Implements the SoftBart Algorithm

Implements the SoftBart model of described by Linero and Yang (2018) , with the optional use of a sparsity-inducing prior to allow for variable selection. For usability, the package maintains the same style as the 'BayesTree' package.


Reference manual

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install.packages("SoftBart")

1.0.3 by Antonio R. Linero, a year ago


Browse source code at https://github.com/cran/SoftBart


Authors: Antonio R. Linero [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, glmnet, scales, methods, caret, truncnorm, progress, MASS

Linking to Rcpp, RcppArmadillo


Imported by BayesPocket.


See at CRAN