Sample Size estimation function using uniroot

Usage

uniroot_ss(
  target_power,
  logmean,
  abs_lfc,
  model,
  xmin = log2(10),
  xmax = log2(5000),
  maxiter = 10000,
  max_report = 2000
)

target_power: Numeric value specifying the desired statistical power.
logmean: Numeric value representing the log of the mean abundance.
abs_lfc: Numeric value representing the absolute log fold change.
model: A fitted GAM/SCAM model used to predict statistical power.
xmin: Numeric value giving the minimum sample size considered in the search.
xmax: Numeric value giving the maximum sample size considered in the search.
maxiter: maximum number of iterations
max_report: maximum group sample size to be predicted. Any predicted sample size that exceed max_report will be reported as "> max_report"

A numeric value corresponding to the estimated sample size required to achieve the target power.