Thu, 17 Sep 2020

Package trend updated to version 1.1.4 with previous version 1.1.3 dated 2020-09-01

Title: Non-Parametric Trend Tests and Change-Point Detection
Description: The analysis of environmental data often requires the detection of trends and change-points. This package includes tests for trend detection (Cox-Stuart Trend Test, Mann-Kendall Trend Test, (correlated) Hirsch-Slack Test, partial Mann-Kendall Trend Test, multivariate (multisite) Mann-Kendall Trend Test, (Seasonal) Sen's slope, partial Pearson and Spearman correlation trend test), change-point detection (Lanzante's test procedures, Pettitt's test, Buishand Range Test, Buishand U Test, Standard Normal Homogeinity Test), detection of non-randomness (Wallis-Moore Phase Frequency Test, Bartels rank von Neumann's ratio test, Wald-Wolfowitz Test) and the two sample Robust Rank-Order Distributional Test.
Author: Thorsten Pohlert [aut, cre] (<https://orcid.org/0000-0003-3855-3025>)
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>

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Package ActiveDriverWGS updated to version 1.1.1 with previous version 1.1.0 dated 2020-09-07

Title: A Driver Discovery Tool for Cancer Whole Genomes
Description: A method for finding an enrichment of cancer simple somatic mutations (SNVs and Indels) in functional elements across the human genome. 'ActiveDriverWGS' detects coding and noncoding driver elements using whole genome sequencing data. The method is part of the following publication: Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks. Molecular Cell (2020) <doi:10.1016/j.molcel.2019.12.027>.
Author: Juri Reimand [aut, cre], Helen Zhu [aut]
Maintainer: Juri Reimand <juri.reimand@utoronto.ca>

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Package rFIA updated to version 0.2.4 with previous version 0.2.3 dated 2020-05-16

Title: Space-Time Estimation of Forest Variables using the FIA Database
Description: The goal of 'rFIA' is to increase the accessibility and use of the United States Forest Services (USFS) Forest Inventory and Analysis (FIA) Database by providing a user-friendly, open source toolkit to easily query and analyze FIA Data. Designed to accommodate a wide range of potential user objectives, 'rFIA' simplifies the estimation of forest variables from the FIA Database and allows all R users (experts and newcomers alike) to unlock the flexibility inherent to the Enhanced FIA design. Specifically, 'rFIA' improves accessibility to the spatio-temporal estimation capacity of the FIA Database by producing space-time indexed summaries of forest variables within user-defined population boundaries. Direct integration with other popular R packages (e.g., 'dplyr', 'tidyr', and 'sf') facilitates efficient space-time query and data summary, and supports common data representations and API design. The package implements design-based estimation procedures outlined by Bechtold & Patterson (2005) <doi:10.2737/SRS-GTR-80>, and has been validated against estimates and sampling errors produced by FIA 'EVALIDator'. Current development is focused on the implementation of spatially-enabled model-assisted estimators to improve population, change, and ratio estimates.
Author: Hunter Stanke [aut, cre], Andrew Finley [aut]
Maintainer: Hunter Stanke <stankehu@msu.edu>

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Package sortable updated to version 0.4.4 with previous version 0.4.3 dated 2020-08-26

Title: Drag-and-Drop in 'shiny' Apps with 'SortableJS'
Description: Enables drag-and-drop behaviour in Shiny apps, by exposing the functionality of the 'SortableJS' <https://sortablejs.github.io/Sortable/> JavaScript library as an 'htmlwidget'. You can use this in Shiny apps and widgets, 'learnr' tutorials as well as R Markdown. In addition, provides a custom 'learnr' question type - 'question_rank()' - that allows ranking questions with drag-and-drop.
Author: Andrie de Vries [cre, aut], Barret Schloerke [aut], Kenton Russell [aut, ccp] (Original author), RStudio [cph, fnd], Lebedev Konstantin [cph] ('SortableJS', https://sortablejs.github.io/Sortable/)
Maintainer: Andrie de Vries <apdevries@gmail.com>

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Package hmi updated to version 0.9.20 with previous version 0.9.19 dated 2020-07-29

Title: Hierarchical Multiple Imputation
Description: Runs single level and multilevel imputation models. The user just has to pass the data to the main function and, optionally, his analysis model. Basically the package then translates this analysis model into commands to impute the data according to it with functions from 'mice', 'MCMCglmm' or routines build for this package.
Author: Matthias Speidel [aut, cre] (Munich, Germany), Joerg Drechsler [aut] (Institute for Employment Research, Nuremberg, Germany), Shahab Jolani [aut] (Maastricht University, Maastricht, The Netherlands)
Maintainer: Matthias Speidel <matthias.speidel@googlemail.com>

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Package usethis updated to version 1.6.3 with previous version 1.6.1 dated 2020-04-29

Title: Automate Package and Project Setup
Description: Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more.
Author: Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package caRamel updated to version 1.2 with previous version 1.1 dated 2019-05-28

Title: Automatic Calibration by Evolutionary Multi Objective Algorithm
Description: Multi-objective optimizer initially developed for the calibration of hydrological models. The algorithm is a hybrid of the MEAS algorithm (Efstratiadis and Koutsoyiannis (2005) <doi:10.13140/RG.2.2.32963.81446>) by using the directional search method based on the simplexes of the objective space and the epsilon-NGSA-II algorithm with the method of classification of the parameter vectors archiving management by epsilon-dominance (Reed and Devireddy <doi:10.1142/9789812567796_0004>).
Author: Nicolas Le Moine [aut], Celine Monteil [aut], Frederic Hendrickx [ctb], Fabrice Zaoui [aut, cre]
Maintainer: Fabrice Zaoui <fabrice.zaoui@edf.fr>

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Package landscapemetrics updated to version 1.5.0 with previous version 1.4.6 dated 2020-08-10

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), Project Nayuki [ctb] (Original author of underlying C++ code for get_circumscribingcircle and lsm_p_circle), Matt Strimas-Mackey [ctb] (Bugfix in sample_metrics())
Maintainer: Maximillian H.K. Hesselbarth <mhk.hesselbarth@gmail.com>

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Package fastStat updated to version 1.4 with previous version 1.3 dated 2019-11-22

Title: Faster for Statistic Work
Description: When we do statistic work, we need to see the structure of the data. list.str() function will help you see the structure of the data quickly. list.plot() function can help you check every variable in your dataframe. table_one() function will make it easy to make a baseline table including difference tests. uv_linear(), uv_logit(), uv_cox(), uv_logrank() will give you a hand to do univariable regression analysis, while mv_linear(), mv_logit() and mv_cox() will carry out multivariable regression analysis.
Author: Jing Zhang [aut, cre], Zhi Jin [aut]
Maintainer: Jing Zhang <zj391120@163.com>

Diff between fastStat versions 1.3 dated 2019-11-22 and 1.4 dated 2020-09-17

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Package TreeDist updated to version 1.2.1 with previous version 1.2.0 dated 2020-08-28

Title: Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith, 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Calculates the median of a set of trees under any distance metric.
Author: Martin R. Smith [aut, cre, cph, prg] (<https://orcid.org/0000-0001-5660-1727>), Roy Jonker [prg, cph], Yong Yang [ctb, cph], Yi Cao [ctb, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeDist versions 1.2.0 dated 2020-08-28 and 1.2.1 dated 2020-09-17

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Package SwimmeR updated to version 0.4.2 with previous version 0.4.1 dated 2020-08-28

