Statistical Methods for Crime Series Linkage

Statistical Methods for Crime Series Linkage. This package provides code for criminal case linkage, crime series identification, crime series clustering, and suspect identification.


News

crimelinkage 0.0.4 (09/18/2015)

  • Switched to the formula interface for naiveBayes() to be more consistent with other R functions.
    • There is also a naiveBayes.fit() function to pass in data w/o formula.
    • Note: this is different than the function from previous version. Old calls will no longer work. Please update to the new interface.
  • Added S3 methods: plot.naiveBayes, predict.naiveBayes
  • Improved compareCrimes() function.
    • Better estimation of the expected absolute differences between the temporal crime variables using convolution. It is now a deterministic function.
    • Uncensored event times, if exact times are known, are now permitted.
  • Updated crimes dataset with a slight modification to some dates.
  • Updated predict.naiveBayes() to give warning when a predictor is not included in model, but continue to give results.
  • Corrected typos in vignettes
  • Added default packges to imports

crimelinkage 0.0.3 (04/18/2015)

  • Initial package submission

Reference manual

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install.packages("crimelinkage")

0.0.4 by Michael Porter, 4 years ago


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Browse source code at https://github.com/cran/crimelinkage


Authors: Michael Porter [aut, cre] , Brian Reich [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports igraph, geosphere, grDevices, graphics, stats, utils

Suggests fields, knitr, gbm


See at CRAN