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hub / github.com/0todd0000/spm1d / types & classes

Types & classes451 in github.com/0todd0000/spm1d

↓ 25 callersClassFactor
spm1d/stats/anova/factors.py:18
↓ 11 callersClassDesignBuilder
spm1d/stats/anova/designs.py:36
↓ 11 callersClassSPMiPlotter
spm1d/_plot.py:202
↓ 7 callersClassDataPlotter
spm1d/_plot.py:33
↓ 5 callersClassRFTCalculator
A convenience class for high-level access to RFT probabilities. :Parameters: *STAT* --- test statistic (one of: "Z", "T", "F", "X2", "T2")
spm1d/rft1d/prob.py:539
↓ 5 callersClassSPM1DError
spm1d/stats/_datachecks.py:23
↓ 4 callersClassFactorNested
spm1d/stats/anova/factors.py:173
↓ 4 callersClassMultiFactorPermuter
spm1d/stats/nonparam/permuters.py:67
↓ 4 callersClassRFTCalculatorResels
A convenience class for high-level access to RFT probabilities (based on resel counts). :Parameters: *STAT* --- test statistic (one of: "Z",
spm1d/rft1d/prob.py:679
↓ 3 callersClassUpcrossing
A class for computing upcrossing extents. Computing upcrossing extents is simple if the upcrossing extent is to be calculated using only the numbe
spm1d/rft1d/geom.py:20
↓ 3 callersClass_Expected
spm1d/rft1d/prob.py:384
↓ 3 callersClass_Probability
spm1d/rft1d/prob.py:455
↓ 2 callersClassSPMPlotter
spm1d/_plot.py:132
↓ 2 callersClassSnPM0Dinference
spm1d/stats/nonparam/_snpm.py:130
↓ 2 callersClassSnPM0Dinference
spm1d/stats/nonparam_old/_snpm.py:127
↓ 1 callersClassCalculatorANOVA1
spm1d/stats/nonparam/calculators.py:289
↓ 1 callersClassCalculatorRegress0D
spm1d/stats/nonparam/calculators.py:185
↓ 1 callersClassCalculatorRegress1D
spm1d/stats/nonparam/calculators.py:206
↓ 1 callersClassCalculatorTtest
spm1d/stats/nonparam/calculators.py:31
↓ 1 callersClassCalculatorTtest2
spm1d/stats/nonparam/calculators.py:87
↓ 1 callersClassChi2
spm1d/rft1d/distributions.py:481
↓ 1 callersClassContrasts
spm1d/stats/anova/designs.py:21
↓ 1 callersClassDataCheckerANOVA1
spm1d/stats/_datachecks.py:99
↓ 1 callersClassDataCheckerANOVA1List
spm1d/stats/_datachecks.py:83
↓ 1 callersClassDataCheckerANOVA2
spm1d/stats/_datachecks.py:116
↓ 1 callersClassDataCheckerRegress
spm1d/stats/_datachecks.py:134
↓ 1 callersClassDataCheckerTtest
spm1d/stats/_datachecks.py:147
↓ 1 callersClassDataCheckerTtest2
spm1d/stats/_datachecks.py:157
↓ 1 callersClassDataCheckerTtestPaired
spm1d/stats/_datachecks.py:169
↓ 1 callersClassFactor
spm1d/stats/nonparam/factors.py:6
↓ 1 callersClassFactorNested2
spm1d/stats/anova/factors.py:236
↓ 1 callersClassFactorNestedTwoWay
spm1d/stats/anova/factors.py:277
↓ 1 callersClassFisherSnedecorF
spm1d/rft1d/distributions.py:499
↓ 1 callersClassGaussian
Gaussian distributions are accessible via **rft1d.norm** and **rft1d.distributions.norm**
spm1d/rft1d/distributions.py:442
↓ 1 callersClassGenerator1D
Generator of smooth Gaussian random fields. :Parameters: *nResponses* -- number of fields (int) *nodes* -- number of field nodes (int) OR
spm1d/rft1d/random.py:22
↓ 1 callersClassGeneratorMulti1D
Generator of smooth multivariate Gaussian random fields. :Parameters: *nResponses* -- number of fields (int) *nodes* -- number of field n
spm1d/rft1d/random.py:153
↓ 1 callersClassHotellingsT2
spm1d/rft1d/distributions.py:517
↓ 1 callersClassMatrixWithProjections
spm1d/stats/_reml.py:181
↓ 1 callersClassMaxClusterExtent
spm1d/stats/nonparam/metrics.py:38
↓ 1 callersClassMaxClusterExtent
spm1d/stats/nonparam_old/metrics.py:38
↓ 1 callersClassMaxClusterHeight
spm1d/stats/nonparam/metrics.py:45
↓ 1 callersClassMaxClusterHeight
spm1d/stats/nonparam_old/metrics.py:45
↓ 1 callersClassMaxClusterIntegral
spm1d/stats/nonparam/metrics.py:52
↓ 1 callersClassMaxClusterIntegral
spm1d/stats/nonparam_old/metrics.py:52
↓ 1 callersClassPermutationTestManager0D
spm1d/stats/nonparam/mgr.py:60
↓ 1 callersClassPermutationTestManager1D
spm1d/stats/nonparam/mgr.py:96
↓ 1 callersClassRegressionPermuter
spm1d/stats/nonparam/permuters.py:11
↓ 1 callersClassSPM0D_X2
spm1d/stats/_spm.py:210
↓ 1 callersClassSPM0Di_F
An SPM{F} (0D) inference object.
