dina: Bayesian Estimation of DINA Model
Version 1.0.2

Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) .

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AuthorSteven Andrew Culpepper [aut, cph, cre]
Date of publication2017-04-26 16:26:39 UTC
MaintainerSteven Andrew Culpepper <sculpepp@illinois.edu>
LicenseGPL (>= 2)
Version1.0.2
URL https://github.com/tmsalab/dina
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("dina")

Man pages

DINA_Gibbs: Generate Posterior Distribution with Gibbs sampler
dina-package: dina: Bayesian Estimation of DINA Model
DINAsim: Simulation Responses from the DINA model
rDirichlet: Generate Dirichlet Random Variable
rmultinomial: Generate Multinomial Random Variable
update_alpha: Update attributes and latent class probabilities
update_sg: Update item parameters

Functions

DINA_Gibbs Man page Source code
DINAsim Man page Source code
dina Man page
dina-package Man page
rDirichlet Man page Source code
rmultinomial Man page Source code
update_alpha Man page Source code
update_sg Man page Source code

Files

inst
inst/CITATION
src
src/Makevars
src/init.c
src/RcppExports.cpp
src/DINAcpp101315.cpp
NAMESPACE
NEWS.md
R
R/dina-internal.R
R/RcppExports.R
README.md
MD5
DESCRIPTION
man
man/update_sg.Rd
man/update_alpha.Rd
man/rmultinomial.Rd
man/DINA_Gibbs.Rd
man/dina-package.Rd
man/rDirichlet.Rd
man/DINAsim.Rd
dina documentation built on May 19, 2017, 11:10 a.m.