Bayesian decay model

Usage

bayesian_decay(alpha, delta, ch_dec)

Arguments

alpha: Decay for word/object non-co-occurrence (0.1, 0.5, 0.9)
delta: Multiplier for word/object co-occurrence (1 for no increase)
ch_dec: Decision parameter (e.g., 1)

Value

An object of class xslMod

Examples

mod <- bayesian_decay(alpha = 0.5, delta = 1, ch_dec = 1)
xsl_run(mod, get_example_ambiguous_condition())
#> $fits
#> $fits[[1]]
#> $fits[[1]]$sims
#> NULL
#> 
#> $fits[[1]]$responses
#>      [,1] [,2] [,3] [,4]
#> [1,]  0.4  0.4  0.4  0.4
#> 
#> $fits[[1]]$perf
#>   1   2   3   4 
#> 0.4 0.4 0.4 0.4 
#> 
#> $fits[[1]]$matrix
#>     1   2   3   4
#> 1 0.4 0.4 0.1 0.1
#> 2 0.4 0.4 0.1 0.1
#> 3 0.1 0.1 0.4 0.4
#> 4 0.1 0.1 0.4 0.4
#> 
#> $fits[[1]]$sse
#> [1] 0.04
#> 
#> $fits[[1]]$data
#> xslData object with label "example condition" and condition "ambiguous"
#>   training trials: 2
#>       test trials: 0
#>             words: 4
#>           objects: 4
#>        accuracies: 4
#> 
#> 
#> 
#> $sse
#> [1] 0.04
#> 
#> $unweighted_sse
#> [1] 0.04
#>