New package slurmR with initial version 0.3-0
Package: slurmR
Title: A Lightweight Wrapper for 'Slurm'
Version: 0.3-0
Authors@R: c( person("George", "Vega Yon", email = "g.vegayon@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3171-0844")), person("Paul", "Marjoram", email = "pmarjora@usc.edu", role = c("ctb", "ths"), comment = c(ORCID = "0000-0003-0824-7449")), person("National Cancer Institute (NCI)", role = "fnd", comment = "Grant Number 5P01CA196569-02"), person("Michael", "Schubert", role = "rev", comment = c(what = "JOSS reviewer", ORCID = "0000-0002-6862-5221")), person("Michel", "Lang", role = "rev", comment = c(what = "JOSS reviewer", ORCID = "0000-0001-9754-0393")) )
Description: 'Slurm', Simple Linux Utility for Resource Management <https://slurm.schedmd.com/>, is a popular 'Linux' based software used to schedule jobs in 'HPC' (High Performance Computing) clusters. This R package provides a specialized lightweight wrapper of 'Slurm' with a syntax similar to that found in the 'parallel' R package. The package also includes a method for creating socket cluster objects spanning multiple nodes that can be used with the 'parallel' package.
Depends: R (>= 3.3.0), parallel
License: MIT + file LICENSE
BugReports: https://github.com/USCbiostats/slurmR/issues
URL: https://github.com/USCbiostats/slurmR, https://slurm.schedmd.com/
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Suggests: rslurm, knitr, rmarkdown, covr, tinytest
Imports: utils
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2019-12-19 22:37:54 UTC; george
Author: George Vega Yon [aut, cre] (<https://orcid.org/0000-0002-3171-0844>), Paul Marjoram [ctb, ths] (<https://orcid.org/0000-0003-0824-7449>), National Cancer Institute (NCI) [fnd] (Grant Number 5P01CA196569-02), Michael Schubert [rev] (JOSS reviewer, <https://orcid.org/0000-0002-6862-5221>), Michel Lang [rev] (JOSS reviewer, <https://orcid.org/0000-0001-9754-0393>)
Maintainer: George Vega Yon <g.vegayon@gmail.com>
Repository: CRAN
Date/Publication: 2019-12-31 02:00:02 UTC

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New package Quartet with initial version 1.0.3
Package: Quartet
Version: 1.0.3
Title: Comparison of Phylogenetic Trees Using Quartet and Bipartition Measures
Description: Calculates the number of four-taxon subtrees consistent with a pair of cladograms, calculating the symmetric quartet distance of Bandelt & Dress (1986), Reconstructing the shape of a tree from observed dissimilarity data, Advances in Applied Mathematics, 7, 309-343 <doi:10.1016/0196-8858(86)90038-2>, and using the tqDist algorithm of Sand et al. (2014), tqDist: a library for computing the quartet and triplet distances between binary or general trees, Bioinformatics, 30, 2079–2080 <doi:10.1093/bioinformatics/btu157> for pairs of bifurcating trees.
URL: https://github.com/ms609/Quartet
BugReports: https://github.com/ms609/Quartet/issues
Authors@R: c(person("Martin R.", 'Smith', email='martin.smith@durham.ac.uk', role=c("aut", "cre", "cph"), comment=c(ORCID = "0000-0001-5660-1727")), person('Andreas', 'Sand', role=c('ant')), person('Gerth', 'Stølting Brodal', role=c('ant')), person('Rolf', 'Fagerberg', role=c('ant')), person('Thomas', 'Mailund', role=c('ant')), person('Christian N. S.', 'Pedersen', email='cstorm@birc.au.dk', role=c('ant')), person('Jens', 'Johansen', role=c('ant')), person('Morten K.', 'Holt', role=c('ant')) )
Copyright: Incorporates code modified from tqDist <doi:10.1093/bioinformatics/btu157>.
License: GPL (>= 2)
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.4.0)
Imports: ape, memoise, Rdpack, Ternary (>= 1.0), TreeSearch (> 0.3.0)
Suggests: bookdown, knitr, phangorn, Rcpp, rmarkdown, testthat, usethis
SystemRequirements: C++11
RdMacros: Rdpack
LinkingTo: Rcpp
LazyData: true
ByteCompile: true
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-12-16 16:22:03 UTC; ms609
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Andreas Sand [ant], Gerth Stølting Brodal [ant], Rolf Fagerberg [ant], Thomas Mailund [ant], Christian N. S. Pedersen [ant], Jens Johansen [ant], Morten K. Holt [ant]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>
Repository: CRAN
Date/Publication: 2019-12-30 17:30:02 UTC

