trialr (version 0.1.3)

binary_prob_success: 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 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))
# }