Bayesian Kernelized Tensor Regression
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Documentation for package ‘BKTR’ version 0.1.1
Help Pages
| *.Kernel | Operator overloading for kernel multiplication |
| +.Kernel | Operator overloading for kernel addition |
| BixiData | BIXI Data Class |
| bixi_spatial_features | Spatial Features of Montreal BIXI Stations in 2019 |
| bixi_spatial_locations | Spatial Locations of Montreal BIXI Stations in 2019 |
| bixi_station_departures | Daily Departure from BIXI Stations in 2019 |
| bixi_temporal_features | Temporal Features in Montreal applicable to BIXI for 2019 |
| bixi_temporal_locations | Temporal indices for the 2019 BIXI season |
| BKTRRegressor | R6 class encapsulating the BKTR regression elements |
| CompositionOps | Kernel Composition Operations |
| Kernel | Base R6 class for Kernels |
| KernelAddComposed | R6 class for Kernels Composed via Addition |
| KernelComposed | R6 class for Composed Kernels |
| KernelMatern | R6 class for Matern Kernels |
| KernelMulComposed | R6 class for Kernels Composed via Multiplication |
| KernelParameter | R6 class for kernel's hyperparameter |
| KernelPeriodic | R6 class for Periodic Kernels |
| KernelRQ | R6 class for Rational Quadratic Kernels |
| KernelSE | R6 class for Square Exponential Kernels |
| KernelWhiteNoise | R6 class for White Noise Kernels |
| plot_beta_dists | Plot Beta Coefficients Distribution |
| plot_covariates_beta_dists | Plot Beta Coefficients Distribution Regrouped by Covariates |
| plot_hyperparams_dists | Plot Hyperparameters Distributions |
| plot_hyperparams_traceplot | Plot Hyperparameters Traceplot |
| plot_spatial_betas | Plot Spatial Beta Coefficients |
| plot_temporal_betas | Plot Temporal Beta Coefficients |
| plot_y_estimates | Plot Y Estimates |
| print.BKTRRegressor | Print the summary of a BKTRRegressor instance |
| reshape_covariate_dfs | Function used to transform covariates coming from two dataframes one for spatial and one for temporal into a single dataframe with the right shape for the BKTR Regressor. This is useful when the temporal covariates do not vary trough space and the spatial covariates do not vary trough time (Like in the BIXI example). The function also adds a column for the target variable at the beginning of the dataframe. |
| simulate_spatiotemporal_data | Simulate Spatiotemporal Data Using Kernel Covariances. |
| summary.BKTRRegressor | Summarize a BKTRRegressor instance |
| TensorOperator | R6 singleton that contains the configuration for the tensor backend |
| TSR | Tensor Operator Singleton |