Update parameters of xslMod — update

Replaces some of xsl_mod's parameter values with params – e.g. a raw numeric vector such as DEoptim's bestmem. The result keeps xsl_mod's original parameter names.

Usage

update_params(xsl_mod, params, free = NULL)

Arguments

xsl_mod: Object of class xslMod
params: Vector or list of parameter values, in the same order as the leading elements of xsl_mod$params, or as free
free: Optional character vector of parameter names that params replaces, in order

Value

An object of class xslMod

Details

By default params replaces the leading parameters, matched by position (not by name): params may be shorter than xsl_mod$params, in which case only the first length(params) parameters are replaced. This is what lets xsl_fit() optimize a leading subset of a model's parameters (e.g. uncfam()'s numeric X/B/C but not its categorical variant).

With free, params instead replaces the named parameters, in the order given – so any subset can be fit while the rest stay fixed (e.g. rescorla_wagner()'s beta, C and lambda with alpha fixed at 1).

Examples

rw <- rescorla_wagner(C = .98, alpha = 1, beta = .5, lambda = 1)
update_params(rw, c(.2, .95, .8), free = c("beta", "C", "lambda"))$params
#> $C
#> [1] 0.95
#> 
#> $alpha
#> [1] 1
#> 
#> $beta
#> [1] 0.2
#> 
#> $lambda
#> [1] 0.8
#> 
#> $outcomes
#> [1] "present"
#> 
#> $cues
#> [1] "words"
#>