This repository contains R-code for running a simulation study on a Tardis Cluster and was developed as part of my work as a student assistant for Andreas Brandmaier in cooperation with Aaron Peikert at MPIB (Max-Planck Institute of Human Development) in Berlin, see https://github.com/aaronpeikert/maketest for the general idea developed by Aaron Peikert.
bnnlib is a R-package (under development as of Sept, 2020) by Andreas Brandmaier that allows the flexible creation of different neural network models in R. The above code requires a version of bnnlib in the project folder. See how to install bnnlib here: https://github.com/brandmaier/bnnlib
Update: bnnlib can now be installed and loaded via install.packages("bnnlib") and library(bnnlib).
One of the examples in the bnnlib vignettes aims at predicting different frequencies e.g. of some oscillating object (see frequencies.Rmd in bnnlib/vignettes/).
This example was extended here to test the influence of different number of layers and different number of cells per layer on training and test errors.