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Objects of ProbabilityModel class store information on the assumed probability distribution for the model

Arguments

error_is_non_normal

Default: the observed variable is continuous Categorical response variable will be implemented in the future. TRUE: Categorical , FALSE: Continuous (default).

family_p

The type of distribution family to specify when the response is categorical. If family is "binary" then binary(link="log") is used, if family is "poisson" then poisson(link="logit") is used, if family is "poisson_log" then poisson(link=") log") is used.

Value

an object of class ProbabilityModel

Examples

model=new("ProbabilityModel")