RobustGaSP
Robust Gaussian Stochastic Process Emulation
Robust parameter estimation and prediction of Gaussian stochastic process emulators. It allows for robust parameter estimation and prediction using Gaussian stochastic process emulator. It also implements the parallel partial Gaussian stochastic process emulator for computer model with massive outputs See the reference: Mengyang Gu and Jim Berger, 2016, Annals of Applied Statistics; Mengyang Gu, Xiaojing Wang and Jim Berger, 2018, Annals of Statistics.
- Version0.6.6
- R version≥ 3.5.0 methods
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/09/2024
Documentation
Team
Mengyang Gu
Jesus Palomo
Show author detailsRolesAuthorJames Berger
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 421 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 4 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 6,313 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Jul 31, 2024 with 236 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
- Imports2 packages
- Linking To2 packages
- Reverse Imports1 package
- Reverse Suggests1 package