An R implementation of Group Method of Data Handling [1] inspired by [2]. The method can be used for solving regression tasks with numeric input and output variables by creating a high order polynomial.
You can install the package directly from github using devtools:
devtools::install_github("dratewka/rGMDH")
You can solve regression tasks as follows:
x <- cbind(runif(100), runif(100))
y <- 1 + x[,1]^2 + x[,1]*x[,2]
# Train the model
m <- rGMDH::train(x,y)
# Predict values
yh <- predict(m, x)
# Plot predictions vs actual values
plot(yh, y)
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