?
estimate_template
add custom smoothing
add parallel over subjects
Fixes and cleaning up
Data pre-processing, for both template estimation and TemplateICA
norm_BOLD
replaces scale_BOLD
, since now it detrends the data too.
Do not scale across space by default. Instead, scale across space only where necessary (one of the regressions in dual regression, and PCA-based operations).
Option to detrend.
Compute scale after centering and detrending.
Dual regression * Option to normalize A matrix
Template estimation
Merge estimate_template.cifti
and estimate_template.nifti
into estimate_template
Option to denoise each scan before computing DR
If using pseudo retest data, split each subject's scan after denoising and detrending, not before.
Option for different variance template (non-negative)
Option to obtain DR results
Return parameters, including data normalization choices.
* print
and summary
for templates
TemplateICA
Merge templateICA.cifti
and templateICA.nifti
into templateICA
Option to return DR results in estimate_template
Option to skip dimension reduction
Option to use parallel computing for iterating over voxels.
Option to provide "xifti"
or "nifti"
objects directly
Option to provide multiple scans
For denoising: replace maxQ
with Q2_max
to simplify logic
Fix cases where time_inds
and resamp_res
are provided.
Return parameters, including data normalization choices.
Replace subject IC variance with the standard error
* summary
and plot
for activations
Misc
Implement sign matching
Refine group_ICA
Refine make_mesh
Remove INLA required version (bring back?)
For developers
Laid some groundwork for estimating templates using >2 scans per subject: var_decomp
can handle >2 scans per subject (but need to test it!)
New code template calculation
Update functions that work with "xifti"
objects to conserve time and memory.
Package maintenance:
Only require INLA for spatial modeling.
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