| Name : R-groupTesting
| |
| Version : 1.3.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.1.1
| Date : 2024-09-10 20:46:33
|
| Group : Development/Libraries/Other
| Source RPM : R-groupTesting-1.3.0-lp156.1.1.src.rpm
|
| Size : 0.17 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Simulating and Modeling Group (Pooled) Testing Data
|
Description :
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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
