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-4.7-any)ed50simulation_0.1.1.zip(r-4.6-any)ed50simulation_0.1.1.zip(r-4.5-any)
ed50simulation_0.1.1.tgz(r-4.6-any)ed50simulation_0.1.1.tgz(r-4.5-any)
ed50simulation_0.1.1.tar.gz(r-4.7-any)ed50simulation_0.1.1.tar.gz(r-4.6-any)
ed50simulation_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ed50simulation/json (API)

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

On CRAN:

Conda:

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

1.18 score 15 scripts 301 downloads 7 exports 1 dependencies

Last updated from:2faec74a17. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK91
source / vignettesOK126
linux-releaseOK84
macos-releaseOK129
macos-oldrelOK177
windows-develOK49
windows-releaseOK67
windows-oldrelOK61
wasm-releaseOK84

Exports:bootBC.cibootIsotonicRegressionbootIsotonicResamplecompareestimategenerateDatapreparePava

Dependencies:boot