Adaptive P-Value Thresholding for Multiple Hypothesis Testing with Side Information


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Documentation for package ‘adaptMT’ version 1.0.0

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adapt Adaptive P-value Thresholding
adapt_gam Adaptive P-value Thresholding with Generalized Additive Models
adapt_glm Adaptive P-value Thresholding with Generalized Linear Models
adapt_glmnet Adaptive P-value Thresholding with L1/L2 Penalized Generalized Linear Models
beta_family Generate exp_family Objects for Exponential Families
corr_lfdr Quantifying Information Loss of Adaptive P-Value Thresholding
ctgm_lfdr Fitting Conditional Two-Groups Models on Unmasked P-Values
estrogen Gene/Drug response dataset
gen_adapt_model adapt_model Objects for M-steps
gen_exp_family Generate exp_family Objects for Exponential Families
inv_gaussian_family Generate exp_family Objects for Exponential Families
plot_1d Plotting Functions for AdaPT with 1D Covariates
plot_1d_lfdr Plotting Functions for AdaPT with 1D Covariates
plot_1d_thresh Plotting Functions for AdaPT with 1D Covariates
plot_2d Plotting Functions for AdaPT with 2D Covariates
plot_2d_lfdr Plotting Functions for AdaPT with 2D Covariates
plot_2d_thresh Plotting Functions for AdaPT with 2D Covariates