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

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

## Documentation for package ‘adaptMT’ version 1.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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