Title: Information Matrix for Diagnostic Classification Models
Authors@R: c(person(given = "Yanlou",family = "Liu", role = c("aut", "cre"),email = "liuyanlou@163.com"),person(given = "Tao", family = "Xin", role = "aut"))
Description: A set of asymptotic methods that can be used to directly estimate the expected (Fisher) information matrix by Liu, Tian, and Xin (2016) <doi:10.3102/1076998615621293> in diagnostic classification models or cognitive diagnostic models are provided when marginal maximum likelihood estimation is used. For these methods, both the item and structural model parameters are considered simultaneously. Specifically, the observed information matrix, the empirical cross-product information matrix and the sandwich-type co-variance matrix that can be used to estimate the asymptotic co-variance matrix (or the model parameter standard errors) within the context of diagnostic classification models are provided.
Collate: 'dcminfo.R' 'amps.R' 'lcdmobsp2.R' 'lcdmxpd.R'
Packaged: 2017-11-06 06:56:23 UTC; liuyanlou

Title: Hierarchical Models Made Easy with Data Cloning
Description: S4 classes around infrastructure provided by the dclone
package to make package development with data cloning for
Depends: methods, stats4, dclone, rjags, coda, snow
Packaged: 2011-09-28 16:09:46 UTC; localadmin

Depends: methods, stats4, dclone (>= 1.4-1), rjags, coda, snow,
Packaged: 2011-10-17 20:44:26 UTC; localadmin

Depends: methods, stats4, dclone (>= 1.6-0), rjags, coda, R2WinBUGS,

Depends: methods, stats4, dclone (>= 1.7-2), rjags, coda, R2WinBUGS,

Depends: R (>= 2.15.0), methods, stats4, dclone (>= 1.7-2), rjags,

Description: S4 classes around infrastructure
provided by the dclone package to make package
development with data cloning for hierarchical

Description: S4 classes around infrastructure provided by the
coda and dclone packages to make package development easy as a breeze
with data cloning for hierarchical models.

'coda' and 'dclone' packages to make package development easy as a breeze