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Returns univariate and bivariate moments (i.e. positive probabilities only) based on model i.e. pidot1 and pidot2 and (weighted) sample i.e. pdot1 and pdot2.

Usage

get_uni_bi_moments(.lavobject, wtd = TRUE)

Arguments

.lavobject

A lavaan::lavaan() fit object.

wtd

(logical) Should the weighted proportions be used?

Value

A list of univariate and bivariate moments.

Examples

fit <- lavaan::sem(txt_mod(1), gen_data_bin(1, n = 500), std.lv = TRUE,
                   estimator = "PML")
#> Warning: lavaan->lav_lavaan_step15_baseline():  
#>    estimation of the baseline model failed.
get_uni_bi_moments(fit)
#> $pdot1
#> [1] 0.916 0.694 0.548 0.752 0.880
#> 
#> $pidot1
#> [1] 0.9159984 0.6940003 0.5480027 0.7520066 0.8799972
#> 
#> $pdot2
#>  [1] 0.672 0.518 0.714 0.818 0.418 0.574 0.628 0.434 0.494 0.680
#> 
#> $pidot2
#>  [1] 0.6716173 0.5183115 0.7148629 0.8173105 0.4159191 0.5732946 0.6318769
#>  [8] 0.4371332 0.4926238 0.6767766
#>