Obtain the confidence interval for the marginal mean or the contrast.
Usage
# S3 method for class 'prediction_cf'
confint(object, parm, level = 0.95, include_se = FALSE, ...)
# S3 method for class 'surv_effect'
confint(object, parm, level = 0.95, transform, ...)
# S3 method for class 'treatment_effect'
confint(object, parm, level = 0.95, transform, ...)
Arguments
- object
Object to construct confidence interval.
- parm
(
character
orinteger
) Names of the parameters to construct confidence interval.- level
(
numeric
) Confidence level.- include_se
(
flag
) Whether to include the standard error as a column in the result matrix.- ...
Not used.
- transform
(
function
) Transform function.
Examples
robin_res <- robin_glm(
y_b ~ treatment * s1,
data = glm_data, treatment = treatment ~ s1, contrast = "log_risk_ratio"
)
confint(robin_res$marginal_mean, level = 0.7)
#> Estimate 15 % 85 %
#> pbo 0.3660066 0.3309087 0.4011045
#> trt1 0.5809844 0.5446811 0.6172876
#> trt2 0.6101537 0.5744255 0.6458818
confint(robin_res$contrast, parm = 1:3, level = 0.9)
#> The confidence interval is transformed.
#> Estimate 5 % 95 %
#> trt1 v.s. pbo 1.587360 1.3240911 1.902975
#> trt2 v.s. pbo 1.667056 1.3951516 1.991954
#> trt2 v.s. trt1 1.050207 0.9169573 1.202820