https://github.com/arkajyotisaha/brisc
Bootstrap for Rapid Inference on Spatial Covariances
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 3 DOI reference(s) in README -
○Academic publication links
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✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.7%) to scientific vocabulary
Repository
Bootstrap for Rapid Inference on Spatial Covariances
Basic Info
- Host: GitHub
- Owner: ArkajyotiSaha
- Language: C
- Default Branch: master
- Size: 520 KB
Statistics
- Stars: 7
- Watchers: 2
- Forks: 3
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
BRISC
Overview
Bootstrap for Rapid Inference on Spatial Covariances: Provides parameter estimates and bootstrap based confidence intervals for all parameters in a Gaussian Process based spatial regression model.
Installation
In order to download the package, please run the following command in R:
{r }
if (!require("devtools")) install.packages("devtools")
devtools::install_github("ArkajyotiSaha/BRISC")
Function description
For help on the functions in Brisc please use the following: ```{r } ?BRISC_estimation #(for estimation)
?BRISC_bootstrap #(for bootstrap)
?BRISC_prediction #(for prediction) ```
Note
The code of package "liblbfgs (Naoaki Okazaki)" are also available here for user convenience. Some code snippets are borrowed from R package "spNNGP (Andrew Finley et al.)". The code for approximate MMD ordering is borrowed from https://github.com/joeguinness/gp_reorder after minor modifications. The code for configure.ac is borrowed from https://github.com/cran/ARTP2/blob/master/configure.ac with minor adaptations. The code for covariance models other than exponential model are in beta testing stage.
Citation
Please cite the following paper when you use BRISC
Saha, A., & Datta, A. (2018). BRISC: bootstrap for rapid inference on spatial covariances. Stat, e184, DOI: 10.1002/sta4.184.
References:
Vecchia, A. V. (1988). Estimation and model identification for continuous spatial processes. Journal of the Royal Statistical Society. Series B (Methodological), 297-312.
Datta, A., Banerjee, S., Finley, A. O., & Gelfand, A. E. (2016). Hierarchical nearest-neighbor Gaussian process models for large geostatistical datasets. Journal of the American Statistical Association, 111(514), 800-812.
Guinness, J. (2018). Permutation and Grouping Methods for Sharpening Gaussian Process Approximations. Technometrics, DOI: 10.1080/00401706.2018.1437476.
Saha, A., & Datta, A. (2018). BRISC: bootstrap for rapid inference on spatial covariances. Stat, e184, DOI: 10.1002/sta4.184.
Owner
- Name: Arkajyoti Saha
- Login: ArkajyotiSaha
- Kind: user
- Location: Baltimore, Maryland
- Repositories: 4
- Profile: https://github.com/ArkajyotiSaha
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Arkajyoti Saha | a****3@g****m | 130 |
| abhirupdatta | a****a@j****u | 5 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: over 2 years ago
All Time
- Total issues: 1
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- Stacy019 (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
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Total downloads:
- cran 557 last-month
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Total dependent packages: 1
(may contain duplicates) -
Total dependent repositories: 4
(may contain duplicates) - Total versions: 10
- Total maintainers: 1
cran.r-project.org: BRISC
Fast Inference for Large Spatial Datasets using BRISC
- Homepage: https://github.com/ArkajyotiSaha/BRISC
- Documentation: http://cran.r-project.org/web/packages/BRISC/BRISC.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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Latest release: 1.0.6
published almost 2 years ago
Rankings
Maintainers (1)
conda-forge.org: r-brisc
- Homepage: https://github.com/ArkajyotiSaha/BRISC
- License: GPL-2.0-or-later
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Latest release: 1.0.5
published over 3 years ago
Rankings
Dependencies
- R >= 3.3.0 depends
- RANN * depends
- graphics * depends
- matrixStats * depends
- parallel * depends
- pbapply * depends
- rdist * depends
- stats * depends