It would be hard to recommend a single R package that would be best in all situations, it really depends on your data and specific question (presumably transition probabilities will be a function of more than just income in your study area). I would recommend that you start with a non-spatial logistic regression first and test the regression residuals for spatial autocorrelation to see if you need to run a spatial regression model (e.g. spatial lag, spatial error, or geographically-weighted regression model). Also, take time to consider whether frequentist or Bayesian techniques are most appropriate. There are several excellent R forums that can point you towards the required R packages (https://r-dir.com/community/forums.html).
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