How do you estimate the scale parameter for a random parameter logit using mlogit in R -


i trying estimate random parameter logit/mixed logit model using mlogit package in r. model looks this,

wlsq.obese_conf.model <- mlogit(formula = choice ~ noadveff + tab + infreq_1 + weightloss + i(weightloss^2) + optout + cost| -1 | 0,                             data = mlogit.obese_conf,                             rpar = c(noadveff = 'n', tab = 'n', infreq_1 = 'n', weightloss = 'n', optout1 = "n"),                             r = 100,                             halton = na,                             print.level = 0,                             panel = true,                             estimate = true,                             weights = weighting.x )

i running same model on different subsample, , need compare scale parameters between 2 subsamples. however, have not been able identify method extracting parameter - know how can in mlogit?


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