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
.
Arguments
- .lavobject
A
lavaan::lavaan()
fit object.- wtd
(logical) Should the weighted proportions be used?
Examples
fit <- lavaan::sem(txt_mod(1), gen_data_bin(1, n = 500), std.lv = TRUE,
estimator = "PML")
#> Warning: lavaan->lav_object_post_check():
#> some estimated ov variances are negative
get_uni_bi_moments(fit)
#> $pdot1
#> [1] 0.920 0.712 0.562 0.786 0.860
#>
#> $pidot1
#> [1] 0.9199913 0.7120347 0.5620351 0.7859767 0.8599871
#>
#> $pdot2
#> [1] 0.696 0.536 0.742 0.810 0.436 0.582 0.630 0.450 0.498 0.686
#>
#> $pidot2
#> [1] 0.6960956 0.5380370 0.7406908 0.8090064 0.4307265 0.5823818 0.6335411
#> [8] 0.4551140 0.4955261 0.6850943
#>