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weightedScores  

Weighted Scores Method for Regression Models with Dependent Data
View on CRAN: Click here


Download and install weightedScores package within the R console
Install from CRAN:
install.packages("weightedScores")

Install from Github:
library("remotes")
install_github("cran/weightedScores")

Install by package version:
library("remotes")
install_version("weightedScores", "0.9.5.3")



Attach the package and use:
library("weightedScores")
Maintained by
Aristidis K. Nikoloulopoulos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-10-01
Latest Update: 2020-03-23
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)<doi:10.1093/biostatistics/kxr005>, Nikoloulopoulos (2016) <doi:10.1002/sim.6871> and Nikoloulopoulos (2017) <doi:10.48550/arXiv.1510.07376>.
How to cite:
Aristidis K. Nikoloulopoulos (2011). weightedScores: Weighted Scores Method for Regression Models with Dependent Data. R package version 0.9.5.3, https://cran.r-project.org/web/packages/weightedScores. Accessed 27 Jan. 2025.
Previous versions and publish date:
0.9.1 (2014-11-07 00:18), 0.9.5.1 (2015-10-22 22:14), 0.9 (2011-10-01 10:19)
Other packages that cited weightedScores R package
View weightedScores citation profile
Other R packages that weightedScores depends, imports, suggests or enhances
Complete documentation for weightedScores
Functions, R codes and Examples using the weightedScores R package
Some associated functions: CLIC . approxbvncdf . arthritis . bcl . cl1 . godambe . iee . iee.ord . marglik . margmodel . mvn.deriv . mvnapp . scoreCov . solvewtsc . weightMat . weightedScores-package . wtsc . wtsc.wrapper . 
Some associated R codes: CLIC-ord.R . mvn.deriv.R . mvnapp.R . ord.reg.univar.R . wtsc-ord.R .  Full weightedScores package functions and examples
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