extract_post_draws: Parameter posterior draws

In lddmm: Longitudinal Drift-Diffusion Mixed Models (LDDMM)

Parameter posterior draws

Description

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

Usage

extract_post_draws(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

• draw: iteration of the MCMC estimates

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

lddmm documentation built on June 7, 2023, 5:28 p.m.