View source: R/model_generator.R
constructing Model Object
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | model_generator(
stype,
ti_num,
prior.theta,
prior.W,
data.para,
W.factor,
depletion.factor,
depletion.factor.wt,
init.ODE,
E_num,
method.wt,
stimulation.value,
stimulation.value.wt,
tstep
)
|
stype |
name of motif : "Diamond","Bifan","FeedForward","FeedBackward","ProteinCascade" |
ti_num |
number of time points |
prior.theta |
prior over observations and hidden nodes connections |
prior.W |
prior over W |
data.para |
list of parameter for data simulation: mu, sd, location, scale shape |
W.factor |
W=1 * W.factor |
depletion.factor |
diag of W |
depletion.factor.wt |
diag of W in WT |
init.ODE |
initial value of ODE |
E_num |
number of observations |
method.wt |
method for WildType state calculation: steadyState or timeSeries |
stimulation.value |
constant value for stimulation function |
stimulation.value.wt |
constant value for stimulation function in WildType case |
tstep |
time step length |
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