eb_check: EB Assumption Check

In ComBatFamQC: Comprehensive Batch Effect Diagnostics and Harmonization

EB Assumption Check

Description

Generate the empirical and prior distribution of both the location parameter gamma and the scale parameter delta.

Usage

eb_check(
  data,
  bat,
  covar = NULL,
  model = lm,
  formula = NULL,
  robust.LS = FALSE,
  ref.batch = NULL,
  ...
)

Arguments

data	n x p data frame or matrix of observations where p is the number of features and n is the number of subjects.
bat	Factor indicating batch (often equivalent to site or scanner).
covar	Data frame or matrix of covariates supplied to model.
model	The model function that ComBat Family supports: lm, lmer, gam.
formula	Formula for model starting with ⁠y ~⁠ where y represents each feature.
robust.LS	If TRUE, uses robust location and scale estimators for error variance and site effect parameters. Currently uses median and biweight midvariance.
ref.batch	Reference batch, must take value in levels(bat).
...	Additional arguments to model.

Value

eb_check returns a dataframe containing the empirical and prior distribution of both the location parameter (gamma) and the scale parameter (delta).

Examples

eb_check(data = adni[1:500,43:53], bat = as.factor(adni$manufac[1:500]),
covar = adni[1:500, c("AGE", "SEX")], model = lm, formula = y ~ AGE + SEX)

ComBatFamQC documentation built on April 4, 2025, 12:24 a.m.