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?
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
#>