS updated to version 1.2-2 with previous version 1.1-0 dated 2016-12-09

Title: Fast and Easy Quality Control of EWAS Results Files
Description: Tools for (automated and manual) quality control of the results of Epigenome-Wide Association Studies.
Author: Peter J. van der Most, Leanne K. Kupers, Ilja Nolte
Maintainer: Peter J. van der Most <p.j.van.der.most@umcg.nl>

Diff between QCEWAS versions 1.1-0 dated 2016-12-09 and 1.2-2 dated 2019-02-01

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Package fda.usc updated to version 1.5.0 with previous version 1.4.0 dated 2018-02-14

Title: Functional Data Analysis and Utilities for Statistical Computing
Description: Routines for exploratory and descriptive analysis of functional data such as depth measurements, atypical curves detection, regression models, supervised classification, unsupervised classification and functional analysis of variance.
Author: Manuel Febrero Bande [aut], Manuel Oviedo de la Fuente [aut, cre], Pedro Galeano [ctb], Alicia Nieto [ctb], Eduardo Garcia-Portugues [ctb]
Maintainer: Manuel Oviedo de la Fuente <manuel.oviedo@usc.es>

Diff between fda.usc versions 1.4.0 dated 2018-02-14 and 1.5.0 dated 2019-02-01

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Package plsRbeta updated to version 0.2.5 with previous version 0.2.3 dated 2018-08-28

Title: Partial Least Squares Regression for Beta Regression Models
Description: Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <http://journal-sfds.fr/article/view/215>) and k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
Author: Frederic Bertrand [cre, aut] (<https://orcid.org/0000-0002-0837-8281>), Myriam Maumy-Bertrand [aut] (<https://orcid.org/0000-0002-4615-1512>)
Maintainer: Frederic Bertrand <frederic.bertrand@math.unistra.fr>

Diff between plsRbeta versions 0.2.3 dated 2018-08-28 and 0.2.5 dated 2019-02-01

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Package BiodiversityR updated to version 2.11-1 with previous version 2.10-1 dated 2018-07-14

Title: Package for Community Ecology and Suitability Analysis
Description: Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.
Author: Roeland Kindt
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>

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Package mnreadR updated to version 2.1.2 with previous version 2.1.1 dated 2018-11-14

Title: MNREAD Parameters Estimation and Curve Plotting
Description: Allows to analyze the reading data obtained with the MNREAD Acuity Chart, a continuous-text reading acuity chart for normal and low vision. Provides the necessary functions to plot the MNREAD curve and estimate automatically the four MNREAD parameters: Maximum Reading Speed, Critical Print Size, Reading Acuity and Reading Accessibility Index. Parameters can be estimated either with the standard method or with a nonlinear mixed-effects (NLME) modeling. See Calabrese et al. 2018 for more details <doi.org/10.1167/18.1.8>.
Author: Aurélie Calabrèse [aut, cre], J. Steve Mansfield [aut], Gordon E. Legge [aut]
Maintainer: Aurélie Calabrèse <acalabre@umn.edu>

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Package stochvol updated to version 2.0.0 with previous version 1.3.3 dated 2017-09-19

Title: Efficient Bayesian Inference for Stochastic Volatility (SV) Models
Description: Efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models via Markov chain Monte Carlo (MCMC) methods. Methodological details are given in Kastner and Frühwirth-Schnatter (2014) <doi:10.1016/j.csda.2013.01.002>; the most common use cases are described in Kastner (2016) <doi:10.18637/jss.v069.i05>. Also incorporates SV with leverage.
Author: Gregor Kastner [aut] (<https://orcid.org/0000-0002-8237-8271>), Darjus Hosszejni [aut, cre] (<https://orcid.org/0000-0002-3803-691X>)
Maintainer: Darjus Hosszejni <darjus.hosszejni@wu.ac.at>

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Package reproducible updated to version 0.2.6 with previous version 0.2.5 dated 2018-11-16

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

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Package pamr updated to version 1.56 with previous version 1.55 dated 2014-08-27

Title: Pam: Prediction Analysis for Microarrays
Description: Some functions for sample classification in microarrays.
Author: T. Hastie, R. Tibshirani, Balasubramanian Narasimhan, Gil Chu
Maintainer: Rob Tibshirani <tibs@stanford.edu>

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Package MALDIquantForeign updated to version 0.12 with previous version 0.11.5 dated 2018-08-14

