CRAN/E | AZIAD

AZIAD

Analyzing Zero-Inflated and Zero-Altered Data

Installation

About

Computes maximum likelihood estimate of general, zero inflated, and zero altered models for discrete and continuous distributions. Computes Kolmogorov-Smirnov (KS) test and likelihood ratio test for general, zero-inflated, and zero-altered data. It obtains the inverse of fisher information matrix and confidence interval for the parameters of general, zero inflated, and zero altered models. It simulate random deviates from zero inflated or hurdle models to obtain maximum likelihood estimate. It is based on the work of Aldirawi et al. (2022) doi:10.1007/s42519-021-00230-y.

Key Metrics

Version 0.0.2
R ≥ 4.1.0
Published 2022-08-14 412 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Niloufar Dousti Mousavi

sdoust2@uic.edu

Authors

Niloufar Dousti Mousavi

aut / cre / cph

Hani Aldirawi

aut / cph

Jie Yang

aut / cph

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

AZIAD archive

Depends

R ≥ 4.1.0

Imports

extraDistr ≥ 1.9.1
methods ≥ 4.0.3
rootSolve ≥1.8.2.1
foreach ≥ 1.5.2
doParallel ≥ 1.0.16
parallel ≥ 4.1.2
QRM ≥ 0.3-31
dplyr ≥ 1.0.8
stats ≥ 4.1.2
rmutil ≥ 1.1.5
corpcor ≥ 1.6.10
MixAll ≥ 1.5.1
matrixcalc ≥ 1.0-5
lqmm ≥ 1.5.6
base ≥ 4.1.2
EnvStats ≥ 2.6.0