DESCRIPTION

Package: sbart
Type: Package
Title: Sequential BART for Imputation of Missing Covariate
Version: 0.1.1
Author: Dandan Xu, Michael Daniels
Maintainer: Aarti Singh <mdstat2016@gmail.com>
Description: Sequential BART is a flexible Bayesian non-parametric approach 
     to impute the missing covariate which involves factoring the joint distribution
     of the covariate with missing-ness into a set of sequential conditionals
     and applying Bayesian additive regression trees (BART) to model each of these Univariate conditionals. 
     The published journal can be found at <https://doi.org/10.1093/biostatistics/kxw009>
     Package provides a function, seqBART(), which computes and returns the imputed values.
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 6.0.1
Depends: R (>= 3.0.2)
Imports: LaplacesDemon (>= 16.0.1),
    msm (>= 1.6.4),
    Rcpp (>= 0.12.8)
LinkingTo: Rcpp (>= 0.12.8)
Suggests: testthat,
    MASS (>= 7.3.45)