summary.damcmc_res: Summarize DAMCMC results

In sppmix: Modeling Spatial Poisson and Related Point Processes

Description

Prints a brief summary of the results of a DAMCMC fit.

For examples see

http://faculty.missouri.edu/~micheasa/sppmix/sppmix_all_examples.html#summary.damcmc_res

Usage

## S3 method for class 'damcmc_res'
summary(object, burnin = object$L/10, alpha = 0.05,
  dgt = 4, ...)

Arguments

object	Object of class damcmc_res.
burnin	Number of initial realizations to discard. By default, it is 1/10 of the total number of iterations.
alpha	Level alpha for the credible sets. Default is 0.05, for 95 sets of the mixture parameters.
dgt	Number of digits to use (formatting the output).
...	Additional arguments for the S3 method.

Author(s)

Jiaxun Chen, Sakis Micheas, Yuchen Wang

See Also

rnormmix, to_int_surf, rsppmix, est_mix_damcmc, owin

Examples

# generate data
truemix<- rnormmix(m = 3, sig0 = .1, df = 5, xlim= c(0, 5), ylim = c(0, 5))
summary(truemix)
intsurf=to_int_surf(truemix, lambda = 100, win =spatstat::owin( c(0, 5),c(0, 5)))
pp1 = rsppmix(intsurf = intsurf)# draw points
#Run DAMCMC and get posterior realizations
postfit=est_mix_damcmc(pp1,m=3)
#summary of the posterior results
summary(postfit)

sppmix documentation built on Jan. 13, 2021, 10:04 p.m.