fit_ebayes: Fit ebayes model

In alexvpickering/crossmeta: Cross Platform Meta-Analysis of Microarray Data

Fit ebayes model

Description

Fit ebayes model

Usage

fit_ebayes(
  lm_fit,
  contrasts,
  robust = TRUE,
  trend = FALSE,
  allow.no.resid = FALSE
)

Arguments

lm_fit	Result of call to run_limma
contrasts	Character vector of contrasts to fit.
robust	logical, should the estimation of df.prior and var.prior be robustified against outlier sample variances?
trend	logical, should an intensity-dependent trend be allowed for the prior variance? If FALSE then the prior variance is constant. Alternatively, trend can be a row-wise numeric vector, which will be used as the covariate for the prior variance.
allow.no.resid	Allow no residual degrees of freedom? if TRUE and the fit contrast matrix has no residual degrees of freedom, eBayes fit is skipped and the result of contrasts.fit is returned.

Value

result of eBayes

alexvpickering/crossmeta documentation built on May 23, 2024, 5:06 a.m.