SL.Yman2016: SuperLearner wrapper for antibody acquisition models
In ben-arnold/tmleAb: Targeted maximum likelihood estimation for antibody measurements
Description
Usage
Arguments
Details
Value
See Also
Description
An internal SuperLearner wrapper for the antibody acquisition and loss model in Yman et al. 2016
Usage
1
SL.Yman2016(Y, X, newX = NULL, ...)
Arguments
Y
log quantitative antibody level
X
age
newX
(optional) new values of age over which to predict
...
other arguments passed to the function (currently ignored)
Details
The SL.Yman2016 wrapper enables the inclusion of this model in a SuperLearner ensemble. The model assumes that rates of antibody acquistion and loss are constant. It can only use information about age and not additional covariates. If X includes more than 1 column, then the function will assume that the first column of X is age and will throw a warning.
Value
pred Predicted outcome values
fit Maximum likelihood fit object returned from optim
See Also
ben-arnold/tmleAb documentation built on May 12, 2019, 10:55 a.m.
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Description Usage Arguments Details Value See Also
Description
An internal SuperLearner wrapper for the antibody acquisition and loss model in Yman et al. 2016
Usage
1 | SL.Yman2016(Y, X, newX = NULL, ...)
|
Arguments
Y |
log quantitative antibody level |
X |
age |
newX |
(optional) new values of age over which to predict |
... |
other arguments passed to the function (currently ignored) |
Details
The SL.Yman2016 wrapper enables the inclusion of this model in a SuperLearner ensemble. The model assumes that rates of antibody acquistion and loss are constant. It can only use information about age and not additional covariates. If X includes more than 1 column, then the function will assume that the first column of X is age and will throw a warning.
Value
pred Predicted outcome values
fit Maximum likelihood fit object returned from optim
See Also
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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