Hess, S orcid.org/0000-0002-3650-2518 and Palma, D (2019) Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application. Journal of Choice Modelling, 32 (100170). 100170. ISSN 1755-5345
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Journal of Choice Modelling. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Apollo; Choice modelling; Estimation; Discrete continuous; Software |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Choice Modelling |
Funding Information: | Funder Grant number EU - European Union 615596 |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Aug 2019 11:21 |
Last Modified: | 04 Dec 2020 01:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jocm.2019.100170 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149596 |