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AMR_build()
Build AMR vector
AMR_search()
Identifying aggregated mediator regions (AMR)
combp2()
Identification of differentially methylated regions (DMR)
estimate_effect()
The function hdmax2::estimate_effect() takes as input an object hdmax2_step1 and a list of potential mediators MS to be analyzed in subsequent steps.
hdmax2_qvalue()
Compute q-values from p-values
helper_ex
Dataset for helper function example
lfmm2_med()
Fitting Latent Factor Mixed Models (Least squares algorithm)
lfmm2_med_test()
P-values adjusted for latent factors computed by lfmm2
plot_hdmax2()
Summary plot for HDMAX2
plot_multivariate()
Summary plot for multivariate exposure variables
plot_univariate()
Summary plot for univariate exposure variables
plot_univariate_cat()
Summary plot for categorical exposure variables
run_AS()
The function hdmax2::run_AS() evaluates the association between exposure variables, intermediary variables and the outcome variable using a latent factor mixed model (LFMM Caye et al. 2019) to estimate K unobserved latent factors U.
simu_data
Dataset for example