Volume I


Here is a list of worked out examples of how to use R inla. All the data set in this page are included in the R inla package.

 
Example name and description

 
Detailed description



  Data set


 R code

 Epil:  repeated measure on Poisson counts Example taken from Winbugs/Openbugs  Examples vol I. For details see here
 Epil.txt Epil.code
 Surg: binomial regression with random effects Example taken from Winbugs/Openbugs  Examples vol I. For details see here Surg.txt Surg.code
 Seeds: random effects logistic regression   Example taken from Winbugs/Openbugs  Examples vol I. For details see here Seeds.txt Seeds.code
 Salm : extra-Poisson variation in dose-response study   Example taken from Winbugs/Openbugs  Examples vol I. For details see here Salm.txt Salm.code
 Tokyo: smoothing time series of binomial data  Tokyo
 Tokyo.txt Tokyo.code
 Drivers: time series with seasonal component Drivers Drivers.txt Drivers.code
 Bym: an example of disease mapping with Poisson data and covariates assumed to have a linear or smooth effect  BymGermany.txt
germany.graph
 Bym.code
 Munich: semiparametric regression model with Gaussian data and additional spatial effect Example  4.2.2 from "Gaussian Markov Random Fields: Theory and Applications"  by H. Rue and L. Held
 Munich.txt
munich.graph
 Munich.code
 Zambia: semiparametric regression on Gaussian data with additional spatial effect Example taken from the BayesX manual, for details see
BayesX
 zambia.txt
zambia.graph
 zambia.code
 Scotland: conditional autoregressive model (CAR) for disease mapping Example taken from the OpenBUGS\GeoBUGS manual. For details see here   Scotland.txt
Scotland.graph
 scotland.code
  Stacks: Robust and Ridge regression
 The stacks example from the WinBugs examples Vol 1.
 stacks.dat stacks.R
stacks2.R

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