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nplr  

N-Parameter Logistic Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("nplr", "0.1-8")



Attach the package and use:
library("nplr")
Maintained by
Frederic Commo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-05-04
Latest Update: 2025-02-19
Description:
Performing drug response analyses and IC50 estimations using n-Parameter logistic regression. Can also be applied to proliferation analyses.
How to cite:
Frederic Commo (2014). nplr: N-Parameter Logistic Regression. R package version 0.1-8, https://cran.r-project.org/web/packages/nplr. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:25), 0.1-1 (2014-05-13 19:55), 0.1-2 (2015-07-08 14:46), 0.1-3 (2015-07-11 18:32), 0.1-4 (2015-08-01 20:34), 0.1-5 (2016-09-04 20:14), 0.1-6 (2016-11-20 21:46), 0.1-7 (2016-12-28 16:38), 0.1 (2014-05-04 07:40)
Other packages that cited nplr R package
View nplr citation profile
Other R packages that nplr depends, imports, suggests or enhances
Complete documentation for nplr
Functions, R codes and Examples using the nplr R package
Some associated functions: convertToProp . getEstimates . nplr . nplrAccessors . overlay . plot.nplr . summary.nplr . 
Some associated R codes: AllClasses.R . AllGenerics.R . convertToProp.R . getEstimates.R . helpers.R . nplr.R . overlay.R . plot.nplr.R . summary.nplr.R .  Full nplr package functions and examples
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