fabp_lin_reg: Compute FAB p-values under linear regression linking model

In j-g-b/BTF: What the Package Does (One Line, Title Case)

Description

Comutes FAB p-values based on a linear regression linking model for matrix data given row and column covariates.

Usage

fabp_lin_reg(
  Y,
  S,
  R,
  U,
  V,
  pool_sampling_var = T,
  Y1 = NULL,
  S1 = NULL,
  R1 = NULL
)

Arguments

Y	matrix of averages of experimental readout values over R replicates
S	matrix of standard errors of experimental readout values over R replicates
R	number of replicates per readout value
U	the row features
V	the column features
pool_sampling_var	logical; indicates whether sampling variance should be assumed the same across hypothesis tests
Y1	matrix of averages of experimental readout values over R1 replicates (used for contrast scores for two-sample t-tests; Y is taken to be the other sample)
S1	matrix of standard errors of experimental readout values in Y1 over R1 replicates
R1	number of replicates per readout value in Y1

Value

A data.frame of FAB p-values and the standard UMP p-values, one for each entry in Y (or each contrast score Y - Y1)

j-g-b/BTF documentation built on Oct. 11, 2020, 7:12 a.m.