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CCTpack (version 1.5.2)

Consensus Analysis, Model-Based Clustering, and Cultural Consensus Theory Applications

Description

Consensus analysis, model-based clustering, and cultural consensus theory applications to response data (e.g. questionnaires). The models are applied using hierarchical Bayesian inference. The current package version supports binary, ordinal, and continuous data formats.

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Version

Install

install.packages('CCTpack')

Monthly Downloads

74

Version

1.5.2

License

GPL (>= 2)

Maintainer

Royce Anders

Last Published

October 10th, 2017

Functions in CCTpack (1.5.2)

cctitemhdi

Accessor function for the item parameter credible intervals (obtained from the model applied to the data)
cctmemb

Accessor function for the cluster memberships of the respondents.
cctgui

The CCT GUI
cctitem

Accessor function for the item parameters (obtained from the model applied to the data)
cctapply

Primary function to perform model-based consensus analysis: loads the data and fits the consensus model. Allows for model-based clustering based on the numbers of "clusters" specified. Options are also available to run diagnostics on the fit, and to export the results to saved files. Based on cultural consensus theory (CCT) models for data matrices of binary, ordered categorical, or continuous response data.
cctcat

Accessor function for the model-estimated category boundaries (obtained from the model applied to the data). Applicable for the LTRM model only.
CCTpack-package

CCTpack: Consensus Analysis, Model-Based Clustering, and Cultural Consensus Theory Applications
cct-class

Class "cct"
cctexport

Export the results (the cctfit object)
cctfac

Accessor function for the factor coefficients after dat <- cctscree(dat) has been run.
continuousdata.csv

continuousdata
dtraceplot

Traceplots for discrete parameters of a cctfit object
cctresults

Plot the posterior results from the model inference
cctscree

Generate a scree plot
summary-methods

~~ Methods for Function summary in Package base ~~
cctsubj

Accessor function for the subject parameters (obtained from the model applied to the data)
cctsubjhdi

Accessor function for the subject parameter credible intervals (obtained from the model applied to the data)
plot

Plot method for a cctfit object of class 'cct'; equivalent to function cctresults().
raterdata.csv

raterdata
summary

Summary of the cctfit object of class 'cct'.
hotcold.csv

hotcold
plot-methods

~~ Methods for Function plot in Package graphics ~~
screeplot-methods

~~ Methods for Function screeplot in Package stats ~~
screeplot

Generate a scree plot
cctmvest

Accessor function for the missing value estimates of the data, based on the cctfit (if there were missing values in the data).
cctppc

Calculate or Plot the Posterior Predictive Model Checks
testdat.csv

testdat