| MPL.control {ITRLearn} | R Documentation |
Parameters that control fitting of maximin projection learning.
MPL.control(pi.est = NULL, h.est = NULL, boot.sample = 600)
pi.est |
Estimated propentisy score for each patient. If not specified, a logistic regression model is fitted to estimate the propensity score. |
h.est |
Estimated baseline function for each patient. If not specified, a linear regression model is fitted to estimate the baseline function. |
boot.sample |
Number of bootstrap samples used for inference of the maximin effects and the subgroup parameter. Default is 600. |
A list with the arguments specified.