View source: R/summary.multisimsum.R
summary.multisimsum | R Documentation |
The summary()
method for objects of class multisimsum
returns confidence intervals for performance measures based on Monte Carlo standard errors.
## S3 method for class 'multisimsum'
summary(object, ci_level = 0.95, df = NULL, stats = NULL, ...)
object |
An object of class |
ci_level |
Significance level for confidence intervals based on Monte Carlo standard errors. Ignored if a |
df |
Degrees of freedom of a t distribution that will be used to calculate confidence intervals based on Monte Carlo standard errors.
If |
stats |
Summary statistics to include; can be a scalar value or a vector (for multiple summary statistics at once). Possible choices are:
|
... |
Ignored. |
An object of class summary.multisimsum
.
multisimsum()
, print.summary.multisimsum()
data(frailty)
ms <- multisimsum(
data = frailty, par = "par", true = c(
trt = -0.50,
fv = 0.75
), estvarname = "b", se = "se", methodvar = "model",
by = "fv_dist"
)
sms <- summary(ms)
sms
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