qhat_rangerlogit {drpop} R Documentation

## Estimate marginal and joint distribution of lists j and k using ensemble of ranger and logit.

### Description

Estimate marginal and joint distribution of lists j and k using ensemble of ranger and logit.

### Usage

qhat_rangerlogit(
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

Marvin N. Wright, Andreas Ziegler (2017). ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R. Journal of Statistical Software, 77(1), 1-17. doi:10.18637/jss.v077.i01

Polley, Eric C. and van der Laan, Mark J., (May 2010) Super Learner In Prediction. U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 266. https://biostats.bepress.com/ucbbiostat/paper266

### Examples

## Not run:
qhat = qhat_ranger(List.train = List.train, List.test = List.test, margin = 0.005)
q1 = qhat$q1 q2 = qhat$q2
q12 = qhat\$q12

## End(Not run)


[Package drpop version 0.0.3 Index]