particle: Reading particle files
Description
This interprets the .particle[i].[t].[rho].txt files generated by the mix
function and outputs a data.frame of sufficient statistics and
posterior predictive information. The demos illustrate how to use the
output for posterior inference.Usage
particle(i, mixobj, t, rho=0)
Arguments
mixobj
Object returned by the mix function.
rho
BAR process correlation parameter.
Value
- Returns a
data.frame with each row corresponding to a
mixture component (first is the base distribution). The first
column, n, is the number of observations allocated to each
mixture component, the next set of columns are sufficient
statistics, column p is the predictive probability for each
component, and the final columns are moments (and degrees of
freedom) for the student-t and multinomial posterior predictive
mixture densities.
References
An auto-regressive mixture model for dynamic spatial Poisson processes:
Application to tracking the intensity of violent crime (Taddy 2009), and other papers at faculty.chicagobooth.edu/matt.taddy/research.