pmf: Probability mass functions of a randomised clinical trial...
In ph2rand: Randomized Phase II Oncology Trials with Bernoulli Outcomes

Description Usage Arguments Value See Also Examples

pmf determines probability mass functions of a design returned by des_one_stage or des_two_stage, under given response rate scenarios (see pi).

pmf(
  des = ph2rand::des_one_stage(),
  pi = des$opchar[, 1:2],
  k = 1:des$J,
  summary = FALSE
)

`des`	An object of class `ph2rand_des`, as returned by `des_one_stage` or `des_two_stage`. Defaults to `ph2rand::des_one_stage()`.
`pi`	A `numeric` `vector` with two elements, or a `numeric` `matrix` or `data.frame` with two columns, giving the response rate scenarios to consider. The first element/column should correspond to the control arm and the second element/column to the experimental arm. Defaults to `des$opchar[, 1:2]`.
`k`	A `numeric` `vector` indicating which stages to consider in determining the probability mass functions. That is, it will condition the calculations on the trial ending in the stages given in `k`. Defaults to `1:des$J` (i.e., to all stages of the given design).
`summary`	A `logical` variable indicating whether a summary of the function's progress should be printed to the console. Defaults to `FALSE`.

A list with additional class "ph2rand_pmf", containing each of the input parameters along with a tibble in the slot $pmf, which gives the determined probability mass functions.

des_one_stage, des_two_stage, plot.ph2rand_terminal.

# The default two-stage design
des <- des_two_stage()
# Its probability mass function under the uninteresting and interesting
# scenarios
pmf <- pmf(des)
# The same probability mass functions, conditioning on the trial ending in
# stage 2
pmf <- pmf(des, k = 2)