bootNetDescriptives function

Descriptive statistics for bootNet objects

Currently only works for GGMs, including the between-subjects network returned in the mlGVAR output.

## S3 method for class 'bootNet'
summary(object, centrality = TRUE, ...)

cscoef(object, cor = 0.7, ci = 0.95, first = TRUE, verbose = TRUE)

Arguments

• object: bootNet output
• centrality: Logical. Determines whether or not strength centrality and expected influence should be computed for output.
• ...: Additional arguments.
• cor: Numeric value to indicate the correlation stability value to be computed.
• ci: Numeric. Confidence interval level for CS coefficient.
• first: Logical. Whether or not to count the first instance that a CS statistic dips below the requisite threshold. Often times the value of this will not affect the results. When it does, if first = TRUE then the calculation will be more conservative.
• verbose: Logical. Whether to write out the full statement of the CS coefficient in output. Set to FALSE if you want the details about the CS coefficient saved as attributes on the output.

Returns

A table of descriptives for bootNet objects, or correlation-stability coefficients for the case-drop bootstrap.

Details

Outputs correlation-stability (CS) coefficients for the case-drop bootstrap.

Examples

boot1 <- bootNet(ggmDat, 'M')
summary(boot1)

boot2 <- bootNet(gvarDat, 'M', lags = 1)

mod1 <- varSelect(gvarDat, 'M', lags = 1)
boot3 <- bootNet(gvarDat, 'M', lags = 1, type = mod1, caseDrop = TRUE)
summary(boot3)

See Also

bootNet