LKT_HDI: LKT_HDI

In LKT: Logistic Knowledge Tracing

LKT_HDI

Description

Bootstrap credibility intervals to aid in interpreting coefficients.

Usage

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
)

Arguments

dat	Dataframe
n_boot	Number of subsamples to fit
n_students	Number of students per subsample
comps	Components in model
feats	Features in model
conns	R notation for linear equation connectors in model
ints	Interacts in model
fixeds	Fixed parameters in model
get_hdi	Boolean to decide if generating HDI per coefficient
cred_mass	Credibility mass parameter to decide width of HDI

Value

List of values "par_reps", "mod_full", "coef_hdi"

LKT documentation built on July 3, 2024, 5:11 p.m.