train_it: Generate Prediction Model
In CausalGPS: Matching on Generalized Propensity Scores with Continuous Exposures
train_it R Documentation
Generate Prediction Model
Description
Function to develop prediction model based on user's preferences.
Usage
train_it(target, input, sl_lib_internal = NULL, ...)
Arguments
target
A vector of target data.
input
A vector, matrix, or dataframe of input data.
sl_lib_internal
The internal library to be used by SuperLearner
...
Model related parameters should be provided.
Value
prediction model
CausalGPS documentation built on June 22, 2024, 9:31 a.m.
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.
| train_it | R Documentation |
Generate Prediction Model
Description
Function to develop prediction model based on user's preferences.
Usage
train_it(target, input, sl_lib_internal = NULL, ...)
Arguments
target |
A vector of target data. |
input |
A vector, matrix, or dataframe of input data. |
sl_lib_internal |
The internal library to be used by SuperLearner |
... |
Model related parameters should be provided. |
Value
prediction model
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.