{ "_id": "6a1f1ab0b401979e7341f246", "Package": "hmcdm", "Type": "Package", "Title": "Hidden Markov Cognitive Diagnosis Models for Learning", "Version": "2.1.3", "Authors@R": "c(\nperson(\"Susu\", \"Zhang\", email = \"szhan105@illinois.edu\", role = c(\"aut\")),\nperson(\"Shiyu\", \"Wang\", email = \"swang44@uga.edu\", role = c(\"aut\")),\nperson(\"Yinghan\", \"Chen\", email = \"yinghanc@unr.edu \", role = c(\"aut\")),\nperson(\"Sunbeom\", \"Kwon\", email = \"sunbeom2@illinois.edu\", role = c(\"aut\", \"cre\"))\n)", "Description": "Fitting hidden Markov models of learning under the\ncognitive diagnosis framework. The estimation of the hidden\nMarkov diagnostic classification model, the first order hidden\nMarkov model, the reduced-reparameterized unified learning\nmodel, and the joint learning model for responses and response\ntimes.", "License": "GPL (>= 2)", "URL": "https://github.com/tmsalab/hmcdm", "BugReports": "https://github.com/tmsalab/hmcdm/issues", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.1", "Roxygen": "list(markdown = TRUE)", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "make libicu-dev", "Repository": "https://tmsalab.r-universe.dev", "Date/Publication": "2026-01-14 15:12:57 UTC", "RemoteUrl": "https://github.com/tmsalab/hmcdm", "RemoteRef": "HEAD", "RemoteSha": "0edc943f20c5eda9a7c332d1aa8344118350337a", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-16 09:35:50 UTC", "User": "root" }, "Author": "Susu Zhang [aut],\nShiyu Wang [aut],\nYinghan Chen [aut],\nSunbeom Kwon [aut, cre]", "Maintainer": "Sunbeom Kwon ", "MD5sum": "1b7b1dfed20912151f0dbb4578e329a0", "_user": "tmsalab", "_type": "src", "_file": "hmcdm_2.1.3.tar.gz", "_fileid": "fd53d01778bb50744bb13fbcb9c262f7872d9cf646dc0377cef65c2a5ac527f6", "_filesize": 1651053, "_sha256": "fd53d01778bb50744bb13fbcb9c262f7872d9cf646dc0377cef65c2a5ac527f6", "_created": "2026-05-16T09:35:50.000Z", "_published": "2026-06-02T18:02:24.469Z", "_distro": "noble", "_jobs": [ { "job": 79138187799, "time": 190, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7032380978" }, { "job": 79138187672, "time": 201, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7032382069" }, { "job": 79138187795, "time": 238, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7032386232" }, { "job": 79138187974, "time": 185, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7032380541" }, { "job": 79138187995, "time": 120, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7032374139" }, { "job": 79138187954, "time": 280, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "7032391419" }, { "job": 79138187721, "time": 183, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7032381781" }, { "job": 79138187548, "time": 254, "config": "macos-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7032389370" }, { "job": 79138186927, "time": 446, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7032359582" }, { "job": 79138186902, "time": 158, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7365867136" }, { "job": 79138187707, "time": 211, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7032383212" }, { "job": 79138187781, "time": 193, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7032381313" }, { "job": 79138187664, "time": 192, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7032381254" } ], "_buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/tmsalab/hmcdm", "_commit": { "id": "0edc943f20c5eda9a7c332d1aa8344118350337a", "author": "Sunbeom Kwon ", "committer": "Sunbeom Kwon ", "message": "CRAN-Submission\n", "time": 1768403577 }, "_maintainer": { "name": "Sunbeom Kwon", "email": "sunbeom2@illinois.edu", "login": "sunbeomk", "uuid": 106200791 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "progress", "role": "LinkingTo" }, { "package": "Rcpp", "version": ">= 1.0.0", "role": "Imports" }, { "package": "stats", "version": ">= 3.0.0", "role": "Imports" }, { "package": "bayesplot", "version": ">= 1.9.0", "role": "Imports" }, { "package": "rstantools", "version": ">= 