Model Responses from all compliers (actual + predicted) in experimental data using neural network.
neuralnet_response_model(
response.formula,
exp.data,
neuralnet.compliers,
compl.var,
algorithm = "rprop+",
hidden.layer = c(4, 2),
stepmax = 1e+08
)
trained response model object
formula for response variable and covariates (y ~ x)
data.frame
of experimental data.
data.frame
of compliers (actual + predicted)
from neuralnet_predict
.
string of compliance variable
neural network algorithm, default set to "rprop+"
.
vector specifying hidden layers and number of neurons.
maximum number of steps for training model.