Package index • sometears

All functions

adj_mat_to_long(): Converts an adjacency matrix to a long format dataframe

dagma_fit_linear() dagma_fit_linear_optim(): DAGMA algorithm to learn DAGs

fit_topo(): Fit TOPO from Deng et al 2023

h_expm() h_expm_grad(): Implements the matrix exponential acyclicity regularizer from DAGs with no TEARS (Zheng et al 2018)

h_logdet() h_logdet_grad(): Computes the log-determinant acyclicity characterization

is_dag(): Checks if matrix is a directed acyclic graph

sim_linear_sem(): Simulate from linear SEM

spectral_radius(): Computes the spectral radius (the largest absolute eigenvalue) of a matrix

threshold_W(): Threshold a matrix by setting the variables less than threshold to 0

total_to_direct() direct_to_total(): Converts total effects to direct effects and visa verse