fit: Perform dose-effect fitting algorithm

In biodosimetry-uab/biodosetools: An R Shiny Application for Biological Dosimetry

Perform dose-effect fitting algorithm

Description

Perform dose-effect fitting. A generalized linear model (GLM) is used by default, with a maximum likelihood estimation (MLE) as a fallback method.

Usage

fit(
  count_data,
  model_formula,
  model_family,
  fit_link = "identity",
  aberr_module = c("dicentrics", "translocations", "micronuclei"),
  algorithm = c("glm", "maxlik")
)

Arguments

count_data	Count data in data frame form.
model_formula	Model formula.
model_family	Model family.
fit_link	Family link.
aberr_module	Aberration module.
algorithm	Optional selection of algorithm to be used, either "glm" (for GLM) or "maxlik" (for MLE). By default, "glm" is used, with "maxlik" as a fallback method.

Details

The GLM method is based on the paper by Edwards, A. A. et al. (1979). Radiation induced chromosome aberrations and the Poisson distribution. Radiation and Environmental Biophysics, 16(2), 89-100. <doi:10.1007/BF01323216>.

The MLE method is based on the paperby Oliveira, M. et al. (2016). Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study. Biometrical Journal, 58(2), 259-279. <doi:10.1002/bimj.201400233>.

Value

List object containing fit results either using GLM or maxLik optimization.

biodosimetry-uab/biodosetools documentation built on Nov. 28, 2024, 10:12 a.m.