BKTR
Bayesian Kernelized Tensor Regression
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | BKTR_0.2.0.tar.gz |
1.5 MiB |
0.2.0 |
rolling linux/noble R-4.5 | BKTR_0.2.0.tar.gz |
1.5 MiB |
0.2.0 |
rolling source/ R- | BKTR_0.2.0.tar.gz |
795.7 KiB |
0.2.0 |
latest linux/jammy R-4.5 | BKTR_0.2.0.tar.gz |
1.5 MiB |
0.2.0 |
latest linux/noble R-4.5 | BKTR_0.2.0.tar.gz |
1.5 MiB |
0.2.0 |
latest source/ R- | BKTR_0.2.0.tar.gz |
795.7 KiB |
0.2.0 |
2026-04-26 source/ R- | BKTR_0.2.0.tar.gz |
795.7 KiB |
0.2.0 |
2026-04-23 source/ R- | BKTR_0.2.0.tar.gz |
795.7 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | BKTR_0.2.0.zip |
1.5 MiB |
0.2.0 |
2025-04-20 source/ R- | BKTR_0.2.0.tar.gz |
795.7 KiB |