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Model

PTMLocScale
PTMLocScalePredictions
ShapePrior
- ShapePrior.RANDOM_WALK
- ShapePrior.RIDGE
Predictor

Covariate terms

LinearTerm
StructuredAdditiveTerm
PSpline
RandomIntercept

Variable classes

VarWeibull
- VarWeibull.predict()
- VarWeibull.transformed
VarInverseGamma
- VarInverseGamma.predict()
- VarInverseGamma.transformed
VarHalfCauchy
ScaleWeibull
- ScaleWeibull.predict()
ScaleInverseGamma
ScaleHalfCauchy
- ScaleHalfCauchy.predict()
- ScaleHalfCauchy.transformed
SymmetricallyBoundedScalar
TransformedVar
- TransformedVar.predict()
- TransformedVar.transformed

Data generation

PTMLocScaleDataGen
sample_shape()

Helpers

nullspace_remover()
diffpen()
sumzero_term()
sumzero_coef()
bspline_basis()
kn()

.rst

PTMLocScale.shape_param_prior

Contents

PTMLocScale.shape_param_prior

PTMLocScale.shape_param_prior#

PTMLocScale.shape_param_prior#: The prior distribution for the shape parameter.

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PTMLocScale.shape_param_prior

By Johannes Brachem

© Copyright 2023, Johannes Brachem.