bk2018_params: Default population parameters for the Bakk & Kuha (2018)...

In tseLCA: Three-Step Estimation for Latent Class Analysis

Default population parameters for the Bakk & Kuha (2018) simulation

Description

A list of pre-specified parameters used by generate_data() and related functions. All elements correspond to the values stated in the paper (Section 3, p. 879).

Usage

bk2018_params

Details

class_props

Length-3 vector of equal class proportions (1/3 each).

separation_levels

Named vector mapping "low", "mid", "high" to the probability of a "likely" response (0.70, 0.80, 0.90).

covariate_params

List with ⁠$b0⁠ (intercepts) and ⁠$b⁠ (slopes) for the multinomial logit P(X=t | Zp). Intercepts b02 and b03 are set so that marginal class sizes average to 1/3 when Zp ~ Uniform{1..5}.

distal_params

List with ⁠$mu⁠ (class means, c(-1, 1, 0)) and ⁠$sigma⁠ (residual SD = 1) for the distal outcome model.

Value

A named list with four elements:

class_props

Length-3 numeric vector of equal class proportions (1/3 each).

separation_levels

Named numeric vector mapping "low", "mid", "high" to 0.70, 0.80, 0.90.

covariate_params

List with $b0 (intercepts) and $b (slopes) for the multinomial logit P(X=t|Zp).

distal_params

List with $mu (class means) and $sigma (residual SD).

Examples

# True item-response probabilities for high separation
bk2018_params$rho_high

# Covariate model parameters (intercepts and slopes)
bk2018_params$covariate_params

# Distal outcome parameters
bk2018_params$distal_params

tseLCA documentation built on Nov. 11, 2026, 9:07 a.m.