crm_codified_dose_logistic {trialr}

Calculate codified CRM doses.

Description

Calculate the codified CRM doses that map to probability of toxicity prob_tox in a logistic model with expected values for intercept and gradient. I.e. find x[i] such that logit(p[i]) = \alpha + \beta x[i], were p is prob_tox.

Usage

crm_codified_dose_logistic(prob_tox, alpha_mean, beta_mean)

Arguments

prob_tox

Numeric vector, seek codified doses that yield these probabilities of toxicity.

alpha_mean

Numeric, expected value of intercept.

beta_mean

Numeric, expected value of gradient with respect to dose.

Value

Numeric vector of codified doses.

Examples

skeleton <- c(0.05, 0.1, 0.2, 0.5)
crm_codified_dose_logistic(skeleton, 1, 0)
crm_codified_dose_logistic(skeleton, 3, 0.5)