Pipeline for Dose-Response Curve Analysis
Average response variable
Blank correct response variable
Check for an effect
Configuration functions for the runtoxdrc pipeline
Check for groups with high CV
Get point estimates from model
Generate metadata from a dataframe
Compare model fits and select best model
Normalize response variable
Check for positive control effect
Remove outliers iteratively using Grubbs' test.
Point estmation pipeline
Modelling configuration for for the runtoxdrc pipeline.
Set normalization configuration for the runtoxdrc pipeline.
#' Output configuration for for the runtoxdrc pipeline.
Set quality control options for the runtoxdrc pipeline.
Toxicity configuration for for the runtoxdrc pipeline.
toxdrc: Pipeline for Dose-Response Curve Analysis
Provides a variety of tools for assessing dose response curves, with an emphasis on toxicity test data. The main feature of this package are modular functions which can be combined through the namesake pipeline, 'runtoxdrc', to automate the analysis for large and complex datasets. This includes optional data preprocessing steps, like outlier detection, solvent effects, blank correction, averaging technical replicates, and much more. Additionally, this pipeline is adaptable to any long form dataset, and does not require specific column or group naming to work.