bayestensorreg
This is an R package that can be used to carry out the analyses using the models in my dissertation.
Science Score: 44.0%
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○Scientific vocabulary similarity
Low similarity (4.2%) to scientific vocabulary
Last synced: 10 months ago
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Repository
This is an R package that can be used to carry out the analyses using the models in my dissertation.
Basic Info
- Host: GitHub
- Owner: danieladamspencer
- Language: R
- Default Branch: main
- Size: 9.23 MB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 6 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
Citation
README.md
bayestensorreg
This is an R package that can be used to carry out the analyses using the models in my dissertation. I have plans to expand the plotting and post-hoc analysis functionality, but I will have to squeeze the changes into the meager time that I currently have.
Currently Working
- Joint Bayesian Estimation of Voxel Activation and Interregional Connectivity in fMRI Experiments (Bayesian Tensor Response Regression with a Gaussian Graphical Model)
- Bayesian Tensor Regression with the Tucker Decomposition
- Bayesian Tensor Response Regression with the PARAFAC/CP Decomposition
Currently Not Working
- The
BTRR_GGM_vignette.Rmdvignette file will currently run on my computer, but fails to pass R CMD CHECK
Owner
- Name: Dan
- Login: danieladamspencer
- Kind: user
- Repositories: 12
- Profile: https://github.com/danieladamspencer
I'm an atmospheric statistician at Verisk.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Spencer" given-names: "Daniel" orcid: "https://orcid.org/0000-0002-9705-3605" title: "bayestensorreg" version: 1.0.0 date-released: 2022-09-30 url: "https://github.com/danieladamspencer/bayestensorreg"
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Dependencies
DESCRIPTION
cran
- R >= 4.1.0 depends
- stats * depends
- GIGrvg * imports
- Matrix * imports
- abind * imports
- doParallel * imports
- foreach * imports
- ggplot2 * imports
- glmnet * imports
- grDevices * imports
- graphics * imports
- mvtnorm * imports
- neuRosim * imports
- parallel * imports
- reshape2 * imports
- statmod * imports
- tidyr * imports
- truncnorm * imports
- DensParcorr * suggests
- knitr * suggests
- rmarkdown * suggests