BayesSenMC
Different Models of Posterior Distributions of Adjusted Odds Ratio
Generates different posterior distributions of adjusted odds ratio under different priors of sensitivity and specificity, and plots the models for comparison. It also provides estimations for the specifications of the models using diagnostics of exposure status with a non-linear mixed effects model. It implements the methods that are first proposed in doi:10.1016/j.annepidem.2006.04.001 and doi:10.1177/0272989X09353452.
- Version0.1.5
- R version≥ 3.4.0
- LicenseGPL-2
- Needs compilation?Yes
- Last release08/06/2022
Team
Jinhui Yang
Lifeng Lin
Haitao Chu
Insights
Last 30 days
This package has been downloaded 292 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 12 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 3,389 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 May 08, 2024 with 32 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
- Imports7 packages
- Linking To6 packages