extract_post_mean: Parameter posterior means
In lddmm: Longitudinal Drift-Diffusion Mixed Models (LDDMM)
extract_post_mean R Documentation
Parameter posterior means
Description
Posterior means of the subject-level drift or boundary parameters of the
correct responses (d = s) from an LDDMM() fit.
Usage
extract_post_mean(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
Data frame with columns block, subject and one column
<par>_<s>_<s> per stimulus with the posterior means.
lddmm documentation built on Oct. 23, 2026, 5:07 p.m.
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| extract_post_mean | R Documentation |
Parameter posterior means
Description
Posterior means of the subject-level drift or boundary parameters of the
correct responses (d = s) from an LDDMM() fit.
Usage
extract_post_mean(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
Data frame with columns block, subject and one column
<par>_<s>_<s> per stimulus with the posterior means.
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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