BETA_TIME_PT = BETA_TIME_PT_REF * exp(BETA_TIME_PT_CL * CARLOVERS)
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condprob = models.logit(V,av,CHOICE)
On 4 Feb 2020, at 15:32, Maximiliano Lizana <maximilia...@ufrontera.cl> wrote:Hello,Following the question of Jay, in particular, for a simple estimation with one latent variable and three indicators considering the original pandas biogeme's examples nomenclature, the latest part of the specification would consider:condprob = models.logit(V,av,CHOICE)
condlike = P_Att1_1 * \
P_Att1_2 * \
P_Att1_3 * \
condprobloglike = log(Integrate(condlike * density,'omega'))biogeme = bio.BIOGEME(database,loglike)where P_att1_N are the probabilities of each indicator, V is the utility function, av represents the availability and CHOICE is the ElectionSo, If now I want to add a second latent variable with four indicators for example, how can I specify "condlike" and "loglike" sentences?
Any advice is welcome,Maximiliano.
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