bmem

Mediation Analysis with Missing Data Using Bootstrap

CRAN Package

Four methods for mediation analysis with missing data: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included. Bootstrap confidence intervals for mediation effects are obtained. The robust method is also implemented for TS-ML. Since version 1.4, bmem adds the capability to conduct power analysis for mediation models. Details about the methods used can be found in these articles. Zhang and Wang (2003) doi:10.1007/s11336-012-9301-5. Zhang (2014) doi:10.3758/s13428-013-0424-0.

  • Version2.1
  • R version≥ 1.7
  • LicenseGPL-2
  • Needs compilation?No
  • Last release08/27/2023

Documentation


Team


Insights

Last 30 days

This package has been downloaded 431 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 15 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
17 downloadsMar 4, 2025
29 downloadsMar 5, 2025
6 downloadsMar 6, 2025
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5 downloadsMar 8, 2025
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25 downloadsMar 11, 2025
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37 downloadsMar 16, 2025
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8 downloadsMar 27, 2025
31 downloadsMar 28, 2025
5 downloadsMar 29, 2025
12 downloadsMar 30, 2025
7 downloadsMar 31, 2025
12 downloadsApr 1, 2025
15 downloadsApr 2, 2025
0 downloadsApr 3, 2025
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0 downloadsApr 5, 2025
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37

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 5,354 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 11, 2024 with 48 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Depends3 packages
  • Imports2 packages