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ed50simulation  

Estimate ED50 and Its Confidence Interval
View on CRAN: Click here


Download and install ed50simulation package within the R console
Install from CRAN:
install.packages("ed50simulation")

Install from Github:
library("remotes")
install_github("cran/ed50simulation")

Install by package version:
library("remotes")
install_version("ed50simulation", "0.1.1")



Attach the package and use:
library("ed50simulation")
Maintained by
Fengru Wang
[Scholar Profile | Author Map]
First Published: 2019-10-28
Latest Update: 2019-10-28
Description:
Functions of five estimation method for ED50 (50 percent effective dose) are provided, and they are respectively Dixon-Mood method (1948) , Choi's original turning point method (1990) 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.
How to cite:
Fengru Wang (2019). ed50simulation: Estimate ED50 and Its Confidence Interval. R package version 0.1.1, https://cran.r-project.org/web/packages/ed50simulation. Accessed 01 May. 2025.
Previous versions and publish date:
No previous versions
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View ed50simulation citation profile
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Complete documentation for ed50simulation
Functions, R codes and Examples using the ed50simulation R package
Some associated functions: bootBC.ci . bootIsotonicRegression . bootIsotonicResample . compare . estimate . gTableOrigin . generateData . groupS . groupSN . preparePava . 
Some associated R codes: bootBC.ci.R . bootIsotonicRegression.R . bootIsotonicResample.R . compare.R . estimate.R . gTableOrigin.R . generateData.R . groupS.R . groupSN.R . preparePava.R .  Full ed50simulation package functions and examples
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