Title: Data Import, Cleaning, and Conversions for Swimming Results
Description: The goal for of the 'SwimmeR' package is to provide means of acquiring, and then analyzing, data from swimming (and diving) competitions. To that end 'SwimmeR' allows results to be read in from .html sources, like 'Hy-Tek' real time results pages, '.pdf' files, and now (on a development basis) '.hy3' files. Once read in, 'SwimmeR' can convert swimming times (performances) between the computationally useful format of seconds reported to the '100ths' place (e.g. 95.37), and the conventional reporting format (1:35.37) used in the swimming community. 'SwimmeR' can also score meets in a variety of formats with user defined point values, convert times between courses ('LCM', 'SCM', 'SCY') and draw single elimination brackets, as well as providing a suite of tools for working cleaning swimming data. This is a developmental package, not yet mature.
Author: Greg Pilgrim [aut, cre] (<https://orcid.org/0000-0001-7831-442X>), Caitlin Baldwin [ctb]
Maintainer: Greg Pilgrim <gpilgrim2670@gmail.com>

Diff between SwimmeR versions 0.4.1 dated 2020-08-28 and 0.4.2 dated 2020-09-17

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Package idiogramFISH updated to version 1.16.6 with previous version 1.16.1 dated 2020-07-30

Title: Idiograms with Marks and Karyotype Indices
Description: Plot idiograms of karyotypes, plasmids, circular chr. having a set of data.frames for chromosome data and optionally mark data. Two styles of chromosomes can be used: without or with visible chromatids (when not circular). Supports micrometers, cM and Mb or any unit. Two styles of centromeres are available: triangular and rounded; and six styles of marks: square (squareLeft), dots, cM (cMLeft), cenStyle, upArrow, downArrow; its legend (label) can be drawn inline or to the right of karyotypes. Idiograms can also be plotted in concentric circles. It is possible to calculate chromosome indices by Levan et al. (1964) <doi:10.1111/j.1601-5223.1964.tb01953.x>, karyotype indices of Watanabe et al. (1999) <doi:10.1007/PL00013869> and Romero-Zarco (1986) <doi:10.2307/1221906> and classify chromosomes by morphology Guerra (1986) and Levan et al. (1964).
Author: Fernando Roa [aut, cre], Mariana PC Telles [ctb]
Maintainer: Fernando Roa <froao@unal.edu.co>

Diff between idiogramFISH versions 1.16.1 dated 2020-07-30 and 1.16.6 dated 2020-09-17

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Package ascii updated to version 2.4 with previous version 2.3 dated 2020-07-27

Title: Export R Objects to Several Markup Languages
Description: Coerce R object to 'asciidoc', 'txt2tags', 'restructuredText', 'org', 'textile' or 'pandoc' syntax. Package comes with a set of drivers for 'Sweave'.
Author: David Hajage [aut], Mark Clements [cre, ctb], Seth Falcon [ctb], Terry Therneau [ctb], Matti Pastell [ctb], Friedrich Leisch [ctb]
Maintainer: Mark Clements <mark.clements@ki.se>

Diff between ascii versions 2.3 dated 2020-07-27 and 2.4 dated 2020-09-17

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New package weibull4 with initial version 0.1.0
Package: weibull4
Type: Package
Title: Fits Data into 4-Parameters Weibull Distribution
Version: 0.1.0
Author: Vitor Hugo Moreau
Maintainer: Vitor Hugo Moreau <vitorhmc@ufba.br>
Description: Performs a curve fit to 4-parameters Weibull distribution using Metropolis algorithm - Markov chain-Monte Carlo method. Special usage for fitting COVID-19 epidemic data on daily new cases and deaths. Also, builds the 4-parameters Weibull distribution curve using given parameters (shape, scale, location and area).
License: Creative Commons Attribution 4.0 International License
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-10 17:30:22 UTC; vhmoreau
Repository: CRAN
Date/Publication: 2020-09-17 12:50:03 UTC

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New package waves with initial version 0.1.0
Package: waves
Title: Vis-NIR Spectral Analysis Wrapper
Version: 0.1.0
Authors@R: c( person(given = "Jenna", family = "Hershberger", role = c("aut", "cre"), email = "jmh579@cornell.edu", comment = c(ORCID = "0000-0002-3147-6867")), person(given = "Michael", family = "Gore", role = "ths"), person("NSF BREAD IOS-1543958", role = "fnd") )
Description: Originally designed application in the context of resource-limited plant research and breeding programs, 'waves' provides an open-source solution to spectral data processing and model development by bringing useful packages together into a streamlined pipeline. This package is wrapper for functions related to the analysis of point visible and near-infrared reflectance measurements. It includes visualization, filtering, aggregation, preprocessing, cross-validation set formation, model training, and prediction functions to enable open-source association of spectral and reference data. Specialized cross-validation schemes are described in detail in Jarquín et al. (2017) <doi:10.3835/plantgenome2016.12.0130>. Example data is from Ikeogu et al. (2017) <doi:10.1371/journal.pone.0188918>.
URL: https://github.com/GoreLab/waves
Maintainer: Jenna Hershberger <jmh579@cornell.edu>
BugReports: https://github.com/GoreLab/waves/issues
Depends: R (>= 3.5)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, prospectr, spectacles, caret, pls, randomForest, wesanderson, magrittr, tidyselect, ggplot2, tidyr (>= 1.0), stringr, rlang
RoxygenNote: 6.1.1
Suggests: testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2020-09-10 14:54:09 UTC; Jenna
Author: Jenna Hershberger [aut, cre] (<https://orcid.org/0000-0002-3147-6867>), Michael Gore [ths], NSF BREAD IOS-1543958 [fnd]
Repository: CRAN
Date/Publication: 2020-09-17 12:10:02 UTC

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Package SMMA updated to version 1.0.3 with previous version 1.0.2 dated 2018-01-18

Title: Soft Maximin Estimation for Large Scale Array-Tensor Models
Description: Efficient design matrix free procedure for solving a soft maximin problem for large scale array-tensor structured models, see Lund, Mogensen and Hansen (2019) <arXiv:1805.02407>. Currently Lasso and SCAD penalized estimation is implemented.
Author: Adam Lund
Maintainer: Adam Lund <adam.lund@math.ku.dk>

Diff between SMMA versions 1.0.2 dated 2018-01-18 and 1.0.3 dated 2020-09-17

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Package mstknnclust updated to version 0.3.1 with previous version 0.3.0 dated 2020-07-14

Title: MST-kNN Clustering Algorithm
Description: Implements the MST-kNN clustering algorithm which was proposed by Inostroza-Ponta, M. (2008) <https://trove.nla.gov.au/work/28729389?selectedversion=NBD44634158>.
Author: Jorge Parraga-Alava [aut, cre], Pablo Moscato [aut], Mario Inostroza-Ponta [aut]
Maintainer: Jorge Parraga-Alava <jorge.parraga@usach.cl>

Diff between mstknnclust versions 0.3.0 dated 2020-07-14 and 0.3.1 dated 2020-09-17

