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First, thank you for your excellent work on PyLogit, it is immensely useful! This may already exist but is there a way in which to produce an equivalent of the Biogeme correlation of coefficients table? I am aware that the covariance matrix can be obtained in Pylogit by negating the hessian and then inverting, but is there a way in which to include the t-statistics and p-values?
Thanks!
The text was updated successfully, but these errors were encountered:
@benjamint17 : no worries, thanks for using the package!
As for the request, it can probably be added. Do you have any references or pointers to Biogeme code (hopefully in something more readable than C...) where the t-stats and p-values are calculated for the correlation of coefficients table? I'm looking for a formula or derivations I can rely on instead of having to re-derive the distributions.
Thanks for the rapid response! I don't have direct references to the Biogeme code, however, the equations for the t-statistics etc. are listed on page 13 of the attached Biogeme documentation. For example, equation 9 on page 13 yields the t-stat values given by Biogeme. Does that help?
First, thank you for your excellent work on PyLogit, it is immensely useful! This may already exist but is there a way in which to produce an equivalent of the Biogeme correlation of coefficients table? I am aware that the covariance matrix can be obtained in Pylogit by negating the hessian and then inverting, but is there a way in which to include the t-statistics and p-values?
Thanks!
The text was updated successfully, but these errors were encountered: