% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/MFItoRAU.R
\name{.convert_dilution_to_mfi}
\alias{.convert_dilution_to_mfi}
\title{Convert known dilution to mfi from fitted standard curve}
\usage{
.convert_dilution_to_mfi(dilution, params)
}
\arguments{
\item{dilution}{Known dilution of samples}

\item{params}{Known parameters for five parameter logistic fit.}
}
\value{
Returns the predicted mfi of a sample with known dilution.
}
\description{
Convert dilution to predicted mfi using known standard curve fit.
}
\examples{
# This function is typically called internally by higher-level workflows.
# Below is a minimal runnable example using dummy parameters.

# Five-parameter logistic model typically expects parameters in the order:
# a, b, c, d, e  (e often log-transformed)
dummy_params <- c(a = 10000, b = 1.2, c = 0.05, d = 50, e = log(0.01))

# Example dilution value
dilution_example <- 0.1

# Predict MFI from the dummy standard curve
.convert_dilution_to_mfi(dilution_example, dummy_params)

}
\author{
Eamon Conway
}
