Reference

All functions
AIC(<regional_mix>)	AIC from a regional_mix model
AIC(<species_mix>)	Return AIC from a species_mix model
BIC(<regional_mix>)	BIC from a regional_mix model
BIC(<species_mix>)	Return BIC from a species_mix model
bootstrap()	bootstrapping of species_mix or regional_mix fitted models.
check_RCP_posteriors()	Check posterior probabilities of RCPs for each model fit
coef(<regional_mix>)	Print the coefficientf from a regional_mix model
coef(<species_mix>)	print the coefficients from the species_mix model
cooks.distance(<regional_mix>)	cooks.distance
table_to_species_data() make_mixture_data()	data_preperation-class
ecomix-package ecomix	package file
effects_data()	Generate data for plotting or predicting partial effects of covariates
extractAIC(<regional_mix>)	Extract AIC from regional_mix model.
logLik(<regional_mix>)	Extract log-likelihood from a regional_mix model.
logLik(<species_mix>)	Extract log-likelihood from a species_mix model.
plot(<regional_mix>)	Plot residuals from a regional_mix model.
plot(<regional_mix_effects_data>)	plot.regional_mix_effects_data
plot(<regional_mix_stab>)	Diagnostic plotting to see if RCP groups are stable
plot(<species_membership>)	plot.species_membership
plot(<species_mix>)	plot.species_mix
plot(<species_mix.multifit>)	plot.species_mix.multifit
plot(<species_mix_effects_data>)	plot.species_mix_effects_data
predict(<regional_mix>)	Predicts RCP probabilities at a series of sites. Confidence intervals are available too.
predict(<species_mix>)	Predict a species_mix model.
print(<regional_mix>)	Prints some attributes of a regimix object.
print(<regional_mix.multifit>)	Prints a summary of a regional_mix.multifit object.
print(<species_mix>)	Print a species_mix model object.
rGMRF()	Simulate a gaussian markov random field
regional_mix() regional_mix.multifit()	This is how you fit a regions of common profiles model in ecomix
regional_mix.fit()	regional_mix.fit
regional_mix.simulate()	Simulate a regional_mix dataset for modelling.
regional_mix.species_profile()	What is the average species profile per RCP?
residuals(<regional_mix>)	Residuals for a regional_mix object
residuals(<species_mix>)	Estimate residuals for a species_mix object
species_membership()	Extract the posterior species membership per archetype.
species_mix()	This is how you fit a species archetype model (SAM) in ecomix.
species_mix.fit()	species_mix.fit
species_mix.multifit() print(<species_mix.multifit>)	species_mix.multifit
species_mix.simulate()	Simulate species mix data for model fitting.
stability.regional_mix()	Diagnostic checks to see if RCP groups are stable
summary(<regional_mix>)	A summary from a regional_mix object.
summary(<species_mix>)	Print a summary of the species_mix model
terms(<species_mix>)	Return terms from a fitted species_mix model
vcov(<regional_mix>)	Variance matrix for a regional_mix object.
vcov(<species_mix>)	Estimate the Variance-covariance matrix for a species_mix object.