SL.HAL1: HAL1
In lmmontoya/SL.ODTR: SuperLearner Estimation and Evaluation of ODTR
SL.HAL1 R Documentation
HAL1
Description
HAL1
Usage
SL.HAL1(
Y,
X,
newX = NULL,
max_degree = 1,
fit_type = c("glmnet", "lassi"),
n_folds = 10,
use_min = TRUE,
family,
obsWeights = rep(1, length(Y)),
...
)
Arguments
Y
outcome
X
predictors
newX
new X
family
family
obsWeights
obsWeights
...
other
SL.library
SL library
model
model
Value
SL.HAL1
lmmontoya/SL.ODTR documentation built on Feb. 24, 2024, 10:46 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| SL.HAL1 | R Documentation |
HAL1
Description
HAL1
Usage
SL.HAL1(
Y,
X,
newX = NULL,
max_degree = 1,
fit_type = c("glmnet", "lassi"),
n_folds = 10,
use_min = TRUE,
family,
obsWeights = rep(1, length(Y)),
...
)
Arguments
Y |
outcome |
X |
predictors |
newX |
new X |
family |
family |
obsWeights |
obsWeights |
... |
other |
SL.library |
SL library |
model |
model |
Value
SL.HAL1
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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