OncoBayes2: blrm_formula_linear – R documentation

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blrm_formula_linear

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:

η \, ∏_{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

Bayesian Logistic Regression for Oncology Dose-Escalation Trials

v0.7-0

GPL (>= 3)

Authors

Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Lukas A. Widmer [aut], Andrew Bean [aut], Trustees of Columbia University [cph] (R/stanmodels.R, configure, configure.win)

Initial release

2021-05-07