fitAllModels: Fit all model families for the continuous or quantal response

In alfcrisci/bmdModeling: Benchmark dose modeling

Description

Fit all model families for the continuous or quantal response

Usage

fitAllModels(data, shinyInput, fitCovariateCombinations = FALSE,
  noFit = FALSE, estimateCed = TRUE, modelIndices = NULL, track = FALSE)

Arguments

data	list, as returned from the f.scan() function;
shinyInput	list, all parameter values as defined in the shiny UI
fitCovariateCombinations	boolean, if TRUE all possible combinations of the included covariates for parameters are fitted; default value is FALSE
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
modelIndices	numeric vector, indices of the models to be fit; if NULL values are obtained from getModelNames(); default value is NULL
track	logical, if TRUE (FALSE by default) print the name of the function which is currently being run

Value

list with 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.