generate_missing_data: Simulate data and parameters including missing actors.

In Rmomal/nestor: Network inference from Species counTs with missing actORs

Description

Simulate data and parameters including missing actors.

Usage

generate_missing_data(n, p, r = 1, type, plot = FALSE, dens = 2/p)

Arguments

n	number of samples
p	number of observed species
r	number of missing actors
type	type of conditional dependency structure (graph), either "erdos", "cluster", or "scale-free".
plot	should the simulated graph be plotted ? default to FALSE
dens	density parameter for cluster and erdos graphs. For erdos graphs, this corresponds to the edges probability of connectance

Value

• Y: Observed count data

• UH: Hidden latent Gaussian parameters

• Sigma: Observed bloc of the variance-covariance matrix

• Omega: Observed bloc of the precision matrix

• G: The generated conditional dependency structure

• TC: The true clique of neighbors of the missing actors (a list if r>1)

• H: Indexes corresponding to missing actors in the original data

Examples

n=100
p=10
r=1
type="scale-free"
data=generate_missing_data(n,p,r,type, plot=TRUE)
str(data)

Rmomal/nestor documentation built on Dec. 16, 2020, 7:54 p.m.