Spacekime Analytics, Time Complexity and Inferential Uncertainty
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Documentation for package ‘TCIU’ version 1.2.5
- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
Help Pages
| fmri_2dvisual | visualization of the 2D brain (axial, sagittal and coronal) with the activated areas |
| fmri_3dvisual | visualization of the 3D brain with the activated areas |
| fmri_3dvisual_region | visualization of the 3D brain with the activated areas by regions |
| fmri_image | interactive graph object of the fMRI image |
| fmri_kimesurface | interactive graph object of 3D kime-series |
| fmri_post_hoc | post-hoc process for p values |
| fmri_pval_comparison_2d | 2D comparison visualization between the p-values |
| fmri_pval_comparison_3d | comparison between 3d visualization for p-values |
| fmri_ROI_phase1 | p-values on region of interest(ROI) of the brain |
| fmri_ROI_phase2 | tensor-on-tensor regression on region of interest(ROI) of the brain |
| fmri_simulate_func | real-valued fMRI data simulation |
| fmri_stimulus_detect | fMRI data stimulus detection |
| fmri_time_series | visualization of the fMRI data (real, imaginary, magnitude, and phase parts) in time series |
| fmri_ts_forecast | forecast the fMRI data based on the time series |
| GaussSmoothArray | GaussSmoothArray |
| GaussSmoothKernel | GaussSmoothKernel |
| ILT | numerical method to compute inverse of Laplace Transform |
| inv_kimesurface_transform | inverse kimesurface transform on a function in different periodic ranges |
| kimesurface_transform | kimesurface transform on a function with a specified set of complex values |
| LT | numerical method to compute Laplace Transform |
| mask | mask |
| mask_dict | mask_dict |
| mask_label | mask_label |
| phase1_pval | phase1_pval |
| phase2_pval | phase2_pval |
| phase3_pval | phase3_pval |
| sample_save | sample_save |