LinearTerm

class liesel_ptm.LinearTerm(x, name, prior=None)

Bases: Term

Linear function of one or more covariates.

Parameters:

• x (Any) – Covariate array.

• name (str) – Unique name of the covariate term.

• prior (Optional[Dist]) – Joint prior distribution for the regression coefficients. If None, uses a constant prior. (default: None)

Methods

predict	Computes predicted values given an array of posterior samples.
predict_elementwise	Computes predicted values given an array of posterior samples.
summarise_by_quantiles	Computes a posterior summary for this term based on quantiles.
summarise_by_samples	Computes a posterior summary for this term based on a subsample from the posterior.

Attributes

hyper_parameters	List of hyperparameter names associated with this term.
nuts_params
observed_value	Array of observed x values.
parameters	List of parameter names associated with this term.
value	Evaluation of this term.
x	Covariate node.
coef	Regression coefficient node.
smooth	Node for the evaluated linear term x @ coef.
mcmc_kernels	List of liesel.goose.kernel.Kernel MCMC kernel classes.