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mixed lognormal hurdle model with multiple grouping factors

Voeten, C.C. 
Hi Guillaume,

If you're not afraid to go Bayesian, brms can do it. Alternatively, you may be able to use glmmTMB and treat the hurdle part as zero inflation, but this is conceptually not the same thing as a hurdle model so you would need to judge whether that would make sense at all for your application.

HTH,
Cesko

Op 18-12-2019 om 13:48 schreef Guillaume Adeux:

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Guillaume Adeux mixed lognormal hurdle model with multiple grouping factors Dec 18 Voeten, C.C. mixed lognormal hurdle model with multiple grouping factors Dec 18 Mollie Brooks mixed lognormal hurdle model with multiple grouping factors Dec 18 Dimitris Rizopoulos mixed lognormal hurdle model with multiple grouping factors Dec 19 Ben Bolker mixed lognormal hurdle model with multiple grouping factors Dec 20 Guillaume Adeux mixed lognormal hurdle model with multiple grouping factors Dec 20 Liming Wang mixed lognormal hurdle model with multiple grouping factors Dec 23 Dimitris Rizopoulos mixed lognormal hurdle model with multiple grouping factors Dec 23 Liming Wang mixed lognormal hurdle model with multiple grouping factors Dec 23 Daniel Fulop mixed lognormal hurdle model with multiple grouping factors Dec 23 Guillaume Adeux mixed lognormal hurdle model with multiple grouping factors Dec 24 Chen, Gang (NIH/NIMH) [E] mixed lognormal hurdle model with multiple grouping factors Dec 24