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.
Confidence intervals and point estimation for R under various parametric model assumptions; likelihood inference based on classical first-order approximations and higher-order asymptotic procedures.
Version: | 1.1-0.1 |
Depends: | R (≥ 3.0-0), rootSolve |
Imports: | stats, graphics |
Published: | 2022-06-21 |
DOI: | 10.32614/CRAN.package.ProbYX |
Author: | Giuliana Cortese |
Maintainer: | Giuliana Cortese <gcortese at stat.unipd.it> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | ProbYX results |
Reference manual: | ProbYX.pdf |
Package source: | ProbYX_1.1-0.1.tar.gz |
Windows binaries: | r-devel: ProbYX_1.1-0.1.zip, r-release: ProbYX_1.1-0.1.zip, r-oldrel: ProbYX_1.1-0.1.zip |
macOS binaries: | r-release (arm64): ProbYX_1.1-0.1.tgz, r-oldrel (arm64): ProbYX_1.1-0.1.tgz, r-release (x86_64): ProbYX_1.1-0.1.tgz, r-oldrel (x86_64): ProbYX_1.1-0.1.tgz |
Old sources: | ProbYX archive |
Reverse depends: | auRoc |
Please use the canonical form https://CRAN.R-project.org/package=ProbYX 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.