get_pval: Compute p-values based on asymptotic normality
In adaptest: Data-Adaptive Statistics for High-Dimensional Multiple Testing

Compute p-values based on asymptotic normality

1	get_pval(Psi_output, EIC_est_final, alpha = 0.05)

`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

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

adaptest documentation built on April 28, 2020, 7:24 p.m.

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Data-Mining Biomarkers and High-Dimensional Testing

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