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


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Documentation for package ‘weightedCL’ version 0.5

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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