| monomvn-package | Estimation for Multivariate Normal and Student-t Data with Monotone Missingness |
| bhs | Bayesian Lasso/NG, Horseshoe, and Ridge Regression |
| blasso | Bayesian Lasso/NG, Horseshoe, and Ridge Regression |
| bmonomvn | Bayesian Estimation for Multivariate Normal Data with Monotone Missingness |
| bridge | Bayesian Lasso/NG, Horseshoe, and Ridge Regression |
| cement | Hald's Cement Data |
| cement.miss | Hald's Cement Data |
| default.QP | Generating a default Quadratic Program for bmonomvn |
| Ellik.norm | RMSE, Expected Log Likelihood and KL Divergence Between Two Multivariate Normal Distributions |
| kl.norm | RMSE, Expected Log Likelihood and KL Divergence Between Two Multivariate Normal Distributions |
| market | Financial Returns data from NYSE and AMEX |
| market.test | Financial Returns data from NYSE and AMEX |
| monomvn | Maximum Likelihood Estimation for Multivariate Normal Data with Monotone Missingness |
| monomvn.solve.QP | Solve a Quadratic Program |
| plot.blasso | Summarizing Bayesian Lasso Output |
| plot.monomvn | Plotting bmonomvn output |
| plot.summary.monomvn | Summarizing monomvn output |
| print.blasso | Summarizing Bayesian Lasso Output |
| print.monomvn | Summarizing monomvn output |
| print.summary.blasso | Summarizing Bayesian Lasso Output |
| print.summary.monomvn | Summarizing monomvn output |
| randmvn | Randomly Generate a Multivariate Normal Distribution |
| regress | Switch function for least squares and parsimonious monomvn regressions |
| returns | Financial Returns data from NYSE and AMEX |
| returns.test | Financial Returns data from NYSE and AMEX |
| rmono | Randomly Impose a Monotone Missingness Pattern |
| rmse.muS | RMSE, Expected Log Likelihood and KL Divergence Between Two Multivariate Normal Distributions |
| rwish | Draw from the Wishart Distribution |
| summary.blasso | Summarizing Bayesian Lasso Output |
| summary.monomvn | Summarizing monomvn output |
| Wishart | Draw from the Wishart Distribution |