test_itr: Conduct hypothesis tests
In evalITR: Evaluating Individualized Treatment Rules
test_itr R Documentation
Conduct hypothesis tests
Description
Conduct hypothesis tests
Usage
test_itr(fit, nsim = 1000, centered = TRUE, ...)
Arguments
fit
Fitted model. Usually an output from estimate_itr
nsim
Number of Monte Carlo simulations used to simulate the null distributions. Default is 1000.
centered
Whether to center outcomes before testing.
...
Further arguments passed to the function.
Value
An object of test_itr class
evalITR documentation built on Sept. 7, 2026, 9:06 a.m.
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| test_itr | R Documentation |
Conduct hypothesis tests
Description
Conduct hypothesis tests
Usage
test_itr(fit, nsim = 1000, centered = TRUE, ...)
Arguments
fit |
Fitted model. Usually an output from |
nsim |
Number of Monte Carlo simulations used to simulate the null distributions. Default is 1000. |
centered |
Whether to center outcomes before testing. |
... |
Further arguments passed to the function. |
Value
An object of test_itr class
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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