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New package MAPITR with initial version 1.0.5
Package: MAPITR
Title: MArginal ePIstasis Test for Regions
Version: 1.0.5
Date: 2020-09-10
Authors@R: c(person(given="Michael",family="Turchin",email = "michael_turchin@brown.edu", role=c("aut","cre"), comment=c(ORCID="0000-0003-3569-1529")), person(given="Gregory",family="Darnell",email="gbd343@gmail.com", role=c("aut","ctb"), comment=c(ORCID="0000-0003-0425-940X")), person(given="Lorin",family="Crawford",email = "lcrawford@brown.edu", role=c("aut","ctb"), comment=c(ORCID="0000-0003-0178-8242")), person(given="Sohini",family="Ramachandran",email="sramachandran@brown.edu", role="aut", comment=c(ORCID="0000-0002-9588-7964")), person(given="Peter",family="Carbonetto",email="peter.carbonetto@gmail.com", role="ctb", comment=c(ORCID="0000-0003-1144-6780")))
Description: A genetic analysis tool and variance component model for identifying marginal epistasis between pathways and the rest of the genome. 'MAPITR' uses as input a matrix of genotypes, a vector of phenotypes, and a list of pathways, and iteratively tests each pathway for epistasis between any variants within the pathway versus any variants remaining in the rest of the genome. 'MAPITR' returns results in the form of p-values for every pathway indicating whether the null model of there being no epistatic interactions between a pathway and the rest of the genome can be rejected.
License: MIT + file LICENSE
URL: https://github.com/mturchin20/MAPITR
BugReports: https://github.com/mturchin20/MAPITR/issues
Depends: R (>= 3.3.0)
Imports: utils, stats, doParallel, Rcpp (>= 1.0.5), CompQuadForm
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 7.1.1
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
Packaged: 2020-09-10 15:29:55 UTC; mturchin20
Author: Michael Turchin [aut, cre] (<https://orcid.org/0000-0003-3569-1529>), Gregory Darnell [aut, ctb] (<https://orcid.org/0000-0003-0425-940X>), Lorin Crawford [aut, ctb] (<https://orcid.org/0000-0003-0178-8242>), Sohini Ramachandran [aut] (<https://orcid.org/0000-0002-9588-7964>), Peter Carbonetto [ctb] (<https://orcid.org/0000-0003-1144-6780>)
Maintainer: Michael Turchin <michael_turchin@brown.edu>
Repository: CRAN
Date/Publication: 2020-09-17 12:30:03 UTC

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New package inldata with initial version 1.0.3
Package: inldata
Title: Collection of Datasets for the USGS-INL Aquifer Monitoring Networks
Version: 1.0.3
Authors@R: person(given = c("Jason", "C."), family = "Fisher", role=c("aut", "cre"), email = "jfisher@usgs.gov", comment = c(ORCID="0000-0001-9032-8912"))
Description: Contains data for the U.S. Geological Survey-Idaho National Laboratory (USGS-INL) aquifer monitoring networks administrated by the Idaho National Laboratory Project Office in cooperation with the U.S. Department of Energy.
Depends: R (>= 3.5.0)
Imports: sp, raster
Suggests: dataRetrieval, inlmisc, knitr, maptools, rgdal, rgeos, stats, tools, utils
License: CC0
URL: https://code.usgs.gov/inl/inldata
BugReports: https://code.usgs.gov/inl/inldata/-/issues
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey (USGS), an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-10 15:32:00 UTC; jfisher
Author: Jason C. Fisher [aut, cre] (<https://orcid.org/0000-0001-9032-8912>)
Maintainer: Jason C. Fisher <jfisher@usgs.gov>
Repository: CRAN
Date/Publication: 2020-09-17 12:40:03 UTC

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New package glvmfit with initial version 0.0.0
Package: glvmfit
Title: Methods to Assess Generalized Latent Variable Model Fit
Version: 0.0.0
Authors@R: c( person(given = "Tyler", family = "Matta", role = c("aut", "cre"), email = "tyler.matta@gmail.com"), person(given = "Daniel", family = "McNeish", role = "aut", email = "dmcneish@asu.edu"))
Description: Provides standardized root mean residual global fit index for generalized latent variable models.
Encoding: UTF-8
LazyData: true
License: GPL-3
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-09-10 17:21:51 UTC; tmatta
Author: Tyler Matta [aut, cre], Daniel McNeish [aut]
Maintainer: Tyler Matta <tyler.matta@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-17 12:50:07 UTC

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New package condTruncMVN with initial version 0.0.2
Package: condTruncMVN
Version: 0.0.2
Type: Package
Title: Conditional Truncated Multivariate Normal Distribution
Authors@R: person("Paul M.", "Hargarten", email = "hargartenp@vcu.edu", role = c("aut", "cre"))
Maintainer: Paul M. Hargarten <hargartenp@vcu.edu>
Description: Computes the density and probability for the conditional truncated multivariate normal (Horrace (2005) p. 4, <doi:10.1016/j.jmva.2004.10.007>). Also draws random samples from this distribution.
License: GPL-3
Depends: R(>= 3.5.0)
Imports: condMVNorm(>= 2020.1), matrixNormal(>= 0.0.1), tmvmixnorm(>= 1.0.2), tmvtnorm(>= 1.4-10), truncnorm(>= 1.0-8)
Suggests: formatR, knitr, rmarkdown, roxygen2, sessioninfo, spelling, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Language: en-US
BugReports: https://github.com/phargarten2/condTruncMVN/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-10 17:55:52 UTC; pablo
Author: Paul M. Hargarten [aut, cre]
Repository: CRAN
Date/Publication: 2020-09-17 12:50:11 UTC

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New package bmgarch with initial version 1.0.0
Package: bmgarch
Title: Bayesian Multivariate GARCH Models
Version: 1.0.0
Authors@R: c( person(given = "Philippe", family = "Rast", role = c("aut", "cre"), email = "rast.ph@gmail.com", comment = c(ORCID = "0000-0003-3630-6629")), person(given = "Stephen", family = "Martin", role = c("aut"), email = "stephenSRMmartin@gmail.com", comment = c(ORCID = "0000-0001-8085-2390")))
Description: Fit Bayesian multivariate GARCH models using 'Stan' for full Bayesian inference. Generate (weighted) forecasts for means, variances (volatility) and correlations. Currently DCC(P,Q), CCC(P,Q), pdBEKK(P,Q), and BEKK(P,Q) parameterizations are implemented, based either on a multivariate gaussian normal or student-t distribution. DCC and CCC models are based on Engle (2002) <doi:10.1198/073500102288618487> and Bollerslev (1990) <doi:10.2307/2109358>. The BEKK parameterization follows Engle and Kroner (1995) <doi:10.1017/S0266466600009063> while the pdBEKK as well as the estimation approach for this package is described in Rast et al. (2020) <doi:10.31234/osf.io/j57pk>. The fitted models contain 'rstan' objects and can be examined with 'rstan' functions.
License: GPL (>= 3)
Depends: methods, R (>= 3.5.0), Rcpp (>= 1.0.1)
Imports: rstan (>= 2.21.2), rstantools (>= 1.5.1), ggplot2, MASS, forecast, loo, Rdpack
LinkingTo: BH (>= 1.69.0-1), Rcpp (>= 1.0.1), RcppEigen (>= 0.3.3.5.0), rstan (>= 2.18.2), StanHeaders (>= 2.18.1)
RdMacros: Rdpack
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
RoxygenNote: 7.1.1
Suggests: testthat (>= 2.1.0)
BugReports: https://github.com/ph-rast/bmgarch/issues
Packaged: 2020-09-10 20:51:05 UTC; philippe
Author: Philippe Rast [aut, cre] (<https://orcid.org/0000-0003-3630-6629>), Stephen Martin [aut] (<https://orcid.org/0000-0001-8085-2390>)
Maintainer: Philippe Rast <rast.ph@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-17 13:00:03 UTC

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Package starvars updated to version 1.1.1 with previous version 0.1.8 dated 2020-08-13

