Description Usage Arguments Value

Mixed-effects version of `Survreg`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ```
SurvregME(
formula,
data,
subset,
weights,
offset,
na.action = na.omit,
dist = c("weibull", "logistic", "gaussian", "exponential", "rayleigh", "loggaussian",
"lognormal", "loglogistic"),
scale = 0,
silent = TRUE,
resid = FALSE,
do_update = FALSE,
estinit = TRUE,
initpar = NULL,
fixed = NULL,
nofit = FALSE,
control = optim_control(),
...
)
``` |

`formula` |
an object of class |

`data` |
an optional data frame, list or environment (or object
coercible by |

`subset` |
an optional vector specifying a subset of observations to be used in the fitting process. |

`weights` |
an optional vector of weights to be used in the fitting
process. Should be |

`offset` |
this can be used to specify an _a priori_ known component to
be included in the linear predictor during fitting. This
should be |

`na.action` |
a function which indicates what should happen when the data
contain |

`dist` |
character defining the conditional distribution of the (not necessarily positive) response, current choices include Weibull, logistic, normal, exponential, Rayleigh, log-normal (same as log-gaussian), or log-logistic. |

`scale` |
a fixed value for the scale parameter(s). |

`silent` |
logical, make TMB functionality silent |

`resid` |
logical, Should the score residuals also be calculated? |

`do_update` |
Logical. If |

`estinit` |
logical, estimate a vector of initial values for the fixed effects parameters from a (fixed effects only) mlt model |

`initpar` |
named list of initial parameter values, if |

`fixed` |
a named vector of fixed regression coefficients; the names need to correspond to column names of the design matrix |

`nofit` |
logical, if TRUE, creates the model object, but does not run the optimization |

`control` |
list with controls for optimization |

`...` |
additional arguments to |

A `SurvregME`

object.

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