tlpl_predict: Produces simulations of data based on a current tlpl filtered...
In jarad/tlpl: Tau-leaped particle learning
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Produces simulations of data based on a current tlpl filtered distribution
Usage
1
tlpl_predict(sckm, n, tlpl, engine = "C", verbose)
Arguments
sckm
a list defining a stochastic chemical kinetic model
n
an integer determining how many forward points to simulate
tlpl
a list defining a filtered distribution
engine
use 'R' or 'C' code
verbose
level of verbosity curing calculations
Value
list defining the states and the number of transitions
Author(s)
Jarad Niemi niemi@iastate.edu
See Also
jarad/tlpl documentation built on May 18, 2019, 3:46 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
Produces simulations of data based on a current tlpl filtered distribution
Usage
1 | tlpl_predict(sckm, n, tlpl, engine = "C", verbose)
|
Arguments
sckm |
a list defining a stochastic chemical kinetic model |
n |
an integer determining how many forward points to simulate |
tlpl |
a list defining a filtered distribution |
engine |
use 'R' or 'C' code |
verbose |
level of verbosity curing calculations |
Value
list defining the states and the number of transitions
Author(s)
Jarad Niemi niemi@iastate.edu
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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