MHTrajectoryR

Bayesian Model Selection in Logistic Regression for the Detection of Adverse Drug Reactions

CRAN Package

Spontaneous adverse event reports have a high potential for detecting adverse drug reactions. However, due to their dimension, the analysis of such databases requires statistical methods. We propose to use a logistic regression whose sparsity is viewed as a model selection challenge. Since the model space is huge, a Metropolis-Hastings algorithm carries out the model selection by maximizing the BIC criterion.


Team


Insights

Last 30 days

This package has been downloaded 124 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.

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

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 1,656 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 Sep 11, 2024 with 24 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

  • Imports1 package