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Hurdle model for binomial data where zero counts are modeled separately from positive counts using a truncated binomial.

Usage

ratiod_hurdle_binomial(link_num = "logit", link_hurdle = "logit")

Arguments

Link function for the success probability: "logit" (default), "probit" or "cloglog".

Link function for the hurdle probability P(Y > 0): "logit" (default), "probit" or "cloglog".

Value

A ratiod_family object with hurdle structure

Examples

fam <- ratiod_hurdle_binomial()
print(fam)
#> tulpaRatio family: hurdle_binomial 
#> [Hurdle model]
#> Hurdle binomial numerator, fixed trials denominator 
#> 
#> Numerator:  binomial(logit)
#> Hurdle:     bernoulli(logit)
#> Denominator: fixed (fixed)