The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Statistical tests widely utilized in biostatistics, public policy, and law. Along with the well-known tests for equality of means and variances, randomness, and measures of relative variability, the package contains new robust tests of symmetry, omnibus and directional tests of normality, and their graphical counterparts such as robust QQ plot, robust trend tests for variances, etc. All implemented tests and methods are illustrated by simulations and real-life examples from legal statistics, economics, and biostatistics.
Version: | 3.6 |
Depends: | R (≥ 2.6.0) |
Imports: | Kendall, mvtnorm, Rdpack |
Suggests: | fBasics, tseries |
Published: | 2023-04-05 |
DOI: | 10.32614/CRAN.package.lawstat |
Author: | Joseph L. Gastwirth [aut], Yulia R. Gel [aut, cre], W. L. Wallace Hui [aut], Vyacheslav Lyubchich [aut], Weiwen Miao [aut], Kimihiro Noguchi [aut] |
Maintainer: | Yulia R. Gel <gel.yulia at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | lawstat results |
Reference manual: | lawstat.pdf |
Package source: | lawstat_3.6.tar.gz |
Windows binaries: | r-devel: lawstat_3.6.zip, r-release: lawstat_3.6.zip, r-oldrel: lawstat_3.6.zip |
macOS binaries: | r-release (arm64): lawstat_3.6.tgz, r-oldrel (arm64): lawstat_3.6.tgz, r-release (x86_64): lawstat_3.6.tgz, r-oldrel (x86_64): lawstat_3.6.tgz |
Old sources: | lawstat archive |
Reverse depends: | MMDvariance |
Reverse imports: | CondIndTests, diagL1, LoBrA, LSDsensitivity, RFPM |
Reverse suggests: | Deducer, RcmdrPlugin.EZR, superb |
Please use the canonical form https://CRAN.R-project.org/package=lawstat to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.