coef.estimate function

Compute Regression Parameters for estimate Objects

There is a direct correspondence between the inverse covariance matrix and multiple regression \insertCite kwan2014regression,Stephens1998BGGM. This readily allows for converting the GGM parameters to regression coefficients. All data types are supported.

## S3 method for class 'estimate'
coef(object, iter = NULL, progress = TRUE, ...)

Arguments

• object: An Object of class estimate
• iter: Number of iterations (posterior samples; defaults to the number in the object).
• progress: Logical. Should a progress bar be included (defaults to TRUE) ?
• ...: Currently ignored.

Returns

An object of class coef, containting two lists.

• betas A list of length p, each containing a p - 1 by iter matrix of posterior samples
• object An object of class estimate (the fitted model).

Examples

# note: iter = 250 for demonstrative purposes

#########################
### example 1: binary ###
#########################
# data
Y = matrix( rbinom(100, 1, .5), ncol=4)

# fit model
fit <- estimate(Y, type = "binary",
                iter = 250,
                progress = TRUE)

# summarize the partial correlations
reg <- coef(fit, progress = FALSE)

# summary
summ <- summary(reg)

summ

References

\insertAllCited