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New package multilinguer with initial version 0.0.3
Package: multilinguer
Title: Gentle Language Installer for R User
Version: 0.0.3
Authors@R: person(given = "Chanyub", family = "Park", role = c("aut","cre"), email = "mrchypark@gmail.com", comment = c(ORCID = "0000-0001-6474-2570"))
Description: Provides install functions of other languages such as 'java', 'python' for windows and macos.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/mrchypark/multilinguer
BugReports: https://github.com/mrchypark/multilinguer/issues
RoxygenNote: 7.0.2
Imports: sys, fs, usethis, zip, askpass, xml2, rvest, rstudioapi
NeedsCompilation: no
Packaged: 2019-12-14 08:23:30 UTC; mrchypark
Author: Chanyub Park [aut, cre] (<https://orcid.org/0000-0001-6474-2570>)
Maintainer: Chanyub Park <mrchypark@gmail.com>
Repository: CRAN
Date/Publication: 2019-12-30 17:00:02 UTC

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New package sbw with initial version 1.0
Package: sbw
Type: Package
Version: 1.0
Date: 2019-12-06
Title: Stable Balancing Weights for Causal Inference and Estimation with Incomplete Outcome Data
Authors@R: c(person("Jose R.", "Zubizarreta", role = c("aut", "cre"), email = "zubizarreta@hcp.med.harvard.edu"), person("Yige", "Li", role = "aut", email = "yige_li@hcp.med.harvard.edu"), person("Amine", "Allouah", role = "ctb", email = "mallouah19@gsb.columbia.edu"), person("Noah", "Greifer", role = "ctb", email = "ngreifer@live.unc.edu"))
Maintainer: Jose R. Zubizarreta <zubizarreta@hcp.med.harvard.edu>
Depends: R (>= 3.2), Matrix, quadprog, slam
Imports: MASS, spatstat
Enhances: gurobi, Rcplex, Rmosek, pogs
License: GPL-2 | GPL-3
Description: Weights of minimum variance that approximately balance the empirical distribution of the observed covariates.
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2019-12-17 23:10:25 UTC; yige
Author: Jose R. Zubizarreta [aut, cre], Yige Li [aut], Amine Allouah [ctb], Noah Greifer [ctb]
Repository: CRAN
Date/Publication: 2019-12-30 15:20:02 UTC

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New package uavRst with initial version 0.5-4
Package: uavRst
Type: Package
Title: Unmanned Aerial Vehicle Remote Sensing Tools
Version: 0.5-4
Date: 2019-12-18
Authors@R: c(person("Chris", "Reudenbach", email = "reudenbach@uni-marburg.de", role = c("cre","aut")), person("Hanna", "Meyer", email = "hanna.meyer@uni-marburg.de", role = c("aut")), person("Florian", "Detsch", role = c("ctb")), person("Finn", "Möller", role = c("ctb")), person("Thomas", "Nauss", email = "nauss@uni-marburg.de", role = c("ctb")), person("Lars", "Opgenoorth", email = "opgenoorth@uni-marburg.de", role = c("ctb")), person("Environmental Informatics Marburg", role = c("ctb")) )
Encoding: UTF-8
Maintainer: Chris Reudenbach <reudenbach@uni-marburg.de>
Description: Support the analysis of drone derived imagery and point clouds as a cheap and easy to use alternative/complement to light detection and ranging data. It provides functionality to analyze poor quality digital aerial images as taken by low budget ready to fly drones. This includes supported machine learning based classification functions, comprehensive texture analysis, segmentation algorithms as well as forest relevant analyzes of metrics and measures on the derived products.
License: GPL (>= 3)
URL: https://github.com/gisma/uavRst/, https://gisma.github.io/uavRst/
BugReports: https://github.com/gisma/uavRst/issues/
Depends: R (>= 3.1.0)
Imports: raster, foreach
Suggests: knitr, stringr, sp, sf, htmlwidgets, htmltools, Rcpp, rgdal, rgeos, gdalUtils, tools, caret, zoo, data.table, parallel, spatial.tools, velox, link2GI, doParallel, CAST, glcm, crayon, ForestTools, itcSegment, pROC, methods, RSAGA, reshape2, rgrass7, randomForest, rLiDAR, rlas, lidR, rmarkdown, mapview, R.utils
LinkingTo: Rcpp
RoxygenNote: 7.0.2
SystemRequirements: GNU make
Collate: 'RcppExports.R' 'rs_textures.R' 'tb_bluedjinn.R' 'rs_pc_2D_mdtm.R' 'rs_lidr_makros.R' 'fa_treepos.R' 'tb_digitize.R' 'rs_classify.R' 'rs_pc_2D_dsm.R' 'rs_pc_2D_fdtm.R' 'fa_crownseg.R' 'fa_crownfilter.R' 'fa_crownmetrics.R' 'fa_diversity.R' 'rs_colorspace.R' 'uavRst-package.R'
NeedsCompilation: yes
Packaged: 2019-12-18 18:22:47 UTC; creu
Author: Chris Reudenbach [cre, aut], Hanna Meyer [aut], Florian Detsch [ctb], Finn Möller [ctb], Thomas Nauss [ctb], Lars Opgenoorth [ctb], Environmental Informatics Marburg [ctb]
Repository: CRAN
Date/Publication: 2019-12-30 14:50:03 UTC

