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BayesSUR (version 1.2-1)

Bayesian Seemingly Unrelated Regression

Description

Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Banterle et al. (2018) .

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Install

install.packages('BayesSUR')

Monthly Downloads

554

Version

1.2-1

License

MIT + file LICENSE

Maintainer

Zhi Zhao

Last Published

July 19th, 2020

Functions in BayesSUR (1.2-1)

coef.BayesSUR

extract the posterior mean of the coefficients of a "BayesSUR" class object

get.estimator

extract the posterior mean of the parameters

plot.BayesSUR

create a selection of plots for a "BayesSUR" class object

BayesSUR

main function of the package

fitted.BayesSUR

fitted response values corresponds to the posterior mean estimates

elpd

measure the prediction accuracy by the expected log pointwise predictive density

plot.CPO

plot the conditional predictive ordinate

BayesSUR_internal

example_GDSC

Preprocessed data set to mimic a small pharmacogenetic example

plot.MCMCdiag

show trace plots and diagnostic density plots

predict.BayesSUR

predict responses corresponding to the posterior mean of the coefficients, return posterior mean of coefficients or indices of nonzero coefficients

plot.response.graph

plot the estimated graph for multiple response variables

targetGene

plot.Manhattan

plot Manhattan-like plots for marginal posterior inclusion probabilities (mPIP) and numbers of responses of association for predictors

print.BayesSUR

print a short summary of the Bayesian Seemingly Unrelated Regressions Fits

summary.BayesSUR

summarizing Bayesian Seemingly Unrelated Regressions Fits

plot.estimator

plot the posterior mean estimators

example_eQTL

Simulated data set to mimic a small expression quantitative trait loci (eQTL) example

plot.network

plot the network representation of the associations between responses and predictors