get_pval: Compute p-values based on asymptotic normality

In wilsoncai1992/adaptest: Data-Adaptive Statistics for High-Dimensional Multiple Testing

Description

Compute p-values based on asymptotic normality

Usage

get_pval(Psi_output, EIC_est_final, alpha = 0.05)

Arguments

Psi_output	vector containing differential expression estimates
EIC_est_final	matrix where each column is the efficient influence curves of the Psi_output
alpha	floating number between (0,1), significance level of the test

Value

pval p-values for each Psi_output

upper upper confidence bound for each Psi_output

lower lower confidence bound for each Psi_output

sd_by_col standard error of efficient influence curve for each Psi_output

wilsoncai1992/adaptest documentation built on Jan. 6, 2020, 2:33 p.m.