CDatanet
Econometrics of Network Data
Simulating and estimating peer effect models and network formation models. The class of peer effect models includes linear-in-means models (Lee, 2004), Tobit models (Xu and Lee, 2015), and discrete numerical data models (Houndetoungan, 2024). The network formation models include pair-wise regressions with degree heterogeneity (Graham, 2017) and exponential random graph models (Mele, 2017).
- Version2.2.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-US
- Last release05/14/2024
Documentation
Team
Aristide Houndetoungan
Insights
Last 30 days
This package has been downloaded 296 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 10 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 4,046 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 May 15, 2024 with 67 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
- Imports9 packages
- Suggests4 packages
- Linking To6 packages
- Reverse Suggests1 package