ggmGenerator: Generates a function that simulates data from the Gaussian...

In bootnet: Bootstrap Methods for Various Network Estimation Routines

Generates a function that simulates data from the Gaussian graphical model (GGM)

Description

Generates data given a partial correlation network. Data can be made ordinal by using a threshold model with equally spaced thresholds.

Usage

ggmGenerator(ordinal = FALSE, nLevels = 4, skewFactor = 1, type =
                   c("uniform", "random"), missing = 0)

Arguments

ordinal	Logical, should ordinal data be generated?
nLevels	Number of levels used in ordinal data.
skewFactor	How skewed should ordinal data be? 1 indicates uniform data and higher values increase skewedness.
type	Should thresholds for ordinal data be sampled at random or determined uniformly?
missing	Proportion of data that should be simulated to be missing.

Author(s)

Sacha Epskamp <[e-mail]>

bootnet documentation built on May 29, 2024, 8:38 a.m.