choose_prior: Find prior parameters for an increasing logistic curve

In dominicmagirr/dosecombo: Combination Dose Escalation

Description

Find prior parameters for an increasing logistic curve

Usage

choose_prior(drug_1_dose_1, drug_1_dose_1_best_guess, drug_1_dose_2,
  drug_1_dose_2_best_guess, drug_1_n_prior, drug_2_dose_1,
  drug_2_dose_1_best_guess, drug_2_dose_2, drug_2_dose_2_best_guess,
  drug_2_n_prior, interaction_sd)

Arguments

drug_1_dose_1	A dose level for drug 1. On original scale.
drug_1_dose_1_best_guess	The best guess for p(DLT) at 'dose_1'.
drug_1_dose_2	A dose level for drug 2. On original scale. Must be the same as 'd_star[1]'.
drug_1_dose_2_best_guess	The best guess for p(DLT) at 'dose_2'.
drug_1_n_prior	The number of prior observations that is roughly equivalent to strength of belief.
drug_2_dose_1	A dose level for drug 1. On original scale.
drug_2_dose_1_best_guess	The best guess for p(DLT) at 'dose_1'.
drug_2_dose_2	A dose level for drug 2. On original scale. Must be the same as 'd_star[2]'.
drug_2_dose_2_best_guess	The best guess for p(DLT) at 'dose_2'.
drug_2_n_prior	The number of prior observations that is roughly equivalent to strength of belief.
interaction_sd	The standard deviation of the interaction parameter.

Value

A vector of prior parameters.

dominicmagirr/dosecombo documentation built on May 6, 2019, 4:32 p.m.