Title: Import/Export Routines for 'MALDIquant'
Description: Functions for reading (tab, csv, Bruker fid, Ciphergen XML, mzXML, mzML, imzML, Analyze 7.5, CDF, mMass MSD) and writing (tab, csv, mMass MSD, mzML, imzML) different file formats of mass spectrometry data into/from 'MALDIquant' objects.
Author: Sebastian Gibb [aut, cre] (<https://orcid.org/0000-0001-7406-4443>), Pietro Franceschi [ctb]
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>

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Package pcgen (with last version 0.1.0.0) was removed from CRAN

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

2018-08-02 0.1.0.0

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Package polychaosbasics (with last version 1.1-1) was removed from CRAN

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

2017-03-01 1.1-1
2016-03-11 1.1-0

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Package heemod (with last version 0.9.2) was removed from CRAN

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

2017-09-15 0.9.2
2017-05-09 0.9.1
2017-04-07 0.9.0
2017-02-10 0.8.0
2016-11-29 0.7.1
2016-11-21 0.7.0
2016-11-11 0.6.0
2016-10-28 0.5.1
2016-10-17 0.5.0
2016-09-16 0.4.0
2016-07-01 0.3.3
2016-06-13 0.3.2
2016-04-04 0.3.1
2016-03-20 0.3.0
2016-02-08 0.2.0
2015-12-23 0.1.0

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Package simsurv updated to version 0.2.3 with previous version 0.2.2 dated 2018-05-18

Title: Simulate Survival Data
Description: Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or a user-defined function of time. Clustered event times are also accommodated. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions reflecting those seen in practice. If the user wishes to provide a user-defined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closed-form solution. Note that this package is modelled on the 'survsim' package available in the 'Stata' software (see Crowther and Lambert (2012) <http://www.stata-journal.com/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).
Author: Sam Brilleman [cre, aut, cph], Alessandro Gasparini [ctb]
Maintainer: Sam Brilleman <sam.brilleman@monash.edu>

Diff between simsurv versions 0.2.2 dated 2018-05-18 and 0.2.3 dated 2019-02-01

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Package genetics updated to version 1.3.8.1.1 with previous version 1.3.8.1 dated 2013-09-03

Title: Population Genetics
Description: Classes and methods for handling genetic data. Includes classes to represent genotypes and haplotypes at single markers up to multiple markers on multiple chromosomes. Function include allele frequencies, flagging homo/heterozygotes, flagging carriers of certain alleles, estimating and testing for Hardy-Weinberg disequilibrium, estimating and testing for linkage disequilibrium, ...
Author: Gregory Warnes, with contributions from Gregor Gorjanc, Friedrich Leisch, and Michael Man.
Maintainer: Gregory Warnes <greg@warnes.net>

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Package RcmdrPlugin.EZR updated to version 1.38 with previous version 1.37 dated 2018-04-05

Title: R Commander Plug-in for the EZR (Easy R) Package
Description: EZR (Easy R) adds a variety of statistical functions, including survival analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to the R commander. EZR enables point-and-click easy access to statistical functions, especially for medical statistics. EZR is platform-independent and runs on Windows, Mac OS X, and UNIX. Its complete manual is available only in Japanese (Chugai Igakusha, ISBN: 978-4-498-10901-8 or Nankodo, ISBN: 978-4-524-26158-1), but an report that introduced the investigation of EZR was published in Bone Marrow Transplantation (Nature Publishing Group) as an Open article. This report can be used as a simple manual. It can be freely downloaded from the journal website as shown below. This report has been cited in more than 2,000 scientific articles.
Author: Yoshinobu Kanda
Maintainer: Yoshinobu Kanda <ycanda-tky@umin.ac.jp>

Diff between RcmdrPlugin.EZR versions 1.37 dated 2018-04-05 and 1.38 dated 2019-02-01

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Package lawn updated to version 0.5.0 with previous version 0.4.2 dated 2017-10-13

Title: Client for 'Turfjs' for 'Geospatial' Analysis
Description: Client for 'Turfjs' (<http://turfjs.org>) for 'geospatial' analysis. The package revolves around using 'GeoJSON' data. Functions are included for creating 'GeoJSON' data objects, measuring aspects of 'GeoJSON', and combining, transforming, and creating random 'GeoJSON' data objects.
Author: Scott Chamberlain [aut, cre], Jeff Hollister [aut], Morgan Herlocker [cph]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between lawn versions 0.4.2 dated 2017-10-13 and 0.5.0 dated 2019-02-01

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 99 files changed, 1894 insertions(+), 450 deletions(-)

More information about lawn at CRAN
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