View source: R/08_regmedint_class_user_methods.R
confint.regmedint | R Documentation |
Construct Wald approximate confidence intervals for the quantities of interest.
## S3 method for class 'regmedint' confint( object, parm = NULL, level = 0.95, a0 = NULL, a1 = NULL, m_cde = NULL, c_cond = NULL, ... )
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. |
A numeric matrix of the lower limit and upper limit.
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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.