Calculate the binary probability of success.

Source: R/binary_prob_success.R

Calculate the binary probability of success.

Calculate the binary probability of success from an augbin_2t_1a_fit object.

binary_prob_success(x, ...)

# S3 method for 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

if (FALSE) {
fit <- stan_augbin_demo()
binary_prob_success(fit, y2_upper = log(0.7))
}