confint.delta_med {manymome} | R Documentation |
Confidence Interval for Delta_Med in a 'delta_med'-Class Object
Description
Return the confidence
interval of the Delta_Med in the
output of delta_med()
.
Usage
## S3 method for class 'delta_med'
confint(object, parm, level = NULL, boot_type, ...)
Arguments
object |
The output of
|
parm |
Not used because only one parameter, the Delta_Med, is allowed. |
level |
The level of confidence,
default is |
boot_type |
If bootstrap
confidence interval is to be formed,
the type of bootstrap confidence
interval. The supported types
are |
... |
Optional arguments. Ignored. |
Details
It returns the nonparametric
bootstrap
percentile confidence interval of
Delta_Med, proposed byLiu, Yuan, and
Li (2023). The object must be the
output of delta_med()
, with
bootstrap confidence interval
requested when calling delta_med()
.
However, the level of confidence
can be different from that used when
call delta_med()
.
Value
A one-row matrix of the confidence
interval. All values are NA
if
bootstrap confidence interval was
not requested when calling
delta_med()
.
Author(s)
Shu Fai Cheung https://orcid.org/0000-0002-9871-9448
See Also
Examples
library(lavaan)
dat <- data_med
mod <-
"
m ~ x
y ~ m + x
"
fit <- sem(mod, dat)
# Call do_boot() to generate
# bootstrap estimates
# Use 2000 or even 5000 for R in real studies
# Set parallel to TRUE in real studies for faster bootstrapping
boot_out <- do_boot(fit,
R = 45,
seed = 879,
parallel = FALSE,
progress = FALSE)
# Remove 'progress = FALSE' in practice
dm_boot <- delta_med(x = "x",
y = "y",
m = "m",
fit = fit,
boot_out = boot_out,
progress = FALSE)
dm_boot
confint(dm_boot)