inla.hyperpar {INLA} | R Documentation

## Improved estimates for the hyperparameters

### Description

Improve the estimates of the posterior marginals for the hyperparameters of the model using the grid integration strategy.

### Usage

     inla.hyperpar(
             result,
             skip.configurations = TRUE,
             verbose = FALSE,
             dz = 0.75,
             diff.logdens = 15,
             h = NULL,
             restart = FALSE,
             quantiles = NULL,
             keep = FALSE)

### Arguments

`result` | An object of class `inla`, ie a result of a call to `inla()`
`skip.configurations` | A boolean variable; skip configurations if the values at the main axis are to small. (Default TRUE)
`verbose` | Boolean indicating wheather the inla program should run in a verbose mode.
`dz` | Step length in the standardized scale used in the construction of the grid, default 0.75.
`diff.logdens` | The difference of the log.density for the hyperpameters to stop numerical integration using int.strategy='grid'. Default 15
`h` | The step-length for the gradient calculations for the hyperparameters. Default 0.01.
`restart` | A boolean defining wheather the optimizer should start again to ind the mode or if it should use the mode contained in the `object`
`quantiles` | A vector of quantiles, to compute for each posterior marginal.
`keep` | A boolean variable indicating the working files (ini file, data files and results files) should be kept

### Value

The object returned is the same as `object` but the estimates of the hyperparameters are replaced by improved estimates.

### Note

This function might take a long time or if the number of hyperparameters in the model is large. If it complains and says `I cannot get enough memory`, try to increase the value of the argument `dz` or decrease `diff.logdens`.

### Author(s)

Havard Rue hrue@r-inla.org

### References

See the references in `inla`

### See Also

`inla`

[Package INLA version 18.07.12 Index]