step.ds.mixture: Stepwise selection of mixture components
In dill/mmds: Mixture Model Distance Sampling (mmds)

Description Usage Arguments Value Details Author(s) Examples

Uses AIC to select the number of mixture components.

1	step.ds.mixture(ds.object, max.terms = 4)

`ds.object`	`ds.mixture` object.
`max.terms`	Maximum number of mixture components to attempt to fit. Default 4.

a ds.mixture model object of the best (AIC-wise) model.

This routine is most useful during model building. Setting up a basic 1-point mixture model and then running this on the object returns a model with the lowest AIC.

Progress will be printed to the screen.

David L. Miller

library(mmds)
set.seed(0)
## simulate some line transect data from a 2 point mixture
sim.dat<-sim.mix(c(-0.223,-1.897,inv.reparam.pi(0.3)),2,100,1)
## fit the model
fit.sim.dat.1<-fitmix(sim.dat,1,1)
## find best AIC model
step.ds.mixture(fit.sim.dat.1)