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Estimation of bivariate probit models by maximum likelihood
bivprobit( formula, data, weights, subset, na.action, offset, method = c("newton", "bfgs"), ... )# S3 method for bivprobit logLik(object, ..., type = c("model", "null"))
# S3 method for bivprobit logLik(object, ..., type = c("model", "null"))
an object of class micsr, see micsr::micsr for further details
micsr
micsr::micsr
a symbolic description of the model, a two-part left and right hand side formula
a data frame,
see stats::lm,
stats::lm
the optimization method, one of "newton" and "bfgs"
"newton"
"bfgs"
further arguments
a bivprobit object
bivprobit
for the logLik method
logLik
bivprobit(mjob | fjob ~ meduc + ychild + owner | feduc + ychild + owner , housprod)
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