Analyzing Zero-Inflated and Zero-Altered Data


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Documentation for package ‘AZIAD’ version 0.0.2

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FI.ZI Inverse Fisher Information matrix and confidence intervals of the parameters for general, continuous, and discrete zero-inflated or hurdle distributions.
kstest.A The Monte Carlo estimate for the p-value of a discrete KS Test based on zih.mle estimates.
kstest.B The Monte Carlo estimate for the p-value of a discrete KS test based on nested bootstrapped samples
lrt.A likelihood ratio test for two models based on kstest.A
new.mle Maximum likelihood estimate for general discrete and continuous distributions
ofp Number of physician office visits.
sample.h1 Generate random deviates from hurdle models
sample.zi1 Generate random deviates from zero-inflated
zih.mle Maximum likelihood estimate for Zero-Inflated or Zero-Altered discrete and continuous distributions.