Parameter optimization of proto-ALCOVE model with shin92 CIRP
Uses shin92protoalcove to find best-fitting parameters for
the proto-ALCOVE model for the shin92 CIRP.
shin92protoalcove_opt(params = c(2,1,.25,.75), recompute = FALSE, trace = 0)
params |
A vector containing the initial values for c, phi, la,
and lw, in that order. See |
recompute |
When set to TRUE, the function re-runs the optimization (which takes about 10 minutes on a 2.4 GHz processor). When set to FALSE, the function returns a stored copy of the results of the optimization (which is instantaneous). |
trace |
Sets the level of tracing information (i.e. information
about the progress of the optimization), as defined by the
|
This function is an archive of the optimization procedure used to
derive the best-fitting parameters for the shin92protoalcove
simulation; see Spicer et al. (2017) for a tutorial introduction to
the concept of simulation archives.
Optimization used the L-BFGS-B method from the optim
function of the standard R stats package. The objective
function was sum of squared errors. Please inspect the source code for
further details (e.g. type shin92protoalcove_opt).
This function was run in 16 times from different starting points, using 8 threads on a Core i7 3.6 GHz processor. The default parameters of this function are those for the best fit from those 16 starting points. The 16 starting points were
pset <- rbind(
c(2,1,.25,.25),c(2,1,.25,.75),c(2,1,.75,.25),c(2,1,.75,.75),
c(2,3,.25,.25),c(2,3,.25,.05),c(2,3,.75,.25),c(2,3,.75,.75),
c(8,1,.25,.25),c(8,1,.25,.75),c(8,1,.75,.25),c(8,1,.75,.75),
c(8,3,.25,.25),c(8,3,.25,.75),c(8,3,.75,.25),c(8,3,.75,.75)
)
not all of which converged successfully.
A vector containing the best-fitting values for c, phi, la,
and lw, in that order. See slpALCOVE for an explanation
of these parameters.
Andy Wills
Spicer, S., Jones, P.M., Inkster, A.B., Edmunds, C.E.R. & Wills, A.J. (2017). Progress in learning theory through distributed collaboration: Concepts, tools, and examples. Manuscript in preparation.
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