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 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.