belief_update: Update beliefs from observations stored in a data frame

In kleinschmidt/beliefupdatr: Belief updating for phonetic adaptation

Description

Update beliefs from observations stored in a data frame

Usage

belief_update(d, cue, categories, beliefs)

Arguments

d	Data frame with cue values and categories
cue	Quoted name of column of data frame with cue values
categories	Quoted name of column with known category labels.
beliefs	Named list of starting belief NIX^2 parameters. Names must match unique values of d[[categories]]

Value

The input data frame with parameter values updated after each observation in the beliefs columns

See Also

belief_update_batch for batch belief updating, which is more efficient.

Examples

d <- data.frame(x = rnorm(100, 3),
                c = sample(c('a', 'b'), 100, replace=TRUE))
belief_update(d, 'x', 'c',
              list(a = nix2_params(0, 0, 10, 10),
                   b = nix2_params(0, 0, 10, 10)))

kleinschmidt/beliefupdatr documentation built on May 24, 2020, 8:26 p.m.