Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application
By Stephane Hess, D. Palma. Journal of Choice Modeling, 2019
831 citations recorded by the source corpus.
Abstract The community of choice modellers has expanded substantially over recent years, covering many disciplines and encompassing users with very different levels of econometric and computational skills. This paper presents an introduction to Apollo, a powerful new freeware package for R that aims to provide a comprehensive set of modelling tools for both new and experienced users. Apollo also incorporates numerous post-estimation tools, allows for both classical and Bayesian estimation, and permits advanced users to develop their own routines for new model structures.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/b964b4fa341fe90b798eeb62883cfb33c3d4ddfc
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Citations in the corpus
- Mode choice, substitution patterns and environmental impacts of shared and personal micro-mobility (2021, methodology): “…choice nature of panel data is recognized by Apollo and probabilities across individual choice observations for each individual are multiplied (Hess and Palma, 2019). iteratively (i.e., dropping insignificant and insubstantial variables) to obtain the most 275 parsimonious model possible that…”