uncfam: Kachergis 2012

In XSLmodels: Run and Optimize Cross-Situational Word Learning Models

Kachergis 2012

Description

Kachergis et al. 2012 uncertainty- and familiarity-biased associative model

Usage

uncfam(X, B, C, variant = c("entropy", "novelty", "uncertainty-only"))

Arguments

X	Associative weight to distribute
B	Weighting of uncertainty vs. familiarity
C	Decay
variant	Which variant of the model to fit (one of "entropy", "novelty", "uncertainty-only").

Value

An object of class xslMod

Examples

mod <- uncfam(X = .1, C = 1, B = .98)
xsl_run(mod, get_example_ambiguous_condition())

mod <- uncfam(X = .1, C = 1, B = .98, variant = "novelty")
xsl_run(mod, get_example_ambiguous_condition())

mod <- uncfam(X = .1, C = 1, B = 0) # familiarity-only
xsl_run(mod, get_example_ambiguous_condition())

mod <- uncfam(X = .1, C = 1, B = .98, variant = "uncertainty-only")
xsl_run(mod, get_example_ambiguous_condition())

XSLmodels documentation built on Oct. 18, 2026, 5:08 p.m.