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ec50estimator: an easy way to estimate EC50 for multi-isolate datasets

Introduction

ec50estimator provides a quick, automated way to estimate the effective concentration that reduces growth by 50% (EC50) from multi-isolate dose-response datasets. It is designed for scientists who need a simple workflow for grouped or stratified experiments while still using the modelling engine from drc.

The package now keeps runtime dependencies intentionally small: drc is the only imported package.

Download and install

Install the stable release from CRAN.

install.packages("ec50estimator")

A development version can be download using the following code:

pak::pak("AlvesKS/ec50estimator")

Quick example 

library(ec50estimator)

data(multi_isolate)

ec50 <- estimate_EC50(
  growth ~ dose,
  data = multi_isolate,
  isolate_col = "isolate",
  strata_col = c("field", "fungicida"),
  fct = drc::LL.3(),
  interval = "delta"
)

head(ec50)