BSS
Brownian Semistationary Processes
Efficient simulation of Brownian semistationary (BSS) processes using the hybrid simulation scheme, as described in Bennedsen, Lunde, Pakkannen (2017) doi:10.48550/arXiv.1507.03004, as well as functions to fit BSS processes to data, and functions to estimate the stochastic volatility process of a BSS process.
- Version0.1.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release06/24/2020
Team
Phillip Murray
Insights
Last 30 days
This package has been downloaded 192 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. 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 2,139 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 Sep 11, 2024 with 29 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
- Imports3 packages
- Suggests1 package