1.0.0", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "tmsalab", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-43", "n": 2 }, { "week": "2026-03", "n": 2 } ], "_tags": [ { "name": "v2.1.2", "date": "2025-10-24" } ], "_topics": [ "cognitive-diagnostic-models", "psychometrics", "rcpp", "rcpparmadillo", "openblas", "cpp", "openmp" ], "_stars": 8, "_contributors": [ { "user": "szhang1121", "count": 28, "uuid": 34356388 }, { "user": "sunbeomk", "count": 25, "uuid": 106200791 }, { "user": "coatless", "count": 4, "uuid": 833642 } ], "_userbio": { "uuid": 7732748, "type": "organization", "name": "TMSA Lab @ UIUC", "description": "Testing Measurement and Statistical Analysis Lab at the University of Illinois (UIUC)" }, "_downloads": { "count": 523, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/hmcdm" }, "_devurl": "https://github.com/tmsalab/hmcdm", "_searchresults": 13, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/hmcdm.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/tmsalab/hmcdm", "_realowner": "tmsalab", "_cranurl": true, "_releases": [ { "version": "2.0.0", "date": "2022-08-29" }, { "version": "2.1.0", "date": "2023-01-25" }, { "version": "2.1.1", "date": "2023-03-20" }, { "version": "2.1.2", "date": "2025-10-22" }, { "version": "2.1.3", "date": "2026-01-14" } ], "_exports": [ "ETAmat", "hmcdm", "inv_bijectionvector", "OddsRatio", "Q_list_g", "random_Q", "rOmega", "sim_alphas", "sim_hmcdm", "sim_RT", "TPmat" ], "_datasets": [ { "name": "Design_array", "title": "Design array", "object": "Design_array", "class": [ "array" ], "fields": [], "table": false, "tojson": true }, { "name": "L_real_array", "title": "Observed response times array", "object": "L_real_array", "class": [ "array" ], "fields": [], "table": false, "tojson": true }, { "name": "Q_matrix", "title": "Q-matrix", "object": "Q_matrix", "class": [ "matrix", "array" ], "fields": {}, "rows": 50, "table": true, "tojson": true }, { "name": "Test_order", "title": "Test block ordering of each test version", "object": "Test_order", "class": [ "matrix", "array" ], "fields": {}, "rows": 5, "table": true, "tojson": true }, { "name": "Test_versions", "title": "Subjects' test version", "object": "Test_versions", "class": [ "numeric" ], "fields": [], "table": false, "tojson": true }, { "name": "Y_real_array", "title": "Observed response accuracy array", "object": "Y_real_array", "class": [ "array" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "hmcdm-package", "title": "hmcdm: Hidden Markov Cognitive Diagnosis Models for Learning", "topics": [ "hmcdm-package", "_PACKAGE" ] }, { "page": "Design_array", "title": "Design array", "topics": [ "Design_array" ] }, { "page": "ETAmat", "title": "Generate ideal response matrix", "topics": [ "ETAmat" ] }, { "page": "hmcdm", "title": "Gibbs sampler for learning models", "topics": [ "hmcdm" ] }, { "page": "inv_bijectionvector", "title": "Convert integer to attribute pattern", "topics": [ "inv_bijectionvector" ] }, { "page": "L_real_array", "title": "Observed response times array", "topics": [ "L_real_array" ] }, { "page": "OddsRatio", "title": "Compute item pairwise odds ratio", "topics": [ "OddsRatio" ] }, { "page": "pp_check.hmcdm", "title": "Graphical posterior predictive checks for hidden Markov cognitive diagnosis model", "topics": [ "pp_check.hmcdm" ] }, { "page": "summary.hmcdm", "title": "Summarizing Hidden Markov Cognitive Diagnosis Model Fits", "topics": [ "print.summary.hmcdm", "summary.hmcdm" ] }, { "page": "Q_list_g", "title": "Generate a list of Q-matrices for each examinee.", "topics": [ "Q_list_g" ] }, { "page": "Q_matrix", "title": "Q-matrix", "topics": [ "Q_matrix" ] }, { "page": "random_Q", "title": "Generate random Q matrix", "topics": [ "random_Q" ] }, { "page": "rOmega", "title": "Generate a random transition matrix for the first order hidden Markov model", "topics": [ "rOmega" ] }, { "page": "sim_alphas", "title": "Generate attribute trajectories under the specified hidden Markov models", "topics": [ "sim_alphas" ] }, { "page": "sim_hmcdm", "title": "Simulate