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RCPmod (version 2.192)

Regions of Common Profiles Modelling with Mixtures-of-Experts

Description

Identifies regions of common (species) profiles (RCPs), possibly when sampling artefacts are present. Within a region the probability of sampling all species remains approximately constant. This is performed using mixtures-of-experts models. The package also contains associated methods, such as diagnostics. Details of the method can be found in Foster et al (2013) and Foster et al. (2017) .

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Version

Install

install.packages('RCPmod')

Monthly Downloads

8

Version

2.192

License

GPL (>= 2)

Maintainer

Scott Foster

Last Published

October 25th, 2022

Functions in RCPmod (2.192)

stability.regimix

Diagnostic checks to see if RCP groups are stable
summary.regimix

Summarises a regimix object.
regiboot

Bootstraps a regimix object.
regimix

Fits a regimix model.
vcov.regimix

Variance matrix for a regimix object.
simRCPdata

Simulates from a regimix model
residuals.regimix

Residuals for a regimix object.
AIC.regimix

Information criterion for a regimix model.
extractAIC.regimix

Extracts the AIC for a regimix model.
logLik.regimix

The log likelihood for a regimix model.
coef.regimix

A regimix objects coefficients.
orderFitted

Assesses classification error and re-orders parameters for simulated data (orderFitted) or for two fits (orderPost).
plot.registab

Diagnostic plotting to see if RCP groups are stable
predict.regimix

Predicts from a regimix object.
cooks.distance.regimix

Calculates leave-some-out statistics for a regimix object, principally a version of Cook's distance and cross-validated predictive logl
plot.regimix

Plots residuals from a regimix x.
print.regimix

Prints a regimix object.