gfit | global analysis of experimental data

attribute name	accepted values (default shown bold)	applies to variable type	comment
name	word	all	should be valid Java and Matlab name
unit	string	all	unit of measurement
comment	string	all
type	independent	all	variable cannot be estimated, will not form parameters and should be present in the experimental data
	para		variable will always form parameters; experimental values will be used as starting values
	free		treat as independent if present in dataset; treat as parameter otherwise
	dependent		variable is simulated by the model and measured in experiment
	index		single integer values that change properties of the model e.g. number of species, number of number of steps in reaction, etc.
plotLog	bool	all except index	plot variable on log scale
size	`dimension1` [`dimension2`] ... each dimension can have following formats:	all except index	size of the variable array in every dimension can be constrained independently
	`size`		fixed size
	`minSize` `maxSize` [/`factor`] [+`remainder`]		bound constraints
	`variableName` [`dimension`] [/`divider`] [*`multiplier`] [+`addend`]		linear relationship to variable dimension
	`indexName` [/`divider`] [*`multiplier`] [+`addend`]		linear relationship to index
order	`ascend`	independent or para	strictly ascending values
	`ascendEq`		ascending or equal
	`unsorted`		no sorting required
	`descendEq`		descending or equal
	`descend`		descending
optimize	bool	para	default optimization flag
linkExpts	bool	para	by default, keep parameters from different experiments equal
linkElmnts	bool	para	by default, keep parameters for different elements equal
minVal	-Inf, float	independent, para, index	lower bound value, inclusive
maxVal	Inf, float	independent, para, index	upper bound value, inclusive
startVal	float	independent, para, index	default current value
arguments	`variableName1` [`variableName2`] ... all independent variables	dependent	variables required for simulating this dependent variable
plotVs	`variableName1` ... , 0,1,2,3,... index	dependent	plot dependent variable as a function of these variables
dataType	double, int	independent
weight	double	dependent	default statistical weight for all experimental values of this type

Variable attributes