Compute Significance for Pairwise Covariate Contrast — compute_contrast

Calculates p-values and adjusted q-values for contrasts between two effects within a specific cell type.

Usage

compute_contrast_significance(
  input_list,
  cell_type,
  effect_names,
  beta_name = "beta_estimate",
  covariance_name = "vcov",
  sided = 2,
  direction = "pos"
)

Arguments

input_list: A list of model outputs with beta and covariance matrices.
cell_type: Character. Cell type of interest.
effect_names: Character vector of length 2 indicating the covariates to contrast.
beta_name: Name of the beta matrix (default: "beta_estimate").
covariance_name: Name of the covariance matrix (default: "vcov").
sided: Integer. 1 for one-sided, 2 for two-sided test.
direction: Character. "pos" or "neg", used if sided = 1.

Value

A data frame with columns: name, pval, and qval.