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New package workflows with initial version 0.1.0
Package: workflows
Title: Modeling Workflows
Version: 0.1.0
Authors@R: c(person(given = "Davis", family = "Vaughan", role = c("aut", "cre"), email = "davis@rstudio.com"), person(given = "RStudio", role = "cph"))
Description: Managing both a 'parsnip' model and a preprocessor, such as a model formula or recipe from 'recipes', can often be challenging. The goal of 'workflows' is to streamline this process by bundling the model alongside the preprocessor, all within the same object.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/workflows
BugReports: https://github.com/tidymodels/workflows/issues
Depends: R (>= 3.2)
Imports: cli (>= 2.0.0), ellipsis (>= 0.2.0), generics, glue, hardhat, parsnip (>= 0.0.4), rlang (>= 0.4.1)
Suggests: covr, knitr, recipes, rmarkdown, testthat (>= 2.3.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2019-12-17 21:36:51 UTC; davis
Author: Davis Vaughan [aut, cre], RStudio [cph]
Maintainer: Davis Vaughan <davis@rstudio.com>
Repository: CRAN
Date/Publication: 2019-12-30 14:00:02 UTC

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New package fastmit with initial version 0.1.1
Package: fastmit
Type: Package
Title: Fast Mutual Information Based Independence Test
Version: 0.1.1
Authors@R: c( person("Shiyun", "Lin", , "linshy27@mail2.sysu.edu.cn", c("aut", "cre")), person("Jin", "Zhu", , "zhuj37@mail2.sysu.edu.cn", "aut"), person("Wenliang", "Pan", role = "aut"), person("Xueqin", "Wang", , "wangxq88@mail.sysu.edu.cn", role = "aut"), person("SC2S2", role = c("cph")) )
Description: A mutual information estimator based on k-nearest neighbor method proposed by A. Kraskov, et al. (2004) <doi:10.1103/PhysRevE.69.066138> to measure general dependence and the time complexity for our estimator is only squared to the sample size, which is faster than other statistics. Besides, an implementation of mutual information based independence test is provided for analyzing multivariate data in Euclidean space (T B. Berrett, et al. (2019) <doi:10.1093/biomet/asz024>); furthermore, we extend it to tackle datasets in metric spaces.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, stats
Suggests: testthat
NeedsCompilation: yes
Author: Shiyun Lin [aut, cre], Jin Zhu [aut], Wenliang Pan [aut], Xueqin Wang [aut], SC2S2 [cph]
Maintainer: Shiyun Lin <linshy27@mail2.sysu.edu.cn>
RoxygenNote: 6.1.1
Packaged: 2019-12-20 00:16:12 UTC; Arwen
Repository: CRAN
Date/Publication: 2019-12-30 14:00:07 UTC

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