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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package tests :: Module test_stats :: Class StatsTests
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Class StatsTests

source code

Unittests for various statistics
Instance Methods [hide private]
 
testChiSquare(self)
Test chi-square distribution		 source code
 
testNullDistProb(self, null)
Testing null dist probability		 source code
 
testNullDistProbAny(self)
Test 'any' tail statistics estimation		 source code
 
testDatasetMeasureProb(self, nd)
Test estimation of measures statistics		 source code
 
testNegativeT(self)
Basic testing of the sign in p and t scores		 source code
 
testMatchDistribution(self)
Some really basic testing for matchDistribution		 source code
 
testRDistStability(self)
Test either rdist distribution performs nicely		 source code
 
testAnova(self)
Do some extended testing of OneWayAnova		 source code
 
testGLM(self)
Test GLM		 source code
Method Details [hide private]

testNullDistProb(self, null)

source code 
Testing null dist probability
Decorators:
  • @sweepargs(null= nulldist_sweep [1:])

testDatasetMeasureProb(self, nd)

source code 
Test estimation of measures statistics
Decorators:
  • @sweepargs(nd= nulldist_sweep)

testAnova(self)

source code 

Do some extended testing of OneWayAnova

in particular -- compound estimation


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PyMVPA: Python MultiVariate Pattern Analysis
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