data_generator: Syntheic data generator

In git-tjj/DtracePLN: DtracePLN: Sparse precision matrix estimation via lasso penalized D-trace loss in the multivariate Poisson log-normal model

Syntheic data generator

Description

Generate the syntheic data from multivariate poisson log-normal distribution.

Usage

data_generator(n = 100, p = 50, densy_degree = 0.05, sd_ls = 0.1, mean_ls = log(10), value_nondiagonal = 0.3)

Arguments

n	Sample size.
p	Dimension.
densy_degree	The proportion of edge connected in network.
sd_ls	The standard deviation of library size.
mean_ls	The expectation of library size.
value_nondiagonal	The valus of non-diagonal element in precision matrix.

Value

A list which contain the following result:

obs_mat	The matrix of syntheic count data.
S_depth	The vector of syntheic library size.
Pre_mat	The matrix of syntheic precision matrix.

Examples

# Library package
library(MASS)

##
# Generator the syntheic data
data_generator_res<-DtracePLN::data_generator(n = 100, p = 50, densy_degree = 0.05,
sd_ls = 0.1, mean_ls = log(10),value_nondiagonal = 0.3)

git-tjj/DtracePLN documentation built on Jan. 30, 2023, 1:47 a.m.