predict.submod_train {StratifiedMedicine} | R Documentation |
Subgroup Identification: Train Model (Predictions)
Description
Prediction function for the trained subgroup identification model (submod).
Usage
## S3 method for class 'submod_train'
predict(object, newdata = NULL, ...)
Arguments
object |
Trained submod model. |
newdata |
Data-set to make predictions at (Default=NULL, predictions correspond to training data). |
... |
Any additional parameters, not currently passed through. |
Value
Identified subgroups with subgroup-specific predictions (depends on subgroup model)
Subgrps - Identified subgroups
pred - Predictions, depends on subgroup model
Examples
library(StratifiedMedicine)
## Continuous ##
dat_ctns = generate_subgrp_data(family="gaussian")
Y = dat_ctns$Y
X = dat_ctns$X
A = dat_ctns$A
# Fit through submod_train wrapper #
mod1 = submod_train(Y=Y, A=A, X=X, Xtest=X, submod="submod_lmtree")
out1 = predict(mod1)
table(mod1$Subgrps.train)
table(out1$Subgrps)
[Package StratifiedMedicine version 1.0.5 Index]