Description Usage Arguments Value
Fit nonparametric Bayes shrinkage model with interactions
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niter |
number of iterations |
nburn |
number of burn-in iterations |
X |
n by p matrix of predictor data |
Y |
n by 1 vector of response data |
W |
n by q matrix of covariate data |
scaleY |
logical; if TRUE response will be centered and scaled before model fit |
priors |
list of prior hyperparameters |
intercept |
logical; indicates if an overall intercept should be estimated with covariates |
XWinteract |
logical; indicates if X and W can interact |
list of model estimates, see npb documentation
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