Fitting Heterogeneous Choice Models with Oglm

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Urbanisation and Food Insecurity Risks: Assessing the Role of Human Development (2016, background): “Because this assumption was not met, following Williams (2009, 2010), the final choice of the modelling strategy was of heterogeneous choice models.”
Understanding and interpreting generalized ordered logit models (2016, background): “For example, Williams (2010) gives an example where the simple addition of a squared term to a model is both theoretically reasonable and leads to tests showing that assumptions of the model are met.”
Factors and conditions promoting academic resilience: a TIMSS-based analysis of five Asian education systems (2016, background): “3 Details for the specification and estimation of the heterogeneous choice models are explained in detail by Williams (2010).”
Ordinal regression: A review and a taxonomy of models (2021, methodology): “The location-scale model can be estimated by using the function clm from the R package ordinal (Christensen, 2015), the Stata function oglm (Williams, 2010) or PROC NLIN when working with SAS.”