pred.mesa.model {SpatioTemporal} | R Documentation

## Example of a `predictSTmodel` structure

### Description

Example of a predictions for the model in `mesa.model` using `predict.STmodel`. Two sets of predictions are presented, `pred.mesa.model` and `pred.mesa.model.obs`.

### Format

A list with elements, see the return description in `predict.STmodel`.

### Source

Contains parametere estimates for the Spatio-Temporal model applied to monitoring data from the MESA Air project, see Cohen et.al. (2009) and `mesa.data.raw` for details.

### References

M. A. Cohen, S. D. Adar, R. W. Allen, E. Avol, C. L. Curl, T. Gould, D. Hardie, A. Ho, P. Kinney, T. V. Larson, P. D. Sampson, L. Sheppard, K. D. Stukovsky, S. S. Swan, L. S. Liu, J. D. Kaufman. (2009) Approach to Estimating Participant Pollutant Exposures in the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air). Environmental Science & Technology: 43(13), 4687-4693.

### See Also

`predict.STmodel` for prediction.
`createSTmodel` for creation of the originating `STmodel` object.

Other example data: `MCMC.mesa.model`, `est.cv.mesa`, `est.mesa.model`, `mesa.data.raw`, `mesa.model`

### Examples

    ##load data
    data(mesa.model)
    data(est.mesa.model)

    ##find regression parameters using GLS
    x.reg <- predict(mesa.model, est.mesa.model, only.pars = TRUE)
    str(x.reg$pars)

    ## Not run:
      ##compute predictions at all locations, including beta-fields
      pred.mesa.model <- predict(mesa.model, est.mesa.model,
                                 pred.var=TRUE)

    ## End(Not run)
    ##Let's load precomputed results instead.
    data(pred.mesa.model)

    ##study results
    print(pred.mesa.model)

[Package SpatioTemporal version 1.1.9.1 Index]