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[REL] v0.5.0rc1 (#301)
* [REL] v0.5.0 * add taylor as creator
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.zenodo.json

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"name": "Herholz, Peer",
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"affiliation": "Montréal Neurological Institute",
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"orcid": "0000-0002-9840-6257"
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},
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{
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"name": "Salo, Taylor",
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"affiliation": "Florida International University",
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"orcid": "0000-0001-9813-3167"
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}
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],
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"contributors": [

CHANGELOG.rst

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CHANGELOG
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=========
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0.5.0 (March 20, 2020)
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----------------------
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This release adds two EXPERIMENTAL flags:
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--normalize-betas and --no-signal-scaling.
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I'm especially unsure about the behavior of
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--normalize-betas in combination with any hrf that contains
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"derivatives" or "derivatives + dispersion", since I'm unsure
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when to divide the the beta estimates with the variances of
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the beta estimates to derive the t-statistic
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(i.e., normalizing the beta estimates).
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This release also has given access to residuals from the LSA and LSS
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interfaces.
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Another WARNING: residuals for the LSS interface are not quite as meaningful
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since I'm averaging the residuals over all the models being generated.
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This project is not version 1.x.x yet, so be aware aspects of the API
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may change rapidly.
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Thanks to @michaelmack for opening an issue to suggest new features and
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@PeerHerholz for their contributions!
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* [ENH] add --normalize-betas option (#299) @jdkent
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* [ENH] add --no-signal-scaling option (#298) @jdkent
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* [ENH,FIX] optimally combine temporal + dispersion derivatives for beta estimation (#296) @jdkent
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* [ENH] add residuals to LSS/LSA interfaces (#294) @jdkent
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* [FIX] remove standardize parameter (#292) @jdkent
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* [ENH] Allow niftiimage input (#289) @jdkent
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* fix singularity install instructions in docs (#288) @PeerHerholz
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0.4.3 (February 22, 2020)
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-------------------------
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Bug fix and enhancement release.

long_description.rst

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CHANGELOG
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=========
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0.5.0 (March 20, 2020)
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----------------------
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This release adds two EXPERIMENTAL flags:
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--normalize-betas and --no-signal-scaling.
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I'm especially unsure about the behavior of
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--normalize-betas in combination with any hrf that contains
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"derivatives" or "derivatives + dispersion", since I'm unsure
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when to divide the the beta estimates with the variances of
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the beta estimates to derive the t-statistic
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(i.e., normalizing the beta estimates).
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This release also has given access to residuals from the LSA and LSS
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interfaces.
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Another WARNING: residuals for the LSS interface are not quite as meaningful
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since I'm averaging the residuals over all the models being generated.
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This project is not version 1.x.x yet, so be aware aspects of the API
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may change rapidly.
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Thanks to @michaelmack for opening an issue to suggest new features and
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@PeerHerholz for their contributions!
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* [ENH] add --normalize-betas option (#299) @jdkent
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* [ENH] add --no-signal-scaling option (#298) @jdkent
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* [ENH,FIX] optimally combine temporal + dispersion derivatives for beta estimation (#296) @jdkent
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* [ENH] add residuals to LSS/LSA interfaces (#294) @jdkent
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* [FIX] remove standardize parameter (#292) @jdkent
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* [ENH] Allow niftiimage input (#289) @jdkent
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* fix singularity install instructions in docs (#288) @PeerHerholz
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0.4.3 (February 22, 2020)
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Bug fix and enhancement release.

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