Confidence Intervals for a 'lav_betaselect'-Class Object
Source:R/confint_lav_betaselect.R
confint.lav_betaselect.RdReturn the confidence
intervals of betas-select in the
output of lav_betaselect().
Usage
# S3 method for class 'lav_betaselect'
confint(object, parm, level = 0.95, ...)Arguments
- object
The output of
lav_betaselect().- parm
Ignored due to the complexity in the naming. The confidence intervals of all parameters are always returned.
- level
The level of confidence. Ignored because the intervals should be formed when calling
lav_betaselect().- ...
Optional arguments. Ignored.
Details
The type of
confidence intervals depends
on the call to lav_betaselect().
This function does not recompute
the confidence interval.
Author
Shu Fai Cheung https://orcid.org/0000-0002-9871-9448
Examples
library(lavaan)
mod <-
"
med ~ iv + mod + iv:mod
dv ~ med + iv
"
fit <- sem(mod,
data_test_medmod,
fixed.x = TRUE)
summary(fit)
#> lavaan 0.6-19 ended normally after 3 iterations
#>
#> Estimator ML
#> Optimization method NLMINB
#> Number of model parameters 7
#>
#> Number of observations 200
#>
#> Model Test User Model:
#>
#> Test statistic 2.685
#> Degrees of freedom 2
#> P-value (Chi-square) 0.261
#>
#> Parameter Estimates:
#>
#> Standard errors Standard
#> Information Expected
#> Information saturated (h1) model Structured
#>
#> Regressions:
#> Estimate Std.Err z-value P(>|z|)
#> med ~
#> iv -6.339 0.997 -6.357 0.000
#> mod -3.903 0.622 -6.277 0.000
#> iv:mod 0.286 0.039 7.248 0.000
#> dv ~
#> med 0.093 0.011 8.298 0.000
#> iv 0.229 0.039 5.917 0.000
#>
#> Variances:
#> Estimate Std.Err z-value P(>|z|)
#> .med 61.851 6.185 10.000 0.000
#> .dv 2.104 0.210 10.000 0.000
#>
fit_beta <- lav_betaselect(fit,
to_standardize = c("iv", "dv"))
confint(fit_beta)
#> [,1] [,2]
#> med~iv NA NA
#> med~mod NA NA
#> med~iv:mod NA NA
#> dv~med NA NA
#> dv~iv NA NA
#> med~~med NA NA
#> dv~~dv NA NA
#> iv~~iv NA NA
#> iv~~mod NA NA
#> iv~~iv:mod NA NA
#> mod~~mod NA NA
#> mod~~iv:mod NA NA
#> iv:mod~~iv:mod NA NA