' select the best model functionSource:
calculate_model is used to return the best model function that
represent the relationship between responses from study x and y.
calculate_model(x, y, select.MD = door_default_values("select.MD"))
- x, y
data vectors from study x and y (can contain NA)
logical, if TRUE, only the best model function (in terms of MD) will be returned.
calculate_model chooses the best model function from following: linear,
exponential function, sigmoid, asymptotic model with x intercept, asympototic
model with y intercept and their inverse versions. (If your are interested in
these functions please check the sources at
Shouwen Ma <[email protected]>
Daniel Münch <[email protected]>
# load a data set library(DoOR.data) data(Or35a) # pick 2 data sets for Or35a and rescale the data [0,1] x <- door_norm(Or35a[,6]) y <- door_norm(Or35a[,9]) # run calculate_model calM_xy <- calculate_model(x,y, select.MD = door_default_values("select.MD")) #> Warning: selfStart initializing functions should have a final '...' argument since R 4.1.0 #> Warning: selfStart initializing functions should have a final '...' argument since R 4.1.0