prepare_data_conj_suff_stats_infer_prior: Convert data into format for bulk updating with sufficient...

In kleinschmidt/beliefupdatr: Belief updating for phonetic adaptation

Description

For Stan models that are based on sufficient statistics for training data (count, mean, and sample standard deviation) instead of raw training observations.

Usage

prepare_data_conj_suff_stats_infer_prior(df, cue, category, response,
  condition, ranefs, test_df = df)

Arguments

df	Data frame with adaptation data
cue	(Quoted) name of columns in training and test which have the cue values.
category	(Quoted) name of column in training data with the correct category labels.
response	(Quoted) name of column in test data with responses
condition	(Quoted) name of column with group identifiers
ranefs	(Quoted) name of column(s) with random effect grouping variables (like subject IDs).
test_df	(optional) data frame with test data (all data is used as test by default).

Value

A list of data for 'conj_id_lapsing_sufficient_stats_fit.stan'.

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