binary_prob_success {trialr} | R Documentation |
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 |
... |
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)