Description Usage Arguments Value References Examples
View source: R/coef.estimate.R
There is a direct correspondence between the inverse covariance matrix and multiple regression \insertCitekwan2014regression,Stephens1998BGGM. This readily allows for converting the GGM paramters to regression coefficients. All data types are supported.
1 2 |
object |
An Object of class |
iter |
Number of iterations (posterior samples; defaults to the number in the object). |
progress |
Logical. Should a progress bar be included (defaults to |
... |
Currently ignored. |
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 explore
(the fitted model).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | # note: iter = 250 for demonstrative purposes
# data
Y <- ptsd[,1:4]
##########################
### example 1: ordinal ###
##########################
# fit model (note + 1, due to zeros)
fit <- explore(Y + 1,
type = "ordinal",
iter = 250,
progress = FALSE)
# summarize the partial correlations
reg <- coef(fit, progress = FALSE)
# summary
summ <- summary(reg)
summ
|
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