Package: BayesianMediationA 1.0.1
BayesianMediationA: Bayesian Mediation Analysis
We perform general mediation analysis in the Bayesian setting using the methods described in Yu and Li (2022, ISBN:9780367365479). With the package, the mediation analysis can be performed on different types of outcomes (e.g., continuous, binary, categorical, or time-to-event), with default or user-defined priors and predictive models. The Bayesian estimates and credible sets of mediation effects are reported as analytic results.
Authors:
BayesianMediationA_1.0.1.tar.gz
BayesianMediationA_1.0.1.zip(r-4.7)BayesianMediationA_1.0.1.zip(r-4.6)BayesianMediationA_1.0.1.zip(r-4.5)
BayesianMediationA_1.0.1.tgz(r-4.6-any)BayesianMediationA_1.0.1.tgz(r-4.5-any)
BayesianMediationA_1.0.1.tar.gz(r-4.7-any)BayesianMediationA_1.0.1.tar.gz(r-4.6-any)
BayesianMediationA_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesianMediationA/json (API)
| # Install 'BayesianMediationA' in R: |
| install.packages('BayesianMediationA', repos = c('https://qingzhaoyu.r-universe.dev', 'https://cloud.r-project.org')) |
- jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
- c++– GNU Standard C++ Library v3
- weight_behavior - Weight_Behavior Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:30a4a0cde8. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 195 | ||
| source / vignettes | OK | 248 | ||
| linux-release-x86_64 | NOTE | 146 | ||
| macos-release-arm64 | NOTE | 190 | ||
| macos-oldrel-arm64 | NOTE | 110 | ||
| windows-devel | NOTE | 183 | ||
| windows-release | NOTE | 115 | ||
| windows-oldrel | NOTE | 122 | ||
| wasm-release | OK | 122 |
Exports:bma.bx.cydata_orgprint.summary.bmasummary.bma.bx.cy
Dependencies:abindbackportsbitopsbootbroomcarcarDatacaToolsclicodacolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR2jagsR2WinBUGSR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrjagsrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Mediation Analysis Package | BayesianMediationA-package BayesianMediationA |
| Bayesian Mediation Analysis | bma.bx.cy |
| Data Organization | data_org |
| Print the results from the summary function. | print.summary.bma |
| Summary function for the bma.bx.cy object | summary.bma.bx.cy |
| Weight_Behavior Data Set | weight_behavior |
