BNSP

MCMC algorithms & processing functions for: 1. single response multiple regression, see Papageorgiou, G. (2018) doi:10.32614/RJ-2018-069, 2. multivariate response multiple regression, with nonparametric models for the means, the variances and the correlation matrix, with variable selection, see Papageorgiou, G. and Marshall, B. C. (2020) doi:10.1080/10618600.2020.1739534, 3. joint mean-covariance models for multivariate responses, see Papageorgiou, G. (2022) doi:10.1002/sim.9376, and 4.Dirichlet process mixtures, see Papageorgiou, G. (2019) doi:10.1111/anzs.12273.

Last 30 days

This package has been downloaded 520 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 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 7,036 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was May 08, 2024 with 79 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.