est_mix: Estimate mixture models using MCMC.

In wangyuchen/sppmix: 2D Normal Mixture Models for Spatial Point Process

Description

This functions fits a mixture model to spatial point pattern data using DAMCMC or BDMCMC.

Usage

est_mix(pattern, m, method = c("DAMCMC"), truncate = TRUE, chains = 4,
  iter = 5000, burnin = iter/5, thin = 1, ...)

Arguments

pattern	Point pattern object of class ppp.
m	Either number of components to fit in data augmentation MCMC or maximum number of component in Birth Death MCMC.
method	Character specifying which method to use for fitting mixture. Currently only "DAMCMC" is supported.
truncate	logical, indicating whether truncation is used, where the component density are restricted within the domain of the point pattern.
chains	A positive integer specifying number of chains; defaults to 4.
iter	Number of iterations for each chain (including burnin), default to 5000.
burnin	Number of burn-in iterations, default to 1/5 of chain length.
thin	Positive integer for thinning parameter, default to 1.
...	Further parameters to be passed to specific methods.

Examples

fit <- est_mix_damcmc(redwood, m = 3)
fit

# see vignett "Work with 2D Normal Mixtures" for more details.
vignette("mcmc", package = "sppmix")

wangyuchen/sppmix documentation built on May 4, 2019, 12:58 a.m.