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weightedCL  

Efficient and Feasible Inference for High-Dimensional Normal Copula Regression Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("weightedCL", "0.5")



Attach the package and use:
library("weightedCL")
Maintained by
Aristidis K. Nikoloulopoulos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-10
Latest Update: 2022-10-10
Description:
Estimates high-dimensional multivariate normal copula regression models with the weighted composite likelihood estimating equations in Nikoloulopoulos (2022) <doi:10.48550/arXiv.2203.04619>. It provides autoregressive moving average correlation structures and binary, ordinal, Poisson, and negative binomial regressions.
How to cite:
Aristidis K. Nikoloulopoulos (2022). weightedCL: Efficient and Feasible Inference for High-Dimensional Normal Copula Regression Models. R package version 0.5, https://cran.r-project.org/web/packages/weightedCL
Previous versions and publish date:
No previous versions
Other packages that cited weightedCL R package
View weightedCL citation profile
Other R packages that weightedCL depends, imports, suggests or enhances
Functions, R codes and Examples using the weightedCL R package
Some associated functions: cl . godambe . iee . iee.ord . margmodel . pbvt . polio . sleep . wcl . weightMat . weightedCL-package . 
Some associated R codes: ord.reg.univar.R . pbvt.R . wcl-ord.R . wcl.R .  Full weightedCL package functions and examples
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