metamicrobiomeR

Microbiome Data Analysis & Meta-Analysis with GAMLSS-BEZI & Random Effects

CRAN Package

Generalized Additive Model for Location, Scale and Shape (GAMLSS) with zero inflated beta (BEZI) family for analysis of microbiome relative abundance data (with various options for data transformation/normalization to address compositional effects) and random effects meta-analysis models for meta-analysis pooling estimates across microbiome studies are implemented. Random Forest model to predict microbiome age based on relative abundances of shared bacterial genera with the Bangladesh data (Subramanian et al 2014), comparison of multiple diversity indexes using linear/linear mixed effect models and some data display/visualization are also implemented. The reference paper is published by Ho NT, Li F, Wang S, Kuhn L (2019) doi:10.1186/s12859-019-2744-2.


Documentation


Team


Insights

Last 30 days

This package has been downloaded 156 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 3 times.

Sun
Mon
Tue
Wed
Thu
Fri
Sat
0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
0 downloadsMar 4, 2025
6 downloadsMar 5, 2025
4 downloadsMar 6, 2025
3 downloadsMar 7, 2025
2 downloadsMar 8, 2025
0 downloadsMar 9, 2025
3 downloadsMar 10, 2025
10 downloadsMar 11, 2025
4 downloadsMar 12, 2025
5 downloadsMar 13, 2025
2 downloadsMar 14, 2025
7 downloadsMar 15, 2025
5 downloadsMar 16, 2025
2 downloadsMar 17, 2025
9 downloadsMar 18, 2025
8 downloadsMar 19, 2025
10 downloadsMar 20, 2025
8 downloadsMar 21, 2025
5 downloadsMar 22, 2025
4 downloadsMar 23, 2025
6 downloadsMar 24, 2025
5 downloadsMar 25, 2025
3 downloadsMar 26, 2025
3 downloadsMar 27, 2025
6 downloadsMar 28, 2025
6 downloadsMar 29, 2025
4 downloadsMar 30, 2025
1 downloadsMar 31, 2025
9 downloadsApr 1, 2025
13 downloadsApr 2, 2025
3 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
0
13

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 2,429 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 70 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

  • Depends1 package
  • Imports12 packages
  • Suggests16 packages