mean_titers: Calculate the geometric mean titer of a set of titers

In shwilks/meantiter: Calculate GMTs using different approaches for handling nd titers

Description

Calculate the geometric mean titer of a set of titers

Usage

mean_titers(
  titers,
  method,
  level = 0.95,
  sd = NA,
  dilution_stepsize,
  prior_mean_mean = 0,
  prior_mean_sd = 100,
  prior_sd_shape = 3,
  prior_sd_scale = 1/4,
  options = list()
)

Arguments

titers	A vector of titers
method	The method to use when dealing with censored titers (like '<10'), one of "replace_nd", "exclude_nd", "truncated_normal"
level	The confidence level to use when calculating confidence intervals
sd	By setting this you can fix the standard deviation assumed when finding parameters for the normal distribution when using the "truncated_normal" approach
dilution_stepsize	The dilution stepsize used in the assay, see 'calc_titer_lims()'
options	A named list of options to pass to 'titer_fit_options()'

shwilks/meantiter documentation built on Dec. 23, 2021, 1:28 a.m.