zero_sum_prior: Zero sum prior

In kDGLM: Bayesian Analysis of Dynamic Generalized Linear Models

Zero sum prior

Description

Defines the prior of a structural block to be such that the latent states sum zero with probability one.

Usage

zero_sum_prior(
  block,
  var.index = 1:block$n,
  weights = rep(1, length(var.index))
)

Arguments

block	dlm_block object: The structural block.
var.index	integer: The index of the variables from which to set the prior.
weights	numeric: A vector indicating which linear transformation of the data is 0 with probability 1. Default is equivalent to a zero-sum restriction.

Details

The covariance matrix of the evolution and the drift parameter are also altered to guarantee that the zero sum condition will always hold. The discount factor must be the same for all variables whose prior is being modified. For the details about the implementation see \insertCiteArtigoPacote;textualkDGLM.

Value

A dlm_block object with the desired prior.

References

\insertAllCited

See Also

Other auxiliary functions for defining priors.: CAR_prior(), joint_prior()

Examples

polynomial_block(mu = 1, D = 0.95) |>
  block_mult(5) |>
  zero_sum_prior()

kDGLM documentation built on April 4, 2025, 4:44 a.m.