simuXY: Simulate the data of hidden compact representation model.

In HCR: Causal Discovery from Discrete Data using Hidden Compact Representation

Description

Generate the X->Y pair HCR data

Usage

simuXY(sample_size = 2000, min_nx = 3, max_nx = 15, min_ny = 3,
  max_ny = 15, type = 0, distribution = "multinomial")

Arguments

sample_size	Sample size
min_nx	The minimum value of |X| (Default: 3)
max_nx	The maximum value of |X| (Default: 15)
min_ny	The minimum value of |Y| (Default: 3)
max_ny	The maximum value of |Y| (Default: 15)
type	type=0: standard version, type=1: |X|=|Y|, type=2: |Y'|=|Y|, type=3: |X|=|Y'|, type=4: |X|=|Y'|=|Y| (Default: type=0)
distribution	The distribution of the cause X. The options are "multinomial","geom","hyper","nbinom","pois". Default: multinomial

Value

return the synthetic data

Examples

df=simuXY(sample_size=100,type=0)
length(unique(df[,1]))
length(unique(df[,2]))
length(unique(df[,3]))

df=simuXY(sample_size=100,type=1)
length(unique(df[,1]))
length(unique(df[,3]))

df=simuXY(sample_size=100,type=2)
length(unique(df[,2]))
length(unique(df[,3]))

df=simuXY(sample_size=100,type=3)
length(unique(df[,1]))
length(unique(df[,2]))

df=simuXY(sample_size=100,type=4)
length(unique(df[,1]))
length(unique(df[,2]))
length(unique(df[,3]))

HCR documentation built on May 2, 2019, 10:15 a.m.