responses from the specified model (entire cube)", "topics": [ "sim_hmcdm" ] }, { "page": "sim_RT", "title": "Simulate item response times based on Wang et al.'s (2018) joint model of response times and accuracy in learning", "topics": [ "sim_RT" ] }, { "page": "test_order", "title": "Test block ordering of each test version", "topics": [ "Test_order" ] }, { "page": "Test_versions", "title": "Subjects' test version", "topics": [ "Test_versions" ] }, { "page": "TPmat", "title": "Generate monotonicity matrix", "topics": [ "TPmat" ] }, { "page": "Y_real_array", "title": "Observed response accuracy array", "topics": [ "Y_real_array" ] } ], "_readme": "https://github.com/tmsalab/hmcdm/raw/HEAD/README.md", "_rundeps": [ "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" ], "_sysdeps": [ { "shlib": "liblapack", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_vignettes": [ { "source": "DINA_FOHM.Rmd", "filename": "DINA_FOHM.html", "title": "DINA_FOHM", "engine": "knitr::rmarkdown", "headings": [ "Load the spatial rotation data", "(1) Simulate responses and response times based on the DINA_FOHM model", "(2) Run the MCMC to sample parameters from the posterior distribution", "(3) Check for parameter estimation accuracy", "(4) Evaluate the fit of the model to the observed response" ], "created": "2022-07-20 20:33:50", "modified": "2023-01-20 23:42:03", "commits": 3 }, { "source": "DINA_HO_RT_joint.Rmd", "filename": "DINA_HO_RT_joint.html", "title": "DINA_HO_RT_joint", "engine": "knitr::rmarkdown", "headings": [ "Load the spatial rotation data", "(1) Simulate responses and response times based on the HMDCM model with response times (no covariance between speed and learning ability)", "(2) Run the MCMC to sample parameters from the posterior distribution", "(3) Check for parameter estimation accuracy", "(4) Evaluate the fit of the model to the observed response and response times data (here, Y_sim and R_sim)" ], "created": "2022-07-20 20:33:50", "modified": "2023-01-20 23:42:03", "commits": 3 }, { "source": "DINA_HO_RT_sep.Rmd", "filename": "DINA_HO_RT_sep.html", "title": "DINA_HO_RT_sep", "engine": "knitr::rmarkdown", "headings": [ "Load the spatial rotation data", "(1) Simulate responses and response times based on the HMDCM model with response times (no covariance between speed and learning ability)", "(2) Run the MCMC to sample parameters from the posterior distribution", "(3) Check for parameter estimation accuracy", "(4) Evaluate the fit of the model to the observed response and response times data (here, Y_sim and R_sim)" ], "created": "2022-07-20 20:33:50", "modified": "2023-01-20 23:42:03", "commits": 3 }, { "source": "HMDCM.Rmd", "filename": "HMDCM.html", "title": "HMDCM", "engine": "knitr::rmarkdown", "headings": [ "Load the spatial rotation data", "(1) Simulate responses based on the HMDCM model", "(2) Run the MCMC to sample parameters from the posterior distribution", "(3) Evaluate the accuracy of estimated parameters", "Attribute-wise agreement rate between true and estimated alphas", "Pattern-wise agreement rate between true and estimated alphas", "(4) Evaluate the fit of the model to the observed response", "Convergence checking" ], "created": "2022-07-20 20:33:50", "modified": "2023-01-20 23:42:03", "commits": 3 }, { "source": "NIDA_indept.Rmd", "filename": "NIDA_indept.html", "title": "NIDA_indept", "engine": "knitr::rmarkdown", "headings": [ "Load the spatial rotation data", "(1) Simulate responses and response times based on the NIDA model", "(2) Run the MCMC to sample parameters from the posterior distribution", "(3) Check for parameter estimation accuracy", "(4) Evaluate the fit of the model to the observed response" ], "created": "2022-07-20 20:33:50", "modified": "2023-01-20 23:42:03", "commits": 3 }, { "source": "rRUM_indept.Rmd", "filename": "rRUM_indept.html", "title": "rRUM_indept", "engine": "knitr::rmarkdown", "headings": [ "Load the spatial rotation data", "(1) Simulate responses and response times based on the rRUM model", "(2) Run the