BKTR
0.2.0Bayesian Kernelized Tensor Regression
Overview
Facilitates scalable spatiotemporally varying coefficient modelling with Bayesian kernelized tensor regression. The important features of this package are: (a) Enabling local temporal and spatial modeling of the relationship between the response variable and covariates. (b) Implementing the model described by Lei et al. (2023) doi:10.48550/arXiv.2109.00046. (c) Using a Bayesian Markov Chain Monte Carlo (MCMC) algorithm to sample from the posterior distribution of the model parameters. (d) Employing a tensor decomposition to reduce the number of estimated parameters. (e) Accelerating tensor operations and enabling graphics processing unit (GPU) acceleration with the 'torch' package.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Checks run against github.com/julien-hec/bktr on 2026-07-19.
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Code & Tests
People & History
2 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.2.0Latest
- RR 4.4.0 released · 2024-04-24
- 0.1.12023-10-20
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-10-20
- Total releases
- 2 / 3 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 796 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet