VaRES
Computes Value at Risk and Expected Shortfall for over 100 Parametric Distributions
Computes Value at risk and expected shortfall, two most popular measures of financial risk, for over one hundred parametric distributions, including all commonly known distributions. Also computed are the corresponding probability density function and cumulative distribution function. See Chan, Nadarajah and Afuecheta (2015) doi:10.1080/03610918.2014.944658 for more details.
- Version1.0.2
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release04/22/2023
Documentation
Team
Leo Belzile
Saralees Nadarajah
Show author detailsRolesAuthorStephen Chan
Show author detailsRolesAuthorEmmanuel Afuecheta
Insights
Last 30 days
This package has been downloaded 286 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! 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 3,931 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 Jan 30, 2025 with 47 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
- Reverse Imports2 packages