Title: Vector Logistic Smooth Transition Models / Realized Covariances Construction
Description: Allows the user to estimate a vector logistic smooth transition autoregressive model via maximum log-likelihood or nonlinear least squares. It further permits to test for linearity in the multivariate framework against a vector logistic smooth transition autoregressive model with a single transition variable. The estimation method is discussed in Terasvirta and Yang (2014, <doi:10.1108/S0731-9053(2013)0000031008>). Also, realized covariances can be constructed from stock market prices or returns, as explained in Andersen et al. (2001, <doi:10.1016/S0304-405X(01)00055-1>).
Author: Andrea Bucci [aut, cre, cph], Giulio Palomba [aut], Eduardo Rossi [aut], Andrea Faragalli [ctb]
Maintainer: Andrea Bucci <andrea.bucci@unich.it>

Diff between starvars versions 0.1.8 dated 2020-08-13 and 1.1.1 dated 2020-09-17

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New package eatTools with initial version 0.3.6
Package: eatTools
Type: Package
Title: Miscellaneous Functions for the Analysis of Educational Assessments
Version: 0.3.6
Depends: R (>= 3.5.0)
Imports: stats, data.table
Date: 2020-09-10
Authors@R: c( person("Sebastian", "Weirich", email = "sebastian.weirich@iqb.hu-berlin.de", role = c("aut", "cre")), person("Martin", "Hecht", role = c("aut")), person("Karoline", "Sachse", role = c("aut")), person("Benjamin", "Becker", role = c("aut")), person("Nicole", "Mahler", role = c("aut")))
Description: Miscellaneous functions for data cleaning and data analysis of educational assessments. Includes functions for descriptive analyses, character vector manipulations and weighted statistics. Mainly a lightweight dependency for the packages 'eatRep', 'eatGADS', 'eatPrep' and 'eatModel' (which will be subsequently submitted to 'CRAN'). The function for defining (weighted) contrasts in weighted effect coding refers to te Grotenhuis et al. (2017) <doi:10.1007/s00038-016-0901-1>. Functions for weighted statistics refer to Wolter (2007) <doi:10.1007/978-0-387-35099-8>.
License: GPL (>= 2)
LazyData: true
LazyLoad: yes
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2020-09-10 10:47:16 UTC; Sebastian Weirich
Author: Sebastian Weirich [aut, cre], Martin Hecht [aut], Karoline Sachse [aut], Benjamin Becker [aut], Nicole Mahler [aut]
Maintainer: Sebastian Weirich <sebastian.weirich@iqb.hu-berlin.de>
Repository: CRAN
Date/Publication: 2020-09-17 11:40:03 UTC

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New package dfrr with initial version 0.1.4
Package: dfrr
Type: Package
Title: Dichotomized Functional Response Regression
Version: 0.1.4
Authors@R: c( person("Fatemeh", "Asgari", email = "ft.asgari@sci.ui.ac.ir", role = c("aut", "cre")), person("Saeed", "Hayati", email = "s.hayati@sci.ui.ac.ir", role = c("aut", "ctb")) )
Maintainer: Fatemeh Asgari <ft.asgari@sci.ui.ac.ir>
Description: Implementing Function-on-Scalar Regression model in which the response function is dichotomized and observed sparsely. This package provides smooth estimations of functional regression coefficients and principal components for the dichotomized functional response regression (dfrr) model.
License: GPL-3
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 3.5.0), tmvtnorm (>= 1.4-10), fda (>= 5.1.4)
Imports: MASS, ggplot2, plotly
Suggests: car
URL: https://github.com/asgari-fatemeh/dfrr
BugReports: https://github.com/asgari-fatemeh/dfrr/issues
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-10 13:58:43 UTC; Saeed
Author: Fatemeh Asgari [aut, cre], Saeed Hayati [aut, ctb]
Repository: CRAN
Date/Publication: 2020-09-17 12:00:02 UTC

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New package cmsafops with initial version 1.0.0
Package: cmsafops
Title: Tools for CM SAF NetCDF Data
Version: 1.0.0
Authors@R: person(given = "Steffen", family = "Kothe", role = c("aut", "cre"), email = "Steffen.Kothe@dwd.de")
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<http://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafops' R-package provides a collection of R-operators for the analysis and manipulation of CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
URL: https://www.cmsaf.eu
License: GPL (>= 3)
Depends: R (>= 3.6)
Imports: assertthat (>= 0.2.1), fields (>= 10.3), FNN (>= 1.1), ncdf4 (>= 1.17), rainfarmr (>= 0.1), raster (>= 3.0), sp (>= 1.4)
NeedsCompilation: no
Repository: CRAN
LazyData: true
Suggests: cmsaf, cmsafvis, spelling (>= 2.1), testthat (>= 2.3)
RoxygenNote: 7.1.1
Encoding: UTF-8
Language: en-US
Packaged: 2020-09-10 12:03:15 UTC; stkothe
Author: Steffen Kothe [aut, cre]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>
Date/Publication: 2020-09-17 11:50:07 UTC

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New package treeplyr with initial version 0.1.10
Package: treeplyr
Type: Package
Title: 'dplyr' Functionality for Matched Tree and Data Objects
Version: 0.1.10
Date: 2020-09-04
Authors@R: c( person(given = "Josef", family = "Uyeda", role=c("cre"), email="juyeda@vt.edu", comment = c(ORCID="0000-0003-4624-9680") ), person(given = "Luke", family = "Harmon", role = c("aut"), email = "lukeh@uidaho.edu", comment = c(ORCID="0000-0002-4985-5750") ) )
Maintainer: Josef Uyeda <juyeda@vt.edu>
Description: Matches phylogenetic trees and trait data, and allows simultaneous manipulation of the tree and data using 'dplyr'.
License: GPL-2 | GPL-3
Depends: ape (>= 3.0-6), dplyr (>= 0.8.0), R (>= 3.1.2)
Imports: Rcpp (>= 0.10.3), lazyeval, phytools, geiger
LinkingTo: Rcpp
URL: https://github.com/uyedaj/treeplyr
BugReports: https://github.com/uyedaj/treeplyr/issues
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-09-14 13:24:18 UTC; juyeda
Author: Josef Uyeda [cre] (<https://orcid.org/0000-0003-4624-9680>), Luke Harmon [aut] (<https://orcid.org/0000-0002-4985-5750>)
Repository: CRAN
Date/Publication: 2020-09-17 10:10:02 UTC

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Package TBRDist updated to version 1.0.2 with previous version 1.0.1 dated 2020-07-07

Title: Rearrangement Distances Between Unrooted Phylogenetic Trees
Description: Fast calculation of the Subtree Prune and Regraft (SPR), Tree Bisection and Reconnection (TBR) and Replug distances between unrooted trees, using the algorithms of Whidden and Matsen (2017) <arxiv:1511.07529>.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Chris Whidden [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TBRDist versions 1.0.1 dated 2020-07-07 and 1.0.2 dated 2020-09-17

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Package spsur updated to version 1.0.1.6 with previous version 1.0.1.5 dated 2020-08-12

Title: Spatial Seemingly Unrelated Regression Models
Description: A collection of functions to test and estimate Seemingly Unrelated Regression (usually called SUR) models, with spatial structure, by maximum likelihood and three-stage least squares. The package estimates the most common spatial specifications, that is, SUR with Spatial Lag of X regressors (called SUR-SLX), SUR with Spatial Lag Model (called SUR-SLM), SUR with Spatial Error Model (called SUR-SEM), SUR with Spatial Durbin Model (called SUR-SDM), SUR with Spatial Durbin Error Model (called SUR-SDEM), SUR with Spatial Autoregressive terms and Spatial Autoregressive Disturbances (called SUR-SARAR), SUR-SARAR with Spatial Lag of X regressors (called SUR-GNM) and SUR with Spatially Independent Model (called SUR-SIM). The methodology of these models can be found in next references Mur, J., Lopez, F., and Herrera, M. (2010) <doi:10.1080/17421772.2010.516443> Lopez, F.A., Mur, J., and Angulo, A. (2014) <doi:10.1007/s00168-014-0624-2>.
Author: Ana Angulo [aut], Fernando A Lopez [aut], Roman Minguez [aut, cre], Jesus Mur [aut]
Maintainer: Roman Minguez <roman.minguez@uclm.es>

