TBF_ingredients {TBFmultinomial} | R Documentation |
Ingredients to calculate the TBF
Description
This function calculates the ingredients needed to compute the TBFs: like the deviances with their degrees of freedom of the relevant candidate models.
Usage
TBF_ingredients(fullModel = NULL, data, discreteSurv = FALSE,
numberCores = 1, candidateModels = NULL, package = "nnet",
maxit = 150)
Arguments
fullModel |
formula of the model including all potential variables |
data |
the data frame with all the information |
discreteSurv |
Boolean variable telling us whether a 'simple' multinomial regression is looked for or if the goal is a discrete survival-time model for multiple modes of failure is needed. |
numberCores |
How many cores should be used in parallel? |
candidateModels |
Instead of defining the full model we can also specify the candidate models whose deviance statistic and d.o.f should be computed |
package |
Which package should be used to fit the models; by default
the |
maxit |
Only needs to be specified with package |
Value
an object of class TBF.ingredients
Author(s)
Rachel Heyard