CompositionalRF

Multivariate Random Forest with Compositional Responses

CRAN Package

Non linear regression with compositional responses and Euclidean predictors is performed. The compositional data are first transformed using the additive log-ratio transformation, and then the multivariate random forest of Rahman R., Otridge J. and Pal R. (2017), doi:10.1093/bioinformatics/btw765, is applied.


Team


Insights

Last 30 days

This package has been downloaded 174 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 10 times.

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0 downloadsMar 2, 2025
5 downloadsMar 3, 2025
11 downloadsMar 4, 2025
5 downloadsMar 5, 2025
3 downloadsMar 6, 2025
7 downloadsMar 7, 2025
2 downloadsMar 8, 2025
2 downloadsMar 9, 2025
5 downloadsMar 10, 2025
9 downloadsMar 11, 2025
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3 downloadsMar 13, 2025
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5 downloadsMar 17, 2025
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4 downloadsMar 19, 2025
14 downloadsMar 20, 2025
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4 downloadsMar 22, 2025
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6 downloadsMar 24, 2025
9 downloadsMar 25, 2025
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3 downloadsMar 27, 2025
2 downloadsMar 28, 2025
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5 downloadsMar 30, 2025
2 downloadsMar 31, 2025
10 downloadsApr 1, 2025
0 downloadsApr 2, 2025
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0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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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 1,149 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Oct 05, 2024 with 36 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

  • Imports5 packages