belief_update_batch: Update beliefs in a data frame in batches
In kleinschmidt/beliefupdatr: Belief updating for phonetic adaptation

Description Usage Arguments Value See Also Examples

Update beliefs in a data frame in batches

1	belief_update_batch(d, cue, categories, trials, at, beliefs)

`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.
`trials`	Quoted name of column with trial numbers to define batches
`at`	Trial numbers to get updated beliefs
`beliefs`	Named list of starting belief NIX^2 parameters. Names must match unique values of `d[[categories]]`

A data_frame with updated NIX2 parameters in beliefs for the values of d[[trials]] from at. d$beliefs is a list column where each element is a named list of category belief parameters

belief_update for fully incremental, observation-by-observation belief updating.

d <- data.frame(x = rnorm(100, 3),
                c = sample(c('a', 'b'), 100, replace=TRUE),
                trial = 1:100)
belief_update_batch(d, 'x', 'c', 'trial', seq(10, 100, by=10),
                    list(a = nix2_params(0, 0, 10, 10),
                         b = nix2_params(0, 0, 10, 10)))