Class "DMN"

Result from fitting a Dirichlet-Multinomial model.

Objects from the Class

Objects can be created by calls to dmn..

Slots

The contents of a slot is usually retrieved via the methods described on the mixture help page.

goodnessOfFit

NLE, LogDet, Laplace, AIC, and BIC criteria assessing goodness-of-fit.

group

matrix of dimension samples x k, providing the Dirichlet parameter vectors.

mixture

Weight

numeric() of length k, with relative weight of each component.

fit

Lower

matrix() of dimension taxa x k with 95% lower bounds on Dirichlet component vector estimates.

Estimate

matrix() of dimension taxa x k with Dirichlet component vector estimates.

Upper

matrix() of dimension taxa x k with 95% upper bounds on Dirichlet component vector estimates.

Methods

See the mixture help page.

Author

Martin Morgan mailto:mtmorgan.xyz@gmail.com

See also

dmn, mixture.

Examples

data(fit)
fit[[4]]
#> class: DMN 
#> k: 4 
#> samples x taxa: 278 x 130 
#> Laplace: 38781.1 BIC: 40425.31 AIC: 39476.69