uncfam_sampling: Kachergis 2012
In XSLmodels: Run and Optimize Cross-Situational Word Learning Models
View source: R/model-unfam_sampling.R
uncfam_sampling R Documentation
Kachergis 2012
Description
Kachergis et al. 2012 uncertainty- and familiarity-biased associative model
Usage
uncfam_sampling(X, B, C, K = 1)
Arguments
X
Associative weight to distribute
B
Weighting of uncertainty vs. familiarity
C
Decay
K
Number of associations to update per word (constraint: B <= X)
Value
An object of class xslMod
Examples
mod <- uncfam_sampling(X = .1, C = 1, B = .98, K = 1)
xsl_run(mod, get_example_ambiguous_condition())
XSLmodels documentation built on Oct. 18, 2026, 5:08 p.m.
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View source: R/model-unfam_sampling.R
| uncfam_sampling | R Documentation |
Kachergis 2012
Description
Kachergis et al. 2012 uncertainty- and familiarity-biased associative model
Usage
uncfam_sampling(X, B, C, K = 1)
Arguments
X |
Associative weight to distribute |
B |
Weighting of uncertainty vs. familiarity |
C |
Decay |
K |
Number of associations to update per word (constraint: B <= X) |
Value
An object of class xslMod
Examples
mod <- uncfam_sampling(X = .1, C = 1, B = .98, K = 1)
xsl_run(mod, get_example_ambiguous_condition())
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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