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pql  

A Partitioned Quasi-Likelihood for Distributed Statistical Inference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pql", "0.1.0")



Attach the package and use:
library("pql")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-21
Latest Update: 2024-05-21
Description:
In the big data setting, working data sets are often distributed on multiple machines. However, classical statistical methods are often developed to solve the problems of single estimation or inference. We employ a novel parallel quasi-likelihood method in generalized linear models, to make the variances between different sub-estimators relatively similar. Estimates are obtained from projection subsets of data and later combined by suitably-chosen unknown weights. The philosophy of the package is described in Guo G. (2020) <doi:10.1007/s00180-020-00974-4>.
How to cite:
Guangbao Guo (2024). pql: A Partitioned Quasi-Likelihood for Distributed Statistical Inference. R package version 0.1.0, https://cran.r-project.org/web/packages/pql. Accessed 23 Nov. 2024.
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