confint.regmedint {regmedint} | R Documentation |
Confidence intervals for mediation prameter estimates.
Description
Construct Wald approximate confidence intervals for the quantities of interest.
Usage
## S3 method for class 'regmedint'
confint(
object,
parm = NULL,
level = 0.95,
a0 = NULL,
a1 = NULL,
m_cde = NULL,
c_cond = NULL,
...
)
Arguments
object |
An object of the |
parm |
For compatibility with generic. Ignored. |
level |
A numeric vector of length one. Requested confidence level. Defaults to 0.95. |
a0 |
A numeric vector of length 1 |
a1 |
A numeric vector of length 1 |
m_cde |
A numeric vector of length 1 The mediator value at which the controlled direct effect (CDE) conditional on the adjustment covariates is evaluated. If not provided, the default value supplied to the call to |
c_cond |
A numeric vector of the same length as |
... |
For compatibility with generic. |
Value
A numeric matrix of the lower limit and upper limit.
Examples
library(regmedint)
data(vv2015)
regmedint_obj <- regmedint(data = vv2015,
## Variables
yvar = "y",
avar = "x",
mvar = "m",
cvar = c("c"),
eventvar = "event",
## Values at which effects are evaluated
a0 = 0,
a1 = 1,
m_cde = 1,
c_cond = 0.5,
## Model types
mreg = "logistic",
yreg = "survAFT_weibull",
## Additional specification
interaction = TRUE,
casecontrol = FALSE)
confint(regmedint_obj)
## Evaluate at different values
confint(regmedint_obj, m_cde = 0, c_cond = 1)
## Change confidence level
confint(regmedint_obj, m_cde = 0, c_cond = 1, level = 0.99)