Distribution families for handling excess zeros in count data. Zero-inflation occurs when there are more zeros than expected under the standard count distribution.
Two model types are available:
Zero-inflated (ZI): Mixture of point mass at zero and count distribution
Hurdle: Separate processes for zero vs positive counts
Usage
# S3 method for class 'ratiod_family_zi'
print(x, ...)Examples
ratiod_zipois()
#> tulpaRatio family: zipois_gamma
#> [Zero-inflated model]
#> Zero-inflated Poisson numerator, Gamma denominator
#>
#> Numerator: poisson(log)
#> ZI prob: bernoulli(logit)
#> Denominator: gamma (log)
ratiod_hurdle_negbin()
#> tulpaRatio family: hurdle_negbin_negbin
#> [Hurdle model]
#> Hurdle negative binomial numerator, negative binomial denominator
#>
#> Numerator: neg_binomial_2(log)
#> Hurdle: bernoulli(logit)
#> Denominator: neg_binomial_2 (log)