Multiples outputs are required for Environmental Risk Assessment (ERA) as defined by Scientific Opinion of EFSA.
1 - Validation phase:
1.1 - Need to predict the number of survivors considering an initial number of individuals, and not only the survival rate. Then, prediction can be compared with data not used in the prediction phase.
1.2. - The % of observation within the intervals of prediction is required.
2 - Goodness-of-fit outputs:
2.1 - Function to compute NRMSE (Normalized root mean square error):
NRMSE = sum( (Yobs - Ypred)^2) / mean(Yobs)
2.2 - Function to compute SSPE (lack-of-fit sum of squares):
SSPE = (Yobs,t.end - Ypred,t.end) * 100 / Yinit
Multiples outputs are required for Environmental Risk Assessment (ERA) as defined by Scientific Opinion of EFSA.
1 - Validation phase: 1.1 - Need to predict the number of survivors considering an initial number of individuals, and not only the survival rate. Then, prediction can be compared with data not used in the prediction phase. 1.2. - The % of observation within the intervals of prediction is required.
2 - Goodness-of-fit outputs: 2.1 - Function to compute NRMSE (Normalized root mean square error): NRMSE = sum( (Yobs - Ypred)^2) / mean(Yobs) 2.2 - Function to compute SSPE (lack-of-fit sum of squares): SSPE = (Yobs,t.end - Ypred,t.end) * 100 / Yinit