plot_post_pars: Plot posterior estimates
In lddmm: Longitudinal Drift-Diffusion Mixed Models (LDDMM)
plot_post_pars R Documentation
Plot posterior estimates
Description
Posterior means and 90% credible intervals of the population-level drift or
boundary curves from an LDDMM() fit. Each panel is an input stimulus s;
colours are the decisions d.
Usage
plot_post_pars(data, fit, par = c("drift", "boundary"))
Arguments
data
the data frame used to fit the model (see LDDMM()).
fit
fit from the LDDMM() function
par
parameter to output ('drift', or 'boundary')
Value
A ggplot object.
lddmm documentation built on Oct. 23, 2026, 5:07 p.m.
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| plot_post_pars | R Documentation |
Plot posterior estimates
Description
Posterior means and 90% credible intervals of the population-level drift or
boundary curves from an LDDMM() fit. Each panel is an input stimulus s;
colours are the decisions d.
Usage
plot_post_pars(data, fit, par = c("drift", "boundary"))
Arguments
data |
the data frame used to fit the model (see |
fit |
fit from the |
par |
parameter to output ('drift', or 'boundary') |
Value
A ggplot object.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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