my.Igamma.inv

bmonomvn.read.traces

addy

regress.ls

regress.lars

regress.pls

regress.ridge

opt.ridge

internal

monomvn-internal

Estimation of multivariate normal data of arbitrary dimension
	     where the pattern of missing data is monotone. Through the use of
	     parsimonious/shrinkage regressions (plsr, pcr, lasso, ridge, etc.),
	     where standard regressions fail, the package can handle an 
             (almost) arbitrary amount of missing data.  The current version 
             supports maximum likelihood inference and an alpha implementation
             of a Bayesian version employing a Bayesian lasso.  A fully 
             functional standalone (alpha) interface to the Bayesian lasso 
             (from Park & Casella) is also provided

Robert Gramacy

monomvn

Estimation for multivariate normal data with monotone missingness

monomvn-internal function

Internal Monomvn Functions

monomvn-internal: Internal Monomvn Functions

Description

Arguments

Details