as_tibble.simulations_collection: Convert a simulations_collection to a tibble

In escalation: A Modular Approach to Dose-Finding Clinical Trials

Convert a simulations_collection to a tibble

Description

Cumulative statistics are shown to gauge how the simulations converge.

Usage

## S3 method for class 'simulations_collection'
as_tibble(x, target_dose = NULL, alpha = 0.05, ...)

Arguments

x	object of type simulations_collection
target_dose	numerical dose index, or NULL (default) for all doses
alpha	significance level for symmetrical confidence intervals
...	extra args are ignored

Value

a tibble with cols:

• dose, the dose-level

• n, cumulative inference using the first n simulated iterations

• design.x, The first design in the comparison, aka design X

• hit.x, logical showing if design X recommended dose in iterate n

• design.y, The second design in the comparison, aka design Y

• hit.x, logical showing if design Y recommended dose in iterate n

• X, cumulative sum of hit.x within dose, i.e. count of recommendations

• X2, cumulative sum of hit.x^2 within dose

• Y, cumulative sum of hit.y within dose, i.e. count of recommendations

• Y2, cumulative sum of hit.y^2 within dose

• XY, cumulative sum of hit.x * hit.y within dose

• psi1, X / n

• psi2, Y / n

• v_psi1, variance of psi1

• v_psi2, variance of psi2

• cov_psi12, covariance of psi1 and psi2

• delta, psi1 - psi2

• v_delta, variance of delta

• se_delta, standard error of delta

• delta_l, delta - q * se_delta, where q is alpha / 2 normal quantile

• delta_u, delta + q * se_delta, where q is alpha / 2 normal quantile

• comparison, Label of design.x vs design.y, using design names

escalation documentation built on June 27, 2024, 5:09 p.m.