View source: R/component_samplers.R
sampleBTF_reg_backfit | R Documentation |
Compute one draw of the T x p
state variable beta
in a DLM using back-band substitution methods.
This model is equivalent to the Bayesian trend filtering (BTF) model applied to p
dynamic regression coefficients corresponding to the design matrix X
,
assuming appropriate (shrinkage/sparsity) priors for the evolution errors. The sampler
here uses a backfitting method that draws each predictor j=1,...,p conditional on the
other predictors (and coefficients), which leads to a faster O(Tp)
algorithm.
However, the MCMC may be less efficient.
sampleBTF_reg_backfit(y, X, beta, obs_sigma_t2, evol_sigma_t2, D = 1)
y |
the |
X |
the |
beta |
the |
obs_sigma_t2 |
the |
evol_sigma_t2 |
the |
D |
the degree of differencing (one or two) |
T x p
matrix of simulated dynamic regression coefficients beta
Missing entries (NAs) are not permitted in y
. Imputation schemes are available.
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