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It performs regression analysis for zero-inflated and zero-altered data, enabling modeling of sparse response variable distributions and assessing their association with covariates. It computes Maximum Likelihood Estimates (MLE) and conducts model selection using AIC and BIC criteria. Additionally, it calculates Fisher Information, confidence intervals, standard errors, and z-scores for all model parameters.
| Version: | 0.0.1 |
| Depends: | R (≥ 4.3.1.0) |
| Imports: | Matrix, extraDistr, stats |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2024-05-02 |
| Author: | Niloufar Dousti Mousavi [aut, cre, cph], Hani Aldirawi [aut, cph], Donald Hedeker [aut, cph], Jie Yang [aut, cph] |
| Maintainer: | Niloufar Dousti Mousavi <niloufar.dousti at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | RAZIAD results |
| Reference manual: | RAZIAD.pdf |
| Package source: | RAZIAD_0.0.1.tar.gz |
| Windows binaries: | r-devel: RAZIAD_0.0.1.zip, r-release: not available, r-oldrel: RAZIAD_0.0.1.zip |
| macOS binaries: | r-release (arm64): RAZIAD_0.0.1.tgz, r-oldrel (arm64): RAZIAD_0.0.1.tgz, r-release (x86_64): RAZIAD_0.0.1.tgz, r-oldrel (x86_64): RAZIAD_0.0.1.tgz |
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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.