9.0

8.0

7.1

7.0

6.0

5.0

?

4.0

estimate_prior * add custom smoothing * add parallel over subjects

3.0

Fixes and cleaning up

2.0

Data pre-processing, for both prior 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_prior.cifti and estimate_prior.nifti into estimate_prior * 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 prior (non-negative) * Option to obtain DR results * Return parameters, including data normalization choices. * print and summary for priors

TemplateICA * Merge BrainMap.cifti and BrainMap.nifti into BrainMap * Option to return DR results in estimate_prior * 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 engagements

Misc * Implement sign matching * Refine group_ICA * Refine make_mesh * Remove INLA required version (bring back?)

For developers * Laid some groundwork for estimating priors using >2 scans per subject: var_decomp can handle >2 scans per subject (but need to test it!) * New code prior calculation

1.2

Update functions that work with "xifti" objects to conserve time and memory.

1.0

mirror server hosted at Truenetwork, Russian Federation.