About midoc | Step 1 Specify the analysis and missingness models using a directed acyclic graph | Step 2 Check whether complete records analysis is likely to be a valid strategy | Step 3 Check whether multiple imputation is likely to be a valid strategy | Step 4 Check that all relationships are correctly specified | Step 5 Perform MI using the proposed imputation model | Illustration using our worked example
Package: midoc 1.0.0.9000
Elinor Curnow
midoc: A Decision-Making System for Multiple Imputation
A guidance system for analysis with missing data. It incorporates expert, up-to-date methodology to help researchers choose the most appropriate analysis approach when some data are missing. You provide the available data and the assumed causal structure, including the likely causes of missing data. 'midoc' will advise which analysis approaches can be used, and how best to perform them. 'midoc' follows the framework for the treatment and reporting of missing data in observational studies (TARMOS). Lee et al (2021). <doi:10.1016/j.jclinepi.2021.01.008>.
Authors:
midoc_1.0.0.9000.tar.gz
midoc_1.0.0.9000.zip(r-4.7)midoc_1.0.0.9000.zip(r-4.6)midoc_1.0.0.9000.zip(r-4.5)
midoc_1.0.0.9000.tgz(r-4.6-any)midoc_1.0.0.9000.tgz(r-4.5-any)
midoc_1.0.0.9000.tar.gz(r-4.7-any)midoc_1.0.0.9000.tar.gz(r-4.6-any)
midoc_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
midoc/json (API)
| # Install 'midoc' in R: |
| install.packages('midoc', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/elliecurnow/midoc/issues
Pkgdown/docs site:https://elliecurnow.github.io
Datasets:
missing-datamultiple-imputation
Last updated from:455407c7e9. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 189 | ||
| source / vignettes | OK | 234 | ||
| linux-release-x86_64 | OK | 183 | ||
| macos-release-arm64 | OK | 131 | ||
| macos-oldrel-arm64 | OK | 100 | ||
| windows-devel | OK | 133 | ||
| windows-release | OK | 108 | ||
| windows-oldrel | OK | 106 | ||
| wasm-release | OK | 178 |
Exports:checkCRAcheckMIcheckModSpecdescMissDatadoMImicedoMNARMImicedoRefBasedMIexploreDAGmidocShinyAppmidocVignetteproposeMI
Dependencies:abindarmassertthatbackportsbase64encbitbit64blorrbootbroombslibcachemcarcarDatacheckmateclicliprclustercodacodetoolscolorspacecommonmarkcowplotcpp11crayoncurldagittydata.tableDerivdigestdoBydplyrevaluatefarverfastmapfontawesomeforcatsforeachforecastforeignFormulafracdifffsgenericsggplot2glmnetgluegridExtragtablehavenhighrHmischmshtmlTablehtmltoolshtmlwidgetshttpuvisobanditeratorsjomojquerylibjsonliteknitrlabelinglaterlatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemfp2mgcvmicemicrobenchmarkmimeminqamitmlmodelrnlmenloptrnnetnumDerivordinalotelpanpastecspbkrtestpillarpkgconfigprettyunitsprogresspromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrRefBasedMIreformulasrlangrmarkdownrpartrstudioapiS7sassscalesshapeshinysourcetoolsSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytextzdbucminfurcautf8V8vctrsviridisLitevroomwithrxfunxtableyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Administrative data | adr |
| Adapted Self-Report Delinquency Scale data | asrds |
| Child body mass index data | bmi |
| Inspect complete records analysis model | checkCRA |
| Inspect multiple imputation model | checkMI |
| Specify and inspect parametric model specification | checkModSpec |
| Lists missing data patterns in the specified dataset | descMissData |
| Performs multiple imputation | doMImice |
| Performs not-at-random multiple imputation | doMNARMImice |
| Performs reference-based multiple imputation | doRefBasedMI |
| Compares data with proposed DAG | exploreDAG |
| Run a browser-based version of the midoc package | midocShinyApp |
| Run an interactive vignette for the midoc package | midocVignette |
| Suggests multiple imputation options | proposeMI |
| Randomised controlled trial data | qol |
