zioprobit

zioprobit fits a model for an ordinal outcome with excess zeros, a higher fraction of zeros than would be expected from a standard ordered probit model, also known as zero inflation. This model is known as a zero-inflated ordered probit (ZIOP) model. In the context of ZIOP models, zero is an actual 0 value or the lowest outcome category. The ZIOP model accounts for the zero inflation by assuming that the zero-valued outcomes come from both a probit model and an ordered probit model, allowing potentially different sets of covariates for each model

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References in zbMATH (referenced in 1 article )

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  1. Nguyen K. Huynh, Sergio Bejar, Vineeta Yadav, Bumba Mukherjee: IDCeMPy: Python Package for Inflated Discrete Choice Models (2021) not zbMATH