Description Usage Arguments Value References Examples
View source: R/qhat_estimation_functions.R
Estimate marginal and joint distribution of lists j and k using generalized additive models.
1 |
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
.
Trevor Hastie (2020). gam: Generalized Additive Models. R package version 1.20. https://CRAN.R-project.org/package=gam
1 2 3 4 5 6 7 | ## Not run:
qhat = qhat_gam(List.train = List.train, List.test = List.test, margin = 0.005)
q1 = qhat$q1
q2 = qhat$q2
q12 = qhat$q12
## End(Not run)
|
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