plotModelAccuracy: Plot heatmaps of the model simulation against the data...
In molsysbio/STASNet: Fit and Simulate Model from Perturbation Data

Plot heatmaps of the model simulation against the data weighted by the error, as well as the log fold change for the data and the prediction

1 2	plotModelAccuracy(model_description, limit = Inf, show_values = TRUE, graphs = c("accuracy", "diff", "data", "simulation", "prediction"))

`model_description`	An MRAmodel object
`limit`	An integer to force the limit of the heatmaps
`show_values`	Whether the values should be printed in the heatmap boxes or not.
`graphs`	Define which graphs should be plotted. "accuracy" for the residual as seen by the model, "diff" for the delta log data-simulation, "data" for the log-fold change computed from the data, "simulation" for the log-fold change simulated by the model, "prediction" for the log-fold change that would be predicted without the blank correction.