R: Efficient and Feasible Inference for High-Dimensional Normal Copula Regression Models

# Efficient and Feasible Inference for High-Dimensional Normal Copula Regression Models

## Documentation for package ‘weightedCL’ version 0.7

- DESCRIPTION file

## Help Pages

weightedCL-package | Efficient and feasible inference for high-dimensional normal copula regression models
cl | COMPOSITE LIKELIHOOD ESTIMATION FOR MVN COPULA
cl.ord | COMPOSITE LIKELIHOOD ESTIMATION FOR MVN COPULA
dmargmodel | DENSITY AND CDF OF THE UNIVARIATE MARGINAL DISTRIBUTION
dmargmodel.ord | DENSITY AND CDF OF THE UNIVARIATE MARGINAL DISTRIBUTION
godambe | INVERSE GODAMBE MATRIX
godambe.ord | INVERSE GODAMBE MATRIX
iee | INDEPENDENT ESTIMATING EQUATIONS FOR BINARY AND COUNT REGRESSION
iee.ord | Maximum Likelihood for Ordinal Model
margmodel.ord | DENSITY AND CDF OF THE UNIVARIATE MARGINAL DISTRIBUTION
pbvt | BIVARIATE NORMAL AND STUDENT CDFs WITH VECTORIZED INPUTS
pmargmodel | DENSITY AND CDF OF THE UNIVARIATE MARGINAL DISTRIBUTION
pmargmodel.ord | DENSITY AND CDF OF THE UNIVARIATE MARGINAL DISTRIBUTION
polio | Polio cases in USA from Jan 1970 till Dec 1983
sleep | Infant sleep status data
wcl | SOLVING THE WEIGHTED COMPOSITE LIKELIHOOD ESTIMATING EQUATIONS WITH INPUTS THE WEIGHT MATRICES AND DATA
wcl.ord | SOLVING THE WEIGHTED COMPOSITE LIKELIHOOD ESTIMATING EQUATIONS WITH INPUTS THE WEIGHT MATRICES AND DATA
weightMat | WEIGHT MATRICES FOR THE WEIGHTED COMPOSITE LIKELIHOOD ESTIMATING EQUATIONS
weightMat.ord | WEIGHT MATRICES FOR THE WEIGHTED COMPOSITE LIKELIHOOD ESTIMATING EQUATIONS