crimelinkage-package: 'crimelinkage' package: Statistical Methods for Crime Series...
In crimelinkage: Statistical Methods for Crime Series Linkage
Description
Code for criminal case linkage, crime series identification, crime series
clustering, and suspect identification.
Details
The basic inputs will be a data.frame of crime incidents and an offenderTable
data.frame that links offenders to (solved) crimes.
The crime incident data must have one column
named crimeID that provides a unique crime identifier. Other
recognized columns include: spatial information: X, Y which can
be in metric or long/lat; DT.FROM, DT.TO for the event times
(these must be of class POSIXct). Other columns containing information about
the crime, crime scene, or suspect can be included as well.
The offenderTable must have columns: crimeID (unique crime identifier)
and offenderID (unique offender identifier).
See the vignettes for more details.
crimelinkage documentation built on May 2, 2019, 1:36 a.m.
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Description
Code for criminal case linkage, crime series identification, crime series clustering, and suspect identification.
Details
The basic inputs will be a data.frame of crime incidents and an offenderTable data.frame that links offenders to (solved) crimes.
The crime incident data must have one column
named crimeID that provides a unique crime identifier. Other
recognized columns include: spatial information: X, Y which can
be in metric or long/lat; DT.FROM, DT.TO for the event times
(these must be of class POSIXct). Other columns containing information about
the crime, crime scene, or suspect can be included as well.
The offenderTable must have columns: crimeID (unique crime identifier)
and offenderID (unique offender identifier).
See the vignettes for more details.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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