Function reference • latentnetmediate

All functions

ASE(): Title

addhealth: A portion of the AddHealth dataset pulled from an archived UCI site

U() US() V() VS(): Helper functions for including node embeddings in formulas

glasgow: Teenage Friends and Lifestyle Data

leukemia: Leukemia cases by census tract in New York

maltreatment: Child maltreatment data

model_block(): Title

model_canonical(): Title

model_mediator_block(): Title

model_mediator_block2(): Title

model_mediator_informative(): Title

model_mediator_perfect(): Title

model_mediator_uninformative(): Title

model_null(): Title

model_null2(): Title

model_outcome_normal(): Mediator-pass through with normal errors

model_outcome_t(): Mediator-pass through with normal errors

model_perfect(): Title

model_shift(): Title

model_uninformative(): Title

netmediate(): Estimate network direct and indirect effects via a spectral method

nodelm(): Use spectral node embeddings in ordinary least squares regression

nodelm_robust(): Use spectral node embeddings in OLS with robust standard errors

plot_expected_a_pre_trt() plot_expected_a_post_trt() plot_expected_a_pre_post_diff() plot_z_pre_post_diff() plot_sparse_adjacency_matrix() plot_tidygraph_matrix() plot_tidygraph_matrix_rownormalized(): Title

reddit: Top level gender-flaired Reddit comments

sample_tidygraph(): Sample from a mediated RDPG object

sensitivity_curve(): Estimate mediated effects for a variety of embedding dimensions

sensitivity_curve_custom(): Estimate mediated effects for a variety of embedding dimensions using custom embedding

sensitivity_curve_long(): Estimate mediated effects for a variety of embedding dimensions

smoking: Smoking in a network of chinese college students

Z() Y(): Helper functions for including rotated node embeddings in formulas