neuralnet_response_model: Modeling Responses from experimental data Using Deep NN

In DeepLearningCausal: Causal Inference with Super Learner and Deep Neural Networks

Modeling Responses from experimental data Using Deep NN

Description

Model Responses from all compliers (actual + predicted) in experimental data using neural network.

Usage

neuralnet_response_model(
  response.formula,
  exp.data,
  neuralnet.compliers,
  compl.var,
  algorithm = "rprop+",
  hidden.layer = c(4, 2),
  stepmax = 1e+08
)

Arguments

response.formula	formula for response variable and covariates (y ~ x)
exp.data	data.frame of experimental data.
neuralnet.compliers	data.frame of compliers (actual + predicted) from neuralnet_predict.
compl.var	string of compliance variable
algorithm	neural network algorithm, default set to "rprop+".
hidden.layer	vector specifying hidden layers and number of neurons.
stepmax	maximum number of steps for training model.

Value

trained response model object

DeepLearningCausal documentation built on Sept. 11, 2024, 8:40 p.m.