Diff between spsur versions 1.0.1.5 dated 2020-08-12 and 1.0.1.6 dated 2020-09-17

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Package solitude updated to version 1.1.1 with previous version 1.0.1 dated 2020-07-07

Title: An Implementation of Isolation Forest
Description: Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detection (Liu, Ting and Zhou <doi:10.1145/2133360.2133363>).
Author: Komala Sheshachala Srikanth [aut, cre]
Maintainer: Komala Sheshachala Srikanth <sri.teach@gmail.com>

Diff between solitude versions 1.0.1 dated 2020-07-07 and 1.1.1 dated 2020-09-17

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Package worldmet updated to version 0.9.2 with previous version 0.9.0 dated 2020-07-06

Title: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD)
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD, see <https://www.ncdc.noaa.gov/isd>).
Author: David Carslaw [aut, cre]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between worldmet versions 0.9.0 dated 2020-07-06 and 0.9.2 dated 2020-09-17

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Package rdataretriever updated to version 3.0.0 with previous version 2.0.0 dated 2019-05-25

Title: R Interface to the Data Retriever
Description: Provides an R interface to the Data Retriever <https://retriever.readthedocs.io/en/latest/> via the Data Retriever's command line interface. The Data Retriever automates the tasks of finding, downloading, and cleaning public datasets, and then stores them in a local database.
Author: Daniel McGlinn [aut] (<https://orcid.org/0000-0003-2359-3526>), Pranita Sharma [aut] (<https://orcid.org/0000-0002-5871-380X>), David J Harris [aut] (<https://orcid.org/0000-0003-3332-9307>), Henry Senyondo [aut, cre] (<https://orcid.org/0000-0001-7105-5808>), Hao Ye [aut] (<https://orcid.org/0000-0002-8630-1458>), Shawn Taylor [aut] (<https://orcid.org/0000-0002-6178-6903>), Apoorva Pandey [aut] (<https://orcid.org/0000-0001-9834-4415>), Harshit Bansal [aut] (<https://orcid.org/0000-0002-3285-812X>), Max Pohlman [aut], Ethan White [aut] (<https://orcid.org/0000-0001-6728-7745>)
Maintainer: Henry Senyondo <henrykironde@gmail.com>

Diff between rdataretriever versions 2.0.0 dated 2019-05-25 and 3.0.0 dated 2020-09-17

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 man/install.Rd                                  |   12 
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 man/install_sqlite.Rd                           |   21 
 man/install_xml.Rd                              |   19 
 man/reset.Rd                                    |    2 
 tests/testthat/test-retriever.R                 |   74 ++-
 tests/testthat/test-retriever_v1_0_0_backward.R |   27 -
 tests/testthat/test_helper.R                    |   36 -
 30 files changed, 828 insertions(+), 342 deletions(-)

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New package postpack with initial version 0.5.2
Package: postpack
Title: Utilities for Processing Posterior Samples Stored in 'mcmc.lists'
Version: 0.5.2
Authors@R: person("Ben", "Staton", email = "statonbe@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2342-3482"))
Description: The aim of 'postpack' is to provide the infrastructure for a standardized workflow for 'mcmc.list' objects. These objects can be used to store output from models fitted with Bayesian inference using 'JAGS', 'WinBUGS', 'OpenBUGS', 'NIMBLE', 'Stan', or even custom MCMC algorithms. Although the 'coda' R package provides some methods for these objects, it is somewhat limited in easily performing post-processing tasks for specific nodes. Models are ever increasing in their complexity and the number of tracked nodes, and oftentimes a user may wish to summarize/diagnose sampling behavior for only a small subset of nodes at a time for a particular question or figure. Thus, many 'postpack' functions support performing tasks on a subset of nodes, where the subset is specified with regular expressions. The functions in 'postpack' streamline the extraction, summarization, and diagnostics of specific monitored nodes after model fitting. Further, because there is rarely only ever one model under consideration, 'postpack' scales efficiently to perform the same tasks on output from multiple models simultaneously, facilitating rapid assessment of model sensitivity to changes in assumptions.
Depends: R (>= 3.5.0)
Imports: stringr (>= 1.3.1), matrixcalc, coda, mcmcse, abind
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://bstaton1.github.io/postpack/
BugReports: https://github.com/bstaton1/postpack/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-09 22:23:57 UTC; bstaton
Author: Ben Staton [aut, cre] (<https://orcid.org/0000-0002-2342-3482>)
Maintainer: Ben Staton <statonbe@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-17 09:30:03 UTC

More information about postpack at CRAN
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New package PheCAP with initial version 1.2.1
Package: PheCAP
Type: Package
Title: High-Throughput Phenotyping with EHR using a Common Automated Pipeline
Version: 1.2.1
Authors@R: c( person("Yichi", "Zhang", role = "aut"), person("Chuan", "Hong", role = "aut"), person("Tianxi", "Cai", role = "aut"), person(family = "PARSE LTD", role = c("aut", "cre"), email = "software@parse-health.org") )
Description: Implement surrogate-assisted feature extraction (SAFE) and common machine learning approaches to train and validate phenotyping models. Background and details about the methods can be found at Zhang et al. (2019) <doi:10.1038/s41596-019-0227-6>, Yu et al. (2017) <doi:10.1093/jamia/ocw135>, and Liao et al. (2015) <doi:10.1136/bmj.h1885>.
URL: https://celehs.github.io/PheCAP/, https://github.com/celehs/PheCAP
BugReports: https://github.com/celehs/PheCAP/issues
License: GPL-3
Encoding: UTF-8
ByteCompile: yes
Imports: graphics, methods, stats, utils, glmnet, RMySQL
Suggests: ggplot2, e1071, randomForestSRC, xgboost, knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.3.0)
RoxygenNote: 7.1.1
LazyData: true
NeedsCompilation: no
Packaged: 2020-09-17 08:41:04 UTC; ubuntu
Author: Yichi Zhang [aut], Chuan Hong [aut], Tianxi Cai [aut], PARSE LTD [aut, cre]
Maintainer: PARSE LTD <software@parse-health.org>
Repository: CRAN
Date/Publication: 2020-09-17 09:30:18 UTC

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New package PBIR with initial version 0.1-0
Package: PBIR
Type: Package
Title: Estimating the Probability of Being in Response and Related Outcomes
Version: 0.1-0
Author: Xiaodong Luo [aut], Bo Huang [aut], Lu Tian [aut, cre](<https://orcid.org/0000-0002-5893-0169>)
Maintainer: Lu Tian <lutian@stanford.edu>
Description: Make statistical inference on the probability of being in response, the duration of response, and the cumulative response rate up to a given time point. The method can be applied to analyze phase II randomized clinical trials with the endpoints being time to treatment response and time to progression or death.
License: GPL (>= 2)
Imports: survival, stats, cmprsk
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Repository: CRAN
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-09 17:34:41 UTC; lutia
Date/Publication: 2020-09-17 09:10:12 UTC

