Index

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__init__() (pydygp.linlatentforcemodels.BaseMLFM method) (pydygp.linlatentforcemodels.GibbsMLFMAdapGrad method) (pydygp.linlatentforcemodels.MLFMAdapGrad method) (pydygp.linlatentforcemodels.MLFMSuccApprox method) (pydygp.probabilitydistributions.ChiSquare method) (pydygp.probabilitydistributions.Gamma method) (pydygp.probabilitydistributions.GeneralisedInverseGaussian method) (pydygp.probabilitydistributions.InverseGamma method) (pydygp.probabilitydistributions.MultivariateNormal method) (pydygp.probabilitydistributions.Normal method) (pydygp.probabilitydistributions.UnivariateProbabilityDistribution method)

B

BaseMLFM (class in pydygp.linlatentforcemodels)

C

ChiSquare (class in pydygp.probabilitydistributions)

F

fit() (pydygp.linlatentforcemodels.GibbsMLFMAdapGrad method) (pydygp.linlatentforcemodels.MLFMAdapGrad method) (pydygp.linlatentforcemodels.MLFMSuccApprox method)

G

g_condpdf() (pydygp.linlatentforcemodels.GibbsMLFMAdapGrad method) Gamma (class in pydygp.probabilitydistributions)

GeneralisedInverseGaussian (class in pydygp.probabilitydistributions) GibbsMLFMAdapGrad (class in pydygp.linlatentforcemodels)

I

InverseGamma (class in pydygp.probabilitydistributions)

L

log_likelihood() (pydygp.linlatentforcemodels.GibbsMLFMAdapGrad method) (pydygp.linlatentforcemodels.MLFMAdapGrad method) logtransform() (pydygp.probabilitydistributions.ChiSquare method) (pydygp.probabilitydistributions.Gamma method) (pydygp.probabilitydistributions.GeneralisedInverseGaussian method) (pydygp.probabilitydistributions.InverseGamma method) (pydygp.probabilitydistributions.MultivariateNormal method) (pydygp.probabilitydistributions.Normal method) (pydygp.probabilitydistributions.UnivariateProbabilityDistribution method)

M

marginal_covar_matrix() (pydygp.linlatentforcemodels.MLFMSuccApprox method) marginal_covar_matrix2() (pydygp.linlatentforcemodels.MLFMSuccApprox method)

MLFMAdapGrad (class in pydygp.linlatentforcemodels) MLFMSuccApprox (class in pydygp.linlatentforcemodels) MultivariateNormal (class in pydygp.probabilitydistributions)

N

Normal (class in pydygp.probabilitydistributions)

P

predict_lf() (pydygp.linlatentforcemodels.GibbsMLFMAdapGrad method) (pydygp.linlatentforcemodels.MLFMAdapGrad method)

prior_logpdf() (pydygp.linlatentforcemodels.MLFMSuccApprox method) pydygp.linlatentforcemodels (module), [1] pydygp.probabilitydistributions (module), [1]

S

setup_latentforces() (pydygp.linlatentforcemodels.BaseMLFM method) (pydygp.linlatentforcemodels.GibbsMLFMAdapGrad method) (pydygp.linlatentforcemodels.MLFMAdapGrad method) (pydygp.linlatentforcemodels.MLFMSuccApprox method)

sim() (pydygp.linlatentforcemodels.BaseMLFM method) (pydygp.linlatentforcemodels.GibbsMLFMAdapGrad method) (pydygp.linlatentforcemodels.MLFMAdapGrad method) (pydygp.linlatentforcemodels.MLFMSuccApprox method) sparse_vecK_aff_rep() (pydygp.linlatentforcemodels.MLFMSuccApprox method)

U

UnivariateProbabilityDistribution (class in pydygp.probabilitydistributions)

X

x_condpdf_mo() (pydygp.linlatentforcemodels.GibbsMLFMAdapGrad method)