Package: ed50simulation 0.1.1

ed50simulation: Estimate ED50 and Its Confidence Interval

Functions of five estimation method for ED50 (50 percent effective dose) are provided, and they are respectively Dixon-Mood method (1948) <doi:10.2307/2280071>, Choi's original turning point method (1990) <doi:10.2307/2531453> and it's modified version given by us, as well as logistic regression and isotonic regression. Besides, the package also supports comparison between two estimation results.

Authors:Fengru Wang, Yongbo Gan, Zhijian Yang, Wei Mei

ed50simulation_0.1.1.tar.gz
ed50simulation_0.1.1.zip(r-4.5)ed50simulation_0.1.1.zip(r-4.4)ed50simulation_0.1.1.zip(r-4.3)
ed50simulation_0.1.1.tgz(r-4.4-any)ed50simulation_0.1.1.tgz(r-4.3-any)
ed50simulation_0.1.1.tar.gz(r-4.5-noble)ed50simulation_0.1.1.tar.gz(r-4.4-noble)
ed50simulation_0.1.1.tgz(r-4.4-emscripten)ed50simulation_0.1.1.tgz(r-4.3-emscripten)
ed50simulation.pdf |ed50simulation.html
ed50simulation/json (API)

# Install 'ed50simulation' in R:
install.packages('ed50simulation', repos = c('https://raulwangfr.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

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

7 exports 0.00 score 1 dependencies 15 scripts 139 downloads

Last updated 5 years agofrom:2faec74a17. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winOKSep 02 2024
R-4.5-linuxOKSep 02 2024
R-4.4-winOKSep 02 2024
R-4.4-macOKSep 02 2024
R-4.3-winOKSep 02 2024
R-4.3-macOKSep 02 2024

Exports:bootBC.cibootIsotonicRegressionbootIsotonicResamplecompareestimategenerateDatapreparePava

Dependencies:boot