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New package mvGPS with initial version 1.0.2
Package: mvGPS
Title: Causal Inference using Multivariate Generalized Propensity Score
Version: 1.0.2
Authors@R: person(given = "Justin", family = "Williams", role = c("aut", "cre"), email = "williazo@ucla.edu", comment = c(ORCID = "https://orcid.org/0000-0002-5045-2764"))
Description: Methods for estimating weights and generalized propensity score for multiple continuous exposures via the generalized propensity score described in Williams, J.R, and Cresi, C.M (2020) <arxiv:2008.13767>. Weights are constructed assuming an underlying multivariate normal density for the marginal and conditional distribution of exposures given a set of confounders. These weights can then be used to estimate dose-response curves or surfaces. This method achieves balance across all exposure dimension rather than along a single dimension.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.0
RdMacros: Rdpack
VignetteBuilder: knitr
Depends: R (>= 3.6)
Imports: Rdpack, MASS, WeightIt, cobalt, matrixNormal, geometry, sp, gbm, CBPS
BugReports: https://github.com/williazo/mvGPS/issues
URL: https://github.com/williazo/mvGPS
Suggests: testthat, knitr, dagitty, ggdag, dplyr, rmarkdown
NeedsCompilation: no
Packaged: 2020-09-09 15:14:13 UTC; williazo
Author: Justin Williams [aut, cre] (<https://orcid.org/0000-0002-5045-2764>)
Maintainer: Justin Williams <williazo@ucla.edu>
Repository: CRAN
Date/Publication: 2020-09-17 09:10:03 UTC

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New package keyToEnglish with initial version 0.1.0
Package: keyToEnglish
Type: Package
Title: Convert Data to Memorable Phrases
Version: 0.1.0
Author: Max Candocia
Maintainer: Max Candocia <maxcandocia@gmail.com>
URL: https://github.com/mcandocia/keyToEnglish
Description: Convert keys and other values to memorable phrases. Includes some methods to build lists of words.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: openssl, stringr, jsonlite
Depends: R (>= 3.4.0)
RoxygenNote: 7.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-09-10 05:28:58 UTC; mscan
Repository: CRAN
Date/Publication: 2020-09-17 09:30:08 UTC

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New package gde with initial version 0.1.4
Package: gde
Title: GBIF Dataset Explorer
Version: 0.1.4
Date: 2020-09-09
Authors@R: c(person("Luis J", "Villanueva", email = "villanueval@si.edu", role = c("aut", "cre")) )
Description: Functions to explore datasets from the Global Biodiversity Information Facility (GBIF - <https://www.gbif.org/>) using a Shiny interface.
Encoding: UTF-8
Imports: dplyr, stringr, DT, XML, data.table, R.utils, readr, jsonlite, progress, rgbif, httr, shinyWidgets, shinycssloaders
Depends: R(>= 3.2.0), DBI, leaflet, shiny, ggplot2, odbc
License: Apache License (>= 2.0)
URL: https://github.com/Smithsonian/GBIF-Dataset-Explorer
BugReports: https://github.com/Smithsonian/GBIF-Dataset-Explorer/issues
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-09 21:08:35 UTC; villanueval
Author: Luis J Villanueva [aut, cre]
Maintainer: Luis J Villanueva <villanueval@si.edu>
Repository: CRAN
Date/Publication: 2020-09-17 09:10:08 UTC

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Package do updated to version 1.5.0.0 with previous version 1.4.0.0 dated 2020-07-27

Title: Data Operator
Description: Flexibly convert data between long and wide format using just two functions: reshape_toLong() and reshape_toWide().
Author: Jing Zhang, Zhi Jin
Maintainer: Jing Zhang<zj391120@163.com>

Diff between do versions 1.4.0.0 dated 2020-07-27 and 1.5.0.0 dated 2020-09-17

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 do-1.5.0.0/do/R/reverse.R                   |   26 ---
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 do-1.5.0.0/do/man/unique_no.NA.Rd           |   44 +++---
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 54 files changed, 1140 insertions(+), 1084 deletions(-)

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New package diyar with initial version 0.2.0
Package: diyar
Type: Package
Title: Multistage Record Linkage and Case Definition for Epidemiological Analysis
Date: 2020-09-16
Version: 0.2.0
URL: https://olisansonwu.github.io/diyar/index.html,
BugReports: https://github.com/OlisaNsonwu/diyar/issues
Author: Olisaeloka Nsonwu
Maintainer: Olisaeloka Nsonwu <olisa.nsonwu@gmail.com>
Description: Perform multistage deterministic linkages and apply case definitions to datasets. Records are linked by different matching criteria in a specified order of certainty. The linkage process handles missing data and conflicting matches using this same order. Track events (e.g. sample collection) and period (e.g. hospital admission) to episodes. This process permits several options such as episode lengths and recurrence. Record linkage and episode tracking assign unique group identifiers to matched records. Duplicate events or records can then be identified or sub-analyses performed within each group.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: methods, grDevices, graphics, utils, Rfast
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2020-09-16 15:07:10 UTC; Olisaeloka.Nsonwu
Repository: CRAN
Date/Publication: 2020-09-17 09:30:12 UTC

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New package zipcodeR with initial version 0.1.0
Package: zipcodeR
Title: Data & Functions for Working with US ZIP Codes
Version: 0.1.0
Authors@R: person(given = "Gavin", family = "Rozzi", role = c("aut", "cre"), email = "gr@gavinrozzi.com", comment = c(ORCID = "0000-0002-9969-8175"))
Description: Make working with ZIP codes in R painless with an integrated dataset of U.S. ZIP codes and functions for working with them. Search ZIP codes by multiple geographies, including state, county, city & across time zones. Also included are functions for relating ZIP codes to Census data.
License: GPL-3
URL: https://github.com/gavinrozzi/zipcodeR/, https://www.gavinrozzi.com/project/zipcoder/
BugReports: https://github.com/gavinrozzi/zipcodeR/issues/
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: rlang
Depends: R (>= 2.10), dplyr, stringr
NeedsCompilation: no
Packaged: 2020-09-09 11:05:24 UTC; shore
Author: Gavin Rozzi [aut, cre] (<https://orcid.org/0000-0002-9969-8175>)
Maintainer: Gavin Rozzi <gr@gavinrozzi.com>
Repository: CRAN
Date/Publication: 2020-09-17 08:50:03 UTC

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New package textshaping with initial version 0.1.0
Package: textshaping
Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Version: 0.1.0
Authors@R: c( person("Thomas Lin", "Pedersen", , "thomas.pedersen@rstudio.com", c("cre", "aut"), comment = c(ORCID = "0000-0002-5147-4711")), person("RStudio", role = "cph") )
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: cpp11, systemfonts (>= 0.3.0)
LinkingTo: cpp11, systemfonts
SystemRequirements: C++11, freetype2, harfbuzz, fribidi
URL: https://github.com/r-lib/textshaping
BugReports: https://github.com/r-lib/textshaping/issues
Suggests: covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-09-09 07:22:32 UTC; thomas
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>
Repository: CRAN
Date/Publication: 2020-09-17 08:10:02 UTC

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Package R3port updated to version 0.2.4 with previous version 0.2.3 dated 2020-03-16

Title: Report Functions to Create HTML and PDF Files
Description: Create and combine HTML and PDF reports from within R. Possibility to design tables and listings for reporting and also include R plots.
Author: Richard Hooijmaijers [aut, cre], Richard Hooijmaijers [cph]
Maintainer: Richard Hooijmaijers <richardhooijmaijers@gmail.com>

