postInclusionProb {TBFmultinomial} | R Documentation |
This function computes the PIPs of all potential predictors
postInclusionProb(object)
object |
An object of class |
an named vector with all PIPs
Rachel Heyard
# extract the data:
data("VAP_data")
# 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
# computation of the posterior model probabilities:
test <- PMP(fullModel = FULL, data = VAP_data,
discreteSurv = TRUE, maxit = 150)
class(test)
#computation of the posterior inclusion probabilities:
postInclusionProb(test)