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Releases: HBClab/NiBetaSeries

v0.6.0

09 Apr 23:20
a45c0a1
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Adding one feature that will make my thesis work easier, outputting the residual timeseries after beta series estimation. This release also contains changes to update links to the "new" default travis ci .com and makes sure I'm using sphinx 2.x.x, and not the new 3.x.x.

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v0.6.0rc1

09 Apr 22:58
a45c0a1
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v0.6.0rc1 Pre-release
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Release Notes

Adding one feature that will make my thesis work easier, outputting the residual timeseries after beta series estimation. This release also contains changes to update links to the "new" default travis ci .com and makes sure I'm using sphinx 2.x.x, and not the new 3.x.x.

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v0.5.0

20 Mar 20:12
1667c8d
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This release adds two EXPERIMENTAL flags: --normalize-betas and --no-signal-scaling.
I'm especially unsure about the behavior of --normalize-betas in combination with any hrf that contains "derivatives" or "derivatives + dispersion", since I'm unsure when to divide the the beta estimates with the variances of the beta estimates to derive the t-statistic (i.e., normalizing the beta estimates). This release also has given access to residuals from the LSA and LSS interfaces.

Another WARNING: residuals for the LSS interface are not quite as meaningful
since I'm averaging the residuals over all the models being generated.
This project is not version 1.x.x yet, so be aware aspects of the API
may change rapidly.

Thanks to @michaelmack for opening an issue to suggest new features and
@PeerHerholz for their contributions!

CHANGES

  • [ENH] add --normalize-betas option (#299) @jdkent
  • [ENH] add --no-signal-scaling option (#298) @jdkent
  • [ENH,FIX] optimally combine temporal + dispersion derivatives for beta estimation (#296) @jdkent
  • [ENH] add residuals to LSS/LSA interfaces (#294) @jdkent
  • [FIX] remove standardize parameter (#292) @jdkent
  • [ENH] Allow niftiimage input (#289) @jdkent
  • fix singularity install instructions in docs (#288) @PeerHerholz

v0.5.0rc2

20 Mar 19:56
1667c8d
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v0.5.0rc2 Pre-release
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Release Notes

This release adds two EXPERIMENTAL flags: --normalize-betas and --no-signal-scaling.
I'm especially unsure about the behavior of --normalize-betas in combination with any hrf that contains "derivatives" or "derivatives + dispersion", since I'm unsure when to divide the the beta estimates with the variances of the beta estimates to derive the t-statistic (i.e., normalizing the beta estimates). This release also has given access to residuals from the LSA and LSS interfaces.

Another WARNING: residuals for the LSS interface are not quite as meaningful
since I'm averaging the residuals over all the models being generated.
This project is not version 1.x.x yet, so be aware aspects of the API
may change rapidly.

Thanks to @michaelmack for opening an issue to suggest new features and
@PeerHerholz for their contributions!

CHANGES

  • [ENH] add --normalize-betas option (#299) @jdkent
  • [ENH] add --no-signal-scaling option (#298) @jdkent
  • [ENH,FIX] optimally combine temporal + dispersion derivatives for beta estimation (#296) @jdkent
  • [ENH] add residuals to LSS/LSA interfaces (#294) @jdkent
  • [FIX] remove standardize parameter (#292) @jdkent
  • [ENH] Allow niftiimage input (#289) @jdkent
  • fix singularity install instructions in docs (#288) @PeerHerholz

v0.5.0rc1

20 Mar 18:03
3ddb31b
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v0.5.0rc1 Pre-release
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Release Notes

This release adds two EXPERIMENTAL flags: --normalize-betas and --no-signal-scaling.
I'm especially unsure about the behavior of --normalize-betas in combination with any hrf that contains "derivatives" or "derivatives + dispersion", since I'm unsure when to divide the the beta estimates with the variances of the beta estimates to derive the t-statistic (i.e., normalizing the beta estimates). This release also has given access to residuals from the LSA and LSS interfaces.

Another WARNING: residuals for the LSS interface are not quite as meaningful
since I'm averaging the residuals over all the models being generated.
This project is not version 1.x.x yet, so be aware aspects of the API
may change rapidly.

Thanks to @michaelmack for opening an issue to suggest new features and
@PeerHerholz for their contributions!

CHANGES

  • [ENH] add --normalize-betas option (#299) @jdkent
  • [ENH] add --no-signal-scaling option (#298) @jdkent
  • [ENH,FIX] optimally combine temporal + dispersion derivatives for beta estimation (#296) @jdkent
  • [ENH] add residuals to LSS/LSA interfaces (#294) @jdkent
  • [FIX] remove standardize parameter (#292) @jdkent
  • [ENH] Allow niftiimage input (#289) @jdkent
  • fix singularity install instructions in docs (#288) @PeerHerholz

v0.4.3

23 Feb 05:46
d4a723b
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Release Notes

Bug fix and enhancement release.
Made a quick decision to remove volumes that have large unstable beta estimates.

CHANGES

  • [FIX] allow atlas arguments to be None (#283) @jdkent
  • [FIX] bump nipype version (#280) @jdkent
  • [ENH] censor invalid volumes (#277) @jdkent
  • [ENH] allow regex for confound specification and impute derivatives (#273) @jdkent

v0.4.3rc1

23 Feb 05:28
d4a723b
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v0.4.3rc1 Pre-release
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Release Notes

Bug fix and enhancement release.
Made a quick decision to remove volumes that have large unstable beta estimates.

CHANGES

  • [FIX] allow atlas arguments to be None (#283) @jdkent
  • [FIX] bump nipype version (#280) @jdkent
  • [ENH] censor invalid volumes (#277) @jdkent
  • [ENH] allow regex for confound specification and impute derivatives (#273) @jdkent

v0.4.2

24 Jan 05:11
0ea1eba
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Release Notes

Bug fix and maintenance release, large thanks to @poldrack for testing out nibs and providing feedback, leading to the bug fixes.

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v0.4.2rc1

24 Jan 04:51
0ea1eba
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v0.4.2rc1 Pre-release
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Release Notes

Bug fix and maintenance release

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v0.4.1

16 Dec 18:17
92fff40
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Release Notes

Bug fix and maintenance release.

CHANGES

  • [MAINT] refactor and increase tests for run.py (#249) @jdkent
  • [FIX] allow flexible derivatives location (#247) @jdkent
  • [ENH] create useful error message when images are not found (#246) @jdkent
  • [MAINT] fix nistats dependency (#245) @jdkent