plot_post_pars: Plot posterior estimates

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

Plot posterior estimates

Description

Function to plot the posterior mean and credible intervals of the parameters of interest from a lddmm fit object.

Usage

plot_post_pars(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

Posterior mean and 95% CI

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