geostan

For spatial data analysis; provides exploratory spatial analysis tools, spatial regression, spatial econometric, and disease mapping models, model diagnostics, and special methods for inference with small area survey data (e.g., the America Community Survey (ACS)) and censored population health monitoring data. Models are pre-specified using the Stan programming language, a platform for Bayesian inference using Markov chain Monte Carlo (MCMC). References: Carpenter et al. (2017) doi:10.18637/jss.v076.i01; Donegan (2021) doi:10.31219/osf.io/3ey65; Donegan (2022) doi:10.21105/joss.04716; Donegan, Chun and Hughes (2020) doi:10.1016/j.spasta.2020.100450; Donegan, Chun and Griffith (2021) doi:10.3390/ijerph18136856; Morris et al. (2019) doi:10.1016/j.sste.2019.100301.

Last 30 days

This package has been downloaded 460 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 6 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 8,507 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 Apr 17, 2024 with 123 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.