Package: ec50estimator 0.2.0

Kaique dos S. Alves

ec50estimator: An Automated Way to Estimate EC50 for Stratified Datasets

An implementation for estimating Effective control to 50% of growth inhibition (EC50) for multi isolates and stratified datasets. It implements functions from the drc package in a way that is displayed a tidy data.frame as output. Info about the drc package is available in Ritz C, Baty F, Streibig JC, Gerhard D (2015) <doi:10.1371/journal.pone.0146021>.

Authors:Kaique dos S. Alves [aut, cre]

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ec50estimator.pdf |ec50estimator.html✨
ec50estimator/json (API)

# Install 'ec50estimator' in R:
install.packages('ec50estimator', repos = c('https://alvesks.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/alvesks/ec50estimator/issues

Datasets:

On CRAN:

4.29 score 39 scripts 173 downloads 2 exports 69 dependencies

Last updated 3 years agofrom:8b41689ea4. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winWARNINGOct 27 2024
R-4.5-linuxWARNINGOct 27 2024
R-4.4-winWARNINGOct 27 2024
R-4.4-macWARNINGOct 27 2024
R-4.3-winWARNINGOct 27 2024
R-4.3-macWARNINGOct 27 2024

Exports:ec50_multimodelestimate_EC50

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11DerivdoBydplyrdrcfansifarverFormulagenericsggplot2gluegtablegtoolsisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmultcompmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplotrixpurrrquantregR6RColorBrewerRcppRcppEigenrlangsandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselectutf8vctrsviridisLitewithrzoo

ec50estimator

Kaique S Alves

Rendered fromhow_to_use.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2020-09-07
Started: 2020-08-31