As seen in the example file the first few lines of the contain single integer values.
8
2
9
2
These values are the number of adjustable parameters (8), the number of lines (2), the number of constants (includes adjustable parameters, 9) and the number of differential equations or compartments (2).
The next sequence of lines describes each of the adjustable parameters, one by one.
kel
2
0.200557
5.00000
0.00000
0.00000
0.00000
The data includes here is the parameter name (kel), the parameter type (2), the current value; input or best-fit (0.200557), upper limit (5.0), lower limit (0.0), mean population values (0.0) and population variance (0.0). The mean and variance are only used for Bayesian analysis.
All the model constants are described next.
kel
2
1
0
0
0
0
0.200557
The constant is define by name (kel), parameter type (2), the from value (1), the to value (0), the dependence value (0), the start index (0), the stop index (0) and the constant value (0.200557). Note this constant is an adjustable parameter and is included in the adjustable parameter section as well. The stop and start index values are only used after a time interrupt, lagtime (type 0) has been defined.
The interrelationship between these values can be complex but some simple editing of this file may be possible.