robumeta
Robust Variance Meta-Regression
Functions for conducting robust variance estimation (RVE) meta-regression using both large and small sample RVE estimators under various weighting schemes. These methods are distribution free and provide valid point estimates, standard errors and hypothesis tests even when the degree and structure of dependence between effect sizes is unknown. Also included are functions for conducting sensitivity analyses under correlated effects weighting and producing RVE-based forest plots.
- Version2.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release03/28/2023
Documentation
Team
Zachary Fisher
Elizabeth Tipton
Show author detailsRolesAuthorHou Zhipeng
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 2,058 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 76 times.
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 22,529 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Mar 28, 2025 with 153 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.
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Dependencies
- Suggests2 packages
- Reverse Imports4 packages
- Reverse Suggests2 packages