Diff between R3port versions 0.2.3 dated 2020-03-16 and 0.2.4 dated 2020-09-17

 DESCRIPTION                   |    8 ++++----
 MD5                           |   26 +++++++++++++-------------
 NEWS.md                       |    7 +++++++
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 man/ltx_list.Rd               |    3 +++
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 14 files changed, 70 insertions(+), 46 deletions(-)

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Package openxlsx updated to version 4.2.2 with previous version 4.1.5 dated 2020-05-06

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], Joshua Sturm [ctb]
Maintainer: Philipp Schauberger <philipp@schauberger.co.at>

Diff between openxlsx versions 4.1.5 dated 2020-05-06 and 4.2.2 dated 2020-09-17

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 49 files changed, 1478 insertions(+), 677 deletions(-)

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New package lsei with initial version 1.3-0
Package: lsei
Title: Solving Least Squares or Quadratic Programming Problems under Equality/Inequality Constraints
Version: 1.3-0
Date: 2020-09-07
Authors@R: c( person("Yong", "Wang", email = "yongwang@auckland.ac.nz", role = c("aut","cre")), person("Charles L.", "Lawson", role = "aut"), person("Richard J.", "Hanson", role = "aut"))
Description: It contains functions that solve least squares linear regression problems under linear equality/inequality constraints. Functions for solving quadratic programming problems are also available, which transform such problems into least squares ones first. It is developed based on the 'Fortran' program of Lawson and Hanson (1974, 1995), which is public domain and available at <http://www.netlib.org/lawson-hanson/>.
Encoding: UTF-8
License: GPL (>= 2)
URL: https://www.stat.auckland.ac.nz/~yongwang/
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-06 21:47:31 UTC; yong
Author: Yong Wang [aut, cre], Charles L. Lawson [aut], Richard J. Hanson [aut]
Maintainer: Yong Wang <yongwang@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2020-09-17 08:20:03 UTC

More information about lsei at CRAN
Permanent link

New package lefko3 with initial version 2.4.2
Package: lefko3
Type: Package
Title: Historical and Ahistorical Population Projection Matrix Analysis
Version: 2.4.2
Date: 2020-09-09
Authors@R: c(person(given = "Richard P.", family = "Shefferson", email = "cdorm@g.ecc.u-tokyo.ac.jp", role = c("aut", "cre"), comment=c(ORCID="0000-0002-5234-3131")), person(given = "Johan", family = "Ehrlen", role = "aut", comment=c(ORCID="0000-0001-8539-8967")))
Description: Creates matrix population models for use in population ecological analyses. Specializes on the construction of historical matrices, which are 2d matrices comprising 3 time intervals of demographic information. Estimates both raw and function-based forms of historical and standard ahistorical matrices. Methodology based on Ehrlen (2000) <doi:10.1890/0012-9658(2000)081[1675:TDOPPD]2.0.CO;2>.
Encoding: UTF-8
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.3), glmmTMB, lme4, MASS, MuMIn, RSpectra, stats, stringr
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, popbio, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-09-09 08:50:48 UTC; richshefferson
Author: Richard P. Shefferson [aut, cre] (<https://orcid.org/0000-0002-5234-3131>), Johan Ehrlen [aut] (<https://orcid.org/0000-0001-8539-8967>)
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-09-17 08:20:08 UTC

More information about lefko3 at CRAN
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New package IRTBEMM with initial version 1.0.4
Package: IRTBEMM
Type: Package
Title: Family of Bayesian EMM Algorithm for Item Response Models
Version: 1.0.4
Date: 2020-09-09
Authors@R: c(person("Shaoyang", "Guo", role = c("aut", "cre", "cph"), email = "syguo1992@outlook.com"), person("Chanjin", "Zheng", role = "aut"), person("Justin L", "Kern", role = "aut"))
Description: Applying the family of the Bayesian Expectation-Maximization-Maximization (BEMM) algorithm to estimate: (1) Three parameter logistic (3PL) model proposed by Birnbaum (1968, ISBN:9780201043105); (2) four parameter logistic (4PL) model proposed by Barton & Lord (1981) <doi:10.1002/j.2333-8504.1981.tb01255.x>; (3) one parameter logistic guessing (1PLG) and (4) one parameter logistic ability-based guessing (1PLAG) models proposed by San Martín et al (2006) <doi:10.1177/0146621605282773>. The BEMM family includes (1) the BEMM algorithm for 3PL model proposed by Guo & Zheng (2019) <doi:10.3389/fpsyg.2019.01175>; (2) the BEMM algorithm for 1PLG model and (3) the BEMM algorithm for 1PLAG model proposed by Guo, Wu, Zheng, & Wang (2018) <https:www.ncme.org/news/past-meetings/2018-recap>; (4) the BEMM algorithm for 4PL model proposed by Zhang, Guo, & Zheng (2018) <https:www.ncme.org/news/past-meetings/2018-recap>; and (5) their maximum likelihood estimation versions proposed by Zheng, Meng, Guo, & Liu (2018) <doi:10.3389/fpsyg.2017.02302>. Thus, both Bayesian modal estimates and maximum likelihood estimates are available.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2020-09-09 12:53:16 UTC; syguo1992
Encoding: UTF-8
Author: Shaoyang Guo [aut, cre, cph], Chanjin Zheng [aut], Justin L Kern [aut]
Maintainer: Shaoyang Guo <syguo1992@outlook.com>
Repository: CRAN
Date/Publication: 2020-09-17 09:00:09 UTC

More information about IRTBEMM at CRAN
Permanent link

New package fairsubset with initial version 1.0
Package: fairsubset
Type: Package
Title: Choose Representative Subsets
Version: 1.0
Date: 2020-08-14
Author: Joe Delaney
Maintainer: Joe Delaney <delaneyj@musc.edu>
Description: Allows user to obtain subsets of columns of data or vectors within a list. These subsets will match the original data in terms of average and variation, but have a consistent length of data per column. It is intended for use on automated data generation which may not always output the same N per replicate or sample.
URL: https://pubmed.ncbi.nlm.nih.gov/31583263/
License: GPL-3
Imports: matrixStats, stats
RoxygenNote: 7.1.1
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-14 13:19:56 UTC; JoeDel
Repository: CRAN
Date/Publication: 2020-09-17 08:50:08 UTC

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Package effectsize updated to version 0.3.3 with previous version 0.3.2 dated 2020-07-27

Title: Indices of Effect Size and Standardized Parameters
Description: Provide utilities to work with indices of effect size and standardized parameters for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), allowing computation and conversion of indices such as Cohen's d, r, odds, etc.
Author: Mattan S. Ben-Shachar [aut, cre] (<https://orcid.org/0000-0002-4287-4801>), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Ken Kelley [ctb], David Stanley [ctb]
Maintainer: Mattan S. Ben-Shachar <matanshm@post.bgu.ac.il>

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More information about effectsize at CRAN
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Package downloadthis updated to version 0.2.1 with previous version 0.2.0 dated 2020-05-04

Title: Implement Download Buttons in 'rmarkdown'
Description: Implement download buttons in HTML output from 'rmarkdown' without the need for 'runtime:shiny'.
Author: Felipe Mattioni Maturana [aut, cre] (<https://orcid.org/0000-0002-4221-6104>)
Maintainer: Felipe Mattioni Maturana <felipe.mattioni@med.uni-tuebingen.de>

Diff between downloadthis versions 0.2.0 dated 2020-05-04 and 0.2.1 dated 2020-09-17

