Package: CCTpack 1.5.2

Royce Anders

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

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.

Authors:Royce Anders <[email protected]>

CCTpack_1.5.2.tar.gz
CCTpack_1.5.2.tar.gz(r-4.5-noble)CCTpack_1.5.2.tar.gz(r-4.4-noble)
CCTpack_1.5.2.tgz(r-4.4-emscripten)CCTpack_1.5.2.tgz(r-4.3-emscripten)
CCTpack.pdf |CCTpack.html✨
CCTpack/json (API)

# Install 'CCTpack' in R:
install.packages('CCTpack', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.32 score 1 stars 21 scripts 282 downloads 18 exports 24 dependencies

Last updated 7 years agofrom:37e284813e. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxNOTEOct 31 2024

Exports:cctapplycctcatcctexportcctfaccctguicctitemcctitemhdicctmembcctmvestcctppccctresultscctscreecctsubjcctsubjhdidtraceplotplotscreeplotsummary

Dependencies:abindadmiscbootclicodaglueGPArotationlatticelifecyclemagrittrMASSMatrixmnormtmvtnormnlmepolycorpsychR2jagsR2WinBUGSrjagsrlangstringistringrvctrs

Readme and manuals

Help Manual

Help pageTopics
CCTpack: Consensus Analysis, Model-Based Clustering, and Cultural Consensus Theory ApplicationsCCTpack-package CCTpack
Class '"cct"'cct-class plot,cct,rjags-method
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.cctapply
Accessor function for the model-estimated category boundaries (obtained from the model applied to the data). Applicable for the LTRM model only.cctcat
Export the results (the cctfit object)cctexport
Accessor function for the factor coefficients after 'dat <- cctscree(dat)' has been run.cctfac
The CCT GUIcctgui
Accessor function for the item parameters (obtained from the model applied to the data)cctitem
Accessor function for the item parameter credible intervals (obtained from the model applied to the data)cctitemhdi
Accessor function for the cluster memberships of the respondents.cctmemb
Accessor function for the missing value estimates of the data, based on the cctfit (if there were missing values in the data).cctmvest
Calculate or Plot the Posterior Predictive Model Checkscctppc
Plot the posterior results from the model inferencecctresults
Generate a scree plotcctscree
Accessor function for the subject parameters (obtained from the model applied to the data)cctsubj
Accessor function for the subject parameter credible intervals (obtained from the model applied to the data)cctsubjhdi
continuousdatacontinuousdata
Traceplots for discrete parameters of a cctfit objectdtraceplot
hotcoldhotcold
Plot method for a cctfit object of class 'cct'; equivalent to function cctresults().plot
~~ Methods for Function 'plot' in Package 'graphics' ~~plot,ANY-method plot,cct-method plot-methods
raterdataraterdata
Generate a scree plotscreeplot
~~ Methods for Function 'screeplot' in Package 'stats' ~~screeplot,ANY-method screeplot,cct-method screeplot,data.frame-method screeplot,matrix-method screeplot-methods
Summary of the cctfit object of class 'cct'.summary
~~ Methods for Function 'summary' in Package 'base' ~~summary,ANY-method summary,cct-method summary-methods
testdattestdat