Description Usage Arguments Author(s) Examples

This function performs CSVS given a model fitted using the `multinom()`

function of the `nnet`

package or the `vglm()`

function of the
`VGAM`

package.

1 |

`g` |
the estimated g, must be fixed to one value |

`model` |
the model fitted using either |

`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. |

`nbIntercepts` |
how many cause-specific intercepts are there? they |

`package` |
Which package has been used to fit the model, |

Rachel Heyard

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
# data extraction:
data("VAP_data")
# the definition of the full model with three potential predictors:
FULL <- outcome ~ ns(day, df = 4) + gender + type + SOFA
# here the define time as a spline with 3 knots
# we first need to fit the multinomial model:
model_full <- multinom(formula = FULL, data = VAP_data,
maxit = 150, trace = FALSE)
G <- 9 # let's suppose g equals to nine
# then we proceed to CSVS
CSVS_nnet <- CSVS(g = G, model = model_full,
discreteSurv = TRUE, package = 'nnet')
``` |

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