The Logistic Normal Multinomial (LNM) model is used to learn the relationship between experimental/environmental factors and community composition. It is a statistical model that estimates the probabilities of different outcomes in a multinomial distribution, given a set of covariates. The LNM model assumes that a log-ratio of the outcome probabilities follow a multivariate normal distribution. By fitting the LNM model to observed data, we can infer the effects of the covariates on the outcome compositions.
Slots
estimateThe fitted logistic normal multinomial model, with parameter B relating covariates to outcome compositions.
templateThe data used to estimate the parameters in the estimate slot.
formulaThe R formula representation of the relationship between output compositions and input variables.