mfalkiewicz / pystatis Goto Github PK
View Code? Open in Web Editor NEWPython implementation of STATIS for analysis of several data tables
License: Apache License 2.0
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Registration to pre-defined template
It should be possible to use the same approach to register components to a pre-defined template.
Unit tests
- Rv_PCA
- aniso_c1
- get_A
- get_M
- stack_tables
- col_indices
- gsvd
- get_affinity_input
- get_groups
- get_ids
- calc_factor_scores
- calc_partial_factor_scores
- calc_contrib_obs
- calc_contrib_var
- calc_contrib_dat
- calc_partial_inertia_dat
Add permutation testing
add k-fold resampling
Reduce size of inner product matrices for STATIS
Cross-product matrices for STATIS (used to compute the table weights) become prohibitively large when high number of nodes per subject is used (e.g. 30k). It should be possible to reduce these matrices for inner product calculation, but this needs to be benchmarked against the original approach.
Projection of additional tables to consensus space
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