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brainiak/isc.py changed.

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    distribution of summary statistics. The p-value corresponds to either a
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    'two-sided', 'left'-, or 'right'-sided (default) test, as specified by
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    side. According to Chen et al., 2016, this is the preferred nonparametric
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    approach for controlling false positive rates (FPR) for one-sample tests
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    in the pairwise approach. The efficacy of this approach for controlling
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    FPRs in the leave-one-out approach has not yet been systematically
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    evaluated.
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    approach for controlling false positive rates (FPRs) for one-sample tests
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    in the pairwise approach. Note that the bootstrap hypothesis test may not
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    strictly control FPRs in the leave-one-out approach.
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    The implementation is based on the work in [Chen2016]_ and
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    [HallWilson1991]_.
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    The p-value corresponds to either a 'two-sided', 'left'-, or 'right'-sided
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    (default) test, as specified by side. According to Chen et al., 2016,
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    this is the preferred nonparametric approach for controlling false
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    positive rates (FPR) for two-sample tests. This approach may yield
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    inflated FPRs for one-sample tests.
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    positive rates (FPRs) for two-sample tests. Note that the permutation test
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    may not strictly control FPRs for one-sample tests.
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    The implementation is based on the work in [Chen2016]_.
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    False. Returns the observed ISC and p-values, as well as the null
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    distribution of ISCs computed on randomly time-shifted data. The p-value
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    corresponds to either a 'two-sided', 'left'-, or 'right'-sided (default)
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    test, as specified by side.
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    test, as specified by side. Note that circular time-shift randomization
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    may not strictly control false positive rates (FPRs).
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    The implementation is based on the work in [Kauppi2010]_ and
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    [Kauppi2014]_.
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    to False. Returns the observed ISC and p-values, as well as the null
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    distribution of ISCs computed on phase-randomized data. The p-value
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    corresponds to either a 'two-sided', 'left'-, or 'right'-sided (default)
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    test, as specified by side.
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    test, as specified by side. Note that phase randomization may not
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    strictly control false positive rates (FPRs).
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    The implementation is based on the work in [Lerner2011]_ and
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    [Simony2016]_.
Files Coverage
brainiak 91.52%
Project Totals (31 files) 91.52%
1501.2
TRAVIS_PYTHON_VERSION=3.8
TRAVIS_OS_NAME=linux
1501.1
TRAVIS_PYTHON_VERSION=3.6
TRAVIS_OS_NAME=linux
1501.3
TRAVIS_OS_NAME=osx
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coverage:
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    status:
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        project:
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            default:
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                threshold: 1
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                if_ci_failed: error
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        patch:
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            default:
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                threshold: 1
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                if_ci_failed: error
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comment: false
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