# Estimation for multivariate normal and Student-t data with monotone missingness

## Documentation for package ‘monomvn’ version 1.8-6

- DESCRIPTION file.

## Help Pages

monomvn-package | Estimation for Multivariate Normal and Student-t Data with Monotone Missingness
blasso | Bayesian Lasso/NG and Ridge Regression
bmonomvn | Bayesian Estimation for Multivariate Normal Data with Monotone Missingness
bridge | Bayesian Lasso/NG 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
posdef.approx | Find the Nearest Positive Definite Matrix
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