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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.

Examples

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

# Covariate model parameters (intercepts and slopes)
bk2018_params$covariate_params
#> $b0
#> [1]  0.000000  2.344591 -3.655370
#> 
#> $b
#> [1]  0 -1  1
#> 

# Distal outcome parameters
bk2018_params$distal_params
#> $mu
#> [1] -1  1  0
#> 
#> $sigma
#> [1] 1
#>