qhat_mlogit {drpop} | R Documentation |
Estimate marginal and joint distribution of lists j and k using multinomial logistic model.
qhat_mlogit(List.train, List.test, K = 2, j = 1, k = 2, margin = 0.005, ...)
List.train |
The training data matrix used to estimate the distibution functions. |
List.test |
The data matrix on which the estimator function is applied. |
K |
The number of lists in the data. |
j |
The first list that is conditionally independent. |
k |
The second list that is conditionally independent. |
margin |
The minimum value the estimates can attain to bound them away from zero. |
... |
Any extra arguments passed into the function. |
A list of the marginal and joint distribution probabilities q1
, q2
and q12
.
Croissant Y (2020). Estimation of Random Utility Models in R: The mlogit Package. Journal of Statistical Software, 95(11), 1-41. doi: 10.18637/jss.v095.i11 (URL: https://doi.org/10.18637/jss.v095.i11).
Venables, W. N. & Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth Edition. Springer, New York. ISBN 0-387-95457-0
## Not run:
qhat = qhat_mlogit(List.train = List.train, List.test = List.test, margin = 0.005)
q1 = qhat$q1
q2 = qhat$q2
q12 = qhat$q12
## End(Not run)