Package: missingmed 0.2.0

missingmed: Mediation Analysis with Multiple Imputation for Missing Data

Provides S4 classes and methods for conducting mediation analysis with multiply imputed datasets. Integrates with the 'mice' package for multiple imputation and supports structural equation modeling (SEM) using either 'lavaan' or 'OpenMx'. Implements Rubin's rules for pooling parameter estimates and standard errors across imputations. Designed to work seamlessly with 'RMediation' for computing confidence intervals of indirect effects in the presence of missing data.

Authors:Davood Tofighi [aut, cre]

missingmed_0.2.0.tar.gz
missingmed_0.2.0.zip(r-4.7)missingmed_0.2.0.zip(r-4.6)missingmed_0.2.0.zip(r-4.5)
missingmed_0.2.0.tgz(r-4.6-any)missingmed_0.2.0.tgz(r-4.5-any)
missingmed_0.2.0.tar.gz(r-4.7-any)missingmed_0.2.0.tar.gz(r-4.6-any)
missingmed_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
missingmed/json (API)
NEWS

# Install 'missingmed' in R:
install.packages('missingmed', repos = c('https://data-wise.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/data-wise/missingmed/issues

Pkgdown/docs site:https://data-wise.github.io

On CRAN:

Conda:

3.78 score 3 scripts 24 exports 77 dependencies

Last updated from:3569e7ecda (on dev). Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK194
source / vignettesOK252
linux-release-x86_64OK208
macos-release-arm64OK147
macos-oldrel-arm64OK132
windows-develOK165
windows-releaseOK141
windows-oldrelOK146
wasm-releaseOK155

Exports:fit_modelinferis_fitis_lav_syntaxis_pdis_valid_lav_syntaxlav_miceMDMediationDataMDMediationFitMDMediationResultmx_micen_impn_imputationsper_imputation_listpoolpool_semrunrun_semSemResultsset_md_mediationset_semshowsummarytidy

Dependencies:backportsBHbitbit64bootbroomcheckmateclicliprcodetoolscpp11crayondigestdplyrforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelavaanlifecyclelme4magrittrMASSMatrixmedfitmiceminqamitmlmnormtmvtnormnlmenloptrnnetnumDerivOpenMxordinalpanpbivnormpillarpkgconfigprettyunitsprogresspurrrquadprogR6rbibutilsRcppRcppEigenRcppParallelRdpackreadrreformulasrlangRMediationrpartrpfS7shapeStanHeadersstringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr

Getting started with missingmed

Rendered frommissingmed.Rmdusingknitr::rmarkdownon Jun 12 2026.

Last update: 2026-06-12
Started: 2026-06-12

MBCO under multiple imputation (D4-stacked)

Rendered frommbco-mi.Rmdusingknitr::rmarkdownon Jun 12 2026.

Last update: 2026-06-12
Started: 2026-06-12

Technical reference: design, contracts, and methodology

Rendered fromtechnical.Rmdusingknitr::rmarkdownon Jun 12 2026.

Last update: 2026-06-12
Started: 2026-06-12

Readme and manuals

Help Manual

Help pageTopics
Fit a Structural Equation Modelfit_model
Inference on the indirect effect under multiple imputationinfer
Determine If a SEM Model Has Been FittedANY-method is_fit is_fit,ANY-method is_fit,lavaan-method is_fit,MxModel-method
Function to check if lavaan model syntax is validis_lavaan is_lav_syntax
Checks if a matrix object is positive definiteis_pd is_pd,matrix-method
Function to check if lavaan model syntax is validis_valid_lav_syntax valid_lav_syntax
Fit SEM Model to Each Dataset in a MIDS Object Without Poolinglav_mice
MDMediationData: imputed data + mediation specification (S7)MDMediationData
MDMediationFit: per-imputation mediation fits (S7)MDMediationFit
MDMediationResult: pooled mediation result (S7)MDMediationResult
Fit OpenMx model to multiply imputed datasetsmx_mice
Get Number of Imputations from a mids Objectn_imp n_imp,mids-method
Number of imputationsn_imputations
Access the per-imputation mediation fits (for MBCO)per_imputation_list
Pool per-imputation mediation fits with Rubin's rulespool
Pool SEM Analysis Resultspool_sem pool_sem,SemResults-method
Pooled SEM Analysis Results ClassPooledSEMResults PooledSEMResults-class
Fit the mediation model across imputationsrun
Run a SEM modelrun_sem run_sem,SemImputedData-method
SemImputedData ClassSemImputedData SemImputedData-class
SemResults ClassSemResults SemResults-class
Set up a mediation analysis with missing data (MI or IPW)set_md_mediation
Set up an SEM model with multiply imputed data.set_sem set_sem,mids-method
Show SemImputedDatashow,SemImputedData-method
Summary Method for SemImputedData Objectssummary,SemImputedData-method
Creates a data.frame for a log-likelihood objecttidy.logLik
Tidy an MxModel Objecttidy.MxModel