Apollo is a pioneering brand at the forefront of choice modeling, built on years of dedicated development in the field. Originating from foundational code crafted by Stephane Hess and later evolved at the University of Leeds with contributions from David Palma, Apollo offers a robust and comprehensive range of products designed for both novice and expert users in the realm of econometrics.

The Apollo package provides transparent and accessible functionalities, allowing users to engage with complex modeling without the need for deep specialized knowledge. Its modular architecture facilitates the estimation of a variety of models, from simple multinomial logit to sophisticated frameworks that utilize random coefficients. With features that include classical and Bayesian estimation techniques, multi-threading capabilities, and a selection of pre and post-estimation tools, Apollo ensures a seamless analytical experience.

Innovative offerings, such as the incorporation of Decision Field Theory (DFT) models, further set Apollo apart, making it a versatile choice for researchers and practitioners alike seeking advanced data analysis in decision-making processes.