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groupTesting  

Simulating and Modeling Group (Pooled) Testing Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("groupTesting", "1.3.0")



Attach the package and use:
library("groupTesting")
Maintained by
Md S. Warasi
[Scholar Profile | Author Map]
First Published: 2021-11-22
Latest Update: 2023-11-06
Description:
Provides an expectation-maximization (EM) algorithm using the approach introduced in Warasi (2021) . The EM algorithm can be used to estimate the prevalence (overall proportion) of a disease and to estimate a binary regression model from among the class of generalized linear models based on group testing data. The estimation framework we consider offers a flexible and general approach; i.e., its application is not limited to any specific group testing protocol. Consequently, the EM algorithm can model data arising from simple pooling as well as advanced pooling such as hierarchical testing, array testing, and quality control pooling. Also, provided are functions that can be used to conduct the Wald tests described in Buse (1982) and to simulate the group testing data described in Kim et al. (2007) .
How to cite:
Md S. Warasi (2021). groupTesting: Simulating and Modeling Group (Pooled) Testing Data. R package version 1.3.0, https://cran.r-project.org/web/packages/groupTesting. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0.0 (2021-11-22 10:00), 1.1.0 (2023-11-06 09:10)
Other packages that cited groupTesting R package
View groupTesting citation profile
Other R packages that groupTesting depends, imports, suggests or enhances
Complete documentation for groupTesting
Functions, R codes and Examples using the groupTesting R package
Some associated functions: array.gt.simulation . glm.gt . glmLink . hier.gt.simulation . prop.gt . waldTest . 
Some associated R codes: gtcode.R . linkfns.R . propEM.R . regEM.R . waldTest.R .  Full groupTesting package functions and examples
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