Functions and data sets for simulating and fitting minification and random coefficient minification modelling.

Data and Functions for R Companion to Political Analysis 3rd Ed
c(person("Barry", "Edwards", email="barry.edwards@ucf.edu", role=c("aut", "cre")),
person("Philip", "Pollock", email="philip.pollock@ucf.edu", role=c("aut")))
Bundles the datasets and functions featured in Philip H.
Pollock and Barry C. Edwards (Forthcoming 2022)<https://edge.sagepub.com/pollock>, "An R Companion to Political Analysis, 3rd Edition," Thousand Oaks, CA: Sage Publications.
beepr, car, descr, graphics, grDevices, haven, Hmisc, knitr,
lmtest, methods, stats, survey, utils, weights
Barry Edwards [aut, cre],
Philip Pollock [aut]

Regions of common profiles modelling with mixtures-of-experts.
Fits mixtures-of-experts models to identify regions of common profiles, and associated methods. These are based on binary data for many species.

Identifies regions of common (species) profiles (RCPs).  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.  Currently, the model and methods are defined for species presence-absence data for a number of sites.

Regions of Common Profiles Modelling with Mixtures-of-Experts
glmnet, fishMod, MASS, gtools, parallel, stats, graphics
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.

glmnet (>= 2.0-13), fishMod, MASS, gtools, parallel, stats,
graphics

gtools, glmnet (>= 2.0-13), fishMod, MASS, parallel, stats,
graphics

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) <doi:10.1002/env.2245> and Foster et al. (2017) <doi:10.1111/rssc.12211>.