• get_true_values() returns the true values of the freely estimated theta values in this order: $$\lambda$$ (loadings), $$\rho$$ (factor correlations), $$\tau$$ (thresholds).

• get_theoretical_uni_bi_moments() returns the univariate (pidot1) and bivariate (pidot2) theoretical probabilities of successes.

## Usage

get_true_values(model_no, arrange = c("lambda", "rho", "tau"))

get_theoretical_uni_bi_moments(model_no, collapse = FALSE)

## Arguments

model_no

(integer) Choose from 1--5. See pkgdown articles for details.

arrange

How should the true values be arranged? By default it is in the order of loadings, factor correlations, and thresholds.

collapse

(logical) Should a vector be returned instead of a list separating the univariate and bivariate quantities?

## Value

A vector of true parameter values used for the simulations.

gen_data_bin(), gen_data_bin_strat(), gen_data_bin_clust(), gen_data_bin_strcl(), gen_data_bin_srs()

## Examples

get_true_values(1)
#> lambda1 lambda2 lambda3 lambda4 lambda5    tau1    tau2    tau3    tau4    tau5
#>    0.80    0.70    0.47    0.38    0.34   -1.43   -0.55   -0.13   -0.72   -1.13
get_theoretical_uni_bi_moments(1)
#> $pidot1 #> [1] 0.9236415 0.7088403 0.5517168 0.7642375 0.8707619 #> #>$pidot2
#>  [1] 0.6874899 0.5311301 0.7213463 0.8143565 0.4368475 0.5714570 0.6356945
#>  [8] 0.4436331 0.4938743 0.6742887
#>