Compute_MDR: Compute MDR

In gilles-guillot/MDR: Test Loewe additivity with Model Deviation Ratio

Description

computing Model Deviation Ratio for data obtained under three types of designs

Usage

Compute_MDR(
  x,
  y,
  z,
  n,
  SCDR_model = c("Hill2"),
  design,
  lower = c(1e-04, 1e-04, 1e-04, 1e-04),
  upper = c(10, 10, 1, 1),
  do.plot = FALSE
)

Arguments

x	sequence of doses first compound
y	sequence of doses second compound
z	sequence of responses
n	number of binomial samples at various dose values
SCDR_model	family of the single compound dose-response curve
design	any of the below 'single-parallel': single ray parallel to an axis (dose of one of the two compounds is fixed), single compound experiment data not used, 'single-ray': single ray design (ratio of doses of two compounds is fixed), single compound experiment data not used TODO 'general': fully arbitrary design, all data used including single compound experiment data Each of the design above has to contain single-compound experiment data
lower	lower limits for the search of parameter
upper	upper limits for the search of parameter
do.plot	logical

Value

estimates of doses or concentrations eliciting 50% max effect and of MDR defined as d50_DA / d50_obs With this definition, MDR>1 (d50_DA > d50_obs) is suggestive of a synergistic mixture and MDR<1 (d50_DA < d50_obs) is suggestive of an antagonistic mixture

gilles-guillot/MDR documentation built on Jan. 21, 2020, 8:09 a.m.