testCovariates: Test function for including covariates

In alfcrisci/bmdModeling: Benchmark dose modeling

Description

Test function for including covariates

Usage

testCovariates(shinyInput, shinyInputCovariates, data, modelAns,
  results = NULL, doPrint, track)

Arguments

shinyInput	list with input from Shiny
shinyInputCovariates	list with input from Shiny for parameters concerning the covariates
data	dataset
modelAns	integer, type of response fitted
results	list with expected results, should contain the following items par.start: list with starting values for the parameters, of length modelAns loglik: vector with values for the log likelihood, of length modelAns CED: vector with CED values, of length modelAns conf.int: vector with confidence intervals, with 2 rows (lower/upper bounds) and length modelAns columns
doPrint	logical, if TRUE, additional information concerning the test is printed
track	logical, if TRUE (FALSE by default) print the name of the function which is currently being run

Value

no returned value

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