ApolloChoiceModelling
@ApolloChoice
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Apollo is a highly flexible free software package for estimating and applying choice models. Developed by @CmcLeeds
Joined April 2020
CMC course in choice modelling and survey design (20-24 November) - remember to book by 15 October to benefit from the early registration discount. Full details at
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RT @ApolloChoice: Two weeks left to apply for our 3 postdoctoral positions at the interface of choice modelling, machine learning and mathe….
jobs.leeds.ac.uk
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Two weeks left to apply for our 3 postdoctoral positions at the interface of choice modelling, machine learning and mathematical psychology (all for 3 years). Full details at
jobs.leeds.ac.uk
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RT @CmcLeeds: Interested in helping bridge the gaps between choice modelling, machine learning and mathematical psychology? Check out our….
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We have also substantially revised the manual ( with more details on examples and guides to functions.
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2. we have implemented the Fractional Multinomial Logit model (apollo_fmnl) which can be used for data where the choice variable is coded in shares (aggregate data) or where choices are not known with certainty.
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Alongside usual bug fixes and minor improvements, there are two key new feature in Apollo v0.2.7:. 1. the Delta method (apollo_deltaMethod) can now be used to compute standard errors for any user specified function, going beyond ratios, products, and sums.
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We are pleased to announce the release of Apollo v0.2.7. You can update your current version directly from CRAN by calling install.packages(“apollo”). We hope you enjoy the new version. The Apollo team.
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One week to go until the deadline. Don’t forget to submit your abstract for ICMC2022 and spread the word - all work in choice modelling is welcome.
Remember to submit your abstracts for the International Choice Modelling Conference, Reykjavik, Iceland, from 23 to 25 May 2022 - deadline for abstracts is coming up soon, 30 Nov.
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A good example of how complex new models can be coded from scratch in Apollo!.
A quantum leap instead of a small step into the unknown: our new work brings together choice modelling with quantum probability, allowing for greater flexibility and bigger departures from models of “rational” consumer behaviour. You can read the paper at
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Apollo wants you! We are developing exciting new features and need beta testers with existing Apollo expertise. What’s in it for you? Early access to cool features for using in your own work. Interested? Drop an e-mail to contact@apollochoicemodelling.com and we’ll be in touch.
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Apollo v.0.0.1 now released. With many new features, improved stability, an enhanced manual and a new online forum, there's never been a better time to start using Apollo for your choice models. Visit
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