Package: groupTesting 1.3.0

Md S. Warasi

groupTesting: Simulating and Modeling Group (Pooled) Testing Data

Provides an expectation-maximization (EM) algorithm using the approach introduced in Warasi (2023) <doi:10.1080/03610918.2021.2009867>. 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) <doi:10.1080/00031305.1982.10482817> and to simulate the group testing data described in Kim et al. (2007) <doi:10.1111/j.1541-0420.2007.00817.x>. We offer a function to compute relative efficiency measures, which can be used to optimize the maximum likelihood estimator of disease prevalence.

Authors:Md S. Warasi [aut, cre]

groupTesting_1.3.0.tar.gz
groupTesting_1.3.0.tar.gz(r-4.5-noble)groupTesting_1.3.0.tar.gz(r-4.4-noble)
groupTesting.pdf |groupTesting.html
groupTesting/json (API)

# Install 'groupTesting' in R:
install.packages('groupTesting', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • fortran– Runtime library for GNU Fortran applications

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.56 score 18 scripts 255 downloads 7 exports 40 dependencies

Last updated 4 months agofrom:3135f0a881. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linux-x86_64OKOct 31 2024

Exports:array.gt.simulationglm.gtglmLinkhier.gt.simulationmle.prop.effprop.gtwaldTest

Dependencies:binGroup2clicolorspacefansifarverggplot2gluegmpgtableisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmgcvmunsellnlmepartitionspillarpkgconfigpolynompracmaR6rBeta2009rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangscalessetstibbleutf8vctrsviridisLitewithr