binary_prob_success: Calculate the binary probability of success.

In trialr: Clinical Trial Designs in 'rstan'

Calculate the binary probability of success.

Description

Calculate the binary probability of success.

Calculate the binary probability of success from an augbin_2t_1a_fit object.

Usage

binary_prob_success(x, ...)

## S3 method for class 'augbin_2t_1a_fit'
binary_prob_success(
  x,
  y1_lower = -Inf,
  y1_upper = Inf,
  y2_lower = -Inf,
  y2_upper = log(0.7),
  conf.level = 0.95,
  ...
)

Arguments

x	an R object of class "augbin_fit"
...	arguments passed to other methods
y1_lower	numeric, minimum threshold to constitute success, scrutinising the log of the tumour size ratio comparing time 1 to baseline. Defaults to negative infinity.
y1_upper	numeric, maximum threshold to constitute success, scrutinising the log of the tumour size ratio comparing time 1 to baseline. Defaults to positive infinity.
y2_lower	numeric, minimum threshold to constitute success, scrutinising the log of the tumour size ratio comparing time 2 to baseline.
y2_upper	numeric, maximum threshold to constitute success, scrutinising the log of the tumour size ratio comparing time 2 to baseline. Defaults to log(0.7).
conf.level	confidence level for interval.

Value

a data.frame-like object

Examples

## Not run: 
fit <- stan_augbin_demo()
binary_prob_success(fit, y2_upper = log(0.7))

## End(Not run)

trialr documentation built on April 1, 2023, 12:03 a.m.