mvnimpute

Implementing a multiple imputation algorithm for multivariate data with missing and censored values under a coarsening at random assumption (Heitjan and Rubin, 1991[doi:10.1214/aos/1176348396]). The multiple imputation algorithm is based on the data augmentation algorithm proposed by Tanner and Wong (1987)[doi:10.1080/01621459.1987.10478458]. The Gibbs sampling algorithm is adopted to to update the model parameters and draw imputations of the coarse data.

Last 30 days

This package has been downloaded 120 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 3 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 1,833 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 69 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.