spm1d/stats/_spm.py:220
↓ 1 callersClassSPM0Di_T
An SPM{T} (0D) inference object.
spm1d/stats/_spm.py:224
↓ 1 callersClassSPM0Di_T2
An SPM{T2} (0D) inference object.
spm1d/stats/_spm.py:227
↓ 1 callersClassSPM0Di_X2
An SPM{X2} (0D) inference object.
spm1d/stats/_spm.py:230
↓ 1 callersClassSPMFiList
spm1d/stats/_spmlist.py:87
↓ 1 callersClassSPM_X2
spm1d/stats/_spm.py:562
↓ 1 callersClassSPMi_F
An SPM{F} inference continuum.
spm1d/stats/_spm.py:658
↓ 1 callersClassSPMi_T
An SPM{t} inference continuum.
spm1d/stats/_spm.py:655
↓ 1 callersClassSPMi_T2
An SPM{T2} inference continuum.
spm1d/stats/_spm.py:663
↓ 1 callersClassSPMi_X2
An SPM{X2} inference continuum.
spm1d/stats/_spm.py:666
↓ 1 callersClassSingleSamplePermuter
spm1d/stats/nonparam/permuters.py:39
↓ 1 callersClassSnPM0D_F
spm1d/stats/nonparam/_snpm.py:115
↓ 1 callersClassSnPM0D_T
spm1d/stats/nonparam/_snpm.py:104
↓ 1 callersClassSnPM0DiF
spm1d/stats/nonparam/_snpm.py:185
↓ 1 callersClassSnPM0DiF
spm1d/stats/nonparam_old/_snpm.py:182
↓ 1 callersClassSnPMFList
spm1d/stats/nonparam_old/_snpmlist.py:79
↓ 1 callersClassSnPMFList0D
spm1d/stats/nonparam_old/_snpmlist.py:10
↓ 1 callersClassSnPMFiList
spm1d/stats/nonparam_old/_snpmlist.py:124
↓ 1 callersClassSnPMFiList0D
spm1d/stats/nonparam_old/_snpmlist.py:45
↓ 1 callersClassSnPM_F
spm1d/stats/nonparam/_snpm.py:321
↓ 1 callersClassSnPM_T
spm1d/stats/nonparam/_snpm.py:319
↓ 1 callersClassSnPMiF
spm1d/stats/nonparam/_snpm.py:371
↓ 1 callersClassSnPMiF
spm1d/stats/nonparam_old/_snpm.py:333
↓ 1 callersClassSnPMinference
spm1d/stats/nonparam/_snpm.py:336
↓ 1 callersClassSnPMinference
spm1d/stats/nonparam_old/_snpm.py:298
↓ 1 callersClassStudentsT
spm1d/rft1d/distributions.py:463
↓ 1 callersClass_SmallSampleLargePosNegEffects6
tests/nonparam45/test_np45_roi.py:74
ClassANOVA1
spm1d/stats/anova/designs.py:110
ClassANOVA1rm
spm1d/stats/anova/designs.py:141
ClassANOVA2
spm1d/stats/anova/designs.py:196
ClassANOVA2nested
spm1d/stats/anova/designs.py:241
ClassANOVA2onerm
Only B is an RM factor.
spm1d/stats/anova/designs.py:345
ClassANOVA2rm
Both A and B are RM factors.
spm1d/stats/anova/designs.py:280
ClassANOVA3
spm1d/stats/anova/designs.py:399
ClassANOVA3nested
spm1d/stats/anova/designs.py:455
ClassANOVA3onerm
Only C is an RM factor.
spm1d/stats/anova/designs.py:588
ClassANOVA3rm
A, B and C are all RM factors.
spm1d/stats/anova/designs.py:495
ClassANOVA3tworm
Both B and C are RM factors.
spm1d/stats/anova/designs.py:648
ClassAbdi2010
spm1d/data/uv0d/anova1rm.py:18
ClassAnimalDepression
NOTES: chisq value and p value computed in MATLAB
spm1d/data/mv0d/manova1.py:8
ClassAnimalsInResearch
spm1d/data/uv0d/ci2.py:8
ClassAntidepressant
spm1d/data/uv0d/anova2rm.py:10
ClassBesier2009kneeflexion
spm1d/data/uv1d/anova2.py:8
ClassBesier2009muscleforces
spm1d/data/mv1d/hotellings2.py:10
ClassCIOneSample0D
spm1d/stats/ci.py:292
ClassCIOneSample0DNP
spm1d/stats/nonparam/ci.py:29
ClassCIOneSample0DNP
spm1d/stats/nonparam_old/ci.py:32
ClassCIOneSample1D
spm1d/stats/ci.py:304
ClassCIOneSample1DNP
spm1d/stats/nonparam/ci.py:31
ClassCIOneSample1DNP
spm1d/stats/nonparam_old/ci.py:34
ClassCIPairedDifference0D
spm1d/stats/ci.py:298
ClassCIPairedDifference0DNP
spm1d/stats/nonparam/ci.py:41
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