Package index • bnplasso

All functions

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
bnplasso.spm(): Fit sparse means models with a nonparametric Bayesian Lasso prior
coclust.point(): Posterior co-clustering plot
coclust.probs(): Posterior co-clustering probabilities plot
coef(<lmBayes>): Regression coefficients
coef(<spmBayes>): Mean parameters
elppd(): Expected log pointwise predictive density (elppd)
fitted(<lmBayes>): Fitted values
fitted(<spmBayes>): Fitted values
get.partition(): Recover a partition
plot(<lmBayes>): Plot the results and diagnostics for an object of class lmBayes
plot(<spmBayes>): Plot the results and diagnostics for an object of class spmBayes
point.estimates(): Point estimates of the regression coefficients
predict(<lmBayes>): Posterior predictive distribution for new data
print(<lmBayes>): Print the results for an object of class lmBayes
print(<spmBayes>): Print the results for an object of class spmBayes
psis.loo(): PSIS-LOO
residuals(<lmBayes>): Residuals from an object of class lmBayes
summary(<lmBayes>): Summary table of the results for an object of class lmBayes
summary(<spmBayes>): Summary table of the results for an object of class spmBayes
widely.aic(): WAIC