fitAllCovariates: Fit all covariate combinations for model parameters in given...

In alfcrisci/bmdModeling: Benchmark dose modeling

Description

Fit all covariate combinations for model parameters in given model family

Usage

fitAllCovariates(data, shinyInput, selectedModel, noFit = FALSE,
  estimateCed = TRUE, track = FALSE)

Arguments

data	list, as returned from the f.scan() function;
shinyInput	list, all parameter values as defined in the shiny UI
selectedModel,	integer represents the model to be fit; run function getModelNames to obtain all models and their coding
noFit	boolean, if TRUE the model is not fitted, but default parameter names and constraints can be obtained; default value is FALSE
estimateCed	boolean, if TRUE the ced (i.e. bmd) is estimated along with confidence interval using profile likelihood; default value is TRUE
track	logical, if TRUE (FALSE by default) print the name of the function which is currently being run

Value

list with savedResults, for each model a list with all results obtained during the analysis with fitSingleModel()

alfcrisci/bmdModeling documentation built on May 28, 2019, 12:32 a.m.