{ "_id": "6acec47bd9de2f3f33fc7b1d", "Package": "missingHE", "Type": "Package", "Title": "Missing Cost Effectiveness Models", "Version": "1.6.2", "Description": "Performs Bayesian cost-effectiveness analysis with missing\noutcome data. Three classes of models can be fitted under a\nvariety of missing data assumptions: selection models, pattern\nmixture models and hurdle models. The package allows to assess\nmodel convergence and summarise the statistical and economic\nresults using different types of measures and graphs. The\nmethods implemented are described in Mason (2018)\n, Molenberghs (2000)\n and Gabrio (2019)\n.", "Authors@R": "person(\"Andrea\", \"Gabrio\", email = \"a.gabrio@maastrichtuniversity.nl\", role = c(\"aut\", \"cre\", \"cph\"), comment = c(ORCID = \"0000-0002-7650-4534\"))", "VignetteBuilder": "knitr", "URL": "https://github.com/AnGabrio/missingHE", "License": "GPL-2", "Encoding": "UTF-8", "BugReports": "https://github.com/AnGabrio/missingHE/issues/", "LazyData": "true", "Config/roxygen2/version": "8.1.0", "Maintainer": "Andrea Gabrio ", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-13 23:48:23 UTC", "User": "root" }, "Author": "Andrea Gabrio [aut, cre, cph] (ORCID:\n)", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-10-13 16:10:02 UTC", "RemoteUrl": "https://github.com/cran/missingHE", "RemoteRef": "HEAD", "RemoteSha": "35b5effb5d121a3b48cea45a10eb604fb657dd27", "_user": "cran", "_type": "src", "_file": "missingHE_1.6.2.tar.gz", "_fileid": "https://r2.ropensci.org/8c1a5c33d4b5f6301917cf7aa013e2a1cb4cbcc99819da8410b7ee36c955c856", "_filesize": 8939497, "_sha256": "8c1a5c33d4b5f6301917cf7aa013e2a1cb4cbcc99819da8410b7ee36c955c856", "_expires": "2027-01-21T23:53:29.000Z", "_created": "2026-10-13T23:48:23.000Z", "_published": "2026-10-13T23:53:31.689Z", "_buildurl": "https://github.com/r-universe/cran/actions/runs/38485728250", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 115601436180, "time": 187, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11859054691" }, { "job": 115601436171, "time": 231, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11860326180" }, { "job": 115598903926, "time": 467, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11860186823" }, { "job": 115601436341, "time": 169, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11859608289" }, { "job": 115601436283, "time": 131, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11859848083" }, { "job": 115601436292, "time": 125, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11860017969" } ], "_upstream": "https://github.com/cran/missingHE", "_commit": { "id": "35b5effb5d121a3b48cea45a10eb604fb657dd27", "author": "Andrea Gabrio ", "committer": "cran-robot ", "message": "version 1.6.2\n", "time": 1791907802 }, "_maintainer": { "name": "Andrea Gabrio", "email": "a.gabrio@maastrichtuniversity.nl", "login": "angabrio", "description": "My main areas of interest in research include Health Economic Evaluations, Bayesian statistics and methodology for handling missing data ", "uuid": 30290038, "orcid": "0000-0002-7650-4534" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "ggpubr", "role": "Imports" }, { "package": "ggmcmc", "role": "Imports" }, { "package": "ggthemes", "role": "Imports" }, { "package": "BCEA", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "bayesplot", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "R2jags", "role": "Imports" }, { "package": "loo", "role": "Imports" }, { "package": "coda", "role": "Imports" }, { "package": "mcmcr", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "bookdown", "role": "Suggests" }, { "package": "devtools", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2026-12", "n": 1 }, { "week": "2026-23", "n": 1 }, { "week": "2026-42", "n": 1 } ], "_tags": [ { "name": "1.6.0", "date": "2026-03-19" }, { "name": "1.6.1", "date": "2026-06-01" }, { "name": "1.6.2", "date": "2026-10-13" } ], "_stars": 1, "_contributors": [ { "user": "angabrio", "count": 12, "uuid": 30290038 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 630, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 466, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/missingHE" }, "_devurl": "https://github.com/angabrio/missinghe", "_searchresults": 40, "_topics": [ "jags", "cpp" ], "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/missingHE.html" ], "_homeurl": "https://github.com/angabrio/missinghe", "_realowner": "angabrio", "_cranurl": false, "_releases": [ { "version": "1.0.0", "date": "2019-05-03" }, { "version": "1.0.1", "date": "2019-06-05" }, { "version": "1.1.1", "date": "2019-06-23" }, { "version": "1.2.1", "date": "2019-09-21" }, { "version": "1.3.2", "date": "2020-01-08" }, { "version": "1.4.0", "date": "2020-04-29" }, { "version": "1.4.1", "date": "2020-06-25" }, { "version": "1.5.0", "date": "2023-03-21" }, { "version": "1.5.1", "date": "2025-07-02" }, { "version": "1.6.0", "date": "2026-03-19" }, { "version": "1.6.1", "date": "2026-06-01" }, { "version": "1.6.2", "date": "2026-10-13" } ], "_exports": [ "data_read_hurdle", "data_read_lmdm", "data_read_pattern", "data_read_selection", "diagnostic", "hurdle", "jagsresults", "lmdm", "pattern", "pic", "postsum", "ppc", "selection" ], "_datasets": [ { "name": "MenSS", "title": "MenSS economic data on STIs", "object": "MenSS", "class": [ "data.frame" ], "fields": [ "id", "u.0", "e", "c", "age", "ethnicity", "employment", "sex_inst.0", "sex_inst", "sti.0", "sti", "site", "trt" ], "rows": 159, "table": true, "tojson": true }, { "name": "PBS", "title": "PBS economic data on intellectual disability and challenging behaviour", "object": "PBS", "class": [ "data.frame" ], "fields": [ "id", "time", "e", "c", "age", "gender", "ethnicity", "living", "carer", "marital", "disability", "site", "trt" ], "rows": 732, "table": true, "tojson": true } ], "_help": [ { "page": "coef.missingHE", "title": "Extract regression coefficient estimates from objects in the class 'missingHE'", "topics": [ "coef.missingHE" ] }, { "page": "diagnostic", "title": "Diagnostic checks for assessing MCMC convergence of Bayesian models fitted in 'JAGS' using the function 'selection', 'pattern', 'hurdle' or 'lmdm'.", "topics": [ "diagnostic" ] }, { "page": "hurdle", "title": "Full Bayesian Models to handle missingness in Economic Evaluations (Hurdle Models)", "topics": [ "hurdle" ] }, { "page": "lmdm", "title": "Full Bayesian Models to handle missingness in Economic Evaluations (Longitudinal Missing Data Models)", "topics": [ "lmdm" ] }, { "page": "MenSS", "title": "MenSS economic data on STIs", "topics": [ "MenSS" ] }, { "page": "pattern", "title": "Full Bayesian Models to handle missingness in Economic Evaluations (Pattern Mixture Models)", "topics": [ "pattern" ] }, { "page": "PBS", "title": "PBS economic data on intellectual disability and challenging behaviour", "topics": [ "PBS" ] }, { "page": "pic", "title": "Predictive information criteria for Bayesian models fitted in 'JAGS' using the function 'selection', 'pattern', 'hurdle' or 'lmdm'", "topics": [ "pic" ] }, { "page": "plot.missingHE", "title": "Plot method for the imputed data contained in the objects of class 'missingHE'", "topics": [ "plot.missingHE" ] }, { "page": "postsum", "title": "Postsum method for inspecting summary posterior estimates of a Bayesian model fitted in JAGS", "topics": [ "postsum", "postsum.missingHE" ] }, { "page": "ppc", "title": "Posterior predictive checks for assessing the fit to the observed data of Bayesian models implemented in 'JAGS' using the function 'selection', 'pattern', 'hurdle' or 'lmdm'", "topics": [ "ppc" ] }, { "page": "print.missingHE", "title": "Print method for objects in the class 'missingHE'", "topics": [ "print.missingHE" ] }, { "page": "selection", "title": "Full Bayesian Models to handle missingness in Economic Evaluations (Selection Models)", "topics": [ "selection" ] }, { "page": "summary.missingHE", "title": "Summary method for objects in the class 'missingHE'", "topics": [ "summary.missingHE" ] } ], "_rundeps": [ "abind", "askpass", "backports", "base64enc", "bayesplot", "BCEA", "boot", "broom", "bslib", "cachem", "car", "carData", "checkmate", "chk", "cli", "coda", "colorspace", "corrplot", "cowplot", "cpp11", "crayon", "crosstalk", "curl", "data.table", "dbarts", "Deriv", "digest", "distributional", "doBy", "dplyr", "earth", "evaluate", "extras", "farver", "fastmap", "fontawesome", "forcats", "forecast", "Formula", "fracdiff", "fs", "generics", "GGally", "ggdist", "ggmcmc", "ggplot2", "ggpubr", "ggrepel", "ggridges", "ggsci", "ggsignif", "ggstats", "ggthemes", "glue", "gridExtra", "gtable", "highr", "hms", "htmltools", "htmlwidgets", "httr", "isoband", "jquerylib", "jsonlite", "knitr", "labeling", "later", "lattice", "lazyeval", "lifecycle", "lme4", "lmtest", "loo", "magrittr", "MASS", "Matrix", "MatrixModels", "matrixStats", "mcmcr", "memoise", "mgcv", "mime", "minqa", "modelr", "mvtnorm", "nlist", "nlme", "nloptr", "nnet", "numDeriv", "openssl", "otel", "patchwork", "pbkrtest", "pillar", "pkgconfig", "plotly", "plotmo", "plotrix", "plyr", "polynom", "posterior", "prettyunits", "progress", "promises", "purrr", "quadprog", "quantreg", "R2jags", "R2WinBUGS", "R6", "rappdirs", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "Rdpack", "reformulas", "reshape2", "rjags", "rlang", "rmarkdown", "rstatix", "S7", "sass", "scales", "SparseM", "stringi", "stringr", "survival", "sys", "tensorA", "term", "tibble", "tidyr", "tidyselect", "timeDate", "tinytex", "universals", "urca", "utf8", "vctrs", "viridisLite", "voi", "withr", "xfun", "yaml", "zoo" ], "_sysdeps": [ { "shlib": "libjags", "package": "jags", "headers": "jags", "source": "jags", "version": "4.3.2-2.2604.0", "name": "jags", "homepage": "https://mcmc-jags.sourceforge.io", "description": "Just Another Gibbs Sampler for Bayesian MCMC - binary" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "16-20260322-1ubuntu1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" } ], "_vignettes": [ { "source": "Fitting_MNAR_models_in_missingHE.Rmd", "filename": "Fitting_MNAR_models_in_missingHE.html", "title": "Fitting MNAR models in missingHE", "engine": "knitr::rmarkdown", "headings": [ "Handling MNAR using selection models", "Handling MNAR using pattern mixture models", "Handling MNAR using hurdle models" ], "created": "2020-06-25 20:40:02", "modified": "2026-10-13 16:10:02", "commits": 5 }, { "source": "Introduction_to_missingHE.Rmd", "filename": "Introduction_to_missingHE.html", "title": "Introduction to missingHE", "engine": "knitr::rmarkdown", "headings": [ "Modelling Framework", "Missingness Approach", "Selection Models", "Pattern Mixture Models", "Hurdle Models", "The MenSS trial", "Model fitting", "Fitting models under MAR", "Model assessment", "Convergence diagnostics", "Posterior predictive checks", "Predictive information criteria", "Results inspection", "Summarise parameter estimates", "Inspect imputed values", "Summarise health economic results", "Probabilistic sensitivity analysis" ], "created": "2020-06-25 20:40:02", "modified": "2026-10-13 16:10:02", "commits": 5 }, { "source": "Longitudinal_models_in_missingHE.Rmd", "filename": "Longitudinal_models_in_missingHE.html", "title": "Longitudinal models in missingHE", "engine": "knitr::rmarkdown", "headings": [ "Modelling Framework", "Missingness Approach", "The PBS trial", "Model fitting", "Fitting models under MAR", "Model assessment", "Convergence diagnostics", "Posterior predictive checks", "Predictive information criteria", "Results inspection", "Summarise parameter estimates", "Inspect imputed values", "Summarise health economic results", "Probabilistic sensitivity analysis" ], "created": "2023-03-21 07:50:02", "modified": "2026-10-13 16:10:02", "commits": 4 }, { "source": "Model_customisation_in_missingHE.Rmd", "filename": "Model_customisation_in_missingHE.html", "title": "Model and output customisation in missingHE", "engine": "knitr::rmarkdown", "headings": [ "Modelling assumptions", "Outcome distribution", "Missingness mechanism", "Outcome model structure", "Prior distributions", "Conclusions" ], "created": "2020-06-25 20:40:02", "modified": "2026-10-13 16:10:02", "commits": 5 } ], "_score": 3.6812412373755876, "_indexed": false, "_nocasepkg": "missinghe", "_universes": [ "cran" ], "_indexurl": "https://angabrio.r-universe.dev/missingHE", "_previous": "1.6.1", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.6.2", "date": "2026-10-13T23:51:20.000Z", "distro": "resolute", "commit": "35b5effb5d121a3b48cea45a10eb604fb657dd27", "fileid": "https://r2.ropensci.org/683082317c467a432308656a784a48c965dc8cdfe46bd633389215a48d7ab0a3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/38485728250" }, { "r": "4.6.1", "os": "linux", "version": "1.6.2", "date": "2026-10-13T23:51:35.000Z", "distro": "resolute", "commit": "35b5effb5d121a3b48cea45a10eb604fb657dd27", "fileid": "https://r2.ropensci.org/dc2247c1debd3a56c54ed7d8173c11c7499d3b4fc01abde16039796156b39d73", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/38485728250" }, { "r": "4.6.0", "os": "wasm", "version": "1.6.2", "date": "2026-10-13T23:51:57.000Z", "commit": "35b5effb5d121a3b48cea45a10eb604fb657dd27", "fileid": "https://r2.ropensci.org/7c4dbfcc467006b156771b0d54fdc2cdf040f9cd0ed484f18b53a15f19398cf4", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/38485728250" }, { "r": "4.7.0", "os": "win", "version": "1.6.2", "date": "2026-10-13T23:50:20.000Z", "commit": "35b5effb5d121a3b48cea45a10eb604fb657dd27", "fileid": "https://r2.ropensci.org/4443352510919b6f2fbe1f908f84bd7b1dca8920809317284c028c11722869af", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/38485728250" }, { "r": "4.6.1", "os": "win", "version": "1.6.2", "date": "2026-10-13T23:50:17.000Z", "commit": "35b5effb5d121a3b48cea45a10eb604fb657dd27", "fileid": "https://r2.ropensci.org/de22634b262736e69c66f3e50a6c98c374ba49f1cf8e9c73a55b0005fee5a108", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/38485728250" } ] }