Description Usage Arguments Value Author(s) Examples
This function computes the prior model probabilities of the candidate models
1  model_priors(fullModel, discreteSurv = TRUE, modelPrior = "flat")

fullModel 
formula of the model including all potential variables 
discreteSurv 
Boolean var telling us whether a 'simple' multinomial regression is looked for or if the goal is a discrete survivaltime model for multiple modes of failure is needed. 
modelPrior 
what prior should be used on the model space?

a numerical vector with the prior model probabilities
Rachel Heyard
1 2 3 4 5 6  # the definition of the full model with three potential predictors:
FULL < outcome ~ ns(day, df = 4) + gender + type + SOFA
# here we define time as a spline with 3 knots
priors < model_priors(fullModel = FULL, discreteSurv = TRUE,
modelPrior = 'dependent')

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.