This package is considered a duplicate. The official version of this package is found at:https://tmsalab.r-universe.dev/hmcdm

Package: hmcdm 2.1.3

Sunbeom Kwon

hmcdm: Hidden Markov Cognitive Diagnosis Models for Learning

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.

Authors:Susu Zhang [aut], Shiyu Wang [aut], Yinghan Chen [aut], Sunbeom Kwon [aut, cre]

hmcdm_2.1.3.tar.gz
hmcdm_2.1.3.tar.gz(r-4.7-arm64)hmcdm_2.1.3.tar.gz(r-4.7-x86_64)hmcdm_2.1.3.tar.gz(r-4.6-arm64)hmcdm_2.1.3.tar.gz(r-4.6-x86_64)
hmcdm_2.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
hmcdm/json (API)
NEWS

# Install 'hmcdm' in R:

install.packages('hmcdm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tmsalab/hmcdm/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

Design_array - Design array
L_real_array - Observed response times array
Q_matrix - Q-matrix
Test_order - Test block ordering of each test version
Test_versions - Subjects' test version
Y_real_array - Observed response accuracy array

On CRAN:

openblas cpp openmp

4.06 score 19 scripts 542 downloads 11 exports 50 dependencies

Last updated from:eb941b1617. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	205
linux-devel-x86_64	OK	209
source / vignettes	OK	423
linux-release-arm64	OK	237
linux-release-x86_64	OK	183
wasm-release	OK	136

Exports:ETAmat hmcdm inv_bijectionvector OddsRatio Q_list_g random_Q rOmega sim_alphas sim_hmcdm sim_RT TPmat

Dependencies:abind backports bayesplot checkmate cli cpp11 crayon desc distributional dplyr farver generics ggplot2 ggridges glue gtable hms isoband labeling lifecycle magrittr matrixStats numDeriv pillar pkgconfig plyr posterior prettyunits progress purrr R6 RColorBrewer Rcpp RcppArmadillo RcppParallel reshape2 rlang rstantools S7 scales stringi stringr tensorA tibble tidyr tidyselect utf8 vctrs viridisLite withr