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weightedScores (version 0.9.5.4)

Weighted Scores Method for Regression Models with Dependent Data

Description

The weighted scores method and composite likelihood information criteria as an intermediate step for variable/correlation selection for longitudinal ordinal and count data in Nikoloulopoulos, Joe and Chaganty (2011) , Nikoloulopoulos (2016) and Nikoloulopoulos (2017) .

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Version

Install

install.packages('weightedScores')

Monthly Downloads

250

Version

0.9.5.4

License

GPL (>= 2)

Maintainer

Aristidis Nikoloulopoulos

Last Published

August 23rd, 2026

Functions in weightedScores (0.9.5.4)

Derivatives of Multivariate Normal Rectangle Probabilities

COVARIANCE MATRIX OF THE UNIVARIATE SCORES

WEIGHT MATRICES FOR THE ESTIMATING EQUATIONS

SOLVING THE WEIGHTED SCORES EQUATIONS WITH INPUTS OF THE WEIGHT MATRICES AND THE DATA

MVN Rectangle Probabilities

THE WEIGHTED SCORES EQUATIONS WITH INPUTS OF THE WEIGHT MATRICES AND THE DATA

DENSITY AND CDF OF THE UNIVARIATE MARGINAL DISTRIBUTION

The toenail infection data

THE WEIGHTED SCORES METHOD WITH INPUTS OF THE DATA

weightedScores-package

Weighted Scores Method for Regression Models with Dependent Data

INDEPENDENT ESTIMATING EQUATIONS FOR BINARY AND COUNT REGRESSION

NEGATIVE LOG-LIKELIHOOD ASSUMING INDEPEDENCE WITHIN CLUSTERS

CL1 INFORMATION CRITERIA

OPTIMIZATION ROUTINE FOR BIVARIATE COMPOSITE LIKELIHOOD FOR MVN COPULA

Maximum Likelihood for Ordinal Model

Rheumatoid Arthritis Clinical Trial

APPROXIMATION OF BIVARIATE STANDARD NORMAL DISTRIBUTION

Hospital Visit Data

INVERSE GODAMBE MATRIX

BIVARIATE COMPOSITE LIKELIHOOD FOR MULTIVARIATE NORMAL COPULA WITH CATEGORICAL AND COUNT REGRESSION