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More information about downloadthis at CRAN
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New package disdat with initial version 1.0-0
Package: disdat
Type: Package
Title: Data for Comparing Species Distribution Modeling Methods
Version: 1.0-0
Date: 2020-09-07
Maintainer: Roozbeh Valavi <valavi.r@gmail.com>
License: GPL (>= 3)
Encoding: UTF-8
LazyLoad: yes
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, sf, terra, raster, rgdal, mapview
VignetteBuilder: knitr
NeedsCompilation: no
Authors@R: c( person("Robert J.", "Hijmans", role = "aut", email = "r.hijmans@gmail.com", comment = c(ORCID = "0000-0001-5872-2872")), person("Roozbeh", "Valavi", role = c("cre", "aut"), email = "valavi.r@gmail.com"), person("Jane", "Elith", role = "aut", email = "j.elith@gmail.com"))
Description: Easy access to species distribution data for 6 regions in the world, for a total of 226 anonymised species. These data are described and made available by Elith et al (2020) <doi:10.17161/bi.v15i2.13384> to compare species distribution modelling methods.
Packaged: 2020-09-09 10:05:03 UTC; rvalavi
Author: Robert J. Hijmans [aut] (<https://orcid.org/0000-0001-5872-2872>), Roozbeh Valavi [cre, aut], Jane Elith [aut]
Repository: CRAN
Date/Publication: 2020-09-17 08:40:10 UTC

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Package EFAtools updated to version 0.2.0 with previous version 0.1.1 dated 2020-07-13

Title: Fast and Flexible Implementations of Exploratory Factor Analysis Tools
Description: Provides functions to perform exploratory factor analysis (EFA) procedures and compare their solutions. The goal is to provide state-of-the-art factor retention methods and a high degree of flexibility in the EFA procedures. This way, for example, implementations from R 'psych' and 'SPSS' can be compared. Moreover, functions for Schmid-Leiman transformation and the computation of omegas are provided. To speed up the analyses, some of the iterative procedures, like principal axis factoring (PAF), are implemented in C++.
Author: Markus Steiner [aut, cre], Silvia Grieder [aut], William Revelle [ctb], Max Auerswald [ctb], Morten Moshagen [ctb], John Ruscio [ctb], Brendan Roche [ctb], Urbano Lorenzo-Seva [ctb], David Navarro-Gonzalez [ctb]
Maintainer: Markus Steiner <markus.d.steiner@gmail.com>

Diff between EFAtools versions 0.1.1 dated 2020-07-13 and 0.2.0 dated 2020-09-17

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More information about EFAtools at CRAN
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Package boxcoxmix updated to version 0.28 with previous version 0.21 dated 2018-09-25

Title: Box-Cox-Type Transformations for Linear and Logistic Models with Random Effects
Description: Box-Cox-type transformations for linear and logistic models with random effects using non-parametric profile maximum likelihood estimation. The main functions are optim.boxcox() for linear models with random effects and boxcoxtype() for logistic models with random effects.
Author: Amani Almohaimeed and Jochen Einbeck
Maintainer: Amani Almohaimeed <amani.almohaimeed@gmail.com>

Diff between boxcoxmix versions 0.21 dated 2018-09-25 and 0.28 dated 2020-09-17

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Package SSBtools updated to version 0.8.0 with previous version 0.7.0 dated 2020-07-20

Title: Statistics Norway's Miscellaneous Tools
Description: Functions used by other packages from Statistics Norway are gathered. General data manipulation functions, and functions for hierarchical computations are included. The hierarchy specification functions are useful within statistical disclosure control.
Author: Øyvind Langsrud [aut, cre], Bjørn-Helge Mevik [cph]
Maintainer: Øyvind Langsrud <oyl@ssb.no>

Diff between SSBtools versions 0.7.0 dated 2020-07-20 and 0.8.0 dated 2020-09-17

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Package rpart.plot updated to version 3.0.9 with previous version 3.0.8 dated 2019-08-22

Title: Plot 'rpart' Models: An Enhanced Version of 'plot.rpart'
Description: Plot 'rpart' models. Extends plot.rpart() and text.rpart() in the 'rpart' package.
Author: Stephen Milborrow
Maintainer: Stephen Milborrow <milbo@sonic.net>

Diff between rpart.plot versions 3.0.8 dated 2019-08-22 and 3.0.9 dated 2020-09-17

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More information about rpart.plot at CRAN
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Package RNGforGPD updated to version 1.0.3 with previous version 1.0.2 dated 2019-06-26

Title: Random Number Generation for Generalized Poisson Distribution
Description: Generation of univariate and multivariate data that follow the generalized Poisson distribution. The details of the univariate part are explained in Demirtas (2017), and the multivariate part is an extension of the correlated Poisson data generation routine that was introduced in Yahav and Shmueli (2012).
Author: Hesen Li, Ruizhe Chen, Hai Nguyen, Yu-che Chung, Ran Gao, Hakan Demirtas
Maintainer: Ruizhe Chen <rchen18@uic.edu>

Diff between RNGforGPD versions 1.0.2 dated 2019-06-26 and 1.0.3 dated 2020-09-17

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Package LHD updated to version 1.2.0 with previous version 1.1.0 dated 2020-06-02

Title: Latin Hypercube Designs (LHDs) Algorithms
Description: Contains different algorithms for efficient Latin Hypercube Designs (LHDs) with flexible sizes. Our package is comprehensive since it is capable of generating maximin distance LHDs, maximum projection LHDs, and nearly orthogonal LHDs. Documentation for each algorithm includes useful information and explanation along with corresponding references. This package is particularly useful in the area of Design and Analysis of Experiments (DAE). More specifically, design of computer experiments.
Author: Hongzhi Wang, Qian Xiao, Abhyuday Mandal
Maintainer: Hongzhi Wang <hw34508@uga.edu>

Diff between LHD versions 1.1.0 dated 2020-06-02 and 1.2.0 dated 2020-09-17

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More information about LHD at CRAN
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Package globals updated to version 0.13.0 with previous version 0.12.5 dated 2019-12-07

Title: Identify Global Objects in R Expressions
Description: Identifies global ("unknown" or "free") objects in R expressions by code inspection using various strategies, e.g. conservative or liberal. The objective of this package is to make it as simple as possible to identify global objects for the purpose of exporting them in distributed compute environments.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between globals versions 0.12.5 dated 2019-12-07 and 0.13.0 dated 2020-09-17

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Package geouy updated to version 0.2.3 with previous version 0.2.2 dated 2020-08-01

Title: Geographic Information of Uruguay
Description: The toolbox have functions to load and process geographic information for Uruguay. And extra-function to get address coordinates and orthophotos through the uruguayan 'IDE' API <https://www.gub.uy/infraestructura-datos-espaciales/tramites-y-servicios/servicios/servicio-direcciones-geograficas>.
Author: Richard Detomasi [aut, cre] (<https://orcid.org/0000-0002-6725-0261>), Ministerio de Desarrollo Social, Uruguay (MIDES) [dtc], Infraestrutura de Datos Espaciales, Uruguay (IDE) [dtc], Servicio Geográfico Militar, Uruguay (SGM) [dtc], Ministerio de Transporte y Obras Públicas, Uruguay (MTOP) [dtc], Instituto Nacional de Estadística, Uruguay (INE) [dtc], Instituto Geográfico Militar, Uruguay (IGM) [dtc], Ministerio de Vivienda, Ordenamiento Territorial y Medio Ambiente, Uruguay (MVOTMA) [dtc]
Maintainer: Richard Detomasi <richard.detomasi@gmail.com>

Diff between geouy versions 0.2.2 dated 2020-08-01 and 0.2.3 dated 2020-09-17

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