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9.0

• Clean up dependencies
• Patch for dual_reg_parc

8.0

• Updates to prior calculations
  • Use effective sample size
• Add prewhitening option to FC prior ICA
• Implement rescaling to BrainMap
• Default engagement type is > rather than abs >

7.1

• use u and z for activtions, rather than gamma

7.0

• no PARDISO requirement
• correct package documentation
• adjustments to FC, VB
• add scrubbing

6.0

• engagements: gray medial wall
• prep for adding FC prior

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

• Package maintenance:
  • format DESCRIPTION
  • change import to importFrom where possible
  • add README.Rmd
  • add travis and appveyor
  • delete Rhistory
  • clean up gitignore & buildignore
  • add internal keyword to functions not exported
  • add titles to functions
  • some formatting to function descriptions
  • replace equal signs with arrows
  • add CITATION
• Only require INLA for spatial modeling.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.