View source: R/TMLE_updaters.R
Performs an SDR update using GBM from xgboost package with parameter max_delta_step=1.
This function is passed along as a separate learner
to the SuperLearner implementation of origami package
Performs an SDR update using GBM from xgboost package with parameter max_delta_step=2.
This function is passed along as a separate learner
to the SuperLearner implementation of origami package
Performs an SDR update using GBM from xgboost package with parameter max_delta_step=3.
This function is passed along as a separate learner
to the SuperLearner implementation of origami package
Performs an SDR update using GBM from xgboost package with parameter max_delta_step=4.
This function is passed along as a separate learner
to the SuperLearner implementation of origami package
General GBM learner from xgboost package.
This function is passed along as a separate learner
to the SuperLearner implementation of origami package
1 2 3 4 5 6 7 8 9 10 11 12  | iTMLE.updater.xgb.delta1(Y, X, newX, family, obsWeights, params, ...)
iTMLE.updater.xgb.delta2(Y, X, newX, family, obsWeights, params, ...)
iTMLE.updater.xgb.delta3(Y, X, newX, family, obsWeights, params, ...)
iTMLE.updater.xgb.delta4(Y, X, newX, family, obsWeights, params, ...)
iTMLE.updater.xgb(Y, X, newX, family, obsWeights, params, ...)
## S3 method for class 'iTMLE.updater.xgb'
predict(object, newdata, offset, ...)
 | 
Y | 
 Input outcomes  | 
X | 
 Input design matrix with training data. Must contain a column named "offset", which contains the offsets converted to logit-linear scale.  | 
newX | 
 Input design matrix with test data.
Same requirement as for   | 
family | 
 Link function (ignored).  | 
obsWeights | 
 Row-specific weights  | 
params | 
 Tuning parameters passed on to   | 
... | 
 Additional arguments to be passed on to   | 
object | 
 Results of calling   | 
newdata | 
 Design matrix with test data for which predictions should be obtained. May contain a column named "offset", instead of it being passed as a separate argument.  | 
offset | 
 Offset (on logit scale if using logistic regression update).  | 
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