Bootstrap credibility intervals to aid in interpreting coefficients.
LKT_HDI(
dat,
n_boot,
n_students,
comps,
feats,
conns = rep("+", max(1, length(comps) - 1)),
ints = NA,
fixeds,
get_hdi = TRUE,
cred_mass = 0.95
)List of values "par_reps", "mod_full", "coef_hdi"
Dataframe
Number of subsamples to fit
Number of students per subsample
Components in model
Features in model
R notation for linear equation connectors in model
Interacts in model
Fixed parameters in model
Boolean to decide if generating HDI per coefficient
Credibility mass parameter to decide width of HDI