pyhrf.jde.drift.DriftARSampler(do_sampling=True, use_true_value=False, val_ini=None)¶Bases: pyhrf.xmlio.Initable, pyhrf.jde.samplerbase.GibbsSamplerVariable
Gibbs sampler of the parameters modelling the low frequency drift in the fMRI time course, in the case of AR noise
checkAndSetInitValue(variables)¶computeVarYTilde(varNrls, varXh)¶fillOutputs2(outputs, iROI=-1)¶finalizeSampling()¶initOutputs2(outputs, nbROI=-1)¶linkToData(dataInput)¶sampleNextAlt(variables)¶Define the behaviour of the variable at each sampling step when its sampling is not activated.
sampleNextInternal(variables)¶Define the behaviour of the variable at each sampling step when its sampling is not activated. Must be overriden in child classes.
samplingWarmUp(variables)¶#TODO : comment
updateNorm()¶updateVarYmDrift()¶pyhrf.jde.drift.DriftSampler(do_sampling=True, use_true_value=False, val_ini=None)¶Bases: pyhrf.xmlio.Initable, pyhrf.jde.samplerbase.GibbsSamplerVariable
Gibbs sampler of the parameters modelling the low frequency drift in the fMRI time course, in the case of white noise.
checkAndSetInitValue(variables)¶getOutputs()¶linkToData(dataInput)¶sampleNextInternal(variables)¶Define the behaviour of the variable at each sampling step when its sampling is not activated. Must be overriden in child classes.
updateNorm()¶pyhrf.jde.drift.DriftSamplerWithRelVar(do_sampling=True, use_true_value=False, val_ini=None)¶Bases: pyhrf.jde.drift.DriftSampler
Gibbs sampler of the parameters modelling the low frequency drift in the fMRI time course, in the case of white noise.
checkAndSetInitValue(variables)¶getOutputs()¶linkToData(dataInput)¶sampleNextInternal(variables)¶Define the behaviour of the variable at each sampling step when its sampling is not activated. Must be overriden in child classes.
updateNorm()¶pyhrf.jde.drift.ETASampler(do_sampling=True, use_true_value=False, val_ini=array([ 1.]))¶Bases: pyhrf.xmlio.Initable, pyhrf.jde.samplerbase.GibbsSamplerVariable
Gibbs sampler of the variance of the Inverse Gamma prior used to regularise the estimation of the low frequency drift embedded in the fMRI time course
checkAndSetInitValue(variables)¶linkToData(dataInput)¶sampleNextInternal(variables)¶Define the behaviour of the variable at each sampling step when its sampling is not activated. Must be overriden in child classes.
pyhrf.jde.drift.ETASampler_MultiSess(do_sampling=True, use_true_value=False, val_ini=array([ 1.]))¶Bases: pyhrf.jde.drift.ETASampler
linkToData(dataInput)¶sampleNextInternal(variables)¶Define the behaviour of the variable at each sampling step when its sampling is not activated. Must be overriden in child classes.
pyhrf.jde.drift.sampleDrift(varInvSigma_drift, ptLambdaY, dim)¶