grmsem
Genetic-Relationship-Matrix Structural Equation Modelling (GRMSEM)
Quantitative genetics tool supporting the modelling of multivariate genetic variance structures in quantitative data. It allows fitting different models through multivariate genetic-relationship-matrix (GRM) structural equation modelling (SEM) in unrelated individuals, using a maximum likelihood approach. Specifically, it combines genome-wide genotyping information, as captured by GRMs, with twin-research-based SEM techniques, St Pourcain et al. (2017) doi:10.1016/j.biopsych.2017.09.020, Shapland et al. (2020) doi:10.1101/2020.08.14.251199.
- Version1.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release01/29/2021
Documentation
Team
Beate StPourcain
Alexander Klassmann
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Insights
Last 30 days
This package has been downloaded 136 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 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 1,805 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 22 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
- Imports3 packages
- Suggests4 packages