Description Usage Arguments Value Author(s) Examples

This function computes the PIPs of all potential predictors

1 | ```
postInclusionProb(object)
``` |

`object` |
An object of class |

an named vector with all PIPs

Rachel Heyard

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
# 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)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.