R/hmcdm-package.R

In hmcdm: Hidden Markov Cognitive Diagnosis Models for Learning

#' @useDynLib hmcdm, .registration = TRUE
#' @aliases hmcdm-package
#' @importFrom Rcpp evalCpp
#' @importFrom stats ecdf
#' @importFrom utils head
#' @import bayesplot
#' @import rstantools
#' @references 
#' Wang, S., Yang, Y., Culpepper, S. A., & Douglas, J. A. (2018) \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) \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) \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) \doi{10.1007/978-3-030-05584-4_24} "Reduced Reparameterized Unified Model Applied to Learning Spatial Rotation Skills."
"_PACKAGE"