qhat_mlogit: Estimate marginal and joint distribution of lists j and k...

In mqnjqrid/crctmle: Efficient and Doubly Robust Population Size Estimation

Estimate marginal and joint distribution of lists j and k using multinomial logistic model.

Description

Estimate marginal and joint distribution of lists j and k using multinomial logistic model.

Usage

qhat_mlogit(List.train, List.test, K = 2, j = 1, k = 2, margin = 0.005, ...)

Arguments

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.

Value

A list of the marginal and joint distribution probabilities q1, q2 and q12.

References

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

Examples

## 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)

mqnjqrid/crctmle documentation built on June 3, 2022, 9:38 p.m.