rsfm_inla.RdFit a Restricted Spatial Frailty model using INLA
rsfm_inla(data, formula, family, proj = "none", nsamp = 1000, fast = TRUE, ...)
| data | a data frame or list containing the variables in the model. |
|---|---|
| formula | a inla formula like inla.surv(time, event) ~ 1 + z + f(ind, model="iid") + f(ind2, weights, model="ar1"). This is much like the formula for a glm except that smooth or spatial terms can be added to the right hand side of the formula. See f for full details and the web site www.r-inla.org for several worked out examples. Each smooth or spatial term specified through f should correspond to separate column of the data frame data. The outcome is the output of the function inla.surv. |
| family | "exponential", "weibull", "weibullcure", "loglogistic", "gamma", "lognormal" or "pwe". |
| proj | "none" or "rhz". |
| nsamp | number of samples. Default = 1000. |
| fast | set TRUE, to use the reduction operator. |
| ... | other parameters used in ?INLA::inla. |
A list containing
$sample: a sample of size nsamp for all parameters in the model
$summary_fixed: summary measures for the coefficients
$summary_hyperpar: summary measures for hyperparameters
$summary_random: summary measures for random quantities
A list containing
$sample: a sample of size nsamp for all parameters in the model
$summary_fixed: summary measures for the coefficients
$summary_hyperpar: summary measures for hyperparameters
$summary_random: summary measures for random quantities
INLA output
time elapsed for fitting the model