integrate_nonparametric: Nonparametric integration model for the missing S(1)
In sachsmc/pseval: Methods for Evaluating Principal Surrogates of Treatment Response
Description
Both S(1) and the BIP or set of BIPs must be categorical. This model integrates over the estimated distribution of S(1) | BIP
Usage
1
Arguments
formula
Formula specifying the integration model for the surrogate
under treatment. Generally the candidate surrogate will be on the left side
in the formula, and the BIP or BIPs will be on the right side. In this case
the BIP and the S(1) must be categorical.
...
Not currently used
sachsmc/pseval documentation built on May 29, 2019, 12:55 p.m.
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Description
Both S(1) and the BIP or set of BIPs must be categorical. This model integrates over the estimated distribution of S(1) | BIP
Usage
1 |
Arguments
formula |
Formula specifying the integration model for the surrogate under treatment. Generally the candidate surrogate will be on the left side in the formula, and the BIP or BIPs will be on the right side. In this case the BIP and the S(1) must be categorical. |
... |
Not currently used |
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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