bootnet: ggmGenerator – R documentation

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ggmGenerator

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

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

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

`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.

Sacha Epskamp <mail@sachaepskamp.com>

Bootstrap Methods for Various Network Estimation Routines

v1.4.3

GPL-2

Authors

Sacha Epskamp [aut, cre], Eiko I. Fried [ctb]

Initial release