testStartingValues: Test function for defining starting values
In alfcrisci/bmdModeling: Benchmark dose modeling

Test function for defining starting values

1 2	testStartingValues(shinyInput, data, modelAns, startValues = NULL, results = NULL, doPrint, track)

`shinyInput`	list with input from Shiny
`data`	dataset
`modelAns`	integer, type of response fitted
`startValues`	list with starting values for each of the response fitted This should be named with the modelAns as character; default value is NULL
`results`	list with expected results, default value is NULL; 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: (only for continous model) vector with CED values, of length `modelAns` CED.matr: (only for quantal model) vector with CED values, of length (`modelAns` - 2) (without null and full models) conf.int: vector with confidence intervals, with 2 rows (lower/upper bounds) and with number of columns, for: continuous modellength `modelAns` quantal modellength (`modelAns` - 2) (without null and full models)
`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