activegp
Gaussian Process Based Design and Analysis for the Active Subspace Method
The active subspace method is a sensitivity analysis technique that finds important linear combinations of input variables for a simulator. This package provides functions allowing estimation of the active subspace without gradient information using Gaussian processes as well as sequential experimental design tools to minimize the amount of data required to do so. Implements Wycoff et al. (JCGS, 2021) doi:10.48550/arXiv.1907.11572.
- Version1.1.1
- R versionunknown
- LicenseBSD_3_clause
- LicenseLICENSE
- Needs compilation?Yes
- Last release05/25/2024
Documentation
Team
Nathan Wycoff
Mickael Binois
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Last 30 days
This package has been downloaded 371 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 14 times.
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Last 365 days
This package has been downloaded 4,654 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 Aug 28, 2024 with 66 downloads.
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- Imports6 packages
- Suggests1 package
- Linking To3 packages