Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings
BayesSUR_internal
Fitting BayesSUR models
coef method for class BayesSUR
expected log pointwise predictive density
get fitted responses
extract the posterior mean of parameters
create a selection of plots
plot conditional predictive ordinate
plot heatmap of estimators
plot graph for response variables
plot Manhattan-like plots
plot MCMC diagnostic plots
plot network representation of the associations between responses and ...
predict method for class BayesSUR
print method for class BayesSUR
summary method for class BayesSUR
Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2024) <doi:10.1093/jrsssc/qlad102>.