The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Description: Computes maximum likelihood estimates of general, zero-inflated, and zero-altered models for discrete and continuous distributions. It also performs Kolmogorov-Smirnov (KS) tests and likelihood ratio tests for general, zero-inflated, and zero-altered data. Additionally, it obtains the inverse of the Fisher information matrix and confidence intervals for the parameters of general, zero-inflated, and zero-altered models. The package simulates random deviates from zero-inflated or hurdle models to obtain maximum likelihood estimates. Based on the work of Aldirawi et al. (2022) <doi:10.1007/s42519-021-00230-y> and Dousti Mousavi et al. (2023) <doi:10.1080/00949655.2023.2207020>.
Version: | 0.0.3 |
Depends: | R (≥ 4.1.0) |
Imports: | extraDistr (≥ 1.9.1), methods (≥ 4.0.3), foreach (≥ 1.5.2), doParallel (≥ 1.0.16), parallel (≥ 4.1.2), QRM (≥ 0.3-31), stats (≥ 4.1.2), corpcor (≥ 1.6.10), base (≥ 4.1.2), EnvStats (≥ 2.6.0) |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-05-01 |
DOI: | 10.32614/CRAN.package.AZIAD |
Author: | Niloufar Dousti Mousavi [aut, cre, cph], Hani Aldirawi [aut, cph], Jie Yang [aut, cph] |
Maintainer: | Niloufar Dousti Mousavi <niloufar.dousti at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
CRAN checks: | AZIAD results |
Reference manual: | AZIAD.pdf |
Package source: | AZIAD_0.0.3.tar.gz |
Windows binaries: | r-devel: AZIAD_0.0.3.zip, r-release: AZIAD_0.0.3.zip, r-oldrel: AZIAD_0.0.3.zip |
macOS binaries: | r-release (arm64): AZIAD_0.0.3.tgz, r-oldrel (arm64): AZIAD_0.0.3.tgz, r-release (x86_64): AZIAD_0.0.3.tgz, r-oldrel (x86_64): AZIAD_0.0.3.tgz |
Old sources: | AZIAD archive |
Please use the canonical form https://CRAN.R-project.org/package=AZIAD 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.