extract_post_mean {lddmm}

Parameter posterior means

Description

Function to extract the posterior means of the parameters of interest from a lddmm fit object.

Usage

extract_post_mean(data, fit, par = c("drift", "boundary"))

Arguments

data

dataframe with the following columns:

• subject: vector of size n containing the participant labels

• block: vector of size n containing the training blocks (longitudinal units)

• s: vector of size n containing the stimuli

• d: vector of size n containing the decisions

• r_time: vector of size n containing the response times

• cens: vector of size n containing the censoring indicators (1 censored, 0 non censored)

fit

fit from the lddmm function

par

parameter to output ('drift', or 'boundary')

Value

Matrix with the following columns:

• subject: participant labels

• block: training blocks

• par_s_d, ...: posterior means for the requested parameters