| as.TR_data | Format tensor regression data |
| B_densities | Plot posterior densities of the tensor coefficient |
| btr_compose_parafac | Compose tensor from its parafac decomposition |
| BTR_CP | Bayesian tensor regression with the CP decomposition |
| btr_cp_all_B | Wrapper to compose tensors from BTR_CP model object |
| btr_cp_final_B | Produce a final estimate of the BTR CP tensor coefficient |
| btr_cp_llik | Calculate log-likelihood from result object |
| BTRR_draw_beta | Draw betas |
| BTRR_draw_k | Draw k |
| BTRR_draw_sigma_epsilon_sq | Draw sigma_epsilon_sq |
| BTRR_draw_tau | Draw tau |
| BTRR_draw_Xi | Draw Xi |
| BTRR_extract_B | Construct tensor coefficient from results |
| BTRR_GGM | Bayesian Tensor Response Regression with Gaussian Graphical... |
| BTRR_GGM_BtWB | Quadratic calculation |
| BTRR_GGM_check_data | Check that the input data are compatible with the 'BTRR_GGM'... |
| BTRR_GGM_draw_beta | Draw betas |
| BTRR_GGM_draw_d | Draw d |
| BTRR_GGM_draw_lambda | Update lambda |
| BTRR_GGM_draw_omega | Update local region variance parameters |
| BTRR_GGM_draw_Phi | Draw Phi_g under the stick-breaking prior |
| BTRR_GGM_draw_Sig_Upsilon | Draw Sigma and Upsilon |
| BTRR_GGM_draw_tau | Update tau |
| BTRR_GGM_empty_results | Create a preallocated result list object |
| BTRR_GGM_extract_B | Construct tensor coefficient from results |
| BTRR_GGM_extract_last_iter | Extract the last iteration of the MCMC from a result file |
| BTRR_GGM_griddy_Gibbs_alpha | Griddy Gibbs draw for alpha |
| btrr_ggm_result | Results from the simulated sample Bayesian Tensor Response... |
| BTRR_post_hoc_AR1_llik | Calculate the log-likelihood |
| BTRR_single_subject | Single-subject Bayesian Tensor Response Regression |
| BTRT_all_B | Compose all tensors with Tucker decomposition |
| BTRT_draw_Bj | Draw from PFC for betas |
| BTRT_draw_G | Draw core tensor from PFC |
| BTRT_draw_gam | Draw gamma from PFC |
| BTRT_draw_lam | Update local shrinkage |
| BTRT_draw_omega | Draw local variance |
| BTRT_draw_sig_y2 | Update observational variance |
| BTRT_draw_tau | Update global variance |
| BTRT_draw_U | Update core tensor shrinkage parameter |
| BTRT_draw_V | Update to core tensor local variance |
| BTRT_draw_z | Update core tensor global variance |
| BTRT_estimate_B | Produce a final tensor coefficient estimate |
| BTRT_final_B | Produce a final estimate of the tensor coefficient |
| BTRTucker | Bayesian tensor regression with the Tucker decomposition |
| compose_parafac | Compose a tensor from its PARAFAC decomposition |
| composeParafac | Compose a tensor from its CANDECOMP/PARAFAC (CP)... |
| composeParafac2 | Compose a tensor from its CANDECOMP/PARAFAC (CP)... |
| composeTuckerCore | Compose a tensor based on the Tucker Decomposition |
| compose_tucker_ftr | Compose a tensor from its Tucker decomposition |
| compose_tucker_ftr_vec | Compose a tensor from the Tucker decomposition and vectorize |
| cp_draw_betas | Draw betas from their posterior FCs |
| cp_draw_gam | Draw gam from posterior FC |
| cp_draw_gam_two | Second way to draw gam from posterior FC |
| cp_draw_lam | Draw lam from posterior FC |
| cp_draw_Phi | Draw Phi variable from the posterior full conditional |
| cp_draw_sig_y2 | Draw sig_y2 from posterior FC |
| cp_draw_sig_y2_two | Second way to draw sig_y2 from posterior FC |
| cp_draw_tau | Draw tau from the posterior full conditional |
| cp_draw_W | Draw W from posterior FC |
| DIC | Deviance Information Criterion |
| expit | Inverse logit transformation |
| FTR_CP | Frequentist Tensor Regression with the CP decomposition |
| ftr_log_likelihood | Obtain the log-likelihood for the tensor regression linear... |
| ftr_model_BIC | Get the BIC for an FTR model fit |
| ftr_probit_log_likelihood | Obtain the log-likelihood for the tensor regression probit... |
| FTRTucker | Frequentist tensor regression with the Tucker decomposition |
| ggplot_ts | Time series ggplot |
| gg_tile_plot | Make a tile plot using ggplot2 |
| kFold | Perform mode-k matricization on an array |
| khatri_rao | Khatri Rao product |
| logit | Logit transformation |
| melt_array | Melt and array into a data frame |
| melt_list | Wrapper for melting arrays within lists |
| mode_k_matriz | Matricization of a tensor |
| s2m | Sequential 2-means number of nonzero-values parameters for an... |
| s2m_B | Perform sequential 2-means variable selection on posterior... |
| stick_break_log_posterior | Get the log posterior under the stick-breaking prior for... |
| stick_values | Calculate stick values |
| tile.plot | Lightweight tile plot function |
| TRR_GGM_simulated_data | Simulated data for tensor response regression with Gaussian... |
| TRR_simulated_data | Simulated tensor response regression data |
| TR_simulated_data | Simulated tensor regression data |
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