selected function

Shows which variables were selected for each node of a network

Provides a quick representation showing which variables were selected as predictors of each node in a network, both for unmoderated and moderated networks. Especially useful as a way to see which variables were selected in a variable selection procedure, such as through the varSelect

and resample functions.

selected(object, threshold = FALSE, mod = c("temporal", "between"))

Arguments

• object: Output from either fitNetwork or mlGVAR
• threshold: Can be a numeric value between 0 and 1, or defaults to .05 when set to TRUE
• mod: Only relevant to models fit with mlGVAR

Returns

A table where the columns represent nodes, and the rows show which variables were selected in predicting each node. For moderated networks, the output is a list that separates main effects (mods) from interaction effects (ints).

Details

The threshold argument allows the user to set a threshold for p-values, such that the output only reflects the predictors that are significant at that threshold. This argument can be utilized whether or not a variable selection procedure has been employed.

Examples

fit1 <- fitNetwork(ggmDat)
selected(fit1)

fit2 <- mlGVAR(mlgvarDat, m = 'M', verbose = FALSE)
selected(fit2, threshold = TRUE, mod = 'temporal') # Can also set to 'between'

fit3 <- fitNetwork(gvarDat, moderators = 'M', type = 'varSelect', lags = 1)
selected(fit3)

See Also

fitNetwork, mlGVAR