R-devtools - Tools to make developing R packages easier

Property Value
Distribution NetBSD 8.1
Repository NetBSD i386
Package filename R-devtools-2.1.0.tgz
Package name R-devtools
Package version 2.1.0
Package release -
Package architecture i386
Package type tgz
Category R devel math
Homepage https://CRAN.R-project.org/package=devtools
License gnu-gpl-v2 OR gnu-gpl-v3
Maintainer -
Download size 304.87 KB
Installed size 415.44 KB
Collection of package development tools.


Package Version Architecture Repository
R-devtools-2.1.0.tgz 2.1.0 amd64 NetBSD
R-devtools - - -


Name Value
R >= 2.2.1nb2
R-callr >= 3.3.1
R-cli >= 1.1.0
R-digest >= 0.6.20
R-git2r >= 0.23.0
R-httr >= 0.4
R-jsonlite >= 1.6
R-memoise >= 1.0.0
R-pkgbuild >= 1.0.3
R-pkgload >= 1.0.2
R-rcmdcheck >= 1.3.3
R-remotes >= 2.1.0
R-roxygen2 >= 6.1.1
R-rstudioapi >= 0.7
R-sessioninfo >= 1.1.1
R-testthat >= 2.1.1
R-usethis >= 1.5.0
R-withr >= 2.1.2


Type URL
Mirror ftp.netbsd.org
Binary Package R-devtools-2.1.0.tgz
Source Package R-devtools

Install Howto

Install R-devtools tgz package:

# pkg_add R-devtools

See Also

Package Description
R-dichromat-2.0.0.tgz Color schemes for dichromats
R-digest-0.6.20.tgz Create compact hash digests of R objects
R-dplyr-0.8.3.tgz Grammar of data manipulation
R-e1071-1.7.2.tgz Misc Functions of the Department of Statistics (e1071), TU Wien
R-effects-4.1.1.tgz Effect displays for linear, generalized linear, and other models
R-ellipsis- Tools for working with
R-emdbook-1.3.11.tgz Support functions and data for "Ecological Models and Data"
R-energy-1.7.6.tgz E-statistics: multivariate inference via the energy of data
R-estimability-1.3.tgz Tools for assessing estimability of linear predictions
R-evaluate-0.14.tgz Parsing and evaluation tools
R-fAsianOptions-3042.82.tgz Functions for pricing and valuating Asian options
R-fBasics-3042.89.tgz Markets and basic statistics
R-fOptions-3042.86.tgz Markets and basic statistics
R-fansi-0.4.0.tgz ANSI Control Sequence Aware String Functions
R-forcats-0.4.0.tgz Tools for working with categorical variables (factors)