index.md
In Michael-Stevens-27/silverblaze: Geographic Profiling in R
silverblaze
Version 1.0.0
Silverblaze offers a finite mixture model for Geographic Profiling. Through the package a user can
- infer source locations and dispersal patterns - common desirable parameters in geographic profiling
- make inferences via count, prevalence and point pattern data
- specify a spatial prior in source locations via shape files
Silverblaze is a toolbox for geographic profiling that utilises different MCMC algorithms (Metropolis-Hastings coupling and Gibbs sampling) to infer the above parameters. The package RgeoProfile uses a Dirichlet Process Mixture model (DPM) to solve the issue of multiple sources.
Michael-Stevens-27/silverblaze documentation built on May 28, 2021, 5:47 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
silverblaze
Version 1.0.0
Silverblaze offers a finite mixture model for Geographic Profiling. Through the package a user can
- infer source locations and dispersal patterns - common desirable parameters in geographic profiling
- make inferences via count, prevalence and point pattern data
- specify a spatial prior in source locations via shape files
Silverblaze is a toolbox for geographic profiling that utilises different MCMC algorithms (Metropolis-Hastings coupling and Gibbs sampling) to infer the above parameters. The package RgeoProfile uses a Dirichlet Process Mixture model (DPM) to solve the issue of multiple sources.
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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