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R-INLA package

R-INLA package. Disease mapping in Germany. Disease mapping. Larynx cancer mortality count in Germany, 1986 to 1990 Spatial resolution: 544 regions. BYM Model. For each region: Assume the data to be conditionally independent Poisson random variables: Linear predictor:. Linear predictor.

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R-INLA package

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  1. R-INLA package Disease mapping in Germany

  2. Disease mapping • Larynx cancer mortality count in Germany, 1986 to 1990 • Spatial resolution: 544 regions

  3. BYM Model • For each region: • Assume the data to be conditionally independent Poisson random variables: • Linear predictor:

  4. Linear predictor • Intercept term • Linear effects of the level of smoking consumption covariate • Unstructured spatial effect, i.i.d. for each region i. • Structured spatial effect, modelled as IGMRF.

  5. R code for linear predictor

  6. R code for inla function

  7. Summary result

  8. Graphical results

  9. Functions of the INLA package • f ( ) : Helps defining non linear effects in the model specification. • inla ( ) : Performs a Bayesian analysis of additive models as well as specify likelihood distribution. • summary ( ) : Produces a summary of the main results from a fitted model. • plot ( ) : Produces some plots from the fitted model.

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