MCMC to sample parameters from the posterior distribution", "(3) Check for parameter estimation accuracy", "(4) Evaluate the fit of the model to the observed response" ], "created": "2022-07-20 20:33:50", "modified": "2023-01-20 23:42:03", "commits": 3 } ], "_score": 6.096214585346405, "_indexed": true, "_nocasepkg": "hmcdm", "_universes": [ "tmsalab", "sunbeomk" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "2.1.3", "date": "2026-05-16T09:38:49.000Z", "distro": "noble", "arch": "aarch64", "commit": "0edc943f20c5eda9a7c332d1aa8344118350337a", "fileid": "dab3633739b018cb6856a83268e9dc2c6c1a2b69b3f3cf319fc8c92ab8dab7b1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486" }, { "r": "4.7.0", "os": "linux", "version": "2.1.3", "date": "2026-05-16T09:39:00.000Z", "distro": "noble", "arch": "x86_64", "commit": "0edc943f20c5eda9a7c332d1aa8344118350337a", "fileid": "11e94e27d91e39d20a201f98a4ecce7ff10eedfcf06269315a7484156fea1151", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486" }, { "r": "4.6.0", "os": "linux", "version": "2.1.3", "date": "2026-05-16T09:39:34.000Z", "distro": "noble", "arch": "aarch64", "commit": "0edc943f20c5eda9a7c332d1aa8344118350337a", "fileid": "6c8c2f5f3ef40e7f6016b83c73db9ec90c95918cd50aba6e732c17fd02f469cf", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486" }, { "r": "4.6.0", "os": "linux", "version": "2.1.3", "date": "2026-05-16T09:38:50.000Z", "distro": "noble", "arch": "x86_64", "commit": "0edc943f20c5eda9a7c332d1aa8344118350337a", "fileid": "4187aebb179e6c59a59bac7f801a61d2edf100ff01a66f24fe2914791989af71", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486" }, { "r": "4.5.3", "os": "mac", "version": "2.1.3", "date": "2026-05-16T09:38:15.000Z", "arch": "aarch64", "commit": "0edc943f20c5eda9a7c332d1aa8344118350337a", "fileid": "196e40c7769f8b3eeacee678b8dc97bbaeb86f72c713c02fca35ff5302d9b0c6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486" }, { "r": "4.5.3", "os": "mac", "version": "2.1.3", "date": "2026-05-16T09:39:50.000Z", "arch": "x86_64", "commit": "0edc943f20c5eda9a7c332d1aa8344118350337a", "fileid": "17c54d0548e9a292fb34f71cfcf1e79ef5744d516ab70f7bfc7166a0ab09f51e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486" }, { "r": "4.6.0", "os": "mac", "version": "2.1.3", "date": "2026-05-16T09:38:58.000Z", "arch": "aarch64", "commit": "0edc943f20c5eda9a7c332d1aa8344118350337a", "fileid": "8d2fca76d3675112223588930d8d5605ccc862510ee3a0436b79d796c8556bd8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486" }, { "r": "4.6.0", "os": "mac", "version": "2.1.3", "date": "2026-05-16T09:39:27.000Z", "arch": "x86_64", "commit": "0edc943f20c5eda9a7c332d1aa8344118350337a", "fileid": "99aa27c6ca61e860238c3ac9db69988e4774587ccb5628125f13c2a2bf61706f", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486" }, { "r": "4.7.0", "os": "win", "version": "2.1.3", "date": "2026-05-16T09:38:04.000Z", "arch": "x86_64", "commit": "0edc943f20c5eda9a7c332d1aa8344118350337a", "fileid": "0339acb59607a1221ff2da97fae687f9f9d431fd311aa57e2a8d0f8a38169478", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486" }, { "r": "4.5.3", "os": "win", "version": "2.1.3", "date": "2026-05-16T09:38:02.000Z", "arch": "x86_64", "commit": "0edc943f20c5eda9a7c332d1aa8344118350337a", "fileid": "1bce5cccbec1228ea3221ea885743a6ec5a07cd6bd8d579f9c1454c031d9ea6f", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486" }, { "r": "4.6.0", "os": "win", "version": "2.1.3", "date": "2026-05-16T09:38:06.000Z", "arch": "x86_64", "commit": "0edc943f20c5eda9a7c332d1aa8344118350337a", "fileid": "9294609c6b7d50dce1b551a23e3475cc7512bbe472377ca58d3b51007d0d1108", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486" }, { "r": "4.6.0", "os": "wasm", "version": "2.1.3", "date": "2026-06-02T18:01:11.000Z", "arch": "emscripten", "commit": "0edc943f20c5eda9a7c332d1aa8344118350337a", "fileid": "63493ae8481c49af8f231b7f6a7d7b0e4b095b1622042dcdc0b8f28cc3dc2a13", "status": "success", "buildurl": "https://github.com/r-universe/tmsalab/actions/runs/25958474486" } ] }