Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application
Stephane Hess and
Journal of choice modelling, 2019, vol. 32, issue C, -
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.
Keywords: Apollo; Choice modelling; Estimation; Discrete continuous; Software (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:eejocm:v:32:y:2019:i:c:4
Access Statistics for this article
Journal of choice modelling is currently edited by S. Hess and J.M. Rose
More articles in Journal of choice modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().