synthetic_data_nonlinear: synthetic nonlinear data base on the graph

In DMIRLAB-Group/SELF: A Structural Equation Embedded Likelihood Framework for Causal Discovery

Description

synthetic nonlinear data base on the graph. The data generation mechanism is y=scale(a1b1x^2+a2b2x^3+a3b3x^4+a4b4sin(x)+a5b5sin(x^2)).

Usage

synthetic_data_nonlinear(G, sample_num, ratio = 1, return_noise = FALSE)

Arguments

G	An adjacency matrix.
sample_num	The number of samples
ratio	The noise ratio. It will grow or shrink the value of the noise.
return_noise	Whether return the noise of each nodes for further analysis.

Value

Return a synthetic data

Examples

G<-matrix(c(0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0),nrow = 4,ncol = 4)
data=synthetic_data_nonlinear(G,100)

DMIRLAB-Group/SELF documentation built on May 28, 2019, 12:18 p.m.