Package index • bnplasso

All functions

balasso.lm(): Fit linear regression models with a Bayesian adaptive Lasso prior

blasso.lm(): Fit linear regression models with a Bayesian Lasso prior

bnplasso-package bnplasso: bnplasso: Fit linear regression models with the Nonparametric Bayesian Lasso

bnplasso.lm(): Fit linear regression models with a nonparametric Bayesian Lasso prior

coef(<lmBayes>): Regression coefficients from an object of class lmBayes

elppd(): Expected log pointwise predictive density (elppd)

fitted(<lmBayes>): Fitted Values from an object of class lmBayes

plot(<lmBayes>): Plot the results and diagnostics for an object of class lmBayes

point.estimates(): Point estimates of the regression coefficients for an object of class lmBayes

predict(<lmBayes>): Posterior predictive distribution for new data

print(<lmBayes>): Print the results for an object of class 'lmBayes'

residuals(<lmBayes>): Residuals from an object of class lmBayes

summary(<lmBayes>): Summary table of the results for an object of class 'lmBayes'