bayesmatch_cpp: Rcpp implementation for Bayesian SVM.
In SVMMatch: Causal Effect Estimation and Diagnostics with Support Vector Machines

bayesmatch_cpp is the Rcpp object that fits the Bayesian SVM. Primarily for internal use.

	bayesmatch_cpp(X0, boldX0, lambda0, treat0, total_gibbs0, thin0,
                 param0, dv0, nu0, burnin0)

`X0`	Scaled covariate matrix.
`boldX0`	Scaled and transformed covariate matrix.
`lambda0`	Vector of initial weights for each observation
`treat0`	Binary treatment vector.
`total_gibbs0`	Number of posterior draws to save.
`thin0`	Number of draws to thin.
`param0`	No longer used. Set to 0.
`dv0`	Outcome variable.
`nu0`	Initial estimate for prior weight.
`burnin0`	Number of posterior draws discarded.