est_fixed: Determine point estimates in a single-stage single-arm trial...
In mjg211/singlearm: Design and analysis of single-arm clinical trials

Description Usage Arguments Details Value See Also Examples

Determines all possible point estimates (the MLEs) at the end of a single-stage single-arm trial for a single binary endpoint, as determined using des_fixed().

1	est_fixed(des, pi, summary = F)

`des`	An object of class `"sa_des_fixed"`, as returned by `des_fixed()`.
`pi`	A vector of response probabilities to evaluate the expected performance of the point estimation procedure at. This will internally default to be the π₀ and π₁ from `des` if it is left unspecified.
`summary`	A logical variable indicating whether a summary of the function's progress should be printed to the console.

In addition, the performance of the point estimation procedure (including its expected value, bias, and variance) for each value of pi in the supplied vector pi, will also be evaluated.

A list of class "sa_est_fixed" containing the following elements

A tibble in the slot $est summarising the possible point estimates at the end of the trial for the supplied design.
A tibble in the slot $perf summarising the performance of the point estimation procedure for each specified value of π.
Each of the input variables as specified, subject to internal modification.

des_fixed, opchar_fixed, pval_fixed, ci_fixed, and their associated plot family of functions.

# Find the optimal single-stage design for the default parameters
des <- des_fixed()
# Determine the performance of the point estimation procedure for a range of
# possible response probabilities
est <- opchar_fixed(des, pi = seq(0, 1, 0.01))