hmcdm-package: hmcdm: Hidden Markov Cognitive Diagnosis Models for Learning

In hmcdm: Hidden Markov Cognitive Diagnosis Models for Learning

hmcdm: Hidden Markov Cognitive Diagnosis Models for Learning

Description

Fitting hidden Markov models of learning under the cognitive diagnosis framework. The estimation of the hidden Markov diagnostic classification model, the first order hidden Markov model, the reduced-reparameterized unified learning model, and the joint learning model for responses and response times.

Author(s)

Maintainer: Sunbeom Kwon [e-mail]

Authors:

• Susu Zhang [e-mail]

• Shiyu Wang [e-mail]

• Yinghan Chen [e-mail]

References

Wang, S., Yang, Y., Culpepper, S. A., & Douglas, J. A. (2018) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3102/1076998617719727")} "Tracking Skill Acquisition With Cognitive Diagnosis Models: A Higher-Order, Hidden Markov Model With Covariates."

Chen, Y., Culpepper, S. A., Wang, S., & Douglas, J. (2018) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0146621617721250")} "A hidden Markov model for learning trajectories in cognitive diagnosis with application to spatial rotation skills."

Wang, S., Zhang, S., Douglas, J., & Culpepper, S. (2018) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/15366367.2018.1435105")} "Using Response Times to Assess Learning Progress: A Joint Model for Responses and Response Times."

Zhang, S., Douglas, J. A., Wang, S. & Culpepper, S. A. (2019) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-030-05584-4_24")} "Reduced Reparameterized Unified Model Applied to Learning Spatial Rotation Skills."

See Also

Useful links:

• https://github.com/tmsalab/hmcdm

• Report bugs at https://github.com/tmsalab/hmcdm/issues

hmcdm documentation built on March 31, 2023, 8:07 p.m.