blrm_formula_linear: Build a BLRM formula with linear interaction term in...

In OncoBayes2: Bayesian Logistic Regression for Oncology Dose-Escalation Trials

Build a BLRM formula with linear interaction term in logit-space

Description

blrm_formula_linear is a convenience function for generating a formula for blrm_trial and blrm_exnex with an interaction of the form:

\eta \, \prod_{i=1}^N (d_i \big / d_i^*))

Usage

blrm_formula_linear(
  ref_doses,
  max_interaction_level = 2,
  specific_interaction_terms = NULL
)

Arguments

ref_doses	Numeric vector of reference doses with names corresponding to drug names
max_interaction_level	Highest interaction order to consider [1 - Inf]. Default: 2
specific_interaction_terms	List of custom interaction terms to generate (e.g. list(c("drug1", "drug2"), c("drug1", "drug3"))). Default: NULL

Value

The function returns an object of class blrm_formula.

Examples

ref_doses <- c(drug_A = 10, drug_B = 20)

# can be used with blrm_trial
blrm_formula_linear(ref_doses)

OncoBayes2 documentation built on April 11, 2025, 5:42 p.m.