View source: R/crm_codified_dose_logistic.R
crm_codified_dose_logistic | R Documentation |
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
.
crm_codified_dose_logistic(prob_tox, alpha_mean, beta_mean)
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. |
Numeric vector of codified doses.
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)
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